Evidence map›Paper›PMID 42211849›Full record

ArticleFrontiers in microbiology2026

Contrasting microbial iron metabolism in sediments from oxic and hypoxic estuaries.

Rui Du, Cheng Xu, Duo Zhao, Hanqing Zeng, Yilin Cheng, Kai Tang, Pinghe Cai, Yao Zhang

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.

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

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

8 authors.

Rui DuState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Cheng XuState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Duo ZhaoState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Hanqing ZengState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Yilin ChengState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Kai TangState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Pinghe CaiState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.
Yao ZhangState Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Estuarine sediments are pivotal zones for iron (Fe) cycling, mediated by microbial communities and coupled to carbon, nitrogen, sulfur and phosphorus transformations. However, the microbial iron metabolic processes in estuarine sediments remain poorly characterized, particularly under hypoxia. This study compared metagenomes from the Oujiang River Estuary, an oxic estuary, and the Yangtze River Estuary, a seasonally hypoxic estuary, complemented by sediment core incubations to assess geochemical responses to deoxygenation. The taxonomic affiliations of iron metabolism-related genes in the oxic estuary were homogeneous with depth, dominated by Proteobacteria and Thermodesulfobacteriota. In contrast, the hypoxic estuary exhibited strong stratification, with the surface enriched in Proteobacteria and deeper horizons dominated by Chloroflexota and

Indexed as

estuarine sedimenthypoxiametagenomicsmicrobial iron metabolismsediment core incubation

Identifiers

PMID42211849
PMCPMC13212322

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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.