Application of Next Generation Sequencing, GWAS, RNA seq, WGRS, for genetic improvement of potato (Solanum tuberosum L.) under drought stress

Abstract

Abstract Potato (Solanum tuberosum L.), a highly heterozygous cultivated tetraploid crop, is considered as a main source of food, feed and industrial use. It is ranked as the world's fourth non-cereal crop after rice, wheat, and maize. Potato is one of the most important drought-sensitive crops where drought can negatively affect plant performance, particularly tuber formation and growth. Due to the complex genetic basis of stress tolerance, classical breeding strategies often fail to meet the needs for stabilizing yield under variable conditions, although these strategies have significantly impacted the yield potential of crops during the past century. In the recent decade, Next Generation Sequencing (NGS) has provided the ability to identify markers in drought-tolerant potato which in turn can facilitate breeding potato for drought stress conditions. NGS data explained information about gene expressions which were powerful tools for biological function. Genome-wide association studies (GWAS), whole genome resequencing (WGRS), and RNA-seq have become powerful tools for analyzing complex traits in crop plants. The current study evaluates the efficacy of various three methods for elucidating marker development potato. This review demonstrates how GWAS, WGRS, and RNA-seq can be used as effective tools for genetic potato improvement. It is vital to develop molecular markers to identify molecular mechanisms in response to drought stress in potato, which would help to accelerate genetic improvement through marker-assisted selection. To better understanding drought mechanism, GWAS and RNA-seq data integrate to exploit the genetic basis drought tolerance.