Early protoplast culture and partial regeneration in Cannabis sativa: gene expression dynamics of proliferation and stress response

<i>Cannabis sativa</i> L. is a plant of significant interest due to its high content of biologically active compounds, durable fibers, and bioeconomic potential. Despite recent progress in protoplast isolation, complete plant regeneration from cannabis protoplasts remains unachieved, highlighting gaps in protoplast-to-plant systems. This study reports the second successful establishment and partial regeneration of cannabis protoplast cultures, and investigates their molecular dynamics, marking a significant step forward. We demonstrated that the age of donor material is critical for the protoplast isolation, with the optimal source being 1-2-week-old leaves from <i>in vitro</i>-grown seedlings. Cultivation in a modified medium developed for <i>Arabidopsis thaliana</i> supported initial cell divisions and microcallus formation. Transcriptomic analyses of cell proliferation and stress response markers indicate that the cultured protoplasts were viable, re-entered the cell cycle, and exhibited oxidative and abiotic stress resilience. These findings enhance our understanding of cannabis cell biology and lay the groundwork for a protoplast-based regeneration system, paving the way for advanced applications in biotechnology.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-06-06
DOI
https://doi.org/10.3389/fpls.2025.1609413
Citations
2
Primary Topic
Plant tissue culture and regeneration
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Early protoplast culture and partial regeneration in Cannabis sativa: gene expression dynamics of proliferation and stress response

Vladan Ondřej, Josef Baltazar Šenkyřík, Daniel Král
2 citations
Frontiers in Plant Science
Plant tissue culture and regeneration
1.61
article

Early protoplast culture and partial regeneration in Cannabis sativa: gene expression dynamics of proliferation and stress response

Vladan Ondřej, Josef Baltazar Šenkyřík, Daniel Král
article en
2 citations

Abstract

<i>Cannabis sativa</i> L. is a plant of significant interest due to its high content of biologically active compounds, durable fibers, and bioeconomic potential. Despite recent progress in protoplast isolation, complete plant regeneration from cannabis protoplasts remains unachieved, highlighting gaps in protoplast-to-plant systems. This study reports the second successful establishment and partial regeneration of cannabis protoplast cultures, and investigates their molecular dynamics, marking a significant step forward. We demonstrated that the age of donor material is critical for the protoplast isolation, with the optimal source being 1-2-week-old leaves from <i>in vitro</i>-grown seedlings. Cultivation in a modified medium developed for <i>Arabidopsis thaliana</i> supported initial cell divisions and microcallus formation. Transcriptomic analyses of cell proliferation and stress response markers indicate that the cultured protoplasts were viable, re-entered the cell cycle, and exhibited oxidative and abiotic stress resilience. These findings enhance our understanding of cannabis cell biology and lay the groundwork for a protoplast-based regeneration system, paving the way for advanced applications in biotechnology.

Frontiers in Plant ScienceVol. 16
Palacký University Olomouc (CZ)
Ministerstvo Zemědělství, Univerzita Palackého v Olomouci
Responsible consumption and production
Openalex Percentile: Top 17%
Plant tissue culture and regeneration
1.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.