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QTL mapping for downy mildew resistance in cucumber inbred line WI7120 (PI 330628)

Overview of attention for article published in Theoretical and Applied Genetics, May 2016
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Title
QTL mapping for downy mildew resistance in cucumber inbred line WI7120 (PI 330628)
Published in
Theoretical and Applied Genetics, May 2016
DOI 10.1007/s00122-016-2719-x
Pubmed ID
Authors

Yuhui Wang, Kyle VandenLangenberg, Todd C. Wehner, Peter A. G. Kraan, Jos Suelmann, Xiangyang Zheng, Ken Owens, Yiqun Weng

Abstract

Host resistance in WI7120 cucumber to prevailing downy mildew pathogen field populations is conferred by two major-effect, one moderate-effect and two minor-effect QTL. Downy mildew (DM) caused by the obligate oomycete Pseudoperonospora cubensis is the most devastating fungal disease of cucumber worldwide. The molecular mechanism of DM resistance in cucumber is poorly understood, and use of marker-assisted breeding for DM resistance is not widely available. Here, we reported QTL mapping results for DM resistance with 243 F2:3 families from the cross between DM-resistant inbred line WI7120 (PI 330628) and susceptible '9930'. A linkage map was developed with 348 SSR and SNP markers. Phenotyping of DM inoculation responses were conducted in four field trails in 2 years at three locations. Four QTL, dm2.1, dm4.1, dm5.1, and dm6.1 were consistently and reliably detected across at least three of the four environments which together could explain 62-76 % phenotypic variations (R (2)). Among them, dm4.1 and dm5.1 were major-effect QTL (R (2) = 15-30 %) with only additive effects; dm2.1 (R (2) = 5-15 %) and dm6.1 (R (2) = 4-8 %) had moderate and minor effects, respectively. Epistatic effects were detected for dm2.1 and dm6.1 with both dm4.1 and dm5.1. One additional minor-effect QTL, dm6.2 (R (2) = 3-5 %) was only detectable with the chlorosis rating criterion. All alleles contributing to DM resistance were from WI7120. This study revealed two novel QTL for DM resistance and the unique genetic architecture of DM resistance in WI7120 conferring high level resistance to prevailing DM populations in multiple countries. The effects of disease rating scales, rating time and criteria, population size in phenotyping DM resistance on the power of QTL detection, and the use of DM resistance in WI7120 in cucumber breeding were discussed.

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Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Student > Master 9 20%
Researcher 4 9%
Student > Postgraduate 2 4%
Student > Bachelor 1 2%
Other 3 7%
Unknown 13 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 64%
Biochemistry, Genetics and Molecular Biology 1 2%
Unspecified 1 2%
Chemistry 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 12 27%
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 02 August 2016.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#2,892
of 3,565 outputs
Outputs of similar age
#182,091
of 300,672 outputs
Outputs of similar age from Theoretical and Applied Genetics
#27
of 37 outputs
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So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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