Evidence map›Paper›PMID 27604881›Full record

ReviewGenome biology and evolution2016

The Genome as an Evolutionary Timepiece.

Simon Y W Ho, Amanda X Y Chen, Luana S F Lins, David A Duchêne, Nathan Lo

Abstract readReview
In one paragraph

Review in Genome biology and evolution, 2016. 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

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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Late Mitochondrial Origin Is an Artifact.Genome biology and evolution · 2017
    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

5 authors.

Simon Y W HoSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia simon.ho@sydney.edu.au.
Amanda X Y ChenSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.
Luana S F LinsSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.
David A DuchêneSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.
Nathan LoSchool of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular clock is a valuable and widely used tool for estimating evolutionary rates and timescales in biological research. There has been considerable progress in the theory and practice of molecular clocks over the past five decades. Although the idea of a molecular clock was originally put forward in the context of protein evolution and advanced using various biochemical techniques, it is now primarily applied to analyses of DNA sequences. An interesting but very underappreciated aspect of molecular clocks is that they can be based on genetic data other than DNA or protein sequences. For example, evolutionary timescales can be estimated using microsatellites, protein folds, and even the extent of recombination. These genome features hold great potential for molecular dating, particularly in cases where nucleotide sequences might be uninformative or unreliable. Here we present an outline of the different genetic data types that have been used for molecular dating, and we describe the features that good molecular clocks should possess. We hope that our article inspires further work on the genome as an evolutionary timepiece.

Indexed as

Evolution, MolecularGenomeAnimalsBiological ClocksHumansevolutionary rategenomic datamolecular clockmolecular datingphylogenetic analysis

Identifiers

PMID27604881
PMCPMC5630892

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.