9783030047559-3030047555-Population Genomics: Microorganisms

Population Genomics: Microorganisms

ISBN-13: 9783030047559
ISBN-10: 3030047555
Edition: 1st ed. 2019
Author: Martin F. Polz, Om P. Rajora
Publication date: 2019
Publisher: Springer
Format: Hardcover 357 pages
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ISBN-13: 9783030047559
ISBN-10: 3030047555
Edition: 1st ed. 2019
Author: Martin F. Polz, Om P. Rajora
Publication date: 2019
Publisher: Springer
Format: Hardcover 357 pages

Summary

Population Genomics: Microorganisms (ISBN-13: 9783030047559 and ISBN-10: 3030047555), written by authors Martin F. Polz, Om P. Rajora, was published by Springer in 2019. With an overall rating of 4.5 stars, it's a notable title among other Bacteriology (Biological Sciences, Agricultural Sciences) books. You can easily purchase or rent Population Genomics: Microorganisms (Hardcover) from BooksRun, along with many other new and used Bacteriology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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