Evidence map›Paper›PMID 42068426›Full record

ArticleWorld journal of microbiology & biotechnology2026

Gut microbiota and growth differentiation in koi carp with identification of a growth promoting Exiguobacterium sp. strain WY(Y)3.

Rui-Qi Wang, Ahmed E Elshafey, Zhuo-Tao Liu, Bin Wen, Jian-Zhong Gao, Zai-Zhong Chen

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
–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

6 authors.

Rui-Qi Wang *Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China.
Ahmed E Elshafey *Key Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China.
Zhuo-Tao LiuKey Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China.
Bin WenKey Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China.
Jian-Zhong GaoKey Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China. jzhgao@shou.edu.cn.
Zai-Zhong ChenKey Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, 201306, China. chenzz@shou.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discovering specific microbial markers and probiotics related to rapid growth offers a route for developing targeted feed solutions. This study was conducted in two phases: Phase I: Using 16 S rRNA sequencing to characterize the intestinal landscape and to discover a significant taxonomic shift in koi (Cyprinus carpio) that grow fast (FG) and grow slow (SG). Phase II: A dietary intervention trial was implemented across four experimental cohorts: a negative control (NC) fed a basal diet and three treatment groups (C1, C2, and C3) supplemented with Exiguobacterium sp. strain WY(Y)3 at escalating concentrations of 1 × 10

Indexed as

CarpsExiguobacteriumGastrointestinal MicrobiomeAnimal FeedAnimalsBacteriaDNA, BacterialPhylogenyProbioticsRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16SCyprinus carpioExiguobacterium sp.Gut microbiotaMetabolismProbiotic

Identifiers

PMID42068426

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.