Abstract

Allopolyploidy greatly expands the range of possible regulatory interactions among functionally redundant homoeologous genes. However, connection between the emerging regulatory complexity and expression and phenotypic diversity in polyploid crops remains elusive. Here, we use diverse wheat accessions to map expression quantitative trait loci (eQTL) and evaluate their effects on the population-scale variation in homoeolog expression dosage. The relative contribution of cis- and trans-eQTL to homoeolog expression variation is strongly affected by both selection and demographic events. Though trans-acting effects play major role in expression regulation, the expression dosage of homoeologs is largely influenced by cis-acting variants, which appear to be subjected to selection. The frequency and expression of homoeologous gene alleles showing strong expression dosage bias are predictive of variation in yield-related traits, and have likely been impacted by breeding for increased productivity. Our study highlights the importance of genomic variants affecting homoeolog expression dosage in shaping agronomic phenotypes and points at their potential utility for improving yield in polyploid crops.

Highlights

  • RNA-seq and genome resequencing data generated in this study are deposited to NCBI SRA PRJNA670223, PRJNA787276 and NCBI GEO GSE167479

  • The candidate genes for each trait from SMR analysis (SMR p-value < 1e−4) based on seedling stage eQTL were used as a starting list of genes for network construction

  • We used 1899 SMR gene candidates identified using the eQTL data identified in the wheat seedlings and summary-level data from GWAS conducted in the wheat 1000 exome project[8]

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Summary

Introduction

RNA-seq and genome resequencing data generated in this study are deposited to NCBI SRA PRJNA670223, PRJNA787276 and NCBI GEO GSE167479. All analyses were conducted using standard software. The settings of software used for analyses are described in the Methods.

Results
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