title: ArabidopsisSeed Content QTL Mapping Using High-Throughput Phenotyping: The Assets of Near Infrared Spectroscopy.
abstract: Seed storage compounds are of crucial importance for human diet, feed and industrial uses. In oleo-proteaginous species like rapeseed, seed oil and protein are the qualitative determinants that conferred economic value to the harvested seed. To date, although the biosynthesis pathways of oil and storage protein are rather well-known, the factors that determine how these types of reserves are partitioned in seeds have to be identified. With the aim of implementing a quantitative genetics approach, requiring phenotyping of 100s of plants, our first objective was to establish near-infrared reflectance spectroscopic (NIRS) predictive equations in order to estimate oil, protein, carbon, and nitrogen content inArabidopsisseed with high-throughput level. Our results demonstrated that NIRS is a powerful non-destructive, high-throughput method to assess the content of these four major components studied inArabidopsisseed. With this tool in hand, we analyzedArabidopsisnatural variation for these four components and illustrated that they all displayed a wide range of variation. Finally, NIRS was used in order to map QTL for these four traits using seeds from theArabidopsis thalianaCt-1 × Col-0 recombinant inbred line population. Some QTL co-localized with QTL previously identified, but others mapped to chromosomal regions never identified so far for such traits. This paper illustrates the usefulness of NIRS predictive equations to perform accurate high-throughput phenotyping ofArabidopsisseed content, opening new perspectives in gene identification following QTL mapping and genome wide association studies.
authors.affiliation: Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay Versailles, France.
authors.forename: Sophie
authors.initials: S
authors.lastname: Jasinski
authors.affiliation: Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay Versailles, France.
authors.forename: Alain
authors.initials: A
authors.lastname: Lécureuil
authors.affiliation: Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay Versailles, France.
authors.forename: Monique
authors.initials: M
authors.lastname: Durandet
authors.affiliation: ThermoFisher Scientific Courtaboeuf, France.
authors.forename: Patrick
authors.initials: P
authors.lastname: Bernard-Moulin
authors.affiliation: Institut Jean-Pierre Bourgin, INRA, AgroParisTech, CNRS, Université Paris-Saclay Versailles, France.
authors.forename: Philippe
authors.initials: P
authors.lastname: Guerche
keywords: Arabidopsis thaliana; natural variation; near infrared spectroscopy; plant; quantitative trait loci; seed storage contents