Evidence map›Paper›PMID 38647720›Full record

ArticlePlant cell reports2024

Transcriptomic and metabolomic profiling provide insight into the role of sugars and hormones in leaf senescence of Pinellia ternata.

Jialei Chen, Jialu Wang, Li Liu, Yifei Pei, Ziyi Liu, Xue Feng, Xiwen Li

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Article in Plant cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Jialei Chen *Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-2627-8847
Jialu Wang *Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Li LiuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Yifei PeiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Ziyi LiuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Xue FengInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China. xfeng0413@icmm.ac.cn.
Xiwen LiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China. xwli@icmm.ac.cn.

Funding

Fundamental Research Funds for the Central public welfare research institutes of China ZXKT21026Fundamental Research Funds for the Central public welfare research institutes of China ZXKT23004Fundamental Research Funds for the Central public welfare research institutes of China ZZ15-YQ-033
6 · The paper itself

Abstract

key messageThe interaction network and pathway map uncover the potential crosstalk between sugar and hormone metabolisms as a possible reason for leaf senescence in P. ternata. Pinellia ternata, an environmentally sensitive medicinal plant, undergoes leaf senescence twice a year, affecting its development and yield. Understanding the potential mechanism that delays leaf senescence could theoretically decrease yield losses. In this study, a typical senescent population model was constructed, and an integrated analysis of transcriptomic and metabolomic profiles of P. ternata was conducted using two early leaf senescence populations and two stay-green populations. The result showed that two key gene modules were associated with leaf senescence which were mainly enriched in sugar and hormone signaling pathways, respectively. A network constructed by unigenes and metabolisms related to the obtained two pathways revealed that several compounds such as D-arabitol and 2MeScZR have a higher significance ranking. In addition, a total of 130 hub genes in this network were categorized into 3 classes based on connectivity. Among them, 34 hub genes were further analyzed through a pathway map, the potential crosstalk between sugar and hormone metabolisms might be an underlying reason of leaf senescence in P. ternata. These findings address the knowledge gap regarding leaf senescence in P. ternata, providing candidate germplasms for molecular breeding and laying theoretical basis for the realization of finely regulated cultivation in future.

Indexed as

Gene Expression Regulation, PlantMetabolomicsPinelliaPlant Growth RegulatorsPlant LeavesTranscriptomeCarbohydrate MetabolismGene Expression ProfilingGene Regulatory NetworksMetabolomePlant SenescenceSugarsPlant Growth RegulatorsSugarsHormone signalingLeaf senescencePinellia ternataSugar metabolism

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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.