Sun Xiaoyang, Fu Qiang, Song Yuxiao, Deng Xinjie, Li Yinruizhi, Wu Ke, Li Shuning, Fu Jinmin
College of Grassland Science, Qingdao Agricultural University, Qingdao 266109, China.
Int J Mol Sci. 2024 Dec 10;25(24):13254. doi: 10.3390/ijms252413254.
Bermudagrass ( L.) is a warm-season grass species of significant ecological and economic importance. It is widely utilized in turf management and forage production due to its resilience to drought, salt, and other environmental stresses. Recent advancements in molecular breeding, particularly through genomics technology and gene editing, have enabled the efficient identification of key genes associated with stress tolerance and turf quality. The use of techniques such as overexpression and CRISPR/Cas has enhanced resistance to drought, salt, cold, and heat, while the application of molecular markers has accelerated the development of superior varieties. The integration of multi-omics, such as genomics, transcriptomics, and proteomics, provides deeper insights into the molecular mechanisms of bermudagrass, thereby improving breeding efficiency and precision. Additionally, artificial intelligence is emerging as a powerful tool for analyzing genomic data, predicting optimal trait combinations, and accelerating breeding processes. These technologies, when combined with traditional breeding methods, hold great potential for optimizing bermudagrass varieties for both turf and forage use. Future research will focus on further integrating these tools to address the challenges of breeding posed by climate change to breeding climate-resilient turf and forage crops.
狗牙根(Cynodon dactylon (L.) Pers.)是一种具有重要生态和经济意义的暖季型草种。由于其对干旱、盐分和其他环境胁迫具有抗性,它被广泛应用于草坪管理和牧草生产。分子育种的最新进展,特别是通过基因组技术和基因编辑,使得与胁迫耐受性和草坪质量相关的关键基因得以有效鉴定。过表达和CRISPR/Cas等技术的应用增强了对干旱、盐分、寒冷和高温的抗性,而分子标记的应用加速了优良品种的培育。基因组学、转录组学和蛋白质组学等多组学的整合,为狗牙根的分子机制提供了更深入的见解,从而提高了育种效率和准确性。此外,人工智能正在成为分析基因组数据、预测最佳性状组合和加速育种过程的强大工具。这些技术与传统育种方法相结合,在优化用于草坪和牧草的狗牙根品种方面具有巨大潜力。未来的研究将集中在进一步整合这些工具,以应对气候变化给培育适应气候的草坪和牧草作物带来的育种挑战。