Evidence map›Paper›PMID 24108327›Full record

ArticleThe ISME journal2014

Distinct responses of soil microbial communities to elevated CO2 and O3 in a soybean agro-ecosystem.

Zhili He, Jinbo Xiong, Angela D Kent, Ye Deng, Kai Xue, Gejiao Wang, Liyou Wu, Joy D Van Nostrand, Jizhong Zhou

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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.8field-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

18 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Effects of Increasing COPlants (Basel, Switzerland) · 2025
    Article
  3. Elevated atmospheric COBMC microbiology · 2023
    Article
  4. Root-Zone COInternational journal of molecular sciences · 2022
    Article
  5. Elevated Atmospheric COMicrobial ecology · 2022
    Article
  6. Article
  7. Review
  8. Elevated COFrontiers in microbiology · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. 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

9 authors at 4 institutions in 2 countries.

Zhili HeInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, the University of Oklahoma, Norman, OK, USA. zhili.he@ou.edu.
Jinbo XiongInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, the University of Oklahoma, Norman, OK, USA.
Angela D KentDepartment of Natural Resources and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Ye DengInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, the University of Oklahoma, Norman, OK, USA.
Kai XueInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, the University of Oklahoma, Norman, OK, USA.
Gejiao WangState Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China.
Liyou WuInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, the University of Oklahoma, Norman, OK, USA.
Joy D Van NostrandInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, the University of Oklahoma, Norman, OK, USA.
Jizhong ZhouInstitute for Environmental Genomics and Department of Microbiology and Plant Biology, the University of Oklahoma, Norman, OK, USA. jzhou@ou.edu.
University of Oklahoma · USHuazhong Agricultural University · CNNingbo University · CNUniversity of Illinois Urbana-Champaign · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concentrations of atmospheric carbon dioxide (CO2) and tropospheric ozone (O3) have been rising due to human activities. However, little is known about how such increases influence soil microbial communities. We hypothesized that elevated CO2 (eCO2) and elevated O3 (eO3) would significantly affect the functional composition, structure and metabolic potential of soil microbial communities, and that various functional groups would respond to such atmospheric changes differentially. To test these hypotheses, we analyzed 96 soil samples from a soybean free-air CO2 enrichment (SoyFACE) experimental site using a comprehensive functional gene microarray (GeoChip 3.0). The results showed the overall functional composition and structure of soil microbial communities shifted under eCO2, eO3 or eCO2+eO3. Key functional genes involved in carbon fixation and degradation, nitrogen fixation, denitrification and methane metabolism were stimulated under eCO2, whereas those involved in N fixation, denitrification and N mineralization were suppressed under eO3, resulting in the fact that the abundance of some eO3-supressed genes was promoted to ambient, or eCO2-induced levels by the interaction of eCO2+eO3. Such effects appeared distinct for each treatment and significantly correlated with soil properties and soybean yield. Overall, our analysis suggests possible mechanisms of microbial responses to global atmospheric change factors through the stimulation of C and N cycling by eCO2, the inhibition of N functional processes by eO3 and the interaction by eCO2 and eO3. This study provides new insights into our understanding of microbial functional processes in response to global atmospheric change in soybean agro-ecosystems.

Indexed as

EcosystemSoil MicrobiologyCarbonCarbon CycleCarbon DioxideGlycine maxNitrogenOzonePhosphorusSulfurCarbonCarbon DioxideNitrogenOzonePhosphorusSulfur

Identifiers

PMID24108327
PMCPMC3930317
OpenAlexW2096480488

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.