Abstract
Background
Nitrogen (N) is a major input cost in rice production, in addition to causing severe pollution to agricultural and ecological environments. Root dry weight has been considered the most important component related to crop yields than the other root traits. Therefore, development of rice varieties/lines with low input of N fertilizer and higher root traits are essential for sustainable rice production.
Results
In this context, a main effect quantitative trait locus qRDWN6XB on the long arm of chromosome 6 which positively confers tolerance to N deficiency in the Indica rice variety XieqingzaoB, was identified using a chromosomal segment substitution line (CSSL) population. qRDWN6XB was determined to be located near marker InD90 on chromosome 6 based on association analysis of phenotype data from three N levels and 120 polymorphic molecular markers. The target chromosomal segment substitution line CSSL45, which has the higher root dry weight (RDW) than indica cultivar Zhonghui9308 and carry qRDWN6XB, was selected for further study. A BC5F2:3 population derived from a cross between CSSL45 and Zhonghui9308 was constructed. To fine-map qRDWN6XB, we used the homozygous recombinant plants and ultimately this locus was narrowed to a 52.3-kb between markers ND-4 and RM19771, which contains nine candidate genes in this region. One of these genes, LOC_Os06g15910 as a potassium transporter was considered a strong candidate gene for the qRDWN6XB locus.
Conclusions
The identification of qRDWN6XB provides a new genetic resource for breeding rice varieties and a starting point to improve grain yield despite the decreased input of N fertilizers. The newly developed and tightly linked InDel marker ND-4 will be useful to improve the root system architecture under low N by marker-assisted selection (MAS) in rice breeding programs.
Copyright © 2003-2019 China National Rice Research Institute. 中国水稻研究所 版权所有
地址:杭州市富阳区水稻所路28号(邮政编码:311401)电话:+86 571 63370590
杭州市拱墅区体育场路359号(邮政编码:310006)
京ICP备10039560号-5 浙公网安备33010302000429号
技术支持:中国农业科学院农业信息研究所