BookHervé Tettelin, Duccio Medini, editors.
Summary: This open access book offers the first comprehensive account of the pan-genome concept and its manifold implications. The realization that the genetic repertoire of a biological species always encompasses more than the genome of each individual is one of the earliest examples of big data in biology that opened biology to the unbounded. The study of genetic variation observed within a species challenges existing views and has profound consequences for our understanding of the fundamental mechanisms underpinning bacterial biology and evolution. The underlying rationale extends well beyond the initial prokaryotic focus to all kingdoms of life and evolves into similar concepts for metagenomes, phenomes and epigenomes. The books respective chapters address a range of topics, from the serendipitous emergence of the pan-genome concept and its impacts on the fields of microbiology, vaccinology and antimicrobial resistance, to the study of microbial communities, bioinformatic applications and mathematical models that tie in with complex systems and economic theory. Given its scope, the book will appeal to a broad readership interested in population dynamics, evolutionary biology and genomics.
Contents:
Part 1: Genomic diversity and the pan-genome concept
Chapter 1: The pan-genome: a data-drivendiscovery in biology
Chapter 2: The prokaryotic species concept and challenges
Chapter 3: Bacterial guide on how to design a diversified gene portfolio
Chapter 4: A review of pan-genome tools and recent studies
Part 2: Evolutionary biology of pan-genomes
Chapter 5: Structure and dynamics of bacterial populations: pan-genome ecology
Chapter 6: Bacterial microevolution and the pan-genome
Chapter 7: Pan-genomes and selection: the public goods hypothesis
Chapter 8: A pan-genomic perspective on the emergence, maintenance and predictability of antibiotic resistance
Part 3: Pan-genomics: an open, evolving discipline
Chapter 9: Metapangenome: at the crossroad of pangenomics and metagenomics
Chapter 10: Pan-genome flux balance analysis towards pan-phenomes
Chapter 11: Bacterial epigenomics: epigenetics in the age of population genomics
Chapter 12: Eukaryotic pan-genomes
Chapter 13: Computational strategies for eukaryotic pan-genome analyses.