Genome resequencing + Transcriptome analysis
Multiomics integration analysis
The research conclusions of single omics technology often can not fully explore and explain the complex and changeable gene expression regulation mechanism and biological phenomena. With the wide application of high-throughput technology, multi omics integrated analysis can obtain omics data on a large scale from different molecular levels such as genome, epigenome, transcriptome, proteome, interaction group, metabolome and microbiome, It enables us to comprehensively and systematically understand the essence of life and revolutionizes biological research.
The whole genome of the species with known genome sequence is re sequenced, and the differences of individuals or populations are analyzed to screen the genetic variation markers associated with the trait, and mine the candidate genes or genome regions related to the trait variation; On this basis, combined with the transcriptome sequence information and expression information obtained by transcriptome analysis, through GWAS and eQTL co location analysis, further screen the trait related genes, mine the eQTL related to the association sites found by GWAS, and the internal functional mechanism, so as to comprehensively and systematically understand the gene expression regulation mechanism and biological phenomena.