Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths

Geometric morphometrics is widely used to study underlying causal factors in phenotypic evolution and to reconstruct evolutionary history of phenotypes. However, non-linearities in the phenotypic landscape may exist such that analytical solutions derived from comparison of phenotypes in morphospace...

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Main Author: P. D. Polly
Format: Article
Language:English
Published: Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2017-07-01
Series:Vavilovskij Žurnal Genetiki i Selekcii
Subjects:
Online Access:https://vavilov.elpub.ru/jour/article/view/1027
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spelling doaj-050a9a9511b8464cb54af20f59b2434b2021-09-11T08:41:18ZengInstitute of Cytology and Genetics of Siberian Branch of the Russian Academy of SciencesVavilovskij Žurnal Genetiki i Selekcii2500-04622500-32592017-07-0121445246110.18699/VJ17.264630Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight pathsP. D. Polly0Indiana UniversityGeometric morphometrics is widely used to study underlying causal factors in phenotypic evolution and to reconstruct evolutionary history of phenotypes. However, non-linearities in the phenotypic landscape may exist such that analytical solutions derived from comparison of phenotypes in morphospace may have complex or contradictory relationships in the space of the underlying factors. Ancestral reconstruction of horn morphology based on two mammalian ungulates illustrates how biologically improbable results can arise from the mathematical properties of geometric morphometric morphospaces. Raup’s shell coiling equations are used to illustrate the potential for contradictory conclusions to be drawn from ancestral reconstructions in parameter spaces (such as measurements of levels of gene expression or allele frequencies) versus shape spaces (such as morphospaces based on phenotypic analysis). These examples are generalizable to many real morphometric studies, suggesting that care should be taken when drawing conclusions about genetic, developmental, or environmental processes based on morphometric analyses. Dense sampling of shape space and the use of fully multivariate and, perhaps, nonlinear methods can help forestall potential problems.https://vavilov.elpub.ru/jour/article/view/1027geometric morphometricsmollusc shellsphenotypic evolutionphylogenetic comparative methodssemilandmarks
collection DOAJ
language English
format Article
sources DOAJ
author P. D. Polly
spellingShingle P. D. Polly
Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths
Vavilovskij Žurnal Genetiki i Selekcii
geometric morphometrics
mollusc shells
phenotypic evolution
phylogenetic comparative methods
semilandmarks
author_facet P. D. Polly
author_sort P. D. Polly
title Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths
title_short Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths
title_full Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths
title_fullStr Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths
title_full_unstemmed Morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths
title_sort morphometrics and evolution: the challenge of crossing rugged phenotypic landscapes with straight paths
publisher Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences
series Vavilovskij Žurnal Genetiki i Selekcii
issn 2500-0462
2500-3259
publishDate 2017-07-01
description Geometric morphometrics is widely used to study underlying causal factors in phenotypic evolution and to reconstruct evolutionary history of phenotypes. However, non-linearities in the phenotypic landscape may exist such that analytical solutions derived from comparison of phenotypes in morphospace may have complex or contradictory relationships in the space of the underlying factors. Ancestral reconstruction of horn morphology based on two mammalian ungulates illustrates how biologically improbable results can arise from the mathematical properties of geometric morphometric morphospaces. Raup’s shell coiling equations are used to illustrate the potential for contradictory conclusions to be drawn from ancestral reconstructions in parameter spaces (such as measurements of levels of gene expression or allele frequencies) versus shape spaces (such as morphospaces based on phenotypic analysis). These examples are generalizable to many real morphometric studies, suggesting that care should be taken when drawing conclusions about genetic, developmental, or environmental processes based on morphometric analyses. Dense sampling of shape space and the use of fully multivariate and, perhaps, nonlinear methods can help forestall potential problems.
topic geometric morphometrics
mollusc shells
phenotypic evolution
phylogenetic comparative methods
semilandmarks
url https://vavilov.elpub.ru/jour/article/view/1027
work_keys_str_mv AT pdpolly morphometricsandevolutionthechallengeofcrossingruggedphenotypiclandscapeswithstraightpaths
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