Evidence map›Paper›PMID 39468479›Full record

ArticleBMC plant biology2024

Lactuca super-pangenome reduces bias towards reference genes in lettuce research.

Dirk-Jan M van Workum, Sarah L Mehrem, Basten L Snoek, Marrit C Alderkamp, Dmitry Lapin, Flip F M Mulder, Guido Van den Ackerveken, Dick de Ridder, M Eric Schranz, Sandra Smit

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Accessing crop genetic diversity via pangenomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  4. Review
  5. Review
  6. Review
  7. Integration of crop modeling and sensing into molecular breeding for nutritional quality and stress tolerance.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  8. Article
  9. Review
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

10 authors.

Dirk-Jan M van WorkumBioinformatics Group, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, 6708 PB, the Netherlands.
Sarah L MehremTheoretical Biology & Bioinformatics, Utrecht University, Padualaan 8, Utrecht, 3584 CH, the Netherlands.
Basten L SnoekTheoretical Biology & Bioinformatics, Utrecht University, Padualaan 8, Utrecht, 3584 CH, the Netherlands.
Marrit C AlderkampTranslational Plant Biology, Utrecht University, Padualaan 8, Utrecht, 3584 CH, the Netherlands.
Dmitry LapinTranslational Plant Biology, Utrecht University, Padualaan 8, Utrecht, 3584 CH, the Netherlands.
Flip F M MulderDepartment of Genetics, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, the Netherlands.
Guido Van den AckervekenTranslational Plant Biology, Utrecht University, Padualaan 8, Utrecht, 3584 CH, the Netherlands.
Dick de RidderBioinformatics Group, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, 6708 PB, the Netherlands.
M Eric SchranzBiosystematics Group, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, 6708 PB, the Netherlands.
Sandra SmitBioinformatics Group, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, 6708 PB, the Netherlands. sandra.smit@wur.nl.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek P19-17
6 · The paper itself

Abstract

backgroundBreeding of lettuce (Lactuca sativa L.), the most important leafy vegetable worldwide, for enhanced disease resistance and resilience relies on multiple wild relatives to provide the necessary genetic diversity. In this study, we constructed a super-pangenome based on four Lactuca species (representing the primary, secondary and tertiary gene pools) and comprising 474 accessions. We include 68 newly sequenced accessions to improve cultivar coverage and add important foundational breeding lines.

resultsWith the super-pangenome we find substantial presence/absence variation (PAV) and copy-number variation (CNV). Functional enrichment analyses of core and variable genes show that transcriptional regulators are conserved whereas disease resistance genes are variable. PAV-genome-wide association studies (GWAS) and CNV-GWAS are largely congruent with single-nucleotide polymorphism (SNP)-GWAS. Importantly, they also identify several major novel quantitative trait loci (QTL) for resistance against Bremia lactucae in variable regions not present in the reference lettuce genome. The usability of the super-pangenome is demonstrated by identifying the likely origin of non-reference resistance loci from the wild relatives Lactuca serriola, Lactuca saligna and Lactuca virosa.

conclusionsThe super-pangenome offers a broader view on the gene repertoire of lettuce, revealing relevant loci that are not in the reference genome(s). The provided methodology and data provide a strong basis for research into PAVs, CNVs and other variation underlying important biological traits of lettuce and other crops.

Indexed as

Genome, PlantGenome-Wide Association StudyLactucaQuantitative Trait LociDisease ResistanceDNA Copy Number VariationsGenes, PlantGenetic VariationPlant BreedingPolymorphism, Single NucleotideLactuca sativaLettucePangenomicsPAV-GWASSuper-pangenome

Identifiers

PMID39468479
PMCPMC11514843

What OpenQuestion holds

Textmetadata
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.