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The genetic architecture of grain yield and related traits in Zea maize L. revealed by comparing intermated and conventional populations. | LitMetric

AI Article Synopsis

  • Using advanced intermated populations can improve mapping accuracy in genetic studies, but findings reveal lower genetic variance for traits like dry grain yield compared to traditional F(3) populations.
  • The intermated population showed a significantly smaller confidence interval around QTL, suggesting more precise localization, yet identified fewer QTL overall (21 vs. 30) and only a small percentage were shared with the F(3) population.
  • The study raises questions about the complexity of QTL mapping, indicating that detected QTL may actually represent clusters of linked QTL, hinting at a larger number of smaller effect QTL influencing complex traits than previously recognized.

Article Abstract

Using advanced intermated populations has been proposed as a way to increase the accuracy of mapping experiments. An F(3) population of 300 lines and an advanced intermated F(3) population of 322 lines, both derived from the same parental maize inbred lines, were jointly evaluated for dry grain yield (DGY), grain moisture (GM), and silking date (SD). Genetic variance for dry grain yield was significantly lower in the intermated population compared to the F(3) population. The confidence interval around a QTL was on average 2.31 times smaller in the intermated population compared to the F(3) population. One controversy surrounding QTL mapping is whether QTL identified in fact represent single loci. This study identifies two distinct loci for dry grain yield in the intermated population in coupling phase, while the F(3) identifies only a single locus. Surprisingly, fewer QTL were detected in the intermated population than the F(3) (21 vs. 30) and <50% of the detected QTL were shared among the two populations. Cross-validation showed that selection bias was more important in the intermated population than in the F(3) and that each detected QTL explained a lower percentage of the variance. This finding supports the hypothesis that QTL detected in conventional populations correspond mainly to clusters of linked QTL. The actual number of QTL involved in the genetic architecture of complex traits may be substantially larger, with effect sizes substantially smaller than in conventional populations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940303PMC
http://dx.doi.org/10.1534/genetics.110.113878DOI Listing

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