Evidence map›Paper›PMID 31653851›Full record

ArticleScientific data2019

Environmental transcriptomes of invasive dreissena, a model species in ecotoxicology and invasion biology.

Romain Péden, Pascal Poupin, Bénédicte Sohm, Justine Flayac, Laure Giambérini, Christophe Klopp, Fanny Louis, Sandrine Pain-Devin, Marine Potet, Rémy-Félix Serre and 1 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 13 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

11 authors at 2 institutions in 1 country.

Romain PédenUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.ORCID http://orcid.org/0000-0001-8763-2024
Pascal PoupinUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.
Bénédicte SohmUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.
Justine FlayacUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.
Laure GiambériniUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.
Christophe KloppPlate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, 31326, Castanet-Tolosan, France.ORCID http://orcid.org/0000-0001-7126-5477
Fanny LouisUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.
Sandrine Pain-DevinUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.
Marine PotetUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France.
Rémy-Félix SerreINRA, US 1426, GeT-PlaGe, Genotoul, INRA Auzeville, Castanet Tolosan, Cedex, France.
Simon DevinUniversité de Lorraine, CNRS, LIEC, F-57000, Metz, France. simon.devin@univ-lorraine.fr.
Centre National de la Recherche Scientifique · FRDépartement mathématiques, informatique, sciences de la donnée et technologies du numérique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dreissenids are established model species for ecological and ecotoxicological studies, since they are sessile and filter feeder organisms and reflect in situ freshwater quality. Despite this strong interest for hydrosystem biomonitoring, omics data are still scarce. In the present study, we achieved full de novo assembly transcriptomes of digestive glands to gain insight into Dreissena polymorpha and D. rostriformis bugensis molecular knowledge. Transcriptomes were obtained by Illumina RNA sequencing of seventy-nine organisms issued from fifteen populations inhabiting sites that exhibits multiple freshwater contamination levels and different hydrosystem topographies (open or closed systems). Based on a recent de novo assembly algorithm, we carried out a complete, quality-checked and annotated transcriptomes. The power of the present study lies in the completeness of transcriptomes gathering multipopulational organisms sequencing and its full availability through an open access interface that gives a friendly and ready-to-use access to data. The use of such data for proteogenomic and targeted biological pathway investigations purpose is promising as they are first full transcriptomes for this two Dreissena species.

Indexed as

TranscriptomeAnimalsDreissenaEnvironmental MonitoringFresh WaterRNA-Seq

Identifiers

PMID31653851
PMCPMC6814772
OpenAlexW2981480910

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.