Genomic and transcriptomic approaches toward plant selection

Abstract

Omics era has opened a new window to biology. Genomics and transcriptomics are two well-known fields by which plant selection and breeding are studied more easily and accurately. They provide useful information about the genes, transcripts, their functions those are the principal data for other subsequent approaches. Reference genomes of various plants are available and facilitate genome-based studies. The complex of genomic, transcriptomic data and the findings from variant methods like QTLs (quantitative trait loci), SNPs (single nucleotide polymorphism), CNVs (copy number variant), resequencing, GBS (genome-by-sequencing) are extremely important for plant selection in terms of price and time. The new workflows are routinely using different approaches and mixing them based on the genomic/transcriptomic information in their subsequent steps and are validated during the whole process toward screening genotypes possessing agronomically important desired trait. SNP-Seq presented hereinafter is a new approach for analyzing plants toward selection and screening by SNP sequencing in various genotypes simultaneously. It can accelerate the cycle of plant selection from genotypes to phenotypes in a reverse engineering way.