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Genetic architecture of cyst nematode resistance revealed by genome-wide association study in soybean

Overview of attention for article published in BMC Genomics, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

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10 tweeters
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1 Redditor

Citations

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70 Mendeley
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Title
Genetic architecture of cyst nematode resistance revealed by genome-wide association study in soybean
Published in
BMC Genomics, August 2015
DOI 10.1186/s12864-015-1811-y
Pubmed ID
Authors

T. D. Vuong, H. Sonah, C. G. Meinhardt, R. Deshmukh, S. Kadam, R. L. Nelson, J. G. Shannon, H. T. Nguyen

Abstract

Bi-parental mapping populations have been commonly utilized to identify and characterize quantitative trait loci (QTL) controlling resistance to soybean cyst nematode (SCN, Heterodera glycines Ichinohe). Although this approach successfully mapped a large number of SCN resistance QTL, it captures only limited allelic diversity that exists in parental lines, and it also has limitations for genomic resolution. In this study, a genome-wide association study (GWAS) was performed using a diverse set of 553 soybean plant introductions (PIs) belonging to maturity groups from III to V to detect QTL/genes associated with SCN resistance to HG Type 0. Over 45,000 single nucleotide polymorphism (SNP) markers generated by the SoySNP50K iSelect BeadChip (http// www.soybase.org ) were utilized for analysis. GWAS identified 14 loci distributed over different chromosomes comprising 60 SNPs significantly associated with SCN resistance. Results also confirmed six QTL that were previously mapped using bi-parental populations, including the rhg1 and Rhg4 loci. GWAS identified eight novel QTL, including QTL on chromosome 10, which we have previously mapped by using a bi-parental population. In addition to the known loci for four simple traits, such as seed coat color, flower color, pubescence color, and stem growth habit, two traits, like lodging and pod shattering, having moderately complex inheritance have been confirmed with great precision by GWAS. The study showed that GWAS can be employed as an effective strategy for identifying complex traits in soybean and for narrowing GWAS-defined genomic regions, which facilitates positional cloning of the causal gene(s).

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Brazil 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Student > Master 15 21%
Researcher 12 17%
Student > Doctoral Student 6 9%
Student > Postgraduate 4 6%
Other 10 14%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 61%
Biochemistry, Genetics and Molecular Biology 6 9%
Engineering 3 4%
Computer Science 2 3%
Business, Management and Accounting 1 1%
Other 2 3%
Unknown 13 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 May 2016.
All research outputs
#4,299,916
of 18,013,534 outputs
Outputs from BMC Genomics
#1,850
of 9,506 outputs
Outputs of similar age
#55,409
of 242,792 outputs
Outputs of similar age from BMC Genomics
#1
of 1 outputs
Altmetric has tracked 18,013,534 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,506 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 80% 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 242,792 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 77% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them