Evidence map›Paper›PMID 19756476›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2009

Development and evaluation of single-nucleotide polymorphism markers in allotetraploid rapeseed (Brassica napus L.).

Peter Westermeier, Gerhard Wenzel, Volker Mohler

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  13. Mapping of quantitative trait loci and development of allele-specific markers for seed weight in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2010
    Article
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

3 authors.

Peter WestermeierPlant Breeding, Department of Plant Sciences, Center of Life and Food Sciences Weihenstephan, Technische Universität München, Am Hochanger 4, 85350 Freising, Germany. peter.westermeier@wzw.tum.de
Gerhard Wenzel
Volker Mohler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-nucleotide polymorphisms (SNPs) and insertion-deletions (INDELs) are currently the important classes of genetic markers for major crop species. In this study, methods for developing SNP markers in rapeseed (Brassica napus L.) and their in silico mapping and use for genotyping are demonstrated. For the development of SNP and INDEL markers, 181 fragments from 121 different gene sequences spanning 86 kb were examined. A combination of different selection methods (genome-specific amplification, hetero-duplex analysis and sequence analysis) allowed the detection of 18 singular fragments that showed a total of 87 SNPs and 6 INDELs between 6 different rapeseed varieties. The average frequency of sequence polymorphism was estimated to be one SNP every 247 bp and one INDEL every 3,583 bp. Most SNPs and INDELs were found in non-coding regions. Polymorphism information content values for SNP markers ranged between 0.02 and 0.50 in a set of 86 varieties. Using comparative genetics data for B. napus and Arabidopsis thaliana, an allocation of SNP markers to linkage groups in rapeseed was achieved: a unique location was determined for seven gene sequences; two and three possible locations were found for six and four sequences, respectively. The results demonstrate the usefulness of existing genomic resources for SNP discovery in rapeseed.

Indexed as

Polymorphism, Single NucleotidePolyploidyAllelesArabidopsisBrassica napusBrassica rapaChromosome MappingChromosomes, PlantDNA, PlantDNA PrimersGene FrequencyGenetic MarkersGenetic VariationGenome, PlantGenotypeINDEL MutationDNA, PlantDNA PrimersGenetic Markers

Identifiers

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Registered trials

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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.