Abstract
Trichoderma longibrachiatum SMF2 is an important biocontrol strain isolated by our group that can promote plant growth and induce plant disease resistance. To further study its biocontrol mechanism, the effector proteins secreted by T. longibrachiatum SMF2 were analyzed through bioinformatics and transcriptome sequencing. Overall, 478 secretory proteins produced by T. longibrachiatum were identified, of which 272 were upregulated after treatment with plants. Functional annotation showed that 36 secretory proteins were homologous with different groups of effectors from pathogenic microorganisms. Moreover, the quantitative PCR results of six putative effector proteins were consistent with those of transcriptome sequencing. Taken together, these findings indicate that the secretory proteins secreted by T. longibrachiatum SMF2 may act as effectors to facilitate its own growth and colonization or to induce plant immunity response.
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Data Availability
The geneom of T. longibrachiatum SMF2 were stored in NCBI (KB290581.1); The predicted secreted proteins are stored in the attachment table S1; The transcriptome datasets generated by Shanhai Origingene Bio-phaem Technology Co.Ltd. during the current study were stored in NCBI(https://www.ncbi.nlm.nih.gov/sra/PRJNA883996).
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Acknowledgements
We thank Prof. Zhang Yuzhong in Shandong University for providing the strains and the genome sequence of T. longibrachiatum SMF2.The library preparations were sequenced on an Illumina Novaseq 6000 platform and paired-end reads were generated and bioinformatics analysis (Shanhai Origingene Bio-phaem Technology Co.Ltd., China) We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.
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This work was supported by Nature Science Fund of Shandong Province (ZR2020MC125, ZR2013CM006); Key R & D plan of Shandong Province (2019GNC106018); and Shandong Provincial Key Laboratory of Agricultural Microbiology Open Fund (SDKL2017015).
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Conceived of or designed study: PBZ, AZR; Performed research: LJW, YSS, XC, NS; Analyzed data: JLZ, XLL, MJG; Contributed new methods or models: SLS; Writing: PBZ, AZR; Review and editing: PBZ, SLS; Funding acquisition: PBZ, AZR. All authors read and approved the manuscript.
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This experiment was independently completed by our team in Liaocheng University with the support of local government funding (ZR2020MC125, ZR2013CM006, 2019GNC106018 and SDKL2017015), Dr. Shulei Sun from University of California San Diego participated in the work of bioinformatics analysis and paper revision. All authors have read the enclosed version of the manuscript, and all of us make sure the author group, the corresponding author and the order of authors are all correct at submission. All the authors listed have approved the manuscript and have no potential conflicts of interest, also we make sure that there is no conflict of interest with others.
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Zhang, J., Wang, L., Ren, A. et al. Prediction of Effector Proteins from Trichoderma longibrachiatum Through Transcriptome Sequencing. Curr Microbiol 80, 259 (2023). https://doi.org/10.1007/s00284-023-03296-y
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DOI: https://doi.org/10.1007/s00284-023-03296-y