Evidence map›Paper›PMID 38204126›Full record

ArticleApplied microbiology and biotechnology2024

Microbiome analysis reveals the intestinal microbiota characteristics and potential impact of Procambarus clarkii.

Ming Xu, Fulong Li, Xiaoli Zhang, Baipeng Chen, Yi Geng, Ping Ouyang, Defang Chen, Liangyu Li, Xiaoli Huang

Open access · goldAbstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Impact of DietaryAnimals : an open access journal from MDPI · 2026
    Article
  3. Article
  4. Article
  5. 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

9 authors at 2 institutions in 1 country.

Ming Xu *Department of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Fulong Li *Department of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Xiaoli ZhangFishery Research Institute, Chengdu Academy of Agriculture and Forestry Sciences, Wenjiang, Sichuan, China.
Baipeng ChenDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Yi GengDepartment of Basic Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Ping OuyangDepartment of Basic Veterinary Medicine, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Defang ChenDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
Liangyu LiFishery Research Institute, Chengdu Academy of Agriculture and Forestry Sciences, Wenjiang, Sichuan, China.
Xiaoli HuangDepartment of Aquaculture, College of Animal Science & Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China. hxlscau@126.com.ORCID http://orcid.org/0000-0002-6438-5435
Sichuan Agricultural University · CNChengdu Academy of Agriculture and Forestry Sciences · CN

Funding

Chengdu Science and Technology Program 2022-YF05-00636-SNChengdu Science and Technology Program 2022-YF09-00040-SNSichuan Province Science and Technology Support Program No. 2022NZZJ0014
6 · The paper itself

Abstract

The intestinal microbiota interacts with the host and plays an important role in the immune response, digestive physiology, and regulation of body functions. In addition, it is also well documented that the intestinal microbiota of aquatic animals are closely related to their growth rate. However, whether it resulted in different sizes of crayfish in the rice-crayfish coculture model remained vague. Here, we analyzed the intestinal microbiota characteristics of crayfish of three sizes in the same typical rice-crayfish coculture field by high-throughput sequencing technology combined with quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme activity, investigating the relationship between intestinal microbiota in crayfish and water and sediments. The results showed that the dominant intestinal microbiota of crayfish was significantly different between the large size group (BS), normal size group (NS), and small size group (SS), where Bacteroides and Candidatus_Bacilloplasma contributed to the growth of crayfish by facilitating food digestion through cellulolysis, which might be one of the potential factors affecting the difference in sizes. Follow-up experiments confirmed that the activity of lipase (LPS) and protease was higher in BS, and the relative expression of development-related genes, including alpha-amylase (α-AMY), myocyte-specific enhancer factor 2a (MEF2a), glutathione reductase (GR), chitinase (CHI), and ecdysone receptor (EcR), in BS was significantly higher than that in SS. These findings revealed the intestinal microbiota characteristics of crayfish of different sizes and their potential impact on growth, which is valuable for managing and manipulating the intestinal microbiota in crayfish to achieve high productivity in practice. KEY POINTS: • Significant differences in the dominant microflora of BS, NS, and SS in crayfish. • Cellulolysis might be a potential factor affecting different sizes in crayfish. • Adding Bacteroides and Candidatus_Bacilloplasma helped the growth of crayfish.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaOryzaAnimalsAstacoideaBacteroidesSeafoodCrayfishDigestionHigh-throughput sequencingIntestinal microbiotaqRT-PCR

Identifiers

PMID38204126
PMCPMC10781845
OpenAlexW4390701227

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.