Evidence map›Paper›PMID 36972449›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

The genomics of linkage drag in inbred lines of sunflower.

Kaichi Huang, Mojtaba Jahani, Jérôme Gouzy, Alexandra Legendre, Sébastien Carrere, José Miguel Lázaro-Guevara, Eric Gerardo González Segovia, Marco Todesco, Baptiste Mayjonade, Nathalie Rodde and 20 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
21.0field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. The stability of fatty acid composition in sunflower oil is dependent on environment and affected by structural variation.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Understanding genetic architecture overcomes tradeoffs between seed quality and insect resistance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

30 authors at 6 institutions in 4 countries.

Kaichi HuangDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0002-0378-5988
Mojtaba JahaniDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0003-1844-1464
Jérôme GouzyLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.ORCID 0000-0001-5695-4557
Alexandra LegendreLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.
Sébastien CarrereLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.
José Miguel Lázaro-GuevaraDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0003-0741-4225
Eric Gerardo González SegoviaDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0001-5598-0235
Marco TodescoDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0002-6227-4096
Baptiste MayjonadeLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.ORCID 0000-0001-6720-6861
Nathalie RoddeCentre National de Ressources Génomiques Végétales (CNRGV), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Castanet-Tolosan, F-31326 France.ORCID 0000-0003-3361-4730
Stéphane CauetCentre National de Ressources Génomiques Végétales (CNRGV), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Castanet-Tolosan, F-31326 France.ORCID 0000-0003-4985-8940
Isabelle DufauCentre National de Ressources Génomiques Végétales (CNRGV), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Castanet-Tolosan, F-31326 France.ORCID 0000-0003-2020-7423
S Evan StatonDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Nicolas PouillyLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.ORCID 0000-0002-6123-9272
Marie-Claude BonifaceLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.
Camille TapyLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.
Brigitte ManginLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.
Alexandra DuhnenLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.
Véronique GautierGentyane Genomic Platform, Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Clermont Ferrand, 63000 France.ORCID 0000-0002-9300-2763
Charles PoncetGentyane Genomic Platform, Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Clermont Ferrand, 63000 France.ORCID 0000-0003-3376-347X
Cécile DonnadieuPlateforme Génome et Transcriptome (GeT-PlaGe), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Castanet-Tolosan, F-31326 France.
Tali MandelMIGAL Galilee Research Institute, Tel-Hai Academic College, Upper Galilee, 11016 Israel.
Sariel HübnerMIGAL Galilee Research Institute, Tel-Hai Academic College, Upper Galilee, 11016 Israel.ORCID 0000-0003-3660-4634
John M BurkeDepartment of Plant Biology, University of Georgia, Athens, GA 30602.ORCID 0000-0002-1412-5539
Sonia VautrinCentre National de Ressources Génomiques Végétales (CNRGV), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Castanet-Tolosan, F-31326 France.
Arnaud BellecCentre National de Ressources Génomiques Végétales (CNRGV), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Castanet-Tolosan, F-31326 France.ORCID 0000-0002-7608-9537
Gregory L OwensDepartment of Biology, University of Victoria, Victoria, BC V8W 2Y2, Canada.ORCID 0000-0002-4019-5215
Nicolas LangladeLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.ORCID 0000-0002-5651-1446
Stéphane MuñosLaboratoire des Interactions Plantes-Microbes-Environnement, Centre national de la recherche scientifique (CNRS), Institut national de recherche pour l'agriculture, l'alimentation et l'environnement (INRAE), Université de Toulouse, Castanet-Tolosan, F-31326 France.
Loren H RiesebergDepartment of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.ORCID 0000-0002-2712-2417
Centre National de la Recherche Scientifique · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversity of British Columbia · CATel Hai Academic College · ILUniversity of Georgia · USUniversity of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop wild relatives represent valuable sources of alleles for crop improvement, including adaptation to climate change and emerging diseases. However, introgressions from wild relatives might have deleterious effects on desirable traits, including yield, due to linkage drag. Here, we analyzed the genomic and phenotypic impacts of wild introgressions in inbred lines of cultivated sunflower to estimate the impacts of linkage drag. First, we generated reference sequences for seven cultivated and one wild sunflower genotype, as well as improved assemblies for two additional cultivars. Next, relying on previously generated sequences from wild donor species, we identified introgressions in the cultivated reference sequences, as well as the sequence and structural variants they contain. We then used a ridge-regression best linear unbiased prediction (BLUP) model to test the effects of the introgressions on phenotypic traits in the cultivated sunflower association mapping population. We found that introgression has introduced substantial sequence and structural variation into the cultivated sunflower gene pool, including >3,000 new genes. While introgressions reduced genetic load at protein-coding sequences, they mostly had negative impacts on yield and quality traits. Introgressions found at high frequency in the cultivated gene pool had larger effects than low-frequency introgressions, suggesting that the former likely were targeted by artificial selection. Also, introgressions from more distantly related species were more likely to be maladaptive than those from the wild progenitor of cultivated sunflower. Thus, breeding efforts should focus, as far as possible, on closely related and fully compatible wild relatives.

Indexed as

HelianthusGenome, PlantGenomicsGenotypePlant Breedingintrogressionlinkage dragplant breedingstructural variationsunflower

Identifiers

PMID36972449
PMCPMC10083583
OpenAlexW4360992873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.