Mining of Candidate Maize Genes for Nitrogen Use Efficiency by Integrating Gene Expression and QTL Data
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- 作者：Ruixiang Liu (12)
Hao Zhang (1)
Pu Zhao (1)
Zuxin Zhang (12) zuxinzhang@mail.hzau.edu.cn
Wenke Liang (3)
Zhigang Tian (4)
Yonglian Zheng (2) - 关键词：Maize – ; Nitrogen use efficiency (NUE) – ; Quantitative trait loci (QTL) – ; Carbon assimilation – ; Introgression line
- 刊名：Plant Molecular Biology Reporter
- 出版年：2012
- 出版时间：April 2012
- 年：2012
- 卷：30
- 期：2
- 页码：297-308
- 全文大小：417.2 KB
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- 刊物类别：Biomedical and Life Sciences
- 刊物主题：Life Sciences
Plant Sciences
Plant Physiology - 出版者：Springer Netherlands
- ISSN：1572-9818
文摘
Breeding maize varieties for high nitrogen (N) use efficiency (NUE) by marker-assisted selection using NUE quantitative trait locus (QTL) or by genetic transfer of NUE-associated genes is a viable approach for increasing grain yield in N-limited production areas. In this investigation, we evaluated a set of introgression line populations under N supply and N deficiency conditions. From 42 QTLs for grain yield and yield components, 23 were identified under N supply conditions and 33 from N limited conditions. Meta-analysis of published maize NUE QTLs revealed 37 “consensus” QTLs, of which, 18 was detected under low N conditions. In addition, 258 unique ESTs associated with low N stress response, N uptake, transport, and assimilation were aligned on the maize genome by in silico mapping. Integrating the EST map with the QTL map has resulted in the identification of candidate NUE-associated genes of the following functional categories: N uptake, transport, and assimilation; carbon (C) metabolism and assimilation; and cascades of stress response and signal transduction genes. Nine candidates that have been introgressed into Ye478 significantly altered grain yield/yield components. It is suggested that the dynamics of interactions between C and N metabolism are important for maize yield. A high NUE variety should have a highly efficient C assimilation per unit N and actively express CO2 assimilation-related genes under N-limited conditions.