Evidence map›Paper›PMID 42039824›Full record

ArticleFrontiers in microbiology2026

Insights into community profiles, environmental influence, and assembly mechanisms of oyster-associated bacteriome from Yueqing Bay, China via absolute quantitation by metabarcoding.

Huai Lin, Xin Li, Linhao Chen, Tingting Zhang, Fengxia Yang, Yi Luo

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

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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

6 authors.

Huai LinState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China.
Xin LiState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China.
Linhao ChenState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China.
Tingting ZhangState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China.
Fengxia YangAgro-Environment Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin, China.
Yi LuoState Key Laboratory of Water Pollution Control and Green Resource Recycling, School of the Environment, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oyster populations create new habitats, maintain productivity, improve water quality by removing excess nutrients in coastal environments, and provide a source of animal protein. More importantly, their associated bacteriome is likely a primary contributor to these ecological functions. However, the community profiles, assembly mechanisms of oyster-associated bacteria, and their interaction with the surrounding environment remain poorly understood. Methods: In this study, 24 oysters were collected from four typical oyster farming sites from Yueqing Bay, China, and subjected to spike-in absolute high-throughput 16S rRNA amplicon sequencing and subsequent bioinformatic analysis. Results and discussion: The results show that the pan-bacteriome of oysters from Yueqing was dominated by Proteobacteria at the phylum and Conclusion: Collectively, the findings of this study enhance our understanding of the patterns of farmed oyster bacteriome across different environmental conditions and their underlying assembly mechanisms, thereby providing essential insights for evaluating coastal ecosystem health and valuable guidance for sustainable oyster farming practices.

Indexed as

16S rRNAassembly mechanismbacteriomeenvironmentoysters

Identifiers

PMID42039824
PMCPMC13108226

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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.