Literature DB >> 29315551

The impact of artificial selection on morphological integration in the appendicular skeleton of domestic horses.

Pauline Hanot1, Anthony Herrel2, Claude Guintard3, Raphaël Cornette4.   

Abstract

The relationships between the different component parts of organisms, such as the sharing of common development or function, produce a coordinated variation between the different traits. This morphological integration contributes to drive or constrain morphological variation and thus impacts phenotypic diversification. Artificial selection is known to contribute significantly to phenotypic diversification of domestic species. However, little attention has been paid to its potential impact on integration patterns. This study explores the patterns of integration in the limb bones of different horse breeds, using 3D geometric morphometrics. The domestic horse is known to have been strongly impacted by artificial selection, and was often selected for functional traits. Our results confirm that morphological integration among bones within the same limb is strong and apparently partly produced by functional factors. Most importantly, they reveal that artificial selection, which led to the diversification of domestic horses, impacts covariation patterns. The influence of selection on the patterns of covariation varies along the limbs and modulates bone shape, likely due to a differential ligament or muscle development. These results highlight that, in addition to not being constrained by a strong morphological integration, artificial selection has modulated the covariation patterns according to the locomotor specificities of the breeds. More broadly, it illustrates the interest in studying how micro-evolutionary processes impact covariation patterns and consequently contribute to morphological diversification of domestic species.
© 2018 Anatomical Society.

Entities:  

Keywords:  appendicular skeleton; artificial selection; functional morphology; horse breeds; morphological integration; three-dimensional geometric morphometrics

Mesh:

Year:  2018        PMID: 29315551      PMCID: PMC5835793          DOI: 10.1111/joa.12772

Source DB:  PubMed          Journal:  J Anat        ISSN: 0021-8782            Impact factor:   2.610


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