In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense

Daval Aurélie, Pomiès Virginie, Le Squin Sandrine, Denis Marie, Riou Virginie, Breton Frédéric, Nopariansyah, Bink Marco, Cochard Benoît, Jacob Florence, Billotte Norbert, Tisne Sébastien. 2021. In silico QTL mapping in an oil palm breeding program reveals a quantitative and complex genetic resistance to Ganoderma boninense. Molecular Breeding, 41 (9):53, 18 p.

Quartile : Q1, Sujet : AGRONOMY / Quartile : Q1, Sujet : HORTICULTURE / Quartile : Q2, Sujet : PLANT SCIENCES / Quartile : Q3, Sujet : GENETICS & HEREDITY

Résumé : Basal stem rot caused by Ganoderma boninense is the major threat to oil palm cultivation in Southeast Asia, which accounts for 80% of palm oil production worldwide, and this disease is increasing in Africa. The use of resistant planting material as part of an integrated pest management of this disease is one sustainable solution. However, breeding for Ganoderma resistance requires long-term and costly research, which could greatly benefit from marker-assisted selection (MAS). In this study, we evaluated the effectiveness of an in silico genetic mapping approach that took advantage of extensive data recorded in an ongoing breeding program. A pedigree-based QTL mapping approach applied to more than 10 years' worth of data collected during pre-nursery tests revealed the quantitative nature of Ganoderma resistance and identified underlying loci segregating in genetic diversity that is directly relevant for the breeding program supporting the study. To assess the consistency of QTL effects between pre-nursery and field environments, information was collected on the disease status of the genitors planted in genealogical gardens and modeled with pre-nursery-based QTL genotypes. In the field, individuals were less likely to be infected with Ganoderma when they carried more favorable alleles at the pre-nursery QTL. Our results pave the way for a MAS of Ganoderma resistant and high yielding planting material, and the provided proof-of-concept of this efficient and cost-effective approach could motivate similar studies based on diverse breeding programs.

Mots-clés Agrovoc : résistance aux maladies, maladie des plantes, sélection, Elaeis guineensis, locus des caractères quantitatifs, Ganoderma, pourriture, programme d'amélioration

Mots-clés complémentaires : Ganoderma boninense

Mots-clés libres : Oil Palm, Basal stem rot disease, Nursery screening test, Breeding population, QTL mapping, Pedigree-based analysis

Classification Agris : H20 - Maladies des plantes
F30 - Génétique et amélioration des plantes

Champ stratégique Cirad : CTS 4 (2019-) - Santé des plantes, des animaux et des écosystèmes

Agences de financement européennes : European Commission

Programme de financement européen : H2020

Projets sur financement : (EU) Innovative Statistical modelling for a better Understanding of Longitudinal multivariate responses in relation to Omic datasets

Auteurs et affiliations

• Daval Aurélie, CIRAD-BIOS-UMR AGAP (FRA)
• Pomiès Virginie, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-5481-5120
• Le Squin Sandrine, PalmElit (FRA)
• Denis Marie, CIRAD-BIOS-UMR AGAP (USA)
• Riou Virginie, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-6569-4363
• Breton Frédéric, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-6853-2623
• Nopariansyah, SOCFINDO (IDN)
• Bink Marco, Research and Technology Center (NLD)
• Cochard Benoît, PalmElit (FRA)
• Jacob Florence, PalmElit (FRA)
• Billotte Norbert, CIRAD-BIOS-UMR AGAP (FRA)
• Tisne Sébastien, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-9838-3975 - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/599350/)

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