Project ID: PRJEB14911

A decade of seasonal dynamics and co-occurrences within freshwater bacterioplankton communities from eutrophic Lake Mendota, WI, USA

  Source:  NCBI BioProject  ( ID PRJEB14911 )

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Project name: -

Description: With an unprecedented decade-long time series from a temperate eutrophic lake, we analyzed bacterial and environmental co-occurrence networks to gain insight into seasonal dynamics at the community level. We found that (1) bacterial co-occurrence networks were non-random, (2) season explained the network complexity and (3) co-occurrence network complexity was negatively correlated with the underlying community diversity across different seasons. Network complexity was not related to the variance of associated environmental factors. Temperature and productivity may drive changes in diversity across seasons in temperate aquatic systems, much as they control diversity across latitude. While the implications of bacterioplankton network structure on ecosystem function are still largely unknown, network analysis, in conjunction with traditional multivariate techniques, continues to increase our understanding of bacterioplankton temporal dynamics.

Data type: Other

Sample scope: Monoisolate

Relevance: -

Submitter: -

Organization: University of California San Diego Microbiome Initiative

Accession in other database: -

Literature(s): -

Release date: -

Updated: 2016-07-27

DOI: -

Statistic:

  • Assembly: -
  • Sample: 96
  • Experiments: 96
  • Runs: 96
  • Single cell: -
  • Metabolism: -
  • Sequence: -
  • Virus Sequence: -
  • Variation: -

Data size: --

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