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Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora

Understanding plant-microbe interactions with the possibility to modulate the plant’s microbiome is essential to design new strategies for a more productive and sustainable agriculture and to maintain natural ecosystems. Therefore, a key question is how to design bacterial consortia that will yield...

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Autores principales: Riesco, Raúl, Ortúzar, Maite, Fernández-Ábalos, José Manuel, Trujillo, Martha E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990736/
https://www.ncbi.nlm.nih.gov/pubmed/35401599
http://dx.doi.org/10.3389/fpls.2022.872356
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author Riesco, Raúl
Ortúzar, Maite
Fernández-Ábalos, José Manuel
Trujillo, Martha E.
author_facet Riesco, Raúl
Ortúzar, Maite
Fernández-Ábalos, José Manuel
Trujillo, Martha E.
author_sort Riesco, Raúl
collection PubMed
description Understanding plant-microbe interactions with the possibility to modulate the plant’s microbiome is essential to design new strategies for a more productive and sustainable agriculture and to maintain natural ecosystems. Therefore, a key question is how to design bacterial consortia that will yield the desired host phenotype. This work was designed to identify the potential genomic features involved in the interaction between Micromonospora and known host plants. Seventy-four Micromonospora genomes representing diverse environments were used to generate a database of all potentially plant-related genes using a novel bioinformatic pipeline that combined screening for microbial-plant related features and comparison with available plant host proteomes. The strains were recovered in three clusters, highly correlated with several environments: plant-associated, soil/rhizosphere, and marine/mangrove. Irrespective of their isolation source, most strains shared genes coding for commonly screened plant growth promotion features, while differences in plant colonization related traits were observed. When Arabidopsis thaliana plants were inoculated with representative Micromonospora strains selected from the three environments, significant differences were in found in the corresponding plant phenotypes. Our results indicate that the identified genomic signatures help select those strains with the highest probability to successfully colonize the plant and contribute to its wellbeing. These results also suggest that plant growth promotion markers alone are not good indicators for the selection of beneficial bacteria to improve crop production and the recovery of ecosystems.
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spelling pubmed-89907362022-04-09 Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora Riesco, Raúl Ortúzar, Maite Fernández-Ábalos, José Manuel Trujillo, Martha E. Front Plant Sci Plant Science Understanding plant-microbe interactions with the possibility to modulate the plant’s microbiome is essential to design new strategies for a more productive and sustainable agriculture and to maintain natural ecosystems. Therefore, a key question is how to design bacterial consortia that will yield the desired host phenotype. This work was designed to identify the potential genomic features involved in the interaction between Micromonospora and known host plants. Seventy-four Micromonospora genomes representing diverse environments were used to generate a database of all potentially plant-related genes using a novel bioinformatic pipeline that combined screening for microbial-plant related features and comparison with available plant host proteomes. The strains were recovered in three clusters, highly correlated with several environments: plant-associated, soil/rhizosphere, and marine/mangrove. Irrespective of their isolation source, most strains shared genes coding for commonly screened plant growth promotion features, while differences in plant colonization related traits were observed. When Arabidopsis thaliana plants were inoculated with representative Micromonospora strains selected from the three environments, significant differences were in found in the corresponding plant phenotypes. Our results indicate that the identified genomic signatures help select those strains with the highest probability to successfully colonize the plant and contribute to its wellbeing. These results also suggest that plant growth promotion markers alone are not good indicators for the selection of beneficial bacteria to improve crop production and the recovery of ecosystems. Frontiers Media S.A. 2022-03-25 /pmc/articles/PMC8990736/ /pubmed/35401599 http://dx.doi.org/10.3389/fpls.2022.872356 Text en Copyright © 2022 Riesco, Ortúzar, Fernández-Ábalos and Trujillo. 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
Riesco, Raúl
Ortúzar, Maite
Fernández-Ábalos, José Manuel
Trujillo, Martha E.
Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora
title Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora
title_full Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora
title_fullStr Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora
title_full_unstemmed Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora
title_short Deciphering Genomes: Genetic Signatures of Plant-Associated Micromonospora
title_sort deciphering genomes: genetic signatures of plant-associated micromonospora
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8990736/
https://www.ncbi.nlm.nih.gov/pubmed/35401599
http://dx.doi.org/10.3389/fpls.2022.872356
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