Evidence map›Paper›PMID 33671814›Full record

ArticleGenes2021

Quantitative Approach to Fish Cytogenetics in the Context of Vertebrate Genome Evolution.

Veronika Borůvková, W Mike Howell, Dominik Matoulek, Radka Symonová

Abstract read
In one paragraph

Article in Genes, 2021. 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

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

7 citing papers in PubMed.

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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

4 authors.

Veronika BorůvkováFaculty of Science, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic.
W Mike HowellDepartment of Biological and Environmental Sciences, Samford University, Birmingham, AL 35226, USA.
Dominik MatoulekFaculty of Science, University of Hradec Kralove, 500 03 Hradec Kralove, Czech Republic.
Radka SymonováDepartment of Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, 85354 Freising, Germany.ORCID 0000-0002-2270-6018

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our novel Python-based tool EVANGELIST allows the visualization of GC and repeats percentages along chromosomes in sequenced genomes and has enabled us to perform quantitative large-scale analyses on the chromosome level in fish and other vertebrates. This is a different approach from the prevailing analyses, i.e., analyses of GC% in the coding sequences that make up not more than 2% in human. We identified GC content (GC%) elevations in microchromosomes in ancient fish lineages similar to avian microchromosomes and a large variability in the relationship between the chromosome size and their GC% across fish lineages. This raises the question as to what extent does the chromosome size drive GC% as posited by the currently accepted explanation based on the recombination rate. We ascribe the differences found across fishes to varying GC% of repetitive sequences. Generally, our results suggest that the GC% of repeats and proportion of repeats are independent of the chromosome size. This leaves an open space for another mechanism driving the GC evolution in vertebrates.

Indexed as

CytogeneticsEvolution, MolecularAnimalsBase CompositionBirdsChromosomesFishesGenomeRecombination, GeneticRepetitive Sequences, Nucleic AcidVertebrateschromosome sizeGC-biased gene conversionGC contentlinkage groupmicrochromosomes

Identifiers

PMID33671814
PMCPMC7926999

What OpenQuestion holds

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Registered trials

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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.