Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, KAIST, Daejeon 34141, Republic of Korea.
Systems Biology and Medicine Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Plus Program), KAIST, Daejeon 34141, Republic of Korea; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, KAIST, Daejeon 34141, Republic of Korea; BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, Daejeon 34141, Republic of Korea.
Curr Opin Biotechnol. 2020 Jun;63:54-62. doi: 10.1016/j.copbio.2019.12.001. Epub 2019 Dec 28.
Biological knowledge accumulated over the decades and advances in computational methods have facilitated the implementation of pan-genome analysis that aims at better understanding of genotype-phenotype associations of a specific group of organisms. Pan-genome analysis has been shown to be an effective approach to better understand a clade of pathogenic bacteria because it helps developing various and tailored therapeutic strategies on the basis of their biological similarities and differences. Here, we review recent progress in the pan-genome analysis of pathogenic bacteria. In particular, we focus on computational tools that allow streamlined pan-genome analysis. Also, various applications of pan-genome analysis including those relevant to devising strategies for the prevention and treatment of pathogenic bacteria are reviewed.
几十年来积累的生物学知识和计算方法的进步促进了泛基因组分析的实施，旨在更好地理解特定生物群体的基因型-表型相关性。泛基因组分析已被证明是一种有效的方法，可以更好地理解致病性细菌的一个分支，因为它可以根据它们的生物学相似性和差异，帮助制定各种针对性的治疗策略。在这里，我们回顾了致病性细菌的泛基因组分析的最新进展。特别是，我们关注允许简化泛基因组分析的计算工具。此外，还回顾了泛基因组分析的各种应用，包括与设计致病性细菌的预防和治疗策略相关的应用。
