Evidence map›Paper›PMID 36765103›Full record

ArticleISME communications2021

Soil microbial trait-based strategies drive metabolic efficiency along an altitude gradient.

Jiao Feng, Xiao-Min Zeng, Qianggong Zhang, Xin-Quan Zhou, Yu-Rong Liu, Qiaoyun Huang

Abstract read
In one paragraph

Article in ISME communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Article
  7. Article
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  9. Article
  10. Soil microbial life history strategies covary with ecosystem multifunctionality across aridity gradients.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Biodiversity in mountain soils above the treeline.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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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

6 authors.

Jiao Feng *State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Xiao-Min Zeng *State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Qianggong ZhangKey Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China.
Xin-Quan ZhouState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.
Yu-Rong LiuState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China. yrliu@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0003-1112-4255
Qiaoyun HuangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32071595National Natural Science Foundation of China (National Science Foundation of China) 41830756National Natural Science Foundation of China (National Science Foundation of China) 42177022
6 · The paper itself

Abstract

Trait-based approaches provide a candidate framework for linking soil microbial community to ecosystem processes, yet how the trade-offs in different microbial traits regulate the community-level metabolic efficiency remains unknown. Herein we assessed the roles of the microbial taxa with particular trait strategies in mediating soil microbial metabolic efficiency along an altitude gradient on the Tibetan Plateau. Results showed that soil microbial metabolic efficiency declined with increasing altitude, as indicated by the increasing metabolic quotient (microbial respiration per unit biomass, qCO

Identifiers

PMID36765103
PMCPMC9723748

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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.