Integrating genomic resources to present full gene and putative promoter capture probe sets for bread wheat

基因组 生物 遗传学 计算生物学 基因 DNA测序 参考基因组 基因组学 发起人 霰弹枪测序 基因表达
作者
Laura-Jayne Gardiner,Thomas Brabbs,Alina Akhunov,Katherine Jordan,Hikmet Budak,Todd Richmond,Sukhwinder Singh,Leah Catchpole,Eduard Akhunov,Anthony Hall
出处
期刊:GigaScience [University of Oxford]
卷期号:8 (4) 被引量:29
标识
DOI:10.1093/gigascience/giz018
摘要

Abstract Background Whole-genome shotgun resequencing of wheat is expensive because of its large, repetitive genome. Moreover, sequence data can fail to map uniquely to the reference genome, making it difficult to unambiguously assign variation. Resequencing using target capture enables sequencing of large numbers of individuals at high coverage to reliably identify variants associated with important agronomic traits. Previous studies have implemented complementary DNA/exon or gene-based probe sets in which the promoter and intron sequence is largely missing alongside newly characterized genes from the recent improved reference sequences. Results We present and validate 2 gold standard capture probe sets for hexaploid bread wheat, a gene and a putative promoter capture, which are designed using recently developed genome sequence and annotation resources. The captures can be combined or used independently. We demonstrate that the capture probe sets effectively enrich the high-confidence genes and putative promoter regions that were identified in the genome alongside a large proportion of the low-confidence genes and associated promoters. Finally, we demonstrate successful sample multiplexing that allows generation of adequate sequence coverage for single-nucleotide polymorphism calling while significantly reducing cost per sample for gene and putative promoter capture. Conclusions We show that a capture design employing an “island strategy” can enable analysis of the large gene/putative promoter space of wheat with only 2 × 160 Mbp probe sets. Furthermore, these assays extend the regions of the wheat genome that are amenable to analyses beyond its exome, providing tools for detailed characterization of these regulatory regions in large populations.

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