鉴定两个控制亚麻对镰刀菌枯萎病抗性的 QTLs

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology Biophysics Pub Date : 2024-07-04 DOI:10.1134/s0006350924700076
T. A. Rozhmina, A. A. Kanapin, M. P. Bankin, M. G. Samsonova
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引用次数: 0

摘要

大宗分离分析(BSA)用于分析两个亚麻品种杂交产生的 F2 群体,这两个亚麻品种在镰刀菌枯萎病抗性基因上存在差异。亚麻枯萎病的病原菌 Fusarium oxysporum f. sp. lini 是亚麻的主要病原体之一,对全球亚麻生产造成了巨大的经济损失。对对镰刀菌枯萎病高度抗性和敏感的 F2 植株的 DNA 池进行测序和后续分析,发现 9 号和 13 号染色体上的两个区域对镰刀菌枯萎病具有抗性。后续分析的候选基因是通过功能基因注释和因感染抗镰刀菌的 Atalante 品种而获得的转录组数据中 QTL 区域的基因表达分析选出的。结合这两种方法后,每个 QTL 区域都确定了三个基因,根据已发表的数据,这些基因参与了植物对感染的反应,并在转录组实验中得到了差异表达。
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Identification of Two QTLs Controlling Flax Resistance to Fusarium Wilt

A bulk segregant analysis (BSA) was used to analyze the F2 population from crossing two flax varieties that differ in fusarium wilt resistance genes. The causative agent of this disease, the fungus Fusarium oxysporum f. sp. lini is one of the main pathogens of flax, causing huge economic damage to its global production. Sequencing of DNA pools of highly resistant and sensitive to fusarium wilt F2 plants and their subsequent analysis identified two regions on chromosomes 9 and 13 that caused resistance to fusarium wilt. Candidate genes for subsequent analysis are selected by functional gene annotation and analysis of gene expression of QTL regions in the transcriptomic data obtained as a result of the infection of the fusarium-resistant Atalante variety. As a result of combining the two approaches, three genes are identified in each of the QTL regions, which, according to the published data, are involved in the plant’s response to infection and are differentially expressed in the transcriptome experiment.

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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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