Evidence map›Paper›PMID 33219271›Full record

ArticleScientific reports2020

Morphology, ultrastructure, genomics, and phylogeny of Euplotes vanleeuwenhoeki sp. nov. and its ultra-reduced endosymbiont "Candidatus Pinguicoccus supinus" sp. nov.

Valentina Serra, Leandro Gammuto, Venkatamahesh Nitla, Michele Castelli, Olivia Lanzoni, Davide Sassera, Claudio Bandi, Bhagavatula Venkata Sandeep, Franco Verni, Letizia Modeo and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. iScience · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Symbionts of Ciliates and Ciliates as Symbionts.Indian journal of microbiology · 2024
    Review
  12. Article
  13. Comparative genomic analysis of symbiotic and free-livingApplied and environmental microbiology · 2024
    Article
  14. Article
  15. Ultrastructure ofMarine life science & technology · 2022
    Article
  16. Review
  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

11 authors.

Valentina SerraDepartment of Biology, University of Pisa, Via Volta 4/6, 56126, Pisa, Italy.
Leandro GammutoDepartment of Biology, University of Pisa, Via Volta 4/6, 56126, Pisa, Italy.
Venkatamahesh NitlaDepartment of Biology, University of Pisa, Via Volta 4/6, 56126, Pisa, Italy.
Michele CastelliDepartment of Biosciences, Romeo and Enrica Invernizzi Pediatric Research Center, University of Milan, Milan, Italy.
Olivia LanzoniDepartment of Biology, University of Pisa, Via Volta 4/6, 56126, Pisa, Italy.
Davide SasseraDepartment of Biology and Biotechnology "Lazzaro Spallanzani", Pavia University, Pavia, Italy.
Claudio BandiDepartment of Biosciences, Romeo and Enrica Invernizzi Pediatric Research Center, University of Milan, Milan, Italy.
Bhagavatula Venkata SandeepDepartment of Biotechnology, Andhra University, Visakhapatnam, India.
Franco VerniDepartment of Biology, University of Pisa, Via Volta 4/6, 56126, Pisa, Italy.
Letizia ModeoDepartment of Biology, University of Pisa, Via Volta 4/6, 56126, Pisa, Italy. letizia.modeo@unipi.it.
Giulio PetroniDepartment of Biology, University of Pisa, Via Volta 4/6, 56126, Pisa, Italy. giulio.petroni@unipi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Taxonomy is the science of defining and naming groups of biological organisms based on shared characteristics and, more recently, on evolutionary relationships. With the birth of novel genomics/bioinformatics techniques and the increasing interest in microbiome studies, a further advance of taxonomic discipline appears not only possible but highly desirable. The present work proposes a new approach to modern taxonomy, consisting in the inclusion of novel descriptors in the organism characterization: (1) the presence of associated microorganisms (e.g.: symbionts, microbiome), (2) the mitochondrial genome of the host, (3) the symbiont genome. This approach aims to provide a deeper comprehension of the evolutionary/ecological dimensions of organisms since their very first description. Particularly interesting, are those complexes formed by the host plus associated microorganisms, that in the present study we refer to as "holobionts". We illustrate this approach through the description of the ciliate Euplotes vanleeuwenhoeki sp. nov. and its bacterial endosymbiont "Candidatus Pinguicoccus supinus" gen. nov., sp. nov. The endosymbiont possesses an extremely reduced genome (~ 163 kbp); intriguingly, this suggests a high integration between host and symbiont.

Indexed as

Terminology as TopicComputational BiologyDNA, BacterialEuplotesGenome, BacterialGenome, MitochondrialMicroscopy, Electron, ScanningMicroscopy, Electron, TransmissionPhylogenySymbiosisVerrucomicrobiaDNA, Bacterial

Identifiers

PMID33219271
PMCPMC7679464

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Registered trials

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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.