Content area

Abstract

DNA barcoding provides accurate identification of zooplankton species through all life stages. Single-gene-targeted metagenomic analysis based on DNA barcode databases can facilitate longterm monitoring of zooplankton communities. With the help of the available zooplankton databases, the zooplankton community of the Changjiang (Yangtze) River estuary was studied using a single-gene-targeted metagenomic method to estimate the species richness of this community. A total of 856 mitochondrial cytochrome oxidase subunit 1 (cox1) gene sequences were determined. The environmental barcodes were clustered into 70 molecular operational taxonomic units (MOTUs). Forty-two MOTUs matched barcoded marine organisms with more than 90% similarity and were assigned to either the species (similarity>96%) or genus level (similarity<96%). Sibling species could also be distinguished. Many species that were overlooked by morphological methods were identified by molecular methods, especially gelatinous zooplankton and merozooplankton that were likely sampled at different life history phases. Zooplankton community structures differed significantly among all of the samples. The MOTU spatial distributions were influenced by the ecological habits of the corresponding species. In conclusion, single-gene-targeted metagenomic analysis is a useful tool for zooplankton studies, with which specimens from all life history stages can be identified quickly and effectively with a comprehensive database.

Details

Title
Zooplankton community analysis in the Changjiang River estuary by single-gene-targeted metagenomics
Author
Cheng, Fangping 1 ; Wang, Minxiao 2 ; Li, Chaolun 2 ; Sun, Song 2 

 Chinese Academy of Sciences, Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Qingdao, China (GRID:grid.9227.e) (ISNI:0000000119573309); University of Chinese Academy of Sciences, Beijing, China (GRID:grid.410726.6) (ISNI:0000000417978419) 
 Chinese Academy of Sciences, Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Qingdao, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
Pages
858-870
Publication year
2014
Publication date
Jul 2014
Publisher
Springer Nature B.V.
ISSN
02544059
e-ISSN
19935005
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1543940698
Copyright
© Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag Berlin Heidelberg 2014.