Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Kara EL 

PROVIDER: S-EPMC3578560 | biostudies-other | 2013 Mar

REPOSITORIES: biostudies-other

altmetric image

Publications

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

Kara Emily L EL   Hanson Paul C PC   Hu Yu Hen YH   Winslow Luke L   McMahon Katherine D KD  

The ISME journal 20121011 3


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  ...[more]

Similar Datasets

| S-EPMC525233 | biostudies-literature
| S-EPMC3635242 | biostudies-other
| S-EPMC5431808 | biostudies-literature
| S-EPMC3255635 | biostudies-literature