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Construction of a genome-anchored, high-density genetic map for melon (Cucumis melo L.) and identification of Fusarium oxysporum f. sp. melonis race 1 resistance QTL

Overview of attention for article published in Theoretical and Applied Genetics, January 2018
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Title
Construction of a genome-anchored, high-density genetic map for melon (Cucumis melo L.) and identification of Fusarium oxysporum f. sp. melonis race 1 resistance QTL
Published in
Theoretical and Applied Genetics, January 2018
DOI 10.1007/s00122-017-3039-5
Pubmed ID
Authors

Sandra E. Branham, Amnon Levi, Melanie Katawczik, Zhangjun Fei, W. Patrick Wechter

Abstract

Four QTLs and an epistatic interaction were associated with disease severity in response to inoculation with Fusarium oxysporum f. sp. melonis race 1 in a recombinant inbred line population of melon. The USDA Cucumis melo inbred line, MR-1, harbors a wealth of alleles associated with resistance to several major diseases of melon, including powdery mildew, downy mildew, Alternaria leaf blight, and Fusarium wilt. MR-1 was crossed to an Israeli cultivar, Ananas Yok'neam, which is susceptible to all of these diseases, to generate a recombinant inbred line (RIL) population of 172 lines. In this study, the RIL population was genotyped to construct an ultra-dense genetic linkage map with 5663 binned SNPs anchored to the C. melo genome and exhibits the overall high quality of the assembly. The utility of the densely genotyped population was demonstrated through QTL mapping of a well-studied trait, resistance to Fusarium wilt caused by Fusarium oxysporum f. sp. melonis (Fom) race 1. A major QTL co-located with the previously validated resistance gene Fom-2. In addition, three minor QTLs and an epistatic interaction contributing to Fom race 1 resistance were identified. The MR-1 × AY RIL population provides a valuable resource for future QTL mapping studies and marker-assisted selection of disease resistance in melon.

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Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 18%
Student > Ph. D. Student 6 13%
Researcher 5 11%
Professor > Associate Professor 2 4%
Student > Bachelor 1 2%
Other 2 4%
Unknown 21 47%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 44%
Biochemistry, Genetics and Molecular Biology 4 9%
Computer Science 1 2%
Medicine and Dentistry 1 2%
Unknown 19 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 February 2018.
All research outputs
#18,530,416
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#3,046
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Outputs of similar age
#314,923
of 444,791 outputs
Outputs of similar age from Theoretical and Applied Genetics
#27
of 41 outputs
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