Evidence map›Paper›PMID 40334216›Full record

ArticlePloS one2025

Effect of intestinal microbiota on growth rate of Babylonia areolata.

Wang Zhao, Xingmei Huang, Haipeng Qin, Zhengyi Fu, Rui Yang, Zhenghua Deng, Jinyong Zhu, Danli Wang, Zhongming Zheng

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Wang ZhaoSchool of Marine Sciences, Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0002-8827-5265
Xingmei HuangKey Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute, Sanya, China.
Haipeng QinAgro-Tech Extension Center of Guangdong Province, Guangzhou, China.
Zhengyi FuKey Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute, Sanya, China.
Rui YangKey Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute, Sanya, China.
Zhenghua DengKey Laboratory of Efficient Utilization and Processing of Marine Fishery Resources of Hainan Province, Sanya Tropical Fisheries Research Institute, Sanya, China.
Jinyong ZhuSchool of Marine Sciences, Ningbo University, Ningbo, China.
Danli WangSchool of Marine Sciences, Ningbo University, Ningbo, China.
Zhongming ZhengSchool of Marine Sciences, Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To analyze the differences in the intestinal microbiota structure of different growth rates of Babylonia areolata, the sequencing of the V3-V4 regions of 16S rDNA from intestinal samples was performed. Evaluation of the richness of microbiota of the samples by calculating Shannon index, Simpson index and Chao1 index showed that the community diversity and richness of the intestinal microbiota of B. areolata changed for different growth rates. There are differences in the diversity of the intestinal microbiota in the fast growth rate (FG) and slow growth rate (SG) groups. A total of 315,294 reads of 16S rDNA were obtained from 6 samples, and 17 phyla were identified by RDP classifier. After data standardization, the dominant phyla from FG and SG were Firmicutes, Proteobacteria, and Bacteroidetes, 50.23%, 39.31% and 8.39% in the FG group, and 79.97%, 12.05% and 6.21% in the SG group, respectively. The distribution of the intestinal microbiota in the FG group is relatively uniform, but the Mycoplasma in the SG group is the dominant genus accounting for about 63%. At the genus level, compared to the SG group, the FG group exhibited a significant increase in the abundance of Exiguobacterium, Vibrio, and Escherichia-Shigella, while the abundance of Mycoplasma, Citrobacter, and Phascolaretobacterum was significantly reduced. These findings provide novel information for studying the differences in the intestinal microbiota of B. areolata with different growth rates, and a foundation for future research on intestinal bacterial factors that may affect the growth and cultivation of B. areolata.

Indexed as

Gastrointestinal MicrobiomeAnimalsBacteriaBiodiversityPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID40334216
PMCPMC12058129

What OpenQuestion 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 OpenQuestion graph.