Evidence map›Paper›PMID 40053276›Full record

ArticleJournal of plant research2025

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

Abstract read
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Article in Journal of plant research, 2025. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Shine-Undarga DagvaGraduate School of Science and Engineering, Yamagata University, Yonezawa, Yamagata, Japan.
Josephine GaliponGraduate School of Science and Engineering, Yamagata University, Yonezawa, Yamagata, Japan. jgalipon@yz.yamagata-u.ac.jp.ORCID http://orcid.org/0000-0002-6280-7446

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 for one and fourteen days at 25 °C in RNAlater and TRIzol, respectively. Additionally, field-friendly protocols were similarly evaluated for onsite plant RNA extraction at ambient temperature with lightweight equipment that can run on a portable generator, including a guanidine isothiocyanate-free protocol that is compatible with the polyphenol-rich wild strawberry Fragaria vesca. The quality of the transcriptome assembly after 1-day storage and our optimized onsite methods had similar results to that of the state-of-the-art. However, in terms of differential expression analysis, onsite extraction methods performed better overall than the stored tissue samples. We expect that our onsite RNA extraction methods will provide valuable insights into the transcriptional regulation of plants in areas where research equipment is difficult to access.

Indexed as

CoffeePlant LeavesRNA, PlantTranscriptomeGene Expression ProfilingCoffeeRNA, PlantDe novo assemblyFieldworkNon-model PlantRNA extractionTissue lysisTranscriptome

Identifiers

PMID40053276
PMCPMC12062031

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LicenceCC BY
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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.