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Exploring links between pH and bacterial community composition in soils from the Craibstone Experimental Farm
Journal article   Open access   Peer reviewed

Exploring links between pH and bacterial community composition in soils from the Craibstone Experimental Farm

Andrea Bartram, Xingpeng Jiang, Michael D.J. Lynch, Andre Masella, Graeme W. Nicol, Jonathan Dushoff, Josh Neufeld and Xuezhi Jiang
FEMS microbiology ecology, v 87(2), pp 403-415
Feb 2014
PMID: 24117982
url
https://doi.org/10.1111/1574-6941.12231View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open

Abstract

Engineering Sciences Environmental Sciences
Soil pH is an important determinant of microbial community composition and diversity, yet few studies have characterized the specific effects of pH on individual bacterial taxa within bacterial communities, both abundant and rare. We collected composite soil samples over 2 years from an experimentally maintained pH gradient ranging from 4.5 to 7.5 from the Craibstone Experimental Farm (Craibstone, Scotland). Extracted nucleic acids were characterized by bacterial and group-specific denaturing gradient gel electrophoresis and next-generation sequencing of bacterial 16S rRNA genes. Both methods demonstrated comparable and reproducible shifts within higher taxonomic bacterial groups (e.g. Acidobacteria,Alphaproteobacteria,Verrucomicrobia, and Gammaproteobacteria) across the pH gradient. In addition, we used non-negative matrix factorization (NMF) for the first time on 16S rRNA gene data to identify positively interacting (i.e. co-occurring) operational taxonomic unit (OTU) clusters (i.e. ‘components’), with abundances that correlated strongly with pH, and sample year to a lesser extent. All OTUs identified by NMF were visualized within principle coordinate analyses of UNIFRAC distances and subjected to taxonomic network analysis (SSUnique), which plotted OTU abundance and similarity against established taxonomies. Most pH-dependent OTUs identified here would not have been identified by previous methodologies for microbial community profiling and were unrelated to known lineages.

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141 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#14 Life Below Water
#15 Life on Land
#13 Climate Action
#2 Zero Hunger

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Microbiology
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