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Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea

Overview of attention for article published in BMC Genomics, August 2016
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Title
Genome-wide association mapping of partial resistance to Phytophthora sojae in soybean plant introductions from the Republic of Korea
Published in
BMC Genomics, August 2016
DOI 10.1186/s12864-016-2918-5
Pubmed ID
Authors

Rhiannon Schneider, William Rolling, Qijian Song, Perry Cregan, Anne E. Dorrance, Leah K. McHale

Abstract

Phytophthora root and stem rot is one of the most yield-limiting diseases of soybean [Glycine max (L.) Merr], caused by the oomycete Phytophthora sojae. Partial resistance is controlled by several genes and, compared to single gene (Rps gene) resistance to P. sojae, places less selection pressure on P. sojae populations. Thus, partial resistance provides a more durable resistance against the pathogen. In previous work, plant introductions (PIs) originating from the Republic of Korea (S. Korea) have shown to be excellent sources for high levels of partial resistance against P. sojae. Resistance to two highly virulent P. sojae isolates was assessed in 1395 PIs from S. Korea via a greenhouse layer test. Lines exhibiting possible Rps gene immunity or rot due to other pathogens were removed and the remaining 800 lines were used to identify regions of quantitative resistance using genome-wide association mapping. Sixteen SNP markers on chromosomes 3, 13 and 19 were significantly associated with partial resistance to P. sojae and were grouped into seven quantitative trait loci (QTL) by linkage disequilibrium blocks. Two QTL on chromosome 3 and three QTL on chromosome 19 represent possible novel loci for partial resistance to P. sojae. While candidate genes at QTL varied in their predicted functions, the coincidence of QTLs 3-2 and 13-1 on chromosomes 3 and 13, respectively, with Rps genes and resistance gene analogs provided support for the hypothesized mechanism of partial resistance involving weak R-genes. QTL contributing to partial resistance towards P. sojae in soybean germplasm originating from S. Korea were identified. The QTL identified in this study coincide with previously reported QTL, Rps genes, as well as novel loci for partial resistance. Molecular markers associated with these QTL can be used in the marker-assisted introgression of these alleles into elite cultivars. Annotations of genes within QTL allow hypotheses on the possible mechanisms of partial resistance to P. sojae.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 28%
Student > Ph. D. Student 12 26%
Student > Master 6 13%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 4 9%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 72%
Unspecified 1 2%
Environmental Science 1 2%
Business, Management and Accounting 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 2 4%
Unknown 7 15%
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 23 May 2017.
All research outputs
#17,812,370
of 22,882,389 outputs
Outputs from BMC Genomics
#7,583
of 10,668 outputs
Outputs of similar age
#259,000
of 355,869 outputs
Outputs of similar age from BMC Genomics
#192
of 265 outputs
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So far Altmetric has tracked 10,668 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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