Linkage Analysis : An Effective Tool For Studying The Complex Quantitative Traits

742 Words Apr 8th, 2016 3 Pages
For many decades, linkage analysis has been well-established and shown to be an effective tool for studying the complex quantitative traits. Despite of its great successes, this approach has great weakness because it only captures limited allelic diversity existing in two parental lines and also limited in low genomic resolution (Borevitz and Nordborg 2003). To address this issue, GWAS utilizing diverse germplasm collections and recombination events that have been accumulated during the evolution and domestication has been proposed (Zhu et al. 2008). Without the involvements of costs and time for developing mapping populations, GWAS can investigate a set of genetically unstructured genotypes and generate more precise QTL positions if a sufficient number of genetic markers are available. However, GWAS might not detect rare alleles linked to natural genetic variation (Dickson et al. 2010; Platt et al. 2010).
For SCN resistance study in soybean, Bao et al. (2014) conducted GWAS of 282 soybean breeding lines for resistance to SCN HG Type 0 using the USLP 1.0 SNP arrays (Hyten et al. 2010). The authors detected a significant association between markers and the known gene regions but no novel regions were detected. Han et al. (2015) identified 19 association signals significantly related to resistance to SCN HG Types 0 (race 3) and (race 4) as well as over 130 new sources of SCN resistance. Among the significant signals, eight were associated with two major QTL, rhg1 and…

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