Linkage mapping of biomass production and composition traits in a miscanthus sinensis population

Autor: Raphael RAVERDY, Kristelle LOURGANT, Emilie MIGNOT, Stéphanie ARNOULT, Guillaume BODINEAU, Yves GRIVEAU, Cristiane H. TANIGUTI, Maryse BRANCOURT-HULMEL
Přispěvatelé: Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Unité Expérimentale Grandes Cultures Innovation Environnement - Picardie (GCIE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique et Biomasse Forestières ORléans (GBFOR), Institut Jean-Pierre Bourgin (IJPB), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Universidade de SãoPaulo, ANR-11-BTBR-0006,BFF,Biomasse pour le futur(2011)
Rok vydání: 2022
Předmět:
Zdroj: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
BioEnergy Research
BioEnergy Research, 2022, 15 (2), pp.755-776. ⟨10.1007/s12155-022-10402-8⟩
ISSN: 1939-1234
DOI: 10.1007/s12155-022-10402-8⟩
Popis: Breeding miscanthus for biomass production and composition is essential for targeting high-yielding genotypes suited to different end-uses. Our objective was to understand the genetic determinism of these traits in M. sinensis, according to different plant ages and environmental conditions. A diploid population was established in two locations according to a staggered-start design, which made the “year” effect partitioned into “age” and “growing season” effects. An integrated genetic map of 2,602 SNP markers distributed across 19 LGs, was aligned with the M. sinensis reference genome and spanned 2,770 cM. The QTL mapping was based on Best Linear Unbiased Predictions estimated across three climatic conditions and at least three ages in both locations. 260 and 283 QTL were related to biomass production and composition traits, respectively. In each location, 40%-60% were related to biomass production traits and stable across different climatic conditions and ages, and 30% to biomass composition traits. Ten to fifteen% were stable for both trait types across locations. Twelve QTL clusters were established based on either biomass production or composition traits, and validated by high genetic correlations between the traits. Sixty-two putative M. sinensis genes, related to the cell-wall, were evidenced in the QTL clusters of biomass composition traits, and orthologous to those of sorghum and maize. Twelve of them were differentially expressed and belonged to gene families related to the cell-wall biosynthesis identified in other miscanthus studies. These stable QTL constitute new insights into Marker-Assisted Selection breeding while offering a joint improvement of biomass production or composition traits.
Databáze: OpenAIRE
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