Full TGIF Record # 278166
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Web URL(s):https://scisoc.confex.com/scisoc/2016am/webprogram/Paper99855.html
    Last checked: 11/22/2016
Publication Type:
i
Report
Content Type:Abstract or Summary only
Author(s):Yu, Xingwang; Dunne, Jeffrey C.; Pruitt, Helen McCamy; Milla-Lewis, Susana R.; Schwartz, Brian M.
Author Affiliation:Yu, Pruitt, and Milla-Lewis: Crop Science, North Carolina State University, Raleigh, NC; Dunne: North Carolina State University, Raleigh, NC; Schwartz: Department of Crop and Soil Sciences, University of Georgia - Tifton, Tifton, GA
Title:Optimization of SNP identification by the genotyping-by-sequencing (GBS) in polyploid zoysiagrass
Section:Turfgrass breeding, genetics and molecular techniques poster (includes student competition)
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Meeting Info.:Phoenix, Arizona: November 6-9, 2016
Source:ASA, CSSA and SSSA International Annual Meetings. 2016, p. 99855.
Publishing Information:[Milwaukee, Wisconsin]: [American Society of Agronomy and the Entomological Society of America]
# of Pages:1
Keywords:TIC Keywords: Genomes; Genotyping; Polyploidy; Single nucleotide polymorphism; Zoysia japonica
Cultivar Names:Victoria; Meyer
Abstract/Contents:"Single nucleotide polymorphisms (SNPs) have become a popular genetic marker in marker-assisted selection breeding. Genotyping-by-sequencing (GBS) provides a rapid and low-cost tool for SNP discovery and genotyping of breeding populations. However, SNP identification in polyploid crops is more challenging due to increased genome complexity. In this study, the GBS SNP-Calling Reference Optional Pipeline (GBS-SNP-CROP) was used to call SNPs from a GBS library of tetraploid zoysiagrass. The library was constructed for 174 F1 progeny and two parental lines (cultivars 'Meyer' and 'Victoria'). The published genome sequence of zoysiagrass (Z. japonica Steud) was used as reference genome. After optimization of depth-based genotyping criteria and population-level filters, GBS-SNP-CROP called 1,292 potential SNPs (average read depth = 9.0). All SNPs were mapped to 20 chromosomes and at least 50% individuals were genotyped. This investigation provides guidance for determining the most suitable SNP calling approach for polyploid Zoysiagrass."
Language:English
References:0
Note:This item is an abstract only!
"168-1631"
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Yu, X., J. C. Dunne, H. M. Pruitt, S. R. Milla-Lewis, and B. M. Schwartz. 2016. Optimization of SNP identification by the genotyping-by-sequencing (GBS) in polyploid zoysiagrass. Agron. Abr. p. 99855.
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    Last checked: 11/22/2016
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