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Linking Genes to Shape in Plants Using Morphometrics.
Xu, Hao; Bassel, George W.
Afiliação
  • Xu H; School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom; email: george.bassel@warwick.ac.uk.
  • Bassel GW; School of Life Sciences, University of Warwick, Coventry CV4 7AL, United Kingdom; email: george.bassel@warwick.ac.uk.
Annu Rev Genet ; 54: 417-437, 2020 11 23.
Article em En | MEDLINE | ID: mdl-32886544
ABSTRACT
A transition from qualitative to quantitative descriptors of morphology has been facilitated through the growing field of morphometrics, representing the conversion of shapes and patterns into numbers. The analysis of plant form at the macromorphological scale using morphometric approaches quantifies what is commonly referred to as a phenotype. Quantitative phenotypic analysis of individuals with contrasting genotypes in turn provides a means to establish links between genes and shapes. The path from a gene to a morphological phenotype is, however, not direct, with instructive information progressing both across multiple scales of biological complexity and through nonintuitive feedback, such as mechanical signals. In this review, we explore morphometric approaches used to perform whole-plant phenotyping and quantitative approaches in capture processes in the mesoscales, which bridge the gaps between genes and shapes in plants. Quantitative frameworks involving both the computational simulation and the discretization of data into networks provide a putative path to predicting emergent shape from underlying genetic programs.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Genes de Plantas / Ligação Genética Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Animals / Humans Idioma: En Revista: Annu Rev Genet Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Genes de Plantas / Ligação Genética Tipo de estudo: Prognostic_studies / Qualitative_research Limite: Animals / Humans Idioma: En Revista: Annu Rev Genet Ano de publicação: 2020 Tipo de documento: Article