TY - JOUR T1 - Whole-genome modeling accurately predicts quantitative traits in plants JF - bioRxiv DO - 10.1101/030395 SP - 030395 AU - Laurent Gentzbittel AU - Cécile Ben AU - Mélanie Mazurier AU - Min-Gyoung Shin AU - Martin Triska AU - Martina Rickauer AU - Yuri Nikolsky AU - Paul Marjoram AU - Sergey Nuzhdin AU - Tatiana V. Tatarinova Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/10/31/030395.abstract N2 - Understanding the relationship between genomic variation and variation in phenotypes for quantitative traits such as physiology, yield, fitness or behavior, will provide important insights for both predicting adaptive evolution and for breeding schemes. A particular question is whether the genetic variation that influences quantitative phenotypes is typically the result of one or two mutations of large effect, or multiple mutations of small effect. In this paper we explore this issue using the wild model legume Medicago truncatula. We show that phenotypes, such as quantitative disease resistance, can be well-predicted using genome-wide patterns of admixture, from which it follows that there must be many mutations of small effect.Our findings prove the potential of our novel “whole-genome modeling” –WhoGEM– method and experimentally validate, for the first time, the infinitesimal model as a mechanism for adaptation of quantitative phenotypes in plants. This insight can accelerate breeding and biomedicine research programs. ER -