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    Genome-wide association study identifies acyl-lipid metabolism candidate genes involved in the genetic control of natural variation for seed fatty acid traits in Brassica napus L.

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    Pauli_Main_Manuscript_Combined.pdf
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    Description:
    Final Accepted Manuscript
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    Author
    Gazave, Elodie
    Tassone, Erica E.
    Baseggio, Matheus
    Cryder, Michelle
    Byriel, Kelli
    Oblath, Emily
    Lueschow, Shiloh
    Poss, Dave
    Hardy, Cody
    Wingerson, Megan
    Davis, James B.
    Abdel-Haleem, Hussein
    Grant, David M.
    Hatfield, Jerry L.
    Isbell, Terry A.
    Vigil, Merle F.
    Dyer, John M.
    Jenks, Matthew A.
    Brown, Jack
    Gore, Michael A.
    Pauli, Duke
    Show allShow less
    Affiliation
    Univ Arizona, Sch Plant Sci
    Issue Date
    2020-01-06
    Keywords
    Fatty acid metabolism
    Renewable fuel
    Pathway candidate genes
    Whole genome prediction
    Plant improvement
    
    Metadata
    Show full item record
    Publisher
    ELSEVIER
    Citation
    Gazave, E., Tassone, E. E., Baseggio, M., Cryder, M., Byriel, K., Oblath, E., … Pauli, D. (2020). Genome-wide association study identifies acyl-lipid metabolism candidate genes involved in the genetic control of natural variation for seed fatty acid traits in Brassica napus L. Industrial Crops and Products, 145, 112080. https://doi.org/10.1016/j.indcrop.2019.112080 ‌
    Journal
    INDUSTRIAL CROPS AND PRODUCTS
    Rights
    Copyright © 2019 Elsevier B.V. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Brassica napus L. represents a potential plant feedstock for the sustainable production of hydrotreated renewable fuels needed to support carbon-based energy production. However, to increase the use of plant-derived oils for energy needs, breeding efforts are required to optimize the amount and profile of fatty acids (FAs) contained in the oil extracted from B. maims seed to meet demands of the various market categories. To this end, we analyzed the genetic basis of FA content and composition of seed from a diverse panel of spring-type B. napus accessions evaluated at four US locations across multiple years. The extent of phenotypic variations for total oil content, nine FA compounds, and 14 derivative traits were found, in general, to be highly heritable. A genome-wide association study (GWAS) was conducted that detected 53 SNPs significantly associated with one or more of the 24 FA seed traits, resulting in the implicated genetic role of 12 candidate genes, four of which had two homologs each, from the acyl-lipid pathway. To our knowledge, the two detected homologs of 3-Ketoacyl-CoA thiolase (KAT), have never been associated with seed oil traits in B. napus. Through the application of whole-genome prediction, the 24 FA seed traits were generally found to have moderately high predictive abilities (70% of traits with abilities > 0.70), suggesting that these traits are highly amenable to genomic selection. Overall, our results contribute to the expanding body of knowledge regarding key enzymes in the acyl-lipid pathway at the quantitative genetic level and illustrate how genomics-assisted breeding could be leveraged to genetically improve FA seed traits in B. napus.
    Note
    24 month embargo; published online: 6 January 2020
    ISSN
    0926-6690
    DOI
    10.1016/j.indcrop.2019.112080
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.indcrop.2019.112080
    Scopus Count
    Collections
    UA Faculty Publications

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