| Literature DB >> 28961955 |
Theresa A McHugh1,2, Zacchaeus Compson1,3, Natasja van Gestel1,4, Michaela Hayer1, Lisa Ballard5, Matthew Haverty6, Jeffrey Hines7, Nick Irvine7, David Krassner8, Ted Lyons8, Emily Julien Musta9, Michele Schiff10, Patricia Zint10, Egbert Schwartz1,11.
Abstract
Aridisols are the dominant soil type in drylands, which occupy one-third of Earth's terrestrial surface. We examined controls on biogeographical patterns of Aridisol prokaryotic (bacterial and archaeal) communities at a regional scale by comparing communities from 100 Aridisols throughout the southwestern United States using high-throughput sequencing of the 16S rRNA gene. We found that microbial communities differed among global biomes and deserts of the Southwest. Differences among biomes were driven by differences in taxonomic identities, whereas differences among deserts of the Southwest were driven by differences in relative sequence abundance. Desert communities were dominated by Actinobacteria, Proteobacteria and Crenarchaeota, supporting the notion of a core set of abundant taxa in desert soils. Our findings contrast with studies showing little taxonomic overlap at the OTU level (97% sequence similarity) across large spatial scales, as we found ∼90% of taxa in at least two of the three deserts. Geographic distance structured prokaryotic communities indirectly through the influence of climate and soil properties. Structural equation modeling suggests that climate exerts a stronger influence than soil properties in shaping the composition of Aridisol microbial communities, with annual heat moisture index (an aridity metric) being the strongest climate driver. Annual heat moisture index was associated with decreased microbial diversity and richness. If the Desert Southwest becomes hotter and drier as predicted, these findings suggest that prokaryotic diversity and richness in Aridisols will decline. © FEMS 2017. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.Keywords: 16S rRNA gene; Aridisols; biodiversity; biogeography; climate; structural equation model
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Year: 2017 PMID: 28961955 DOI: 10.1093/femsec/fix116
Source DB: PubMed Journal: FEMS Microbiol Ecol ISSN: 0168-6496 Impact factor: 4.194