Melaku Getachew, Guangfu Huang, Shilai Zhang, Labroo Marlee, Rhodes Brian, Harold Edward, Hu Fengyi
Research Center of Perennial Rice Engineering and Technology in Yunnan, School of Agriculture, Yunnan University, Kunming 650091, China.
Agricultural Biotechnology Directorate of the Ethiopian Biotechnology Institute, 5954, Addis Ababa, Ethiopia.
Biotechnol Rep (Amst). 2022 May 30;35:e00743. doi: 10.1016/j.btre.2022.e00743. eCollection 2022 Sep.
Rice is frequently affected by drought. However, economic water usage by the crop less impacted the stress. Its improvement should thus rely on assessing and utilizing the genetic bases of Carbon balance and water use efficient traits. These days, sequence based analysis is widely used to identify the associated hotspot loci to a given trait of interest. For two cropping seasons, 135 ./ RILs were phenotyped to four leaf physiological traits and single marker analysis was integrated to identify consistently and significantly correlated SNPs. Through the RADseq technique, 20,014 SNPs were identified from the phenotypically diversified lines and in particular, 20 SNPs were defined as significantly associated hotspot loci. This study therefore, implicated marker-trait associations for leaf physiological traits. And such significantly associated loci can be used as tools for marker assisted selection of the relatively drought tolerant and highly photosynthetic lines of perennial rice.
水稻经常受到干旱影响。然而，该作物的经济用水对这种胁迫的影响较小。因此，其改良应依赖于评估和利用碳平衡和水分利用效率性状的遗传基础。如今，基于序列的分析被广泛用于识别与特定感兴趣性状相关的热点基因座。在两个种植季节中，对135个重组自交系（RILs）的四个叶片生理性状进行了表型分析，并采用单标记分析来识别始终显著相关的单核苷酸多态性（SNPs）。通过简化基因组测序（RADseq）技术，从表型多样化的品系中鉴定出20,014个SNPs，特别是20个SNPs被定义为显著相关的热点基因座。因此，本研究揭示了叶片生理性状的标记-性状关联。这些显著相关的基因座可作为标记辅助选择多年生水稻相对耐旱和高光合品系的工具。
