Transcriptomics Analysis Identified Candidate Genes Colocalized with Seed Dormancy QTLs in Rice (Oryza sativa L.)

2010 ◽  
Vol 53 (5) ◽  
pp. 330-337 ◽  
Author(s):  
Huaide Qin ◽  
Fuqing Wu ◽  
Kun Xie ◽  
Zhijun Cheng ◽  
Xiuping Guo ◽  
...  
Rice ◽  
2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Chaopu Zhang ◽  
Zhiyang Yuan ◽  
Yuntong Wang ◽  
Wenqiang Sun ◽  
Xinxin Tang ◽  
...  

Crop Science ◽  
1997 ◽  
Vol 37 (6) ◽  
pp. 1759-1763 ◽  
Author(s):  
J. Wan ◽  
T. Nakazaki ◽  
K. Kawaura ◽  
H. Ikehashi

2010 ◽  
Vol 130 (3) ◽  
pp. 328-332 ◽  
Author(s):  
Kun Xie ◽  
Ling Jiang ◽  
BingYue Lu ◽  
ChunYan Yang ◽  
LinFang Li ◽  
...  

2020 ◽  
Vol 40 (5) ◽  
Author(s):  
Jian Zhang ◽  
Tao Guo ◽  
Jing Yang ◽  
Mingzhu Hu ◽  
Hao Wang ◽  
...  

Agriculture ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 360 ◽  
Author(s):  
Nkulu Rolly Kabange ◽  
So-Yeon Park ◽  
Dongjin Shin ◽  
So-Myeong Lee ◽  
Su-Min Jo ◽  
...  

Chlorate resistance analysis is an effective approach commonly used to distinguish the genetic variation between Oryza sativa L. ssp. indica and japonica, and predict the nitrogen use efficiency (NUE). This study aimed at investigating the response of a doubled haploid (DH) population derived from anther culture of 93-11 × Milyang352 exposed to 0.1% potassium chlorate (KClO3) at the seedling stage. The results revealed that the parental rice lines 93-11 (indica) and Milyang352 (japonica) showed distinctive phenotypic responses. The parental line 93-11 scored highly sensitive (0% survival) and Milyang352 scored resistant (66.7% survival) 7 days after treatment. The DH lines reflected the differential phenotypic response observed in parental lines. Interestingly, we identified a novel quantitative trait locus (QTL) for chlorate resistance on chromosome 3 (qCHR-3, 136 cM, logarithm of the odds—LOD: 4.1) using Kompetitive Allele-Specific PCR (KASP) markers. The additive effect (−11.97) and phenotypic variation explained (PVE; 14.9%) indicated that the allele from Milyang352 explained the observed phenotypic variation. In addition, shoot growth showed a significant difference between parental lines, but not root growth. Moreover, in silico analysis identified candidate genes with diverse and interesting molecular and physiological functions. Therefore, this study suggested that the QTL qCHR-3 harbors promising candidate genes that could play a role in the regulation of nitrogen metabolism in rice.


2010 ◽  
Vol 10 (3) ◽  
pp. 339-347 ◽  
Author(s):  
Rupesh Deshmukh ◽  
Abhinay Singh ◽  
Neha Jain ◽  
Shweta Anand ◽  
Raju Gacche ◽  
...  

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