Evidence map›Paper›PMID 39294434›Full record

ArticleCommunications biology2024

Simple and accurate genomic classification model for distinguishing between human and pig Staphylococcus aureus.

Huiliu Zhou, Wenyin Du, Dejia Ouyang, Yuehe Li, Yajie Gong, Zhenjiang Yao, Minghao Zhong, Xinguang Zhong, Xiaohua Ye

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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.

Huiliu ZhouSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Wenyin DuSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Dejia OuyangSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Yuehe LiSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Yajie GongSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Zhenjiang YaoSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China.
Minghao ZhongDepartment of Prevention and Health Care, The Sixth People's Hospital of Dongguan, Dongguan, China.
Xinguang ZhongDepartment of Prevention and Health Care, The Sixth People's Hospital of Dongguan, Dongguan, China. zxgcdc@qq.com.
Xiaohua YeSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou, China. smalltomato@163.com.ORCID 0000-0003-4378-7600

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81973069 and 81602901
6 · The paper itself

Abstract

Staphylococcus aureus (S. aureus) can cause various infections in humans and animals, contributing to high morbidity and mortality. To prevent and control cross-species transmission of S. aureus, it is necessary to understand the host-associated genetic variants. We performed a two-stage genome-wide association study (GWAS) including initial screening and further validation to compare genomic differences between human and pig S. aureus, aiming to identify host-associated determinants. Our multiple GWAS analyses found six consensus significant k-mers associated with host species, providing novel genetic evidence for distinguishing human from pig S. aureus. The best k-mer predictor achieved a high classification accuracy of 98.12% on its own and had extremely high resolution similar to the SNPs-based phylogeny, offering a very simple target for predicting the cross-species transmission risk of S. aureus. The final k-mer model revealed that 90% of S. aureus isolates from farm workers were predicted as livestock origin, suggesting a high risk of cross-species transmission. Bayesian inference revealed different cross-species transmission directions, with the human-to-pig transmission for ST5 and the pig-to-human transmission for ST398. Our findings provide a simple and accurate k-mer model for identifying and predicting the cross-species transmission risk of S. aureus.

Indexed as

Genome-Wide Association StudyStaphylococcal InfectionsStaphylococcus aureusSwine DiseasesAnimalsBayes TheoremGenome, BacterialGenomicsHumansPhylogenyPolymorphism, Single NucleotideSwine

Identifiers

PMID39294434
PMCPMC11410946

What OpenQuestion holds

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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.