Evidence map›Paper›PMID 27199914›Full record

ArticleFrontiers in microbiology2016

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

Eric R Johnston, Luis M Rodriguez-R, Chengwei Luo, Mengting M Yuan, Liyou Wu, Zhili He, Edward A G Schuur, Yiqi Luo, James M Tiedje, Jizhong Zhou and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
8.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 75 citations in OpenAlex.

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  8. PervasiveApplied and environmental microbiology · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 2 countries.

Eric R JohnstonSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta GA, USA.
Luis M Rodriguez-RCenter for Bioinformatics and Computational Genomics, Georgia Institute of Technology, AtlantaGA, USA; School of Biology, Georgia Institute of Technology, AtlantaGA, USA.
Chengwei LuoCenter for Bioinformatics and Computational Genomics, Georgia Institute of Technology, Atlanta GA, USA.
Mengting M YuanDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman OK, USA.
Liyou WuDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman OK, USA.
Zhili HeDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman OK, USA.
Edward A G SchuurDepartment of Biological Sciences, Northern Arizona University, Flagstaff AZ, USA.
Yiqi LuoDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, Norman OK, USA.
James M TiedjeCenter for Microbial Ecology, Michigan State University, East Lansing MI, USA.
Jizhong ZhouDepartment of Microbiology and Plant Biology, Institute for Environmental Genomics, University of Oklahoma, NormanOK, USA; Earth Science Division, Lawrence Berkeley National Laboratory, BerkeleyCA, USA; State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua UniversityBeijing, China.
Konstantinos T KonstantinidisSchool of Civil and Environmental Engineering, Georgia Institute of Technology, AtlantaGA, USA; Center for Bioinformatics and Computational Genomics, Georgia Institute of Technology, AtlantaGA, USA; School of Biology, Georgia Institute of Technology, AtlantaGA, USA.
Georgia Institute of Technology · USUniversity of Oklahoma · USMichigan State University · USNorthern Arizona University · USTsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

climate changeecosystem ecologyenvironmental sciencemetagenomicsmicrobial diversitypermafrostsoil microbiologytundra

Identifiers

PMID27199914
PMCPMC4842900
OpenAlexW2343336356

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.