DNA metabarcoding and morphological analysis - Assessment of zooplankton biodiversity in transitional waters

被引:45
作者
Schroeder, Anna [1 ,2 ]
Stankovic, David [3 ]
Pallavicini, Alberto [2 ,4 ,5 ]
Gionechetti, Fabrizia [2 ]
Pansera, Marco [1 ]
Camatti, Elisa [1 ]
机构
[1] CNR, Inst Marine Sci CNR ISMAR, Arsenale Tesa 104,Castello 2737-F, I-30122 Venice, Italy
[2] Univ Trieste, Dept Life Sci, Via Licio Giorgieri 5, I-34127 Trieste, Italy
[3] Natl Inst Biol, Marine Biol Stn Piran, Fornace 41, Piran 6330, Slovenia
[4] Stn Zool Anton Dohrn, I-80121 Naples, Italy
[5] Natl Interuniv Consortium Marine Sci CoNISMa, Piazzale Flaminio 9, I-00196 Rome, Italy
关键词
DNA metabarcoding; Zooplankton; Cytochrome C Oxidase subunit 1 (COI); Transitional waters; Biodiversity; Biomonitoring; LAGOON-OF-VENICE; FRESH-WATER; ADRIATIC SEA; MARINE; COMMUNITIES; IDENTIFICATION; DYNAMICS; COPEPODA; VARIABILITY; HYDROLOGY;
D O I
10.1016/j.marenvres.2020.104946
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Zooplankton biodiversity assessment is a crucial element in monitoring marine ecosystem processes and community responses to environmental alterations. In order to evaluate the suitability of metabarcoding for zooplankton biodiversity assessment and biomonitoring as a fast and more cost-effective method, seasonal zooplankton sampling was carried out in the Venice Lagoon and the nearby coastal area (Northern Adriatic Sea). The molecular analysis showed higher taxa richness compared to the classical morphological method (224 vs. 88 taxa), discriminating better the meroplanktonic component, morphologically identified only up to order level. Both methods revealed a similar spatio-temporal distribution pattern and the sequence abundances and individual counts were significantly correlated for various taxonomic groups. These results indicate that DNA metabarcoding is an efficient tool for biodiversity assessments in ecosystems with high spatial and temporal variability, where high sampling effort is required as well as fast alert systems for non-native species (NIS).
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页数:15
相关论文
共 93 条
[1]   Is metabarcoding suitable for estuarine plankton monitoring? A comparative study with microscopy [J].
Abad, David ;
Albaina, Aitor ;
Aguirre, Mikel ;
Laza-Martinez, Aitor ;
Uriarte, Ibon ;
Iriarte, Arantza ;
Villate, Fernando ;
Estonba, Andone .
MARINE BIOLOGY, 2016, 163 (07)
[2]   A Method for Studying Protistan Diversity Using Massively Parallel Sequencing of V9 Hypervariable Regions of Small-Subunit Ribosomal RNA Genes [J].
Amaral-Zettler, Linda A. ;
McCliment, Elizabeth A. ;
Ducklow, Hugh W. ;
Huse, Susan M. .
PLOS ONE, 2009, 4 (07)
[3]   Applications of DNA barcoding to fish landings: authentication and diversity assessment [J].
Ardura, Alba ;
Planes, Serge ;
Garcia-Vazquez, Eva .
ZOOKEYS, 2013, (365) :49-65
[4]   Seasonal and interannual variations of phytoplankton in the Gulf of Venice (Northern Adriatic Sea) [J].
Aubry, Fabrizio Bernardi ;
Acri, Francesco ;
Bastianini, Mauro ;
Bianchi, Franco ;
Cassin, Daniele ;
Pugnetti, Alessandra ;
Socal, Giorgio .
CHEMISTRY AND ECOLOGY, 2006, 22 :71-91
[5]   Zooplankton composition along the confinement gradient of the Taranto Sea System (Ionian Sea, south-eastern Italy) [J].
Belmonte, Genuario ;
Vaglio, Irene ;
Rubino, Fernando ;
Alabiso, Giorgio .
JOURNAL OF MARINE SYSTEMS, 2013, 128 :222-238
[6]   Marine environmental DNA biomonitoring reveals seasonal patterns in biodiversity and identifies ecosystem responses to anomalous climatic events [J].
Berry, Tina E. ;
Saunders, Benjamin J. ;
Coghlan, Megan L. ;
Stat, Michael ;
Jarman, Simon ;
Richardson, Anthony J. ;
Davies, Claire H. ;
Berry, Oliver ;
Harvey, Euan S. ;
Bunce, Michael .
PLOS GENETICS, 2019, 15 (02)
[7]   Variability and fluxes of hydrology, nutrients and particulate matter between the Venice Lagoon and the Adriatic Sea. Preliminary results (years 2001-2002) [J].
Bianchi, F ;
Ravagnan, E ;
Acri, F ;
Bernardi-Aubry, F ;
Boldrin, A ;
Camatti, E ;
Cassin, D ;
Turchetto, M .
JOURNAL OF MARINE SYSTEMS, 2004, 51 (1-4) :49-64
[8]   Sequencing our way towards understanding global eukaryotic biodiversity [J].
Bik, Holly M. ;
Porazinska, Dorota L. ;
Creer, Simon ;
Caporaso, J. Gregory ;
Knight, Rob ;
Thomas, W. Kelley .
TRENDS IN ECOLOGY & EVOLUTION, 2012, 27 (04) :233-243
[9]   Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2 [J].
Bolyen, Evan ;
Rideout, Jai Ram ;
Dillon, Matthew R. ;
Bokulich, NicholasA. ;
Abnet, Christian C. ;
Al-Ghalith, Gabriel A. ;
Alexander, Harriet ;
Alm, Eric J. ;
Arumugam, Manimozhiyan ;
Asnicar, Francesco ;
Bai, Yang ;
Bisanz, Jordan E. ;
Bittinger, Kyle ;
Brejnrod, Asker ;
Brislawn, Colin J. ;
Brown, C. Titus ;
Callahan, Benjamin J. ;
Caraballo-Rodriguez, Andres Mauricio ;
Chase, John ;
Cope, Emily K. ;
Da Silva, Ricardo ;
Diener, Christian ;
Dorrestein, Pieter C. ;
Douglas, Gavin M. ;
Durall, Daniel M. ;
Duvallet, Claire ;
Edwardson, Christian F. ;
Ernst, Madeleine ;
Estaki, Mehrbod ;
Fouquier, Jennifer ;
Gauglitz, Julia M. ;
Gibbons, Sean M. ;
Gibson, Deanna L. ;
Gonzalez, Antonio ;
Gorlick, Kestrel ;
Guo, Jiarong ;
Hillmann, Benjamin ;
Holmes, Susan ;
Holste, Hannes ;
Huttenhower, Curtis ;
Huttley, Gavin A. ;
Janssen, Stefan ;
Jarmusch, Alan K. ;
Jiang, Lingjing ;
Kaehler, Benjamin D. ;
Bin Kang, Kyo ;
Keefe, Christopher R. ;
Keim, Paul ;
Kelley, Scott T. ;
Knights, Dan .
NATURE BIOTECHNOLOGY, 2019, 37 (08) :852-857
[10]   Genomics in marine monitoring: New opportunities for assessing marine health status [J].
Bourlat, Sarah J. ;
Borja, Angel ;
Gilbert, Jack ;
Taylor, Martin I. ;
Davies, Neil ;
Weisberg, Stephen B. ;
Griffith, John F. ;
Lettieri, Teresa ;
Field, Dawn ;
Benzie, John ;
Gloeckner, Frank Oliver ;
Rodriguez-Ezpeleta, Naiara ;
Faith, Daniel P. ;
Bean, Tim P. ;
Obst, Matthias .
MARINE POLLUTION BULLETIN, 2013, 74 (01) :19-31