Chin Bull Bot ›› 2012, Vol. 47 ›› Issue (1): 28-35.doi: 10.3724/SP.J.1259.2012.00028

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Genetic Analysis of Seed Germinability Under Submergence in Rice

Sunlu Chen1,2†, Junmin Wang3†, Youzhao Pan4, Jianyang Ma2,5, Jianhui Zhang2,5, Hongsheng Zhang1*, Sheng Teng2*   

  1. 1State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China

    2Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China;

    3Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China;

    4College of Horticulture and Gardening, Yangtze University, Jingzhou 434025, China;

    5College of Life and Environment Science, Shanghai Normal University, Shanghai 200234, China
  • Received:2011-08-26 Revised:2011-11-10 Online:2012-01-16 Published:2012-01-01
  • Contact: Sheng Teng E-mail:steng@sippe.ac.cn
  • Supported by:

    ;National Natural Science Foundation of China;National Natural Science Foundation of China

Abstract: Submergence tolerance during germination in rice is regulated by a complex molecular network, the molecular mechanism of which is different from that of submergence tolerance during seedling stage. Germinability under submergence (GS) considerably affects seedling establishment of direct-seeded rice. According to the GS of 256 accessions of the rice core collection, both japonica and indica have high genetic variation of GS with no significant difference in GS. We constructed a linkage map of 146 molecular markers from 170 advanced inbred lines from a backcross between R0380 (japonica) and RP2334 (indica) and used composite interval mapping to detect quantitative trait loci (QTL) associated with GS (coleoptile length under hypoxia). We found 4 QTLs on chromosome 2 (2 QTLs), 3 (1 QTL), and 8 (1 QTL). The positive allele of qGS2.2, which explained 17.34% of the phenotypic variation, was from RP2334, and alleles for the other 3 QTLs came from R0380, which explained 12.86%, 9.37% and 14.60%, respectively, of the phenotypic variation.

CLC Number: 

  • Q943.2

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