SynthesisMicrobial ecology2010
Seasonal and episodic lake mixing stimulate differential planktonic bacterial dynamics.
Synthesis in Microbial ecology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
13 citing papers in PubMed.
- From chaos to order: cross-kingdom coordination buffers microbial communities against typhoon impacts.BMC microbiology · 2026Article
- Aqueous Geochemical Controls on the Sestonic Microbial Community in Lakes Michigan and Superior.Microorganisms · 2023Article
- The sensitivity and stability of bacterioplankton community structure to wind-wave turbulence in a large, shallow, eutrophic lake.Scientific reports · 2017Article
- Article
- A unique assemblage of cosmopolitan freshwater bacteria and higher community diversity differentiate an urbanized estuary from oligotrophic Lake Michigan.Frontiers in microbiology · 2015Article
- Fine-scale spatial patterns in bacterial community composition and function within freshwater ponds.The ISME journal · 2014Article
- Assessing the effects of severe rainstorm-induced mixing on a subtropical, subalpine lake.Environmental monitoring and assessment · 2014Article
- Seasonal variations and resilience of bacterial communities in a sewage polluted urban river.PloS one · 2014Article
- Resource availability and spatial heterogeneity control bacterial community response to nutrient enrichment in lakes.PloS one · 2014Article
- The bias associated with amplicon sequencing does not affect the quantitative assessment of bacterial community dynamics.PloS one · 2014Article
- Lineage-specific responses of microbial communities to environmental change.Applied and environmental microbiology · 2013Article
- Lake microbial communities are resilient after a whole-ecosystem disturbance.The ISME journal · 2012Article
- Our microbial selves: what ecology can teach us.EMBO reports · 2011Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Yuan Yang Lake (YYL), Taiwan, experiences both winter and typhoon-initiated mixing, and each type of mixing event is characterized by contrasting environmental conditions. Previous work suggested that after typhoon mixing, bacterial communities in YYL reset to a pioneer composition and then follow a predictable trajectory of change until the next typhoon. Our goal was to continue this investigation by observing bacterial community change after a range of mixing intensities, including seasonal winter mixing. We fingerprinted aquatic bacterial communities in the epilimnion and hypolimnion using automated ribosomal intergenic spacer analysis and then assessed community response using multivariate statistics. We found a significant linear relationship between water column stability and the epilimnion to hypolimnion divergences. In comparison to the summer, we found the winter community had a distinct composition and less variation. We divided the bacterial community into population subsets according to abundance (rare, common, or dominant) and occurrence (transient or persistent) and further explored the contribution of these subsets to the overall community patterns. We found that transient taxa did not drive bacterial community patterns following weak typhoon mixing events, but contributed substantially to patterns observed following strong events. Common taxa generally did not follow the community trajectory after weak or strong events. Our results suggest intensity, frequency, and seasonality jointly contribute to aquatic bacterial response to mixing disturbance.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.