Literature DB >> 11240626

Quantitative genetics of life-history traits in a long-lived wild mammal.

D Réale1, M Festa-Bianchet.   

Abstract

Quantitative genetic studies of life-history traits in wild populations are very rare, yet variance/covariance estimates of these traits are crucial to understanding the evolution of reproductive strategies. We estimated heritabilities (h2) of several life-history traits (longevity, age and mass at primiparity, and reproductive traits) in two bighorn sheep (Ovis canadensis) populations, and both phenotypic (rP) and genetic (rA) correlations between life-history traits in one population. We included adult mass in our analyses because it is related to several life-history traits. We used the mother-daughter regression method and resampling tests based on data from long-term monitoring of marked females. Contrary to the theoretical prediction of low heritability for fitness-related traits, heritability estimates in the Ram Mountain population ranged from 0.02 to 0.81 (mean of 0.52), and several were different from zero. Coefficients of variation tend to support the hypothesis of a higher environmental influence on life-history traits. In contrast, at Sheep River we found low heritabilities of life-history traits. Phenotypic correlations varied between -0.09 and 0.95. Several genetic correlations were strong, particularly for different reproductive traits that are functionally related, and ranged from -0.34 to 1.71. Overall, genetic and phenotypic correlations between the same variables were similar in magnitude and direction. We found no phenotypic or genetic correlations suggesting trade-offs among life-history traits. Bighorn sheep may not form the large, outbred populations at equilibrium that are assumed by both Fisher's fundamental theorem and by theories predicting antagonistic pleiotropy between life-history traits. Alternatively, the absence of negative genetic correlations may result from genetic variation in ability to acquire resources or from novel environmental conditions existing during the study period.

Entities:  

Mesh:

Year:  2000        PMID: 11240626     DOI: 10.1046/j.1365-2540.2000.00795.x

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  8 in total

Review 1.  Estimating genetic parameters in natural populations using the "animal model".

Authors:  Loeske E B Kruuk
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-06-29       Impact factor: 6.237

Review 2.  Puberty and dispersal in a wild primate population.

Authors:  Patrick O Onyango; Laurence R Gesquiere; Jeanne Altmann; Susan C Alberts
Journal:  Horm Behav       Date:  2013-07       Impact factor: 3.587

Review 3.  Insights from comparative analyses of aging in birds and mammals.

Authors:  Robert E Ricklefs
Journal:  Aging Cell       Date:  2009-12-23       Impact factor: 9.304

Review 4.  Is preterm birth a human-specific syndrome?

Authors:  Julie Baker Phillips; Patrick Abbot; Antonis Rokas
Journal:  Evol Med Public Health       Date:  2015-06-14

5.  Estimates of direct and indirect effects for early juvenile survival in captive populations maintained for conservation purposes: the case of Cuvier's gazelle.

Authors:  Belén Ibáñez; Isabel Cervantes; Juan P Gutiérrez; Félix Goyache; Eulalia Moreno
Journal:  Ecol Evol       Date:  2014-10-10       Impact factor: 2.912

6.  The effects of reproductive specialization on energy costs and fitness genetic variances in cyclical and obligate parthenogenetic aphids.

Authors:  Mauricio J Carter; Jean-Christophe Simon; Roberto F Nespolo
Journal:  Ecol Evol       Date:  2012-07       Impact factor: 2.912

7.  The songs of male pied flycatchers: exploring the legacy of the fathers.

Authors:  Antonieta Labra; Helene M Lampe
Journal:  PeerJ       Date:  2018-08-01       Impact factor: 2.984

8.  The Origin of Additive Genetic Variance Driven by Positive Selection.

Authors:  Li Liu; Yayu Wang; Di Zhang; Zhuoxin Chen; Xiaoshu Chen; Zhijian Su; Xionglei He
Journal:  Mol Biol Evol       Date:  2020-08-01       Impact factor: 16.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.