Evidence map›Paper›PMID 32912146›Full record

ArticleBMC evolutionary biology2020

Species delimitation in the cyanolichen genus Rostania.

Alica Košuthová, Johannes Bergsten, Martin Westberg, Mats Wedin

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Alica KošuthováDepartment of Botany, Swedish Museum of Natural History, P.O. Box 50007, SE-104 05, Stockholm, Sweden. kosuthova.alica@gmail.com.ORCID 0000-0001-5991-7444
Johannes BergstenDepartment of Zoology, Swedish Museum of Natural History, P.O. Box 50007, SE-104 05, Stockholm, Sweden.
Martin WestbergMuseum of Evolution, Uppsala University, Norbyvägen 16, SE-752 36, Uppsala, Sweden.
Mats WedinDepartment of Botany, Swedish Museum of Natural History, P.O. Box 50007, SE-104 05, Stockholm, Sweden.

Funding

Swedish Taxonomy Initiative (Svenska Artprojektet) administered by the Swedish Species Information center (ArtDatabanken) 2016-207 4.3Swedish Taxonomy Initiative (Svenska Artprojektet) administered by the Swedish Species Information center (ArtDatabanken) SLU.dha.2019.4.3-48Vetenskapsrådet 2016-03589
6 · The paper itself

Abstract

backgroundIn this study, we investigate species limits in the cyanobacterial lichen genus Rostania (Collemataceae, Peltigerales, Lecanoromycetes). Four molecular markers (mtSSU rDNA, β-tubulin, MCM7, RPB2) were sequenced and analysed with two coalescent-based species delimitation methods: the Generalized Mixed Yule Coalescent model (GMYC) and a Bayesian species delimitation method (BPP) using a multispecies coalescence model (MSC), the latter with or without an a priori defined guide tree.

resultsSpecies delimitation analyses indicate the presence of eight strongly supported candidate species. Conclusive correlation between morphological/ecological characters and genetic delimitation could be found for six of these. Of the two additional candidate species, one is represented by a single sterile specimen and the other currently lacks morphological or ecological supporting evidence.

conclusionsWe conclude that Rostania includes a minimum of six species: R. ceranisca, R. multipunctata, R. occultata 1, R. occultata 2, R. occultata 3, and R. occultata 4,5,6. Three distinct Nostoc morphotypes occur in Rostania, and there is substantial correlation between these morphotypes and Rostania thallus morphology.

Indexed as

Genetic SpeciationPhylogenyAscomycotaBayes TheoremDNA, RibosomalGenetic MarkersLichensModels, GeneticSpecies SpecificityDNA, RibosomalGenetic MarkersBiodiversityFungiIntegrative taxonomyLichensPhylogenySymbiosisSystematics

Identifiers

PMID32912146
PMCPMC7488055

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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.