Mapping of QTLs for source and sink associated traits under elevated CO2 in rice (Oryza sativa L.)

被引:0
|
作者
Li-Ping Dai
Xue-Li Lu
Wei-Wei Zou
Chang-Jian Wang
Lan Shen
Jiang Hu
Guang-Heng Zhang
De-Yong Ren
Guang Chen
Qiang Zhang
Da-Wei Xue
Guo-Jun Dong
Zhen-Yu Gao
Long-Biao Guo
Li Zhu
Tong-Min Mou
Qian Qian
Da-Li Zeng
机构
[1] State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement,State Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan)
[2] China National Rice Research Institute,College of Life and Environmental Sciences
[3] Huazhong Agricultural University,undefined
[4] Hangzhou Normal University,undefined
来源
Plant Growth Regulation | 2020年 / 90卷
关键词
CO; concentration; Chromosome segment substitution line; QTL; Rice;
D O I
暂无
中图分类号
学科分类号
摘要
Rice source- and sink-associated traits are important for grain yield and are sensitive to environmental conditions. The continuing increase of CO2 concentrations in the atmosphere will become a major challenge for rice growth and development in the future due to changes in our climate such as extremes in temperature. To guarantee food safety, novel genetic loci need to be identified for source- and sink-associated traits that are specifically expressed under elevated CO2 conditions. Eighty chromosome segment substitution lines carrying japonica (Nipponbare) chromosome segments in the indica (9311) background were used in this study. QTL analysis was conducted for source- and sink-related traits, including flag leaf length, flag leaf width, flag leaf fresh weight, flag leaf dry weight, primary branch number, secondary branch number, grain number per panicle, panicle weight per plant, chlorophyll a, chlorophyll b, and carotenoid contents, under ambient CO2 concentrations and free-air CO2 enrichment. A total of 49 QTLs for these traits were detected on chromosomes 1, 3, 5, 6, 7, 9, and 12 under the two conditions; the variance explained by these QTLs varied from 6.22 to 38.15%. Among these QTLs, 19 of them were detected under the natural field conditions and 30 were detected in the elevated CO2 conditions. In addition, 2 and 13 QTLs were specifically expressed in the natural and CO2-enriched conditions, respectively. Our findings have important implications on the utilization of germplasm resources for ensuring food security under elevated CO2 levels, especially for QTLs that were specifically detected under the elevated CO2 condition.
引用
收藏
页码:359 / 367
页数:8
相关论文
共 50 条
  • [1] Mapping of QTLs for source and sink associated traits under elevated CO2 in rice (Oryza sativa L.)
    Dai, Li-Ping
    Lu, Xue-Li
    Zou, Wei-Wei
    Wang, Chang-Jian
    Shen, Lan
    Hu, Jiang
    Zhang, Guang-Heng
    Ren, De-Yong
    Chen, Guang
    Zhang, Qiang
    Xue, Da-Wei
    Dong, Guo-Jun
    Gao, Zhen-Yu
    Guo, Long-Biao
    Zhu, Li
    Mou, Tong-Min
    Qian, Qian
    Zeng, Da-Li
    PLANT GROWTH REGULATION, 2020, 90 (02) : 359 - 367
  • [2] Mapping QTLs underlying seedling vigour traits in rice (Oryza sativa L.)
    Kanbar, A
    Janamatti, M
    Sudheer, E
    Vinod, MS
    Shashidhar, HE
    CURRENT SCIENCE, 2006, 90 (01): : 24 - 26
  • [4] Identification and mapping of QTLs for agronomic traits in indica — indica cross of rice (Oryza sativa L.)
    A. Sabouri
    M. Toorchi
    B. Rabiei
    S. Aharizad
    A. Moumeni
    R. K. Singh
    Cereal Research Communications, 2010, 38 : 317 - 326
  • [5] Mapping of QTLs for eating and cooking quality-related traits in rice (Oryza sativa L.)
    Yujia Leng
    Dawei Xue
    Yaolong Yang
    Shikai Hu
    Yan Su
    Lichao Huang
    Lan Wang
    Tingting Zheng
    Guanghen Zhang
    Jiang Hu
    Zhenyu Gao
    Longbiao Guo
    Qian Qian
    Dali Zeng
    Euphytica, 2014, 197 : 99 - 108
  • [6] Mapping of QTLs for eating and cooking quality-related traits in rice (Oryza sativa L.)
    Leng, Yujia
    Xue, Dawei
    Yang, Yaolong
    Hu, Shikai
    Su, Yan
    Huang, Lichao
    Wang, Lan
    Zheng, Tingting
    Zhang, Guanghen
    Hu, Jiang
    Gao, Zhenyu
    Guo, Longbiao
    Qian, Qian
    Zeng, Dali
    EUPHYTICA, 2014, 197 (01) : 99 - 108
  • [7] Identification and Mapping of QTLs for Agronomic Traits in indica - indica Cross of Rice (Oryza sativa L.)
    Sabouri, A.
    Toorchi, M.
    Rabiei, B.
    Aharizad, S.
    Moumeni, A.
    Singh, R. K.
    CEREAL RESEARCH COMMUNICATIONS, 2010, 38 (03) : 317 - 326
  • [8] Rice (Oryza sativa L.) phenolic compounds under elevated carbon dioxide (CO2) concentration
    Goufo, Piebiep
    Pereira, Jose
    Moutinho-Pereira, Jose
    Correia, Carlos M.
    Figueiredo, Nuno
    Carranca, Corina
    Rosa, Eduardo A. S.
    Trindade, Henrique
    ENVIRONMENTAL AND EXPERIMENTAL BOTANY, 2014, 99 : 28 - 37
  • [9] Mapping QTLs for phosphorus deficiency tolerance in rice (Oryza sativa L.)
    Ni, JJ
    Wu, P
    Senadhira, D
    Huang, N
    THEORETICAL AND APPLIED GENETICS, 1998, 97 (08) : 1361 - 1369
  • [10] Mapping of QTLs for leaf developmental behavior in rice (Oryza sativa L.)
    Dong, YJ
    Kamiunten, H
    Ogawa, T
    Tsuzuki, E
    Terao, H
    Lin, DZ
    Matsuo, M
    EUPHYTICA, 2004, 138 (02) : 169 - 175