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Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil

Bacteria play a key role in phosphate solubilization, but related genome-centric research on agricultural microbiomes is scarce. Here, we reconstructed 472 metagenome-assembled genomes (MAGs) covering agricultural soils from six long-term field trials across China. A total of 79 MAGs contained gcd e...

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Autores principales: Wu, Xingjie, Cui, Zhenling, Peng, Jingjing, Zhang, Fusuo, Liesack, Werner
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723772/
https://www.ncbi.nlm.nih.gov/pubmed/37938650
http://dx.doi.org/10.1038/s43705-022-00100-z
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author Wu, Xingjie
Cui, Zhenling
Peng, Jingjing
Zhang, Fusuo
Liesack, Werner
author_facet Wu, Xingjie
Cui, Zhenling
Peng, Jingjing
Zhang, Fusuo
Liesack, Werner
author_sort Wu, Xingjie
collection PubMed
description Bacteria play a key role in phosphate solubilization, but related genome-centric research on agricultural microbiomes is scarce. Here, we reconstructed 472 metagenome-assembled genomes (MAGs) covering agricultural soils from six long-term field trials across China. A total of 79 MAGs contained gcd encoding quinoprotein glucose dehydrogenase (GCD), which is the key biomarker for phosphate solubilization. Our findings showed that all GCD-MAGs represent potentially novel species, with gcd copy numbers varying from 1 to 10 per genome. Large genome size, a high ratio of glycosyl hydrolase genes, and increased capacity for carbohydrate utilization were specific traits of GCD-MAGs. Notably, the gcd copy number showed a significant and positive correlation with genome size. Generated using a machine learning approach, our findings were validated in a dataset of 692 genotypes covering the 18 bacterial families to which the 79 GCD-MAGs belong. Our results improve the knowledge of both the diversity and the genetic composition of phosphate-solubilizing bacteria. In particular, they reveal a genomic link between phosphate solubilization capacity and increased potential for carbohydrate metabolism, which may accelerate targeted engineering and improve management practices for sustainable agriculture.
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spelling pubmed-97237722023-01-04 Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil Wu, Xingjie Cui, Zhenling Peng, Jingjing Zhang, Fusuo Liesack, Werner ISME Commun Brief Communication Bacteria play a key role in phosphate solubilization, but related genome-centric research on agricultural microbiomes is scarce. Here, we reconstructed 472 metagenome-assembled genomes (MAGs) covering agricultural soils from six long-term field trials across China. A total of 79 MAGs contained gcd encoding quinoprotein glucose dehydrogenase (GCD), which is the key biomarker for phosphate solubilization. Our findings showed that all GCD-MAGs represent potentially novel species, with gcd copy numbers varying from 1 to 10 per genome. Large genome size, a high ratio of glycosyl hydrolase genes, and increased capacity for carbohydrate utilization were specific traits of GCD-MAGs. Notably, the gcd copy number showed a significant and positive correlation with genome size. Generated using a machine learning approach, our findings were validated in a dataset of 692 genotypes covering the 18 bacterial families to which the 79 GCD-MAGs belong. Our results improve the knowledge of both the diversity and the genetic composition of phosphate-solubilizing bacteria. In particular, they reveal a genomic link between phosphate solubilization capacity and increased potential for carbohydrate metabolism, which may accelerate targeted engineering and improve management practices for sustainable agriculture. Nature Publishing Group UK 2022-02-16 /pmc/articles/PMC9723772/ /pubmed/37938650 http://dx.doi.org/10.1038/s43705-022-00100-z Text en © The Author(s) 2022 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Brief Communication
Wu, Xingjie
Cui, Zhenling
Peng, Jingjing
Zhang, Fusuo
Liesack, Werner
Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil
title Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil
title_full Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil
title_fullStr Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil
title_full_unstemmed Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil
title_short Genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil
title_sort genome-resolved metagenomics identifies the particular genetic traits of phosphate-solubilizing bacteria in agricultural soil
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723772/
https://www.ncbi.nlm.nih.gov/pubmed/37938650
http://dx.doi.org/10.1038/s43705-022-00100-z
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