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Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities
It has been debated how different farming systems influence the composition of soil bacterial communities, which are crucial for maintaining soil health. In this research, we applied high-throughput pyrosequencing of V1 to V3 regions of bacterial 16S rRNA genes to gain further insight into how organ...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526490/ https://www.ncbi.nlm.nih.gov/pubmed/23284808 http://dx.doi.org/10.1371/journal.pone.0051897 |
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author | Li, Ru Khafipour, Ehsan Krause, Denis O. Entz, Martin H. de Kievit, Teresa R. Fernando, W. G. Dilantha |
author_facet | Li, Ru Khafipour, Ehsan Krause, Denis O. Entz, Martin H. de Kievit, Teresa R. Fernando, W. G. Dilantha |
author_sort | Li, Ru |
collection | PubMed |
description | It has been debated how different farming systems influence the composition of soil bacterial communities, which are crucial for maintaining soil health. In this research, we applied high-throughput pyrosequencing of V1 to V3 regions of bacterial 16S rRNA genes to gain further insight into how organic and conventional farming systems and crop rotation influence bulk soil bacterial communities. A 2×2 factorial experiment consisted of two agriculture management systems (organic versus conventional) and two crop rotations (flax-oat-fababean-wheat versus flax-alfalfa-alfalfa-wheat) was conducted at the Glenlea Long-Term Crop Rotation and Management Station, which is Canada’s oldest organic-conventional management study field. Results revealed that there is a significant difference in the composition of bacterial genera between organic and conventional management systems but crop rotation was not a discriminator factor. Organic farming was associated with higher relative abundance of Proteobacteria, while Actinobacteria and Chloroflexi were more abundant in conventional farming. The dominant genera including Blastococcus, Microlunatus, Pseudonocardia, Solirubrobacter, Brevundimonas, Pseudomonas, and Stenotrophomonas exhibited significant variation between the organic and conventional farming systems. The relative abundance of bacterial communities at the phylum and class level was correlated to soil pH rather than other edaphic properties. In addition, it was found that Proteobacteria and Actinobacteria were more sensitive to pH variation. |
format | Online Article Text |
id | pubmed-3526490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35264902013-01-02 Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities Li, Ru Khafipour, Ehsan Krause, Denis O. Entz, Martin H. de Kievit, Teresa R. Fernando, W. G. Dilantha PLoS One Research Article It has been debated how different farming systems influence the composition of soil bacterial communities, which are crucial for maintaining soil health. In this research, we applied high-throughput pyrosequencing of V1 to V3 regions of bacterial 16S rRNA genes to gain further insight into how organic and conventional farming systems and crop rotation influence bulk soil bacterial communities. A 2×2 factorial experiment consisted of two agriculture management systems (organic versus conventional) and two crop rotations (flax-oat-fababean-wheat versus flax-alfalfa-alfalfa-wheat) was conducted at the Glenlea Long-Term Crop Rotation and Management Station, which is Canada’s oldest organic-conventional management study field. Results revealed that there is a significant difference in the composition of bacterial genera between organic and conventional management systems but crop rotation was not a discriminator factor. Organic farming was associated with higher relative abundance of Proteobacteria, while Actinobacteria and Chloroflexi were more abundant in conventional farming. The dominant genera including Blastococcus, Microlunatus, Pseudonocardia, Solirubrobacter, Brevundimonas, Pseudomonas, and Stenotrophomonas exhibited significant variation between the organic and conventional farming systems. The relative abundance of bacterial communities at the phylum and class level was correlated to soil pH rather than other edaphic properties. In addition, it was found that Proteobacteria and Actinobacteria were more sensitive to pH variation. Public Library of Science 2012-12-19 /pmc/articles/PMC3526490/ /pubmed/23284808 http://dx.doi.org/10.1371/journal.pone.0051897 Text en © 2012 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Li, Ru Khafipour, Ehsan Krause, Denis O. Entz, Martin H. de Kievit, Teresa R. Fernando, W. G. Dilantha Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities |
title | Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities |
title_full | Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities |
title_fullStr | Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities |
title_full_unstemmed | Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities |
title_short | Pyrosequencing Reveals the Influence of Organic and Conventional Farming Systems on Bacterial Communities |
title_sort | pyrosequencing reveals the influence of organic and conventional farming systems on bacterial communities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526490/ https://www.ncbi.nlm.nih.gov/pubmed/23284808 http://dx.doi.org/10.1371/journal.pone.0051897 |
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