Evidence map›Paper›PMID 42565884›Full record

ArticleWorld journal of microbiology & biotechnology2026

Optimization and application of probiotics complex for grouper based on dynamic model.

Chuangsi Chen, Wanghui Song, Chunxiang Ai, Jing Zhao

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 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
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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

4 authors.

Chuangsi ChenCollege of Ocean and Earth Sciences of Xiamen University, Xiamen, Fujian, China.
Wanghui SongCollege of Ocean and Earth Sciences of Xiamen University, Xiamen, Fujian, China.
Chunxiang AiCollege of Ocean and Earth Sciences of Xiamen University, Xiamen, Fujian, China.
Jing ZhaoCollege of Ocean and Earth Sciences of Xiamen University, Xiamen, Fujian, China. sunnyzhaoj@xmu.edu.cn.ORCID https://orcid.org/0000-0003-1895-7620

Funding

Xiamen Science and Technology Program of China 3502Z20226031Xiamen University Pingtan Institute XMUPTI2024004
6 · The paper itself

Abstract

This study applied systematic microecological method to develop multi-strain probiotics for grouper aquaculture, focusing on rational strain selection and interaction optimization. Five strains from marine source were initially screened through functional and safety assessments. Based on single-strain growth kinetics and pairwise interaction data, the generalized Lotka-Volterra model and multiple linear regression were employed to identify an optimal consortium consisting of Bacillus subtilis, Bacillus megaterium, and Bacillus velezensis (1: 1: 1), which exhibited significantly antagonism against Vibrio harveyi (p < 0.05) and higher digestive enzyme activities among thirty predefined combinations. In vitro tests using intestinal communities from the purebred grouper Epinephelus coioides (Ec) and the hybrid grouper E. fuscoguttatus ♀ × E. lanceolatus ♂ (Elf) revealed host-specific microbiome characteristics. The consortium exerted stronger effects in Elf than single-strain treatments. Supplementation of probiotic complex enhanced network stability, enriched beneficial genera (e.g., Bacillus), and suppressed opportunistic pathogens (e.g., Vibrio). Finally, in a 42-day feeding trial in juvenile Elf grouper, both single bacteria (B. velezensis at 10

Indexed as

BassProbioticsAnimal FeedAnimalsAquacultureBacillusBacillus megateriumBacillus subtilisFish DiseasesGastrointestinal MicrobiomeVibrioGeneralized Lotka-Volterra ModelGrouperGrowth performanceIntestinal microbiomeProbiotic complex

Identifiers

PMID42565884

What OpenQuestion holds

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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.