生物
数量性状位点
候选基因
全基因组关联研究
转录组
基因
遗传学
基因组
水稻
基于家系的QTL定位
遗传关联
特质
计算生物学
基因定位
基因表达
单核苷酸多态性
基因型
计算机科学
程序设计语言
染色体
作者
Qing Li,Xueli Lu,Changjian Wang,Lan Shen,Liping Dai,Jinli He,Long Yang,Peiyuan Li,Yuling Hong,Qiang Zhang,Guojun Dong,Jiang Hu,Guangheng Zhang,Deyong Ren,Zhenyu Gao,Longbiao Guo,Qian Qian,Li Zhu,Dali Zeng
出处
期刊:Crop Journal
[KeAi]
日期:2022-08-01
卷期号:10 (4): 942-951
被引量:16
标识
DOI:10.1016/j.cj.2021.12.006
摘要
The development of rice cultivars with improved nitrogen use efficiency (NUE) is desirable for sustainable agriculture. Achieving this goal depends in part on understanding how rice responds to low soil nitrogen (N) and identifying causative genes underlying this trait. To identify quantitative trait loci (QTL) or genes associated with low N response, we conducted a genome-wide association study (GWAS) using a diverse panel of 230 rice accessions and performed a transcriptomic investigation of rice accessions with differential responses to low N stress at two N levels. We detected 411 GWAS-associated genes in 5 QTL and 2722 differentially expressed genes in response to low N, of which 24 were identified by both methods and ranked according to gene annotations, literature queries, gene expression, and genetic diversity analysis. The large-scale datasets obtained from this study reveal low N-responsive characteristics and provide insights towards understanding the regulatory mechanisms of N-deficiency tolerance in rice, and the candidate genes or QTL would be valuable resources for increasing rice NUE via molecular biotechnology.
科研通智能强力驱动
Strongly Powered by AbleSci AI