Evidence map›Paper›PMID 23555290›Full record

ArticlePLoS genetics2013

Association mapping and the genomic consequences of selection in sunflower.

Jennifer R Mandel, Savithri Nambeesan, John E Bowers, Laura F Marek, Daniel Ebert, Loren H Rieseberg, Steven J Knapp, John M Burke

Abstract read
In one paragraph

Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing 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

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

59 citing papers in PubMed.

  1. Article
  2. Identification and Fine-Mapping ofInternational journal of molecular sciences · 2026
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  12. The genomics of linkage drag in inbred lines of sunflower.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

8 authors.

Jennifer R MandelDepartment of Plant Biology, Miller Plant Sciences, University of Georgia, Athens, Georgia, United States of America.
Savithri Nambeesan
John E Bowers
Laura F Marek
Daniel Ebert
Loren H Rieseberg
Steven J Knapp
John M Burke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of large-scale population genomic analyses and trait-based mapping approaches has the potential to provide novel insights into the evolutionary history and genome organization of crop plants. Here, we describe the detailed genotypic and phenotypic analysis of a sunflower (Helianthus annuus L.) association mapping population that captures nearly 90% of the allelic diversity present within the cultivated sunflower germplasm collection. We used these data to characterize overall patterns of genomic diversity and to perform association analyses on plant architecture (i.e., branching) and flowering time, successfully identifying numerous associations underlying these agronomically and evolutionarily important traits. Overall, we found variable levels of linkage disequilibrium (LD) across the genome. In general, islands of elevated LD correspond to genomic regions underlying traits that are known to have been targeted by selection during the evolution of cultivated sunflower. In many cases, these regions also showed significantly elevated levels of differentiation between the two major sunflower breeding groups, consistent with the occurrence of divergence due to strong selection. One of these regions, which harbors a major branching locus, spans a surprisingly long genetic interval (ca. 25 cM), indicating the occurrence of an extended selective sweep in an otherwise recombinogenic interval.

Indexed as

Genetic VariationSelection, GeneticChromosome MappingGenetic Association StudiesGenome, PlantHelianthusHumansLinkage DisequilibriumPhylogenyQuantitative Trait Loci

Identifiers

PMID23555290
PMCPMC3605098

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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.