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Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease

INTRODUCTION: The black shank disease seriously affects the health of tobacco plants. Conventional control methods have limitations in terms of effectiveness or economic aspects and cause public health concerns. Thus, biological control methods have come into the field, and microorganisms play a key...

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Autores principales: Ma, Yi-Nan, Gu, Yi-Lin, Liu, Jing, Zhang, Yuqin, Wang, Xinwei, Xia, Zhenyuan, Wei, Hai-Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108594/
https://www.ncbi.nlm.nih.gov/pubmed/37077642
http://dx.doi.org/10.3389/fpls.2023.1152639
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author Ma, Yi-Nan
Gu, Yi-Lin
Liu, Jing
Zhang, Yuqin
Wang, Xinwei
Xia, Zhenyuan
Wei, Hai-Lei
author_facet Ma, Yi-Nan
Gu, Yi-Lin
Liu, Jing
Zhang, Yuqin
Wang, Xinwei
Xia, Zhenyuan
Wei, Hai-Lei
author_sort Ma, Yi-Nan
collection PubMed
description INTRODUCTION: The black shank disease seriously affects the health of tobacco plants. Conventional control methods have limitations in terms of effectiveness or economic aspects and cause public health concerns. Thus, biological control methods have come into the field, and microorganisms play a key role in suppressing tobacco black shank disease. METHODS: In this study, we examined the impact of soil microbial community on black shank disease basing on the structural difference of bacterial communities in rhizosphere soils. We used Illumina sequencing to compare the bacterial community diversity and structure in different rhizosphere soil samples in terms of healthy tobacco, tobacco showing typical black shank symptoms, and tobacco treated with the biocontrol agent, Bacillus velezensis S719. RESULTS: We found that Alphaproteobacteria in the biocontrol group, accounted for 27.2% of the ASVs, was the most abundant bacterial class among three groups. Heatmap and LEfSe analyses were done to determine the distinct bacterial genera in the three sample groups. For the healthy group, Pseudomonas was the most significant genus; for the diseased group, Stenotrophomonas exhibited the strongest enrichment trend, and Sphingomonas showed the highest linear discriminant analysis score, and was even more abundant than Bacillus; for the biocontrol group, Bacillus, and Gemmatimonas were the largely distributed genus. In addition, co-occurrence network analysis confirmed the abundance of taxa, and detected a recovery trend in the network topological parameters of the biocontrol group. Further functional prediction also provided a possible explanation for the bacterial community changes with related KEGG annotation terms. DISCUSSION: These findings will improve our knowledge of plant-microbe interactions and the application of biocontrol agents to improve plant fitness, and may contribute to the selection of biocontrol strains.
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spelling pubmed-101085942023-04-18 Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease Ma, Yi-Nan Gu, Yi-Lin Liu, Jing Zhang, Yuqin Wang, Xinwei Xia, Zhenyuan Wei, Hai-Lei Front Plant Sci Plant Science INTRODUCTION: The black shank disease seriously affects the health of tobacco plants. Conventional control methods have limitations in terms of effectiveness or economic aspects and cause public health concerns. Thus, biological control methods have come into the field, and microorganisms play a key role in suppressing tobacco black shank disease. METHODS: In this study, we examined the impact of soil microbial community on black shank disease basing on the structural difference of bacterial communities in rhizosphere soils. We used Illumina sequencing to compare the bacterial community diversity and structure in different rhizosphere soil samples in terms of healthy tobacco, tobacco showing typical black shank symptoms, and tobacco treated with the biocontrol agent, Bacillus velezensis S719. RESULTS: We found that Alphaproteobacteria in the biocontrol group, accounted for 27.2% of the ASVs, was the most abundant bacterial class among three groups. Heatmap and LEfSe analyses were done to determine the distinct bacterial genera in the three sample groups. For the healthy group, Pseudomonas was the most significant genus; for the diseased group, Stenotrophomonas exhibited the strongest enrichment trend, and Sphingomonas showed the highest linear discriminant analysis score, and was even more abundant than Bacillus; for the biocontrol group, Bacillus, and Gemmatimonas were the largely distributed genus. In addition, co-occurrence network analysis confirmed the abundance of taxa, and detected a recovery trend in the network topological parameters of the biocontrol group. Further functional prediction also provided a possible explanation for the bacterial community changes with related KEGG annotation terms. DISCUSSION: These findings will improve our knowledge of plant-microbe interactions and the application of biocontrol agents to improve plant fitness, and may contribute to the selection of biocontrol strains. Frontiers Media S.A. 2023-04-03 /pmc/articles/PMC10108594/ /pubmed/37077642 http://dx.doi.org/10.3389/fpls.2023.1152639 Text en Copyright © 2023 Ma, Gu, Liu, Zhang, Wang, Xia and Wei https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Ma, Yi-Nan
Gu, Yi-Lin
Liu, Jing
Zhang, Yuqin
Wang, Xinwei
Xia, Zhenyuan
Wei, Hai-Lei
Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease
title Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease
title_full Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease
title_fullStr Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease
title_full_unstemmed Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease
title_short Deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease
title_sort deciphering the rhizosphere bacteriome associated with biological control of tobacco black shank disease
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108594/
https://www.ncbi.nlm.nih.gov/pubmed/37077642
http://dx.doi.org/10.3389/fpls.2023.1152639
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