2022
DOI: 10.21203/rs.3.rs-1282977/v1
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Meta-QTLs for multiple disease resistance involving three rusts in common wheat (Triticum aestivum L.)

Abstract: Rust diseases in wheat are a major threat to global food security, therefore, the development of multiple disease-resistant cultivars (resistant to all three rusts) is a major goal in all wheat breeding programs worldwide. In the present study, meta-QTLs and candidate genes for multiple disease resistance (MDR) involving all the three rusts were identified using 152 individual QTL mapping studies for resistance to leaf rust (LR), stem rust (SR), and yellow rust (YR). From these 152 studies, a total of 1,146 QT… Show more

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Cited by 4 publications
(4 citation statements)
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“…From the 459 QTLs retrieved from 48 mapping studies, 304 QTLs could be projected onto the consensus genetic map. Due to some of the obvious reasons mentioned previously, the remaining 155 QTLs were unable to be projected onto the consensus map ( Pal et al, 2022 ; Gudi et al, 2022 ). After QTL projection, a meta-analysis was performed which resulted in the identification of 65 potential genomic regions [including 57 MQTLs (each involving at least 2 QTLs derived from different studies) and 7 QTL hotspots (each involving multiple QTLs derived from a single study)] associated with GPC ( Figures 3 , 4A ) based on 233 initial QTLs leaving 45 initial QTLs as singletons (single QTLs) and 26 QTLs with peaks outside the supporting intervals of identified potential genomic regions.…”
Section: Resultsmentioning
confidence: 99%
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“…From the 459 QTLs retrieved from 48 mapping studies, 304 QTLs could be projected onto the consensus genetic map. Due to some of the obvious reasons mentioned previously, the remaining 155 QTLs were unable to be projected onto the consensus map ( Pal et al, 2022 ; Gudi et al, 2022 ). After QTL projection, a meta-analysis was performed which resulted in the identification of 65 potential genomic regions [including 57 MQTLs (each involving at least 2 QTLs derived from different studies) and 7 QTL hotspots (each involving multiple QTLs derived from a single study)] associated with GPC ( Figures 3 , 4A ) based on 233 initial QTLs leaving 45 initial QTLs as singletons (single QTLs) and 26 QTLs with peaks outside the supporting intervals of identified potential genomic regions.…”
Section: Resultsmentioning
confidence: 99%
“…Out of the 57 predicted MQTLs and 7 QTL hotspots, 19 MQTLs and 2 QTL hotspots overlapped with MTAs identified for GPC in recent GWA studies in wheat. In some of the earlier studies of meta-analysis, MQTLs for other traits of economic importance have also been validated using this method (Aduragbemi and Soriano, 2021; Gudi et al, 2022 ; Saini et al, 2021 ; Pal et al, 2022 ; Yang et al, 2021 ). In these earlier studies, only 38.66, 47.22, 78.57, 58.33, 69.23, and 61.37% of the physically anchored MQTLs were confirmed using GWAS data.…”
Section: Discussionmentioning
confidence: 99%
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