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Genome Wide Association Mapping in Arabidopsis thaliana Identifies Novel Genes Involved in Linking Allyl Glucosinolate to Altered Biomass and Defense

Overview of attention for article published in Frontiers in Plant Science, July 2016
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Title
Genome Wide Association Mapping in Arabidopsis thaliana Identifies Novel Genes Involved in Linking Allyl Glucosinolate to Altered Biomass and Defense
Published in
Frontiers in Plant Science, July 2016
DOI 10.3389/fpls.2016.01010
Pubmed ID
Authors

Marta Francisco, Bindu Joseph, Hart Caligagan, Baohua Li, Jason A. Corwin, Catherine Lin, Rachel E. Kerwin, Meike Burow, Daniel J. Kliebenstein

Abstract

A key limitation in modern biology is the ability to rapidly identify genes underlying newly identified complex phenotypes. Genome wide association studies (GWAS) have become an increasingly important approach for dissecting natural variation by associating phenotypes with genotypes at a genome wide level. Recent work is showing that the Arabidopsis thaliana defense metabolite, allyl glucosinolate (GSL), may provide direct feedback regulation, linking defense metabolism outputs to the growth, and defense responses of the plant. However, there is still a need to identify genes that underlie this process. To start developing a deeper understanding of the mechanism(s) that modulate the ability of exogenous allyl GSL to alter growth and defense, we measured changes in plant biomass and defense metabolites in a collection of natural 96 A. thaliana accessions fed with 50 μM of allyl GSL. Exogenous allyl GSL was introduced exclusively to the roots and the compound transported to the leaf leading to a wide range of heritable effects upon plant biomass and endogenous GSL accumulation. Using natural variation we conducted GWAS to identify a number of new genes which potentially control allyl responses in various plant processes. This is one of the first instances in which this approach has been successfully utilized to begin dissecting a novel phenotype to the underlying molecular/polygenic basis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 27%
Researcher 13 22%
Student > Master 9 15%
Student > Doctoral Student 5 8%
Student > Bachelor 2 3%
Other 8 14%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 47%
Biochemistry, Genetics and Molecular Biology 18 31%
Computer Science 2 3%
Environmental Science 1 2%
Unspecified 1 2%
Other 3 5%
Unknown 6 10%
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 28 July 2016.
All research outputs
#20,336,685
of 22,881,964 outputs
Outputs from Frontiers in Plant Science
#16,162
of 20,270 outputs
Outputs of similar age
#308,423
of 354,423 outputs
Outputs of similar age from Frontiers in Plant Science
#406
of 517 outputs
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