TY - GEN AU - Tettelin,Hervé AU - Medini,Duccio AU - Tettelin,Hervé AU - Medini,Duccio TI - The Pangenome : Diversity, Dynamics and Evolution of Genomes SN - 978-3-030-38281-0 PY - 2020/// CY - Cham PB - Springer Nature KW - Microbiology (non-medical) KW - bicssc KW - Evolution KW - Applied mathematics KW - Ecological science, the Biosphere KW - Medical genetics KW - Genetics (non-medical) KW - Microbial Genetics and Genomics KW - Evolutionary Biology KW - Genetics and Population Dynamics KW - Microbial Ecology KW - Human Genetics KW - Genetics and Genomics KW - Comparative genomics KW - Metagenomics KW - Microbial Population Analysis KW - Pangenome Profile KW - Supra-Genome Analysis KW - Adaptive Evolution KW - Computational Tools KW - Bioinformatic Genomics KW - Core Dispensable Genome KW - Selection, Recombination, Composition KW - Acquired Resistance KW - Bacterial Species Concept KW - Genomic Diversity KW - Bacterial Ecology, Microevolution KW - Open Access KW - Pan-metagenomics KW - Pan-microbiomics KW - Pan-epigenome KW - Gene Transfer KW - Pan-phenomes N1 - Open Access N2 - 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 book’s 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 UR - https://library.oapen.org/bitstream/20.500.12657/37707/1/2020_Book_ThePangenome.pdf UR - https://directory.doabooks.org/handle/20.500.12854/31839 ER -