Understanding Adaptation and Diversification: Insights from the Study of Microbial Experimental Evolution.
Understanding Adaptation and Diversification: Insights from the Study of Microbial Experimental Evolution.
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了解适应和多样化:微生物实验进化研究的见解。
DOI:
10.1111/evo.12564
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
Koskella B
中科院分区:
文献类型:
--
作者:
Koskella B
Review of: Kassen, R. 2014. Experimental Evolution and the Nature of Biodiversity. Roberts and Company Publishers. 288 p. ISBN: 9781936221462; $36.00 PB. Explaining the generation and maintenance of biodiversity is a central aim of evolutionary biology. This requires the integration of studies focused on explaining within-population diversity through to the organization of biodiversity at the ecosystem level. The combination of comparative studies in nature with those employing experimental evolution in the laboratory is also valuable: the former helps build and test predictions for what processes might be driving patterns of biodiversity, whereas the latter can confirm whether such processes are capable of doing so in the absence of other biotic and abiotic factors. The recent increase in experimental evolution studies focusing on microbial populations has offered a number of key insights into the evolutionary mechanisms of adaptation and diversification relating to microbial organisms specifically, as well as into those mechanisms that are likely to generalize to nonmicrobial species. In his new book on experimental evolution, Rees Kassen elegantly explores the empirical support for long-standing theories on adaptation and biodiversity that comes from both early and contemporary studies of experimental evolution. Each chapter begins with a short vignette that increases the readability and accessibility of the work. These stories provide broader context for each topic, beginning with the dawn of microbial experimental evolution and expanding to well-known contemporary systems such as Rich Lenski’s over 61,000 generation experiment on Escherichia coli (Wiser et al. 2013) and more applied systems such as the diversification of Pseudomonas aeruginosa in the lungs of human cystic fibrosis sufferers (Smith et al. 2006). Kassen’s discussion moves smoothly from population-level variation to lineage splitting to rates of speciation in order to achieve his stated goal of linking the microevolutionary process of adaptation to more macroevolutionary patterns of diversification. Taking full advantage of the clarity with which specific mechanisms and outcomes can be tested in the relatively simple and modifiable environment of a test tube, Kassen explores ideas such as the importance of spatial and temporal environmental variations, the repeatability of evolution, and the relationship between available niche space and diversification in both an intuitive and rigorous fashion. Each chapter concludes with a succinct set of conclusions and future directions that not only act as useful recaps of topics covered, but that would also help structure discussion in any reading group or journal club covering the book.The major strength of Kassen’s work is the keen attention to theory throughout, including discussion of the differences among empirical studies with regard to theoretical assumptions being met or violated. This focus on theoretical predictions allows for an interpretation of experimental results that is easy to apply to nonmicrobial organisms, with the necessary caveats in place. The first few chapters, for example, offer a comprehensive primer on mutational fitness effects (contrasting Fisher’s geometric model with Gillespie’s mutational landscape model), the fate of new mutations as a function of population dynamics, and the importance of how fitness is measured during experimental evolution. Later chapters explore the ecological theory of diversification and introduce theoretical work examining the genetics and genomics of diversification, such as the PEAD (R) model of potentiation, exaptation, amplification, divergence, and reproductive isolation. In each case …
DOI:
10.1073/pnas.0602138103
发表时间:
2006-05-30
影响因子:
11.1
作者:
Smith, Eric E.;Buckley, Danielle G.;Olson, Maynard V.
通讯作者:
Olson, Maynard V.