Evidence map›Paper›PMID 31059557›Full record

ArticlePloS one2019

Evolution of organellar genes of chlorophyte algae: Relevance to phylogenetic inference.

Nuttapong Mekvipad, Anchittha Satjarak

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Plastid Genome ofPlants (Basel, Switzerland) · 2022
    Article
  2. Article
  3. OGDA: a comprehensive organelle genome database for algae.Database : the journal of biological databases and curation · 2020
    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 1 institution in 1 country.

Nuttapong MekvipadDepartment of Botany, Chulalongkorn University, Bangkok, Thailand.
Anchittha SatjarakDepartment of Botany, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0003-3844-6924
Chulalongkorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-coding genes in organellar genomes have been widely used to resolve relationships of chlorophyte algae. The mode of evolution of these protein-coding genes affects relationship estimations, yet selection effects on genes commonly used as markers in phylogenetic analyses are insufficiently well understood. To gain more understanding about the effects of green algal organelle protein-coding genes on phylogenies, more information is needed about the mode of gene evolution. We used phylogenetic frameworks to examine evolutionary relationships of 58 protein-coding genes present in the organellar genomes of chlorophyte and streptophyte algae at multiple levels: organelle, biological function, and individual gene, and calculated pairwise dN/dS ratios of algal organellar protein-coding genes to investigate mode of evolution. Results indicate that mitochondrial genes have evolved at a higher rate than have chloroplast genes. Low dN/dS ratios indicating relatively high level of conservation indicate that nad2, nad5, atpA, atpE, psbC, and psbD might be particularly good candidates for use as markers in chlorophyte phylogenies. Chlorophycean atp6, nad2, atpF, clpP, rps2, rps3, rps4, and rps7 protein-coding sequences exhibited selective mutations, suggesting that changes in proteins encoded by these genes might have increased fitness in Chlorophyceae.

Indexed as

Evolution, MolecularPhylogenyChlorophytaGenome, MitochondrialGenome, PlantMitochondrial ProteinsOrganellesPlant ProteinsMitochondrial ProteinsPlant Proteins

Identifiers

PMID31059557
PMCPMC6502327
OpenAlexW2942583851

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.