Evidence map›Paper›PMID 38003031›Full record

ArticleGenes2023

Interspecific Comparison of Orthologous Short Interspersed Elements Loci Using Whole-Genome Data.

Sergei Kosushkin, Vitaly Korchagin, Andrey Vergun, Alexey Ryskov

Abstract read
In one paragraph

Article in Genes, 2023. 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
–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

1 citing paper in PubMed.

  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

4 authors.

Sergei KosushkinLaboratory of Genome Organization, Institute of Gene Biology of the Russian Academy of Sciences, Vavilova Str., 34/5, Moscow 119334, Russia.ORCID 0000-0001-7629-0153
Vitaly KorchaginLaboratory of Genome Organization, Institute of Gene Biology of the Russian Academy of Sciences, Vavilova Str., 34/5, Moscow 119334, Russia.ORCID 0000-0003-2264-6294
Andrey VergunLaboratory of Genome Organization, Institute of Gene Biology of the Russian Academy of Sciences, Vavilova Str., 34/5, Moscow 119334, Russia.ORCID 0000-0001-5255-7802
Alexey RyskovLaboratory of Genome Organization, Institute of Gene Biology of the Russian Academy of Sciences, Vavilova Str., 34/5, Moscow 119334, Russia.ORCID 0000-0002-4159-0671

Funding

Russian Science Foundation 19-14-00083
6 · The paper itself

Abstract

The polymorphism of SINE-containing loci reflects the evolutionary processes that occurred both during the period before the divergence of the taxa and after it. Orthologous loci containing SINE in two or more genomes indicate the relatedness of the taxa, while different copies may have a specific set of mutations and degree of difference. Polymorphic insertion can be interpreted with a high degree of confidence as a shared derived character in the phylogenetic reconstruction of the history of the taxon. The computational comparison of the entire set of SINE-containing loci between genomes is a challenging task, and we propose to consider it in detail using the genomes of representatives of squamate reptiles (lizards) as an example. Our approach allows us to extract copies of SINE from the genomes, find pairwise orthologous loci by using flanking genomic sequences, and analyze the resulting sets of loci for the presence or absence of SINE, the degree of similarity of the flanks, and the similarity of the SINE themselves. The workflow we propose allows us to efficiently extract and analyze orthologous SINE loci for the downstream analysis, as shown in our comparison of species- and genus-level taxa in lacertid lizards.

Indexed as

Evolution, MolecularLizardsAnimalsGenomePhylogenyShort Interspersed Nucleotide Elementscomparative genomicsevolutionorthologous locipolymorphismreptilesSINE

Identifiers

PMID38003031
PMCPMC10670947

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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.