Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 523115
Title Data from: De novo transcriptome assemblies of four accessions of the metal hyperaccumulator plant Noccaea caerulescens
Author(s) Blande, D.; Halimaa, Pauliina; Tervahauta, Arja I.; Aarts, M.G.M.; Kärenlampi, Sirpa O.
DOI http://dx.doi.org/10.5061/dryad.380n3
Department(s) Groep KoornneefGroep Koornneef
EPS
Publication type Dataset
Publication year 2017
Keyword(s) transcriptome - assembly - Metal Hyperaccumulation - Noccaea caerulescens
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.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.