Evidence map›Paper›PMID 39962395›Full record

ArticleBMC genomics2025

Inferring Staphylococcus aureus host species and cross-species transmission from a genome-based model.

Wenyin Du, Sitong Chen, Rong Jiang, Huiliu Zhou, Yuehe Li, Dejia Ouyang, Yajie Gong, Zhenjiang Yao, Xiaohua Ye

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Wenyin DuLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Sitong ChenLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Rong JiangLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Huiliu ZhouLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Yuehe LiLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Dejia OuyangLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Yajie GongLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Zhenjiang YaoLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Xiaohua YeLaboratory of Molecular Epidemiology, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong, China. smalltomato@163.com.

Funding

Guangdong Basic and Applied Basic Research Foundation 2023A1515011583National Natural Science Foundation of China 81973069the Key Scientific Research Foundation of Guangdong Educational Committee 2022ZDZX2033
6 · The paper itself

Abstract

backgroundStaphylococcus aureus is an important pathogen that can colonize humans and various animals. However, the host-associated determinants of S. aureus remain uncertain, which leads to difficulties in inferring its host species and cross-species transmission. We performed a 3-stage genome-wide association study (discovery, confirming, and validation) to compare genetic variation between pig and human S. aureus, aiming to elucidate the host-specific genetic elements (k-mers).

resultsAfter 3-stage association analyses, we found a subset of 20 consensus-significant host-associated k-mers, which are significantly overrepresented in a specific host. Surprisingly for host prediction, both the final model with the top 5 k-mers and the simplest model with only the most important k-mer achieved a high classification accuracy of 98%, giving a simple target for predicting host species and cross-species transmission of S. aureus. The final classifier with the top 5 k-mers revealed that 97.5% of S. aureus isolates from livestock-exposed workers were predicted as pig origin, suggesting a high cross-species transmission risk. The time-based phylogeny inferred the cross-species transmission directions, indicating that ST9 can cross-species spread from animals to humans while ST59 can cross-species spread in the opposite direction.

conclusionOur findings provide novel insights into host-associated determinants and an accurate model for inferring S. aureus host species and cross-species transmission.

Indexed as

Genome, BacterialHost-Pathogen InteractionsStaphylococcal InfectionsStaphylococcus aureusAnimalsGenetic VariationGenome-Wide Association StudyHost SpecificityHumansPhylogenySpecies SpecificitySwineBacterial genomesCross-species transmissionGenome-wide association studyStaphylococcus aureus

Identifiers

PMID39962395
PMCPMC11834299

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LicenceCC BY-NC-ND
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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.