The complex genomes of many economically important crops present tremendous
challenges to understand the genetic control of many quantitative traits with great …

Background There are significant limitations in existing methods for the genome-wide
identification of genes whose expression patterns affect traits. Results The transcriptomes of …

A detailed understanding of genetic architecture of mRNA expression by millions of genetic
variants is important for studying quantitative trait variation. In this study, we identified 1.25 M …

Transcriptome variation plays an important role in affecting the phenotype of an organism.
However, an understanding of the underlying mechanisms regulating transcriptome …

Background Identifying genotype-phenotype links and causative genes from quantitative
trait loci (QTL) is challenging for complex agronomically important traits. To accelerate maize …

Phenotypic variation in natural populations results from a combination of genetic effects,
environmental effects, and gene-by-environment interactions. Despite the vast amount of …

Genome-wide association study (GWAS) has become a widely accepted strategy for
decoding genotype-phenotype associations in many species thanks to advances in next …

Maize is highly genetically and phenotypically diverse. Tropical maize and teosinte are
important genetic resources that harbor unique alleles not found in temperate maize hybrids …

Typically, F1-hybrids are more vigorous than their homozygous, genetically distinct parents,
a phenomenon known as heterosis. In the present study, the transcriptomes of the reciprocal …

Classical genetic studies have identified many cases of pleiotropy where mutations in
individual genes alter many different phenotypes. Quantitative genetic studies of natural …