Evidence map›Paper›PMID 17565938›Full record

ArticleGenetics2007

Predicting the size of the progeny mapping population required to positionally clone a gene.

Stephen J Dinka, Matthew A Campbell, Tyler Demers, Manish N Raizada

Abstract read
In one paragraph

Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Combined QTL mapping and association study reveals candidate genes for leaf number and flowering time in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  8. Genetic dissection of maize drought tolerance for trait improvement.Molecular breeding : new strategies in plant improvement · 2021
    Review
  9. Article
  10. Fine mapping and gene cloning in the post-NGS era: advances and prospects.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  11. Article
  12. Article
  13. Article
  14. 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

4 authors.

Stephen J DinkaDepartment of Plant Agriculture, University of Guelph, 50 Stone Road, Guelph, Ontario, Canada.
Matthew A Campbell
Tyler Demers
Manish N Raizada

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key frustration during positional gene cloning (map-based cloning) is that the size of the progeny mapping population is difficult to predict, because the meiotic recombination frequency varies along chromosomes. We describe a detailed methodology to improve this prediction using rice (Oryza sativa L.) as a model system. We derived and/or validated, then fine-tuned, equations that estimate the mapping population size by comparing these theoretical estimates to 41 successful positional cloning attempts. We then used each validated equation to test whether neighborhood meiotic recombination frequencies extracted from a reference RFLP map can help researchers predict the mapping population size. We developed a meiotic recombination frequency map (MRFM) for approximately 1400 marker intervals in rice and anchored each published allele onto an interval on this map. We show that neighborhood recombination frequencies (R-map, >280-kb segments) extracted from the MRFM, in conjunction with the validated formulas, better predicted the mapping population size than the genome-wide average recombination frequency (R-avg), with improved results whether the recombination frequency was calculated as genes/cM or kb/cM. Our results offer a detailed road map for better predicting mapping population size in diverse eukaryotes, but useful predictions will require robust recombination frequency maps based on sampling more progeny.

Indexed as

Recombination, GeneticChromosome MappingCloning, MolecularGenes, PlantGenetic TechniquesMathematicsMeiosisModels, GeneticOryza

Identifiers

PMID17565938
PMCPMC1950612

What OpenQuestion holds

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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.