Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/117361
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWatson-Haigh, N.en
dc.contributor.authorSuchecki, R.en
dc.contributor.authorKalashyan, E.en
dc.contributor.authorGarcia, M.en
dc.contributor.authorBaumann, U.en
dc.date.issued2018en
dc.identifier.citationBMC Genomics, 2018; 19(1):941-1-941-20en
dc.identifier.issn1471-2164en
dc.identifier.issn1471-2164en
dc.identifier.urihttp://hdl.handle.net/2440/117361-
dc.description.abstractBackground: Democratising the growing body of whole genome sequencing data available for Triticum aestivum (bread wheat) has been impeded by the lack of a genome reference and the large computational requirements for analysing these data sets. Results: DAWN (Diversity Among Wheat geNomes) integrates data from the T. aestivum Chinese Spring (CS) IWGSC RefSeq v1.0 genome with public WGS and exome data from 17 and 62 accessions respectively, enabling researchers and breeders alike to investigate genotypic differences between wheat accessions at the level of whole chromosomes down to individual genes. Conclusions: Using DAWN we show that it is possible to visualise small and large chromosomal deletions, identify haplotypes at a glance and spot the consequences of selective breeding. DAWN allows us to detect the break points of alien introgression segments brought into an accession when transferring desired genes. Furthermore, we can find possible explanations for reduced recombination in parts of a chromosome, we can predict regions with linkage drag, and also look at diversity in centromeric regions.en
dc.description.statementofresponsibilityNathan S. Watson-Haigh, Radosław Suchecki, Elena Kalashyan, Melissa Garcia and Ute Baumannen
dc.language.isoenen
dc.publisherBioMed Centralen
dc.rights© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectWheat; diversity; variants; genome; visualisationen
dc.titleDAWN: a resource for yielding insights into the diversity among wheat genomesen
dc.typeJournal articleen
dc.identifier.rmid0030105915en
dc.identifier.doi10.1186/s12864-018-5228-2en
dc.identifier.pubid453303-
pubs.library.collectionAgriculture, Food and Wine publicationsen
pubs.library.teamDS14en
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Agriculture, Food and Wine publications

Files in This Item:
File Description SizeFormat 
hdl_117361.pdfPublished version8.15 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.