An overview of mapping quantitative trait loci in peanut (Arachis hypogaea L.)

Kassie Fentanesh C., Nguepjop Joël Romaric, Ngalle Bille Hermine, Assaha Dekoum V. M., Gessese Mesfin K., Abtew Wosene Gebreselassie, Tossim Hodo-Abalo, Sambou Aissatou, Seye Maguette, Rami Jean-François, Fonceka Daniel, Bell Joseph Martin. 2023. An overview of mapping quantitative trait loci in peanut (Arachis hypogaea L.). Genes, 14 (6), n.spéc. Peanut Genetics and Omics:1176, 23 p.

Résumé : Quantitative Trait Loci (QTL) mapping has been thoroughly used in peanut genetics and breeding in spite of the narrow genetic diversity and the segmental tetraploid nature of the cultivated species. QTL mapping is helpful for identifying the genomic regions that contribute to traits, for estimating the extent of variation and the genetic action (i.e., additive, dominant, or epistatic) underlying this variation, and for pinpointing genetic correlations between traits. The aim of this paper is to review the recently published studies on QTL mapping with a particular emphasis on mapping populations used as well as traits related to kernel quality. We found that several populations have been used for QTL mapping including interspecific populations developed from crosses between synthetic tetraploids and elite varieties. Those populations allowed the broadening of the genetic base of cultivated peanut and helped with the mapping of QTL and identifying beneficial wild alleles for economically important traits. Furthermore, only a few studies reported QTL related to kernel quality. The main quality traits for which QTL have been mapped include oil and protein content as well as fatty acid compositions. QTL for other agronomic traits have also been reported. Among the 1261 QTL reported in this review, and extracted from the most relevant studies on QTL mapping in peanut, 413 (~33%) were related to kernel quality showing the importance of quality in peanut genetics and breeding. Exploiting the QTL information could accelerate breeding to develop highly nutritious superior cultivars in the face of climate change.

Mots-clés Agrovoc : locus des caractères quantitatifs, amélioration des plantes, carte génétique, marqueur génétique, Arachis hypogaea, génétique des populations, caractère agronomique, amélioration génétique, tétraploïdie, variation génétique, phénotype, résistance à la sécheresse, Arachis, génome, protéine d'arachide

Mots-clés libres : QTL mapping, Quality traits, Interspecific, Genetic, Breeding, Peanut

Classification Agris : F30 - Génétique et amélioration des plantes

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Agences de financement européennes : European Commission, Education, Audiovisual and Culture Executive Agency

Programme de financement européen : Intra-Africa Academic Mobility Scheme

Projets sur financement : (EU) GENES Intra-Africa Academic Mobility Project

Auteurs et affiliations

• Kassie Fentanesh C., Université de Yaoundé (CMR)
• Nguepjop Joël Romaric, CIRAD-BIOS-UMR AGAP (SEN) - auteur correspondant
• Ngalle Bille Hermine, University of Yaounde 1 (CMR)
• Assaha Dekoum V. M., Université de Buéa (CMR)
• Gessese Mesfin K., Wolaita Sodo University (ETH)
• Abtew Wosene Gebreselassie, Jimma University College of Agriculture and Veterinary Medicine (ETH)
• Tossim Hodo-Abalo, CERAAS (SEN)
• Sambou Aissatou, CERAAS (SEN)
• Seye Maguette, CERAAS (SEN)
• Rami Jean-François, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-5679-3877
• Fonceka Daniel, CIRAD-BIOS-UMR AGAP (SEN)
• Bell Joseph Martin, Université de Yaoundé 1 (CMR)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608618/)

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