Evidence map›Paper›PMID 26635757›Full record

ArticleFrontiers in microbiology2015

Network of Interactions Between Ciliates and Phytoplankton During Spring.

Thomas Posch, Bettina Eugster, Francesco Pomati, Jakob Pernthaler, Gianna Pitsch, Ester M Eckert

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 99 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Thomas PoschLimnological Station, Institute of Plant Biology and Microbiology, University of Zurich Kilchberg, Switzerland.
Bettina EugsterLimnological Station, Institute of Plant Biology and Microbiology, University of Zurich Kilchberg, Switzerland.
Francesco PomatiDepartment Aquatic Ecology, Swiss Federal Institute of Aquatic Science and Technology Dübendorf, Switzerland.
Jakob PernthalerLimnological Station, Institute of Plant Biology and Microbiology, University of Zurich Kilchberg, Switzerland.
Gianna PitschLimnological Station, Institute of Plant Biology and Microbiology, University of Zurich Kilchberg, Switzerland.
Ester M EckertLimnological Station, Institute of Plant Biology and Microbiology, University of Zurich Kilchberg, Switzerland ; Microbial Ecology Group, Consiglio Nazionale Delle Ricerche- Istituto per lo studio degli ecosistemi Verbania Pallanza, Italy.
University of Zurich · CHSanatorium Kilchberg · CHSwiss Federal Institute of Aquatic Science and Technology · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The annually recurrent spring phytoplankton blooms in freshwater lakes initiate pronounced successions of planktonic ciliate species. Although there is considerable knowledge on the taxonomic diversity of these ciliates, their species-specific interactions with other microorganisms are still not well understood. Here we present the succession patterns of 20 morphotypes of ciliates during spring in Lake Zurich, Switzerland, and we relate their abundances to phytoplankton genera, flagellates, heterotrophic bacteria, and abiotic parameters. Interspecific relationships were analyzed by contemporaneous correlations and time-lagged co-occurrence and visualized as association networks. The contemporaneous network pointed to the pivotal role of distinct ciliate species (e.g., Balanion planctonicum, Rimostrombidium humile) as primary consumers of cryptomonads, revealed a clear overclustering of mixotrophic/omnivorous species, and highlighted the role of Halteria/Pelagohalteria as important bacterivores. By contrast, time-lagged statistical approaches (like local similarity analyses, LSA) proved to be inadequate for the evaluation of high-frequency sampling data. LSA led to a conspicuous inflation of significant associations, making it difficult to establish ecologically plausible interactions between ciliates and other microorganisms. Nevertheless, if adequate statistical procedures are selected, association networks can be powerful tools to formulate testable hypotheses about the autecology of only recently described ciliate species.

Indexed as

ciliate morphotypesciliophoralocal similarity analysisnetwork analysisphytoplankton spring bloom

Identifiers

PMID26635757
PMCPMC4653745
OpenAlexW2181194274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.