Article (Scientific journals)
A QTL approach in faba bean highlights the conservation of genetic control of frost tolerance among legume species.
Carrillo-Perdomo, Estefanía; Magnin-Robert, Jean-Bernard; Raffiot, Blandine et al.
2022In Frontiers in Plant Science, 13, p. 970865
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Keywords :
Frost tolerance; barrel medic (Medicago truncatula G.); faba bean (Vicia faba L.); genetic linkage mapping; pea (Pisum sativum L.); quantitative trait loci (QTL); recombinant inbred line (RIL) population; synteny; Plant Science
Abstract :
[en] Frost is a major abiotic stress of winter type faba beans (Vica faba L.) and has adverse effects on crop yield. Climate change, far from reducing the incidence of frost events, is making these phenomena more and more common, severe, and prolonged. Despite the important interaction that the environment has in the tolerance of faba bean to frost, this trait seems to have good levels of heritability. Several QTLs for frost tolerance have already been reported, however, a more robust identification is needed to more precisely identify the genomic regions involved in faba bean tolerance to sub-zero temperatures. Several pea (Pisum sativum L.) and barrel medic (Medicago truncatula L.) frost tolerance QTLs appear to be conserved between these two species, furthering the hypothesis that the genetic control of frost tolerance in legume species might be more generally conserved. In this work, the QTL mapping in two faba bean recombinant inbred line (RIL) populations connected by a common winter-type parent has led to the identification of five genomic regions involved in the control of frost tolerance on linkage groups I, III, IV, and V. Among them, a major and robust QTL of great interest for marker-assisted selection was identified on the lower part of the long-arm of LGI. The synteny between the faba bean frost tolerance QTLs and those previously identified in other legume species such as barrel medic, pea or soybean highlighted at least partial conservation of the genetic control of frost tolerance among different faba bean genetic pools and legume species. Four novel RILs showing high and stable levels of tolerance and the ability to recover from freezing temperatures by accumulating frost tolerance QTLs are now available for breeding programs.
Disciplines :
Phytobiology (plant sciences, forestry, mycology...)
Agriculture & agronomy
Author, co-author :
Carrillo-Perdomo, Estefanía;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France ; UMR AGAP Institut, Univ. Montpellier, CIRAD, INRAE, Institut Agro, San Giuliano, France
Magnin-Robert, Jean-Bernard;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
Raffiot, Blandine;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France ; Terres Inovia, Thiverval-Grignon, France
Deulvot, Chrystel;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
Floriot, Matthieu;  Agri Obtentions, Ferme de Gauvilliers, Orsonville, France
LEJEUNE, ISABELLE ;  Université de Liège - ULiège
Marget, Pascal;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France ; INRAE, UE115 Domaine Expérimental d'Epoisses, Dijon, France
Burstin, Judith;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
Tayeh, Nadim;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
Aubert, Grégoire;  Agroécologie, INRAE, Institut Agro, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France
Language :
English
Title :
A QTL approach in faba bean highlights the conservation of genetic control of frost tolerance among legume species.
Publication date :
2022
Journal title :
Frontiers in Plant Science
eISSN :
1664-462X
Publisher :
Frontiers Media S.A., Switzerland
Volume :
13
Pages :
970865
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
ANR - Agence Nationale de la Recherche [FR]
Funding text :
This research was supported by the PeaMUST project, which was funded by the French government through the Investment for the Future program (project ANR-11-BTBR-0002) and Ministère de l’Enseignement supérieur, de la Recherche et de l’Innovation.
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