Evidence map›Paper›PMID 29497087›Full record

ArticleScientific reports2018

Degradation shaped bacterial and archaeal communities with predictable taxa and their association patterns in Zoige wetland at Tibet plateau.

Yunfu Gu, Yan Bai, Quanju Xiang, Xiumei Yu, Ke Zhao, Xiaoping Zhang, Chaonan Li, Songqing Liu, Qiang Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
5.1field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Soil Bacteria to RegulatePlants (Basel, Switzerland) · 2021
    Article
  18. Article
  19. Article
  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

9 authors at 3 institutions in 1 country.

Yunfu GuDepartment of Microbiology, College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Yan BaiDepartment of Microbiology, College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Quanju XiangDepartment of Microbiology, College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Xiumei YuDepartment of Microbiology, College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Ke ZhaoDepartment of Microbiology, College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Xiaoping ZhangDepartment of Microbiology, College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, 611130, China.
Chaonan LiEnvironmental Microbiology Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Songqing LiuDepartment of Microbiology, College of Chemistry and Life Science, Chengdu Normal University, Chengdu, 611130, China.
Qiang ChenDepartment of Microbiology, College of Resource Sciences and Technology, Sichuan Agricultural University, Chengdu, 611130, China. cqiang@sicau.edu.cn.
Sichuan Agricultural University · CNChengdu Normal University · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbes provide important ecosystem services. Zoige Plateau wetland, the largest alpine peat wetland in the world, has suffered from serious degradation in the past 30 years. We studied the composition of the Zoige Plateau alpine wetland soil microbiota and relations among specific taxa using 16S rRNA amplicon sequencing combined with association network analysis. Compared to the pristine swamp soil, taxons DA101, Aeromicrobium, Bradyrhizobium, and Candidatus Nitrososphaera were enriched and several methanogenic Euryarchaeota were depleted in the moderately degraded meadow soil and highly degraded sandy soil. Soil total potassium contents in soils with different degradation levels were significantly different, being the highest in meadow soil and lowest in swamp soil. The association network analysis showed that total potassium positively correlated with specific bacterial and archaeal taxa. Jiangella, Anaerolinea, Desulfobulbus, Geobacter, Flavobacterium, Methanobacterium and Methanosaeta were identified as the keystone genera in the networks. Soil degradation affected soil properties, and caused changes in the bacterial and archaeal community composition and the association patterns of community members. The changes could serve as early warning signals of soil degradation in alpine wetlands.

Indexed as

Soil MicrobiologyWetlandsArchaeaBacteriaBiodiversityEcosystemMicrobiotaRNA, Ribosomal, 16SSoilTibetRNA, Ribosomal, 16SSoil

Identifiers

PMID29497087
PMCPMC5832768
OpenAlexW2799299915

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.