Literature DB >> 24950893

Genetic dissection of a genomic region with pleiotropic effects on domestication traits in maize reveals multiple linked QTL.

Zachary H Lemmon1, John F Doebley2.   

Abstract

The domesticated crop maize and its wild progenitor, teosinte, have been used in numerous experiments to investigate the nature of divergent morphologies. This study examines a poorly understood region on the fifth chromosome of maize associated with a number of traits under selection during domestication, using a quantitative trait locus (QTL) mapping population specific to the fifth chromosome. In contrast with other major domestication loci in maize where large-effect, highly pleiotropic, single genes are responsible for phenotypic effects, our study found the region on chromosome five fractionates into multiple-QTL regions, none with singularly large effects. The smallest 1.5-LOD support interval for a QTL contained 54 genes, one of which was a MADS MIKC(C) transcription factor, a family of proteins implicated in many developmental programs. We also used simulated trait data sets to investigate the power of our mapping population to identify QTL for which there is a single underlying causal gene. This analysis showed that while QTL for traits controlled by single genes can be accurately mapped, our population design can detect no more than ∼4.5 QTL per trait even when there are 100 causal genes. Thus when a trait is controlled by ≥5 genes in the simulated data, the number of detected QTL can represent a simplification of the underlying causative factors. Our results show how a QTL region with effects on several domestication traits may be due to multiple linked QTL of small effect as opposed to a single gene with large and pleiotropic effects.
Copyright © 2014 by the Genetics Society of America.

Entities:  

Keywords:  QTL; domestication; fractionation; maize; simulation

Mesh:

Year:  2014        PMID: 24950893      PMCID: PMC4174946          DOI: 10.1534/genetics.114.165845

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  37 in total

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