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An integrated analysis of phenotypic selection on insect body size and development time.

Authors :
Eck DJ
Shaw RG
Geyer CJ
Kingsolver JG
Source :
Evolution; international journal of organic evolution [Evolution] 2015 Sep; Vol. 69 (9), pp. 2525-32. Date of Electronic Publication: 2015 Aug 27.
Publication Year :
2015

Abstract

Most studies of phenotypic selection do not estimate selection or fitness surfaces for multiple components of fitness within a unified statistical framework. This makes it difficult or impossible to assess how selection operates on traits through variation in multiple components of fitness. We describe a new generation of aster models that can evaluate phenotypic selection by accounting for timing of life-history transitions and their effect on population growth rate, in addition to survival and reproductive output. We use this approach to estimate selection on body size and development time for a field population of the herbivorous insect, Manduca sexta (Lepidoptera: Sphingidae). Estimated fitness surfaces revealed strong and significant directional selection favoring both larger adult size (via effects on egg counts) and more rapid rates of early larval development (via effects on larval survival). Incorporating the timing of reproduction and its influence on population growth rate into the analysis resulted in larger values for size in early larval development at which fitness is maximized, and weaker selection on size in early larval development. These results illustrate how the interplay of different components of fitness can influence selection on size and development time. This integrated modeling framework can be readily applied to studies of phenotypic selection via multiple fitness components in other systems.<br /> (© 2015 The Author(s). Evolution © 2015 The Society for the Study of Evolution.)

Details

Language :
English
ISSN :
1558-5646
Volume :
69
Issue :
9
Database :
MEDLINE
Journal :
Evolution; international journal of organic evolution
Publication Type :
Academic Journal
Accession number :
26257167
Full Text :
https://doi.org/10.1111/evo.12744