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Recovery growth of Microcystis aeruginosa after the sub-high temperature stress.

LI Ting1,2, JING Yuan-shu1,2,3, HAN Wei1,2, ZHANG Xiao-yi3   

  1. (1Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing 210044, China;  2College of Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China; 3Jiangsu Key Laboratory of Agricultural Meteorology, Nanjing 210044, China)
  • Online:2014-11-18 Published:2014-11-18

Abstract: Recovery growth of Microcystis aeruginosa after sub-high temperature stress was investigated in this paper. The treated groups under 35 ℃ were cultured for 3, 6, and 12 days before being transferred to normal conditions, and the algae under 25 ℃ all the time was set as the control. Cell density, chlorophyll a, carotenoid, malondialdehyde and antioxidant enzymes activities were measured. The results showed that the growth of M. aeruginosa was inhibited significantly under the sub-high temperature stress. The cell density and chlorophyll a content were 14.5% and 22.3% lower than the control respectively on the 12th day, but carotenoid synthesis was not inhibited obviously. The longer the stress was, the higher the malondialdehyde content and SOD, CAT activities became. After the relief of stress, algal cells got recovered with the decreasing malondialdehyde content and antioxidase activities. The 3-, 6- and 12-day stress treatments at 35 ℃ showed undercompensation, overcompensation and exactcompensation, respectively, indicating that the compensatory degree was decided by the time under stress. As the recovery time proceeded, the difference between treated groups and the control reduced gradually. The growth parameters tended to be stable. Regression equations of cell density and chlorophyll a changing with the stress time and recovery time were revealed. The compensation effect of M. aeruginosa was similar to the process of algal bloom. According to this endogenous biological characteristic, this study provided a theoretical support for prediction system of algal bloom.