摘要
我国南北方海域均有浒苔Enteromorpha sp.分布,但是迄今为止,鲜有关于南方海域浒苔的深入研究。对从大亚湾虾池中采集的浒苔进行了基于18S rDNA序列的分子鉴定,并研究了该浒苔对养殖废水中营养盐的吸收特性。18S RNA基因扩增及测序后获得长1154bp的序列,序列比对及种系发生分析结果表明,大亚湾浒苔与Ulva intestinalis关系较近,与引起青岛"绿潮"的浒苔差异较大。对养殖废水中营养盐的吸收结果表明,利用该浒苔处理养殖废水的最优添加量为1.1g·L 1。在该添加量条件下,浒苔4h能去除养殖废水中65%的PO4-P、47%的NO2-N、91%的NO3-N、50%的NH4-N;8h对PO4-P的去除率达72%,对NO2-N的去除率为81%,对NO3-N的去除率为100%,对NH4-N的去除率为74%。因此,利用浒苔处理养殖废水具有时间短、效率高的特点,可用于富营养化水体或养殖废水的处理。研究可为海水养殖业的可持续发展提供一定的科学依据。
The seaweed Enteromorpha sp. distributes widely in the coastal areas of China. There are, however, few studies on Enteromorpha in the South China Sea. In this study, we identified one Enteromorpha sp. isolated from Daya Bay using molecular method based on 18S rDNA sequence, and analyzed its nutrient （PO4-P, NO2-N, NO3-N, and NH4-N） removal capacity in aquaculture wastewater. The 18S rRNA gene sequence of Enteromorpha sp. was acquired with the length of 1154bp. Blast search and phylogenetic analysis showed that Enteromorpha sp. from Daya Bay was closely related to Ulva intestinalis and had large genetic distance with the species that caused the green tide in Qingdao in 2008. The results of nutrient absorption experiment indicated that the optimal treatment dose of Enteromorpha sp. for the wastewater was 1.1 g·L？1. Sixty-five percent of PO4-P, 47% of NO2-N, 91% of NO3-N, and 50% of NH4-N could be removed by the seaweed in four hours, and 72%of PO4-P, 81%of NO2-N, 100%of NO3-N, and 74%of NH4-N could be removed in eight hours. Therefore, it has advantage of high efficiency to use Enteromorpha to treat aquaculture wastewater. Enteromorpha can be a candidate for treating eutrophic water or aquaculture wastewater. This study could provide a scientific reference for the treatment and utilization of farming wastewater.
出处
《热带海洋学报》
CAS
CSCD
北大核心
2013年第5期93-98,共6页
Journal of Tropical Oceanography
基金
中国科学院知识创新工程重要方向项目(KZCXZ-EW-Q212)
国家自然科学基金面上项目(31070106)
"十二五"国家科技支撑计划课题(2011BAD13B02
2012BAD18B03)
中国科学院南海海洋研究所青年前沿重点项目(SQ200801)
作者简介
作者简介：江海英（1987-），女，福建省漳州市人，硕士研究生，研究方向为海洋生物技术。E-mail：fjzzjianghy@163.com
通信作者：胡超群，男，研究员。E-mail：hucq@scsio．ac．cn；Tel：020-89023218
