Tinker Nicholas A, Bekele Wubishet A, Hattori Jiro
Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ontario, K1A 0C6, Canada
Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ontario, K1A 0C6, Canada.
G3 (Bethesda). 2016 Apr 7;6(4):857-63. doi: 10.1534/g3.115.024596.
Genotyping-by-sequencing (GBS), and related methods, are based on high-throughput short-read sequencing of genomic complexity reductions followed by discovery of single nucleotide polymorphisms (SNPs) within sequence tags. This provides a powerful and economical approach to whole-genome genotyping, facilitating applications in genomics, diversity analysis, and molecular breeding. However, due to the complexity of analyzing large data sets, applications of GBS may require substantial time, expertise, and computational resources. Haplotag, the novel GBS software described here, is freely available, and operates with minimal user-investment on widely available computer platforms. Haplotag is unique in fulfilling the following set of criteria: (1) operates without a reference genome; (2) can be used in a polyploid species; (3) provides a discovery mode, and a production mode; (4) discovers polymorphisms based on a model of tag-level haplotypes within sequenced tags; (5) reports SNPs as well as haplotype-based genotypes; and (6) provides an intuitive visual "passport" for each inferred locus. Haplotag is optimized for use in a self-pollinating plant species.
基于测序的基因分型(GBS)及相关方法,是基于对基因组复杂度降低后的高通量短读长测序,随后在序列标签中发现单核苷酸多态性(SNP)。这为全基因组基因分型提供了一种强大且经济的方法,推动了其在基因组学、多样性分析和分子育种中的应用。然而,由于分析大型数据集的复杂性,GBS的应用可能需要大量时间、专业知识和计算资源。本文所述的新型GBS软件Haplotag是免费可用的,并且在广泛可用的计算机平台上只需极少的用户投入即可运行。Haplotag在满足以下一组标准方面独具特色:(1)无需参考基因组即可运行;(2)可用于多倍体物种;(3)提供发现模式和生产模式;(4)基于测序标签内的标签级单倍型模型发现多态性;(5)报告SNP以及基于单倍型的基因型;(6)为每个推断的位点提供直观的可视化“护照”。Haplotag经过优化,适用于自花授粉植物物种。