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Genome-wide association study reveals a set of genes associated with resistance to the Mediterranean corn borer (Sesamia nonagrioides L.) in a maize diversity panel

Overview of attention for article published in BMC Plant Biology, February 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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Title
Genome-wide association study reveals a set of genes associated with resistance to the Mediterranean corn borer (Sesamia nonagrioides L.) in a maize diversity panel
Published in
BMC Plant Biology, February 2015
DOI 10.1186/s12870-014-0403-3
Pubmed ID
Authors

Luis Fernando Samayoa, Rosa Ana Malvar, Bode A Olukolu, James B Holland, Ana Butrón

Abstract

BackgroundCorn borers are the primary maize pest; their feeding on the pith results in stem damage and yield losses. In this study, we performed a genome-wide association study (GWAS) to identify SNPs associated with resistance to Mediterranean corn borer in a maize diversity panel using a set of more than 240,000 SNPs.ResultsTwenty five SNPs were significantly associated with three resistance traits: 10 were significantly associated with tunnel length, 4 with stem damage, and 11 with kernel resistance. Allelic variation at each significant SNP was associated with from 6 to 9% of the phenotypic variance. A set of genes containing or physically close to these SNPs are proposed as candidate genes for borer resistance, supported by their involvement in plant defense-related mechanisms in previously published evidence. The linkage disequilibrium decayed (r 2¿<¿0.10) rapidly within short distance, suggesting high resolution of GWAS associations.ConclusionsMost of the candidate genes found in this study are part of signaling pathways, others act as regulator of expression under biotic stress condition, and a few genes are encoding enzymes with antibiotic effect against insects such as the cystatin1 gene and the defensin proteins. These findings contribute to the understanding the complex relationship between plant-insect interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 103 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%
Brazil 1 <1%
Unknown 100 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 24%
Student > Ph. D. Student 17 17%
Student > Master 10 10%
Student > Postgraduate 7 7%
Student > Doctoral Student 6 6%
Other 19 18%
Unknown 19 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 65%
Biochemistry, Genetics and Molecular Biology 10 10%
Linguistics 1 <1%
Environmental Science 1 <1%
Computer Science 1 <1%
Other 3 3%
Unknown 20 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 16 January 2016.
All research outputs
#2,655,478
of 25,371,288 outputs
Outputs from BMC Plant Biology
#128
of 3,588 outputs
Outputs of similar age
#36,355
of 360,639 outputs
Outputs of similar age from BMC Plant Biology
#3
of 86 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,588 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 96% of its peers.
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 360,639 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.