%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Silva, A.
%A Montoya, M. E.
%A Quintero, C.
%A Cuasquer, J.
%A Tohme, J.
%A Graterol, E.
%A Cruz, M.
%A Lorieux, Mathias
%T Genetic bases of resistance to the rice hoja blanca disease deciphered by a quantitative trait locus approach
%D 2023
%L fdi:010089516
%G ENG
%J G3 : Genes Genomes Genetics
%@ 2160-1836
%K Rice hoja blanca virus ; rice hoja blanca disease ; quantitative trait ; locus ; candidate gene ; Plant Genetics and Genomics
%M ISI:001153373000003
%N 12
%P jkad223 [15 ]
%R 10.1093/g3journal/jkad223
%U https://www.documentation.ird.fr/hor/fdi:010089516
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2024-03/010089516.pdf
%V 13
%W Horizon (IRD)
%X Rice hoja blanca (RHB) is one of the most serious diseases in rice-growing areas in tropical Americas. Its causal agent is RHB virus (RHBV), transmitted by the planthopper Tagosodes orizicolus Muir. Genetic resistance is the most effective and environment-friendly way of controlling the disease. So far, only 1 major quantitative trait locus (QTL) of Oryza sativa ssp. japonica origin, qHBV4.1, that alters the incidence of the virus symptoms in 2 Colombian cultivars has been reported. This resistance has already started to be broken, stressing the urgent need for diversifying the resistance sources. In the present study, we performed a search for new QTLs of O. sativa indica origin associated with RHB resistance. We used 4 F2:3-segregating populations derived from indica-resistant varieties crossed with a highly susceptible japonica pivot parent. Besides the standard method for measuring disease incidence, we developed a new method based on computer-assisted image processing to determine the affected leaf area (ALA) as a measure of symptom severity. Based on the disease severity and incidence scores in the F3 families under greenhouse conditions and SNP genotyping of the F2 individuals, we identified 4 new indica QTLs for RHB resistance on rice chromosomes 4, 6, and 11, namely, qHBV4.2(WAS208), qHBV6.1(PTB25), qHBV11.1, and qHBV11.2, respectively. We also confirmed the wide-range action of qHBV4.1. Among the 5 QTLs, qHBV4.1 and qHBV11.1 had the largest effects on incidence and severity, respectively. These results provide a more complete understanding of the genetic bases of RHBV resistance in the cultivated rice gene pool and can be used to develop marker-aided breeding strategies to improve RHB resistance. The power of joint- and meta-analyses allowed precise mapping and candidate gene identification, providing the basis for positional cloning of the 2 major QTLs qHBV4.1 and qHBV11.1.
%$ 076 ; 020