Evidence map›Paper›PMID 26133641›Full record

ArticleGenome biology and evolution2015

Reptilian Transcriptomes v2.0: An Extensive Resource for Sauropsida Genomics and Transcriptomics.

Athanasia C Tzika, Asier Ullate-Agote, Djordje Grbic, Michel C Milinkovitch

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. A comprehensive embryonic staging series of the turtle Trachemys scripta.Developmental dynamics : an official publication of the American Association of Anatomists · 2026
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  4. Genome mapping of aProceedings of the National Academy of Sciences of the United States of America · 2020
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  13. Convergent origination of aGenome research · 2017
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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 at 2 institutions in 1 country.

Athanasia C TzikaLaboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland athanasia.tzika@unige.ch michel.milinkovitch@unige.ch.
Asier Ullate-AgoteLaboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland.
Djordje GrbicLaboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland.
Michel C MilinkovitchLaboratory of Artificial & Natural Evolution (LANE), Department of Genetics & Evolution, University of Geneva, Switzerland SIB Swiss Institute of Bioinformatics, Switzerland Institute of Genetics and Genomics of Geneva (iGE3), University of Geneva, Switzerland athanasia.tzika@unige.ch michel.milinkovitch@unige.ch.
SIB Swiss Institute of Bioinformatics · CHUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the availability of deep-sequencing techniques, genomic and transcriptomic data remain unevenly distributed across phylogenetic groups. For example, reptiles are poorly represented in sequence databases, hindering functional evolutionary and developmental studies in these lineages substantially more diverse than mammals. In addition, different studies use different assembly and annotation protocols, inhibiting meaningful comparisons. Here, we present the "Reptilian Transcriptomes Database 2.0," which provides extensive annotation of transcriptomes and genomes from species covering the major reptilian lineages. To this end, we sequenced normalized complementary DNA libraries of multiple adult tissues and various embryonic stages of the leopard gecko and the corn snake and gathered published reptilian sequence data sets from representatives of the four extant orders of reptiles: Squamata (snakes and lizards), the tuatara, crocodiles, and turtles. The LANE runner 2.0 software was implemented to annotate all assemblies within a single integrated pipeline. We show that this approach increases the annotation completeness of the assembled transcriptomes/genomes. We then built large concatenated protein alignments of single-copy genes and inferred phylogenetic trees that support the positions of turtles and the tuatara as sister groups of Archosauria and Squamata, respectively. The Reptilian Transcriptomes Database 2.0 resource will be updated to include selected new data sets as they become available, thus making it a reference for differential expression studies, comparative genomics and transcriptomics, linkage mapping, molecular ecology, and phylogenomic analyses involving reptiles. The database is available at www.reptilian-transcriptomes.org and can be enquired using a wwwblast server installed at the University of Geneva.

Indexed as

Databases, GeneticGene Expression ProfilingGenomicsAlligators and CrocodilesAnimalsBase SequenceConsensus SequenceGenomeLizardsMolecular Sequence AnnotationPhylogenyReptilesSnakesArchosauriadeep sequencingreptilessquamatestranscriptomesturtles

Identifiers

PMID26133641
PMCPMC4494049
OpenAlexW2099652264

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.