Evidence map›Paper›PMID 42549419›Full record

ArticlePeerJ2026

Effects of diarrhea and antibiotic-induced microbial elimination on dynamic changes in fecal microbial communities and antibiotic resistance of Hu sheep lambs (

Xi Li, Jiayi Jiang, Xianling Li, Guosheng Jian, Fengjun Li

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Article in PeerJ, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xi Li *Institute of Ecology, China West Normal University, Nanchong, Sichuan, China.
Jiayi Jiang *College of Life Science, China West Normal University, Nanchong, Sichuan, China.
Xianling LiCollege of Life Science, China West Normal University, Nanchong, Sichuan, China.
Guosheng JianCollege of Life Science, China West Normal University, Nanchong, Sichuan, China.
Fengjun LiInstitute of Ecology, China West Normal University, Nanchong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a highly reproductive meat sheep breed in China, Hu sheep is an important economic group in ruminant animal breeding. However, research on its intestinal microbiomes under the background of diarrhea and antibiotic treatment remains relatively limited. Methods: This study investigated the intestinal microbiota of Hu sheep lambs in the preliminary stage of diarrhea (group DM), the late recovery stage of diarrhea (group DL), and the healthy stage (group H). Diseased individuals (groups DM and DL) were treated with a combination of Shuanghuanglian, Cefazolin, Lincomycin, and Dexamethasone (0.2 mL dosage). To characterize the intestinal microbiota, fecal samples were collected from all groups, and metagenomic sequencing was performed. Using metagenomic binning tools and co-assembly methods, we reconstructed 482 high-quality non-redundant metagenome assembled genomes (MAGs). Results: Among these MAGs, 70% belong to the phyla Bacillota, Bacteroidota, and Pseudomonadota, highly consistent with the typical structure of intestinal microbiota in ruminants. Functional annotation revealed that the genes encoding carbohydrate-active enzymes (CAZymes) are more abundant in Bacillota and Bacteroidota, which supports the degradation and energy metabolism functions of Hu sheep on fibrous feed. During the preliminary stage of diarrhea, the virulence genes carried by symbiotic bacteria such as Lachnospiraceae, Acutalibacteraceae and Bacteroidaceae were enriched. Although diarrhea symptoms alleviated during the late recovery stage of diarrhea, the combined use of multiple antibiotics led to the continuous enrichment of antibiotic resistance genes (ARGs) related to lincosamides and cephalosporins. The average abundance of cephalosporin-related ARGs in group DL was significantly higher than that in group DM and H, indicating a risk of residual ARGs. Microbial diversity analysis showed that there was no significant overall difference in MAGs between group DM and H, but both groups showed significant differences compared to group DL, suggesting that antibiotic driven clearance of sensitive bacteria is the core driving force. Moreover, our study shows that the abundance of the zoonotic pathogens Conclusions: This study not only expands the genomic database of ruminant intestinal microorganisms but also provides a key theoretical basis for formulating intestinal microecological regulation strategies and optimizing diarrhea treatment regimens for Hu sheep.

Indexed as

Anti-Bacterial AgentsDiarrheaDrug Resistance, BacterialDrug Resistance, MicrobialFecesGastrointestinal MicrobiomeSheep DiseasesAnimalsBacteriaMetagenomeSheepAnti-Bacterial AgentsAntibiotic resistance genes (ARGs)DiarrheaHu SheepIntestinal microbiotaMetagenome assembled genomes (MAGs)

Identifiers

PMID42549419
PMCPMC13431306

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.