Evidence map›Paper›PMID 41538096›Full record

ArticleMarine biotechnology (New York, N.Y.)2026

Comparison of Intestinal Microflora of Litopenaeus vannamei with High and Low Survival Rates.

Kun Ouyang, Yang Yang, Shumeng Wang, Jingshen Chen, Jiatao Liu, Hailong Wang, Yuxuan Wang, Junyi Luo, Jiajie Sun, Qianyun Xi and 4 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

14 authors.

Kun Ouyang *College of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Yang Yang *College of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Shumeng Wang *College of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Jingshen ChenCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Jiatao LiuCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Hailong WangCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Yuxuan WangCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Junyi LuoCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Jiajie SunCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Qianyun XiCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China.
Yuping SunKey Laboratory of Animal Nutrition and Feed Science in South China, Ministry of Agriculture in Rural Affairs, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Yongguo SiLiyang Aquatic Science and Technology Co., Ltd, Guangzhou, 510080, China.
Ting ChenCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China. allinchen@scau.edu.cn.
Yongliang ZhangCollege of Animal Science, Guangdong Province Key Laboratory of Animal Nutritional Regulation, National Engineering Research Center for Breeding Swine Industry, State Key Laboratory of Livestock and Poultry Breeding, South China Agricultural University, Guangzhou, 510642, Guangdong, China. zhangyl@scau.edu.cn.

Funding

National Key Research and Development Program of China 2022YFD1300401National Key Research and Development Program of China 2022YFD1300904National Natural Science Foundation of China 32072812Natural Science Foundation of Guangdong Province 2023A1515012127
6 · The paper itself

Abstract

This study aimed to investigate the relationship between the survival rate of Litopenaeus vannamei (L. vannamei) and its gut microbiota. The experiment was divided into two groups: the high survival group (PC, survival rate was 97.57%) and the low survival group (NC, survival rate was 25.79%). 15 healthy individuals were randomly selected from each group, and their intestinal contents were collected. Using the Illumina Hiseq high-throughput sequencing to explore the diversity of microbial structure and potential function in the gut of shrimp. The results showed that the alpha diversity and relative abundance of Bacteroidetes, Cyanobacteria, Mucoromycota, Ascomycota, Robiginitalea, Algoriphagus, Roseobacter, Muricauda, and Ruegeria were significantly increased in the high survival rate group, and the intestinal microorganisms affect the health of L. vannamei through multiple metabolic pathways. This experiment further explored the relationship between the survival rate of L. vannamei and intestinal microorganisms, laying a theoretical foundation for strategies to improve its survival rate.

Indexed as

Gastrointestinal MicrobiomePenaeidaeAnimalsBacteriaIntestinesRNA, Ribosomal, 16SRNA, Ribosomal, 16SIntestinal microfloraLitopenaeus vannameiSurvival rates

Identifiers

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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.