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A comprehensive dataset on spatiotemporal variation of microbial plankton communities in the Baltic Sea.
Latz, Meike A C; Andersson, Agneta; Brugel, Sonia; Hedblom, Mikael; Jurdzinski, Krzysztof T; Karlson, Bengt; Lindh, Markus; Lycken, Jenny; Torstensson, Anders; Andersson, Anders F.
Afiliação
  • Latz MAC; KTH Royal Institute of Technology, Department of Gene Technology, Science for Life Laboratory, Stockholm, Sweden. meike.latz@scilifelab.se.
  • Andersson A; University of Copenhagen, Department of Plant and Environmental Sciences, Frederiksberg C, Denmark. meike.latz@scilifelab.se.
  • Brugel S; Umeå University, Department of Ecology and Environmental Sciences, Umeå, Sweden.
  • Hedblom M; Umeå Marine Sciences Centre, Umeå University, SE-905 71, Hörnefors, Sweden.
  • Jurdzinski KT; Umeå University, Department of Ecology and Environmental Sciences, Umeå, Sweden.
  • Karlson B; Umeå Marine Sciences Centre, Umeå University, SE-905 71, Hörnefors, Sweden.
  • Lindh M; Swedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden.
  • Lycken J; KTH Royal Institute of Technology, Department of Gene Technology, Science for Life Laboratory, Stockholm, Sweden.
  • Torstensson A; Swedish Meteorological and Hydrological Institute, Oceanographic Research, Västra Frölunda, Sweden.
  • Andersson AF; Swedish Meteorological and Hydrological Institute, Community Planning Services - Oceanography, Västra Frölunda, Sweden.
Sci Data ; 11(1): 18, 2024 Jan 02.
Article em En | MEDLINE | ID: mdl-38168085
ABSTRACT
The Baltic Sea is one of the largest brackish water environments on earth and is characterised by pronounced physicochemical gradients and seasonal dynamics. Although the Baltic Sea has a long history of microscopy-based plankton monitoring, DNA-based metabarcoding has so far mainly been limited to individual transect cruises or time-series of single stations. Here we report a dataset covering spatiotemporal variation in prokaryotic and eukaryotic microbial communities and physicochemical parameters. Within 13-months between January 2019 and February 2020, 341 water samples were collected at 22 stations during monthly cruises along the salinity gradient. Both salinity and seasonality are strongly reflected in the data. Since the dataset was generated with both metabarcoding and microscopy-based methods, it provides unique opportunities for both technical and ecological analyses, and is a valuable biodiversity reference for future studies, in the prospect of climate change.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plâncton / Microbiota País/Região como assunto: Europa Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plâncton / Microbiota País/Região como assunto: Europa Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suécia