Evidence map›Paper›PMID 36761844›Full record

ArticleZooKeys2022

A comparison of gene organisations and phylogenetic relationships of all 22 squamate species listed in South Korea using complete mitochondrial DNA.

Daesik Park, Il-Hun Kim, Il-Kook Park, Alejandro Grajal-Puche, Jaejin Park

Open access · goldAbstract read
In one paragraph

Article in ZooKeys, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 3 institutions in 2 countries.

Daesik ParkKangwon National University, Chuncheon, Republic of Korea Kangwon National University Chuncheon Republic of Korea.ORCID https://orcid.org/0000-0001-9209-0493
Il-Hun KimNational Marine Biodiversity Institute of Korea, Seochun, Republic of Korea National Marine Biodiversity Institute of Korea Seochun Republic of Korea.ORCID https://orcid.org/0000-0003-0022-8219
Il-Kook ParkKangwon National University, Chuncheon, Republic of Korea Kangwon National University Chuncheon Republic of Korea.ORCID https://orcid.org/0000-0002-2274-4639
Alejandro Grajal-PucheNorthern Arizona University, Flagstaff, Arizona, USA Northern Arizona University Flagstaff United States of America.ORCID https://orcid.org/0000-0003-1807-4799
Jaejin ParkKangwon National University, Chuncheon, Republic of Korea Kangwon National University Chuncheon Republic of Korea.ORCID https://orcid.org/0000-0001-8794-5776
Kangwon National University · KRMarine Biodiversity Institute of Korea · KRNorthern Arizona University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies using complete mitochondrial genome data have the potential to increase our understanding on gene organisations and evolutionary species relationships. In this study, we compared complete mitochondrial genomes between all 22 squamate species listed in South Korea. In addition, we constructed Maximum Parsimony (MP), Maximum Likelihood (ML) and Bayesian Inference (BI) phylogenetic trees using 13 mitochondrial protein-coding genes. The mitochondrial genes for all six species in the suborder Sauria followed the same organisation as the sequenced Testudines (turtle) outgroup. In contrast, 16 snake species in the suborder Serpentes contained some gene organisational variations. For example, all snake species contained a second control region (

Indexed as

Full mitochondrial genomeKoreaphylogenyrearrangementSquamatatRNA-ProWANCY

Identifiers

PMID36761844
PMCPMC9836557
OpenAlexW4308839841

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.