Evidence map›Paper›PMID 42756663›Full record

ArticleFrontiers in plant science2026

Population genomics of Aosta Valley rye landraces reveals genetic structure and diversity patterns relevant for germplasm conservation.

Ezio Portis, Edoardo Vergnano, Mauro Bassignana, Matteo Martina

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

4 authors.

Ezio PortisDISAFA Plant Genetics, University of Turin, Grugliasco, Italy.
Edoardo VergnanoDISAFA Plant Genetics, University of Turin, Grugliasco, Italy.
Mauro BassignanaInstitut Agricole Régional, Aosta, Italy.
Matteo MartinaDISAFA Plant Genetics, University of Turin, Grugliasco, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Rye ( Methods: We performed a high-resolution population genomic analysis of twelve rye populations using a K-seq genotyping approach. A genome-wide SNP dataset was generated and used to assess genetic diversity and population structure through complementary multivariate, distance-based, and model-based analyses. Results: Substantial genetic variation was detected within populations (H Discussion: These findings provide an updated view of the genetic architecture of Aosta Valley rye populations and underline the importance of conserving genetically diverse and differentiated populations. More broadly, the study demonstrates the utility of K-seq for generating informative SNP datasets and investigating population structure in rye, supporting its application to the characterization and management of plant genetic resources.

Indexed as

genetic diversitygermplasm conservationK-seqlandracespopulation genomicspopulation structureSecale cerealeSNP markers

Identifiers

PMID42756663
PMCPMC13583428

What OpenQuestion holds

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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.