Evidence map›Paper›PMID 17597543›Full record

ArticleBMC genomics2007

A DArT platform for quantitative bulked segregant analysis.

Peter Wenzl, Harsh Raman, Junping Wang, Meixue Zhou, Eric Huttner, Andrzej Kilian

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.6field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Identifying SSR markers associated with seed characteristics in Perilla (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Genetic Characterization of Resistance toFrontiers in plant science · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Increasing the density of markers around a major QTL controlling resistance to angular leaf spot in common bean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013
    Article
  15. Article
  16. Article
  17. Diversity array technology markers: genetic diversity analyses and linkage map construction in rapeseed (Brassica napus L.).DNA research : an international journal for rapid publication of reports on genes and genomes · 2012
    Article
  18. Review
  19. Article
  20. Molecular mapping of leaf rust resistance gene Rph14 in Hordeum vulgare.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009
    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

6 authors at 3 institutions in 2 countries.

Peter WenzlDiversity Arrays Technology P/L, 1 Wilf Crane Cr., Yarralumla, Canberra ACT, Australia. peter@diversityarrays.com <peter@diversityarrays.com>
Harsh Raman
Junping Wang
Meixue Zhou
Eric Huttner
Andrzej Kilian
University of Tasmania · AUNew South Wales Department of Primary Industries · AUOffice of Diversity and Inclusion · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBulked segregant analysis (BSA) identifies molecular markers associated with a phenotype by screening two DNA pools of phenotypically distinct plants for markers with skewed allele frequencies. In contrast to gel-based markers, hybridization-based markers such as SFP, DArT or SNP generate quantitative allele-frequency estimates. Only DArT, however, combines this advantage with low development and assay costs and the ability to be deployed for any plant species irrespective of its ploidy level. Here we investigate the suitability of DArT for BSA applications using a barley array as an example.

resultsIn a first test experiment, we compared two bulks of 40 Steptoe/Morex DH plants with contrasting pubescent leaves (mPub) alleles on chromosome 3H. At optimized levels of experimental replication and marker-selection threshold, the BSA scan identified 433 polymorphic markers. The relative hybridization contrast between bulks accurately reflected the between-bulk difference in the frequency of the mPub allele (r = 0.96). The 'platform noise' of DArT assays, estimated by comparing two identical aliquots of a DNA mixture, was significantly lower than the 'pooling noise' reflecting the binomial sampling variance of the bulking process. The allele-frequency difference on chromosome 3H increased in the vicinity of mPub and peaked at the marker with the smallest distance from mPub (4.6 cM). In a validation experiment with only 20 plants per bulk we identified an aluminum (Al) tolerance locus in a Dayton/Zhepi2 DH population on chromosome 4H with < 0.8 cM precision, the same Al-tolerance locus that had been mapped before in other barley populations.

conclusionDArT-BSA identifies genetic loci that influence phenotypic characters in barley with at least 5 cM accuracy and should prove useful as a generic tool for high-throughput, quantitative BSA in plants irrespective of their ploidy level.

Indexed as

Genetic MarkersGenetic TechniquesChromosome MappingChromosomes, PlantCrosses, GeneticGenes, PlantGenetic LinkageGenomicsHordeumModels, GeneticNucleic Acid HybridizationPhenotypePloidiesPolymorphism, GeneticGenetic Markers

Identifiers

PMID17597543
PMCPMC1920522
OpenAlexW2165074909

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.