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通过测序进行数千样本基因分型的方法的开发 。 (你提供的原文似乎不完整,“in.”后面应该还有内容)

Development of a Panel of Genotyping-in-Thousands by Sequencing in .

作者信息

Jo Jinkwan, Kim Youngin, Kim Geon Woo, Kwon Jin-Kyung, Kang Byoung-Cheorl

机构信息

Department of Agriculture, Forestry and Bioresources, College of Agriculture and Life Sciences, Research Institute of Agriculture and Life Sciences, Plant Genomics and Breeding Institute, Seoul National University, Seoul, South Korea.

出版信息

Front Plant Sci. 2021 Oct 26;12:769473. doi: 10.3389/fpls.2021.769473. eCollection 2021.

Abstract

Genotyping by sequencing (GBS) enables genotyping of multiple loci at low cost. However, the single nucleotide polymorphisms (SNPs) revealed by GBS tend to be randomly distributed between individuals, limiting their direct comparisons without applying the various filter options to obtain a comparable dataset of SNPs. Here, we developed a panel of a multiplex targeted sequencing method, genotyping-in-thousands by sequencing (GT-seq), to genotype SNPs in spp. Previously developed Fluidigm SNP markers were converted to GT-seq markers and combined with new GT-seq markers developed using SNP information obtained through GBS. We then optimized multiplex PCR conditions: we obtained the highest genotyping rate when the first PCR consisted of 25 cycles. In addition, we determined that 101 primer pairs performed best when amplifying target sequences of 79 bp. We minimized interference of multiplex PCR by primer dimer formation using the PrimerPooler program. Using our GT-seq pipeline on Illumina Miseq and Nextseq platforms, we genotyped up to 1,500 (Miseq) and 1,300 (Nextseq) samples for the optimum panel size of 100 loci. To allow the genotyping of species, we designed 332 informative GT-seq markers from Fluidigm SNP markers and GBS-derived SNPs. This study illustrates the first application of GT-seq in crop plants. The GT-seq marker set developed here will be a useful tool for molecular breeding of peppers in the future.

摘要

测序基因分型(GBS)能够以低成本对多个位点进行基因分型。然而,GBS揭示的单核苷酸多态性(SNP)在个体间往往是随机分布的,在不应用各种过滤选项以获得可比的SNP数据集的情况下,限制了它们的直接比较。在此,我们开发了一种多重靶向测序方法——测序数千样本基因分型(GT-seq),用于对辣椒属物种的SNP进行基因分型。先前开发的Fluidigm SNP标记被转换为GT-seq标记,并与利用通过GBS获得的SNP信息开发的新GT-seq标记相结合。然后我们优化了多重PCR条件:当第一次PCR由25个循环组成时,我们获得了最高的基因分型率。此外,我们确定当扩增79 bp的靶序列时,101对引物表现最佳。我们使用PrimerPooler程序通过引物二聚体形成最小化了多重PCR的干扰。在Illumina Miseq和Nextseq平台上使用我们的GT-seq流程,对于100个位点的最佳面板大小,我们对多达1500个(Miseq)和1300个(Nextseq)样本进行了基因分型。为了实现对辣椒物种的基因分型,我们从Fluidigm SNP标记和GBS衍生的SNP中设计了332个信息丰富的GT-seq标记。本研究阐述了GT-seq在作物中的首次应用。这里开发的GT-seq标记集将成为未来辣椒分子育种的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3616/8576353/1d81b1cc890b/fpls-12-769473-g001.jpg

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