Evidence map›Paper›PMID 39162262›Full record

ArticleMicrobiology spectrum2024

Characterization of water microbiota and their relationship with resident oysters during an oyster mortality event.

Mingkun Liu, Qingyuan Li, Wenwen Xu, Luping Wang, Fucun Wu, Lintao Tan, Li Li, Guofan Zhang

Abstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Mingkun LiuCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, National and Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.ORCID 0000-0002-5026-136X
Qingyuan LiCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, National and Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
Wenwen XuShandong Technology Innovation Center of Oyster Seed Industry, Qingdao, China.
Luping WangCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, National and Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
Fucun WuCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, National and Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
Lintao TanShandong Technology Innovation Center of Oyster Seed Industry, Qingdao, China.
Li LiCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, National and Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
Guofan ZhangCAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, National and Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.

Funding

Earmarked Fund for CARS CARS-49Key Research and Development Program of Shandong 2022LZGC015Key Research and Development Program of Shandong ZFJH202309National Key R&D Program of China 2022YFD2400304
6 · The paper itself

Abstract

Microorganisms are vital for the health of marine invertebrates, and their assembly is driven by both deterministic and stochastic factors that regulate residents (innate to the host) and transients (from ambient water). However, the role of water microbiota and the significance of deterministic and stochastic processes in aquatic hosts facing mortality threats are largely unknown. This study examines the shifts in water microbiota during an oyster mortality event using amplicon sequencing and compared with those of resident oysters to disentangle the balance of the deterministic and stochastic factors involved. Water temperature and dissolved oxygen significantly shape the microbial community with a distinct monthly pattern, and

Indexed as

BacteriaMicrobiotaOstreidaeWater MicrobiologyAnimalsCyanobacteriaSeawaterTemperatureenvironmental microbiotaintestinal microbiota plasticitymicrobial ecologyoyster mortalityresident and transient microbes

Identifiers

PMID39162262
PMCPMC11448099

What OpenQuestion holds

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LicenceCC BY
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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.