Evidence map›Paper›PMID 40563850›Full record

ArticleBiology2025

Soil Microbial Community Characteristics and Influencing Factors in Alpine Marsh Wetlands with Different Degradation Levels in Qilian Mountain National Park, Qinghai, China.

Jintao Zhang, Xufeng Mao, Hongyan Yu, Xin Jin, Lele Zhang, Kai Du, Yanxiang Jin, Yongxiao Yang, Xianying Wang

Abstract read
In one paragraph

Article in Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

9 authors.

Jintao ZhangKey Laboratory of Physical Geography and Ecological Conservation of the Qinghai-Tibet Plateau, Key Laboratory of Physical Geography and Environmental Processes of Qinghai Province, Ministry of Education, Xining 810000, China.
Xufeng MaoKey Laboratory of Physical Geography and Ecological Conservation of the Qinghai-Tibet Plateau, Key Laboratory of Physical Geography and Environmental Processes of Qinghai Province, Ministry of Education, Xining 810000, China.
Hongyan YuService and Support Center of Qilian Mountain National Park in Qinghai, Xining 810000, China.
Xin JinKey Laboratory of Physical Geography and Ecological Conservation of the Qinghai-Tibet Plateau, Key Laboratory of Physical Geography and Environmental Processes of Qinghai Province, Ministry of Education, Xining 810000, China.
Lele ZhangKey Laboratory of Physical Geography and Ecological Conservation of the Qinghai-Tibet Plateau, Key Laboratory of Physical Geography and Environmental Processes of Qinghai Province, Ministry of Education, Xining 810000, China.ORCID 0000-0002-5936-5691
Kai DuKey Laboratory of Physical Geography and Ecological Conservation of the Qinghai-Tibet Plateau, Key Laboratory of Physical Geography and Environmental Processes of Qinghai Province, Ministry of Education, Xining 810000, China.
Yanxiang JinKey Laboratory of Physical Geography and Ecological Conservation of the Qinghai-Tibet Plateau, Key Laboratory of Physical Geography and Environmental Processes of Qinghai Province, Ministry of Education, Xining 810000, China.
Yongxiao YangKey Laboratory of Physical Geography and Ecological Conservation of the Qinghai-Tibet Plateau, Key Laboratory of Physical Geography and Environmental Processes of Qinghai Province, Ministry of Education, Xining 810000, China.
Xianying WangService and Support Center of Qilian Mountain National Park in Qinghai, Xining 810000, China.

Funding

National Natural Science Foundation of China; Natural Science Foundation of Qinghai Province 42201174;2024-ZJ-910National Natural Science Foundation of China;Natural Science Foundation of Qinghai Province 42201174;2024-ZJ-910
6 · The paper itself

Abstract

The microbial community is one of the key indicators for evaluating the health of alpine marsh wetlands, and understanding the composition and health of alpine wetland communities provides a scientific rationale for conservation and restoration efforts. Taking the alpine marsh wetlands in Qilian Mountain National Park, Qinghai Province, as the research object, 27 soil samples (0-30 cm depth) were collected in July 2024 from three types of wetlands: non-degraded (ND), low-level degraded (LD), and heavily degraded (HD). Using high-throughput sequencing, PICRUSt2 functional prediction, nonmetric multidimensional scaling (NMDS), and redundancy analysis (RDA), we analyzed the bacterial community structure and functional characteristics as well as the soil physicochemical properties across different degradation levels and soil depths. Pearson correlation analysis and RDA were used to identify key soil indicators influencing microbial community characteristics. The results showed that (1) compared to ND, the relative abundance of Acidobacteriota increased from 12.3% to 23.7%, and that of Pseudomonadota increased from 28.5% to 35.1% in HD wetlands. Meanwhile, the Shannon index rose from 5.31 in ND to 6.52 in HD, indicating significantly increased microbial community diversity and complexity with wetland degradation (

Indexed as

high-throughput sequencingmarsh wetlandsmicroorganismsQilian Mountainssoil

Identifiers

PMID40563850
PMCPMC12189283

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Registered trials

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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.