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008 200430s2020 sz | s |||| 0|eng d
020 _a9783030382810
_9978-3-030-38281-0
024 7 _a10.1007/978-3-030-38281-0
_2doi
050 4 _aQH434
072 7 _aPSG
_2bicssc
072 7 _aPSAK
_2bicssc
072 7 _aSCI045000
_2bisacsh
072 7 _aPSG
_2thema
072 7 _aPSAK
_2thema
082 0 4 _a579.135
_223
245 1 4 _aThe Pangenome
_h[electronic resource] :
_bDiversity, Dynamics and Evolution of Genomes /
_cedited by Hervé Tettelin, Duccio Medini.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXIV, 307 p. 47 illus., 43 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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.
506 0 _aOpen Access
520 _aThis 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.
650 0 _aMicrobial genetics.
650 0 _aEvolution (Biology).
650 0 _aPopulation genetics.
650 0 _aMicrobial ecology.
650 0 _aMedical genetics.
650 0 _aGenetics.
650 1 4 _aMicrobial Genetics.
650 2 4 _aEvolutionary Biology.
650 2 4 _aPopulation Genetics.
650 2 4 _aMicrobial Ecology.
650 2 4 _aMedical Genetics.
650 2 4 _aGenetics and Genomics.
700 1 _aTettelin, Hervé.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMedini, Duccio.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030382803
776 0 8 _iPrinted edition:
_z9783030382827
776 0 8 _iPrinted edition:
_z9783030382834
856 4 0 _uhttps://doi.org/10.1007/978-3-030-38281-0
912 _aZDB-2-SBL
912 _aZDB-2-SXB
912 _aZDB-2-SOB
999 _c49
_d49