Evidence map›Paper›PMID 20024538›Full record

ArticleJournal of molecular evolution2010

Evolutionary rates in Veronica L. (Plantaginaceae): disentangling the influence of life history and breeding system.

Kai Müller, Dirk C Albach

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular evolution, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
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

11 citing papers in PubMed, 38 citations in OpenAlex.

  1. Insights into phylogenetic relationships ofFrontiers in plant science · 2026
    Article
  2. Article
  3. Article
  4. Taxonomic Significance of Seed Morphology inPlants (Basel, Switzerland) · 2021
    Article
  5. Characterization of the complete plastid genome of ofMitochondrial DNA. Part B, Resources · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

2 authors at 2 institutions in 1 country.

Kai MüllerInstitute for Evolution and Biodiversity, Westfälische Wilhelms-Universität, Hüfferstrasse 1, 48149 Münster, Germany. kaimueller@uni-muenster.de
Dirk C Albach
Carl von Ossietzky Universität Oldenburg · DEUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary rate at which DNA sequences evolve is known to differ between different groups of organisms. However, the reasons for these different rates are seldom known. Among plants, the generation-time hypothesis, which states that organisms that reproduce faster also have more DNA substitutions per time, has gained most popularity. We evaluate the generation-time hypothesis using 131 DNA sequences from the plastid trnLF region and the nuclear ribosomal ITS region of the genus Veronica (Plantaginaceae). We also examine the alternative hypothesis that a higher substitution rate is correlated with selfing breeding system. Selfing is associated with annual life history in many organisms and may thus often be the underlying reason for observed correlations of annual life history with other characters. We provide evidence that annual life history is more likely to be the responsible factor for higher substitution rates in Veronica than a selfing breeding system. Nevertheless, the way in which annual life history may influence substitution rate in detail remains unknown, and some possibilities are discussed.

Indexed as

Evolution, MolecularDNA, Ribosomal SpacerLikelihood FunctionsPhylogenyReproductionVeronicaDNA, Ribosomal Spacer

Identifiers

PMID20024538
OpenAlexW1968132738

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.