ArticleMicrobial ecology2019
Co-occurrence Networks Among Bacteria and Microbial Eukaryotes of Lake Baikal During a Spring Phytoplankton Bloom.
Article in Microbial ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 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.
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Who cites it
41 citing papers in PubMed.
- Location and habitat specificity structure benthic microbial assemblages in a temperate seagrass ecosystem.mSphere · 2026Article
- Complete genome of marine flavobacteriumMicrobiology resource announcements · 2026Article
- Evidences That Host Genetic Background More Than the Environment Shapes the Microbiota of the Snail Bulinus truncatus, an Intermediate Host of Schistosoma Species.Molecular ecology · 2026Article
- Environmental gradients and habitat specificity structure benthic microbial assemblages in a temperate seagrass ecosystem.bioRxiv : the preprint server for biology · 2026Article
- Interactions between phytoplankton and bacterioplankton communities in Caohai plateau lake, revealed by environmental DNA metagenomics.BMC microbiology · 2026Article
- Genomic Insights into the Bactericidal and Fungicidal Potential ofMicroorganisms · 2024Article
- The Co-occurrence Matrix and the Correlation Network of Phytophagous Insects Are Driven by Abiotic and Biotic Variables: the Case of Canola.Neotropical entomology · 2024Article
- Review
- Bacterial and fungal community structures in Hulun Lake are regulated by both stochastic processes and environmental factors.Microbiology spectrum · 2024Article
- Combined Earth observations reveal the sequence of conditions leading to a large algal bloom in Lake Geneva.Communications earth & environment · 2024Article
- The Impact of Warming on Assembly Processes and Diversity Patterns of Bacterial Communities in Mesocosms.Microorganisms · 2023Article
- The GenusPlants (Basel, Switzerland) · 2023Article
- Review
- Different Responses of Bacteria and Microeukaryote to Assembly Processes and Co-occurrence Pattern in the Coastal Upwelling.Microbial ecology · 2023Article
- The effect of metabarcoding 18S rRNA region choice on diversity of microeukaryotes including phytoplankton.World journal of microbiology & biotechnology · 2023Article
- Local-Scale Damming Impact on the Planktonic Bacterial and Eukaryotic Assemblages in the upper Yangtze River.Microbial ecology · 2023Article
- Deciphering microeukaryotic-bacterial co-occurrence networks in coastal aquaculture ponds.Marine life science & technology · 2023Article
- The Viral Fraction Metatranscriptomes of Lake Baikal.Microorganisms · 2022Article
- Seasonal Succession and Coherence Among Bacteria and Microeukaryotes in Lake Baikal.Microbial ecology · 2022Article
- Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay.Microbiology spectrum · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
The pelagic zone of Lake Baikal is an ecological niche where phytoplankton bloom causes increasing microbial abundance in spring which plays a key role in carbon turnover in the freshwater lake. Co-occurrence patterns revealed among different microbes can be applied to predict interactions between the microbes and environmental conditions in the ecosystem. We used 454 pyrosequencing of 16S rRNA and 18S rRNA genes to study bacterial and microbial eukaryotic communities and their co-occurrence patterns at the pelagic zone of Lake Baikal during a spring phytoplankton bloom. We found that microbes within one domain mostly correlated positively with each other and are highly interconnected. The highly connected taxa in co-occurrence networks were operational taxonomic units (OTUs) of Actinobacteria, Bacteroidetes, Alphaproteobacteria, and autotrophic and unclassified Eukaryota which might be analogous to microbial keystone taxa. Constrained correspondence analysis revealed the relationships of bacterial and microbial eukaryotic communities with geographical location.
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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.