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Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes
The effective functioning of the rhizosphere microbiome significantly contributes to plant development, disease resistance, and agricultural sustainability. Hence, it is a major predictor of plant health. This study evaluated the microbial diversities and functions associated with healthy and diseas...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584349/ https://www.ncbi.nlm.nih.gov/pubmed/36066249 http://dx.doi.org/10.1128/mra.00498-22 |
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author | Babalola, Olubukola Oluranti Dlamini, Siphiwe Prudence Akanmu, Akinlolu Olalekan |
author_facet | Babalola, Olubukola Oluranti Dlamini, Siphiwe Prudence Akanmu, Akinlolu Olalekan |
author_sort | Babalola, Olubukola Oluranti |
collection | PubMed |
description | The effective functioning of the rhizosphere microbiome significantly contributes to plant development, disease resistance, and agricultural sustainability. Hence, it is a major predictor of plant health. This study evaluated the microbial diversities and functions associated with healthy and diseased maize rhizosphere at selected farms in North West Province, South Africa. |
format | Online Article Text |
id | pubmed-9584349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-95843492022-10-21 Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes Babalola, Olubukola Oluranti Dlamini, Siphiwe Prudence Akanmu, Akinlolu Olalekan Microbiol Resour Announc Omics Data Sets The effective functioning of the rhizosphere microbiome significantly contributes to plant development, disease resistance, and agricultural sustainability. Hence, it is a major predictor of plant health. This study evaluated the microbial diversities and functions associated with healthy and diseased maize rhizosphere at selected farms in North West Province, South Africa. American Society for Microbiology 2022-09-06 /pmc/articles/PMC9584349/ /pubmed/36066249 http://dx.doi.org/10.1128/mra.00498-22 Text en Copyright © 2022 Babalola et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Omics Data Sets Babalola, Olubukola Oluranti Dlamini, Siphiwe Prudence Akanmu, Akinlolu Olalekan Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes |
title | Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes |
title_full | Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes |
title_fullStr | Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes |
title_full_unstemmed | Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes |
title_short | Shotgun Metagenomic Survey of the Diseased and Healthy Maize (Zea mays L.) Rhizobiomes |
title_sort | shotgun metagenomic survey of the diseased and healthy maize (zea mays l.) rhizobiomes |
topic | Omics Data Sets |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584349/ https://www.ncbi.nlm.nih.gov/pubmed/36066249 http://dx.doi.org/10.1128/mra.00498-22 |
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