Evidence map›Paper›PMID 37633894›Full record

ArticleBMC genomics2023

Integrated analyses of metabolomics and transcriptomics reveal the potential regulatory roles of long non-coding RNAs in gingerol biosynthesis.

Wenlin Zhang, Yang Yang, Xuedong Zhu, Suyu Yang, Ximei Liao, Honglei Li, Zhexin Li, Qinhong Liao, Jianmin Tang, Guohua Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Wenlin Zhang *Chongqing Key Laboratory of Economic Plant Biotechnology, College of Landscape Architecture and Life Science/Institute of Special Plants, Chongqing University of Arts and Sciences, Yongchuan, 402160, China.
Yang Yang *Chongqing Key Laboratory of Biology and Genetic Breeding for Tuber and Root Crops, College of Agronomy and Biotechnology, Southwest University, Beibei, 400715, China.
Xuedong Zhu *Southeast Chongqing Academy of Agricultural Sciences, Fuling, 408000, China.
Suyu YangChongqing Key Laboratory of Biology and Genetic Breeding for Tuber and Root Crops, College of Agronomy and Biotechnology, Southwest University, Beibei, 400715, China.
Ximei LiaoChongqing Key Laboratory of Biology and Genetic Breeding for Tuber and Root Crops, College of Agronomy and Biotechnology, Southwest University, Beibei, 400715, China.
Honglei LiChongqing Key Laboratory of Economic Plant Biotechnology, College of Landscape Architecture and Life Science/Institute of Special Plants, Chongqing University of Arts and Sciences, Yongchuan, 402160, China.
Zhexin LiChongqing Key Laboratory of Economic Plant Biotechnology, College of Landscape Architecture and Life Science/Institute of Special Plants, Chongqing University of Arts and Sciences, Yongchuan, 402160, China.
Qinhong LiaoChongqing Key Laboratory of Economic Plant Biotechnology, College of Landscape Architecture and Life Science/Institute of Special Plants, Chongqing University of Arts and Sciences, Yongchuan, 402160, China.
Jianmin TangChongqing Key Laboratory of Economic Plant Biotechnology, College of Landscape Architecture and Life Science/Institute of Special Plants, Chongqing University of Arts and Sciences, Yongchuan, 402160, China. tangjmjy@163.com.
Guohua ZhaoCollege of Food Science, Southwest University, Beibei, 400715, China. zhaogh@swu.edu.cn.
Lin WuChongqing Key Laboratory of Biology and Genetic Breeding for Tuber and Root Crops, College of Agronomy and Biotechnology, Southwest University, Beibei, 400715, China. wulin2022@swu.edu.cn.
Chongqing University of Arts and Sciences · CNSouthwest University · CNChongqing Academy of Agricultural Sciences · CN

Funding

Chongqing Municipal Technology Innovation and Application Development Project cstc2019jscx-dxwtBX0028he Science and Technology Project of Chongqing Municipal Education Commission KJZD-M202101301Special Grant for Chongqing Postdoctoral Researcher Research Project 2021XM3050the Chongqing University of Arts and Sciences Natural Science Major Cultivation Project P2022LS14the Science and Technology Project of Chongqing Municipal Education Commission KJZD-K202001304
6 · The paper itself

Abstract

backgroundAs the characteristic functional component in ginger, gingerols possess several health-promoting properties. Long non-coding RNAs (lncRNAs) act as crucial regulators of diverse biological processes. However, lncRNAs in ginger are not yet identified so far, and their potential roles in gingerol biosynthesis are still unknown. In this study, metabolomic and transcriptomic analyses were performed in three main ginger cultivars (leshanhuangjiang, tonglingbaijiang, and yujiang 1 hao) in China to understand the potential roles of the specific lncRNAs in gingerol accumulation.

resultsA total of 744 metabolites were monitored by metabolomics analysis, which were divided into eleven categories. Among them, the largest group phenolic acid category contained 143 metabolites, including 21 gingerol derivatives. Of which, three gingerol analogs, [8]-shogaol, [10]-gingerol, and [12]-shogaol, accumulated significantly. Moreover, 16,346 lncRNAs, including 2,513, 1,225, and 2,884 differentially expressed (DE) lncRNA genes (DELs), were identified in all three comparisons by transcriptomic analysis. Gene ontology enrichment (GO) analysis showed that the DELs mainly enriched in the secondary metabolite biosynthetic process, response to plant hormones, and phenol-containing compound metabolic process. Correlation analysis revealed that the expression levels of 11 DE gingerol biosynthesis enzyme genes (GBEGs) and 190 transcription factor genes (TF genes), such as MYB1, ERF100, WRKY40, etc. were strongly correlation coefficient with the contents of the three gingerol analogs. Furthermore, 7 and 111 upstream cis-acting lncRNAs, 1,200 and 2,225 upstream trans-acting lncRNAs corresponding to the GBEGs and TF genes were identified, respectively. Interestingly, 1,184 DELs might function as common upstream regulators to these GBEGs and TFs genes, such as LNC_008452, LNC_006109, LNC_004340, etc. Furthermore, protein-protein interaction networks (PPI) analysis indicated that three TF proteins, MYB4, MYB43, and WRKY70 might interact with four GBEG proteins (PAL1, PAL2, PAL3, and 4CL-4).

conclusionBased on these findings, we for the first time worldwide proposed a putative regulatory cascade of lncRNAs, TFs genes, and GBEGs involved in controlling of gingerol biosynthesis. These results not only provide novel insights into the lncRNAs involved in gingerol metabolism, but also lay a foundation for future in-depth studies of the related molecular mechanism.

Indexed as

RNA, Long NoncodingZingiber officinaleCatecholsFatty AlcoholsMetabolomicsTranscriptomeCatecholsFatty AlcoholsgingerolRNA, Long NoncodingshogaolGingerGingerol biosynthesisLong non-coding RNAsMetabolomicsTranscriptomics

Identifiers

PMID37633894
PMCPMC10464350
OpenAlexW4386192029

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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.