当前位置: X-MOL 学术Eur. J. Plant Pathol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Identification of genomic regions associated with resistance to blackleg (Leptosphaeria maculans) in canola using genome wide association study
European Journal of Plant Pathology ( IF 1.7 ) Pub Date : 2021-08-25 , DOI: 10.1007/s10658-021-02354-0
Seyedmojtaba Mansouripour 1 , Fereshteh Shahoveisi 1 , Luis E. del Río Mendoza 1 , Atena Oladzad 2 , Md. Mukhlesur Rahman 2 , Sujan Mamidi 3 , Samira Mafi Moghaddam 4
Affiliation  

Blackleg, caused by Leptosphaeria maculans, is a serious threat to canola (B. napus) production in North Dakota state that is its largest producer in the United States. Genome-wide association study (GWAS) was conducted on a set of 213 B. napus accessions inoculated with a mixture of five L. maculans isolates from pathogenicity group-four (PG-4) to identify genetic regions associated with resistance to this disease. Phenotypic data was obtained at the seedling stage using a 1–9 severity scale. This data was used to generate two binary (binary_3 and binary_5), and two polynomial (polynomial_median and polynomial_3) subsets. Using the median_severity phenotypic dataset (original) three significant markers were identified. By using the other four subsets five additional markers were detected. These eight significant markers (P < 0.00036) were distributed among chromosomes A1, A3, A6, A8, A9, C3, and C5. Two sets of three markers identified using the median_severity (original) and the polynomial_ median datasets, had the highest cumulative R2 values; they explained 36% and 34% of the phenotypic variation, respectively. A BLAST search within ±100 kb of these markers identified five genetic regions involved in the plant defense system. Information presented in this paper shows the benefit of using multiple arrangements of the same phenotypic dataset in GWAS. Furthermore, the markers and their allelic combinations identified in this study are valuable resources that could facilitate marker assisted selection to transfer blackleg resistance into modern breeding lines.



中文翻译:

使用全基因组关联研究鉴定油菜中与黑腿病(Leptosphaeria maculans)抗性相关的基因组区域

黑胫病,引起十字花科小球腔,是油菜(构成严重威胁油菜)产量在北达科他州是其在美国最大的生产国。全基因组关联研究 (GWAS) 是在一组 213 种欧洲油菜种质上进行的,这些种质接种了五种L. maculans的混合物从致病性组四 (PG-4) 中分离出与对这种疾病的抗性相关的遗传区域。表型数据是在幼苗阶段使用 1-9 严重度等级获得的。该数据用于生成两个二进制(binary_3 和 binary_5)和两个多项式(polynomial_median 和 polynomial_3)子集。使用median_severity 表型数据集(原始)确定了三个重要标记。通过使用其他四个子集,检测到五个额外的标记。这八个显着标记 ( P  < 0.00036) 分布在染色体 A1、A3、A6、A8、A9、C3 和 C5 中。使用median_severity(原始)和polynomial_median 数据集识别的两组三个标记,具有最高的累积R 2价值观;他们分别解释了 36% 和 34% 的表型变异。在这些标记的 ±100 kb 范围内进行 BLAST 搜索,确定了涉及植物防御系统的五个遗传区域。本文中提供的信息显示了在 GWAS 中使用相同表型数据集的多种排列的好处。此外,本研究中鉴定的标记及其等位基因组合是有价值的资源,可以促进标记辅助选择,将黑腿病抗性转移到现代育种系中。

更新日期:2021-08-26
down
wechat
bug