Evidence map›Paper›PMID 41137956›Full record

ArticleGenes & genomics2026

Unravelling the thread of Podarcis omics; insights into the genome and transcriptome of the Cretan wall lizard.

Manos Stratakis, Panagiotis Ioannidis, Iliana Bista, Dominic Absolon, Will Eagles, Shane McCarthy, Amy Denton, Petros Lymberakis, Nikos Poulakakis

Abstract read
In one paragraph

Article in Genes & genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Manos StratakisDepartment of Biology, School of Sciences and Engineering, University of Crete, Heraklion, Greece. mastratakis@uoc.gr.ORCID 0000-0002-6291-9245
Panagiotis IoannidisInstitute of Computer Science (ICS), Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece.
Iliana BistaSenckenberg Research Institute and Natural History Museum, 60325, Frankfurt am Main, Germany.
Dominic AbsolonWellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Will EaglesWellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Shane McCarthyWellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Amy DentonWellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK.
Petros LymberakisNatural History Museum of Crete, School of Sciences and Engineering, University of Crete, Heraklion, Greece.
Nikos PoulakakisDepartment of Biology, School of Sciences and Engineering, University of Crete, Heraklion, Greece. poulakakis@uoc.gr.

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundWhole genome data are invaluable resources for both conservation and adaptation studies, especially for endemic species, providing insights into the evolution of genes involved in genomic adaptation across different environments.

objectiveWe compare the newly generated genomic and transcriptomic data of the Cretan endemic lizard species Podarcis cretensis to other Podarcis species to obtain an overview of gene family evolution and genome structure within the genus.

methodsComparative genomic and transcriptomic analyses were performed using the newly published genome of P. cretensis. A gene set was predicted using RNA-seq data from 36 samples, comprising three tissues (liver, brain, and muscle) from both male and female individuals across three distinct habitats.

resultsThe main findings revealed that P. cretensis and P. raffonei present the best genome assemblies and the most syntenic among the Podarcis species examined. Moreover, P. cretensis displayed the highest percentage of single-copy genes and the lowest percentage of duplicated genes. These duplicated genes are primarily associated with immune and sensory-related gene families, including chemokines, interleukins, immunoglobulin-like domain proteins, secreted proteins, and vomeronasal type-2 receptors.

conclusionsThis study deepens our understanding of chromosome structure, gene expression, and genome evolution in the Podarcis genus, representing the most extensive comparative analysis to date. The newly predicted gene set of the insular endemic species P. cretensis offers initial insights into gene expression related to adaptation across environments and tissues. Comparative genomic analyses further revealed gene families potentially involved in environmental adaptation.

Indexed as

GenomeLizardsTranscriptomeAnimalsEvolution, MolecularFemaleGenomicsMalePhylogenyComparative genomicsGene setPodarcis cretensisReference genomeSquamataTranscriptomics

Identifiers

PMID41137956
PMCPMC12860763

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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.