Evidence map›Paper›PMID 36513422›Full record

ArticleJournal of advanced research2022

Expression complementation of gene presence/absence polymorphisms in hybrids contributes importantly to heterosis in sunflower.

Joon Seon Lee, Mojtaba Jahani, Kaichi Huang, Jennifer R Mandel, Laura F Marek, John M Burke, Nicolas B Langlade, Gregory L Owens, Loren H Rieseberg

Open access · goldAbstract read
In one paragraph

Article in Journal of advanced research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. Review
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  8. The genomics of linkage drag in inbred lines of sunflower.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Chemical modulation ofWellcome open research · 2023
    Article
  10. Development of energy plants from hybrids betweenFrontiers in plant science · 2022
    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

9 authors at 6 institutions in 3 countries.

Joon Seon LeeDepartment of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Mojtaba JahaniDepartment of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Kaichi HuangDepartment of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada.
Jennifer R MandelDepartment of Biological Sciences and Center for Biodiversity, University of Memphis, Memphis, TN 38152, USA.
Laura F MarekDepartment of Agronomy, Iowa State University, Ames, IA 50011, USA.
John M BurkeDepartment of Plant Biology, Miller Plant Sciences, University of Georgia, Athens 30602, Georgia.
Nicolas B LangladeLIPM, Université de Toulouse, INRA, CNRS, Castanet-Tolosan, France.
Gregory L OwensDepartment of Biology, University of Victoria, Victoria, BC V8P 5C2, Canada.
Loren H RiesebergDepartment of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. Electronic address: lriesebe@mail.ubc.ca.
University of British Columbia · CAIowa State University · USUniversité Fédérale de Toulouse Midi-Pyrénées · FRUniversity of Georgia · USUniversity of Memphis · USUniversity of Victoria · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNumerous crops have transitioned to hybrid seed production to increase yields and yield stability through heterosis. However, the molecular mechanisms underlying heterosis and its stability across environments are not yet fully understood.

objectivesThis study aimed to (1) elucidate the genetic and molecular mechanisms underlying heterosis in sunflower, and (2) determine how heterosis is maintained under different environments.

methodsGenome-wide association (GWA) analyses were employed to assess the effects of presence/absence variants (PAVs) and stop codons on 16 traits phenotyped in the sunflower association mapping population at three locations. To link the GWA results to transcriptomic variation, we sequenced the transcriptomes of two sunflower cultivars and their F

resultsThousands of PAVs were found to affect phenotypic variation using a relaxed significance threshold, and at most such loci the "absence" allele reduced values of heterotic traits, but not those of non-heterotic traits. This pattern was strengthened for PAVs that showed expression complementation in INEDI. Stop codons were much rarer than PAVs and less likely to reduce heterotic trait values. Hybrid expression patterns were enriched for the GO category, sensitivity to stimulus, but all genotypes responded to drought similarily - by up-regulating water stress response pathways and down-regulating metabolic pathways. Changes in alternative splicing were strongly negatively correlated with expression variation, implying that alternative splicing in this system largely acts to reinforce expression responses.

conclusionOur results imply that complementation of expression of PAVs in hybrids is a major contributor to heterosis in sunflower, consistent with the dominance model of heterosis. This mechanism can account for yield stability across different environments. Moreover, given the much larger numbers of PAVs in plant vs. animal genomes, it also offers an explanation for the stronger heterotic responses seen in the former.

Indexed as

HelianthusHybrid VigorCodon, TerminatorGenome-Wide Association StudyPhenotypeCodon, TerminatorDrought stressExpression complementationHeterosisPresence absence variationSunflower

Identifiers

PMID36513422
PMCPMC9788961
OpenAlexW4224299959

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.