Genome-wide Association Study Identifies New Loci for Resistance to Sclerotinia Stem Rot in .

Genome-wide Association Study Identifies New Loci for Resistance to Sclerotinia Stem Rot in .

Wu, Jian;Zhao, Qing;Liu, Sheng;Shahid, Muhammad;Lan, Lei;Cai, Guangqin;Zhang, Chunyu;Fan, Chuchuan;Wang, Youping;Zhou, Yongming;
Frontiers in plant science 2016 Vol. 7 pp. 1418
233
wu2016genomewidefrontiers

Abstract

Sclerotinia stem rot (SSR) caused by the necrotrophic fungus is a major disease in rapeseed () worldwide. Breeding for SSR resistance in , as in other crops, relies only on germplasms with quantitative resistance genes. A better understanding of the genetic basis for SSR resistance in thus holds promise for the genetic improvement of disease resistance. In the present study, a genome-wide association study (GWAS) for SSR resistance in were performed using an association panel of 448 accessions genotyped with the 60K Infinium single-nucleotide polymorphism (SNP) array. A total of 26 SNPs corresponding to three loci, , , and were associated with SSR resistance. Haplotype analysis showed that the three favorable alleles for SSR resistance exhibited cumulative effects. After aligning SSR resistance quantitative trait loci (QTL) identified in the present and previous studies to the reference genome, one locus () was found to be located within the confidence interval of a QTL identified in previous QTL mapping studies and another two loci ( and ) were considered novel loci for SSR resistance. A total of 39 candidate genes were predicted for the three loci based on the GWAS combining with the differentially expressed genes identified in previous transcriptomics analyses.

Citation

ID: 98339
Ref Key: wu2016genomewidefrontiers
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
98339
Unique Identifier:
aee64149f4d2a9adbe7ebb72cbdf9e23
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet