4.6 Article

Copy Number Variation among Resistance Genes Analogues in Brassica napus

期刊

GENES
卷 13, 期 11, 页码 -

出版社

MDPI
DOI: 10.3390/genes13112037

关键词

canola; disease resistance; genomic structural variation; oilseed crops

资金

  1. Australia Research Council [DP1601004497, LP160100030, DP210100296, DP200100762, DE210100398]
  2. Pawsey Supercomputing Centre
  3. Australian Government
  4. Government ofWestern Australia
  5. Australian Research Council [DE210100398] Funding Source: Australian Research Council

向作者/读者索取更多资源

Copy number variations (CNVs) in resistance gene analogues (RGAs) were investigated in eight Brassica napus lines. The results showed that CNVs were more likely to occur in clustered RGAs and some RGAs were affected by CNV and linked to blackleg resistance genes. The study highlighted the diversity and genetic properties of CNVs in B. napus and their importance in breeding advanced canola lines.
Copy number variations (CNVs) are defined as deletions, duplications and insertions among individuals of a species. There is growing evidence that CNV is a major factor underlining various autoimmune disorders and diseases in humans; however, in plants, especially oilseed crops, the role of CNVs in disease resistance is not well studied. Here, we investigate the genome-wide diversity and genetic properties of CNVs in resistance gene analogues (RGAs) across eight Brassica napus lines. A total of 1137 CNV events (704 deletions and 433 duplications) were detected across 563 RGAs. The results show CNVs are more likely to occur across clustered RGAs compared to singletons. In addition, 112 RGAs were linked to a blackleg resistance QTL, of which 25 were affected by CNV. Overall, we show that the presence and abundance of CNVs differ between lines, suggesting that in B. napus, the distribution of CNVs depends on genetic background. Our findings advance the understanding of CNV as an important type of genomic structural variation in B. napus and provide a resource to support breeding of advanced canola lines.

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