Evidence map›Paper›PMID 42283145›Full record

ArticleEnvironmental microbiology reports2026

Metabolic Flux Analysis Reveals Entner-Doudoroff Pathway Dominance in Heterotrophic Deep-Sea Bacterial Isolates.

Yuxue Yang, Yue Wu, Keni Ma, Yue Li, Junwei Cao, Yuli Wei, Ruilian Yao, Weichao Wu

Abstract read
In one paragraph

Article in Environmental microbiology reports, 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.

Yuxue YangCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China.
Yue WuCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China.
Keni MaCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China.
Yue LiCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China.
Junwei CaoCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China.ORCID https://orcid.org/0000-0002-6913-2509
Yuli WeiCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China.
Ruilian YaoState Key Laboratory of Microbial Metabolism, Joint International Laboratory on Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Weichao WuCollege of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China.ORCID https://orcid.org/0000-0001-8728-5990

Funding

China Postdoctoral Science Foundation 2025M771291National Key Research and Development Program of China 2024YFC2816200National Natural Science Foundation of China 41706146National Natural Science Foundation of China 42106046National Natural Science Foundation of China 42376047Natural Science Foundation of Shanghai 25ZR1402191
6 · The paper itself

Abstract

Deep-sea microorganisms adapt to extreme conditions by diverse metabolic strategies, yet their intracellular carbon fluxes remain largely unexplored. Here, we investigated the central carbon metabolic fluxes of four bacterial strains isolated from Pacific Ocean sediments and deep waters, including Stutzerimonas marianensis PS1, Shewanella piezotolerans WP3, Georhizobium profundi WS11 and Parasedimentitalea marina W43. Using

Indexed as

BacteriaMetabolic Flux AnalysisSeawaterCarbonCarbon IsotopesGeologic SedimentsGlucoseGlycolysisHeterotrophic ProcessesMetabolic Networks and PathwaysPacific OceanPentose Phosphate PathwayCarbonCarbon IsotopesGlucose13C metabolic flux analysisanaplerotic reactionscentral carbon metabolic fluxdeep‐sea bacteria

Identifiers

PMID42283145
PMCPMC13261371

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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.