HpQTL: a geometric morphometric platform to compute the genetic architecture of heterophylly.

Abstract:

:Heterophylly, i.e. morphological changes in leaves along the axis of an individual plant, is regarded as a strategy used by plants to cope with environmental change. However, little is known of the extent to which heterophylly is controlled by genes and how each underlying gene exerts its effect on heterophyllous variation. We described a geometric morphometric model that can quantify heterophylly in plants and further constructed an R-based computing platform by integrating this model into a genetic mapping and association setting. The platform, named HpQTL, allows specific quantitative trait loci mediating heterophyllous variation to be mapped throughout the genome. The statistical properties of HpQTL were examined and validated via computer simulation. Its biological relevance was demonstrated by results from a real data analysis of heterophylly in a wood plant, mei (Prunus mume). HpQTL provides a powerful tool to analyze heterophylly and its underlying genetic architecture in a quantitative manner. It also contributes a new approach for genome-wide association studies aimed to dissect the programmed regulation of plant development and evolution.

journal_name

Brief Bioinform

authors

Sun L,Wang J,Zhu X,Jiang L,Gosik K,Sang M,Sun F,Cheng T,Zhang Q,Wu R

doi

10.1093/bib/bbx011

subject

Has Abstract

pub_date

2018-07-20 00:00:00

pages

603-612

issue

4

eissn

1467-5463

issn

1477-4054

pii

2999283

journal_volume

19

pub_type

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