Evidence map›Paper›PMID 25365331›Full record

ArticlePloS one2014

Taxonomic and functional diversity provides insight into microbial pathways and stress responses in the saline Qinghai Lake, China.

Qiuyuan Huang, Brandon R Briggs, Hailiang Dong, Hongchen Jiang, Geng Wu, Christian Edwardson, Iwijn De Vlaminck, Stephen Quake

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Forecasting Root Rot Disease through Predictive Microbial Functional Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Qiuyuan HuangDepartment of Geology and Environmental Earth Science, Miami University, Oxford, Ohio, United States of America; Department of Microbiology, University of Georgia, Athens, Georgia, United States of America.
Brandon R BriggsDepartment of Geology and Environmental Earth Science, Miami University, Oxford, Ohio, United States of America.
Hailiang DongDepartment of Geology and Environmental Earth Science, Miami University, Oxford, Ohio, United States of America; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Hongchen JiangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Geng WuState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Christian EdwardsonDepartment of Microbiology, University of Georgia, Athens, Georgia, United States of America.
Iwijn De VlaminckDepartments of Bioengineering and Applied Physics, Stanford University and the Howard Hughes Medical Institute, Stanford, California, United States of America.
Stephen QuakeDepartments of Bioengineering and Applied Physics, Stanford University and the Howard Hughes Medical Institute, Stanford, California, United States of America.
China University of Geosciences · CNStanford University · USUniversity of Georgia · USMiami University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbe-mediated biogeochemical cycles contribute to the global climate system and have sensitive responses and feedbacks to environmental stress caused by climate change. Yet, little is known about the effects of microbial biodiversity (i.e., taxonmic and functional diversity) on biogeochemical cycles in ecosytems that are highly sensitive to climate change. One such sensitive ecosystem is Qinghai Lake, a high-elevation (3196 m) saline (1.4%) lake located on the Tibetan Plateau, China. This study provides baseline information on the microbial taxonomic and functional diversity as well as the associated stress response genes. Illumina metagenomic and metatranscriptomic datasets were generated from lake water samples collected at two sites (B and E). Autotrophic Cyanobacteria dominated the DNA samples, while heterotrophic Proteobacteria dominated the RNA samples at both sites. Photoheterotrophic Loktanella was also present at both sites. Photosystem II was the most active pathway at site B; while, oxidative phosphorylation was most active at site E. Organisms that expressed photosystem II or oxidative phosphorylation also expressed genes involved in photoprotection and oxidative stress, respectively. Assimilatory pathways associated with the nitrogen cycle were dominant at both sites. Results also indicate a positive relationship between functional diversity and the number of stress response genes. This study provides insight into the stress resilience of microbial metabolic pathways supported by greater taxonomic diversity, which may affect the microbial community response to climate change.

Indexed as

BiodiversityWater MicrobiologyChinaCyanobacteriaLakesStress, Physiological

Identifiers

PMID25365331
PMCPMC4218802
OpenAlexW1966049848

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.