Evidence map›Paper›PMID 42514106›Full record

ArticleMicroorganisms2026

Patterns of Soil Microbial Diversity, Assembly, and Co-Occurrence Along a Natural Salinity Gradient in an Inland Saline-Alkali Wetland.

Jie Wei, Fan Chang, Haomin Yang, Yan Sun, Zhi Li, Jun Li, Nannan Liu, Zhuan Hao

Abstract read
In one paragraph

Article in Microorganisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Jie WeiCollege of Environmental and Life Sciences, Weinan Normal University, Weinan 714009, China.ORCID 0000-0001-5963-0339
Fan ChangShaanxi Institute of Microbiology, Xi'an 710043, China.ORCID 0000-0002-6422-1852
Haomin YangFisheries Institute, Sichuan Academy of Agricultural Sciences, Yibin 644000, China.
Yan SunCollege of Life Sciences, Shaanxi Normal University, Xi'an 710119, China.
Zhi LiCollege of Life Sciences, Shaanxi Normal University, Xi'an 710119, China.
Jun LiCollege of Environmental and Life Sciences, Weinan Normal University, Weinan 714009, China.
Nannan LiuKey Laboratory for Ecology and Environment of River Wetlands in Shaanxi Province, Weinan 714009, China.
Zhuan HaoCollege of Environmental and Life Sciences, Weinan Normal University, Weinan 714009, China.

Funding

College Students' Innovative Entrepreneurial Training Plan Program 202510723002Key Research and Development Program of Shaanxi 2024NC-YBXM-224Natural Science Basic Research Program of Shaanxi 2024JC-YBMS-173Program Project of Youth Innovation Team of Shaanxi Provincial Department of Education 22JP022Qin Chuangyuan Research Special Project Program 2025QY-CY-YY10The 2025 Annual Youth Project of the "14th Five-Year Plan" for Education Science in Shaanxi Province SGH25Q536Weihai Science and Technology Bureau 2023ZDYFJH-276Weinan Normal University Talent Project 2022RC26
6 · The paper itself

Abstract

Natural inland saline-alkaline wetlands offer opportunities for evaluating microbial responses to long-term salinity stress. This study examined surface soils from non-saline, moderately saline, and hypersaline sites in the Luyang Lake wetland, measuring comprehensive edaphic variables (including SAR, ESP, carbonate/bicarbonate chemistry, moisture, DOC, and inorganic N) alongside bacterial and fungal communities via 16S rRNA and ITS sequencing. A coupled salinity-ion and nutrient gradient was identified, with hypersaline soils characterized by high Na

Indexed as

co-occurrence networkdeterministic selectionmicrobial community assemblysaline–alkali wetland

Identifiers

PMID42514106
PMCPMC13414336

What OpenQuestion holds

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LicenceCC BY
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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.