Single-Nucleotide Polymorphism Genotyping in Mapping Populations via Genomic Reduction and Next-Generation Sequencing: Proof of Concept

被引:19
|
作者
Maughan, Peter J. [1 ]
Yourstone, Scott M. [1 ]
Byers, Robert L. [1 ]
Smith, Scott M. [1 ]
Udall, Joshua A. [1 ]
机构
[1] Brigham Young Univ, Dep Plant & Wildlife Sci, Provo, UT 84602 USA
来源
PLANT GENOME | 2010年 / 3卷 / 03期
关键词
D O I
10.3835/plantgenome2010.07.0016
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
We report the results of a proof-of-concept experiment that validates the use of multiplex identifier (MID) barcodes and next-generation sequencing (454-pyrosequencing and Illumina GAIIe) to simultaneously discover and genotype single nucleotide polymorphisms (SNPs) from mapping populations using pooled genomic reduction libraries. The genomic reduction library utilized here consisted of 60 individuals from an Arabidopsis thaliana (L.) Heynh. mapping population. A total of 1720 and 504 SNPs were de novo identified and genotyped across the mapping population using only bioinformatic analyses of the progeny sequence fragments from the 454-pyrosequencing and Illumina datasets, respectively. The average base coverage at the SNPs was 4.5x for the 454-pyrosequencing dataset and 18.2x for the Illumina dataset. Cross validation of the genotypic scores between datasets showed 99.91% accuracy. Linkage mapping with the 454-pyrosequencing dataset produced five highly supported linkage groups that were collinear with the Arabidopsis physical map (r = 0.981), further validating the accuracy of the genotyping method. The unadjusted cost per data point ranged from US$0.07 to $0.147, suggesting that the technique could be broadly used for large-scale genotyping and has particular value for plant species with limited monetary resources as it circumvents the need for post-SNP discovery genotype assay development.
引用
收藏
页码:166 / 178
页数:13
相关论文
共 50 条
  • [31] Single nucleotide polymorphism discovery from wheat next-generation sequence data
    Lai, Kaitao
    Duran, Chris
    Berkman, Paul J.
    Lorenc, Michal T.
    Stiller, Jiri
    Manoli, Sahana
    Hayden, Matthew J.
    Forrest, Kerrie L.
    Fleury, Delphine
    Baumann, Ute
    Zander, Manuel
    Mason, Annaliese S.
    Batley, Jacqueline
    Edwards, David
    PLANT BIOTECHNOLOGY JOURNAL, 2012, 10 (06) : 743 - 749
  • [32] SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors
    Goya, Rodrigo
    Sun, Mark G. F.
    Morin, Ryan D.
    Leung, Gillian
    Ha, Gavin
    Wiegand, Kimberley C.
    Senz, Janine
    Crisan, Anamaria
    Marra, Marco A.
    Hirst, Martin
    Huntsman, David
    Murphy, Kevin P.
    Aparicio, Sam
    Shah, Sohrab P.
    BIOINFORMATICS, 2010, 26 (06) : 730 - 736
  • [33] Comparing Genotyping-by-Sequencing and Single Nucleotide Polymorphism Chip Genotyping for Quantitative Trait Loci Mapping in Wheat
    Bajgain, Prabin
    Rouse, Matthew N.
    Anderson, James A.
    CROP SCIENCE, 2016, 56 (01) : 232 - 248
  • [34] Buccal swab genomic DNA fragmentation predicts likelihood of successful HLA genotyping by next-generation sequencing
    Montgomery, Maureen C.
    Petraroia, Rosanne
    Weimer, Eric T.
    HUMAN IMMUNOLOGY, 2017, 78 (10) : 634 - 641
  • [35] High-throughput polymorphism detection and genotyping in Brassica napus using next-generation RAD sequencing
    Anja Bus
    Jochen Hecht
    Bruno Huettel
    Richard Reinhardt
    Benjamin Stich
    BMC Genomics, 13
  • [36] High-throughput polymorphism detection and genotyping in Brassica napus using next-generation RAD sequencing
    Bus, Anja
    Hecht, Jochen
    Huettel, Bruno
    Reinhardt, Richard
    Stich, Benjamin
    BMC GENOMICS, 2012, 13
  • [37] Engraftment Assessment by Next Generation Sequencing Using Single Nucleotide Polymorphism (SNP) Fingerprinting
    Mohanty, A.
    Gomez-Gelvez, J.
    Petriva-Drus, K.
    Zaidinski, M.
    Wang, W.
    Yao, J.
    Ho, C.
    Zehir, A.
    Arcila, M.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2017, 19 (06): : 1002 - 1002
  • [38] Within-host nucleotide diversity of virus populations: Insights from next-generation sequencing
    Nelson, Chase W.
    Hughes, Austin L.
    INFECTION GENETICS AND EVOLUTION, 2015, 30 : 1 - 7
  • [39] Empirical Bayes single nucleotide variant-calling for next-generation sequencing data
    Karimnezhad, Ali
    Perkins, Theodore J.
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [40] A review of somatic single nucleotide variant calling algorithms for next-generation sequencing data
    Xu, Chang
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2018, 16 : 15 - 24