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

Author: Gardiner, L.J.
Author: Brabbs, T.
Author: Akhunova, A.
Author: Jordan, K.
Author: Budak, H.
Author: Richmond, T.
Author: Sukhwinder-Singh
Author: Catchpole, L.
Author: Akhunov, E.
Author: Hall, A.J.W.
Year: 2019
ISSN: 2047-217X (Print)
URI: https://hdl.handle.net/10883/20172
Abstract: 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. 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 ident fied 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. 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.
Format: PDF
Language: English
Publisher: Oxford University Press
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Type: Article
Place of Publication: United Kingdom
Issue: 4
Issue: art. giz018
Volume: 8
DOI: 10.1093/gigascience/giz018
Agrovoc: WHEAT
Agrovoc: GENOMES
Agrovoc: PLANT GENETICS
Related Datasets: https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/gigascience/8/4/10.1093_gigascience_giz018/1/giz018_supplemental_files.zip?Expires=1571159090&Signature=i7XKQA1TufRluVi8PLMWHutsZ2Ml~3KvhNJ0vBJCJO9tLVGRP4I8J1JlgUrqokocpWrnNED7r5BJ0TlzgVlPO5c9RKN2mHTkwoWw59G~QT8Z2F~OVW0SiGa0UatiqIbU4nrdaAndfTDKF4Jk4mmyFvq2Hd-5-ieYzvs0Gu6KwwHpXNWpjY4C-iwTlTQ8Z~ncYR0A3t~t1z~YdzLVA0DMmNEq4AgKU~bRWSC6KGmvN9K7lT91IM3EhVQOW0iQeGg2V57KUs8cckY8rnk7GEboc8G64p8F9QZyJ8VCa3plL3vDXbA-B2fJ6h81Z3hxjEAqAW8ll7yTRd8GGGCl~lAbHA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
Journal: GigaScience


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