Evidence map›Paper›PMID 41814186›Full record

ArticleBMC plant biology2026

The impact of genome duplication on agronomically valuable traits in Ribes nigrum L.: a morpho-anatomical, physiological and cytogenetic evaluation.

Aleksandra Machlańska, Agnieszka Marasek-Ciołakowska, Małgorzata Podwyszyńska, Stanisław Pluta

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Article in BMC plant biology, 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

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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

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Aleksandra MachlańskaDepartment of Applied Biology, The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, Skierniewice, 96-100, Poland. aleksandra.machlanska@inhort.pl.
Agnieszka Marasek-CiołakowskaDepartment of Applied Biology, The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, Skierniewice, 96-100, Poland.
Małgorzata PodwyszyńskaDepartment of Applied Biology, The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, Skierniewice, 96-100, Poland.
Stanisław PlutaDepartment of Horticultural Crop Breeding, The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, Skierniewice, 96-100, Poland.

Funding

Ministry of Agriculture and Rural Development, Poland Task 3.7
6 · The paper itself

Abstract

backgroundBlackcurrant (Ribes nigrum L.), which is known for its nutrient richness, faces agricultural challenges, such as environmental stress and limited genetic diversity. Polyploidisation to increase the number of chromosome sets is a promising approach for enhancing plant traits but is underexplored in blackcurrant breeding. This study investigated the effects of chromosome doubling on blackcurrant cultivars ‘Polares‘ and ‘Gofert‘, examining growth, cyto-anatomical structures, and photosynthesis of 5- and 6-year-old bushes, to understand how genome duplication influences plant phenotypes and the potential of autotetraploids in breeding programs.

resultsCompared to diploids, tetraploid blackcurrant showed reduced growth and delayed flowering, with changes in leaf morphology, such as a larger area, increased stomatal size, lower density, and thicker epidermal and mesophyll layers. The flowers of tetraploid plants were larger, but their number per inflorescence was reduced, and pollen viability was lower. Although the berry size and weight were comparable between ploidy levels, tetraploids were characterised by reduced seed set and fruit yield. Tetraploids had a higher chlorophyll content and increased photosynthetic parameters. The cell and chloroplast ultrastructure observed through transmission electron microscopy differed between ploidy levels. The number and intensity of 5S and 35S rDNA loci also varied, as shown by fluorescence in situ hybridisation.

conclusionsInduction of tetraploid in blackcurrant resulted in significant phenotypic changes. Although tetraploidisation reduced plant vigour and fruit yield, it enhanced leaf and floral traits and photosynthetic efficiency. These findings highlight the complexity of the effect of chromosome doubling on blackcurrant performance, emphasising the need for research to optimise the benefits of polyploidisation in crop improvement.

Indexed as

Gene DuplicationGenome, PlantRibesChlorophyllChromosomes, PlantPhenotypePhotosynthesisPlant BreedingPlant LeavesTetraploidyChlorophyllAutotetraploidBlackcurrantChlorophyll contentChloroplast ultrastructureCrop improvementGrowth and developmentLeaf anatomyPhotosynthesis efficiencyrDNA loci

Identifiers

PMID41814186
PMCPMC13088395

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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.