Toward Genomics-Based Breeding in C3 Cool-Season Perennial Grasses

• Published in: Frontiers in plant science Vol. 8; p. 1317
• Main Authors: Talukder, Shyamal K., Saha, Malay C.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 26.07.2017
• Subjects: genomic selection; marker-assisted selection; next-generation sequencing; perennial grass; Plant Science; QTL mapping; genomic selection; marker-assisted selection; perennial grass; next-generation sequencing; QTL mapping
• ISSN: 1664-462X; 1664-462X
• DOI: 10.3389/fpls.2017.01317

Most important food and feed crops in the world belong to the C3 grass family. The future of food security is highly reliant on achieving genetic gains of those grasses. Conventional breeding methods have already reached a plateau for improving major crops. Genomics tools and resources have opened an avenue to explore genome-wide variability and make use of the variation for enhancing genetic gains in breeding programs. Major C3 annual cereal breeding programs are well equipped with genomic tools; however, genomic research of C3 cool-season perennial grasses is lagging behind. In this review, we discuss the currently available genomics tools and approaches useful for C3 cool-season perennial grass breeding. Along with a general review, we emphasize the discussion focusing on forage grasses that were considered orphan and have little or no genetic information available. Transcriptome sequencing and genotype-by-sequencing technology for genome-wide marker detection using next-generation sequencing (NGS) are very promising as genomics tools. Most C3 cool-season perennial grass members have no prior genetic information; thus NGS technology will enhance collinear study with other C3 model grasses like and rice. Transcriptomics data can be used for identification of functional genes and molecular markers, i.e., polymorphism markers and simple sequence repeats (SSRs). Genome-wide association study with NGS-based markers will facilitate marker identification for marker-assisted selection. With limited genetic information, genomic selection holds great promise to breeders for attaining maximum genetic gain of the cool-season C3 perennial grasses. Application of all these tools can ensure better genetic gains, reduce length of selection cycles, and facilitate cultivar development to meet the future demand for food and fodder.