Evidence map›Paper›PMID 40703449›Full record

ArticleiScience2025

Characteristics of methanotrophic communities and their physicochemical driving mechanisms in estuarine and nearshore wetlands of Qinghai Lake.

Wei Ji, Likai Ren, Zhiyun Zhou, Jianpeng Yang, Ziwei Yang, Ni Zhang, Jianqing Sun, Kelong Chen, Wenbo Chai

Abstract read
In one paragraph

Article in iScience, 2025. 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

9 authors.

Wei JiQinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China.
Likai RenLianyungang Academy of Agricultural Sciences, Lianyungang 222006, China.
Zhiyun ZhouQinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China.
Jianpeng YangQinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China.
Ziwei YangQinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China.
Ni ZhangQinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China.
Jianqing SunNational Positioning Observation and Research Station of Qinghai Lake Wetland Ecosystem in Qinghai, National Forestry and Grassland Administration, Huaibei 812300, China.
Kelong ChenQinghai Province Key Laboratory of Physical Geography and Environmental Process, College of Geographical Science, Qinghai Normal University, Xining 810008, China.
Wenbo ChaiLianyungang Academy of Agricultural Sciences, Lianyungang 222006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methanotrophic communities play a vital role in regulating methane fluxes in wetland ecosystems. This study examined the composition and environmental drivers of methanotrophs in estuarine and nearshore wetlands of the Qinghai Lake basin. Soil samples from six sites across three tributaries showed clear spatial and vertical variation in organic matter, nitrogen forms, and salinity. The Heima River estuarine wetland exhibited the highest methanotrophic diversity and functional potential. Dominant genera included

Indexed as

Aquatic biologyEcologyGeomicrobiologyMicrobiology

Identifiers

PMID40703449
PMCPMC12283554

What OpenQuestion holds

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LicenceCC BY-NC
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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.