Talukder Shyamal K, Saha Malay C
Noble Research Institute, LLC, ArdmoreOK, United States.
Front Plant Sci. 2017 Jul 26;8:1317. doi: 10.3389/fpls.2017.01317. eCollection 2017.
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.
世界上最重要的粮食和饲料作物都属于C3禾本科植物。粮食安全的未来高度依赖于这些禾本科植物实现遗传增益。传统育种方法在改良主要作物方面已经达到了瓶颈。基因组学工具和资源为探索全基因组变异性以及利用这种变异来提高育种计划中的遗传增益开辟了一条途径。主要的C3一年生谷类作物育种计划已经配备了完善的基因组学工具;然而,C3冷季多年生禾本科植物的基因组研究却滞后了。在这篇综述中,我们讨论了目前可用于C3冷季多年生禾本科植物育种的基因组学工具和方法。除了进行一般性综述外,我们着重讨论了那些被视为“孤儿”且几乎没有或完全没有遗传信息的饲用禾本科植物。转录组测序以及利用下一代测序(NGS)进行全基因组标记检测的基因分型测序技术作为基因组学工具非常有前景。大多数C3冷季多年生禾本科植物成员之前没有遗传信息;因此,NGS技术将加强与其他C3模式禾本科植物(如[此处原文缺失具体植物名称])和水稻的共线性研究。转录组学数据可用于鉴定功能基因和分子标记,即多态性标记和简单序列重复(SSR)。基于NGS标记的全基因组关联研究将有助于鉴定用于标记辅助选择的标记。由于遗传信息有限,基因组选择对育种者来说有望实现C3冷季多年生禾本科植物的最大遗传增益。应用所有这些工具可以确保更好的遗传增益,缩短选择周期,并促进品种培育以满足未来对粮食和饲料的需求。