High-Throughput Genome-Wide Genotyping To Optimize the Use of Natural Genetic Resources in the Grassland Species Perennial Ryegrass (Lolium perenne L.)

Author:

Keep Thomas1,Sampoux Jean-Paul1,Blanco-Pastor José Luis1,Dehmer Klaus J2,Hegarty Matthew J3,Ledauphin Thomas1,Litrico Isabelle1,Muylle Hilde4,Roldán-Ruiz Isabel4,Roschanski Anna M2,Ruttink Tom4,Surault Fabien1,Willner Evelin2,Barre Philippe1

Affiliation:

1. INRAE, Centre Nouvelle-Aquitaine-Poitiers, UR4 (UR P3F), F-86600 Lusignan, France

2. Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Inselstr. 9, 23999 Malchow/Poel, Germany

3. IBERS-Aberystwyth University, Plas Goggerdan, Aberystwyth, Ceredigion, United Kingdom

4. Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) - Plant Sciences Unit, Caritasstraat 39, 9090 Melle, Belgium

Abstract

Abstract The natural genetic diversity of agricultural species is an essential genetic resource for breeding programs aiming to improve their ecosystem and production services. A large natural ecotype diversity is usually available for most grassland species. This could be used to recombine natural climatic adaptations and agronomic value to create improved populations of grassland species adapted to future regional climates. However describing natural genetic resources can be long and costly. Molecular markers may provide useful information to help this task. This opportunity was investigated for Lolium perenne L., using a set of 385 accessions from the natural diversity of this species collected right across Europe and provided by genebanks of several countries. For each of these populations, genotyping provided the allele frequencies of 189,781 SNP markers. GWAS were implemented for over 30 agronomic and/or putatively adaptive traits recorded in three climatically contrasted locations (France, Belgium, Germany). Significant associations were detected for hundreds of markers despite a strong confounding effect of the genetic background; most of them pertained to phenology traits. It is likely that genetic variability in these traits has had an important contribution to environmental adaptation and ecotype differentiation. Genomic prediction models calibrated using natural diversity were found to be highly effective to describe natural populations for almost all traits as well as commercial synthetic populations for some important traits such as disease resistance, spring growth or phenological traits. These results will certainly be valuable information to help the use of natural genetic resources of other species.

Publisher

Oxford University Press (OUP)

Subject

Genetics(clinical),Genetics,Molecular Biology

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