肺炎衣原体的比较和系统基因组分析揭示了呼吸分离株中独特的碳水化合物活性酶家族（GT5）

IF 2.6 4区医学 Q3 INFECTIOUS DISEASES

Infection Genetics and Evolution Pub Date : 2025-08-21 DOI:10.1016/j.meegid.2025.105813

Susanthika Jayachandiran, Roja Suresh, Ramasamy Dhamodharan

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引用次数: 0

摘要

肺炎衣原体是在人类和动物中发现的一种强制性细胞内病原体。了解基因组多样性对揭示其致病机制和传播动力学至关重要。本研究对14株肺炎原体全基因组进行了功能多样性分析。考拉分离物LPCoLN在系统发育上是独特的，在分析的菌株中显示出最少的辅助基因和最高的独特或缺失基因的结合。功能注释表明，LPCoLN与人类呼吸菌株AR39之间的某些代谢途径是相同的，这很可能是由于AR39中存在噬菌体相关元件。GT5 CAZyme家族的存在与呼吸源菌株显著相关，表明其在呼吸适应和致病策略（包括组织定植、免疫逃避和生态位特异性持久性）中具有潜在作用。GT5 CAZymes与呼吸源菌株之间的强相关性突出了它们作为诊断标记和治疗靶点的潜力。

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Comparative and phylogenomic analysis of Chlamydia pneumoniae reveals unique carbohydrate active enzyme family (GT5) among respiratory isolates

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Comparative and phylogenomic analysis of Chlamydia pneumoniae reveals unique carbohydrate active enzyme family (GT5) among respiratory isolates

Chlamydia pneumoniae is an obligatory intracellular pathogen found in humans and animals. Understanding the genomic diversity is crucial for unravelling its pathogenic mechanisms and transmission dynamics. In this study, 14 complete genomes of C. pneumoniae strains were compared for functional diversity analysis. The koala isolate LPCoLN appears as a phylogenetically distinct, showing the fewest accessory genes and the highest incorporation of unique or absent genes among the strains analyzed. Functional annotation indicates that certain metabolic pathways between the LPCoLN and the human respiratory strain AR39 were the same, which is most likely due to phage-associated elements present in AR39. The presence of the GT5 CAZyme family is significantly associated with strains of respiratory origin, suggesting a potential role in respiratory adaptation and pathogenic strategies, including tissue colonization, immune evasion, and niche-specific persistence. The strong association between GT5 CAZymes and respiratory-origin strains highlights their potential as diagnostic markers and therapeutic targets.

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来源期刊

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 .