Yao Jiayu, Jiang Shaolian, Li Hu, Li Qin, Qiu Zhaowei, Tao Aifen, Fang Pingping, Xu Jiantang, Lin Lihui, Qi Jianmin, Zhang Liwu
Key Laboratory of Ministry of Education for Genetic Breeding and Multiple Utilization of Crops / Fujian Provincial Key Laboratory of Crop Breeding by Design, Fujian Agriculture and Forestry University, Fuzhou, 350002 China.
Experiment Station of Ministry of Agriculture and Rural Affairs for Jute and Kenaf in Southeast China, Fujian Agriculture and Forestry University, Fuzhou, 350002 China.
Mol Breed. 2023 Nov 24;43(12):85. doi: 10.1007/s11032-023-01435-8. eCollection 2023 Dec.
Suitable flowering time can improve fiber yield and quality, which is of great significance for jute biological breeding. In this study, 242 jute accessions were planted in Fujian for 2 consecutive years, and 244,593 SNPs distributed in jute genome were used for genome-wide association analysis of flowering time. A total of 19 candidate intervals ( < 0.0001) were identified by using GLM and FaST-LMM and were significantly associated with flowering time, with phenotypic variation explained (PVE) ranging from 5.8 to 18.61%. Six stable intervals that were repeatedly detected in different environments were further identified by the linkage disequilibrium heatmap. The most likely 7 candidate genes involved to flowering time were further predicted according to the gene functional annotations. Notably, functional analysis of the candidate gene of the major loci , a key factor in circadian rhythm in the photoperiodic pathway, was evaluated by linkage, haplotype, and transgenic analysis. β-glucuronidase (GUS) and luciferase (LUC) activity assay of the promoters with two specific haplotypes confirmed that the flowering time can be controlled by regulating the expression of . The model of involved in the photoperiod regulation pathway under different photoperiods was proposed. These findings provide insights into genetic loci and genes for molecular marker-assisted selection in jute and valuable information for genetically engineering PRR7 homologs in plants.
The online version contains supplementary material available at 10.1007/s11032-023-01435-8.
适宜的开花时间可提高黄麻纤维产量和品质，这对黄麻生物育种具有重要意义。本研究连续两年在福建种植242份黄麻种质，利用分布于黄麻基因组中的244,593个单核苷酸多态性（SNP）位点对开花时间进行全基因组关联分析。采用广义线性模型（GLM）和快速线性混合模型（FaST-LMM）共鉴定出19个候选区间（P < 0.0001），与开花时间显著相关，表型变异解释率（PVE）为5.8%至18.61%。通过连锁不平衡热图进一步确定了在不同环境中反复检测到的6个稳定区间。根据基因功能注释进一步预测了7个最有可能参与开花时间调控的候选基因。值得注意的是，通过连锁、单倍型和转基因分析对光周期途径中昼夜节律的关键因子主要位点的候选基因进行了功能分析。对具有两种特定单倍型的启动子进行β-葡萄糖醛酸酶（GUS）和荧光素酶（LUC）活性测定，证实可通过调节基因的表达来控制开花时间。提出了不同光周期下该基因参与光周期调控途径的模型。这些研究结果为黄麻分子标记辅助选择的遗传位点和基因提供了见解，也为植物中PRR7同源基因的基因工程提供了有价值的信息。
在线版本包含可在10.1007/s11032-023-01435-8获取的补充材料。
