Near‐shore microbial communities (Eukaryotes, Bacteria and Archaea) of the sub‐Antarctic Prince Edward Islands

Última versión publicado por SCAR - Microbial Antarctic Resource System el mar 19, 2019 SCAR - Microbial Antarctic Resource System
Fecha de publicación:
19 de marzo de 2019
CC-BY 4.0

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Amplicon sequencing dataset of microbial eukaryotes (18S ssh rRNA); bacteria (16S) and Archaea (16S) from coastal seawater near the shore of the Prince Edward Islands (Indian Ocean, Sub-Antarctica); sampled from a single location (37.58 degrees South 46.36 degrees East) in 2012, 2013, 2014 and 2015.


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¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

Venkatachalam S, Matcher G, Lamont T, Dorrington R (2018): Near‐shore microbial communities (Eukaryotes, Bacteria and Archaea) of the sub‐Antarctic Prince Edward Islands. v1.2. SCAR - Microbial Antarctic Resource System. Dataset/Metadata.


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El publicador y propietario de los derechos de este trabajo es SCAR - Microbial Antarctic Resource System. Esta obra está bajo una licencia Creative Commons de Atribución/Reconocimiento (CC-BY 4.0).

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: 576f1f95-2ad4-4d23-a052-c02d901929f1.  SCAR - Microbial Antarctic Resource System publica este recurso y está registrado en GBIF como un publicador de datos avalado por Scientific Committee on Antarctic Research.

Palabras clave



Siddarthan Venkatachalam
  • Originador
Rhodes University
Gwynneth Matcher
  • Originador
Rhodes University
Tarron Lamont
  • Originador
Department of Environmental Affairs
Cape Town
Rosemary Dorrington
  • Originador
  • Punto De Contacto
Rhodes University
Maxime Sweetlove
  • Proveedor De Los Metadatos
Research assistent
Royal Belgian Institute for Natural Sciences
Rue Vautier 29
1000 Brussels

Cobertura geográfica

Sampled near the Prince Edward Islands (Indian Ocean, Sub-Antarctica); 37.58 degrees South 46.36 degrees East

Coordenadas límite Latitud Mínima Longitud Mínima [-37,58, 46,36], Latitud Máxima Longitud Máxima [-37,58, 46,36]

Cobertura taxonómica

Microbial Eukaryotes (18S ssh rRNA gene, v9), Bacteria (16S ssh rRNA gene, v4-v5) and Archaea (16S ssh rRNA gene, v4-v5)

Dominio Eukaryota (Eukaryotes), Bacteria (Bacteria), Archaea (Archaea)

Cobertura temporal

Periodo de formación 2012-2015

Datos del proyecto

No hay descripción disponible

Título Influence of oceanographic variability on near‐shore microbial communities
Fuentes de Financiación This project was funded by grants from the South African National Antarctic Programme (SANAP) through the South African National Research Foundation (NRF) to R.A.D. (80260) and I.J.A. (80270) and the Rhodes University Sandisa Imbewu Programme; the DST/NRF SARChI Post‐Doctoral Fellowship (87583); the South African Department of Environmental Affairs (DEA) and the University of Cape Town and Rhodes University.

Personas asociadas al proyecto:

Siddarthan Venkatachalam

Métodos de muestreo

Two liters of surface (5 m depth) seawater was initially filtered through 100 μm mesh to remove particulate matter, after which microbial biomass was collected by filtration through 0.22 μm Polyethersulfone (PES) membrane (Pall Corporation). The filters were immersed in RNALater (Qiagen) and stored at −20°C.

Área de Estudio Seawater samples were collected at a near‐shore site on the northeast coast of PEI at 46°36.415′S; 37°58.553′E during the austral autumn (April) and winter (July) seasons in 2012 as well as the austral autumn (May) for years 2013, 2014, and 2015.

Descripción de la metodología paso a paso:

  1. Genomic DNA (gDNA) and RNA were extracted from PES filters using the AllPrep DNA/RNA Mini Kit (Qiagen) according to the manufacturer's instructions. For the rRNA sequencing, isolated RNA was converted to cDNA using the QuantiTect Reverse Transcription Kit (Qiagen) according to the manufacturer's protocol. For the analysis of bacterial community composition, the V4‐V5 variable regions of the bacterial 16S rRNA gene were amplified by PCR using the E517F (5′‐CAG CAG CCG CGG TAA‐3′) and E969‐984R (5′‐GTA AGG TTC YTC GCG T‐3′) primers) with suitable multiplex identifier tags and sequencing primer binding sites attache. For the analysis of eukaryotic phytoplankton community diversity, PCR amplification of 18S rRNA gene sequences was carried out using primers 1391F: 5′‐GTA CAC ACC GCC CGT C‐3′ (Saccharomyces cerevisiae position 1629–1644) and EukB: 5′‐TGA TCC TTC TGC AGG TTC ACC TAC‐3′ (S. cerevisiae position 1774–1797) targeting the V9 regions of the eukaryotic SSU rRNA. Archaeal 16S rRNA gene sequences (V4‐V5 variable regions) were amplified using pr514–528: 5′‐GGT GYC AGC CGC CGC‐3′ and A906R: 5’‐CCC GCC AAT TCC TTT AAG TTTC‐3, respectively.
  2. PCR amplification of the bacteria, phytoplankton and archaeal gene fragments was carried out in a 25 μL reaction volume comprising 10 ng of the extracted DNA and using KAPAHiFi Hotstart DNA Polymerase (KAPA Biosystems) according to the manufacturer's instructions. For bacterial 16S rRNA gene amplification, the reaction mixtures were subjected to the reaction conditions described in Matcher et al. (2011). For 18S rRNA amplification, the PCR cycling parameters were as follows: 98°C (45 s), 57°C (30 s), 72°C (45 s) for five cycles, 98°C (45 s), 65°C (30 s), and 72°C (45 s) for 15 cycles and a final extension at 72°C for 5 min. For archaeal 16S rRNA gene amplification, cycling conditions were used as for the 18S rRNA amplification with amendments of the annealing temperatures to 56°C (30 s) for the first five cycles and 59°C (30 s) for next 15 cycles.
  3. The PCR amplification products were gel‐purified using the ISOLATE II PCR and Gel Kit (Bioline), subjected to emulsion PCR, and then sequenced using the GS Junior Titanium Sequencer (454 Life Sciences, Roche).

Referencias bibliográficas

  1. Venkatachalam, S., Matcher, G. F., Lamont, T., van den Berg, M., Ansorge, I. J., & Dorrington, R. A. (2018). Influence of oceanographic variability on near‐shore microbial communities of the sub‐Antarctic Prince Edward Islands. Limnology and Oceanography.

Metadatos adicionales

Identificadores alternativos 576f1f95-2ad4-4d23-a052-c02d901929f1