Table of contents
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
Bibliographic information
- Book Title Population Genomics: Microorganisms
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Editors
Martin F. Polz
Om P. Rajora
- Series Title Population Genomics
- Series Abbreviated Title Population Genomics
- 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 Biomedical and Life Sciences (R0)
- Hardcover ISBN 978-3-030-04755-9
- eBook ISBN 978-3-030-04756-6
- Series ISSN 2364-6764
- Series E-ISSN 2364-6772
- Edition Number 1
- Number of Pages XIII, 344
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
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Topics
Microbial Genetics and Genomics
Microbial Ecology
Plant Genetics and Genomics
Bacteriology
Bioinformatics
Human Genetics
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