Evidence map›Paper›PMID 36988509›Full record

ArticlemBio2023

Niche Modification by Sulfate-Reducing Bacteria Drives Microbial Community Assembly in Anoxic Marine Sediments.

Qi-Yun Liang, Jin-Yu Zhang, Daliang Ning, Wen-Xing Yu, Guan-Jun Chen, Xuanyu Tao, Jizhong Zhou, Zong-Jun Du, Da-Shuai Mu

Open access · goldAbstract read
In one paragraph

Article in mBio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 9% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. The Nitratidesulfovibrio sp. and Thermodesulfomicrobium sp.: Isolated Sulfate-Reducing Bacteria From Ahvaz Oilfield in Khouzestan.Water environment research : a research publication of the Water Environment Federation · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Qi-Yun LiangMarine College, Shandong University, Weihai, People's Republic of China.ORCID 0000-0002-4218-7235
Jin-Yu ZhangMarine College, Shandong University, Weihai, People's Republic of China.
Daliang NingInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Wen-Xing YuMarine College, Shandong University, Weihai, People's Republic of China.
Guan-Jun ChenMarine College, Shandong University, Weihai, People's Republic of China.
Xuanyu TaoInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Jizhong ZhouInstitute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA.
Zong-Jun DuMarine College, Shandong University, Weihai, People's Republic of China.
Da-Shuai MuMarine College, Shandong University, Weihai, People's Republic of China.ORCID 0000-0001-7260-6165
Shandong University · CNUniversity of Oklahoma · USState Key Joint Laboratory of Environment Simulation and Pollution Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sulfate-reducing bacteria (SRB) are essential functional microbial taxa for degrading organic matter (OM) in anoxic marine environments. However, there are little experimental data regarding how SRB regulates microbial communities. Here, we applied a top-down microbial community management approach by inhibiting SRB to elucidate their contributions to the microbial community during OM degradation. Based on the highly replicated microcosms (

Indexed as

BacteriaMicrobiotaBacteroidetesGeologic SedimentsHumansPhylogenySulfatesSulfatesbiotic interactionsmicrobial community assemblymolecular ecological networksorganic matter degradationsulfate-reducing bacteriasulfate-reducing organisms

Identifiers

PMID36988509
PMCPMC10128000
OpenAlexW4361287025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.