Effect of fieldwork-friendly coffee blender-based extraction methods and leaf tissue storage on the transcriptome of non-model plants
Shine-Undarga Dagva, Josephine Galipon

TL;DR
This study evaluates field-friendly methods for RNA extraction and storage in plants, focusing on their impact on transcriptome quality in non-model species.
Contribution
The study introduces and validates fieldwork-friendly RNA extraction protocols suitable for polyphenol-rich plants and non-cold storage conditions.
Findings
Transcriptome assemblies from stored leaf tissue and field extraction methods showed quality comparable to state-of-the-art methods.
Onsite RNA extraction methods outperformed stored tissue samples in differential expression analysis.
Protocols were optimized for use in remote areas without cold storage or advanced equipment.
Abstract
The adaptation of plants to environmental conditions involves a transcriptional response. “Field transcriptomics” is an emerging concept for studying plants in their natural habitat. However, this term includes studies in which cold storage was possible until further processing in a laboratory. Previous studies proposing onsite RNA extraction methods are limited to descriptions of RNA purity, quantity, and quality, and lack a thorough evaluation of transcriptome quality, and transcriptomic evaluations of RNA storage solutions in plants are, to our knowledge, only available for periods of less than a day. This issue is critical for studying plants in geographically difficult-to-access regions, where keeping the cold chain is unrealistic. In this study, the transcriptome of the non-model plant Helonias orientalis (order: Liliales) was evaluated before and after storage of the leaf tissue…
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Taxonomy
TopicsCoffee research and impacts · CRISPR and Genetic Engineering
