Acta Veterinaria et Zootechnica Sinica ›› 2024, Vol. 55 ›› Issue (10): 4311-4324.doi: 10.11843/j.issn.0366-6964.2024.10.007

• Animal Genetics and Breeding • Previous Articles     Next Articles

Detection and Comparative Analysis of Genomic Genetic Variations in Trace Cells Using Different Methods

Qingzhen SHI1(), Hongyang XU2, Yan ZHANG3, Yi ZHANG1, Yachun WANG1, Jianyong HAN2, Li JIANG1,*()   

  1. 1. State Key Laboratory of Animal Biotech Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
    2. College of Biological Sciences, China Agricultural University, Beijing 100193, China
    3. Shandong OX Livestock Breeding Co., Ltd., Jinan 250100, China
  • Received:2024-04-03 Online:2024-10-23 Published:2024-11-04
  • Contact: Li JIANG E-mail:sqz20000515@163.com;lijiang@cau.edu.cn

Abstract:

The aim of this study was to detect and compare the genetic variation of the whole genome of trace cells by different methods. In this study, 3, 5, 7 and 10 cell numbers from pig ear fibroblasts were used as experimental materials, and trace cell genomes were extracted by different methods for whole genome sequencing (WGS) to compare the performance of genetic variation detection among different cell numbers and extraction methods. Subsequently, comparative analysis of whole genome sequencing and SNP chip technology was conducted using the genomes obtained from 5 or 7 bovine trophectoderm cells, with 3 replicates per group. The results showed that the multiple displacement amplification (MDA) method based on whole genomic amplification (WGA) technology had better DNA product concentration, sequencing data quality and SNP detection performance than other methods for different cell numbers. The DNA concentrations of 7 and 10 cell numbers amplified by REPLI-g® Single Cell Kit were significantly higher than those of 3 and 5 cell numbers, but there was no significant difference in the performance of quality assessment, and the number of SNPs detected was similar in different cell numbers. The call rates of Illumina Bovine GGP chip with 5 and 7 cell numbers were 74.09% and 81.52%, respectively. The results showed that more genetic variation information could be obtained by whole genome sequencing compared to SNP chips, but the proportion of SNPs and the number of loci with the same genotype detected by both methods was low. In conclusion, this study systematically compared the performance of genome extraction methods and whole genome genetic variation detection techniques for different cell numbers. The results showed that NGS amplification of 7 cells using the REPLI-g® Single Cell Kit could obtain relatively accurate and stable results. This study established a reliable genome extraction and genetic variation detection scheme for trace cell samples of livestock embryos, which is of important significance and value for accurate embryo genomic selection and embryo quality assessment in the future.

Key words: trace cells, embryo, whole genome amplification, resequencing, SNP chip, genetic variation

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