Modeling development and quantitative trait mapping reveal independent genetic modules for leaf size and shape

© 2015 The Authors. New Phytologist © 2015 New Phytologist Trust.

Bibliographische Detailangaben
Veröffentlicht in:The New phytologist. - 1979. - 208(2015), 1 vom: 28. Okt., Seite 257-68
1. Verfasser: Baker, Robert L (VerfasserIn)
Weitere Verfasser: Leong, Wen Fung, Brock, Marcus T, Markelz, R J Cody, Covington, Michael F, Devisetty, Upendra K, Edwards, Christine E, Maloof, Julin, Welch, Stephen, Weinig, Cynthia
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2015
Zugriff auf das übergeordnete Werk:The New phytologist
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S. Brassica rapa allometry function valued traits growth modeling leaf development modularity quantitative genetics quantitative trait locus (QTL) mapping mehr... Water 059QF0KO0R
Beschreibung
Zusammenfassung:© 2015 The Authors. New Phytologist © 2015 New Phytologist Trust.
Improved predictions of fitness and yield may be obtained by characterizing the genetic controls and environmental dependencies of organismal ontogeny. Elucidating the shape of growth curves may reveal novel genetic controls that single-time-point (STP) analyses do not because, in theory, infinite numbers of growth curves can result in the same final measurement. We measured leaf lengths and widths in Brassica rapa recombinant inbred lines (RILs) throughout ontogeny. We modeled leaf growth and allometry as function valued traits (FVT), and examined genetic correlations between these traits and aspects of phenology, physiology, circadian rhythms and fitness. We used RNA-seq to construct a SNP linkage map and mapped trait quantitative trait loci (QTL). We found genetic trade-offs between leaf size and growth rate FVT and uncovered differences in genotypic and QTL correlations involving FVT vs STPs. We identified leaf shape (allometry) as a genetic module independent of length and width and identified selection on FVT parameters of development. Leaf shape is associated with venation features that affect desiccation resistance. The genetic independence of leaf shape from other leaf traits may therefore enable crop optimization in leaf shape without negative effects on traits such as size, growth rate, duration or gas exchange
Beschreibung:Date Completed 01.06.2016
Date Revised 18.03.2022
published: Print-Electronic
CommentIn: New Phytol. 2015 Oct;208(1):1-3. - PMID 26311281
Citation Status MEDLINE
ISSN:1469-8137
DOI:10.1111/nph.13509