UM  > 科技學院  > 土木及環境工程系
Profiling Phytoplankton Community in Drinking Water Reservoirs Using Deep Sequencing
Weiying Zhang1; Congyuan Cao1; Inchio Lou1; Wai Kin Ung2; Yijun Kong2; Kai Meng Mok1
2016
Source PublicationAdvances in Monitoring and Modelling Algal Blooms in Freshwater Reservoirs
Author of SourceInchio Lou • Boping Han • Weiying Zhang
PublisherSpringer, Dordrecht
Pages113-124
Abstract

Freshwater algal blooms have become a growing concern all around the world, which are caused by a high level of phytoplankton, particularly cyanobacteria that can produce cyanotoxins. The traditional manual counting of phytoplankton is mainly involving microscopic identification and counting of cells, which are limited by inaccuracy and time-consuming. As the development of molecular techniques and increasing number of microbial sequences are available in the GenBank database, the use of molecular methods can be used for more rapid, reliable, and accurate detection and quantification. However, the conventional molecular techniques, such as fluorescence in situ hybridization (FISH) and realtime qPCR, have difficulty in obtaining the complete profile of phytoplankton. In this study, metagenomic high-throughput analysis using an Ion Torrent Personal Genome Machine (PGM) was first adopted to investigate the phytoplankton community in Macau Storage Reservoir (MSR) that is recently experiencing cyanobacteria blooms. The present study showed that the total phytoplankton could be determined well through PGM. Totally 99,489 reads were recorded for phytoplankton, with 60.011 % Cyanobacteria, 39.442 % Chlorophyta, 0.001 % Euglenida, and 0.546 % Bacillariophyta. The innovative approach provides another reliable monitoring option, in addition to the traditional microscopic counting and conventional molecular techniques for ecosystem monitoring program.

KeywordPhytoplankton Algal Blooms Microscopy Deep Sequencing Ion Torrent
DOIhttps://doi.org/10.1007/978-94-024-0933-8_7
Language英语
ISBN978-94-024-0931-4
Fulltext Access
Citation statistics
Document TypeBook chapter
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Affiliation1.Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Av. Padre Toma´s Pereira Taipa, Macau SAR, China
2.Laboratory & Research Center, Macao Water Co. Ltd., Macau SAR, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Weiying Zhang,Congyuan Cao,Inchio Lou,et al. Profiling Phytoplankton Community in Drinking Water Reservoirs Using Deep Sequencing:Springer, Dordrecht,2016:113-124.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Weiying Zhang]'s Articles
[Congyuan Cao]'s Articles
[Inchio Lou]'s Articles
Baidu academic
Similar articles in Baidu academic
[Weiying Zhang]'s Articles
[Congyuan Cao]'s Articles
[Inchio Lou]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Weiying Zhang]'s Articles
[Congyuan Cao]'s Articles
[Inchio Lou]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.