Elsevier

Marine Genomics

Volume 36, December 2017, Pages 49-55
Marine Genomics

Analysis of phytoplankton assemblage structure in the Mediterranean Sea based on high-throughput sequencing of partial 18S rRNA sequences

https://doi.org/10.1016/j.margen.2017.06.001Get rights and content

Abstract

Studying taxonomic and ecological diversity of phytoplankton assemblages is often difficult because morphological analysis cannot provide a complete description of their composition. Therefore, more robust and feasible approaches have to be chosen to elucidate the interactions between environmental and human pressures and phytoplankton assemblages. The Ocean Sampling Day (OSD) allowed collecting seawater samples from a wide range of oceanic regions including the Mediterranean Sea. In this study, a total of 754,167 V4-18S ribosomal DNA (rDNA) metabarcodes derived from 20 plankton samples collected at 19 sampling sites across the coastal areas of the Mediterranean Sea were analyzed to explore the relationships between phytoplankton assemblages' composition, sub-regional environmental features and human pressures. We reduced the whole set of autotroph plankton (1398 OTUs) to a smaller number of ecologically relevant entities (205 taxa) and used the latter for analysing the structure of phytoplankton assemblages. Chaetoceros was the only genus occurring in all the samples, while the number of taxa was maximum in the W Mediterranean. Based on the assigned OTUs, the structure of E Mediterranean phytoplankton was the most homogeneous. Further, phytoplankton assemblages from the three Mediterranean sub-regions (Western, Adriatic and Eastern) were significantly different (R = 0.25, p = 0.0136) based on Jaccard similarity. We also observed that phytoplankton diversity and human impact on marine ecosystems were not significantly related to each other based on Mantel's test.

Introduction

Protists are a paraphyletic group including a wide range of microorganisms among which phytoplankton assemblages act as a primary producer. Large-scale analysis of protistans diversity is difficult owing to the huge underlying heterogeneity, which reflects their extremely broad distribution and involvement in multiple ecological and functional processes, such as global biological and geochemical processes. The taxonomic and ecological diversity study of unicellular eukaryotic primary producers is often difficult, because it is extremely time-consuming and expert based when deep morphological classification is needed. Moreover, morphological analyses alone cannot provide a complete description of the huge phytoplankton diversity (Penna et al., 2013, de Vargas et al., 2015, Malviya et al., 2016). The current high-throughput sequencing of ribosomal DNA (rDNA) genes coupled with metabarcoding allowed discovering a huge diversity at large scale in various marine ecosystems. Data sets obtained from this approach are more complete, quickly available and especially it is not based on taxonomic skills. In marine unicellular eukaryotes the hypervariable regions of 18S rDNA has been long proposed as barcode (Amaral-Zettler et al., 2009, de Vargas et al., 2015).

In the Mediterranean Sea, subregional seas and coastal areas are different due to their hydrographical and climatological regimes. Those differences imply that trophic conditions and productivity are also different, as well as the structure and dynamics of autotrophic plankton assemblages. In an oligotrophic system, such as the Mediterranean Sea, coastal productivity largely depends on inputs from rivers and areas of high productivity are mainly restricted to waters close to major freshwater inputs of rivers (D'Ortenzio and Ribera d'Alcalà, 2009, Ludwig et al., 2009). Eutrophication, i.e. anthropogenic nutrient inputs, can cause considerable shifts in coastal ecosystem structure and function (Smith and Schindler, 2009), with effects spreading along the pelagic food web (Rissik et al., 2009). Moreover, costal ecosystems impacted by anthropogenic nutrient inputs can be influenced by hydrographic variability and local conditions, which can trigger site-specific effects and patterns. While environmental drivers can select species and functions of phytoplankton assemblages (Boyd et al., 2010, Edwards et al., 2013), human activities and global climate changes are now potent new drivers that significantly affect the functioning of coastal and offshore marine ecosystems (Hallegraeff, 2010, Huertas et al., 2011, Sunday et al., 2014). The Mediterranean Sea is a critical large marine ecosystem for many reasons: it is a hot-spot of biodiversity, it is dramatically impacted by resource exploitation, maritime traffic, and, last but not least by coastal urbanization with high density population pressure (Coll et al., 2010, Micheli et al., 2013, Newton et al., 2014). These major disturbances, in addition to allochthonous species introduction, severely affect the natural balance of the Mediterranean ecosystems and have already resulted in an extensive loss of biodiversity (Occhipinti-Ambrogi, 2007, Lejeusne et al., 2010, Glibert et al., 2014). Other effects include diseases or mass mortality events that affect marine organisms, in some cases with consequent disruption of the benthic-pelagic coupling. Cascading effects induce changes in fluxes of matter and energy in trophic webs, in some case affecting also their first level through top-down effects (Scheffer et al., 2005, Winder and Sommer, 2012, Vergés et al., 2014). Consequently, the study of phytoplankton diversity composition and its fluctuations over time and space is of paramount importance in order to assess the consequences of anthropogenic perturbations to marine ecosystems.

To elucidate the relationships between composition of phytoplankton assemblages, subregional environmental features and human impact in the Mediterranean Sea, we used the metabarcode 18S rRNA amplicons in combination with some data analysis techniques commonly used in ecological research. We analyzed 18S ribosomal DNA sequences across the smallest phototroph unicellular eukaryotes (about 0.8 μm) to larger ones (about 180 μm) from coastal seawater samples collected at the summer solstice 2014 during the OSD Sampling Day (OSD) survey in the Mediterranean Sea under the EU funded Marine Microbial Biodiversity, Bioinformatics, Biotechnology Project (Micro-B3) (Kopf et al., 2015). In fact, the OSD sampling sites are located in coastal regions within exclusive economic zones (EEZ). Therefore, the OSD data set provided the opportunity to better understand the potential of a high-throughput approach in the analysis of phytoplankton assemblages in a large marine ecosystem that is comprised of very diverse subregions and exposed to relevant anthropic pressures, especially along its northern shore.

Section snippets

Sampling

This study was based on 20 samples, collected at 19 stations during the Ocean Sampling Day (OSD) Survey on summer solstice day of 2014 (Kopf et al., 2015), in the Mediterranean Sea oceanographic province. All the samples were collected within the surface layer (between 0 and 4 m depth) with the only exception of station OSD5, where two samples were collected at different depths, i.e. 1 m and 75 m. Seawater samples were collected by Niskin bottle. Seawater was filtered through 5–6 Sterivex filter

Results

Sequencing about of 754,167 V4 18S rDNA metabarcodes and extrapolating only 1398 phototroph OTUs, corresponding to 205 univocally defined taxa, from 20 plankton samples was enough to approach saturation of phototroph eukaryotic richness at local scale.

The genus Chaetoceros occurred in all samples, while 71 other taxa were present at least in one sample from all the sub-regions, including lagoons. Among the remaining taxa, 31 were found in only one of the sub-regions or in lagoons. However,

Discussion and conclusions

Microscopy techniques are still very common in the study of phytoplankton diversity, but the various molecular methods are rapidly becoming the preferred tools for characterizing phytoplankton assemblages. Among those methods, the metabarcode approach is a good candidate for routine applications because of its technical potential, but, in order to turn that potential into significant advances, the gap between sequence reads and ecologically meaningful entities must be adequately bridged.

A

Acknowledgements

Data described herein are available at EBI under the Project ID PRJEB8682: Sequencing of amplicon and metagenome samples from the main OSD event, representing joint effort of marine sampling stations around the world. The OSD campaign aims to analyse marine microbial community compositions and embedded functional traits on a single day, the solstice on 2014-06-21.

We thank also Max Planck Institute for Marine Microbiology in Bremen and Biological Institute of the Alfred Wegner Institute in

References (38)

  • C. Camacho et al.

    BLAST +: architecture and applications

    BMC Bioinf.

    (2009)
  • K.R. Clarke

    Non-parametric multivariate analyses of changes in community structure

    Austral Ecol.

    (1993)
  • M. Coll et al.

    The biodiversity of the Mediterranean Sea: estimates, patterns, and threats

    PLoS One

    (2010)
  • F. D'Ortenzio et al.

    On the trophic regimes of the Mediterranean Sea: a satellite analysis

    Biogeosciences

    (2009)
  • M. Dufrêne et al.

    Species assemblages and indicator species: the need for a flexible asymmetrical approach

    Ecol. Monogr.

    (1997)
  • K.F. Edwards et al.

    Functional traits explain phytoplankton community structure and seasonal dynamics in a marine ecosystem

    Ecol. Lett.

    (2013)
  • P.M. Glibert et al.

    Vulnerability of coastal ecosystems to changes in harmful algal bloom distribution in response to climate change: projections based on model analysis

    Glob. Chang. Biol.

    (2014)
  • J.C. Gower

    Statistical methods of comparing different multivariate analyses of the same data

  • L. Guillou et al.

    The protist ribosomal reference database (PR2): a catalog of uni-126 cellular eukaryote small sub-unit rRNA sequences with curated taxonomy

    Nucleic Acids Res.

    (2013)
  • Cited by (31)

    • Phytoplankton community and HAB species in the South China Sea detected by morphological and metabarcoding approaches

      2022, Harmful Algae
      Citation Excerpt :

      Therefore, there is an ongoing need to increase knowledge about the composition and distribution of HAB species in the SCS. The identification of marine microalgae, including HAB species, mostly relied on microscopic observations in previous studies (Penna et al., 2017). However, methods based on morphological characteristics have some limited resolutions (Liu et al., 2017).

    • Biodiversity exploration in autumn using environmental DNA in the South China sea

      2022, Environmental Research
      Citation Excerpt :

      We comprehensive analyzed the change of different assemblage structures in longitude and the relationship between assemblages and environmental factors, which is the supplement of the previous studies. Studies showed that it is often difficult to describe composition of phytoplankton by morphological analysis (Penna et al., 2017). Therefore, eDNA metabarcoding is a more robust and feasible approaches have to be chosen to elucidate the phytoplankton assemblage (Zhang et al., 2020).

    • Biodiversity of zooplankton in 0–3000 ​m waters from the eastern Indian Ocean in spring 2019 based on metabarcoding

      2022, Water Biology and Security
      Citation Excerpt :

      PCR biases, multiple copies of 18S rDNA genes, variation across taxa, and limitations of the current 18S rDNA sequence databases affect the quantitative interpretation of community compositional and spatial pattern changes from read abundance data (Gutierrez-Rodriguez et al., 2019; Savin et al., 2004). The use of multiple primers and various databases is recommended (Bradley et al., 2016; Penna et al., 2017). The combined use of morphology and genetic markers will provide insight into zooplankton spatial patterns.

    • Diversity and annual variation of phytoplankton community in Yesso scallop (Patinopecten yessoensis) farming waters of North Yellow Sea of China

      2019, Aquaculture
      Citation Excerpt :

      In the past decades, molecular approaches have overcome these limitations and opened a new window to obtain considerable insights into the microbial ecology (Morris et al., 2002). Molecular methods have also been employed for the phytoplankton community assay in marine environment (Egge et al., 2013; McDonald et al., 2007; Penna et al., 2017; Song et al., 2017; Zhen et al., 2016). However, the knowledge about genetic diversity of phytoplankton in Yesso scallop farming waters is still scarce, which becomes a hinder to gain more comprehensive insight into the phytoplankton community structure.

    View all citing articles on Scopus
    1

    These authors contributed equally to this manuscript.

    View full text