Evidence map›Paper›PMID 28140388›Full record

ArticleScientific data2017

De novo transcriptome assemblies of four accessions of the metal hyperaccumulator plant Noccaea caerulescens.

Daniel Blande, Pauliina Halimaa, Arja I Tervahauta, Mark G M Aarts, Sirpa O Kärenlampi

Abstract readDataset
In one paragraph

Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  10. High QualityFrontiers in molecular biosciences · 2018
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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

5 authors.

Daniel BlandeUniversity of Eastern Finland, Department of Environmental and Biological Sciences, Kuopio 70210, Finland.
Pauliina HalimaaUniversity of Eastern Finland, Department of Environmental and Biological Sciences, Kuopio 70210, Finland.
Arja I TervahautaUniversity of Eastern Finland, Department of Environmental and Biological Sciences, Kuopio 70210, Finland.
Mark G M AartsWageningen University, Laboratory of Genetics, Wageningen 6708 PB, The Netherlands.
Sirpa O KärenlampiUniversity of Eastern Finland, Department of Environmental and Biological Sciences, Kuopio 70210, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noccaea caerulescens of the Brassicaceae family has become the key model plant among the metal hyperaccumulator plants. Populations/accessions of N. caerulescens from geographic locations with different soil metal concentrations differ in their ability to hyperaccumulate and hypertolerate metals. Comparison of transcriptomes in several accessions provides candidates for detailed exploration of the mechanisms of metal accumulation and tolerance and local adaptation. This can have implications in the development of plants for phytoremediation and improved mineral nutrition. Transcriptomes from root and shoot tissues of four N. caerulescens accessions with contrasting Zn, Cd and Ni hyperaccumulation and tolerance traits were sequenced with Illumina Hiseq2000. Transcriptomes were assembled using the Trinity de novo assembler and were annotated and the protein sequences predicted. The comparison against the BUSCO plant early release dataset indicated high-quality assemblies. The predicted protein sequences have been clustered into ortholog groups with closely related species. The data serve as important reference sequences in whole transcriptome studies, in analyses of genetic differences between the accessions and other species, and for primer design.

Indexed as

TranscriptomeAdaptation, PhysiologicalBrassicaceaeMetalsSoilMetalsSoil

Identifiers

PMID28140388
PMCPMC5283065

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.