中耳炎后假单胞菌PA-NS83的基因组分析:泰国首个临床分离株及其比较基因组分析

IF 2.6 4区 医学 Q3 INFECTIOUS DISEASES
Thunchanok Yaikhan , Kamonnut Singkhamanan , Sirikan Suwannasin , Thitaporn Dechathai , Mingkwan Yingkajorn , Sarunyou Chusri , Komwit Surachat
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引用次数: 0

摘要

中耳炎后假单胞菌最初是从人中耳液中分离出来的,后来在环境和临床样本中都检测到,成为一种与慢性中耳炎和其他感染有关的机会性病原体。本研究报道了泰国首个临床分离的中耳炎分枝杆菌PA-NS83,并对其进行了全面的基因组鉴定。与37个公开的中耳炎分枝杆菌基因组的全基因组测序和比较分析显示,PA-NS83具有多种抗菌素耐药性(AMR),其中PA-NS83携带AMR基因,在环境分离株中常见。毒力基因分析确定了与生物膜形成、运动、分泌系统和铁获取相关的关键决定因素,强调了其潜在的致病性。泛基因组分析表明,PA-NS83具有丰富的基因组多样性,与从聚苯乙烯废物中分离的M. otitidis CSMC7具有密切的聚类关系。然而,PA-NS83含有419个独特的基因,包括毒力相关基因和CRISPR-Cas系统,表明其适合临床环境。这些发现强调了中耳炎支原体的遗传可塑性及其在人类感染中的潜在作用。持续的基因组监测和功能研究对于进一步评估其临床意义和耐药机制至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genomic insights into Metapseudomonas otitidis PA-NS83: The first clinical isolate from Thailand and its comparative genomic analysis
Metapseudomonas otitidis was first isolated from human middle ear fluid and has since been detected in both environmental and clinical samples, emerging as an opportunistic pathogen linked to chronic otitis media and other infections. This study reports the first clinical isolate of M. otitidis from Thailand, PA-NS83, and presents a comprehensive genomic characterization. Whole-genome sequencing and comparative analysis with 37 publicly available M. otitidis genomes revealed a diverse antimicrobial resistance (AMR) profile, with PA-NS83 carrying AMR genes commonly found in environmental isolates. Virulence gene analysis identified key determinants associated with biofilm formation, motility, secretion systems, and iron acquisition, highlighting its potential pathogenicity.
Pan-genome analysis demonstrated substantial genomic diversity, with PA-NS83 clustering closely with M. otitidis CSMC7, an environmental isolate from polystyrene waste. However, PA-NS83 harbored 419 unique genes, including virulence-associated genes and a CRISPR-Cas system, suggesting adaptation to clinical settings. These findings underscore the genetic plasticity of M. otitidis and its potential role in human infections. Continued genomic surveillance and functional studies are essential to further assess its clinical significance and antimicrobial resistance mechanisms.
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来源期刊
Infection Genetics and Evolution
Infection Genetics and Evolution 医学-传染病学
CiteScore
8.40
自引率
0.00%
发文量
215
审稿时长
82 days
期刊介绍: (aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID) Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance. However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors. Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases. Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .
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