Department of Molecular Biology & Biotechnology, University of Sheffield, The Florey Institute for Host-Pathogen Interactions, Sheffield, UK.
Department of Biology & Biochemistry, University of Bath, Milner Centre for Evolution, Bath, UK.
Genome Biol. 2021 Apr 29;22(1):123. doi: 10.1186/s13059-021-02344-9.
Microbiology is at a turning point in its 120-year history. Widespread next-generation sequencing has revealed genetic complexity among bacteria that could hardly have been imagined by pioneers such as Pasteur, Escherich and Koch. This data cascade brings enormous potential to improve our understanding of individual bacterial cells and the genetic basis of phenotype variation. However, this revolution in data science cannot replace established microbiology practices, presenting the challenge of how to integrate these new techniques. Contrasting comparative and functional genomic approaches, we evoke molecular microbiology theory and established practice to present a conceptual framework and practical roadmap for next-generation microbiology.
微生物学正处于其 120 年历史的转折点。广泛应用的下一代测序技术揭示了细菌的遗传复杂性，这是巴斯德（Pasteur）、埃希氏菌（Escherich）和科赫（Koch）等先驱者几乎无法想象的。这一数据洪流为提高我们对单个细菌细胞和表型变异遗传基础的理解带来了巨大的潜力。然而，数据科学的这场革命不能取代已有的微生物学实践，这就提出了如何整合这些新技术的挑战。通过对比比较基因组学和功能基因组学方法，我们唤起了分子微生物学理论和既定实践，为下一代微生物学提出了一个概念框架和实用路线图。
