Singha Roy Anindita, Gorain Prakash Chandra, Paul Ishita, Sengupta Sarban, Mondal Pronoy Kanti, Pal Ruma
Phycology Laboratory, Department of Botany, University of Calcutta 35, Ballygunge Circular Road Kolkata - 700019 West Bengal India
Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur Kharagpur - 721 302 India.
RSC Adv. 2018 Mar 5;8(17):9530-9545. doi: 10.1039/c7ra12761h. eCollection 2018 Feb 28.
Phytoplankton diversity, their abundance based on flow cytometric (FCM) analysis and seasonal nutrient dynamics were investigated from a waste water fed wetland of Eastern India (88° 24.641'E and 22° 33.115'N). The primary objective of the study was to correlate the seasonal fluctuations in phytoplankton abundance to the environmental variables. Total chlorophyll content and FCM based cell counts were used to characterize and quantify the phytoplankton population. Multivariate statistical methods were employed in predicting the possible relationships between biotic and abiotic variables. Distinct seasonal variations characterized by high abundance during the pre-summer period compared to other seasons were detected. The results indicated that environmental factors like water temperature and nutrients, such as various forms of nitrogen and phosphate, influenced the seasonal phytoplankton accumulation. Cluster analysis and non-metric multidimensional scaling helped analyze the seasonal distribution of phytoplankton based on their composition. The dominant genera among the entire phytoplankton community were spp. of Chlorophyta, followed by spp. of Cyanoprokaryota. Around 3.7 × 10 phytoplankton mL were recorded during the study period. Due to the very high count of individual species in the community, FCM based counting was applied for determination of Species Diversity Index. The entire population was divided into 13 subpopulations based on the cell sorting method and the seasonal abundance in each sub-population was illustrated.
在印度东部的一个以废水为水源的湿地(东经88°24.641′,北纬22°33.115′),对浮游植物多样性、基于流式细胞术(FCM)分析的浮游植物丰度以及季节性营养动态进行了研究。该研究的主要目的是将浮游植物丰度的季节性波动与环境变量相关联。总叶绿素含量和基于FCM的细胞计数被用于表征和量化浮游植物种群。采用多元统计方法预测生物和非生物变量之间的可能关系。检测到明显的季节性变化,其特征是与其他季节相比,夏季前期浮游植物丰度较高。结果表明,水温以及各种形式的氮和磷等营养物质等环境因素影响了浮游植物的季节性积累。聚类分析和非度量多维标度法有助于根据浮游植物的组成分析其季节性分布。整个浮游植物群落中的优势属是绿藻门的物种,其次是蓝原核生物的物种。在研究期间记录到约3.7×10个浮游植物/毫升。由于群落中单个物种的数量非常多,基于FCM的计数被用于确定物种多样性指数。根据细胞分选方法将整个种群分为13个亚群,并说明了每个亚群的季节性丰度。