Cargando…
Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for
Agricultural land is typically managed based on visible plant life at the expense of the belowground majority. However, microorganisms mediate processes sustaining plant life and the soil environment. To understand the role of microbes we first must understand what controls soil microbial community...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368985/ https://www.ncbi.nlm.nih.gov/pubmed/28349950 http://dx.doi.org/10.1038/srep45369 |
_version_ | 1782518038587768832 |
---|---|
author | Kaminsky, Rachel Trouche, Blandine Morales, Sergio E. |
author_facet | Kaminsky, Rachel Trouche, Blandine Morales, Sergio E. |
author_sort | Kaminsky, Rachel |
collection | PubMed |
description | Agricultural land is typically managed based on visible plant life at the expense of the belowground majority. However, microorganisms mediate processes sustaining plant life and the soil environment. To understand the role of microbes we first must understand what controls soil microbial community assembly. We assessed the distribution and composition of prokaryotic communities from soils representing four geographic regions on the South Island of New Zealand. These soils are under three different uses (dairy, sheep and beef, and high country farming) and are representative of major soil classification groups (brown, pallic, gley and recent). We hypothesized that pH would account for major community patterns based on 16S profiles, but that land use and location would be secondary modifiers. Community diversity and structure was linked to pH, coinciding with land use. Soil classification correlated with microbial community structure and evenness, but not richness in high country and sheep and beef communities. The impact of land use and pH remained significant at the regional scale, but soil classification provided support for community variability not explained by either of those factors. These results suggest that several edaphic properties must be examined at multiple spatial scales to robustly examine soil prokaryotic communities. |
format | Online Article Text |
id | pubmed-5368985 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53689852017-03-30 Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for Kaminsky, Rachel Trouche, Blandine Morales, Sergio E. Sci Rep Article Agricultural land is typically managed based on visible plant life at the expense of the belowground majority. However, microorganisms mediate processes sustaining plant life and the soil environment. To understand the role of microbes we first must understand what controls soil microbial community assembly. We assessed the distribution and composition of prokaryotic communities from soils representing four geographic regions on the South Island of New Zealand. These soils are under three different uses (dairy, sheep and beef, and high country farming) and are representative of major soil classification groups (brown, pallic, gley and recent). We hypothesized that pH would account for major community patterns based on 16S profiles, but that land use and location would be secondary modifiers. Community diversity and structure was linked to pH, coinciding with land use. Soil classification correlated with microbial community structure and evenness, but not richness in high country and sheep and beef communities. The impact of land use and pH remained significant at the regional scale, but soil classification provided support for community variability not explained by either of those factors. These results suggest that several edaphic properties must be examined at multiple spatial scales to robustly examine soil prokaryotic communities. Nature Publishing Group 2017-03-28 /pmc/articles/PMC5368985/ /pubmed/28349950 http://dx.doi.org/10.1038/srep45369 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Kaminsky, Rachel Trouche, Blandine Morales, Sergio E. Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for |
title | Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for |
title_full | Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for |
title_fullStr | Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for |
title_full_unstemmed | Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for |
title_short | Soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once pH is accounted for |
title_sort | soil classification predicts differences in prokaryotic communities across a range of geographically distant soils once ph is accounted for |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368985/ https://www.ncbi.nlm.nih.gov/pubmed/28349950 http://dx.doi.org/10.1038/srep45369 |
work_keys_str_mv | AT kaminskyrachel soilclassificationpredictsdifferencesinprokaryoticcommunitiesacrossarangeofgeographicallydistantsoilsoncephisaccountedfor AT troucheblandine soilclassificationpredictsdifferencesinprokaryoticcommunitiesacrossarangeofgeographicallydistantsoilsoncephisaccountedfor AT moralessergioe soilclassificationpredictsdifferencesinprokaryoticcommunitiesacrossarangeofgeographicallydistantsoilsoncephisaccountedfor |