Title

Male Pregnancy And The Evolution Of Body Segmentation In Seahorses And Pipefishes

Keywords

Axial skeleton; G-matrix; Heritability; Natural selection; Quantitative genetics; Syngnathus scovelli; Vertebral number

Abstract

The evolution of complex traits, which are specified by the interplay of multiple genetic loci and environmental effects, is a topic of central importance in evolutionary biology. Here, we show that body and tail vertebral numbers in fishes of the pipefish and seahorse family (Syngnathidae) can serve as a model for studies of quantitative trait evolution. A quantitative genetic analysis of body and tail vertebrae from field-collected families of the Gulf pipefish, Syngnathus scovelli, shows that both traits exhibit significantly positive additive genetic variance, with heritabilities of 0.75 ± 0.13 (mean ± standard error) and 0.46 ± 0.18, respectively. We do not find any evidence for either phenotypic or genetic correlations between the two traits. Pipefish are characterized by male pregnancy, and phylogenetic consideration of body proportions suggests that the position of eggs on the pregnant male's body may have contributed to the evolution of vertebral counts. In terms of numbers of vertebrae, tail-brooding males have longer tails for a given trunk size than do trunk-brooding males. Overall, these results suggest that vertebral counts in pipefish are heritable traits, capable of a response to selection, and they may have experienced an interesting history of selection due to the phenomenon of male pregnancy. Given that these traits vary among populations within species as well as among species, they appear to provide an excellent model for further research on complex trait evolution. Body segmentation may thus afford excellent opportunities for comparative study of homologous complex traits among disparate vertebrate taxa. © 2006 The Society for the Study of Evolution. All rights reserved.

Publication Date

2-1-2006

Publication Title

Evolution

Volume

60

Issue

2

Number of Pages

404-410

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1554/05-268.1

Socpus ID

33646840293 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33646840293

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