Modulation of de novo organogenesis in Euphorbia pulcherrima Willd: morphogenic and molecular insights

Context and methodology

What is the research domain or project in which this dataset was created?

This dataset was generated as part of research in plant biotechnology, plant tissue culture, and molecular biology, investigating factors that influence in vitro direct adventitious shoot organogenesis in poinsettia (Euphorbia pulcherrima Willd.). The study evaluates the effects of the growth adjuvants silver nitrate (AgNO₃) and myo-inositol on regeneration efficiency and their relationship with the expression of genes involved in shoot regeneration and ethylene biosynthesis.

What is the purpose of this dataset?

The purpose of this dataset is to provide phenotypic and molecular data describing the effects of AgNO₃ and myo-inositol on in vitro shoot regeneration in poinsettia. The dataset supports the investigation of regeneration-promoting treatments and the identification of transcriptional changes associated with enhanced morphogenic competence and cellular reprogramming. It may be reused for comparative studies, optimization of tissue culture protocols, and research on regeneration mechanisms in ornamental plants.

How was this dataset created?

The dataset was generated from controlled in vitro tissue culture experiments using explants of Euphorbia pulcherrima cv. Christmas Eve. Explants were cultured on regeneration media supplemented with different concentrations of silver nitrate (AgNO₃) and myo-inositol. Regeneration responses, including morphogenic characteristics and shoot formation, were recorded under standardized culture conditions. Expression levels of shoot regeneration-related transcription factors and ethylene biosynthesis genes were determined using molecular analyses. Experimental observations, quantitative measurements, gene expression data, and associated metadata were compiled and organized for statistical analysis.

Technical details

What is the structure of this dataset? Do the folders and files follow a certain naming convention?

The dataset is organized into folders according to data type and experimental workflow. It includes raw and processed regeneration data, gene expression data, statistical outputs, and metadata describing experimental conditions and treatments. Files are named systematically using experiment identifiers, treatment names, sample identifiers, and dates to facilitate traceability and reproducibility.

Is any specific software required to open and work with this dataset?

The dataset can be opened using standard spreadsheet software such as Microsoft Excel. Statistical analyses can be reproduced using R, Python, SPSS, or similar statistical software. If quantitative PCR data are included, the associated qPCR analysis software may be used to reproduce normalization and expression calculations.

Are there any additional resources available regarding the dataset, e.g. documentation, source code, etc.?

A README file accompanies the dataset and provides descriptions of the dataset structure, variable definitions, abbreviations, experimental design, and measurement units. Detailed experimental procedures are available in the associated publication.

Further details

The dataset contains phenotypic and molecular measurements obtained under controlled in vitro culture conditions and is intended to support research on shoot regeneration and morphogenic competence in poinsettia. Users should consider explant type, culture medium composition, concentrations of plant growth regulators and growth adjuvants, sampling time points, and experimental conditions when interpreting the data. Gene expression measurements should be interpreted together with the accompanying regeneration data and experimental metadata. The dataset may be reused for studies on plant regeneration, tissue culture optimization, hormonal regulation, gene expression, and the development of improved propagation protocols for Euphorbia pulcherrima and related species.

Funding: 

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101065228 (HORIZON-MSCA-2021-PF-01-COLORnamental). The authors acknowledge TU Wien Bibliothek for financial support through its Open Access Funding Programme. The authors would also like to thank Andreea Enculescu and Guido v. Tubeuf for generously supplying plant materials.