牛乳腺炎微生物组组成和基因组功能潜力的动态变化

M. N. Hoque, M. Sultana, M. Hossain
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引用次数: 5

摘要

我们对先前发表的题为“牛乳腺炎进展和基因组决定因素的微生物组动力学”的研究进行了简要回顾,在该研究中,我们报道了牛乳腺炎不同病理生理状态下微生物组组成的可能动态变化及其基因组功能潜力。利用先进的全宏基因组测序(WMS)方法,我们报道了临床乳腺炎(CM)、复发性乳腺炎(RCM)、亚临床乳腺炎(SCM)和健康乳腺炎(H)乳腺炎宏基因组(CM>H>RCM>SCM)中微生物组组成和丰度的明显差异。细菌是主要的微生物领域(相对丰度>99.0%),其次是古细菌和病毒。在四个宏基因组中,细菌组成的动态变化在数字上占主导地位,其中67.19%的细菌包括以前未报道的乳腺炎宏基因组中的机会性菌株。本研究还报道了这些宏基因组中微生物组的独特和共享分布。除了微生物组的组成和多样性外,该研究还报道了CM、RCM、SCM和h -微生物组中几种毒力因子相关基因(vfg)和抗生素耐药基因(AGRs)的关联。功能注释检测到与不同乳腺炎发作相关的几种代谢途径。因此,已发表的数据显示,不同类型乳腺炎中微生物组组成的变化、VFGS、ARGs和基因组功能潜力的同步评估有助于开发基于微生物组的乳腺炎诊断和治疗方法,并对减少该疾病的经济影响具有重要意义
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Changes in Microbiome Composition and Genomic Functional Potentials in Bovine Mastitis
We provide a mini review on the previously published study entitled “Microbiome Dynamics of Bovine Mastitis Progression and Genomic Determinants”, where we reported the possible dynamic changes in microbiome compositions favored by their genomic functional potentials in different pathophysiological states of bovine mastitis. Using the cutting-edge whole metagenome sequencing (WMS) approach, we reported distinct variation in microbiome composition and abundances across the clinical mastitis (CM), recurrent clinical mastitis (RCM), subclinical mastitis (SCM) and healthy (H) milk metagenomes (CM>H>RCM>SCM). Bacteria were the predominating microbial domain (>99.0% relative abundance) followed by archaea and viruses. Dynamic changes in bacteriome composition across the four metagenomes were numerically dominated by 67.19% inclusion of previously unreported opportunistic strains in mastitis metagenomes. This study also reported the unique and shared distribution of microbiomes across these metagenomes. In addition to microbiome composition and diversity, the study reported the association of several virulence factors-associated genes (VFGs), and antibiotic resistant genes (AGRs) in CM, RCM, SCM, and H-microbiomes. Functional annotation detected several metabolic pathways related to different episodes of mastitis. Therefore, the published data revealed that changes in microbiome composition in different types of mastitis, concurrent assessment of VFGS, ARGs, and genomic functional potentials can contribute to develop microbiome-based diagnostics, and therapeutics for mastitis, and carries significant implications on curtailing the economic fallout from this disease
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