Evidence map›Paper›PMID 26414323›Full record

ArticlePloS one2015

A Molecular Phylogeny of the Lichen Genus Lecidella Focusing on Species from Mainland China.

Xin Zhao, Lu Lu Zhang, Zun Tian Zhao, Wei Cheng Wang, Steven D Leavitt, Helge Thorsten Lumbsch

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Taxonomic Revision ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
  5. MycoKeys · 2020
    Article
  6. Review
  7. Article
  8. 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.

Xin ZhaoCollege of Life Sciences, Shandong Normal University, Jinan, 250014, P. R. China.
Lu Lu ZhangCollege of Life Sciences, Shandong Normal University, Jinan, 250014, P. R. China.
Zun Tian ZhaoCollege of Life Sciences, Shandong Normal University, Jinan, 250014, P. R. China.
Wei Cheng WangCollege of Life Sciences, Shandong Normal University, Jinan, 250014, P. R. China.
Steven D LeavittScience & Education, The Field Museum, Chicago, Illinois, United States of America; Committee on Evolutionary Biology, University of Chicago, Chicago, Illinois, United States of America.
Helge Thorsten LumbschScience & Education, The Field Museum, Chicago, Illinois, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phylogeny of Lecidella species is studied, based on a 7-locus data set using ML and Bayesian analyses. Phylogenetic relationships among 43 individuals representing 11 Lecidella species, mainly from mainland China, were included in the analyses and phenotypical characters studied and mapped onto the phylogeny. The Lecidella species fall into three major clades, which are proposed here as three informal groups-Lecidella stigmatea group, L. elaeochroma group and L. enteroleucella group, each of them strongly supported. Our phylogenetic analyses support traditional species delimitation based on morphological and chemical traits in most but not all cases. Individuals considered as belonging to the same species based on phenotypic characters were found to be paraphyletic, indicating that cryptic species might be hidden under these names (e.g. L. carpathica and L. effugiens). Potentially undescribed species were found within the phenotypically circumscribed species L. elaeochroma and L. stigmatea. Additional sampling across a broader taxonomic and geographic scale will be crucial to fully resolving the taxonomy in this cosmopolitan genus.

Indexed as

PhylogenyBase SequenceChinaGenetic LociLichensLikelihood FunctionsSpecies Specificity

Identifiers

PMID26414323
PMCPMC4586381

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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.