Evidence map›Paper›PMID 23316443›Full record

ArticleG3 (Bethesda, Md.)2013

Mapping quantitative trait loci affecting Arabidopsis thaliana seed morphology features extracted computationally from images.

Candace R Moore, David S Gronwall, Nathan D Miller, Edgar P Spalding

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Expression of Sucrose Transporters fromInternational journal of molecular sciences · 2020
    Article
  8. Frontiers in plant science · 2020
    Article
  9. Genetics of dispersal.Biological reviews of the Cambridge Philosophical Society · 2018
    Review
  10. Article
  11. Article
  12. Spontaneous polyploidization in cucumber.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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.

Candace R MooreDepartment of Botany, University of Wisconsin, Madison, Wisconsin 53706, USA.
David S Gronwall
Nathan D Miller
Edgar P Spalding

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seeds are studied to understand dispersal and establishment of the next generation, as units of agricultural yield, and for other important reasons. Thus, elucidating the genetic architecture of seed size and shape traits will benefit basic and applied plant biology research. This study sought quantitative trait loci (QTL) controlling the size and shape of Arabidopsis thaliana seeds by computational analysis of seed phenotypes in recombinant inbred lines derived from the small-seeded Landsberg erecta × large-seeded Cape Verde Islands accessions. On the order of 10(3) seeds from each recombinant inbred line were automatically measured with flatbed photo scanners and custom image analysis software. The eight significant QTL affecting seed area explained 63% of the variation, and overlapped with five of the six major-axis (length) QTL and three of the five minor-axis (width) QTL, which accounted for 57% and 38% of the variation in those traits, respectively. Because the Arabidopsis seed is exalbuminous, lacking an endosperm at maturity, the results are relatable to embryo length and width. The Cvi allele generally had a positive effect of 2.6-4.0%. Analysis of variance showed heritability of the three traits ranged between 60% and 73%. Repeating the experiment with 2.2 million seeds from a separate harvest of the RIL population and approximately 0.5 million seeds from 92 near-isogenic lines confirmed the aforementioned results. Structured for download are files containing phenotype measurements, all sets of seed images, and the seed trait measuring tool.

Indexed as

PhenotypeAnalysis of VarianceArabidopsisComputational BiologyCrosses, GeneticImage Processing, Computer-AssistedMicroscopy, Electron, ScanningQuantitative Trait LociSeedsembryo morphologyimage processingseed QTLseed size

Identifiers

PMID23316443
PMCPMC3538336

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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.