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dc.contributorCottage, Amandaen_US
dc.contributorWood, Thomasen_US
dc.contributorKhamassi, khalilen_US
dc.contributorHobbs, Douglasen_US
dc.contributorGostkiewicz, Krystynaen_US
dc.contributorWhite, Marken_US
dc.contributorKhazaei, Hamiden_US
dc.contributorAli, Mohameden_US
dc.contributorStreet, Danielen_US
dc.contributorDuc, Gérarden_US
dc.contributorStoddard, Frederick L.en_US
dc.contributorMaalouf, Fouaden_US
dc.contributorOgbonnaya, Francis Chuksen_US
dc.contributorLink, Wolfgangen_US
dc.contributorThomas, Janeen_US
dc.contributorO’Sullivan, Donalen_US
dc.creatorWebb, Anneen_US
dc.identifier.citationAnne Webb, Amanda Cottage, Thomas Wood, khalil Khamassi, Douglas Hobbs, Krystyna Gostkiewicz, Mark White, Hamid Khazaei, Mohamed Ali, Daniel Street, Gérard Duc, Frederick L. Stoddard, Fouad Maalouf, Francis Chuks Ogbonnaya, Wolfgang Link, Jane Thomas, Donal O’Sullivan. (1/1/2016). A SNP-based consensus genetic map for synteny-based trait targeting in faba bean (Vicia faba L. ). Plant Biotechnology Journal, 14 (1), pp. 177-185.en_US
dc.description.abstractFaba bean (Vicia faba L.) is a globally important nitrogen-fixing legume, which is widely grown in a diverse range of environments. In this work, we mine and validate a set of 845 SNPs from the aligned transcriptomes of two contrasting inbred lines. Each V. faba SNP is assigned by BLAST analysis to a single Medicago orthologue. This set of syntenically anchored polymorphisms were then validated as individual KASP assays, classified according to their informativeness and performance on a panel of 37 inbred lines, and the best performing 757 markers used to genotype six mapping populations. The six resulting linkage maps were merged into a single consensus map on which 687 SNPs were placed on six linkage groups, each presumed to correspond to one of the six V. faba chromosomes. This sequence-based consensus map was used to explore synteny with the most closely related crop species, lentil and the most closely related fully sequenced genome, Medicago. Large tracts of uninterrupted colinearity were found between faba bean and Medicago, making it relatively straightforward to predict gene content and order in mapped genetic interval. As a demonstration of this, we mapped a flower colour gene to a 2-cM interval of Vf chromosome 2 which was highly colinear with Mt3. The obvious candidate gene from 78 gene models in the collinear Medicago chromosome segment was the previously characterized MtWD40-1 gene controlling anthocyanin production in Medicago and resequencing of the Vf orthologue showed a putative causative deletion of the entire 50 end of the gene.en_US
dc.publisherAssociation of Applied Biologistsen_US
dc.sourcePlant Biotechnology Journal;14,(2015) Pagination 177-185en_US
dc.subjectsingle nucleotide polymorphismen_US
dc.subjectfaba beanen_US
dc.subjectkasp genotypingen_US
dc.titleA SNP-based consensus genetic map for synteny-based trait targeting in faba bean (Vicia faba L.)en_US
dc.typeJournal Articleen_US
cg.creator.idKhamassi, khalil: 0000-0002-3621-4460en_US
cg.creator.idStoddard, Frederick L.: 0000-0002-8097-5750en_US
cg.creator.idMaalouf, Fouad: 0000-0002-7642-7102en_US
cg.subject.agrovocfaba beanen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerIndependent / Not associateden_US
cg.contributor.centerUniversity of Helsinki - UoHen_US
cg.contributor.centerGeorg-August-Universitat Gottingen - Uni-Goettingenen_US
cg.contributor.centerNational Institute of Agricultural Botany - NIABen_US
cg.contributor.centerFrench National Research Institute for Agriculture, Food and Environment - INRAE Franceen_US
cg.contributor.centerGenomic solutions - LGC Group - LGCen_US
cg.contributor.centerUniversity of Reading, School of Agriculture, Policy and Development - UOR - SoAPDen_US
cg.contributor.funderJohn Innes Centre, Norwich Research Park - JIC - NRPen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.isijournalISI Journalen_US
dc.identifier.statusOpen accessen_US
cg.journalPlant Biotechnology Journalen_US

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