Fu Yong-Bi, Yang Mo-Hua
Plant Gene Resources of Canada, Saskatoon Research and Development Centre, Agriculture and Agri-Food Canada, 107 Science Place, Saskatoon, SK, Canada, S7N 0X2.
College of Forestry, Central South University of Forestry and Technology, Changsha, Hunan, China.
Methods Mol Biol. 2017;1536:169-187. doi: 10.1007/978-1-4939-6682-0_13.
Genotyping-by-sequencing (GBS) has emerged as a useful genomic approach for sampling genome-wide genetic variation, performing genome-wide association mapping, and conducting genomic selection. It is a combined one-step process of SNP marker discovery and genotyping through genome reduction with restriction enzymes and SNP calling with or without a sequenced genome. This approach has the advantage of being rapid, high throughput, cost effective, and applicable to organisms without sequenced genomes. It has been increasingly applied to generate SNP genotype data for plant genetic and genomic studies. To facilitate a wider GBS application, particularly in oat genetic and genomic research, we describe the GBS approach, review the current applications of GBS in plant species, and highlight some applications of GBS to oat research. We also discuss issues in various applications of GBS and provide some perspectives in GBS research. Recent developments of bioinformatics pipelines in high-quality SNP discovery for polyploid crops will enhance the application of GBS to oat genetic and genomic research.
简化基因组测序（GBS）已成为一种有用的基因组方法，可用于全基因组遗传变异采样、全基因组关联图谱绘制以及基因组选择。它是一个将SNP标记发现和基因分型结合为一步的过程，通过用限制酶进行基因组简化以及有或没有测序基因组情况下的SNP分型来实现。这种方法具有快速、高通量、成本效益高且适用于没有测序基因组的生物等优点。它已越来越多地应用于生成用于植物遗传和基因组研究的SNP基因型数据。为了促进GBS更广泛的应用，特别是在燕麦遗传和基因组研究中，我们描述了GBS方法，回顾了GBS在植物物种中的当前应用，并强调了GBS在燕麦研究中的一些应用。我们还讨论了GBS各种应用中的问题，并提供了GBS研究的一些观点。多倍体作物高质量SNP发现中生物信息学流程的最新进展将增强GBS在燕麦遗传和基因组研究中的应用。
