Evidence map›Paper›PMID 24914686›Full record

ArticlePloS one2014

Molecular evolution of candidate genes for crop-related traits in sunflower (Helianthus annuus L.).

Jennifer R Mandel, Edward V McAssey, Savithri Nambeesan, Elena Garcia-Navarro, John M Burke

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 2 institutions in 2 countries.

Jennifer R MandelDepartment of Plant Biology, University of Georgia, Athens, Georgia, United States of America.
Edward V McAsseyDepartment of Plant Biology, University of Georgia, Athens, Georgia, United States of America.
Savithri NambeesanDepartment of Plant Biology, University of Georgia, Athens, Georgia, United States of America.
Elena Garcia-NavarroInstituto de Agricultura Sostenible, Consejo Superior de Investigaciones Científicas, Córdoba, Spain.
John M BurkeDepartment of Plant Biology, University of Georgia, Athens, Georgia, United States of America.
University of Georgia · USInstituto de Agricultura Sostenible · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary analyses aimed at detecting the molecular signature of selection during crop domestication and/or improvement can be used to identify genes or genomic regions of likely agronomic importance. Here, we describe the DNA sequence-based characterization of a pool of candidate genes for crop-related traits in sunflower. These genes, which were identified based on homology to genes of known effect in other study systems, were initially sequenced from a panel of improved lines. All genes that exhibited a paucity of sequence diversity, consistent with the possible effects of selection during the evolution of cultivated sunflower, were then sequenced from a panel of wild sunflower accessions an outgroup. These data enabled formal tests for the effects of selection in shaping sequence diversity at these loci. When selection was detected, we further sequenced these genes from a panel of primitive landraces, thereby allowing us to investigate the likely timing of selection (i.e., domestication vs. improvement). We ultimately identified seven genes that exhibited the signature of positive selection during either domestication or improvement. Genetic mapping of a subset of these genes revealed co-localization between candidates for genes involved in the determination of flowering time, seed germination, plant growth/development, and branching and QTL that were previously identified for these traits in cultivated × wild sunflower mapping populations.

Indexed as

Evolution, MolecularGenes, PlantGenetic Association StudiesQuantitative Trait, HeritableCrops, AgriculturalEcotypeFlowersGenetics, PopulationGenetic VariationGerminationHelianthusNucleotidesQuantitative Trait LociNucleotides

Identifiers

PMID24914686
PMCPMC4051887
OpenAlexW2046684388

What OpenQuestion holds

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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.