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Article details
Title
High‐density genome‐wide association mapping implicates an F‐box encoding gene in Medicago truncatula resistance to Aphanomyces euteiches
Published in
New Phytologist, November 2013
DOI 10.1111/nph.12611
Pubmed ID
Authors
Abstract

• The use of quantitative disease resistance (QDR) is a promising strategy for promoting durable resistance to plant pathogens, but genes involved in QDR are largely unknown. To identify genetic components and accelerate improvement of QDR in legumes to the root pathogen Aphanomyces euteiches, we took advantage of both the recently generated massive genomic data for Medicago truncatula and natural variation of this model legume. • A high-density (≈5.1 million single nucleotide polymorphisms (SNPs)) genome-wide association study (GWAS) was performed with both in vitro and glasshouse phenotyping data collected for 179 lines. • GWAS identified several candidate genes and pinpointed two independent major loci on the top of chromosome 3 that were detected in both phenotyping methods. Candidate SNPs in the most significant locus (σ(A)²= 23%) were in the promoter and coding regions of an F-box protein coding gene. Subsequent qRT-PCR and bioinformatic analyses performed on 20 lines demonstrated that resistance is associated with mutations directly affecting the interaction domain of the F-box protein rather than gene expression. • These results refine the position of previously identified QTL to specific candidate genes, suggest potential molecular mechanisms, and identify new loci explaining QDR against A. euteiches.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
France 2 2%
United States 1 <1%
Unknown 108 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 29 26%
Student > Ph. D. Student 22 20%
Student > Master 16 14%
Student > Postgraduate 7 6%
Other 6 5%
Other 11 10%
Unknown 20 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 73 66%
Biochemistry, Genetics and Molecular Biology 12 11%
Computer Science 3 3%
Environmental Science 2 2%
Earth and Planetary Sciences 1 <1%
Other 2 2%
Unknown 18 16%
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 30 September 2014.
All research outputs
#19,160,620
of 27,791,244 outputs
Outputs from New Phytologist
#9,408
of 10,566 outputs
Outputs of similar age
#218,949
of 329,696 outputs
Outputs of similar age from New Phytologist
#88
of 115 outputs
Altmetric has tracked 27,791,244 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,566 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 8th percentile – i.e., 8% 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 329,696 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.