Evidence map›Paper›PMID 42014925›Full record

ReviewNature genetics2026

k-mer-based approaches to unlock genebank genomics for targeted crop improvement.

Anna Elisabeth Backhaus, Jesus Quiroz-Chavez, Susanne Dreisigacker, Emile Cavalet-Giorsa, Cristobal Uauy, Simon G Krattinger

Abstract readReview
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In one paragraph

Review in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Anna Elisabeth BackhausInternational Center for Agricultural Research in the Dry Areas, Rabat, Morocco.ORCID http://orcid.org/0000-0001-5202-9372
Jesus Quiroz-ChavezInternational Maize and Wheat Improvement Center, Texcoco, Mexico.
Susanne DreisigackerInternational Maize and Wheat Improvement Center, Texcoco, Mexico.ORCID http://orcid.org/0000-0002-3546-5989
Emile Cavalet-GiorsaPlant Science Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.ORCID http://orcid.org/0000-0001-6619-5996
Cristobal UauyJohn Innes Centre, Norwich Research Park, Norwich, UK. cristobal.uauy@jic.ac.uk.ORCID http://orcid.org/0000-0002-9814-1770
Simon G KrattingerPlant Science Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. simon.krattinger@kaust.edu.sa.ORCID http://orcid.org/0000-0001-6912-7411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genebanks have a vital role in safeguarding plant genetic resources and providing access to valuable genetic diversity that is absent from modern breeding gene pools. Yet, a major challenge for using genebank materials in crop improvement programs lies in selecting manageable subsets of accessions that maximize genetic diversity for traits of interest. The integration of genomic information is creating new opportunities to address this challenge. Recent studies have shown that k-mer-based bioinformatic approaches capture and reveal previously hidden functional diversity that is missing in elite cultivars. Here we present a perspective on how such approaches enable a precise identification of allele and haplotype diversity across large genebank collections that can guide the strategic selection of accessions for crop improvement. Incorporating this untapped genetic diversity from genebanks into crop improvement pipelines is increasingly recognized as a crucial strategy for developing climate-resilient cultivars.

Indexed as

Crops, AgriculturalGenome, PlantGenomicsPlant BreedingAllelesComputational BiologyGenetic VariationHaplotypes

Identifiers

What OpenQuestion holds

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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.