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Maximum Likelihood Estimation of Fitness Components in Experimental Evolution.
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- Author(s): Jingxian Liu; Champer, Jackson; Langmüller, Anna Maria; Chen Liu; Joan Chung; Reeves, Riona; Luthra, Anisha; Yoo Lim Lee; Vaughn, Andrew H.; Clark, Andrew G.; Messer, Philipp W.
- Source:
Genetics. Mar2019, Vol. 211 Issue 3, p1005-1017. 13p. - Source:
- Additional Information
- Subject Terms:
- Abstract: Estimating fitness differences between allelic variants is a central goal of experimental evolution. Current methods for inferring such differences from allele frequency time series typically assume that the effects of selection can be described by a fixed selection coefficient. However, fitness is an aggregate of several components including mating success, fecundity, and viability. Distinguishing between these components could be critical in many scenarios. Here, we develop a flexible maximum likelihood framework that can disentangle different components of fitness from genotype frequency data, and estimate them individually in males and females. As a proof-of-principle, we apply our method to experimentally evolved cage populations of Drosophila melanogaster, in which we tracked the relative frequencies of a loss-of-function and wild-type allele of yellow. This X-linked gene produces a recessive yellow phenotype when disrupted and is involved in male courtship ability. We find that the fitness costs of the yellow phenotype take the form of substantially reduced mating preference of wild-type females for yellow males, together with a modest reduction in the viability of yellow males and females. Our framework should be generally applicable to situations where it is important to quantify fitness components of specific genetic variants, including quantitative characterization of the population dynamics of CRISPR gene drives. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Genetics is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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