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Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem

How soil microbial communities contrast with respect to taxonomic and functional composition within and between ecosystems remains an unresolved question that is central to predicting how global anthropogenic change will affect soil functioning and services. In particular, it remains unclear how sma...

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Autores principales: Johnston, Eric R., Rodriguez-R, Luis M., Luo, Chengwei, Yuan, Mengting M., Wu, Liyou, He, Zhili, Schuur, Edward A. G., Luo, Yiqi, Tiedje, James M., Zhou, Jizhong, Konstantinidis, Konstantinos T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4842900/
https://www.ncbi.nlm.nih.gov/pubmed/27199914
http://dx.doi.org/10.3389/fmicb.2016.00579
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author Johnston, Eric R.
Rodriguez-R, Luis M.
Luo, Chengwei
Yuan, Mengting M.
Wu, Liyou
He, Zhili
Schuur, Edward A. G.
Luo, Yiqi
Tiedje, James M.
Zhou, Jizhong
Konstantinidis, Konstantinos T.
author_facet Johnston, Eric R.
Rodriguez-R, Luis M.
Luo, Chengwei
Yuan, Mengting M.
Wu, Liyou
He, Zhili
Schuur, Edward A. G.
Luo, Yiqi
Tiedje, James M.
Zhou, Jizhong
Konstantinidis, Konstantinos T.
author_sort Johnston, Eric R.
collection PubMed
description How soil microbial communities contrast with respect to taxonomic and functional composition within and between ecosystems remains an unresolved question that is central to predicting how global anthropogenic change will affect soil functioning and services. In particular, it remains unclear how small-scale observations of soil communities based on the typical volume sampled (1–2 g) are generalizable to ecosystem-scale responses and processes. This is especially relevant for remote, northern latitude soils, which are challenging to sample and are also thought to be more vulnerable to climate change compared to temperate soils. Here, we employed well-replicated shotgun metagenome and 16S rRNA gene amplicon sequencing to characterize community composition and metabolic potential in Alaskan tundra soils, combining our own datasets with those publically available from distant tundra and temperate grassland and agriculture habitats. We found that the abundance of many taxa and metabolic functions differed substantially between tundra soil metagenomes relative to those from temperate soils, and that a high degree of OTU-sharing exists between tundra locations. Tundra soils were an order of magnitude less complex than their temperate counterparts, allowing for near-complete coverage of microbial community richness (~92% breadth) by sequencing, and the recovery of 27 high-quality, almost complete (>80% completeness) population bins. These population bins, collectively, made up to ~10% of the metagenomic datasets, and represented diverse taxonomic groups and metabolic lifestyles tuned toward sulfur cycling, hydrogen metabolism, methanotrophy, and organic matter oxidation. Several population bins, including members of Acidobacteria, Actinobacteria, and Proteobacteria, were also present in geographically distant (~100–530 km apart) tundra habitats (full genome representation and up to 99.6% genome-derived average nucleotide identity). Collectively, our results revealed that Alaska tundra microbial communities are less diverse and more homogenous across spatial scales than previously anticipated, and provided DNA sequences of abundant populations and genes that would be relevant for future studies of the effects of environmental change on tundra ecosystems.
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spelling pubmed-48429002016-05-19 Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem Johnston, Eric R. Rodriguez-R, Luis M. Luo, Chengwei Yuan, Mengting M. Wu, Liyou He, Zhili Schuur, Edward A. G. Luo, Yiqi Tiedje, James M. Zhou, Jizhong Konstantinidis, Konstantinos T. Front Microbiol Microbiology How soil microbial communities contrast with respect to taxonomic and functional composition within and between ecosystems remains an unresolved question that is central to predicting how global anthropogenic change will affect soil functioning and services. In particular, it remains unclear how small-scale observations of soil communities based on the typical volume sampled (1–2 g) are generalizable to ecosystem-scale responses and processes. This is especially relevant for remote, northern latitude soils, which are challenging to sample and are also thought to be more vulnerable to climate change compared to temperate soils. Here, we employed well-replicated shotgun metagenome and 16S rRNA gene amplicon sequencing to characterize community composition and metabolic potential in Alaskan tundra soils, combining our own datasets with those publically available from distant tundra and temperate grassland and agriculture habitats. We found that the abundance of many taxa and metabolic functions differed substantially between tundra soil metagenomes relative to those from temperate soils, and that a high degree of OTU-sharing exists between tundra locations. Tundra soils were an order of magnitude less complex than their temperate counterparts, allowing for near-complete coverage of microbial community richness (~92% breadth) by sequencing, and the recovery of 27 high-quality, almost complete (>80% completeness) population bins. These population bins, collectively, made up to ~10% of the metagenomic datasets, and represented diverse taxonomic groups and metabolic lifestyles tuned toward sulfur cycling, hydrogen metabolism, methanotrophy, and organic matter oxidation. Several population bins, including members of Acidobacteria, Actinobacteria, and Proteobacteria, were also present in geographically distant (~100–530 km apart) tundra habitats (full genome representation and up to 99.6% genome-derived average nucleotide identity). Collectively, our results revealed that Alaska tundra microbial communities are less diverse and more homogenous across spatial scales than previously anticipated, and provided DNA sequences of abundant populations and genes that would be relevant for future studies of the effects of environmental change on tundra ecosystems. Frontiers Media S.A. 2016-04-25 /pmc/articles/PMC4842900/ /pubmed/27199914 http://dx.doi.org/10.3389/fmicb.2016.00579 Text en Copyright © 2016 Johnston, Rodriguez-R, Luo, Yuan, Wu, He, Schuur, Luo, Tiedje, Zhou and Konstantinidis. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Johnston, Eric R.
Rodriguez-R, Luis M.
Luo, Chengwei
Yuan, Mengting M.
Wu, Liyou
He, Zhili
Schuur, Edward A. G.
Luo, Yiqi
Tiedje, James M.
Zhou, Jizhong
Konstantinidis, Konstantinos T.
Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem
title Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem
title_full Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem
title_fullStr Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem
title_full_unstemmed Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem
title_short Metagenomics Reveals Pervasive Bacterial Populations and Reduced Community Diversity across the Alaska Tundra Ecosystem
title_sort metagenomics reveals pervasive bacterial populations and reduced community diversity across the alaska tundra ecosystem
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4842900/
https://www.ncbi.nlm.nih.gov/pubmed/27199914
http://dx.doi.org/10.3389/fmicb.2016.00579
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