Literature DB >> 26851437

Selection and constraints on offspring size-number trade-offs in sand lizards (Lacerta agilis).

G Ljungström1, M Stjernstedt1, E Wapstra2, M Olsson1,3.   

Abstract

The trade-off between offspring size and number is a central component of life-history theory, postulating that larger investment into offspring size inevitably decreases offspring number. This trade-off is generally discussed in terms of genetic, physiological or morphological constraints; however, as among-individual differences can mask individual trade-offs, the underlying mechanisms may be difficult to reveal. In this study, we use multivariate analyses to investigate whether there is a trade-off between offspring size and number in a population of sand lizards by separating among- and within-individual patterns using a 15-year data set collected in the wild. We also explore the ecological and evolutionary causes and consequences of this trade-off by investigating how a female's resource (condition)- vs. age-related size (snout-vent length) influences her investment into offspring size vs. number (OSN), whether these traits are heritable and under selection and whether the OSN trade-off has a genetic component. We found a negative correlation between offspring size and number within individual females and physical constraints (size of body cavity) appear to limit the number of eggs that a female can produce. This suggests that the OSN trade-off occurs due to resource constraints as a female continues to grow throughout life and, thus, produces larger clutches. In contrast to the assumptions of classic OSN theory, we did not detect selection on offspring size; however, there was directional selection for larger clutch sizes. The repeatabilities of both offspring size and number were low and we did not detect any additive genetic variance in either trait. This could be due to strong selection (past or current) on these life-history traits, or to insufficient statistical power to detect significant additive genetic effects. Overall, the findings of this study are an important illustration of how analyses of within-individual patterns can reveal trade-offs and their underlying causes, with potential evolutionary and ecological consequences that are otherwise hidden by among-individual variation.
© 2016 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2016 European Society For Evolutionary Biology.

Entities:  

Keywords:  adaptation; constraints; life history evolution; natural selection; offspring size and number; trade-offs

Mesh:

Year:  2016        PMID: 26851437     DOI: 10.1111/jeb.12838

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  5 in total

1.  The evolution of different maternal investment strategies in two closely related desert vertebrates.

Authors:  Joshua R Ennen; Jeffrey E Lovich; Roy C Averill-Murray; Charles B Yackulic; Mickey Agha; Caleb Loughran; Laura Tennant; Barry Sinervo
Journal:  Ecol Evol       Date:  2017-03-31       Impact factor: 2.912

2.  Environmental coupling of heritability and selection is rare and of minor evolutionary significance in wild populations.

Authors:  Jip J C Ramakers; Antica Culina; Marcel E Visser; Phillip Gienapp
Journal:  Nat Ecol Evol       Date:  2018-06-18       Impact factor: 15.460

3.  Genetic trends and trade-offs between growth and reproductive traits in a Nellore herd.

Authors:  Luiza Rodrigues Alves Abreu; Virgínia Mara Pereira Ribeiro; Gabriela Canabrava Gouveia; Eduardo Penteado Cardoso; Fabio Luiz Buranelo Toral
Journal:  PLoS One       Date:  2018-08-16       Impact factor: 3.240

4.  How accurately do behavioural observations predict reproductive success in free-ranging lizards?

Authors:  Mats Olsson; Tonia S Schwartz; Erik Wapstra; Richard Shine
Journal:  Biol Lett       Date:  2019-02-28       Impact factor: 3.703

5.  Extreme plasticity in reproductive biology of an oviparous lizard.

Authors:  Mats Olsson; Lisa Loeb; Willow Lindsay; Erik Wapstra; Luisa Fitzpatrick; Richard Shine
Journal:  Ecol Evol       Date:  2018-06-11       Impact factor: 2.912

  5 in total

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