Evidence map›Paper›PMID 42699495›Full record

ArticleFrontiers in microbiology2026

Microbial enzyme-driven carbon-nitrogen cycling processes of greenhouse gases in sandy sediments of river-oasis systems in arid regions.

Guoqing Lv, Junjian Wang, Lijun Hou, Xigang Liu, Mao Ye, Xiaoshuang Zhao, Yaqi Song, Zongxiao Zhang, Yonghui Wang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Guoqing LvCollege of Geography Science and Tourism, Xinjiang Normal University, Urumqi, China.
Junjian WangState Key Laboratory of Soil Pollution Control and Safety, MEE Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Lijun HouState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.
Xigang LiuCollege of Geography Science and Tourism, Xinjiang Normal University, Urumqi, China.
Mao YeCollege of Geography Science and Tourism, Xinjiang Normal University, Urumqi, China.
Xiaoshuang ZhaoCollege of Geography Science and Tourism, Xinjiang Normal University, Urumqi, China.
Yaqi SongCollege of Geography Science and Tourism, Xinjiang Normal University, Urumqi, China.
Zongxiao ZhangCollege of Geography Science and Tourism, Xinjiang Normal University, Urumqi, China.
Yonghui WangCollege of Geography Science and Tourism, Xinjiang Normal University, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arid inland rivers are important components of the land-water-ocean continuum, yet the linkages among sediment texture, microbial-mediated processes, and greenhouse gas (GHG) production remain poorly understood in sandy systems. Here, we investigated surface (0-5 cm) and subsurface (5-10 cm) sediments from the Niya River Basin, a desert-oasis agricultural river in northwestern China, by integrating sediment particle-size characterization, physicochemical measurements, extracellular enzyme assays, GHG production experiments, and multivariate analyses. We examined how sediment texture and carbon-nitrogen substrate availability regulate enzyme activities and CO₂, CH₄, and N₂O production potentials. Sediments were dominated by sand (>78%) but exhibited pronounced spatial heterogeneity in enzyme activities and GHG production. Localized hotspots of enzyme activities and CH₄/N₂O production were associated with enriched TOC, TN, and NH₄

Indexed as

biogeochemical hotspotscarbon–nitrogen transformationgreenhouse gas productionmicrobial extracellular enzymesoasis agricultural areasediment texture heterogeneity

Identifiers

PMID42699495
PMCPMC13543408

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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.