Literature DB >> 16800384

Identification of quantitative trait loci for ABA sensitivity at seed germination and seedling stages in rice.

Jun You1, Qiang Li, Bing Yue, Wei-Ya Xue, Li-Jun Luo, Li-Zhong Xiong.   

Abstract

Abscisic acid (ABA) is one of the important plant hormones, which plays a critical role in seed development and adaptation to abiotic stresses. The sensitivity of rice (Oryza sativa L.) to exogenous ABA at seed germination and seedling stages was investigated in the recombinant inbred line (RIL) population derived from a cross between irrigated rice Zhenshan 97 and upland rice IRAT109, using relative germination vigor (RGV), relative germination rate (RGR) and leaf rolling scores of spraying (LRS) or culturing (LRC) with ABA as sensitivity indexes. The phenotypic correlation analysis revealed that only RGV at germination stage was positively correlated to ABA sensitivity at seedling stage. QTL detection using composite interval mapping (CIM) and mixed linear model was conducted to dissect the genetic basis of ABA sensitivity, and the single-locus QTLs detected by both methods are in good agreement with each other. Five single QTLs and six pairs of epistatic QTLs were detected for ABA sensitivity at germination stage. Eight single QTLs and five pairs of epistatic QTLs were detected for ABA sensitivity at seedling stage. Two QTLs were common between LRS and LRC; and one common QTL was detected for RGV, LRS and LRC simultaneously. These results indicated that both single and epistatic loci were involved in the ABA sensitivity in rice, and the genetic basis of ABA sensitivity at seed germination and seedling stage was largely different.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16800384     DOI: 10.1016/S0379-4172(06)60082-6

Source DB:  PubMed          Journal:  Yi Chuan Xue Bao        ISSN: 0379-4172


  6 in total

1.  Genome-wide association study of salt tolerance at the seed germination stage in rice.

Authors:  Yingyao Shi; Lingling Gao; Zhichao Wu; Xiaojing Zhang; Mingming Wang; Congshun Zhang; Fan Zhang; Yongli Zhou; Zhikang Li
Journal:  BMC Plant Biol       Date:  2017-05-30       Impact factor: 4.215

2.  Analysis of drought-responsive signalling network in two contrasting rice cultivars using transcriptome-based approach.

Authors:  Pratikshya Borah; Eshan Sharma; Amarjot Kaur; Girish Chandel; Trilochan Mohapatra; Sanjay Kapoor; Jitendra P Khurana
Journal:  Sci Rep       Date:  2017-02-09       Impact factor: 4.379

3.  Simultaneous Improvement and Genetic Dissection of Drought Tolerance Using Selected Breeding Populations of Rice.

Authors:  Yanru Cui; Wenying Zhang; Xiuyun Lin; Shizhong Xu; Jianlong Xu; Zhikang Li
Journal:  Front Plant Sci       Date:  2018-03-15       Impact factor: 5.753

4.  Genetic dissection of pre-harvest sprouting resistance in an upland rice cultivar.

Authors:  Yosuke Mizuno; Utako Yamanouchi; Tomoki Hoshino; Yasunori Nonoue; Kazufumi Nagata; Shuichi Fukuoka; Tsuyu Ando; Masahiro Yano; Kazuhiko Sugimoto
Journal:  Breed Sci       Date:  2018-03-27       Impact factor: 2.086

5.  Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions.

Authors:  Margaret Catolos; Nitika Sandhu; Shalabh Dixit; Noraziya A A Shamsudin; Ma E B Naredo; Kenneth L McNally; Amelia Henry; Ma G Diaz; Arvind Kumar
Journal:  Front Plant Sci       Date:  2017-10-16       Impact factor: 5.753

6.  Leaf morphology, rather than plant water status, underlies genetic variation of rice leaf rolling under drought.

Authors:  Andrew J Cal; Millicent Sanciangco; Maria Camila Rebolledo; Delphine Luquet; Rolando O Torres; Kenneth L McNally; Amelia Henry
Journal:  Plant Cell Environ       Date:  2019-02-20       Impact factor: 7.228

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.