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Analysis of Extreme Phenotype Bulk Copy Number Variation (XP-CNV) Identified the Association of rp1 with Resistance to Goss's Wilt of Maize

Overview of attention for article published in Frontiers in Plant Science, February 2018
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Title
Analysis of Extreme Phenotype Bulk Copy Number Variation (XP-CNV) Identified the Association of rp1 with Resistance to Goss's Wilt of Maize
Published in
Frontiers in Plant Science, February 2018
DOI 10.3389/fpls.2018.00110
Pubmed ID
Authors

Ying Hu, Jie Ren, Zhao Peng, Arnoldo A. Umana, Ha Le, Tatiana Danilova, Junjie Fu, Haiyan Wang, Alison Robertson, Scot H. Hulbert, Frank F. White, Sanzhen Liu

Abstract

Goss's wilt (GW) of maize is caused by the Gram-positive bacteriumClavibacter michiganensissubsp.nebraskensis(Cmn) and has spread in recent years throughout the Great Plains, posing a threat to production. The genetic basis of plant resistance is unknown. Here, a simple method for quantifying disease symptoms was developed and used to select cohorts of highly resistant and highly susceptible lines known as extreme phenotypes (XP). Copy number variation (CNV) analyses using whole genome sequences of bulked XP revealed 141 genes containing CNV between the two XP groups. The CNV genes include the previously identified common rust resistant locusrp1. MultipleRp1accessions with distinctrp1haplotypes in an otherwise susceptible accession exhibited hypersensitive responses upon inoculation. GW provides an excellent system for the genetic dissection of diseases caused by closely related subspecies ofC. michiganesis. Further work will facilitate breeding strategies to control GW and provide needed insight into the resistance mechanism of important related diseases such as bacterial canker of tomato and bacterial ring rot of potato.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 19%
Student > Master 4 13%
Student > Doctoral Student 3 10%
Researcher 3 10%
Student > Postgraduate 2 6%
Other 4 13%
Unknown 9 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 55%
Biochemistry, Genetics and Molecular Biology 3 10%
Unspecified 1 3%
Unknown 10 32%
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 21 February 2018.
All research outputs
#18,587,406
of 23,023,224 outputs
Outputs from Frontiers in Plant Science
#14,002
of 20,556 outputs
Outputs of similar age
#331,978
of 442,608 outputs
Outputs of similar age from Frontiers in Plant Science
#349
of 441 outputs
Altmetric has tracked 23,023,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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