Large-scale genomic analysis reveals significant role of insertion sequences in antimicrobial resistance of <i>Acinetobacter baumannii</i>
The interplay between insertion sequences (ISs) and antibiotic resistance genes (ARGs) in <i>Acinetobacter baumannii</i> contributes to resistance against specific antibiotics. Conventionally, genetic variations and ARGs have been utilized for predicting resistance phenotypes, with the potential pivotal role of IS elements largely overlooked. Our study advances this approach by integrating both rule-based and machine learning models to predict AMR in <i>A. baumannii</i>. This significantly enhances the accuracy of AMR prediction, emphasizing the pivotal function of IS elements in antibiotic resistance. Notably, we uncover a series of conserved sequence patterns linking IS elements and ARGs, which outperform ARGs alone in phenotypic prediction. Our findings are crucial for bioinformatics strategies aimed at studying and tracking AMR, offering novel insights into combating the escalating AMR challenge.
Authors
- Xuming Li (ORCID: https://orcid.org/0000-0002-5049-9706)
- Kun Ye (ORCID: https://orcid.org/0000-0002-2451-1484)
- Song Li (ORCID: https://orcid.org/0000-0002-8992-487X)
- Long Hu (ORCID: https://orcid.org/0000-0003-2120-3416)
- Yuanlin Guan (ORCID: https://orcid.org/0000-0002-4839-0146)
- Zhimei Duan (ORCID: https://orcid.org/0000-0002-6076-5406)
- Qi Wang (ORCID: https://orcid.org/0000-0001-5479-1766)
- Lifeng Wang (ORCID: https://orcid.org/0000-0001-5095-6842)
- Ye Zhang (ORCID: https://orcid.org/0000-0002-7376-6547)
- Han Xia (ORCID: https://orcid.org/0000-0002-5179-0255)
- Lixin Xie (ORCID: https://orcid.org/0000-0002-1091-2041)
- Qiqi Shi (ORCID: https://orcid.org/0000-0002-0613-5585)
- Fei Xie (ORCID: https://orcid.org/0000-0003-3674-8216)
- Jiyong Yang (ORCID: https://orcid.org/0000-0002-1194-175X)
- Yanhua Wen (ORCID: https://orcid.org/0009-0002-6867-4602)
Institutions
- Chinese PLA General Hospital (CN)
- BrioBiotech (United States) (US)
Publication Details
- Journal
- mBio
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1128/mbio.02852-24
- Citations
- 6
- Primary Topic
- Antibiotic Resistance in Bacteria
- Type
- article
- Field-Weighted Citation Impact
- 3.55
Funders
- National Natural Science Foundation of China