Evidence map›Paper›PMID 40069221›Full record

ArticleScientific reports2025

Genome-specific association study (GSAS) for exploration of variability in hemp (Cannabis sativa).

Nina Trubanová, Sachiko Isobe, Kenta Shirasawa, Akiko Watanabe, George Kelesidis, Rainer Melzer, Susanne Schilling

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Genetic Advances inPlants (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Article
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

7 authors.

Nina TrubanováSchool of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
Sachiko IsobeKazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba, 292-0818, Japan.
Kenta ShirasawaKazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba, 292-0818, Japan.
Akiko WatanabeKazusa DNA Research Institute, 2-6-7 Kazusa-Kamatari, Kisarazu, Chiba, 292-0818, Japan.
George KelesidisSchool of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
Rainer MelzerSchool of Biology and Environmental Science, University College Dublin, Dublin, Ireland. rainer.melzer@ucd.ie.
Susanne SchillingSchool of Biology and Environmental Science, University College Dublin, Dublin, Ireland. susanne.schilling@ucd.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemp (Cannabis sativa L.) is a versatile crop with substantial potential for creating productive, sustainable, and resilient agricultural systems. However, in contrast to other crops such as cereals, hemp is highly heterozygous, resulting in both challenges and opportunities for agriculture, breeding, and research. Here, we utilise the heterozygosity of hemp to explore the genetic basis of phenotypic variability in a population generated from a single self-pollinated hemp plant. The S1 population shows extensive variability in plant growth, development, and reproductive patterns. Using reduced representation sequencing, selection of alleles heterozygous in the parent plant, and a model originally developed for genome-wide association studies (GWAS), we were able to identify statistically significant single nucleotide variants (SNVs) and haplotypes associated with phenotypic traits of interest, such as flowering time or biomass yield. This new approach, which we term genome-specific association study (GSAS), enables the mapping of traits in a single generation without the need for a large number of diverse cultivars or samples. GSAS might be applicable to other highly heterozygous vegetable and fruit crops, informing the breeding of new cultivars with enhanced uniformity and improved performance in traits relevant to various applications.

Indexed as

CannabisGenome, PlantGenome-Wide Association StudyGenetic VariationHaplotypesHeterozygotePhenotypePlant BreedingPolymorphism, Single NucleotideQuantitative Trait LociCannabis sativaGSASHempPhenotypeTraitsVariability

Identifiers

PMID40069221
PMCPMC11897341

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.