Evidence map›Paper›PMID 27148960›Full record

ArticlePloS one2016

Characterizing Floral Symmetry in the Core Goodeniaceae with Geometric Morphometrics.

Andrew G Gardner, Jonathan N Fitz Gerald, John Menz, Kelly A Shepherd, Dianella G Howarth, Rachel S Jabaily

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Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Binary-Based Matrix Model forFrontiers in plant science · 2020
    Article
  5. Article
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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

6 authors.

Andrew G GardnerDepartment of Biology, Rhodes College, 2000 N. Parkway, Memphis, Tennessee, United States of America.
Jonathan N Fitz GeraldDepartment of Biology, Rhodes College, 2000 N. Parkway, Memphis, Tennessee, United States of America.
John MenzDepartment of Biology, Rhodes College, 2000 N. Parkway, Memphis, Tennessee, United States of America.
Kelly A ShepherdScience and Conservation Division, Department of Parks and Wildlife, Kensington, Western Australia, Australia.
Dianella G HowarthDepartment of Biological Sciences, St. John's University, Queens, New York, United States of America.
Rachel S JabailyDepartment of Biology, Rhodes College, 2000 N. Parkway, Memphis, Tennessee, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Core Goodeniaceae is a clade of ~330 species primarily distributed in Australia. Considerable variation in flower morphology exists within this group and we aim to use geometric morphometrics to characterize this variation across the two major subclades: Scaevola sensu lato (s.l.) and Goodenia s.l., the latter of which was hypothesized to exhibit greater variability in floral symmetry form. We test the hypothesis that floral morphological variation can be adequately characterized by our morphometric approach, and that discrete groups of floral symmetry morphologies exist, which broadly correlate with subjectively determined groups. From 335 images of 44 species in the Core Goodeniaceae, two principal components were computed that describe >98% of variation in all datasets. Increasing values of PC1 ventralize the dorsal petals (increasing the angle between them), whereas increasing values of PC2 primarily ventralize the lateral petals (decreasing the angle between them). Manipulation of these two morphological "axes" alone was sufficient to recreate any of the general floral symmetry patterns in the Core Goodeniaceae. Goodenia s.l. exhibits greater variance than Scaevola s.l. in PC1 and PC2, and has a significantly lower mean value for PC1. Clustering clearly separates fan-flowers (with dorsal petals at least 120° separated) from the others, whereas the distinction between pseudo-radial and bilabiate clusters is less clear and may form a continuum rather than two distinct groups. Transitioning from the average fan-flower to the average non-fan-flower is described almost exclusively by PC1, whereas PC2 partially describes the transition between bilabiate and pseudo-radial morphologies. Our geometric morphometric method accurately models Core Goodeniaceae floral symmetry diversity.

Indexed as

FlowersMagnoliopsida

Identifiers

PMID27148960
PMCPMC4858217

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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.