Evidence map›Paper›PMID 42015654›Full record

ReviewMolecular biology and evolution2026

From structural pangenomes to functional panomics in plants.

Noé Cochetel, Dario Cantu

Abstract readReview
In one paragraph

Review in Molecular biology and evolution, 2026. 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
–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

3 citing papers in PubMed.

  1. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
  2. Review
  3. 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

2 authors.

Noé CochetelDepartment of Viticulture and Enology, University of California Davis, Davis, CA, USA.ORCID 0000-0003-3395-9536
Dario CantuDepartment of Viticulture and Enology, University of California Davis, Davis, CA, USA.ORCID 0000-0002-4858-1508

Funding

E.&J. Gallo WineryNSF #1741627Ray Rossi Endowment in Viticulture and EnologyUSDA NIFA 2022-51181-38240
6 · The paper itself

Abstract

Understanding how genome structure and gene content evolve within and among plant species requires analytical frameworks that capture the full spectrum of allelic and structural variation. Plant pangenomes have progressed from gene-focused and linear representations to chromosome-scale, haplotype-resolved graphs that preserve allelic and structural diversity across populations. Attention is increasingly focused on the evolutionary processes that generate and maintain pangenome architecture, alongside the adoption of graph-based coordinate systems that reduce reference bias and enable multi-omics integration. Here, we review plant pangenome paradigms, from early homology-based gene sets to haplotype-resolved graph models, and summarize tradeoffs in construction, mapping, and variant analysis. We synthesize patterns of core and variable gene compartments across studies and examine how transposable elements, gene duplication, and selection shape their contrasting evolutionary dynamics. Using panNLRomes and crop domestication as case studies, we illustrate how graph-based frameworks clarify evolutionary and functional signals obscured by single references, including birth-death dynamics at resistance loci and structural variants associated with domestication. Finally, we discuss emerging applications in pantranscriptomics and panepigenomics and outline key methodological and infrastructural challenges.

Indexed as

Genome, PlantPlantsDNA Transposable ElementsEvolution, MolecularGenomicsDNA Transposable ElementspanepigenomicspangenomepanNLRomepanomicspantranscriptomicssequence graph

Identifiers

PMID42015654
PMCPMC13112433

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.