Evidence map›Paper›PMID 40779185›Full record

ArticleVeterinary research communications2025

Comparative genomic analysis of Paraclostridium bifermentans in the intestinal microbiome of Hu sheep.

Ziyi Liu, Mingxing He, Qiuyun Zhao, Ying Tang, Chenggang Xu

Abstract read
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In one paragraph

Article in Veterinary research communications, 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

5 authors.

Ziyi Liu *Key Laboratory of Applied Biotechnology on Animal Science & Veterinary Medicine of Zhejiang Province, Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine of Zhejiang A&F University, 666 Wusu Street, Lin'an District, Hangzhou, 311300, Zhejiang Province, China.
Mingxing He *Key Laboratory of Applied Biotechnology on Animal Science & Veterinary Medicine of Zhejiang Province, Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine of Zhejiang A&F University, 666 Wusu Street, Lin'an District, Hangzhou, 311300, Zhejiang Province, China.
Qiuyun ZhaoKey Laboratory of Applied Biotechnology on Animal Science & Veterinary Medicine of Zhejiang Province, Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine of Zhejiang A&F University, 666 Wusu Street, Lin'an District, Hangzhou, 311300, Zhejiang Province, China.
Ying TangKey Laboratory of Applied Biotechnology on Animal Science & Veterinary Medicine of Zhejiang Province, Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine of Zhejiang A&F University, 666 Wusu Street, Lin'an District, Hangzhou, 311300, Zhejiang Province, China.
Chenggang XuKey Laboratory of Applied Biotechnology on Animal Science & Veterinary Medicine of Zhejiang Province, Zhejiang Engineering Research Center for Veterinary Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Belt and Road International Joint Laboratory for One Health and Food Safety, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Veterinary Medicine of Zhejiang A&F University, 666 Wusu Street, Lin'an District, Hangzhou, 311300, Zhejiang Province, China. xucg@zafu.edu.cn.

Funding

National Natural Science Foundation of China 32170053Science Development Foundation of Zhejiang A&F University 2024LFR030Zhejiang Provincial Natural Science Foundation of China LQN25C180008
6 · The paper itself

Abstract

The emergence of Paraclostridium bifermentans as a human pathogen has garnered increasing attention. However, due to the challenges associated with isolation, there remains a scarcity of relevant clinical isolates and genomic information. Here, we isolated two P. bifermentans strains PB29 and PB30 from the fecal samples of Hu sheep, characterized the virulence phenotypes, and conducted a comparative genomic analysis to illustrate the evolutionary pathway and distribution of carbohydrate active enzymes (CAZymes). The results indicated that both isolates exhibited substantial phospholipase C and hemolytic activities, while sharing a close phylogenetic relationship. Moreover, strains of P. bifermentans belonging to the same evolutionary lineage as PB29 and PB30 harbor a greater number of virulence factors than strains from other lineages, with the majority originating from the intestine environment. This observation suggests that this lineage has the potential to clonally spread within the gut and evolve into a representative pathogen. Furthermore, P. bifermentans commonly shares mucin degradation carbohydrate hydrolases (GHs) GH2, GH20, and GH73. They also exhibit conserved CAZymes, such as GT4, GT5, CE4, and CE5, which enable them to efficiently metabolize complex carbohydrates and adapt to diverse ecological niches. Overall, these findings offer valuable genomic insights into the potential role of P. bifermentans as an intestinal pathogen.

Indexed as

Gastrointestinal MicrobiomeGenome, BacterialGram-Negative Bacterial InfectionsSheep DiseasesAnimalsFecesGenomicsPhylogenySheepGenomic analysisHu sheepIntestinal pathogenParaclostridium bifermentans

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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.