論文

査読有り
2019年

QTL analysis of resistance to bacterial wilt caused by Ralstonia solanacearum in potato

BREEDING SCIENCE
  • Ippei Habe
  • ,
  • Koji Miyatake
  • ,
  • Tsukasa Nunome
  • ,
  • Masanori Yamasaki
  • ,
  • Takeshi Hayashi

69
4
開始ページ
592
終了ページ
600
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1270/jsbbs.19059
出版者・発行元
JAPANESE SOC BREEDING

Ralstonia solanacearum causes bacterial wilt, a soil-borne disease and one of the most important maladies of potato and other Solanaceae crops. We analyzed the resistance of a potato clone to bacterial wilt by quantitative trait locus (QTL) analysis. A resistant diploid potato clone 10-03-30 was crossed with a susceptible diploid clone F-1-1 to generate a diploid, two-way pseudo-testcross F-1 population comprised of 94 genotypes. Dense linkage maps, containing 4,139 single nucleotide polymorphism markers with an average distance of 0.6 and 0.3 cM between markers, were constructed for both parents. The resistance level was evaluated by in vitro inoculation test with R. solanacearum (phylotype I/biovar 4/race 1). Five QTLs (qBWR-1 to -5) were identified on potato chromosomes 1, 3, 7, 10, and 11, and they explained 9.3-18.4% of the phenotypic variance. The resistant parent had resistant alleles in qBWR-2, qBWR-3, and qBWR-4 and susceptible alleles in qBWR-1 and qBWR-5. Accumulation of the resistant alleles in all five QTLs increased the level of resistance compared with that of the resistant parent. This is the first study to identify novel QTLs for bacterial wilt resistance in potato by using genome-wide markers.

リンク情報
DOI
https://doi.org/10.1270/jsbbs.19059
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/31988623
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977455
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000504401200005&DestApp=WOS_CPL
ID情報
  • DOI : 10.1270/jsbbs.19059
  • ISSN : 1344-7610
  • eISSN : 1347-3735
  • PubMed ID : 31988623
  • PubMed Central 記事ID : PMC6977455
  • Web of Science ID : WOS:000504401200005

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