Evidence map›Paper›PMID 42875966›Full record

ArticleBiotechnology journal2026

An Integrated Transient Expression and UPLC-PDA Approach for Functional Genomics and Metabolic Analysis of Cannabis sativa.

Sarah Pullano, Aida Shahabi, Parmis Shariat Torbaghani, Ivan Monsalvo, Madison Sandler, Adam Sumner, Alex Harris, David Haak, Bastiaan Bargmann, Nik Kovinich

Abstract read
In one paragraph

Article in Biotechnology journal, 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

10 authors.

Sarah PullanoDepartment of Biology, York University, Toronto, Ontario, Canada.ORCID https://orcid.org/0009-0002-9854-0023
Aida ShahabiDepartment of Biology, York University, Toronto, Ontario, Canada.ORCID https://orcid.org/0009-0002-2142-5385
Parmis Shariat TorbaghaniDepartment of Biology, York University, Toronto, Ontario, Canada.ORCID https://orcid.org/0009-0008-8462-7842
Ivan MonsalvoDepartment of Biology, York University, Toronto, Ontario, Canada.ORCID https://orcid.org/0009-0003-9709-0830
Madison SandlerDepartment of Biology, York University, Toronto, Ontario, Canada.
Adam SumnerCollege of Agricultural and Life Sciences, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0009-0007-4745-3305
Alex HarrisCollege of Agricultural and Life Sciences, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0002-3120-655X
David HaakCollege of Agricultural and Life Sciences, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0002-3692-3152
Bastiaan BargmannCollege of Agricultural and Life Sciences, Virginia Tech, Blacksburg, Virginia, USA.ORCID https://orcid.org/0000-0001-8406-5036
Nik KovinichDepartment of Biology, York University, Toronto, Ontario, Canada.ORCID https://orcid.org/0000-0002-9396-6626

Funding

Natural Sciences and Engineering Research Council of Canada RGPIN-2025-06282NSERC CGS-M 596223NSERC PGS-D 590135-2024USDA-NIFA Foundational and Applied Science Program 2023-0046
6 · The paper itself

Abstract

Cannabis sativa (Cannabis) is a high-value medicinal crop whose functional genomics and metabolic engineering remain constrained by limited genetic tools. The species is regarded as recalcitrant to stable transformation, and existing transient expression systems exhibit low efficiency or are restricted to hemp cultivars. Here, we report two Agrobacterium-mediated agroinfiltration protocols enabling rapid, robust, and reproducible transient gene expression in drug-type, high-THC Cannabis tissues. Using the RUBY betalain reporter system, we demonstrate transformation efficiencies of up to 100% in mature leaf disks and 81%-100% in whole seedlings. By independently comparing Agrobacterium strains and vector configurations, we demonstrate that transformation efficiency and transgene expression are influenced by distinct experimental variables, with EHA105 providing the highest transformation efficiency and p35S-based vectors producing the strongest reporter expression. Complementing these genetic tools, we developed a UPLC-PDA method enabling simultaneous detection and quantification of cannabinoids and cannflavins. While not intended to replace mass spectrometry-based analyses, the method provides an accessible and cost-effective platform for comparative metabolite profiling during functional genomics and metabolic engineering studies. Together, these advances establish an integrated workflow linking high-efficiency transient gene expression with streamlined biochemical analysis, providing a practical foundation for gene function studies, pathway interrogation, and biotechnology-driven trait engineering in Cannabis.

Indexed as

CannabisGenomicsAgrobacteriumCannabinoidsChromatography, High Pressure LiquidMetabolic EngineeringPlant LeavesPlants, Genetically ModifiedTransformation, GeneticCannabinoidsAgrobacterium tumefaciensCannabis sativaRUBY reporter systemtransient expressiontrichomes

Identifiers

PMID42875966
PMCPMC13669522

What OpenQuestion holds

Textmetadata
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.