Key Laboratory of Marine Genetics and Breeding, Ministry of Education, Ocean University of China, Qingdao, Shandong, 266003, China.
Key Laboratory of Marine Genetics and Breeding, Ministry of Education, Ocean University of China, Qingdao, Shandong, 266003, China; College of Life Sciences, Yantai University, Yantai, 264005, China.
Fish Shellfish Immunol. 2019 May;88:76-83. doi: 10.1016/j.fsi.2019.02.041. Epub 2019 Feb 23.
Many achievements have been made to develop quantitative trait loci (QTLs) and gene-associated single nucleotide polymorphisms (SNPs) to facilitate practical marker-assisted selection (MAS) in aquatic animals. However, the systematic studies of SNPs associated with extreme threshold traits were poor in populations lacking of parental genomic information. Coupling next generation sequencing with bulked segregant analysis (BSA) should allow identification of numerous associated SNPs with extreme phenotypes. In the present study, using combination of SNP frequency difference and Euclidean distance, we conducted linkage analysis of SNPs located in genes involved in immune responses, and identified markers associated with Vibrio anguillarum resistance in turbot (Scophthalmus maximus). A total of 221 SNPs was found as candidate SNPs between resistant and susceptible individuals. Among these SNPs, 35 loci located in immune related genes were genotyped in verification population and 7 of them showed significant association with V. anguillarum resistance in both alleles and genotypes (P < 0.05). Among these 7 genes, PIK3CA-like, CYLD, VCAM1, RhoB and RhoGEF are involved in PI3K/Akt/mTOR pathway and NF-κB pathway, which influence the efficiency of bacteria entering the host and inflammation. SNP-SNP interaction analysis was performed by generalized multifactor dimensionality reduction (GMDR). The combination of SNP loci in RhoB, PIK3CA-like and ADCY3 showed a significant effect on V. anguillarum resistance with the verification rate in the sequencing population up to 70.8%. Taken all, our findings demonstrated the feasibility of BSA-seq approach in identifying genes responsible for the extreme phenotypes and will aid in performing MAS in turbot.
在水产动物中,已经取得了许多进展,以开发数量性状基因座(QTL)和与基因相关的单核苷酸多态性(SNP),以促进实用的标记辅助选择(MAS)。然而,在缺乏亲本基因组信息的群体中,与极端阈值性状相关的 SNP 的系统研究还很薄弱。将下一代测序与 bulked segregant analysis(BSA)相结合,应该可以鉴定出与极端表型相关的大量相关 SNP。在本研究中,我们使用 SNP 频率差异和欧几里得距离的组合,对参与免疫反应的基因中 SNP 的连锁分析,鉴定出与大菱鲆(Scophthalmus maximus)对鳗弧菌抗性相关的标记。在抗性和敏感个体之间发现了 221 个候选 SNP。在这些 SNP 中,在验证群体中对 35 个位于免疫相关基因的位点进行了基因型分析,其中 7 个在等位基因和基因型上均与鳗弧菌抗性显著相关(P<0.05)。在这 7 个基因中,PIK3CA-like、CYLD、VCAM1、RhoB 和 RhoGEF 参与 PI3K/Akt/mTOR 途径和 NF-κB 途径,影响细菌进入宿主和炎症的效率。通过广义多因素降维(GMDR)进行 SNP-SNP 相互作用分析。RhoB、PIK3CA-like 和 ADCY3 中 SNP 位点的组合对鳗弧菌抗性有显著影响,在测序群体中的验证率高达 70.8%。总之,我们的研究结果表明,BSA-seq 方法在鉴定与极端表型相关的基因方面是可行的,这将有助于在大菱鲆中进行 MAS。