Evidence map›Paper›PMID 23985745›Full record

ArticleThe ISME journal2014

The microbial gene diversity along an elevation gradient of the Tibetan grassland.

Yunfeng Yang, Ying Gao, Shiping Wang, Depeng Xu, Hao Yu, Linwei Wu, Qiaoyan Lin, Yigang Hu, Xiangzhen Li, Zhili He and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
13.8field-weighted citation impact, top 1% 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

97 citing papers in PubMed, 291 citations in OpenAlex.

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    Review
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37 more citing papers are in PubMed but not listed here.

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

12 authors at 7 institutions in 2 countries.

Yunfeng YangState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Ying GaoState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Shiping WangLaboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China.
Depeng XuState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Hao YuDepartment of Botany and Microbiology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.
Linwei WuState Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China.
Qiaoyan LinKey Laboratory of Adaption and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China.
Yigang Hu1] Key Laboratory of Adaption and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, China [2] Shapotou Desert Experiment and Research Station, Cold and Arid Regions and Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, China.
Xiangzhen LiChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.
Zhili HeDepartment of Botany and Microbiology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.
Ye DengDepartment of Botany and Microbiology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA.
Jizhong Zhou1] State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China [2] Department of Botany and Microbiology, Institute for Environmental Genomics, University of Oklahoma, Norman, OK, USA [3] Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
University of Oklahoma · USChinese Academy of Sciences · CNState Key Joint Laboratory of Environment Simulation and Pollution Control · CNTsinghua University · CNChengdu Institute of Biology · CNInstitute of Tibetan Plateau Research · CNLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tibet is one of the most threatened regions by climate warming, thus understanding how its microbial communities function may be of high importance for predicting microbial responses to climate changes. Here, we report a study to profile soil microbial structural genes, which infers functional roles of microbial communities, along four sites/elevations of a Tibetan mountainous grassland, aiming to explore the potential microbial responses to climate changes via a strategy of space-for-time substitution. Using a microarray-based metagenomics tool named GeoChip 4.0, we showed that microbial communities were distinct for most but not all of the sites. Substantial variations were apparent in stress, N and C-cycling genes, but they were in line with the functional roles of these genes. Cold shock genes were more abundant at higher elevations. Also, gdh converting ammonium into urea was more abundant at higher elevations, whereas ureC converting urea into ammonium was less abundant, which was consistent with soil ammonium contents. Significant correlations were observed between N-cycling genes (ureC, gdh and amoA) and nitrous oxide flux, suggesting that they contributed to community metabolism. Lastly, we found by Canonical correspondence analysis, Mantel tests and the similarity tests that soil pH, temperature, NH4(+)-N and vegetation diversity accounted for the majority (81.4%) of microbial community variations, suggesting that these four attributes were major factors affecting soil microbial communities. On the basis of these observations, we predict that climate changes in the Tibetan grasslands are very likely to change soil microbial community functional structure, with particular impacts on microbial N-cycling genes and consequently microbe-mediated soil N dynamics.

Indexed as

AltitudeEcosystemGenetic VariationMetagenomeSoil MicrobiologyBacteriaGenes, MicrobialMetagenomicsPoaceaeTibet

Identifiers

PMID23985745
PMCPMC3906809
OpenAlexW2056451184

What OpenQuestion holds

Textmetadata
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.