Evidence map›Paper›PMID 18193187›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2008

Six new recombinant inbred populations for the study of quantitative traits in Arabidopsis thaliana.

Carmel M O'Neill, Colin Morgan, Jane Kirby, Hendrik Tschoep, Polo Xiaoyi Deng, Mahon Brennan, Ulises Rosas, Fiona Fraser, Caroline Hall, Samantha Gill and 1 more

Erratum issuedAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  16. Analysis of natural allelic variation in Arabidopsis using a multiparent recombinant inbred line population.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  17. Article
  18. Article
  19. Article
  20. Association mapping of local climate-sensitive quantitative trait loci in Arabidopsis thaliana.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

11 authors.

Carmel M O'NeillJohn Innes Centre, Norwich Research Park, Colney, Norwich, NR4 7UH, England.
Colin Morgan
Jane Kirby
Hendrik Tschoep
Polo Xiaoyi Deng
Mahon Brennan
Ulises Rosas
Fiona Fraser
Caroline Hall
Samantha Gill
Ian Bancroft

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative approaches are now widely used to study the genetic architecture of complex traits. However, most studies have been conducted in single mapping populations, which sample only a fraction of the natural allelic variation available within a gene pool and can identify only a subset of the loci controlling the traits. To enable the progress towards an understanding of the global genetic architecture of a broad range of complex traits, we have developed and characterised six new Arabidopsis thaliana recombinant inbred populations. To evaluate the utility of these populations for integrating analyses from multiple populations, we identified quantitative trait loci (QTL) controlling flowering time in vernalized plants growing in 16 h days. We used the physical positions of markers to align the linkage maps of our populations with those of six existing populations. We identified seven QTL in genomic locations coinciding with those identified in previous studies and in addition a further eight QTL were identified.

Indexed as

BreedingQuantitative Trait, HeritableAllelesArabidopsisFlowersGenetic MarkersPhysical Chromosome MappingRecombination, GeneticGenetic Markers

Identifiers

PMID18193187
PMCPMC2755751

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.