Skip to main content Accessibility help
×
Hostname: page-component-7479d7b7d-68ccn Total loading time: 0 Render date: 2024-07-08T16:33:33.868Z Has data issue: false hasContentIssue false

8 - Adaptation, Optimality, and the Meaning of Phenotypic Variation in Natural Populations

Published online by Cambridge University Press:  06 January 2010

Steven Hecht Orzack
Affiliation:
The Fresh Pond Research Institute, Cambridge, MA
Elliott Sober
Affiliation:
University of Wisconsin, Madison
Get access

Summary

Genetic variation can be assessed at every level of biological organization. At each level one may ask to what extent the variation is maintained by natural selection versus other influences. Among populations or among congeneric species, phenotypic differences can be quite distinct, and few investigators would question the claim that in many instances these differences reflect genetic adaptation to the particular ecological milieu the organisms inhabit. Detectable genetically based phenotypic variation also exists among individuals within populations, but can this variation be evaluated in a similar manner as can variation at higher levels of organization?

Two arguments bear on the existence of phenotypic variation within populations. First is the null hypothesis that alternative forms are selectively neutral. Variants possess no advantage or disadvantage, and phenotypic differences result from neutral forces such as mutation, migration, or genetic drift (Lande 1976b; Lynch and Hill 1986). The alternative hypothesis is that variation is in some way adaptive, with different forms representing specialized adaptations to a heterogeneous environment (Wilson 1989; Smith and Skúlason 1996). In this chapter we address the adaptive significance of phenotypic variation among individuals within populations and argue for the importance of natural selection – specifically, density-dependent, frequency-dependent, and disruptive selection – in sustaining this variation. To do so, we first examine how variation of this type relates to optimality theory and how it may be useful in addressing questions of adaptation and optimality. Next, we briefly review germane theoretical claims for the maintenance of phenotypic variation in populations, and finally we consider several empirical examples that test hypotheses concerning the adaptive significance of polymorphic variation.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2001

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×