Studying developmental variation with Geometric Morphometric Image Analysis (GMIA).
PLoS One
; 9(12): e115076, 2014.
Article
em En
| MEDLINE
| ID: mdl-25500820
ABSTRACT
The ways in which embryo development can vary across individuals of a population determine how genetic variation translates into adult phenotypic variation. The study of developmental variation has been hampered by the lack of quantitative methods for the joint analysis of embryo shape and the spatial distribution of cellular activity within the developing embryo geometry. By drawing from the strength of geometric morphometrics and pixel/voxel-based image analysis, we present a new approach for the biometric analysis of two-dimensional and three-dimensional embryonic images. Well-differentiated structures are described in terms of their shape, whereas structures with diffuse boundaries, such as emerging cell condensations or molecular gradients, are described as spatial patterns of intensities. We applied this approach to microscopic images of the tail fins of larval and juvenile rainbow trout. Inter-individual variation of shape and cell density was found highly spatially structured across the tail fin and temporally dynamic throughout the investigated period.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Pesos e Medidas Corporais
/
Processamento de Imagem Assistida por Computador
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Oncorhynchus mykiss
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Desenvolvimento Embrionário
Idioma:
En
Ano de publicação:
2014
Tipo de documento:
Article