Evidence map›Paper›PMID 25118601›Full record

ArticlePloS one2014

A comprehensive reference transcriptome resource for the common house spider Parasteatoda tepidariorum.

Nico Posnien, Victor Zeng, Evelyn E Schwager, Matthias Pechmann, Maarten Hilbrant, Joseph D Keefe, Wim G M Damen, Nikola-Michael Prpic, Alistair P McGregor, Cassandra G Extavour

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 69 citations in OpenAlex.

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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

10 authors at 5 institutions in 3 countries.

Nico PosnienJohann-Friedrich-Blumenbach-Institute for Zoology and Anthropology, Department of Developmental Biology, Georg-August-University Göttingen, GZMB Ernst-Caspari-Haus, Göttingen, Germany.
Victor ZengDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Evelyn E SchwagerDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America; Department of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.
Matthias PechmannCologne Biocenter, Institute of Developmental Biology, University of Cologne, Cologne, Germany.
Maarten HilbrantDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.
Joseph D KeefeDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.
Wim G M DamenDepartment of Genetics, Friedrich Schiller University Jena, Jena, Germany.
Nikola-Michael PrpicJohann-Friedrich-Blumenbach-Institute for Zoology and Anthropology, Department of Developmental Biology, Georg-August-University Göttingen, GZMB Ernst-Caspari-Haus, Göttingen, Germany.
Alistair P McGregorDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford, United Kingdom.
Cassandra G ExtavourDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
Harvard University · USOxford Brookes University · GBUniversity of Göttingen · DEFriedrich Schiller University Jena · DEUniversity of Cologne · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parasteatoda tepidariorum is an increasingly popular model for the study of spider development and the evolution of development more broadly. However, fully understanding the regulation and evolution of P. tepidariorum development in comparison to other animals requires a genomic perspective. Although research on P. tepidariorum has provided major new insights, gene analysis to date has been limited to candidate gene approaches. Furthermore, the few available EST collections are based on embryonic transcripts, which have not been systematically annotated and are unlikely to contain transcripts specific to post-embryonic stages of development. We therefore generated cDNA from pooled embryos representing all described embryonic stages, as well as post-embryonic stages including nymphs, larvae and adults, and using Illumina HiSeq technology obtained a total of 625,076,514 100-bp paired end reads. We combined these data with 24,360 ESTs available in GenBank, and 1,040,006 reads newly generated from 454 pyrosequencing of a mixed-stage embryo cDNA library. The combined sequence data were assembled using a custom de novo assembly strategy designed to optimize assembly product length, number of predicted transcripts, and proportion of raw reads incorporated into the assembly. The de novo assembly generated 446,427 contigs with an N50 of 1,875 bp. These sequences obtained 62,799 unique BLAST hits against the NCBI non-redundant protein data base, including putative orthologs to 8,917 Drosophila melanogaster genes based on best reciprocal BLAST hit identity compared with the D. melanogaster proteome. Finally, we explored the utility of the transcriptome for RNA-Seq studies, and showed that this resource can be used as a mapping scaffold to detect differential gene expression in different cDNA libraries. This resource will therefore provide a platform for future genomic, gene expression and functional approaches using P. tepidariorum.

Indexed as

AnimalsBase CompositionBase SequenceComputational BiologyExpressed Sequence TagsGene Expression ProfilingGene Expression Regulation, DevelopmentalGene LibraryLife Cycle StagesMolecular Sequence AnnotationMolecular Sequence DataSequence Analysis, DNASignal TransductionSpecies SpecificitySpidersTranscriptome

Identifiers

PMID25118601
PMCPMC4132015
OpenAlexW2141954810

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.