张金勇,高养春,Amir Shah Ruddin Md Sah,Aileen TAN Shau-Hwai,Norlaila Binti Mohd Zanuri,李宏俊
1.国家海洋环境监测中心 海洋生态室，辽宁 大连 116023； 2.School of Biological Sciences，Universiti Sains Malaysia，Penang 11800，Malaysia; 3. Centre For Marine & Coastal Studies，Universiti Sains Malaysia，Penang 11800，Malaysia
Diversity analysis of zooplankton in Matang Mangrove Reserve in Malaysia by high-throughput sequencing and morphological identification methods
ZHANG Jinyong, GAO Yangchun, Amir Shah Ruddin Md Sah, Aileen TAN Shau-Hwai,Norlaila Binti Mohd Zanuri, LI Hongjun1*
1.Marine Ecology Department, National Marine Environmental Monitoring Center, Dalian 116023, China; 2.School of Biological Sciences, Universiti Sains Malaysia, Penang 11800, Malaysia; 3.Centre For Marine & Coastal Studies, Universiti Sains Malaysia, Penang 11800, Malaysia
Abstract: In order to evaluate the application potential of DNA metabarcoding technology in marine biodiversity monitoring, the composition and structure of zooplankton community were analyzed in samples collected from 10 stations (SO1-SO10) in Matang Mangrove Reserve in Malaysia by metabarcoding and morphological identification methods in August of 2018. A total of 249 operational taxonomic units (OTUs) belonging to 25 phyla, 88 orders and 138 genera was identified using the metabarcoding methods with 18S rDNA V4 area as the marker gene. However, under a light microscope, only 2 phyla, 6 orders and 13 genera were identified by morphological methods. The most taxa including 100% phylum, 83% order and 54% genus were observed under morphological methods, while they were also identified using metabarcoding methods. On the contrary, the most taxa including 92% phylum, 94% order and 95% genus identified using metabarcoding methods were not identified by morphological methods. The 10 samples of zooplankton collected from the 10 stations were divided into 3 categories (at the level of phylum and order levels) based on the similarity cluster tree of heatmap diagram by metabarcoding methods: category I (SO1, SO2, SO3 and SO6), category Ⅱ (SO4, SO7, SO8, SO9 and SO10) and category Ⅲ (SO5). But at the level of genus levels, SO4 was classified from category Ⅱ to category Ⅰ. Comparison of the two methods revealed that the DNA metabarcoding technology was characterized by the high identification efficiency, low cost, and more zooplankton species and richness information. The accuracy of DNA barcoding technology will be improved with the continuous improvement of the DNA metabarcoding technology system and updating of the database, and will have a broader application potential in the evaluation of plankton biodiversity.
张金勇, 高养春, Amir Shah Ruddin Md Sah, Aileen TAN Shau-Hwai, Norlaila Binti Mohd Zanuri, 李宏俊. 基于高通量测序和形态学鉴定的马来西亚马塘红树林区浮游动物多样性分析[J]. 大连海洋大学学报, 2021, 36(6): 910-919.
ZHANG Jinyong, GAO Yangchun, Amir Shah Ruddin Md Sah, Aileen TAN Shau-Hwai, Norlaila Binti Mohd Zanuri, LI Hongjun. Diversity analysis of zooplankton in Matang Mangrove Reserve in Malaysia by high-throughput sequencing and morphological identification methods. Journal of Dalian Ocean University, 2021, 36(6): 910-919.
2021, Vol. 36 
