Dataset Information

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

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.

SUBMITTER: Lemmon ZH

PROVIDER: S-EPMC4174946 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Lemmon Zachary H ZH Doebley John F JF

Genetics 20140620 1

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, sin ...[more]

PMID: 24950893

Similar Datasets

Project description:The application of genomic selection to sheep breeding could lead to substantial increases in profitability of wool production due to the availability of accurate breeding values from single nucleotide polymorphism (SNP) data. Several key traits determine the value of wool and influence a sheep's susceptibility to fleece rot and fly strike. Our aim was to predict genomic estimated breeding values (GEBV) and to compare three methods of combining information across traits to map polymorphisms that affect these traits.GEBV for 5726 Merino and Merino crossbred sheep were calculated using BayesR and genomic best linear unbiased prediction (GBLUP) with real and imputed 510,174 SNPs for 22 traits (at yearling and adult ages) including wool production and quality, and breech conformation traits that are associated with susceptibility to fly strike. Accuracies of these GEBV were assessed using fivefold cross-validation. We also devised and compared three approximate multi-trait analyses to map pleiotropic quantitative trait loci (QTL): a multi-trait genome-wide association study and two multi-trait methods that use the output from BayesR analyses. One BayesR method used local GEBV for each trait, while the other used the posterior probabilities that a SNP had an effect on each trait.BayesR and GBLUP resulted in similar average GEBV accuracies across traits (~0.22). BayesR accuracies were highest for wool yield and fibre diameter (>0.40) and lowest for skin quality and dag score (<0.10). Generally, accuracy was higher for traits with larger reference populations and higher heritability. In total, the three multi-trait analyses identified 206 putative QTL, of which 20 were common to the three analyses. The two BayesR multi-trait approaches mapped QTL in a more defined manner than the multi-trait GWAS. We identified genes with known effects on hair growth (i.e. FGF5, STAT3, KRT86, and ALX4) near SNPs with pleiotropic effects on wool traits.The mean accuracy of genomic prediction across wool traits was around 0.22. The three multi-trait analyses identified 206 putative QTL across the ovine genome. Detailed phenotypic information helped to identify likely candidate genes.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets