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Loci and candidate genes conferring resistance to soybean cyst nematode HG type 2.5.7

Overview of attention for article published in BMC Genomics, June 2017
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Title
Loci and candidate genes conferring resistance to soybean cyst nematode HG type 2.5.7
Published in
BMC Genomics, June 2017
DOI 10.1186/s12864-017-3843-y
Pubmed ID
Authors

Xue Zhao, Weili Teng, Yinghui Li, Dongyuan Liu, Guanglu Cao, Dongmei Li, Lijuan Qiu, Hongkun Zheng, Yingpeng Han, Wenbin Li

Abstract

Soybean (Glycine max L. Merr.) cyst nematode (SCN, Heterodera glycines I,) is a major pest of soybean worldwide. The most effective strategy to control this pest involves the use of resistant cultivars. The aim of the present study was to investigate the genome-wide genetic architecture of resistance to SCN HG Type 2.5.7 (race 1) in landrace and elite cultivated soybeans. A total of 200 diverse soybean accessions were screened for resistance to SCN HG Type 2.5.7 and genotyped through sequencing using the Specific Locus Amplified Fragment Sequencing (SLAF-seq) approach with a 6.14-fold average sequencing depth. A total of 33,194 SNPs were identified with minor allele frequencies (MAF) over 4%, covering 97% of all the genotypes. Genome-wide association mapping (GWAS) revealed thirteen SNPs associated with resistance to SCN HG Type 2.5.7. These SNPs were distributed on five chromosomes (Chr), including Chr7, 8, 14, 15 and 18. Four SNPs were novel resistance loci and nine SNPs were located near known QTL. A total of 30 genes were identified as candidate genes underlying SCN resistance. A total of sixteen novel soybean accessions were identified with significant resistance to HG Type 2.5.7. The beneficial alleles and candidate genes identified by GWAS might be valuable for improving marker-assisted breeding efficiency and exploring the molecular mechanisms underlying SCN resistance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Student > Master 6 13%
Researcher 5 11%
Student > Doctoral Student 4 9%
Professor > Associate Professor 3 6%
Other 6 13%
Unknown 13 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 38%
Biochemistry, Genetics and Molecular Biology 7 15%
Business, Management and Accounting 2 4%
Computer Science 1 2%
Immunology and Microbiology 1 2%
Other 1 2%
Unknown 17 36%
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 20 February 2018.
All research outputs
#15,465,171
of 22,981,247 outputs
Outputs from BMC Genomics
#6,719
of 10,687 outputs
Outputs of similar age
#199,350
of 317,509 outputs
Outputs of similar age from BMC Genomics
#141
of 210 outputs
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We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.