Wang Yuzhe, Cao Xuemin, Zhao Yiqiang, Fei Jing, Hu Xiaoxiang, Li Ning
State Key Laboratories of Agro-biotechnology, College of Biological Science, China Agricultural University, Beijing, China.
National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing, China.
PLoS One. 2017 Jun 9;12(6):e0179073. doi: 10.1371/journal.pone.0179073. eCollection 2017.
High-density single nucleotide polymorphism (SNP) markers are crucial to improve the resolution and accuracy of genome-wide association study (GWAS) and genomic selection (GS). Numerous approaches, including whole genome sequencing, genome sampling sequencing, and SNP chips are able to discover or genotype markers at different densities and costs. Achieving an optimal balance between sequencing resolution and budgets, especially in large-scale population genetics research, constitutes a major challenge. Here, we performed improved double-enzyme digestion genotyping by sequencing (ddGBS) on chicken. We evaluated eight double-enzyme digestion combinations, and EcoR I- Mse I was chosen as the optimal combination for the chicken genome. We firstly proposed that two parameters, optimal read-count point (ORP) and saturated read-count point (SRP), could be utilized to determine the optimal sequencing volume. A total of 291,772 high-density SNPs from 824 animals were identified. By validation using the SNP chip, we found that the consistency between ddGBS data and the SNP chip is over 99%. The approach that we developed in chickens, which is high-quality, high-density, cost-effective (300 K, $30/sample), and time-saving (within 48 h), will have broad applications in animal breeding programs.
高密度单核苷酸多态性(SNP)标记对于提高全基因组关联研究(GWAS)和基因组选择(GS)的分辨率和准确性至关重要。包括全基因组测序、基因组抽样测序和SNP芯片在内的众多方法,能够以不同的密度和成本发现标记或进行基因分型。在测序分辨率和预算之间实现最佳平衡,尤其是在大规模群体遗传学研究中,是一项重大挑战。在此,我们对鸡进行了改进的双酶切测序基因分型(ddGBS)。我们评估了八种双酶切组合,EcoR I - Mse I被选为鸡基因组的最佳组合。我们首次提出,可以利用两个参数,即最佳读数点(ORP)和饱和读数点(SRP)来确定最佳测序量。从824只动物中鉴定出了总共291,772个高密度SNP。通过使用SNP芯片进行验证,我们发现ddGBS数据与SNP芯片之间的一致性超过99%。我们在鸡中开发的这种方法,具有高质量、高密度、成本效益高(300K,每个样本30美元)且省时(48小时内)的特点,将在动物育种计划中具有广泛的应用。