Rapid identification of Acinetobacter baumannii using novel specific molecular targets derived from pan-genome analysis and its clinical application

<i>Acinetobacter baumannii</i> is a pathogen capable of causing severe hospital-acquired infections such as ventilator-associated pneumonia and bacteremia, accounting for over 80% of nosocomial infections. Current nucleic acid tests (NATs) for <i>A. baumannii</i> suffer from limitations in specificity and sensitivity due to reliance on suboptimal targets. Therefore, this study aimed to identify novel, highly specific molecular targets for <i>A. baumannii</i> NATs using pan-genome analysis. A total of 9 specific molecular targets for <i>A. baumannii</i> were screened from 642 genome sequences by pan-genome analysis: <i>outO, ureE, rplY, bioF, menH_3, hemW, paaF_1, smpB and ppaX</i>. These specific species targets have been verified by BLAST and PCR of non-target strains to have 100% specificity for <i>A. baumannii</i>. The specificity of the 9 target genes was verified by PCR, and 3 pairs of different PCR primers were designed for each target gene to determine the best sensitivity of PCR method for each target. Corresponding qPCR detection methods of 9 targets was also established and that of <i>ureE</i> was screened with the lowest detection limit of 10<sup>-7</sup> ng/μL. The qPCR method based on the <i>ureE</i> gene can achieve rapid, sensitive and accurate detection of <i>A. baumannii</i> in actual samples with interference from non-target bacteria. After verification of 23 samples, the qPCR method based on the mined target met the requirements in sensitivity, specificity and efficiency, and was consistent with the national verification method. ‌These results confirm that novel pan-genome targets with excellent generalizability among <i>A. baumannii</i> strains enhance detection accuracy in hospital environments, bringing hope for rapid clinical identification, timely interventions, and reduced mortality.

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Journal
Frontiers in Microbiology
Published
2025-10-29
DOI
https://doi.org/10.3389/fmicb.2025.1669811
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.00

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article

Rapid identification of Acinetobacter baumannii using novel specific molecular targets derived from pan-genome analysis and its clinical application

Xiaoqi Yi, Huayang Wang, Pengliang Zhang, Shenghang Zhang et al.
Frontiers in Microbiology
Antibiotic Resistance in Bacteria
article

Rapid identification of Acinetobacter baumannii using novel specific molecular targets derived from pan-genome analysis and its clinical application

Xiaoqi Yi, Huayang Wang, Pengliang Zhang, Shenghang Zhang, Yuanyuan Ren, Shuang Chen, Xinran Xiang, Ju Chen, Yu Chen, Jianying Zhang
article en

Abstract

<i>Acinetobacter baumannii</i> is a pathogen capable of causing severe hospital-acquired infections such as ventilator-associated pneumonia and bacteremia, accounting for over 80% of nosocomial infections. Current nucleic acid tests (NATs) for <i>A. baumannii</i> suffer from limitations in specificity and sensitivity due to reliance on suboptimal targets. Therefore, this study aimed to identify novel, highly specific molecular targets for <i>A. baumannii</i> NATs using pan-genome analysis. A total of 9 specific molecular targets for <i>A. baumannii</i> were screened from 642 genome sequences by pan-genome analysis: <i>outO, ureE, rplY, bioF, menH_3, hemW, paaF_1, smpB and ppaX</i>. These specific species targets have been verified by BLAST and PCR of non-target strains to have 100% specificity for <i>A. baumannii</i>. The specificity of the 9 target genes was verified by PCR, and 3 pairs of different PCR primers were designed for each target gene to determine the best sensitivity of PCR method for each target. Corresponding qPCR detection methods of 9 targets was also established and that of <i>ureE</i> was screened with the lowest detection limit of 10<sup>-7</sup> ng/μL. The qPCR method based on the <i>ureE</i> gene can achieve rapid, sensitive and accurate detection of <i>A. baumannii</i> in actual samples with interference from non-target bacteria. After verification of 23 samples, the qPCR method based on the mined target met the requirements in sensitivity, specificity and efficiency, and was consistent with the national verification method. ‌These results confirm that novel pan-genome targets with excellent generalizability among <i>A. baumannii</i> strains enhance detection accuracy in hospital environments, bringing hope for rapid clinical identification, timely interventions, and reduced mortality.

Frontiers in MicrobiologyVol. 16
Fujian Medical University (CN), First Affiliated Hospital of Henan University of Science and Technology (CN), Huaiyin Normal University (CN)
Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 74%
Antibiotic Resistance in Bacteria
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