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Topic Editors

Animal Nutrition Institute, Sichuan Agricultural University, Chengdu, China
School of Animal Science and Nutritional Engineering, Wuhan Polytechnic University, Wuhan 430023, China

Feeding Livestock for Health Improvement

Abstract submission deadline
30 March 2025
Manuscript submission deadline
30 May 2025
Viewed by
28584

Topic Information

Dear Colleagues,

Livestock health has always been the most important issue in animal production. The highly concentrated and intensive development of the livestock industry causes animals to suffer from various stresses and makes them more susceptible to diseases. At present, antibiotics are banned and restricted in animal feed globally, making livestock health problems more serious. Ensuring livestock health guarantees livestock productivity, product quality, and animal welfare. Several feeding and nutritional strategies, including, but not limited to, feed structure, nutrient composition, bio-active compounds, feeding mode, etc., aim to promote anti-oxidative and anti-inflammation capacities, regulate immune response, and enhance intestinal health to improve livestock health.

The goal of this Topic is to collect potential solutions for health improvement in livestock. Basic and practical studies investigating such solutions in livestock and animal models are welcome.

Dr. Hui Yan
Dr. Xiao Xu
Topic Editors

Keywords

  • livestock health
  • nutrition
  • diseases
  • oxidative stress
  • inflammation
  • gut microbiota
  • immunity

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Animals
animals
2.7 4.9 2011 16.1 Days CHF 2400 Submit
Antioxidants
antioxidants
6.0 10.6 2012 15.5 Days CHF 2900 Submit
Veterinary Sciences
vetsci
2.0 2.9 2014 20.9 Days CHF 2100 Submit
Agriculture
agriculture
3.3 4.9 2011 20.2 Days CHF 2600 Submit

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Published Papers (16 papers)

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22 pages, 10196 KiB  
Article
Metagenomics-Metabolomics Exploration of Three-Way-Crossbreeding Effects on Rumen to Provide Basis for Crossbreeding Improvement of Sheep Microbiome and Metabolome of Sheep
by Haibo Wang, Jinshun Zhan, Haoyun Jiang, Haobin Jia, Yue Pan, Xiaojun Zhong, Junhong Huo and Shengguo Zhao
Animals 2024, 14(15), 2256; https://doi.org/10.3390/ani14152256 - 3 Aug 2024
Cited by 1 | Viewed by 1038
Abstract
The objective of this experiment was to explore the effects of three-way hybridization on rumen microbes and metabolites in sheep using rumen metagenomics and metabolomics. Healthy Hu and CAH (Charolais × Australian White × Hu) male lambs of similar birth weight and age [...] Read more.
The objective of this experiment was to explore the effects of three-way hybridization on rumen microbes and metabolites in sheep using rumen metagenomics and metabolomics. Healthy Hu and CAH (Charolais × Australian White × Hu) male lambs of similar birth weight and age were selected for short-term fattening after intensive weaning to collect rumen fluid for sequencing. Rumen metagenomics diversity showed that Hu and CAH sheep were significantly segregated at the species, KEGG-enzyme, and CAZy-family levels. Moreover, the CAH significantly increased the ACE and Chao1 indices. Further, correlation analysis of the abundance of the top 80 revealed that the microorganisms were interrelated at the species, KEGG-enzyme, and CAZy-family levels. Overall, the microbiome significantly affected metabolites of the top five pathways, with the strongest correlation found with succinic acid. Meanwhile, species-level microbial markers significantly affected rumen differential metabolites. In addition, rumen microbial markers in Hu sheep were overall positively correlated with down-regulated metabolites and negatively correlated with up-regulated metabolites. In contrast, rumen microbial markers in CAH lambs were overall negatively correlated with down-regulated metabolites and positively correlated with up-regulated metabolites. These results suggest that three-way crossbreeding significantly affects rumen microbial community and metabolite composition, and that significant interactions exist between rumen microbes and metabolites. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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Figure 1

Figure 1
<p>Comparison of rumen microbial diversity in Hu and CAH lambs. Figures (<b>A</b>–<b>C</b>) show PCoA results for archaea (<b>A</b>), bacteria (<b>B</b>), and fungi (<b>C</b>) at the species level. Next, alpha diversity analysis of Hu and CAH rumen microbes at species (<b>D</b>–<b>G</b>), KEGG-enzyme (<b>I</b>–<b>L</b>) and CAZy-family levels (<b>N</b>–<b>Q</b>) were presented. Finally, Hu and CAH lamb were analyzed by non-metric multidimensional scaling (NMDS) at species (<b>H</b>), KEGG-enzyme (<b>M</b>), and CAZy-family levels (<b>R</b>). * in the alpha diversity plot indicates <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 1 Cont.
<p>Comparison of rumen microbial diversity in Hu and CAH lambs. Figures (<b>A</b>–<b>C</b>) show PCoA results for archaea (<b>A</b>), bacteria (<b>B</b>), and fungi (<b>C</b>) at the species level. Next, alpha diversity analysis of Hu and CAH rumen microbes at species (<b>D</b>–<b>G</b>), KEGG-enzyme (<b>I</b>–<b>L</b>) and CAZy-family levels (<b>N</b>–<b>Q</b>) were presented. Finally, Hu and CAH lamb were analyzed by non-metric multidimensional scaling (NMDS) at species (<b>H</b>), KEGG-enzyme (<b>M</b>), and CAZy-family levels (<b>R</b>). * in the alpha diversity plot indicates <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 2
<p>Analysis of rumen microbial composition, function, and correlation. Stacked histograms of the relative abundance of the rumen microbiota of the Hu and CAH groups at the kingdom (<b>A</b>), phylum (<b>B</b>), species (<b>C</b>), CAZy−family (<b>D</b>), and KEGG−enzyme (<b>E</b>) levels of the top 30. In addition, correlation network maps were constructed with abundance top 80, <span class="html-italic">p</span> &lt; 0.05, at the species (<b>F</b>), KEGG−enzyme (<b>G</b>), and CAZy−family (<b>H</b>) levels, respectively. In the network diagram, the size of the node circle represents abundance, the connecting line of the node represents correlation, the thickness of the line indicates the strength of the correlation, red indicates positive correlation, and green indicates negative correlation. We further correlated rumen microorganisms with sheep body size indicators and rumen parameters (<b>I</b>). Pairwise comparisons of body size indicators (BW: body weight, BL: body length, CC: chest circumference, BH: body height, and TC: tube circumference), rumen enzyme activity (MMC, β−GLU, xylanase, lipase, amylase, CMC, and pepsin), rumen VFA molar concentration (AA: acetic acid, PA: propionic acid, BA: butyric acid, IBA: isobutyric acid, VA: valeric acid, IVA: isovaleric acid, and TVFAs), pH, A/P (acetic acid/propionic acid), and molar proportion (AAR: AA ratio, PAR: PA ratio, BAR: BA ratio, IBAR: IBA ratio, VAR: VA ratio, and IVAR: IVA ratio) are shown <a href="#animals-14-02256-f002" class="html-fig">Figure 2</a>. Spearman’s correlation coefficient is indicated by the colored circles. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. In the heat map, * indicates significant correlation, and values indicate correlation coefficients. Finally, the linear discriminant analysis effect size (LEfSe) analysis of sheep rumen microorganisms is shown in (<b>J</b>).</p>
Full article ">Figure 2 Cont.
<p>Analysis of rumen microbial composition, function, and correlation. Stacked histograms of the relative abundance of the rumen microbiota of the Hu and CAH groups at the kingdom (<b>A</b>), phylum (<b>B</b>), species (<b>C</b>), CAZy−family (<b>D</b>), and KEGG−enzyme (<b>E</b>) levels of the top 30. In addition, correlation network maps were constructed with abundance top 80, <span class="html-italic">p</span> &lt; 0.05, at the species (<b>F</b>), KEGG−enzyme (<b>G</b>), and CAZy−family (<b>H</b>) levels, respectively. In the network diagram, the size of the node circle represents abundance, the connecting line of the node represents correlation, the thickness of the line indicates the strength of the correlation, red indicates positive correlation, and green indicates negative correlation. We further correlated rumen microorganisms with sheep body size indicators and rumen parameters (<b>I</b>). Pairwise comparisons of body size indicators (BW: body weight, BL: body length, CC: chest circumference, BH: body height, and TC: tube circumference), rumen enzyme activity (MMC, β−GLU, xylanase, lipase, amylase, CMC, and pepsin), rumen VFA molar concentration (AA: acetic acid, PA: propionic acid, BA: butyric acid, IBA: isobutyric acid, VA: valeric acid, IVA: isovaleric acid, and TVFAs), pH, A/P (acetic acid/propionic acid), and molar proportion (AAR: AA ratio, PAR: PA ratio, BAR: BA ratio, IBAR: IBA ratio, VAR: VA ratio, and IVAR: IVA ratio) are shown <a href="#animals-14-02256-f002" class="html-fig">Figure 2</a>. Spearman’s correlation coefficient is indicated by the colored circles. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. In the heat map, * indicates significant correlation, and values indicate correlation coefficients. Finally, the linear discriminant analysis effect size (LEfSe) analysis of sheep rumen microorganisms is shown in (<b>J</b>).</p>
Full article ">Figure 3
<p>Comparison of ruminal metabolites in Hu and CAH lambs. The OPLS-DA model score plots for the Hu and CAH groups are displayed in (<b>A</b>), and the metabolite volcano plots are shown in (<b>B</b>). In addition, the top 10 with the largest up-and down-regulation of differential metabolite multiplicity are shown in (<b>C</b>). Meanwhile, (<b>D</b>) plots the information of the top 20 entries with the largest number of differential metabolites annotated to the differential metabolites in the pathway using the KEGG database annotation. Subsequently, the metabolic pathways of top 20 were further mapped (<b>E</b>), and the KEGG enrichment network map of the top 5 differential metabolites was constructed (<b>F</b>). Meanwhile, we further correlated rumen metabolites with sheep body size indexes and rumen parameters (<b>G</b>), as well as rumen microbes and differential metabolites (<b>H</b>) in the top 5 pathways of the KEGG enrichment network map. Pairwise comparisons of body size indicators and rumen parameters are shown (<b>G</b>), whereas pairwise comparisons of differential metabolites in the top 5 pathways of the KEGG enrichment network maps are shown in (<b>H</b>). The correlation of rumen differential biomarkers with succinic acid is shown in (<b>I</b>). Spearman’s correlation coefficient is indicated by the colored circles. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. In the heat map, * indicates significant correlation, and values indicate correlation coefficients.</p>
Full article ">Figure 3 Cont.
<p>Comparison of ruminal metabolites in Hu and CAH lambs. The OPLS-DA model score plots for the Hu and CAH groups are displayed in (<b>A</b>), and the metabolite volcano plots are shown in (<b>B</b>). In addition, the top 10 with the largest up-and down-regulation of differential metabolite multiplicity are shown in (<b>C</b>). Meanwhile, (<b>D</b>) plots the information of the top 20 entries with the largest number of differential metabolites annotated to the differential metabolites in the pathway using the KEGG database annotation. Subsequently, the metabolic pathways of top 20 were further mapped (<b>E</b>), and the KEGG enrichment network map of the top 5 differential metabolites was constructed (<b>F</b>). Meanwhile, we further correlated rumen metabolites with sheep body size indexes and rumen parameters (<b>G</b>), as well as rumen microbes and differential metabolites (<b>H</b>) in the top 5 pathways of the KEGG enrichment network map. Pairwise comparisons of body size indicators and rumen parameters are shown (<b>G</b>), whereas pairwise comparisons of differential metabolites in the top 5 pathways of the KEGG enrichment network maps are shown in (<b>H</b>). The correlation of rumen differential biomarkers with succinic acid is shown in (<b>I</b>). Spearman’s correlation coefficient is indicated by the colored circles. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. In the heat map, * indicates significant correlation, and values indicate correlation coefficients.</p>
Full article ">Figure 4
<p>Correlation between rumen differential biomarkers and differential metabolites. (<b>A</b>) demonstrates Mantel’s r analysis of rumen differential biomarkers with differential metabolites. Spearman’s correlation coefficient is indicated by the colored circles. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. (<b>B</b>) Exhibits Spearman’s correlation analysis of rumen differential biomarkers with differential metabolites. In the heat map, * indicates significant correlation, and values indicate correlation coefficients.</p>
Full article ">
12 pages, 559 KiB  
Article
Subacute Rumen Acidosis in Greek Dairy Sheep: Prevalence, Impact and Colorimetry Management
by Nikolaos Voulgarakis, Dimitrios A. Gougoulis, Dimitra Psalla, Georgios I. Papakonstantinou, Konstantinos Katsoulis, Mariana Angelidou-Tsifida, Labrini V. Athanasiou, Vasileios G. Papatsiros and Georgios Christodoulopoulos
Animals 2024, 14(14), 2061; https://doi.org/10.3390/ani14142061 - 14 Jul 2024
Viewed by 872
Abstract
Subacute rumen acidosis (SARA) is a current issue in intensive livestock farming, and it is particularly associated with feeding high-concentrate diets. This study investigated the prevalence and impact of SARA in forty-two Greek dairy sheep flocks by recording rumen pH, milk composition, and [...] Read more.
Subacute rumen acidosis (SARA) is a current issue in intensive livestock farming, and it is particularly associated with feeding high-concentrate diets. This study investigated the prevalence and impact of SARA in forty-two Greek dairy sheep flocks by recording rumen pH, milk composition, and milk yield over a period of nine months. Moreover, it explored the use of computerized rumen colorimetry as a management and diagnostic tool for SARA in dairy sheep. In culled ewes, computerized rumen mucosal colorimetry was applied, and rumen wall samples taken for histological examination. SARA cases were identified in 19 farms (45%, n = 42). Farms with SARA cases had lower milk fat levels, while milk yield and milk protein levels did not differ based on the SARA status of the farms. In culled ewes, rumen color was significantly associated with the flock’s SARA status, and affected ewes showed increased thickness in non-keratinized and total epithelial layers. It was concluded that computerized rumen mucosal colorimetry in aged, culled ewes shows promise as an indicator, post mortem, of SARA present in dairy sheep flocks whose impact can be minimized by making significant changes in dietary management. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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Figure 1

Figure 1
<p>Measurements of the ewe rumen papillae: (a) Stratum corneum thickness. (b) Width of connective tissue. (c) Thickness of non-keratinized epithelium. (d) Total epithelium thickness. (Hematoxylin-eosin staining; magnification ×10).</p>
Full article ">
23 pages, 3591 KiB  
Article
Relationship between Rumen Microbial Differences and Phenotype Traits among Hu Sheep and Crossbred Offspring Sheep
by Haibo Wang, Jinshun Zhan, Haobin Jia, Haoyun Jiang, Yue Pan, Xiaojun Zhong, Shengguo Zhao and Junhong Huo
Animals 2024, 14(10), 1509; https://doi.org/10.3390/ani14101509 - 20 May 2024
Cited by 2 | Viewed by 1197
Abstract
This experiment was conducted to investigate the effect of three–way hybrid sheep and Hu sheep on serum indicators, rumen fermentation, rumen enzyme activity, and microorganisms in sheep. Healthy and similar birth weights from three groups (Hu, n = 11; Charolais × Australian White [...] Read more.
This experiment was conducted to investigate the effect of three–way hybrid sheep and Hu sheep on serum indicators, rumen fermentation, rumen enzyme activity, and microorganisms in sheep. Healthy and similar birth weights from three groups (Hu, n = 11; Charolais × Australian White × Hu, CAH, n = 11; Charolais × Dorper × Hu, CDH, n = 11) were selected to be fed by the ewes until 45 days of age. Subsequently, they were weaned intensively and underwent short–term fattening for 3 months along with selected male lambs fed intensively. During this period, they were fed and watered ad libitum. Blood and rumen fluid were collected and analyzed for serum indicators and rumen fluid microorganisms, enzyme activity, and VFA, respectively, at the end of the fattening period. Compared with Hu lamb, the offspring of the three–way hybrid lamb showed significant improvements in body weight, serum lactate dehydrogenase, and creatinine content. However, there was no significant effect on serum immunity and antioxidant indices. In addition, the rumen fluid volatile fatty acid (VFA) molar concentration and microcrystalline cellulose and lipase content were significantly lower in the three–way hybrid lamb compared to Hu lamb, but β–glucosidase, amylase, pepsin, and VFA molar ratio were not significantly affected. Subsequently, 16S rRNA sequencing diversity analysis revealed that three–way hybrid lamb significantly increased rumen microbial ACE and Chao1 indices compared to Hu lamb. Meanwhile, the abundance of Verrucomicrobiota and Synergistota significantly increased at the phylum level. Correlation analysis showed that Prevotella had the highest proportion, while Rikenellaceae_RC9_gut_group correlated most closely with others genus. The microbial communities isovaleric acid molar concentration and proportion were strongly correlated. In addition, there were significant differences in correlations between microbial communities and isobutyric acid, butyric acid and valeric acid content, and their molar proportion, but they were not significantly correlated with digestive enzymes. From the functional enrichment analysis, it was found that hybrid progeny were mainly enriched in the pyruvate metabolism, microbial metabolism in diverse environments, carbon metabolism, and quorum sensing pathways. In contrast, the Hu sheep were primarily enriched in the cysteine and methionine, amino sugar and nucleotide sugar, and biosynthesis of secondary metabolite pathways. These results suggest that hybridization can play a role in regulating organismal metabolism and improve animal production performance by influencing the structure and characteristics of microbial communities. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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Figure 1

Figure 1
<p>We analyze the relationship between physiological metabolism and growth traits in Hu (<b>a</b>), CAH (<b>b</b>), CDH (<b>c</b>), and lamb herd (Hu, CAH, and CDH date as a whole) (<b>d</b>). Pairwise comparisons of growth factors (BW, CC, et al.) are shown <a href="#animals-14-01509-f001" class="html-fig">Figure 1</a>. Spearman’s correlation coefficient is indicated by the color gradient. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. The type of line indicates positive or negative correlation. In the heat map, * indicates significant correlation and values indicate correlation coefficients.</p>
Full article ">Figure 2
<p>Beta diversity Composition comparison of rumen microbiota in the H, CAH, and CDH groups. (<b>a</b>) Principal coordinate analysis (PCoA), The coordinates indicate the selected primary coordinate component and the percentages indicate the contribution of the primary coordinate component to the difference in sample composition; (<b>b</b>) Non–MetricMulti–Dimensional Scaling (NMDS); stress less than 0.2 indicates that the NMDS analysis has some reliability. In this case, the closer the R–value is to 1, the greater is the between–group difference compared to the within–group difference, while <span class="html-italic">p</span> value less than 0.05 indicates that the between–group difference is significant. The closer the samples are on the coordinate graph, the higher is the similarity.</p>
Full article ">Figure 3
<p>Stacked histograms of the relative abundance of the rumen microbiota of the H, CAH, and CDH groups at the phylum (<b>a</b>) and genus (<b>b</b>) levels of the Top 10, and correlation network plots for genus level abundances above 0.50% (<b>c</b>). The horizontal coordinate is the name of the grouping, the vertical coordinate is the proportion of the species in that sample, different colored bars represent different species, and the length of the bar represents the size of the proportion of that species. The color of the dots in the network diagram represents the phylum to which they belong, and the size indicates the abundance. Meanwhile, the color of the concatenated line indicates positive (red) or negative (green) correlation, and the thickness indicates the correlation size.</p>
Full article ">Figure 4
<p>We analyzed the relationship between rumen microbial communities and rumen volatile fatty acid composition (<b>a</b>), VFA molar proportion (<b>b</b>) and rumen digestive enzyme activities (<b>c</b>) in lambs. Pairwise comparisons of rumen fermentation parameters (AA, PA, IBA, BA, IVA, VA, TVFAs, and pH.), molar proportion (A/P, AAR, PAR, IBAR, BAR, IVAR, VAR) and digestive enzyme activities (MMC, β–Glu, xylanase, lipase, amylase, CMC, pepsin) are shown <a href="#animals-14-01509-f004" class="html-fig">Figure 4</a>. Spearman’s correlation coefficient is indicated by the color gradient. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. In the heat map, * indicates significant correlation and values indicate correlation coefficients.</p>
Full article ">Figure 5
<p>Biomarkers and sheep rumen parameters evaluated for analysis. Linear discriminant analysis effect size (LEfSe) analysis (<b>a</b>) and genus level biomarkers and rumen volatile fatty acid composition (<b>b</b>) and VFA molar proportion (<b>c</b>) in lambs. Pairwise comparisons of rumen fermentation parameters (AA, PA, IBA, BA, IVA, VA, TFAs, and pH) and VFA molar proportion (A/P, AAR, PAR, IBAR, BAR, IVAR, VAR, and pH) are shown <a href="#animals-14-01509-f005" class="html-fig">Figure 5</a>. Spearman’s correlation coefficient is indicated by the color gradient. Edge width corresponds to the Mantel’s r statistic for the corresponding distance correlations, and edge color denotes the statistical significance based on permutations. In addition, we performed correlation analysis of differential biomarkers with phenotypic indicators (<b>d</b>). In the heat map, * indicates significant correlation and values indicate correlation coefficients. Correlation analysis between genus level biomarkers and sheep body weight (BW), rumen VFA molar proportion, VFA molar concentration, and digestive enzyme activities (<b>e</b>).</p>
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17 pages, 2976 KiB  
Article
Genotypic and Phenotypic Characteristics of Lactic Acid Bacteria Associated with Forage Plants in the Native Grassland of Western Inner Mongolia and Their Application for Alfalfa Silage Fermentation
by Wenlong Li, Feng Li, Chen Zhang, Jie Gao and Ya Tao
Animals 2024, 14(10), 1394; https://doi.org/10.3390/ani14101394 - 7 May 2024
Viewed by 1066
Abstract
This study was conducted to investigate the genotypic and phenotypic characteristics of lactic acid bacteria (LAB) associated with forage plants in the native grassland of western Inner Mongolia and to evaluate their effects on alfalfa silage fermentation. Forage plants and their spontaneous fermentation [...] Read more.
This study was conducted to investigate the genotypic and phenotypic characteristics of lactic acid bacteria (LAB) associated with forage plants in the native grassland of western Inner Mongolia and to evaluate their effects on alfalfa silage fermentation. Forage plants and their spontaneous fermentation silages were analysed using culture-based techniques for LAB isolation; the phenotypic properties and 16S rDNA and pheS or rpoA gene sequences of the isolates were evaluated; alfalfa was ensiled with four additive combinations: Lactiplantibacillus plantarum subsp. plantarum (GI19), Lact. plantarum subsp. plantarum and Pediococcus pentosaceus (GI19+GI51), GI19 and 20 g/kg fresh matter of sucrose (GI19+S), and GI19+GI51+S, for 60 d. A total of 73 strains belonging to 16 species were isolated. All isolates grew at 5–45 °C and in 3.0% NaCl, and most of them grew in 6.5% NaCl. Enterococcus faecalis and Lact. plantarum were 26.03% and 17.81% of the total isolates, respectively. All additives improved the silage quality, while GI19+S was more effective for alfalfa ensiling with a higher lactic acid content and lower pH, undesirable microorganism counts, and acetic acid and NH3-N contents than remnant additives. In conclusion, the LAB species were diverse, and most of them possessed good cryotolerance and osmotolerance; GI19+S was the optimal inoculant for alfalfa fermentation improvement. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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Figure 1

Figure 1
<p>Phylogenetic development tree map of 73 lactic acid bacteria strains isolated from forage plants grown in the native grassland of western Inner Mongolia and their spontaneous fermentation silages. Four different inner circles (①–④) show the sources of LAB, including materials, the collected places of samples, and the family and species of the forage plants. The groups of the isolates are labelled in the outer circle (⑤).</p>
Full article ">Figure 2
<p>Clustering of the phenotypic characteristics of the representative strains in each of the groups isolated from forage plants grown in the native grassland of western Inner Mongolia and their spontaneous fermentation silages. The dendrogram was constructed based on physiological and biochemical parameters and the API 50 CH fermentation patterns of lactic acid bacteria strains. The colour scale showed positive with blue, negative with azure, and weakly positive with slateblue.</p>
Full article ">Figure 3
<p>(<b>a</b>) Phylogenetic tree showing the relative position of representative rod-shaped strains isolated from forage plants grown in the native grassland of western Inner Mongolia and their spontaneous fermentation silages. (<b>b</b>) Phylogenetic tree showing the relative positions of representative cocci-shaped strains isolated from forage plants grown in the native grassland of western Inner Mongolia and their spontaneous fermentation silages. Neighbour-joining method was used with 16S rDNA sequences. Bootstrap values for a total of 1000 replicates are shown at the nodes of tree. <span class="html-italic">Bacillus subtilis</span> was used as an out-group. The bar indicates 1% sequence divergence; <span class="html-italic">K</span>nuc, nucleotide substitution rates.</p>
Full article ">Figure 3 Cont.
<p>(<b>a</b>) Phylogenetic tree showing the relative position of representative rod-shaped strains isolated from forage plants grown in the native grassland of western Inner Mongolia and their spontaneous fermentation silages. (<b>b</b>) Phylogenetic tree showing the relative positions of representative cocci-shaped strains isolated from forage plants grown in the native grassland of western Inner Mongolia and their spontaneous fermentation silages. Neighbour-joining method was used with 16S rDNA sequences. Bootstrap values for a total of 1000 replicates are shown at the nodes of tree. <span class="html-italic">Bacillus subtilis</span> was used as an out-group. The bar indicates 1% sequence divergence; <span class="html-italic">K</span>nuc, nucleotide substitution rates.</p>
Full article ">Figure 4
<p>(<b>a</b>) Phylogenetic trees based on partial <span class="html-italic">pheS</span> gene sequences of representative strains isolated from forage plants grown in native grassland of western Inner Mongolia and their spontaneous fermentation silages. (<b>b</b>) Phylogenetic trees based on partial <span class="html-italic">rpoA</span> gene sequences of representative strains isolated from forage plants grown in native grassland of western Inner Mongolia and their spontaneous fermentation silages. Neighbour-joining method was used with <span class="html-italic">pheS</span> or <span class="html-italic">rpoA</span> gene sequences. Bootstrap values for a total of 1000 replicates are shown at the nodes of tree. <span class="html-italic">Carnobacterium maltaromaticum</span> was used as an out-group. The bar indicates 5% sequence divergence; <span class="html-italic">K</span>nuc, nucleotide substitution rates.</p>
Full article ">Figure 4 Cont.
<p>(<b>a</b>) Phylogenetic trees based on partial <span class="html-italic">pheS</span> gene sequences of representative strains isolated from forage plants grown in native grassland of western Inner Mongolia and their spontaneous fermentation silages. (<b>b</b>) Phylogenetic trees based on partial <span class="html-italic">rpoA</span> gene sequences of representative strains isolated from forage plants grown in native grassland of western Inner Mongolia and their spontaneous fermentation silages. Neighbour-joining method was used with <span class="html-italic">pheS</span> or <span class="html-italic">rpoA</span> gene sequences. Bootstrap values for a total of 1000 replicates are shown at the nodes of tree. <span class="html-italic">Carnobacterium maltaromaticum</span> was used as an out-group. The bar indicates 5% sequence divergence; <span class="html-italic">K</span>nuc, nucleotide substitution rates.</p>
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21 pages, 2878 KiB  
Article
Effect of Milk-Feeding Frequency and Calcium Gluconate Supplementation on Growth, Health, and Reproductive and Metabolic Features of Holstein Heifers at a Rearing Farm
by Angel Revilla-Ruiz, Patricia Carulla, Aitor Fernandez-Novo, Eduardo de Mercado, Alejandro Pérez-Navarro, Raquel Patrón-Collantes, Francisco Sebastián, Sonia S. Pérez-Garnelo, Juan V. González-Martín, Fernando Estellés, Arantxa Villagrá and Susana Astiz
Animals 2024, 14(9), 1336; https://doi.org/10.3390/ani14091336 - 29 Apr 2024
Viewed by 1021
Abstract
We compared the effects of milk-feeding in 288 Holstein calves (72 per group) which were fed twice (2F) or thrice (3F) daily, with or without the addition of hydrogenated fat-embedded calcium gluconate (G) supplemented in the starter food and in the daily diet [...] Read more.
We compared the effects of milk-feeding in 288 Holstein calves (72 per group) which were fed twice (2F) or thrice (3F) daily, with or without the addition of hydrogenated fat-embedded calcium gluconate (G) supplemented in the starter food and in the daily diet up to the age of 9 months, on the calves’ metabolism, growth, health, and reproductive efficiency up to first pregnancy. The calves received 6 L of milk replacer (130 g/L) and had ad libitum access to water and textured calf starter with or without gluconate. Gluconate supplementation promoted a “catch-up” in growth in supplemented calves compared to their counterparts that did not receive gluconate. Gluconate appeared to reduce animal metabolic stress during key events, such as weaning and transfer into open-door pens, reducing fructosamine (352.61 vs. 303.06 in 3FG and 3F, respectively; p = 0.028) and urea (3F revealed the highest values compared with the other three groups: 19.06 for 3F vs. 13.9 (2F), 13.7 (2FG), and 14.3 (3FG), respectively, p = 0.002) from weaning onwards. The feeding of dairy calves with milk replacer three rather than two times per day tended to be associated with better health from weaning to 4 months old; parameters such as ultrasound lung score and calf health score improved over time (p < 0.001). Thrice-daily feeding with milk replacer tended to reduce the number of artificial inseminations per pregnancy in heifers by 0.2 points (p = 0.092). We confirmed significant correlations between early health and growth parameters and reproductive efficiency and a positive correlation between body weight and average daily weight gain and the thickness of the back fat layer in young heifers (r = 0.245; p < 0.0001; r = 0.214; p < 0.0001 respectively). Our study was conducted on a commercial farm with reasonably effective animal management, so baseline welfare was likely satisfactory. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Schematic description of the animal groups and procedures in this study. Analyses were conducted at weaning, transfer into open-door pens (ODPs), end of gluconate supplementation (E), and transfer into the reproductive herd (R). Animal age at different time points is given in parentheses. AI, artificial insemination; BF, backfat thickness as measured by ultrasonography; BW, body weight; HSc, health score; LSc, ultrasound lung score; MR, milk replacer; pre-W, preweaning period; post-W, postweaning period.</p>
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<p>Energy-related metabolites of dairy calves at weaning (W), at the moment of transfer into open-door pens (ODPs), and at the end of gluconate supplementation (E): (<b>a</b>) β-hydroxybutyrate, (<b>b</b>) non-esterified fatty acids, (<b>c</b>) glucose, (<b>d</b>) lactate, and (<b>e</b>) fructosamine. Calves were randomized to be fed twice daily (2F) or three times a day (3F) with milk replacer, in both cases with ad libitum access to solid feed with or without the addition of calcium gluconate (G). Data are mean ± SD. a and b, significant differences among groups; α, significance of the effect of time in a mixed model; γ, significance of the effect of gluconate supplementation in a mixed model; β, significance of the effect of the interaction between time and gluconate; λ, significance of the effect of feeding times.</p>
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<p>Lipid-related metabolites and urea of dairy calves at weaning (W), at the moment of transfer into open-door pens (ODPs), and at the end of gluconate supplementation (E): (<b>a</b>) triglycerides, (<b>b</b>) total cholesterol, (<b>c</b>) high-density lipoprotein cholesterol, (<b>d</b>) low-density lipoprotein cholesterol, and (<b>e</b>) urea. Data are mean ± SD. a, b, significant differences among groups; α, significance of the effect of time in a mixed model; ε, significance of the effect of the triple interaction of time, gluconate, and feeding frequency.</p>
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<p>Growth parameters of dairy calves at the moment of weaning (W), at the moment of transfer into open-door pens (ODPs), at the end of gluconate supplementation (E), and at transfer into the reproductive herd (R) only in the case of body weight: (<b>a</b>) body weight in kg, (<b>b</b>) backfat thickness as measured by ultrasonography, and (<b>c</b>) average daily weight gain in three intervals. Calves were randomized to be fed twice daily (2F) or three times a day (3F) with milk replacer, in both cases with ad libitum access to solid feed with or without the addition of calcium gluconate (G). Data are mean ± SD. W-ODP: average daily weight gain from weaning to ODP transfer; ODP-E: average daily weight gain from ODP transfer to moment E; E-R: average daily weight gain from moment E to moment R. * in panel a indicates a significant difference between group 2FG and either group 2F or 3F at weaning (<span class="html-italic">p</span> &lt; 0.05). a, b, c, d, significant differences among groups. α indicates a significant effect of time; γ, indicates a significant effect of gluconate supplementation.</p>
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<p>Reproductive parameters of dairy heifers: (<b>a</b>) age at different moments of reproductive life, (<b>b</b>) artificial inseminations per pregnancy for first pregnancy, and (<b>c</b>) survival curve showing the hazard ratio associated with age at first pregnancy. Heifers were randomized to be fed twice daily (2F) or three times a day (3F) with milk replacer during lactation, in both cases with ad libitum access to solid feed with or without the addition of calcium gluconate (G). Data are mean ± SD. * in panel (<b>b</b>) indicates a tendency of difference between group 3FG and either group 2F, 3F and 2FG (<span class="html-italic">p</span> = 0.092).</p>
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14 pages, 1188 KiB  
Article
The Effect of Colostrum Supplementation during the First 5 Days of Life on Calf Health, Enteric Pathogen Shedding, and Immunological Response
by Anna Catharina Berge, Iris Kolkman, Pleun Penterman and Geert Vertenten
Animals 2024, 14(8), 1251; https://doi.org/10.3390/ani14081251 - 22 Apr 2024
Viewed by 963
Abstract
The objective of this dairy farm study was to investigate the preweaning health, performance, immunity, and enteric pathogen shedding in calves supplemented with colostrum during five days after birth compared to calves not supplemented with colostrum. The colostrum supplementation was the previously frozen [...] Read more.
The objective of this dairy farm study was to investigate the preweaning health, performance, immunity, and enteric pathogen shedding in calves supplemented with colostrum during five days after birth compared to calves not supplemented with colostrum. The colostrum supplementation was the previously frozen colostrum added to the milk replacer from day 2–5 given to 39 calves, and 36 Control calves received a milk-derived supplement. There was no significant difference in preweaning weight gain between the treatment groups. Serum samples collected on days 2, 7, 14, and 21 indicated that total and antigen-specific IgG levels against rotavirus, coronavirus, and E. coli F5 were not significantly different between the treatment groups. Fecal samples taken on days 7, 14, and 21 were all negative for coronavirus and E. coli F5, whereas there were low levels of Cryptosporidia and a trend for low levels of rotavirus on day 14 in colostrum-supplemented compared to Control calves. Respiratory clinical signs, depressed attitude and body temperature tended to be reduced in colostrum-supplemented compared to Control calves. This study shows that, even in calves with good colostrum status and high plane of nutrition, there can be benefits of post-closure colostrum supplementation including reduced Cryptosporidia and rotavirus shedding and reduced respiratory disease. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Kaplan–Meier plot for the number of days until first diarrhea in Colost-suppl. Calves (blue) and Control calves (red). The Control calves (TX = Control in red) and colostrum-supplemented calves (TX = Colost in blue).</p>
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<p>Histogram of % fecal samples that were found positive for rotavirus and <span class="html-italic">Cryptosporidium parvum</span> in Colost-suppl. and Control calves on days 7, 14, and 21. * = statistically significant difference in stratified analysis.</p>
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<p>Histogram of % inhibition in indirect ELISA for coronavirus, rotavirus, and <span class="html-italic">E. coli</span> F5 in serum on days 2, 7, 14, and 21 for Colost-suppl. compared to Control calves.</p>
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19 pages, 2034 KiB  
Article
Effect of Simultaneous Dietary Supplementation of Betaine, Selenomethionine, and Vitamins E and C under Summer Conditions in Growing–Finishing Pigs
by Lotte De Prekel, Dominiek Maes, Alice Van den Broeke, Bart Ampe and Marijke Aluwé
Vet. Sci. 2024, 11(3), 110; https://doi.org/10.3390/vetsci11030110 - 1 Mar 2024
Cited by 1 | Viewed by 3027
Abstract
Heat stress in pigs negatively affects welfare, health, and performance. Osmoprotectants and antioxidants may alleviate oxidative damage during hot periods. We investigated whether an additive-enriched feed can reduce negative effects in pigs during summer conditions. Sixty growing–finishing pigs were allocated into two groups: [...] Read more.
Heat stress in pigs negatively affects welfare, health, and performance. Osmoprotectants and antioxidants may alleviate oxidative damage during hot periods. We investigated whether an additive-enriched feed can reduce negative effects in pigs during summer conditions. Sixty growing–finishing pigs were allocated into two groups: the control (CF) and summer feed (SF) group. The CF group contained 0.4 mg/kg inorganic selenium and 100 ppm vitamin E, while the SF group contained 0.3 mg/kg inorganic selenium, 0.1 mg/kg selenomethionine, 200 ppm vitamins E and C, and 0.2% betaine. Feed was offered ad libitum. Respiration rate, rectal and skin temperature, behaviour, and weight gain were assessed weekly. Daily measurements of these parameters were performed during a 3-day heat wave (temperature humidity index (THI) ≥ 75) and during an artificial heating period. Individual average daily water intake (ADWI) and feed intake were measured using RFID systems. The ADWI of the SF group did not change during heat load while it increased for the CF group. Independent of dietary treatment, increases in ∆THI or the THI were accompanied by significant increases in both respiration rate and skin temperature. In conclusion, the SF may induce a reduced need to increase ADWI during hot periods. In addition, mainly skin temperatures and especially respiration rates revealed the sensitivity of pigs to heat stress. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Evolution of the daily maximum temperature–humidity index (THI) and indication of the three heat peaks and min (68.7) and max (76.8) THI during the entire growing–finishing period. (<span class="html-fig-inline" id="vetsci-11-00110-i001"><img alt="Vetsci 11 00110 i001" src="/vetsci/vetsci-11-00110/article_deploy/html/images/vetsci-11-00110-i001.png"/></span> = days where physiological parameters and animal behaviour were observed between 13:00 and 17:00; <span class="html-fig-inline" id="vetsci-11-00110-i002"><img alt="Vetsci 11 00110 i002" src="/vetsci/vetsci-11-00110/article_deploy/html/images/vetsci-11-00110-i002.png"/></span> = a THI of 75 indicates a warning for heat stress).</p>
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<p>Schematic overview of the entire compartment.</p>
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<p>(<b>a</b>) Daily drinking visit [number/day], (<b>b</b>) daily drinking time [min/day], and (<b>c</b>) daily water intake [L/day] per diet group (control (CF) and summer feed (SF)) before, during, and after a period of heat load. Significant differences between diet groups and period of heat load are implemented by * (<span class="html-italic">p</span> ≤ 0.05), ** (<span class="html-italic">p</span> ≤ 0.01), or *** (<span class="html-italic">p</span> ≤ 0.001). (<span class="html-fig-inline" id="vetsci-11-00110-i003"><img alt="Vetsci 11 00110 i003" src="/vetsci/vetsci-11-00110/article_deploy/html/images/vetsci-11-00110-i003.png"/></span> = mean of the parameter of the diet group.)</p>
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<p>(<b>a</b>) Daily drinking visit [number/day], (<b>b</b>) daily drinking time [min/day], and (<b>c</b>) daily water intake [L/day] per diet group (control (CF) and summer feed (SF)) before, during, and after a period of heat load. Significant differences between diet groups and period of heat load are implemented by * (<span class="html-italic">p</span> ≤ 0.05), ** (<span class="html-italic">p</span> ≤ 0.01), or *** (<span class="html-italic">p</span> ≤ 0.001). (<span class="html-fig-inline" id="vetsci-11-00110-i003"><img alt="Vetsci 11 00110 i003" src="/vetsci/vetsci-11-00110/article_deploy/html/images/vetsci-11-00110-i003.png"/></span> = mean of the parameter of the diet group.)</p>
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13 pages, 264 KiB  
Article
Influence of a Mixture of Protein Hydrolysate from Black Soldier Fly Larvae and Schizochytrium on Palatability, Plasma Biochemistry, and Antioxidative and Anti-Inflammatory Capacity in Cat Diets
by You Li, Mingkang Liu, Yu Wei, Luyang Li, Deying Ma, Yuxiao Weng, Haifeng Wang and Xiao Xu
Animals 2024, 14(5), 751; https://doi.org/10.3390/ani14050751 - 28 Feb 2024
Viewed by 1510
Abstract
The objective of this research was to evaluate palatability, plasma biochemistry, antioxidative and anti-inflammatory capacity, and immune levels in cats by feeding supplementing inclusion of different levels of a mixture of protein hydrolysate from black soldier fly larvae and schizochytrium (BSFPs) in diets. [...] Read more.
The objective of this research was to evaluate palatability, plasma biochemistry, antioxidative and anti-inflammatory capacity, and immune levels in cats by feeding supplementing inclusion of different levels of a mixture of protein hydrolysate from black soldier fly larvae and schizochytrium (BSFPs) in diets. In the feed experiment, a total of 24 adult cats (12 females and 12 males; BW: 3.02 ± 0.06 kg) were randomly divided into four groups: (1) diet with chicken and fish meal as primary protein resource (CON); (2) diet with 5% BSFPs replacing chicken meal, fish meal, chicken oil, and fish oil (5% BSFPs); (3) 10% BSFPs; and (4) 15% BSFPs. The body weight and feed intake were recorded, and a blood sample was collected for analysis. In the palatability experiment, three diets containing 5%, 10%, and 15% BSFPs were evaluated by comparing with CON. These results suggested that different levels of BSFPs could improve palatability in cat diets by enhancing the first sniff, the first bite, and feed intake (p < 0.05). However, no significant influence existed in body weight and average daily feed intake (p > 0.05). In comparison to the CON group, 5% and 15% BSFPs significantly increased the total protein content, and all treatment groups decreased the triglyceride content and enhanced the calcium concentration in plasma; in addition, the activity of aspartate aminotransferase and alanine aminotransferase and the content of creatinine and urea nitrogen were significantly reduced by the supplementation inclusion of BSFPs in the diets (p < 0.05). The enzyme activity of glutathione peroxidase was dramatically enhanced by the supplementation of 10% and 15% BSFPs in diets compared with the CON diet, and the activity of superoxide dismutase was increased and the malondialdehyde concentration was remarkably reduced in all three treatments (p < 0.05). Compared with the CON group, different levels of BSFPs in the diets significantly increased the immunoglobulin A content in plasma; similarly, the immunoglobulin G concentration was significantly enhanced by the supplementation of 10% and 15% BSFPs in the diets (p < 0.05). Furthermore, the interleukin-1β content was significantly reduced in the inclusion of 10% and 15% BSFPs in the diets, and 15% BSFPs remarkably decreased the content of interleukin-8 in plasma compared with the CON diet (p < 0.05). To sum up, the supplementation of different levels of BSFPs exhibited a positive effect on palatability and enhanced the antioxidant, anti-inflammatory, and immune capacity. Particularly, the addition levels of 10% and 15% BSFPs were more effective in antioxidation, anti-inflammation, and immunity. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
18 pages, 5042 KiB  
Article
Selenomethionine Supplementation Mitigates Liver Dysfunction, Oxidative Injury and Apoptosis through Enhancing Antioxidant Capacity and Inhibiting JNK MAPK Pathway in Piglets Fed Deoxynivalenol-Contaminated Diets
by Haopeng Zhong, Zhouyin Huang, Lin Li, Xingping Chen, Tiande Zou, Jun Chen and Jinming You
Antioxidants 2024, 13(3), 295; https://doi.org/10.3390/antiox13030295 - 28 Feb 2024
Cited by 2 | Viewed by 1315
Abstract
This research evaluated the impacts of selenomethionine (Se-Met) on hepatic functions, oxidative stress, mitochondrial function, and apoptosis of piglets fed deoxynivalenol (DON)-contaminated diets. Twenty-four piglets were allocated four dietary treatments (n = 6) in a 28-day feeding trial. The four treatments included the [...] Read more.
This research evaluated the impacts of selenomethionine (Se-Met) on hepatic functions, oxidative stress, mitochondrial function, and apoptosis of piglets fed deoxynivalenol (DON)-contaminated diets. Twenty-four piglets were allocated four dietary treatments (n = 6) in a 28-day feeding trial. The four treatments included the control group, which received 0.3 mg/kg of Se (as Se-Met) without DON treatment, and the DON treatment groups received 0, 0.3, or 0.5 mg/kg Se as Se-Met. A dietary addition of 0.5 mg/kg Se improved liver pathology and reduced serum aspartate aminotransferase and lactate dehydrogenase levels in piglets fed DON-contaminated diets. Furthermore, 0.5 mg/kg Se mitigated the oxidative stress and apoptosis of piglets fed DON-contaminated diets, as indicated by the decreased reactive oxygen species level, and the down-regulated mRNA levels of NRF-1, Bax, and CASP9 in the liver. Importantly, 0.5 mg/kg Se enhanced the hepatic antioxidant capacity, as evidenced by increased hepatic total antioxidant capacity, catalase, glutathione peroxidase, and total superoxide dismutase activities, as well as the up-regulated mRNA levels of Nrf2, Gclm, NQO1, SOD1, and GPX1 in the liver. Moreover, 0.5 mg/kg Se down-regulated the p-JNK protein level in the liver of piglets fed DON-contaminated diets. Collectively, Se-Met supplementation mitigated liver dysfunction, oxidative injury, and apoptosis through enhancing antioxidant capacity and inhibiting the JNK MAPK pathway in piglets fed DON-contaminated diets. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Effects of selenomethionine on liver weight and hepatic histopathology of piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) Liver weight. (<b>B</b>) Liver histopathology. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05. The red arrow indicates hepatic sludge and the blue arrow indicates inflammatory infiltration.</p>
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<p>Effects of selenomethionine on serum biochemical parameters related to hepatic functions of piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) TBIL. (<b>B</b>) ALT. (<b>C</b>) AST. (<b>D</b>) LDH. (<b>E</b>) ALP. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic reactive oxygen species (ROS) level of piglets fed deoxynivalenol DON)-contaminated diets. (<b>A</b>) Representative ROS-stained paraffin sections. Magnification 400×, scale bar = 50 µm. Dihydroethidium-stained red fluorescence shows ROS level. (<b>B</b>) Relative fluorescence density. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic relative mRNA expression of mitochondrial function-related genes in piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) <span class="html-italic">PGC-1α</span> mRNA level. (<b>B</b>) <span class="html-italic">NRF</span>-<span class="html-italic">1</span> mRNA level. (<b>C</b>) <span class="html-italic">TFAM</span> mRNA level. (<b>D</b>) <span class="html-italic">ND4</span> mRNA level. (<b>E</b>) <span class="html-italic">GCK</span> mRNA level. (<b>F</b>) <span class="html-italic">CS</span> mRNA level. (<b>G</b>) <span class="html-italic">CcOX I</span> mRNA level. (<b>H</b>) <span class="html-italic">CcOX IV</span> mRNA level. (<b>I</b>) <span class="html-italic">CcOX V</span> mRNA level. (<b>J</b>) <span class="html-italic">ATPS</span> mRNA level. Abbreviations: PGC-1α, peroxisome proliferators-activated receptor γ coactivator-1α; NRF-1, nuclear respiratory factor 1; TFAM, mitochondrial transcription factor A; ND4, NADH dehydrogenase subunit 4; GCK, glucokinase; CS, citrate synthase; CcOX I, cytochrome c oxidase I; CcOX IV, cytochrome c oxidase IV; CcOX V, cytochrome c oxidase V; ATPS, adenosine triphosphate synthase. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic relative mRNA expression of apoptosis-related genes in piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) <span class="html-italic">Bcl2</span> mRNA level. (<b>B</b>) <span class="html-italic">Bax</span> mRNA level. (<b>C</b>) <span class="html-italic">CYCS</span> mRNA level. (<b>D</b>) <span class="html-italic">CASP9</span> mRNA level. (<b>E</b>) <span class="html-italic">CASP3</span> mRNA level. Abbreviations: Bcl2, B-cell lymphoma 2; Bax, Bcl2 associated X; CYCS, cytochrome c; CASP9, caspase 9; CASP3, caspase 3. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic antioxidant status in piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) T-AOC. (<b>B</b>) CAT. (<b>C</b>) T-SOD. (<b>D</b>) GSH-Px. (<b>E</b>) GSH. (<b>F</b>) MDA. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic relative mRNA expression of antioxidant-related genes in piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) <span class="html-italic">Nrf2</span> mRNA level. (<b>B</b>) <span class="html-italic">Keap1</span> mRNA level. (<b>C</b>) <span class="html-italic">HO1</span> mRNA level. (<b>D</b>) <span class="html-italic">Gclc</span> mRNA level. (<b>E</b>) <span class="html-italic">Gclm</span> mRNA level. (<b>F</b>) <span class="html-italic">NQO1</span> mRNA level. (<b>G</b>) <span class="html-italic">SOD1</span> mRNA level. (<b>H</b>) <span class="html-italic">SOD2</span> mRNA level. (<b>I</b>) <span class="html-italic">GPX1</span> mRNA level. Abbreviations: Nrf2, nuclear factor erythroid 2-related factor 2; Keap1, Kelch-like ECH-associated protein l; HO1, heme oxygenase 1; Gclc, glutamate-cysteine ligase catalytic subunit; Gclm, glutamate-cysteine ligase modifier subunit; NQO1, NAD(P)H quinone oxidoreductase 1; SOD1, superoxide dismutase 1; SOD2, superoxide dismutase 2; GPX1, glutathione peroxidase 1. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic relative protein expression of JNK and p-JNK of piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) JNK protein level. (<b>B</b>) p-JNK protein level. Abbreviations: JNK, c-Jun N-terminal kinase; p-JNK, phosphorylated JNK. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic relative protein expression of ERK and p-ERK in piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) ERK protein level. (<b>B</b>) p-ERK protein level. Abbreviations: ERK, extracellular regulated protein kinases; p-ERK, phosphorylated ERK. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effects of selenomethionine on hepatic relative protein expression of p38 and p-p38 in piglets fed deoxynivalenol (DON)-contaminated diets. (<b>A</b>) p38 protein level. (<b>B</b>) p-p38 protein level. Abbreviations: p38, p38 mitogen activated protein kinases; p-p38, phosphorylated p38. Each bar in the graph symbolizes mean ± SEM with 6 replicates. * <span class="html-italic">p</span> &lt; 0.05.</p>
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23 pages, 5298 KiB  
Article
Intrauterine Growth Restriction Affects Colonic Barrier Function via Regulating the Nrf2/Keap1 and TLR4-NF-κB/ERK Pathways and Altering Colonic Microbiome and Metabolome Homeostasis in Growing–Finishing Pigs
by Liang Xiong, Md. Abul Kalam Azad, Yang Liu, Wanghong Zhang, Qian Zhu, Chengjun Hu, Jinming You and Xiangfeng Kong
Antioxidants 2024, 13(3), 283; https://doi.org/10.3390/antiox13030283 - 26 Feb 2024
Cited by 1 | Viewed by 1423
Abstract
Intrauterine growth restriction (IUGR) pigs are characterized by long-term growth failure, metabolic disorders, and intestinal microbiota imbalance. The characteristics of the negative effects of IUGR at different growth stages of pigs are still unclear. Therefore, this study explored through multi-omics analyses whether the [...] Read more.
Intrauterine growth restriction (IUGR) pigs are characterized by long-term growth failure, metabolic disorders, and intestinal microbiota imbalance. The characteristics of the negative effects of IUGR at different growth stages of pigs are still unclear. Therefore, this study explored through multi-omics analyses whether the IUGR damages the intestinal barrier function and alters the colonization and metabolic profiles of the colonic microbiota in growing-finishing pigs. Seventy-two piglets (36 IUGR and 36 NBW) were allocated for this trial to analyze physiological and plasma biochemical parameters, as well as oxidative damage and inflammatory response in the colon. Moreover, the colonic microbiota communities and metabolome were examined using 16s rRNA sequencing and metabolomics technologies to reveal the intestinal characteristics of IUGR pigs at different growth stages (25, 50, and 100 kg). IUGR altered the concentrations of plasma glucose, total protein, triglycerides, and cholesterol. Colonic tight junction proteins were markedly inhibited by IUGR. IUGR decreased plasma T-AOC, SOD, and GSH levels and colonic SOD-1, SOD-2, and GPX-4 expressions by restraining the Nrf2/Keap1 signaling pathway. Moreover, IUGR increased colonic IL-1β and TNF-α levels while reducing IL-10, possibly through activating the TLR4-NF-κB/ERK pathway. Notably, IUGR pigs had lower colonic Streptococcus abundance and Firmicutes-to-Bacteroidetes ratio at the 25 kg BW stage while having higher Firmicutes abundance at the 100 kg BW stage; moreover, IUGR pigs had lower SCFA concentrations. Metabolomics analysis showed that IUGR increased colonic lipids and lipid-like molecules, organic acids and derivatives, and organoheterocyclic compounds concentrations and enriched three differential metabolic pathways, including linoleic acid, sphingolipid, and purine metabolisms throughout the trial. Collectively, IUGR altered the nutrient metabolism, redox status, and colonic microbiota community and metabolite profiles of pigs and continued to disrupt colonic barrier function by reducing antioxidant capacity via the Nrf2/Keap1 pathway and activating inflammation via the TLR4-NF-κB/ERK pathway during the growing-finishing stage. Moreover, colonic Firmicutes and Streptococcus could be potential regulatory targets for modulating the metabolism and health of IUGR pigs. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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Graphical abstract

Graphical abstract
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<p>Effects of intrauterine growth restriction (IUGR) on plasma redox status in growing-finishing pigs (<span class="html-italic">n</span> = 10). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. C25, C50, and C100 represent the plasma samples obtained from the pigs when the normal birth weight (NBW) pigs reached 25, 50, and 100 kg body weight. GSH, glutathione; MDA, malondialdehyde; SOD, superoxide dismutase; T-AOC, total antioxidant capacity.</p>
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<p>Effects of intrauterine growth restriction (IUGR) on the colon mucosal tight junction proteins in growing-finishing pigs (<span class="html-italic">n</span> = 6). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. C25, C50, and C100 represent the samples obtained from the colonic mucosa of pigs when the normal birth weight (NBW) pigs reached 25, 50, and 100 kg body weight. ZO-1, zonula occludens.</p>
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<p>Effects of intrauterine growth restriction (IUGR) on the levels (<b>A</b>) and relative mRNA expressions (<b>B</b>) of colonic mucosal oxidative status parameters in growing-finishing pigs (<span class="html-italic">n</span> = 10). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. C25, C50, and C100 represent the samples obtained from the colon mucosa of pigs when the normal birth weight (NBW) pigs reached 25, 50, and 100 kg body weight. T-AOC, total antioxidant capacity; MDA, malondialdehyde; SOD, superoxide dismutase; GSH, glutathione; GPX, glutathione peroxidase.</p>
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<p>Effects of intrauterine growth restriction (IUGR) on the levels (<b>A</b>) and relative mRNA expressions (<b>B</b>) of colonic mucosal inflammatory cytokines in growing-finishing pigs (<span class="html-italic">n</span> = 10). * <span class="html-italic">p</span> &lt; 0.05. C25, C50, and C100 represent the samples obtained from the colonic mucosa of pigs when the normal birth weight (NBW) pigs reached 25, 50, and 100 kg body weight. <span class="html-italic">IL-1β</span>, interleukin-1β; <span class="html-italic">IL</span>-10, interleukin 10; <span class="html-italic">TNF-α</span>, tumor necrosis factor-α.</p>
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<p>Effects of intrauterine growth restriction (IUGR) on colonic Nrf2/Keap1 signaling pathway in growing-finishing pigs (<span class="html-italic">n</span> = 6). * <span class="html-italic">p</span> &lt; 0.05. C25, C50, and C100 represent the samples obtained from the colonic mucosa of pigs when the normal birth weight (NBW) pigs reached 25, 50, and 100 kg body weight.</p>
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<p>Effects of intrauterine growth restriction (IUGR) on colonic TLR4-NF-κB/ERK signaling pathway in growing-finishing pigs (<span class="html-italic">n</span> = 6). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. C25, C50, and C100 represent the samples obtained from the colonic mucosa of pigs when the normal birth weight (NBW) pigs reached 25, 50, and 100 kg body weight.</p>
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<p>Differences in microbial alpha-diversity in colonic contents between the intrauterine growth restriction (IUGR) pigs and normal birth weight (NBW) pigs (<b>A</b>). * <span class="html-italic">p</span> &lt; 0.05. Scatterplots from the principal component analysis (PCA) (<b>B</b>–<b>D</b>) and partial least square discriminant analysis (PLS-DA) (<b>E</b>–<b>G</b>) of OTUs show the differences in microbial community structures (<span class="html-italic">n</span> = 10). Each symbol represents the colonic microbiota of one pig (<span style="color:red">●</span> IUGR; <span style="color:#0070C0">■</span> NBW). C25, C50, and C100 represent the samples obtained from the colon of pigs when the NBW pigs reached 25, 50, and 100 kg body weight.</p>
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<p>Colonic microbiota composition of intrauterine growth restriction (IUGR) pigs and normal birth weight (NBW) pigs at the 25, 50, and 100 kg body weight (BW) stages at the phylum (<b>A</b>), family (<b>B</b>), and genus (<b>C</b>) levels. The top 20 abundant genera with a proportion of &gt;0.01 are listed. CI and CN represent the samples obtained from the colon of IUGR pigs and NBW pigs, respectively; 25, 50, and 100 represent 25, 50, and 100 kg BW stages, respectively.</p>
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<p>LEfSe analysis (<b>A</b>) at the genus level (LDA score ≥ 2) and PICRUSt analysis (level 2) (<b>B</b>) of predictive metagenomics function of colonic microbial community between intrauterine growth restriction (IUGR) pigs and normal birth weight (NBW) pigs at the 25, 50, and 100 kg body weight (BW) stages. CI and CN represent samples obtained from the colon of IUGR pigs and NBW pigs, respectively; 25, 50, and 100 represent 25, 50, and 100 kg BW stages, respectively.</p>
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<p>Score plots of principal component analysis (PCA) (<b>A</b>–<b>F</b>) and orthogonal partial least square discriminant analysis (OPLS-DA) (<b>G</b>–<b>L</b>) model derived from the UPLC–(+) ESI–MS/MS data of colonic metabolites of intrauterine growth restriction (IUGR) pigs and normal birth weight (NBW) pigs at the 25, 50, and 100 kg body weight (BW) stages. (<b>A</b>–<b>C</b>) represent PCA in ESI<sup>+</sup> at the 25, 50, and 100 kg BW stages, respectively; (<b>D</b>–<b>F</b>) represent PCA in ESI<sup>–</sup> at the 25, 50, and 100 kg BW stages, respectively; (<b>G</b>–<b>I</b>) represent OPLS-DA in ESI<sup>+</sup> at the 25, 50, and 100 kg BW stages, respectively; (<b>J</b>–<b>L</b>) represent OPLD-DA in ESI<sup>–</sup> at the 25, 50, and 100 kg BW stages, respectively.</p>
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<p>Pathway analysis of the colonic metabolites in the intrauterine growth restriction (IUGR) pigs and normal birth weight (NBW) pigs at the 25 (<b>A</b>) and 100 (<b>B</b>) kg body weight (BW) stages. The <span class="html-italic">X</span>-axis represents the impact factors of the pathway in topological analysis, and the <span class="html-italic">Y</span>-axis represents the <span class="html-italic">p</span>-value in pathway enrichment.</p>
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<p>Spearman correlation analysis of differential microbial genera and potential differential metabolites (fold change &gt; 1.5 or &lt;1.0, VIP &gt; 1.0) at the 25 (<b>A</b>), 50 (<b>B</b>), and 100 (<b>C</b>) kg body weight stages. * indicates significant correlations between intrauterine growth restriction (IUGR) pigs and normal birth weight (NBW) pigs; the red color represents a positive correlation, and the blue color represents a negative correlation.</p>
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14 pages, 3307 KiB  
Article
Lactobacillus johnsonii Improves Intestinal Barrier Function and Reduces Post-Weaning Diarrhea in Piglets: Involvement of the Endocannabinoid System
by Zhangzheng Yin, Kaijun Wang, Yun Liu, Yunxia Li, Fang He, Jie Yin and Wenjie Tang
Animals 2024, 14(3), 493; https://doi.org/10.3390/ani14030493 - 2 Feb 2024
Cited by 2 | Viewed by 1436
Abstract
Probiotic intervention is a well-established approach for replacing antibiotics in the management of weaning piglet diarrhea, which involves a large number of complex systems interacting with the gut microbiota, including the endocannabinoid system; nevertheless, the specific role of the endocannabinoid system mediated by [...] Read more.
Probiotic intervention is a well-established approach for replacing antibiotics in the management of weaning piglet diarrhea, which involves a large number of complex systems interacting with the gut microbiota, including the endocannabinoid system; nevertheless, the specific role of the endocannabinoid system mediated by probiotics in the piglet intestine has rarely been studied. In this study, we used antibiotics (ampicillin) to perturb the intestinal microbiota of piglets. This resulted in that the gene expression of the intestinal endocannabinoid system was reprogrammed and the abundance of probiotic Lactobacillus johnsonii in the colon was lowered. Moreover, the abundance of Lactobacillus johnsonii was positively correlated with colonic endocannabinoid system components (chiefly diacylglycerol lipase beta) via correlation analysis. Subsequently, we administered another batch of piglets with Lactobacillus johnsonii. Interestingly, dietary Lactobacillus johnsonii effectively alleviated the diarrhea ratio in weaning piglets, accompanied by improvements in intestinal development and motility. Notably, Lactobacillus johnsonii administration enhanced the intestinal barrier function of piglets as evidenced by a higher expression of tight junction protein ZO-1, which might be associated with the increased level in colonic diacylglycerol lipase beta. Taken together, the dietary Lactobacillus johnsonii-mediated reprogramming of the endocannabinoid system might function as a promising target for improving the intestinal health of piglets. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Effects of AMP treatment on the diarrhea, daily weight gain, and organ index of weaned piglets. (<b>A</b>) Experiment scheme of piglet antibiotic model; (<b>B</b>) Diarrhea index score; (<b>C</b>) ADG of piglets; (<b>D</b>) Organ index. Values are presented as the mean ± SEM. ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Effect of AMP treatment on the expressions of ECS-related genes. The ECS gene expression profiles. Values are presented as the means ± SEM. *, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Association analysis between the abundance of <span class="html-italic">L. johnsonii</span> and the expression of ECS-related genes (<b>A</b>) Absolute quantification of <span class="html-italic">L. johnsonii</span> in jejunal and colonic contents; (<b>B</b>) Pearson’s correlation between the abundance of <span class="html-italic">L. johnsonii</span> and the ECS gene expression. Values are presented as the means ± SEM. Pearson’s correlation coefficient in (<b>B</b>) were calculated. **, <span class="html-italic">p</span> &lt; 0.01, ***, <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Effects of dietary <span class="html-italic">L. johnsonii</span> treatment on the diarrhea, daily weight gain, and organ index of weaned piglets. (<b>A</b>) Experiment scheme of <span class="html-italic">L. johnsonii</span> intervention; (<b>B</b>) Diarrhea index score; (<b>C</b>) ADG of piglets; (<b>D</b>) Organ index. Values are presented as the means ± SEM. ****, <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Effect of dietary <span class="html-italic">L. johnsonii</span> on the expressions of intestinal health-related genes. (<b>A</b>) Intestinal development-related gene expression in jejunum and colon; (<b>B</b>) Intestinal motility-related gene expression in jejunum and colon; (<b>C</b>) Intestinal barrier-related gene expression in jejunum and colon; (<b>D</b>) Intestinal inflammation-related gene expression in jejunum and colon. Values are presented as the means ± SEM. *, <span class="html-italic">p</span> &lt; 0.05, **, <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Association analyses between the expression of intestinal health-related genes and the expression of ECS-related genes (<b>A</b>) ECS gene expression profile; (<b>B</b>) Pearson’s correlation between the ECS gene expression and intestinal health-related gene expression in the jejunum; (<b>C</b>) Pearson’s correlation between the ECS gene expression and intestinal health-related gene expression in the colon. Values are presented as the means ± SEM. Pearson’s correlation coefficient in (<b>B</b>,<b>C</b>) were calculated. *, <span class="html-italic">p</span> &lt; 0.05, **, <span class="html-italic">p</span> &lt; 0.01.</p>
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18 pages, 2114 KiB  
Article
Dietary Supplementation of Tannic Acid Promotes Performance of Beef Cattle via Alleviating Liver Lipid Peroxidation and Improving Glucose Metabolism and Rumen Fermentation
by Tengfei He, Guang Yi, Jiangong Li, Zhenlong Wu, Yao Guo, Fang Sun, Jijun Liu, Chunjuan Tang, Shenfei Long and Zhaohui Chen
Antioxidants 2023, 12(9), 1774; https://doi.org/10.3390/antiox12091774 - 18 Sep 2023
Cited by 2 | Viewed by 1778
Abstract
This study aimed to investigate the effects of dietary tannic acid (TAN) on the gas production, growth performance, antioxidant capacity, rumen microflora, and fermentation function of beef cattle through in vitro and in vivo experiments. TAN was evaluated at 0.15% (dry matter basis, [...] Read more.
This study aimed to investigate the effects of dietary tannic acid (TAN) on the gas production, growth performance, antioxidant capacity, rumen microflora, and fermentation function of beef cattle through in vitro and in vivo experiments. TAN was evaluated at 0.15% (dry matter basis, DM) in the in vitro experiment and 0.20% (DM basis) in the animal feeding experiment. The in vitro results revealed that compared with control (CON, basal diet without TAN), the addition of TAN significantly increased the cumulative gas production and asymptotic gas production per 0.20 g dry matter substrate (p < 0.01), with a tendency to reduce methane concentration after 96 h of fermentation (p = 0.10). Furthermore, TAN supplementation significantly suppressed the relative abundance of Methanosphaera and Methanobacteriaceae in the fermentation fluid (LDA > 2.50, p < 0.05). The in vivo experiment showed that compared with CON, the dietary TAN significantly improved average daily gain (+0.15 kg/d), dressing percent (+1.30%), net meat percentage (+1.60%), and serum glucose concentration (+23.35%) of beef cattle (p < 0.05), while it also significantly reduced hepatic malondialdehyde contents by 25.69% (p = 0.02). Moreover, the TAN group showed significantly higher alpha diversity (p < 0.05) and increased relative abundance of Ruminococcus and Saccharomonas (LDA > 2.50, p < 0.05), while the relative abundance of Prevotellaceae in rumen microbial community was significantly decreased (p < 0.05) as compared to that of the CON group. In conclusion, the dietary supplementation of TAN could improve the growth and slaughter performance and health status of beef cattle, and these favorable effects might be attributed to its ability to alleviate liver lipid peroxidation, enhance glucose metabolism, and promote a balanced rumen microbiota for optimal fermentation. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Effects of dietary tannic acid supplementation on the composition and diversity of rumen fermenting bacteria and methanogens of in vitro experiment. (<b>A</b>,<b>B</b>) Differences in bacteria at phylum and genus levels. (<b>D</b>,<b>E</b>) Differences in methanogens at phylum and genus levels. (<b>C</b>,<b>F</b>) The LDA effect size (LEfSe) analysis for bacteria and methanogens. <span class="html-italic">p</span> &lt; 0.05 and LDA score &gt; 2.50 were presented. CON, basic diet without TAN; TAN, substrates with 0.15% TAN (dry matter basis), <span class="html-italic">n</span> = 3.</p>
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<p>Effects of dietary tannic acid on rumen bacterial α-diversity in beef cattle. (<b>A</b>) Shannon index; (<b>B</b>) Simpson index; (<b>C</b>) Ace index; (<b>D</b>) Chao index; (<b>E</b>) Coverage index; (<b>F</b>) Sobs index. CON, basic diet without TAN; TAN, the basal diet supplemented with TAN at 0.20% DM. Sections marked with an asterisk (*) indicate <span class="html-italic">p</span> &lt; 0.05, and (**) indicates <span class="html-italic">p</span> ≤ 0.01. <span class="html-italic">n</span> = 5.</p>
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<p>Effects of dietary tannic acid on the ruminal bacterial diversity and composition in beef cattle. (<b>A</b>) Venn analysis at the OTU level; (<b>B</b>) Principal Co-ordinate Analysis (PCoA) illustrating the distribution of OTUs; (<b>C</b>,<b>D</b>) taxonomic profiling at the phylum and genus levels. CON, basic diet without TAN; TAN, the basal diet supplemented with TAN at 0.20% DM. <span class="html-italic">n</span> = 5.</p>
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<p>Effect of dietary tannic acid on rumen bacterial composition differences of beef cattle. (<b>A</b>,<b>B</b>) Divergences at the phylum and genus levels of microbiota. (<b>C</b>) Phylogenetic dendrogram; (<b>D</b>) Linear Discriminant Analysis Effect Size (LEfSe) evaluation. <span class="html-italic">p</span> &lt; 0.05 and LDA score &gt; 2.5 were presented. CON, basic diet without TAN; TAN, the basal diet supplemented with TAN at 0.20% DM; Bars marked with asterisks indicate statistical differences: * suggests <span class="html-italic">p</span> &lt; 0.05, <span class="html-italic">n</span> = 5.</p>
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11 pages, 284 KiB  
Article
Effects of Different Proportions of Amaranthus hypochondriacus Stem and Leaf Powder Inclusions on Growth Performance, Carcass Traits, and Blood Biochemical Parameters of Broilers
by Ying Ren, Lingyu Liu, Shilong Zhou, Yantao Li, Yan Wang, Kang Yang, Wenxun Chen and Shengjun Zhao
Animals 2023, 13(18), 2818; https://doi.org/10.3390/ani13182818 - 5 Sep 2023
Cited by 3 | Viewed by 1238
Abstract
This experiment aimed to study the effects of different proportions of Amaranthus hypochondriacus stem and leaf powder (AHSL) on the growth performance, apparent nutrient digestibility, carcass traits, meat quality, and blood biochemical parameters of broilers from day 1 to day 42. The experiment [...] Read more.
This experiment aimed to study the effects of different proportions of Amaranthus hypochondriacus stem and leaf powder (AHSL) on the growth performance, apparent nutrient digestibility, carcass traits, meat quality, and blood biochemical parameters of broilers from day 1 to day 42. The experiment utilized a single-factor experimental design, with a total of 216 one-day-old male broilers (Ross 308) randomly assigned to three dietary treatment groups (eight replicate cages of nine birds per cage). The dietary treatments included a control diet, a 3% AHSL diet and a 6% AHSL diet for days 0–21. Then, the 3% and 6% AHSL diets were changed to 5% and 10% AHSL for days 22–42. The results showed that the inclusion levels of AHSL did not affect growth performance, carcass traits, or meat quality on days 21 and 42 (p > 0.05). However, the inclusion levels of AHSL decreased the apparent nutrient digestibility (AND) of dry matter (DM) (p ˂ 0.001) and neutral detergent fiber (NDF) (p ˂ 0.001) and increased the serum concentration of phosphorus (p ˂ 0.001) on day 21. On day 42, the inclusion levels of AHSL decreased the AND of DM (p = 0.025) and NDF content (p ˂ 0.001), but increased the AND of crude protein (CP) (p = 0.004). In particular, the diet containing 10% AHSL significantly increased the serum enzyme activity of alkaline phosphatase (ALP) (p = 0.046) and the serum concentration of total protein (TP) (p ˂ 0.001) on day 42. Overall, AHSL can be used as a new and effective feed ingredient in broiler diets. It can replace part of the corn–soybean meal diet without any adverse effects, which is beneficial for conserving feed resources. Additionally, AHSL can be included at a level of up to 10% during the broiler growth period. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
16 pages, 2162 KiB  
Review
Research Progress of Biological Feed in Beef Cattle
by Longteng Ma, Lifen Wang, Zixi Zhang and Dingfu Xiao
Animals 2023, 13(16), 2662; https://doi.org/10.3390/ani13162662 - 18 Aug 2023
Cited by 2 | Viewed by 2677
Abstract
Biological feed is a feed product developed through bioengineering technologies such as fermentation engineering, enzyme engineering, protein engineering, and genetic engineering. It possesses functional characteristics of high nutritional value and good palatability that can improve feed utilization, replace antibiotics, enhance the health level [...] Read more.
Biological feed is a feed product developed through bioengineering technologies such as fermentation engineering, enzyme engineering, protein engineering, and genetic engineering. It possesses functional characteristics of high nutritional value and good palatability that can improve feed utilization, replace antibiotics, enhance the health level of livestock and poultry, improve the quality of livestock products, and promote a better breeding environment. A comprehensive review is provided on the types of biological feed, their mechanism of action, fermenting strains, fermenting raw material resources, and their current status in animal production to facilitate in-depth research and development of applications. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Classification diagram of fermented feed products.</p>
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<p>Classification diagram of products from enzymatic hydrolysis feed.</p>
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<p>Classification diagram illustrating the symbiotic relationship between bacteria and enzyme products.</p>
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<p>Classification diagram of products for biological feed additives.</p>
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19 pages, 6170 KiB  
Article
Heating Drinking Water in Cold Season Improves Growth Performance via Enhancing Antioxidant Capacity and Rumen Fermentation Function of Beef Cattle
by Tengfei He, Shenfei Long, Guang Yi, Xilin Wang, Jiangong Li, Zhenlong Wu, Yao Guo, Fang Sun, Jijun Liu and Zhaohui Chen
Antioxidants 2023, 12(8), 1492; https://doi.org/10.3390/antiox12081492 - 26 Jul 2023
Cited by 3 | Viewed by 1978
Abstract
The research aimed to investigate the suitable drinking water temperature in winter and its effect on the growth performance, antioxidant capacity, and rumen fermentation function of beef cattle. A total of 40 beef cattle (640 ± 19.2 kg) were randomly divided into five [...] Read more.
The research aimed to investigate the suitable drinking water temperature in winter and its effect on the growth performance, antioxidant capacity, and rumen fermentation function of beef cattle. A total of 40 beef cattle (640 ± 19.2 kg) were randomly divided into five treatments with eight cattle in each treatment raised in one pen according to initial body weight. Each treatment differed only in the temperature of drinking water, including the room-temperature water and four different heat water groups named RTW, HW_1, HW_2, HW_3, and HW_4. The measured water temperatures were 4.39 ± 2.546 °C, 10.6 ± 1.29 °C, 18.6 ± 1.52 °C, 26.3 ± 1.70 °C, and 32.5 ± 2.62 °C, respectively. The average daily gain (ADG) showed a significant linear increase during d 0 to 60 and a quadratic increase during d 31 to 60 with rising water temperature (p < 0.05), and the highest ADG of 1.1911 kg/d was calculated at a water temperature of 23.98 °C (R2 = 0.898). The average rectal temperature on d 30 (p = 0.01) and neutral detergent fiber digestibility (p < 0.01) increased linearly with increasing water temperature. Additionally, HW_2 reduced serum triiodothyronine, thyroxine, and malondialdehyde (p < 0.05), and increased serum total antioxidant capacity (p < 0.05) compared with RTW. Compared with HW_2, RTW had unfavorable effects on ruminal propionate, total volatile fatty acids, and cellulase concentrations (p < 0.05), and lower relative mRNA expression levels of claudin-4 (p < 0.01), occludin (p = 0.02), and zonula occludens-1 (p = 0.01) in the ruminal epithelium. Furthermore, RTW had a higher abundance of Prevotella (p = 0.04), Succinivibrionaceae_UCG-002 (p = 0.03), and Lachnospiraceae_UCG-004 (p = 0.03), and a lower abundance of Bifidobacteriaceae (p < 0.01) and Marinilabiliaceae (p = 0.05) in rumen compared to HW_2. Taken together, heated drinking water in cold climates could positively impact the growth performance, nutrient digestibility, antioxidant capacity, and rumen fermentation function of beef cattle. The optimal water temperature for maximizing ADG was calculated to be 23.98 °C under our conditions. Ruminal propionate and its producing bacteria including Prevotella, Succinivibrionaceae, and Lachnospiraceae might be important regulators of rumen fermentation of beef cattle drinking RTW under cold conditions. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Quadratic model of average daily gain (ADG) of beef cattle plotted against the drinking water temperature. The quadratic curve equation was <span class="html-italic">y</span> = −0.0002627 (drinking water temperature)<sup>2</sup> + 0.0126 (drinking water temperature) + 1.0403, and <span class="html-italic">R</span>² was equal to 0.8981. When the drinking water temperature was equal to 23.98 °C, the ADG (1.1911 kg/d) reached the highest point.</p>
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<p>Effect of drinking water temperature on serum antistress (<b>A</b>) and antioxidant (<b>B</b>) parameters of beef cattle. Cor, Cortisol; ALD, aldosterone; T3, triiodothyronine; T4, thyroxine; T-AOC, total antioxidant capacity; SOD, superoxide dismutase; GSH-Px, glutathione peroxidase; MDA, malondialdehyde. RTW and HW_2 denote drinking room temperature water at 4.39 ± 2.546 °C and heated water at 18.6 ± 1.52 °C, respectively. Bars marked with various asterisks (*) denote the degree of significant differences. *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01. <span class="html-italic">n</span> = 6.</p>
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<p>Effect of drinking water temperature on the concentration of cellulase (<b>A</b>) and xylanase (<b>B</b>) in rumen liquid of beef cattle. RTW and HW_2 denote drinking room temperature water at 4.39 ± 2.546 °C and heated water at 18.6 ± 1.52 °C, respectively. Bars marked with various asterisks (*) denote the degree of significant differences. *, <span class="html-italic">p</span> &lt; 0.05. <span class="html-italic">n</span> = 6.</p>
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<p>Effect of drinking water temperature on ruminal epithelial barrier function (<b>A</b>) and ruminal epithelial transporter (<b>B</b>) mRNA expression of beef cattle. ZO-1, zonula occludens-1; MCT1, monocarboxylic acid transporters 1; MCT4, monocarboxylic acid transporters 4; SGLT1, sodium-dependent glucose-linked transporter-1. RTW and HW_2 denote drinking room temperature water at 4.39 ± 2.546 °C and heated water at 18.6 ± 1.52 °C, respectively. Bars marked with various asterisks (*) denote the degree of significant differences. *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01. <span class="html-italic">n</span> = 6.</p>
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<p>Effect of drinking water temperature on bacterial α-diversity of rumen at OTU level in beef cattle. (<b>A</b>) Sobs index; (<b>B</b>) Shannon index; (<b>C</b>) Simpson index; (<b>D</b>) Ace index; (<b>E</b>) Chao index; (<b>F</b>) Coverage index. RTW and HW_2 denote drinking room temperature water at 4.39 ± 2.546 °C and heated water at 18.6 ± 1.52 °C, respectively. <span class="html-italic">n</span> = 6.</p>
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<p>Effect of drinking water temperature on rumen bacterial composition and β−diversity in beef cattle. (<b>A</b>) Venn analysis at OUT; (<b>B</b>) principal co−ordinate analysis (PCoA) at OTU level; (<b>C</b>,<b>D</b>) bacterial composition at phylum and genus levels. RTW and HW_2 denote drinking room temperature water at 4.39 ± 2.546 °C and heated water at 18.6 ± 1.52 °C, respectively. <span class="html-italic">n</span> = 6.</p>
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<p>Effect of drinking heated water and room−temperature water on rumen bacterial composition differences of beef cattle. (<b>A</b>,<b>B</b>) Differences in microorganism at phylum and genus levels. (<b>C</b>) Cladogram; (<b>D</b>) LDA. LEfSe, linear discriminant analysis of effect size; LDA, linear discriminant analysis. <span class="html-italic">p</span> &lt; 0.05 and LDA score &gt; 2.0 are presented. RTW and HW_2 denote drinking room temperature water at 4.39 ± 2.546 °C and heated water at 18.6 ± 1.52 °C, respectively. Bars marked with various asterisks (*) denote the degree of significant differences. *, <span class="html-italic">p</span> &lt; 0.05, **, <span class="html-italic">p</span> ≤ 0.01, <span class="html-italic">n</span> = 6.</p>
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<p>Spearman correlation analyses between the top 50 relatively abundant bacterial genera and other parameters. The X−axis and Y−axis are environmental factors and species, respectively, and the correlation R value and <span class="html-italic">p</span> value are obtained by calculation. R values are displayed in different colors in the figure, and the legend on the right is the color interval of different R values. ADG, average daily gain during day 0 to 60; ZO−1, zonula occludens−1; T_VFA: total volatile fatty acids. * <span class="html-italic">p</span> ≤ 0.05; ** <span class="html-italic">p</span> ≤ 0.01; *** <span class="html-italic">p</span> ≤ 0.001.</p>
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17 pages, 1291 KiB  
Review
Pros and Cons of Dietary Vitamin A and Its Precursors in Poultry Health and Production: A Comprehensive Review
by Rifat Ullah Khan, Aamir Khan, Shabana Naz, Qudrat Ullah, Nikola Puvača, Vito Laudadio, Domenico Mazzei, Alireza Seidavi, Tugay Ayasan and Vincenzo Tufarelli
Antioxidants 2023, 12(5), 1131; https://doi.org/10.3390/antiox12051131 - 20 May 2023
Cited by 5 | Viewed by 4167
Abstract
Vitamin A is a fat-soluble vitamin that cannot be synthesized in the body and must be obtained through diet. Despite being one of the earliest vitamins identified, a complete range of biological actions is still unknown. Carotenoids are a category of roughly 600 [...] Read more.
Vitamin A is a fat-soluble vitamin that cannot be synthesized in the body and must be obtained through diet. Despite being one of the earliest vitamins identified, a complete range of biological actions is still unknown. Carotenoids are a category of roughly 600 chemicals that are structurally related to vitamin A. Vitamin A can be present in the body in the form of retinol, retinal, and retinoic acid. Vitamins are required in minute amounts, yet they are critical for health, maintenance, and performing key biological functions in the body, such as growth, embryo development, epithelial cell differentiation, and immune function. Vitamin A deficiency induces a variety of problems, including lack of appetite, decreased development and immunity, and susceptibility to many diseases. Dietary preformed vitamin A, provitamin A, and several classes of carotenoids can be used to meet vitamin A requirements. The aim of this review is to compile the available scientific literature regarding the sources and important functions, such as growth, immunity, antioxidant, and other biological activities of vitamin A in poultry. Full article
(This article belongs to the Topic Feeding Livestock for Health Improvement)
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<p>Absorption and metabolism of vitamin A.</p>
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<p>Mechanism of incorporation of retinol in egg yolk.</p>
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<p>Regulation of antioxidant potential by vitamin A during oxidative stress.</p>
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