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Book of Abstracts <strong>First</strong> <strong>Legume</strong> <strong>Society</strong> <strong>Conference</strong> 2013: A <strong>Legume</strong> Odyssey Novi Sad, Serbia, 9-11 May 2013<br />

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QTL detection for partial resistance against Didymella pinodes in two connected<br />

mapping populations of the model plant Medicago truncatula<br />

Eva Madrid 1 , Eleonora Barilli 1 , Teresa Millán 2 , Thierry Huguet 3 , Laurent Gentzbittel 4 , Diego<br />

Rubiales 1<br />

1 Institute for Sustainable Agriculture-CSIC, Córdoba, Spain<br />

2 University of Córdoba, Department of Genetics, Córdoba, Spain<br />

3 University of Toulouse, EcoLab, Castanet Tolosan, France<br />

4 INP-Agro Toulouse, France<br />

Ascochyta blight incited by Didymella pinodes (formerly Mycosphaerella pinodes) is one of the most<br />

important fungal diseases of pea worldwide. In this study searched for Quantitative Trait Loci<br />

(QTL) regions associated with quantitative resistance to D. pinodes in the model legume Medicago<br />

truncatula. The analysis was carried out using two connected mapping populations at F 8 derived<br />

from two crosses (J6 x F83005.5 and J6 x DZA315.16), being J6 moderately susceptible and both<br />

F83005.5 and DZA315.16 resistant to D. pinodes infection. Parental lines and RILs population<br />

were macroscopically evaluated in terms of relative Disease Severity (rDS). In order to provide<br />

more effective detection and evaluation of the effects of the QTLs and their stability and fine<br />

mapping of candidate genes annotated on the M. truncatula sequence, a combined genetic map<br />

using both population was developed. The QTL analysis revealed a QTL in the LG2 explaining<br />

up to 13% of the total phenotypic variation for rDS to D. pinodes. Two SSR markers, MTE80 and<br />

mtic890 (3 cM apart) were the most significantly associated. The markers are located in BAC<br />

AC119409 and BAC AC125474, respectively. These two BACs are overlapping on M. truncatula<br />

chromosome 2. The integration of QTL analysis and genomics in M. truncatula will facilitate the<br />

identification of candidate genes related with host resistance.<br />

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