Evidence map›Paper›PMID 29463661›Full record

ArticlemBio2018

Microbial Functional Gene Diversity Predicts Groundwater Contamination and Ecosystem Functioning.

Zhili He, Ping Zhang, Linwei Wu, Andrea M Rocha, Qichao Tu, Zhou Shi, Bo Wu, Yujia Qin, Jianjun Wang, Qingyun Yan and 14 more

Abstract read
In one paragraph

Article in mBio, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Microbial ecology of shallow groundwater ecosystems.Nature reviews. Microbiology · 2026
    Review
  2. Article
  3. Article
  4. Article
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  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
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  13. Article
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  15. A general framework for quantitatively assessing ecological stochasticity.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

24 authors.

Zhili HeEnvironmental Microbiomics Research Center, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China hezhili@mail.sysu.edu.cn jzhou@ou.edu.
Ping ZhangInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Linwei WuInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Andrea M RochaBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Qichao TuInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.ORCID 0000-0002-3245-7545
Zhou ShiInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Bo WuEnvironmental Microbiomics Research Center, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China.
Yujia QinInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Jianjun WangInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Qingyun YanEnvironmental Microbiomics Research Center, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou, China.
Daniel CurtisInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Daliang NingInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Joy D Van NostrandInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Liyou WuInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Yunfeng YangSchool of Environment, Tsinghua University, Beijing, China.ORCID 0000-0001-8274-6196
Dwayne A EliasBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0002-4469-6391
David B WatsonBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.
Michael W W AdamsDepartment of Biochemistry and Molecular Biology, University of Georgia, Athens, Georgia, USA.
Matthew W FieldsDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.ORCID 0000-0001-9053-1849
Eric J AlmBiological Engineering Department, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Terry C HazenBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.ORCID 0000-0002-2536-9993
Paul D AdamsEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Adam P ArkinEarth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Jizhong ZhouInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA hezhili@mail.sysu.edu.cn jzhou@ou.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contamination from anthropogenic activities has significantly impacted Earth's biosphere. However, knowledge about how environmental contamination affects the biodiversity of groundwater microbiomes and ecosystem functioning remains very limited. Here, we used a comprehensive functional gene array to analyze groundwater microbiomes from 69 wells at the Oak Ridge Field Research Center (Oak Ridge, TN), representing a wide pH range and uranium, nitrate, and other contaminants. We hypothesized that the functional diversity of groundwater microbiomes would decrease as environmental contamination (e.g., uranium or nitrate) increased or at low or high pH, while some specific populations capable of utilizing or resistant to those contaminants would increase, and thus, such key microbial functional genes and/or populations could be used to predict groundwater contamination and ecosystem functioning. Our results indicated that functional richness/diversity decreased as uranium (but not nitrate) increased in groundwater. In addition, about 5.9% of specific key functional populations targeted by a comprehensive functional gene array (GeoChip 5) increased significantly (

Indexed as

EcosystemEnvironmental PollutionBiotaGroundwaterHydrogen-Ion ConcentrationMetagenomeNitratesTennesseeUraniumWater Pollutants, ChemicalNitratesUraniumWater Pollutants, Chemicalecosystem functioningenvironmental contaminationgroundwater microbiomemetagenomicsmicrobial functional generandom forest

Identifiers

PMID29463661
PMCPMC5821090

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.