Inner Mongolia Academy of Agriculture and Husbandry Science Hohhot, China ; Lethbridge Research Centre, Agriculture and Agri-Food Canada Lethbridge, AB, Canada.
Inner Mongolia Academy of Agriculture and Husbandry Science Hohhot, China.
Front Plant Sci. 2014 Sep 30;5:484. doi: 10.3389/fpls.2014.00484. eCollection 2014.
Marker-assisted selection (MAS) refers to the use of molecular markers to assist phenotypic selections in crop improvement. Several types of molecular markers, such as single nucleotide polymorphism (SNP), have been identified and effectively used in plant breeding. The application of next-generation sequencing (NGS) technologies has led to remarkable advances in whole genome sequencing, which provides ultra-throughput sequences to revolutionize plant genotyping and breeding. To further broaden NGS usages to large crop genomes such as maize and wheat, genotyping-by-sequencing (GBS) has been developed and applied in sequencing multiplexed samples that combine molecular marker discovery and genotyping. GBS is a novel application of NGS protocols for discovering and genotyping SNPs in crop genomes and populations. The GBS approach includes the digestion of genomic DNA with restriction enzymes followed by the ligation of barcode adapter, PCR amplification and sequencing of the amplified DNA pool on a single lane of flow cells. Bioinformatic pipelines are needed to analyze and interpret GBS datasets. As an ultimate MAS tool and a cost-effective technique, GBS has been successfully used in implementing genome-wide association study (GWAS), genomic diversity study, genetic linkage analysis, molecular marker discovery and genomic selection under a large scale of plant breeding programs.
标记辅助选择(MAS)是指利用分子标记辅助表型选择进行作物改良。已经鉴定和有效地用于植物育种的几种类型的分子标记,如单核苷酸多态性(SNP)。下一代测序(NGS)技术的应用在全基因组测序方面取得了显著进展,为植物基因分型和育种带来了革命性的变化。为了将 NGS 技术进一步扩展到大的作物基因组(如玉米和小麦)中,开发了并应用了测序多重样本的基因分型测序(GBS),该方法结合了分子标记的发现和基因分型。GBS 是 NGS 协议在作物基因组和群体中发现和基因分型 SNP 的一种新应用。GBS 方法包括用限制性内切酶消化基因组 DNA,然后连接条形码接头,对扩增的 DNA 池进行 PCR 扩增和在单个流动池通道上测序。需要生物信息学管道来分析和解释 GBS 数据集。作为最终的 MAS 工具和一种具有成本效益的技术,GBS 已成功用于实施全基因组关联研究(GWAS)、基因组多样性研究、遗传连锁分析、分子标记发现和大规模植物育种计划下的基因组选择。