Reference Report for AP20210713.3
| Title: | Integrated QTL mapping, gene expression and nucleotide variation analyses to investigate complex quantitative traits: a case study with the soybean-Phytophthora sojae interaction |
| Authors: | de Ronne, M., Labbé, C., Lebreton, A,, Sonah, H., Deshmukh, R., Jean, M., Belzile, F., O'Donoughue, L., Belanger, R. |
| Source: | de Ronne et al. 2019 Plant Biotechnol. J., 18(7): 1492-1494 |
| Abstract: | Soybean (Glycine max(L.) Merr.) is the most important legume in the world. However, the rapid expansion of its cultivated areas has created new ecological niches for many pathogens. Among them,Phytophthora sojae(Kaufmann and Gerdemann) ranks as one of the most damaging soybean pests in the world. The most common method to control it is the introgression of resistance genes termedRps(Resistance toP.sojae) into elite cultivars. This imposes a high selection pressure onP.sojaeleading to the development of new virulent pathotypes. Consequently, more durable sources of resistance are needed to manageP.sojae. A complementary approach resides in the exploitation of quantitative trait loci (QTL) associated with partial resistance (PR) which has been found to be more durable and effective against a broad spectrum of pathotypes (Karhoff et al.,2019). Several QTLs for PR of soybean againstP.sojaehave already been reported and are listed on SoyBase (Grantet al.,2010). However, limited information is available about the precise nature and role of genes within those QTLs. |
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