Evidence map›Paper›PMID 41073913›Full record

ArticleBMC genomics2025

De novo transcriptome assembly and gene expression analysis of Cnidium officinale under high-temperature conditions.

Sohee Shin, Eonyong Han, Hyeju Seong, Yong Il Kim, Inuk Jung, Woosuk Jung

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Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sohee ShinDepartment of Crop Science, Konkuk University, Seoul, 05029, Korea.
Eonyong HanSchool of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, Korea.
Hyeju SeongDepartment of Crop Science, Konkuk University, Seoul, 05029, Korea.
Yong Il KimDepartment of Herbal Crop Research, National Institute of Horticultural and Herbal Science, Rural Development Administration, Eumseong, 27709, Korea.
Inuk JungSchool of Computer Science and Engineering, Kyungpook National University, Daegu, 41566, Korea.
Woosuk JungDepartment of Crop Science, Konkuk University, Seoul, 05029, Korea. jungw@konkuk.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe medicinal plant Cnidium officinale (CO) is widespread in Northeast Asia and vulnerable to heat stress. The naturally occurring composition of pharmacological ingredients of CO results in overall physiological consequences; therefore, it is crucial to have a comprehensive understanding of metabolic response to ambient heat in terms of acclimation to estimate how much CO is exposed to threatening environmental conditions.

resultsTranscriptome analysis is critical for understanding the consequences of long-term physiological adaptation of CO to abiotic stress. However, transcriptome analysis on this species, particularly under prolonged stress conditions, has remained limited. We employed a temperature gradient tunnel (TGT) to subject CO to high-temperature exposure for four months, enabling us to observe the cumulative effects of heat and assess its acclimation mechanisms. In the absence of genome sequencing data, we performed de novo transcriptome assembly and compared DEGs from temperature treatment plots of a TGT and a growth chamber (GC). Since interpreting transcriptomic data can be complex, we employed a sequential analytical approach, including DEG clustering, GO enrichment, KEGG pathway mapping, miRNA-target gene analysis, and multiple rounds of RNA sequencing validation. DEGs were classified into two categories: genes exhibiting significant fold changes and genes showing significant count changes rather than fold changes. Then, we analyzed the functional roles of DEGs to determine which pathways respond to ambient and stressful high temperatures and validated the findings through cross-comparison with GC. Additionally, we conducted miRNA analysis to investigate post-transcriptional regulation under high temperatures. CO grown under higher ambient temperatures exhibited slight upregulation of pathways related to protein stability and turnover, ABA biosynthesis, and energy production, such as photosynthesis and oxidative phosphorylation. However, under extreme heat stress, most metabolic pathways were downregulated except for those involved in transcription, translation, oxidative phosphorylation and the biosynthesis of cutin, suberin, and wax.

conclusionThis study demonstrated that proper clustering of genes based on expression levels and fold changes in two different experimental conditions, along with pathway mapping, may provide a comprehensive understanding of CO's response to heat stress. These insights could contribute to future research on heat tolerance and crop improvement.

Indexed as

Gene Expression ProfilingGene Expression Regulation, PlantHot TemperatureTranscriptomeHeat-Shock ResponseMicroRNAsMicroRNAsClimate changeCnidium officinaleGene expressionHeat stressMedicinal cropTranscriptome

Identifiers

PMID41073913
PMCPMC12512658

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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.