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      An Insight into the Endophytic Bacterial Community of Tomato after Spray Application of Propiconazole and Bacillus subtilis Strain NBRI-W9

      research-article
      a , b , a , b , a , b , a , b , a , b ,
      Microbiology Spectrum
      American Society for Microbiology
      biofungicide, Bacillus subtilis, endophyte, propiconazole, tomato

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          ABSTRACT

          Propiconazole (PCZ) is a commonly sprayed fungicide against fungal pathogens. Being systemic in action, it reaches subcellular layers and impacts the endophytes. Although PCZ is a fungicide, it is hypothesized to exert an inhibitory effect on the bacterial endophytes. Therefore, this study aims to get an insight into the perturbations caused by the systemically acting antifungal agents PCZ and Bacillus subtilis (W9) and the consequences thereof. The current study compared the 16S rRNA microbial diversity, abundance, and functions of the endophytic bacterial community of tomato in response to PCZ, W9, and PCZ+W9 application. The implications of these treatments on the development of bacterial speck disease by Pseudomonas syringae were also studied. The culturable endophyte population fluctuated after (bio)fungicide application and stabilized by 72 h. At 72 h, the endophyte population was ~3.6 × 10 3 CFUg −1 in control and ~3.6 × 10 4 in W9, ~3.0 × 10 2 in PCZ, and ~5.3 × 10 3 in PCZ+W9 treatment. A bacterial community analysis showed a higher relative abundance of Bacillales, Burkholderiales, Rhizobiales, Pseudomonadales, and Actinomycetales in the W9 treatment compared with that in the PCZ treatment and control. Phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) analysis showed enhanced metabolic pathways related to secretion, stress, chemotaxis, and mineral nutrition in the W9 treatment. Disease severity was greater in PCZ than that in the W9 treatment. Disease severity on tomato plants showed strong negative correlations with Sphingomonas (r = −0.860) and Janthinobacterium (r = −0.810), indicating that the natural biocontrol communities are agents of plant resistance to diseases. Outcomes show that systemic chemicals are a potential threat to the nontarget endophytes and that plants became susceptible to disease on endophyte decline; this issue could be overcome by the application of microbial inoculums.

          IMPORTANCE Endophytes are plant inhabitants acting as its extended genome. The present study highlights the importance of maintaining plant endophytes for sustainable disease resistance in plants. The impact of chemical fungicides and biofungicides was shown on tomato endophytes, in addition to their implications on plant susceptibility to bacterial speck disease. The observations point toward the deleterious effects of systemic pesticide application on endophyte niches that disrupt their diversity and functions compromising plant immunity.

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          Most cited references69

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          QIIME allows analysis of high-throughput community sequencing data.

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            ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

            After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
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              Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences

              Profiling phylogenetic marker genes, such as the 16S rRNA gene, is a key tool for studies of microbial communities but does not provide direct evidence of a community’s functional capabilities. Here we describe PICRUSt (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States), a computational approach to predict the functional composition of a metagenome using marker gene data and a database of reference genomes. PICRUSt uses an extended ancestral-state reconstruction algorithm to predict which gene families are present and then combines gene families to estimate the composite metagenome. Using 16S information, PICRUSt recaptures key findings from the Human Microbiome Project and accurately predicts the abundance of gene families in host-associated and environmental communities, with quantifiable uncertainty. Our results demonstrate that phylogeny and function are sufficiently linked that this ‘predictive metagenomic’ approach should provide useful insights into the thousands of uncultivated microbial communities for which only marker gene surveys are currently available.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Microbiol Spectr
                Microbiol Spectr
                spectrum
                Microbiology Spectrum
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2165-0497
                6 September 2022
                Sep-Oct 2022
                6 September 2022
                : 10
                : 5
                : e01186-22
                Affiliations
                [a ] CSIR-National Botanical Research Institute, Lucknow, Uttar Pradesh, India
                [b ] Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India
                University of Minnesota
                Author notes

                The authors declare no conflict of interest.

                Author information
                https://orcid.org/0000-0001-9524-1904
                https://orcid.org/0000-0003-2585-3408
                https://orcid.org/0000-0002-7400-8545
                Article
                01186-22 spectrum.01186-22
                10.1128/spectrum.01186-22
                9602357
                36066253
                8fd9eba0-d439-4828-babd-457b91fd301e
                Copyright © 2022 Yadav et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 14 June 2022
                : 4 August 2022
                Page count
                supplementary-material: 0, Figures: 7, Tables: 3, Equations: 0, References: 71, Pages: 16, Words: 10724
                Funding
                Funded by: Council of Scientific and Industrial Research, India (CSIR), FundRef https://doi.org/10.13039/501100001412;
                Award ID: MLP048 OLP109
                Award Recipient :
                Funded by: Council of Scientific and Industrial Research, India (CSIR), FundRef https://doi.org/10.13039/501100001412;
                Award ID: UGC
                Award Recipient :
                Funded by: Council of Scientific and Industrial Research, India (CSIR), FundRef https://doi.org/10.13039/501100001412;
                Award ID: UGC
                Award Recipient :
                Funded by: Council of Scientific and Industrial Research, India (CSIR), FundRef https://doi.org/10.13039/501100001412;
                Award ID: CSIR
                Award Recipient :
                Funded by: Council of Scientific and Industrial Research, India (CSIR), FundRef https://doi.org/10.13039/501100001412;
                Award ID: CSIR
                Award Recipient :
                Categories
                Research Article
                environmental-microbiology, Environmental Microbiology
                Custom metadata
                September/October 2022

                biofungicide,bacillus subtilis,endophyte,propiconazole,tomato

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