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Record W4415963379 · doi:10.1186/s12864-025-12248-8

Chromosome-scale assembly of European flax (Linum usitatissimum L.) genotypes and pangenomic analysis provide genomic tools to improve breeding

2025· article· en· W4415963379 on OpenAlexaboutno aff
Boris B. Demenou, Adama Ndar, Christophe Pineau, Damien Daniel Hinsinger, William Marande, Delphine Hourcade, Patricia Faivre Rampant

Bibliographic record

VenueBMC Genomics · 2025
Typearticle
Languageen
FieldMedicine
TopicPhytoestrogen effects and research
Canadian institutionsnot available
FundersInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
KeywordsLinumGenomeReference genomeSequence assemblyCultivarAmplified fragment length polymorphismGenomicsMolecular breedingGene pool

Abstract

fetched live from OpenAlex

Decoding the genome of cultivated species is one of the key starting points for supporting marker-assisted selection to accelerate breeding programmes. To date, five to six flax genotypes, including fiber flax, linseed and related wild flax, mainly from Canada, China and Russia, have been sequenced and assembled. But no genome assembly was available for Western European flax cultivar, although France is the world's leading producer of fiber flax (85% of world production). The Canadian oilseed flax cultivars CDC Bethune have been mainly used as reference for studies and breeding activities. The best assembly to date was the Chinese fiber Yiya5 assembly, which had the best metric of all the flax genome assemblies available. Recent analyses have shown that up to 30% of fiber flax reads from different origins do not map to the oilseed genome. Thus, much genetic information could be neglected using the oilseed genome as a reference. In this study, we sequenced, assembled and annotated the genomes of four European flax cultivars (two fiber Bolchoï and Idéo; two oilseed Marquise and Attila) and present the first flax pangenome. ONT Minion long reads sequence data were -assembled using Flye, -polished, validated and organised into hybrid scaffolds using optical map data (Bionano Genomics), and finally anchored into fifteen T2T pseudomolecules for each genotype using the fiber flax Yiya5 assembly. The final genome size reached 437, 441, 442 and 453 Mb for Idéo, Marquise, Attila and Bolchoï, respectively. Approximately 47,000 protein-coding genes were annotated for each genotype. For the first time, a pangenome graph were constructed for ten flax cultivars, including our four assemblies and six publicly available assemblies (CDC Bethune, Longya10 and Line 3896, Heiya-14, Yiya5 and Atlant). The total pangenome graph size was 835.77 Mbp with the core pangenome size of 172.2 Mbp. A total of 74,123 non-redundant orthologous proteins representing panproteome were identified. The pangenome results should be interpreted with caution given the quality of the publicly available genomes. This study with the resources generated, is a step forward for the development of genomic and genetic tools, useful for the improvement of Western European flax characterization and breeding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.295
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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