Evidence map›Paper›PMID 28855561›Full record

ArticleScientific reports2017

Diversification dynamics of rhynchostomatian ciliates: the impact of seven intrinsic traits on speciation and extinction in a microbial group.

Peter Vďačný, Ľubomír Rajter, Shahed Uddin Ahmed Shazib, Seok Won Jang, Mann Kyoon Shin

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

5 authors.

Peter VďačnýDepartment of Zoology, Comenius University in Bratislava, Bratislava, 84215, Slovak Republic. peter.vdacny@uniba.sk.
Ľubomír RajterDepartment of Zoology, Comenius University in Bratislava, Bratislava, 84215, Slovak Republic.
Shahed Uddin Ahmed ShazibDepartment of Biological Sciences, University of Ulsan, Ulsan, 44610, Korea.
Seok Won JangDepartment of Biological Sciences, University of Ulsan, Ulsan, 44610, Korea.
Mann Kyoon ShinDepartment of Biological Sciences, University of Ulsan, Ulsan, 44610, Korea. mkshin@ulsan.ac.kr.ORCID 0000-0001-6592-1204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ciliates are a suitable microbial model to investigate trait-dependent diversification because of their comparatively complex morphology and high diversity. We examined the impact of seven intrinsic traits on speciation, extinction, and net-diversification of rhynchostomatians, a group of comparatively large, predatory ciliates with proboscis carrying a dorsal brush (sensoric structure) and toxicysts (organelles used to kill the prey). Bayesian estimates under the binary-state speciation and extinction model indicate that two types of extrusomes and two-rowed dorsal brush raise diversification through decreasing extinction. On the other hand, the higher number of contractile vacuoles and their dorsal location likely increase diversification via elevating speciation rate. Particular nuclear characteristics, however, do not significantly differ in their diversification rates and hence lineages with various macronuclear patterns and number of micronuclei have similar probabilities to generate new species. Likelihood-based quantitative state diversification analyses suggest that rhynchostomatians conform to Cope's rule in that their diversity linearly grows with increasing body length and relative length of the proboscis. Comparison with other litostomatean ciliates indicates that rhynchostomatians are not among the cladogenically most successful lineages and their survival over several hundred million years could be associated with their comparatively large and complex bodies that reduce the risk of extinction.

Indexed as

Bayes TheoremBiodiversityCiliophoraComputer SimulationExtinction, BiologicalGenetic SpeciationLikelihood FunctionsPhenotypePhylogeny

Identifiers

PMID28855561
PMCPMC5577237

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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.