Genome analysis in Avena sativa reveals hidden breeding barriers and opportunities for oat improvement

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作者
Nicholas A. Tinker
Charlene P. Wight
Wubishet A. Bekele
Weikai Yan
Eric N. Jellen
Nikos Tsardakas Renhuldt
Nick Sirijovski
Thomas Lux
Manuel Spannagl
Martin Mascher
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[1] 960 Carling Avenue,Agriculture and Agri
[2] K.W. Neatby Bldg.,Food Canada, Ottawa Research and Development Centre
[3] Central Experimental Farm,Department of Plant and Wildlife Sciences
[4] Brigham Young University,undefined
[5] Lund University,undefined
[6] Department of Chemistry,undefined
[7] Division of Pure and Applied Biochemistry,undefined
[8] CropTailor AB,undefined
[9] c/o Lund University,undefined
[10] Department of Chemistry,undefined
[11] Division of Pure and Applied Biochemistry,undefined
[12] Helmholtz Center Munich – Research Center for Environmental Health,undefined
[13] Plant Genome and Systems Biology (PGSB),undefined
[14] Leibniz Institute of Plant Genetics and Crop Plant Research (IPK),undefined
[15] Domestication Genomics,undefined
[16] German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig,undefined
[17] Oatly AB,undefined
[18] Food Science,undefined
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摘要
Oat (Avena sativa L.) is an important and nutritious cereal crop, and there is a growing need to identify genes that contribute to improved oat varieties. Here we utilize a newly sequenced and annotated oat reference genome to locate and characterize quantitative trait loci (QTLs) affecting agronomic and grain-quality traits in five oat populations. We find strong and significant associations between the positions of candidate genes and QTL that affect heading date, as well as those that influence the concentrations of oil and β-glucan in the grain. We examine genome-wide recombination profiles to confirm the presence of a large, unbalanced translocation from chromosome 1 C to 1 A, and a possible inversion on chromosome 7D. Such chromosome rearrangements appear to be common in oat, where they cause pseudo-linkage and recombination suppression, affecting the segregation, localization, and deployment of QTLs in breeding programs.
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