Evidence map›Paper›PMID 26061739›Full record

ArticlePloS one2015

Efficient Detection of Novel Nuclear Markers for Brassicaceae by Transcriptome Sequencing.

Reinhold Stockenhuber, Stefan Zoller, Rie Shimizu-Inatsugi, Felix Gugerli, Kentaro K Shimizu, Alex Widmer, Martin C Fischer

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In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

7 authors.

Reinhold StockenhuberInstitute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland; Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Stefan ZollerGenetic Diversity Centre, ETH Zurich, Zurich, Switzerland.
Rie Shimizu-InatsugiInstitute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
Felix GugerliWSL Swiss Federal Research Institute, Birmensdorf, Switzerland.
Kentaro K ShimizuInstitute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
Alex WidmerInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Martin C FischerInstitute of Integrative Biology, ETH Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of DNA sequence information for most non-model organisms impairs the design of primers that are universally applicable for the study of molecular polymorphisms in nuclear markers. Next-generation sequencing (NGS) techniques nowadays provide a powerful approach to overcome this limitation. We present a flexible and inexpensive method to identify large numbers of nuclear primer pairs that amplify in most Brassicaceae species. We first obtained and mapped NGS transcriptome sequencing reads from two of the distantly related Brassicaceae species, Cardamine hirsuta and Arabis alpina, onto the Arabidopsis thaliana reference genome, and then identified short conserved sequence motifs among the three species bioinformatically. From these, primer pairs to amplify coding regions (nuclear protein coding loci, NPCL) and exon-primed intron-crossing sequences (EPIC) were developed. We identified 2,334 universally applicable primer pairs, targeting 1,164 genes, which provide a large pool of markers as readily usable genomic resource that will help addressing novel questions in the Brassicaceae family. Testing a subset of the newly designed nuclear primer pairs revealed that a great majority yielded a single amplicon in all of the 30 investigated Brassicaceae taxa. Sequence analysis and phylogenetic reconstruction with a subset of these markers on different levels of phylogenetic divergence in the mustard family were compared with previous studies. The results corroborate the usefulness of the newly developed primer pairs, e.g., for phylogenetic analyses or population genetic studies. Thus, our method provides a cost-effective approach for designing nuclear loci across a broad range of taxa and is compatible with current NGS technologies.

Indexed as

BrassicaceaeCell NucleusComputational BiologyGene Expression ProfilingGenetic LociGenetic MarkersPhylogenyPlant ProteinsSequence Analysis, RNAGenetic MarkersPlant Proteins

Identifiers

PMID26061739
PMCPMC4465667

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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.