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Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens

Biocontrol agents are safe and effective methods for controlling plant disease pathogens, such as Fusarium solani, which causes dry wilt, and Pectobacterium spp., responsible for potato soft rot disease. Discovering agents that can effectively control both fungal and bacterial pathogens in potatoes...

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Autores principales: Lagzian, Arezoo, Riseh, Roohallah Saberi, Sarikhan, Sajjad, Ghorbani, Abozar, Khodaygan, Pejman, Borriss, Rainer, Guzzi, Pietro Hiram, Veltri, Pierangelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625545/
https://www.ncbi.nlm.nih.gov/pubmed/37925555
http://dx.doi.org/10.1038/s41598-023-46672-1
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author Lagzian, Arezoo
Riseh, Roohallah Saberi
Sarikhan, Sajjad
Ghorbani, Abozar
Khodaygan, Pejman
Borriss, Rainer
Guzzi, Pietro Hiram
Veltri, Pierangelo
author_facet Lagzian, Arezoo
Riseh, Roohallah Saberi
Sarikhan, Sajjad
Ghorbani, Abozar
Khodaygan, Pejman
Borriss, Rainer
Guzzi, Pietro Hiram
Veltri, Pierangelo
author_sort Lagzian, Arezoo
collection PubMed
description Biocontrol agents are safe and effective methods for controlling plant disease pathogens, such as Fusarium solani, which causes dry wilt, and Pectobacterium spp., responsible for potato soft rot disease. Discovering agents that can effectively control both fungal and bacterial pathogens in potatoes has always presented a challenge. Biological controls were investigated using 500 bacterial strains isolated from rhizospheric microbial communities, along with two promising biocontrol strains: Pseudomonas (T17-4 and VUPf5). Bacillus velezensis (Q12 and US1) and Pseudomonas chlororaphis VUPf5 exhibited the highest inhibition of fungal growth and pathogenicity in both laboratory (48%, 48%, 38%) and greenhouse (100%, 85%, 90%) settings. Q12 demonstrated better control against bacterial pathogens in vivo (approximately 50%). Whole-genome sequencing of Q12 and US1 revealed a genome size of approximately 4.1 Mb. Q12 had 4413 gene IDs and 4300 coding sequences, while US1 had 4369 gene IDs and 4255 coding sequences. Q12 exhibited a higher number of genes classified under functional subcategories related to stress response, cell wall, capsule, levansucrase synthesis, and polysaccharide metabolism. Both Q12 and US1 contained eleven secondary metabolite gene clusters as identified by the antiSMASH and RAST servers. Notably, Q12 possessed the antibacterial locillomycin and iturin A gene clusters, which were absent in US1. This genetic information suggests that Q12 may have a more pronounced control over bacterial pathogens compared to US1. Metabolic profiling of the superior strains, as determined by LC/MS/MS, validated our genetic findings. The investigated strains produced compounds such as iturin A, bacillomycin D, surfactin, fengycin, phenazine derivatives, etc. These compounds reduced spore production and caused deformation of the hyphae in F. solani. In contrast, B. velezensis UR1, which lacked the production of surfactin, fengycin, and iturin, did not affect these structures and failed to inhibit the growth of any pathogens. Our findings suggest that locillomycin and iturin A may contribute to the enhanced control of bacterial pectolytic rot by Q12.
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spelling pubmed-106255452023-11-06 Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens Lagzian, Arezoo Riseh, Roohallah Saberi Sarikhan, Sajjad Ghorbani, Abozar Khodaygan, Pejman Borriss, Rainer Guzzi, Pietro Hiram Veltri, Pierangelo Sci Rep Article Biocontrol agents are safe and effective methods for controlling plant disease pathogens, such as Fusarium solani, which causes dry wilt, and Pectobacterium spp., responsible for potato soft rot disease. Discovering agents that can effectively control both fungal and bacterial pathogens in potatoes has always presented a challenge. Biological controls were investigated using 500 bacterial strains isolated from rhizospheric microbial communities, along with two promising biocontrol strains: Pseudomonas (T17-4 and VUPf5). Bacillus velezensis (Q12 and US1) and Pseudomonas chlororaphis VUPf5 exhibited the highest inhibition of fungal growth and pathogenicity in both laboratory (48%, 48%, 38%) and greenhouse (100%, 85%, 90%) settings. Q12 demonstrated better control against bacterial pathogens in vivo (approximately 50%). Whole-genome sequencing of Q12 and US1 revealed a genome size of approximately 4.1 Mb. Q12 had 4413 gene IDs and 4300 coding sequences, while US1 had 4369 gene IDs and 4255 coding sequences. Q12 exhibited a higher number of genes classified under functional subcategories related to stress response, cell wall, capsule, levansucrase synthesis, and polysaccharide metabolism. Both Q12 and US1 contained eleven secondary metabolite gene clusters as identified by the antiSMASH and RAST servers. Notably, Q12 possessed the antibacterial locillomycin and iturin A gene clusters, which were absent in US1. This genetic information suggests that Q12 may have a more pronounced control over bacterial pathogens compared to US1. Metabolic profiling of the superior strains, as determined by LC/MS/MS, validated our genetic findings. The investigated strains produced compounds such as iturin A, bacillomycin D, surfactin, fengycin, phenazine derivatives, etc. These compounds reduced spore production and caused deformation of the hyphae in F. solani. In contrast, B. velezensis UR1, which lacked the production of surfactin, fengycin, and iturin, did not affect these structures and failed to inhibit the growth of any pathogens. Our findings suggest that locillomycin and iturin A may contribute to the enhanced control of bacterial pectolytic rot by Q12. Nature Publishing Group UK 2023-11-04 /pmc/articles/PMC10625545/ /pubmed/37925555 http://dx.doi.org/10.1038/s41598-023-46672-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lagzian, Arezoo
Riseh, Roohallah Saberi
Sarikhan, Sajjad
Ghorbani, Abozar
Khodaygan, Pejman
Borriss, Rainer
Guzzi, Pietro Hiram
Veltri, Pierangelo
Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens
title Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens
title_full Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens
title_fullStr Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens
title_full_unstemmed Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens
title_short Genome mining conformance to metabolite profile of Bacillus strains to control potato pathogens
title_sort genome mining conformance to metabolite profile of bacillus strains to control potato pathogens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625545/
https://www.ncbi.nlm.nih.gov/pubmed/37925555
http://dx.doi.org/10.1038/s41598-023-46672-1
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