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Bacillus amyloliquefaciens Induces Resistance in Tobacco Against Powdery Mildew Pathogen Erysiphe cichoracearum

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Abstract

The beneficial interactions between plant and endophytes can enormously improve plant resistance against phytopathogens. Endophytic bacteria are well known for their plant propitious attributes. A tobacco seed endophyte Bacillus amyloliquefaciens YN201732 can enhance the ability of tobacco plants to resist powdery mildew, but the mechanisms operating at molecular level are highly elusive. In this study, transcriptome of YN201732-treated and non-treated tobacco leaves were compared under pathogen challenge and control conditions. Overall, analysis elucidates that DEGs related to biosynthesis of secondary metabolites, plant hormone signal transduction, phenylpropanoid biosynthesis, flavonoid biosynthesis, metabolic pathways, immune system process, and disease resistance-related biological functions were enriched in endophyte-treated diseased plant. The key genes of JA/ET pathway were significantly upregulated in tobacco plant after endophyte YN201732 treatment, which indicates the activation of JA/ET-mediated disease resistance against powdery mildew. Additionally, chitinase gene and synthesis of lignin and flavonoids were increased in diseased plant upon endophyte treatment which could help plant to resist pathogen infection. In conclusion, the study provides the molecular dissection of B. amyloliquefaciens YN201732-induced resistance in tobacco plant against powdery mildew and lays a theoretical foundation of employing endophytic bacteria against plant diseases.

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Data Availability

All the data are present inside manuscript file. Raw sequencing data have been deposited to the Sequence Read Archive (SRA) under BioProject PRJNA825699.

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Funding

This study was financially supported by the Research and Development Foundation of Yunnan Tobacco Company, China (Grant No. 2019530000241008).

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Author notes

  1. Rong Jiao and Ayesha Ahmed have contributed equally to this work.

Authors and Affiliations

  1. Faculty of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, 650201, Yunnan, China

    Rong Jiao, Yixin Wu & Yueqiu He

  2. Science and Technology Division, Yuxi Normal University, Yuxi, 653100, Yunnan, China

    Rong Jiao & Jing Zhao

  3. State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China

    Ayesha Ahmed, Pengfei He, Shahzad Munir, Yixin Wu, Pengbo He & Yueqiu He

  4. Hongta Tobacco (Group) Co., Ltd, Yuxi, 653100, Yunnan, China

    Junwei Wang

  5. Qujing Tobacco Co., Ltd, Qujing, 655000, Yunnan, China

    Ge Wang, Huanwen Yang & Yongzhan Cai

  6. Yunnan Academy of Tobacco Agriculture Science, Yuxi, 653100, Yunnan, China

    Canhua Lu

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  1. Rong Jiao
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Contributions

RJ, AA, PH, and SM contributed to conceptualization; RJ contributed to data curation; AA contributed to formal analysis; YC and YH contributed to funding acquisition; RJ, PH, and YC contributed to investigation; RJ, YW, JW, PH, GW, HY, JZ, and CL contributed to methodology; YW and YH contributed to project administration; , YW, CL, and YC contributed to resources; RJ, AA, and SM contributed to software; RJ, AA, and PH contributed to validation; YC and YH contributed to visualization; RJ and AA contributed to writing–original draft; and AA, SM, and YH contributed to writing–review & editing.

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Correspondence to Yongzhan Cai or Yueqiu He.

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344_2023_10922_MOESM1_ESM.docx

Supplementary file1 (DOCX 2499 KB)—Figure S1: Validation of RNA-seq results by qRT-PCR analysis. In total, 12 genes were randomly selected regulated in all treatment groups for real-time PCR analysis and alcohol dehydrogenase (ADH2) gene was used as internal reference. All the values are mean of three biological replicates; Table S1: Sequences of primers used in qRT-PCR for RNA-seq data validation

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Jiao, R., Ahmed, A., He, P. et al. Bacillus amyloliquefaciens Induces Resistance in Tobacco Against Powdery Mildew Pathogen Erysiphe cichoracearum. J Plant Growth Regul 42, 6636–6651 (2023). https://doi.org/10.1007/s00344-023-10922-3

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