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亚麻籽(Linum usitatissimum L.)脂肪酸组成和产量的 QTL。

QTL for fatty acid composition and yield in linseed (Linum usitatissimum L.).

机构信息

Department of Plant Science, University of Manitoba, 66 Dafoe Road, Winnipeg, MB, R3T 2N2, Canada.

出版信息

Theor Appl Genet. 2015 May;128(5):965-84. doi: 10.1007/s00122-015-2483-3. Epub 2015 Mar 8.

DOI:10.1007/s00122-015-2483-3
PMID:25748113
Abstract

The combined SSR-SNP map and 20 QTL for agronomic and quality traits will assist in marker assisted breeding as well as map-based cloning of key genes in linseed. Flax is an important nutraceutical crop mostly because it is a rich source of omega-3 fatty acids and antioxidant compounds. Canada is the largest producer and exporter of oilseed flax (or linseed), creating a growing need to improve crop productivity and quality. In this study, a genetic map was constructed based on selected 329 single nucleotide polymorphic markers and 362 simple sequence repeat markers using a recombinant inbred line population of 243 individuals from a cross between the Canadian varieties CDC Bethune and Macbeth. The genetic map consisted of 15 linkage groups comprising 691 markers with an average marker density of one marker every 1.9 cM. A total of 20 quantitative trait loci (QTL) were identified corresponding to 14 traits. Three QTL each for oleic acid and stearic acid, two QTL each for linoleic acid and iodine value and one each for palmitic acid, linolenic acid, oil content, seed protein, cell wall, straw weight, thousand seed weight, seeds per boll, yield and days to maturity were identified. The QTL for cell wall, straw weight, seeds per boll, yield and days to maturity all co-located on linkage group 4. Analysis of the candidate gene regions underlying the QTL identified proteins involved in cell wall and fibre synthesis, fatty acid biosynthesis as well as their metabolism and yield component traits. This study provides the foundation for assisting in map-based cloning of the QTL and marker assisted selection of a wide range of quality and agronomic traits in linseed and potentially fibre flax.

摘要

SSR-SNP 联合图谱和 20 个农艺和品质性状 QTL 将有助于辅助标记选择育种以及亚麻中关键基因的图谱定位克隆。亚麻是一种重要的营养作物,主要因为它是 ω-3 脂肪酸和抗氧化化合物的丰富来源。加拿大是最大的油用亚麻(或亚麻籽)生产国和出口国,这对提高作物生产力和品质的需求日益增长。本研究利用加拿大品种 CDC Bethune 和 Macbeth 杂交的 243 个重组自交系群体,选择了 329 个单核苷酸多态性标记和 362 个简单序列重复标记,构建了遗传图谱。遗传图谱由 15 个连锁群组成,包含 691 个标记,平均每个标记间隔 1.9 cM。共鉴定到 20 个数量性状位点(QTL),对应 14 个性状。油酸和硬脂酸各有 3 个 QTL,亚油酸和碘值各有 2 个 QTL,棕榈酸、亚麻酸、油分、种子蛋白、细胞壁、秸秆重、千粒重、每铃粒数、产量和成熟天数各有 1 个 QTL。细胞壁、秸秆重、每铃粒数、产量和成熟天数的 QTL均位于第 4 个连锁群上。对 QTL 候选基因区域的分析确定了参与细胞壁和纤维合成、脂肪酸生物合成及其代谢以及产量构成性状的蛋白质。本研究为协助亚麻 QTL 的图谱定位克隆以及广泛的品质和农艺性状的标记辅助选择奠定了基础,对纤维亚麻也具有潜在的应用价值。

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本文引用的文献

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J Appl Genet. 2014 Nov;55(4):423-32. doi: 10.1007/s13353-014-0222-0. Epub 2014 May 29.
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Association mapping of seed quality traits using the Canadian flax (Linum usitatissimum L.) core collection.利用加拿大亚麻(Linum usitatissimum L.)核心种质对种子品质性状进行关联分析。
Theor Appl Genet. 2014 Apr;127(4):881-96. doi: 10.1007/s00122-014-2264-4. Epub 2014 Jan 26.
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Phylogenetic pinpointing of a paleopolyploidy event within the flax genus (Linum) using transcriptomics.
利用多位点全基因组关联研究对亚麻籽千粒重进行遗传剖析。
Front Plant Sci. 2023 Jun 2;14:1166728. doi: 10.3389/fpls.2023.1166728. eCollection 2023.
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Diversity of genetic resources in global genebanks: from agro-morphological characterisation to novel genomic technologies - a review.全球基因库中遗传资源的多样性:从农业形态特征描述到新型基因组技术——综述
Front Nutr. 2023 Jun 1;10:1165580. doi: 10.3389/fnut.2023.1165580. eCollection 2023.
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Genetic Determinants of Fiber-Associated Traits in Flax Identified by Omics Data Integration.通过组学数据整合鉴定亚麻纤维相关性状的遗传决定因素。
Int J Mol Sci. 2022 Nov 22;23(23):14536. doi: 10.3390/ijms232314536.
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Quantitative Trait Locus Mapping of Marsh Spot Disease Resistance in Cranberry Common Bean ( L.).蔓越莓菜豆(L.)抗麻点病数量性状基因座定位。
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Identification of QTNs Associated With Flowering Time, Maturity, and Plant Height Traits in L. Using Genome-Wide Association Study.利用全基因组关联研究鉴定番茄中与开花时间、成熟度和株高性状相关的QTNs 。
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Insights into the Genetic Architecture and Genomic Prediction of Powdery Mildew Resistance in Flax ( L.).亚麻( L.)白粉病抗性的遗传结构和基因组预测的见解。
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Mol Plant. 2014 Mar;7(3):573-7. doi: 10.1093/mp/sst153. Epub 2013 Oct 31.
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Carbohydr Polym. 2013 Jul 1;96(1):1-8. doi: 10.1016/j.carbpol.2013.03.074. Epub 2013 Mar 29.
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Using the candidate gene approach for detecting genes underlying seed oil concentration and yield in soybean.利用候选基因方法检测大豆种子含油量和产量的相关基因。
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PLoS Genet. 2013;9(3):e1003347. doi: 10.1371/journal.pgen.1003347. Epub 2013 Mar 7.