↓ Skip to main content

Genome-wide association study of blast resistance in indica rice

Overview of attention for article published in BMC Plant Biology, November 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
109 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Genome-wide association study of blast resistance in indica rice
Published in
BMC Plant Biology, November 2014
DOI 10.1186/s12870-014-0311-6
Pubmed ID
Authors

Caihong Wang, Yaolong Yang, Xiaoping Yuan, Qun Xu, Yue Feng, Hanyong Yu, Yiping Wang, Xinghua Wei

Abstract

BackgroundRice blast disease is one of the most serious and recurrent problems in rice-growing regions worldwide. Most resistance genes were identified by linkage mapping using genetic populations. We extensively examined 16 rice blast strains and a further genome-wide association study based on genotyping 0.8 million single nucleotide polymorphism variants across 366 diverse indica accessions.ResultsTotally, thirty associated loci were identified. The strongest signal (Chr11_6526998, P =1.17¿×¿10¿17) was located within the gene Os11g0225100, one of the rice Pia-blast resistance gene. Another association signal (Chr11_30606558) was detected around the QTL Pif. Our study identified the gene Os11g0704100, a disease resistance protein containing nucleotide binding site-leucine rich repeat domain, as the main candidate gene of Pif. In order to explore the potential mechanism underlying the blast resistance, we further examined a locus in chromosome 12, which was associated with CH149 (P =7.53¿×¿10¿15). The genes, Os12g0424700 and Os12g0427000, both described as kinase-like domain containing protein, were presumed to be required for the full function of this locus. Furthermore, we found some association on chromosome 3, in which it has not been reported any loci associated with rice blast resistance. In addition, we identified novel functional candidate genes, which might participate in the resistance regulation.ConclusionsThis work provides the basis of further study of the potential function of these candidate genes. A subset of true associations would be weakly associated with outcome in any given GWAS; therefore, large-scale replication is necessary to confirm our results. Future research will focus on validating the effects of these candidate genes and their functional variants using genetic transformation and transferred DNA insertion mutant screens, to verify that these genes engender resistance to blast disease in rice.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Uganda 1 <1%
Unknown 106 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 22%
Student > Ph. D. Student 23 21%
Student > Master 15 14%
Student > Doctoral Student 11 10%
Student > Bachelor 3 3%
Other 11 10%
Unknown 22 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 61%
Biochemistry, Genetics and Molecular Biology 14 13%
Computer Science 2 2%
Medicine and Dentistry 2 2%
Unspecified 1 <1%
Other 1 <1%
Unknown 22 20%
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 29 September 2015.
All research outputs
#17,732,540
of 22,771,140 outputs
Outputs from BMC Plant Biology
#1,871
of 3,237 outputs
Outputs of similar age
#248,077
of 362,492 outputs
Outputs of similar age from BMC Plant Biology
#55
of 99 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,237 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 362,492 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.