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Population Genomics: Microorganisms

  • Martin F. Polz
  • Om P. Rajora

Part of the Population Genomics book series (POGE)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Concepts and Approaches

    1. Front Matter
      Pages 1-1
    2. Philip Arevalo, David VanInsberghe, Martin F. Polz
      Pages 77-96
  3. Population Genomics of Bacteria and Archaea

  4. Population Genomics of Fungi

    1. Front Matter
      Pages 157-157
    2. Daniel Raymond Kollath, Marcus de Melo Teixeira, Bridget Marie Barker
      Pages 159-206
    3. Mathieu Hénault, Chris Eberlein, Guillaume Charron, Éléonore Durand, Lou Nielly-Thibault, Hélène Martin et al.
      Pages 207-230
  5. Population Genomics of Viruses

    1. Front Matter
      Pages 231-231
    2. Israel Pagán, Fernando García-Arenal
      Pages 233-265
    3. Fernando González-Candelas, Juan Ángel Patiño-Galindo, Carlos Valiente-Mullor
      Pages 267-296
    4. Harald Brüssow
      Pages 297-334
  6. Back Matter
    Pages 335-344

About this book

Introduction

Population genomics is a rapidly emerging field that has the potential to transform our understanding of how evolutionary forces shape genomic diversity among microbes.  There have already been considerable advances in understanding gene flow and spread of adaptive traits, and in linking epidemiology with evolutionary biology. The current challenge is to find unifying evolutionary principles for organisms that display a wide range of reproductive biology – from highly clonal to promiscuous – and for which the vast majority have eluded cultivation.  This requires interdisciplinary approaches that incorporate novel computational tools, testing of existing and novel population genetic models, and creative new ways of linking genetic diversity to ecological factors. This pioneering book will discuss the advances made and promises of population genomics in microorganisms, outlining some of the key theoretical and practical challenges for microbial population genomics, including defining and identifying populations, genomics-based reverse ecology and building appropriate tools to understand microbes in a variety of complex environments.


Keywords

Population structure Speciation Adaptation Epidemiology Evolution

Editors and affiliations

  • Martin F. Polz
    • 1
  • Om P. Rajora
    • 2
  1. 1.Department of Civil and Environmental EngineeringMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Faculty of Forestry and Environmental ManagementUniversity of New BrunswickFrederictonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-04756-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-030-04755-9
  • Online ISBN 978-3-030-04756-6
  • Series Print ISSN 2364-6764
  • Series Online ISSN 2364-6772
  • Buy this book on publisher's site