» Articles » PMID: 31752684

Whole-transcriptome RNA Sequencing Reveals the Global Molecular Responses and CeRNA Regulatory Network of MRNAs, LncRNAs, MiRNAs and CircRNAs in Response to Copper Toxicity in Ziyang Xiangcheng (Citrus Junos Sieb. Ex Tanaka)

Overview
Journal BMC Plant Biol
Publisher Biomed Central
Specialty Biology
Date 2019 Nov 23
PMID 31752684
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Copper (Cu) toxicity has become a potential threat for citrus production, but little is known about related mechanisms. This study aims to uncover the global landscape of mRNAs, long non-coding RNAs (lncRNAs), circular RNAs (circRNAs) and microRNAs (miRNAs) in response to Cu toxicity so as to construct a regulatory network of competing endogenous RNAs (ceRNAs) and to provide valuable knowledge pertinent to Cu response in citrus.

Results: Tolerance of four commonly used rootstocks to Cu toxicity was evaluated, and 'Ziyang Xiangcheng' (Citrus junos) was found to be the most tolerant genotype. Then the roots and leaves sampled from 'Ziyang Xiangcheng' with or without Cu treatment were used for whole-transcriptome sequencing. In total, 5734 and 222 mRNAs, 164 and 5 lncRNAs, 45 and 17 circRNAs, and 147 and 130 miRNAs were identified to be differentially expressed (DE) in Cu-treated roots and leaves, respectively, in comparison with the control. Gene ontology enrichment analysis showed that most of the DEmRNAs and targets of DElncRNAs and DEmiRNAs were annotated to the categories of 'oxidation-reduction', 'phosphorylation', 'membrane', and 'ion binding'. The ceRNA network was then constructed with the predicted pairs of DEmRNAs-DEmiRNAs and DElncRNAs-DEmiRNAs, which further revealed regulatory roles of these DERNAs in Cu toxicity.

Conclusions: A large number of mRNAs, lncRNAs, circRNAs, and miRNAs in 'Ziyang Xiangcheng' were altered in response to Cu toxicity, which may play crucial roles in mitigation of Cu toxicity through the ceRNA regulatory network in this Cu-tolerant rootstock.

Citing Articles

Identification and Network Construction of mRNAs, miRNAs, lncRNAs, and circRNAs in Sweetpotato ( L.) Adventitious Roots Under Salt Stress via Whole-Transcriptome RNA Sequencing.

Jiang B, Li Y, Shi J, Chalasa D, Zhang L, Wu S Int J Mol Sci. 2025; 26(4).

PMID: 40004124 PMC: 11854956. DOI: 10.3390/ijms26041660.


Viroids and Retrozymes: Plant Circular RNAs Capable of Autonomous Replication.

Lezzhov A, Atabekova A, Chergintsev D, Lazareva E, Solovyev A, Morozov S Plants (Basel). 2025; 14(1.

PMID: 39795321 PMC: 11722881. DOI: 10.3390/plants14010061.


Mechanisms by Which Increased pH Ameliorates Copper Excess in Roots: Insight from a Combined Analysis of Physiology, Transcriptome, and Metabolome.

Zhang J, Huang W, Chen W, Rao R, Lai N, Huang Z Plants (Basel). 2024; 13(21).

PMID: 39519972 PMC: 11548300. DOI: 10.3390/plants13213054.


In-depth transcriptome profiling of Cherry Valley duck lungs exposed to chronic heat stress.

Liu Y, Sun D, Xu C, Liu X, Tang M, Ying S Front Vet Sci. 2024; 11:1417244.

PMID: 39104549 PMC: 11298465. DOI: 10.3389/fvets.2024.1417244.


Advances in CircRNAs in the Past Decade: Review of CircRNAs Biogenesis, Regulatory Mechanisms, and Functions in Plants.

Zhang D, Ma Y, Naz M, Ahmed N, Zhang L, Zhou J Genes (Basel). 2024; 15(7).

PMID: 39062737 PMC: 11276256. DOI: 10.3390/genes15070958.


References
1.
Yeh C, Hsiao L, Huang H . Cadmium activates a mitogen-activated protein kinase gene and MBP kinases in rice. Plant Cell Physiol. 2004; 45(9):1306-12. DOI: 10.1093/pcp/pch135. View

2.
Liang W, Fu W, Wong C, Wang Y, Wang W, Hu G . The lncRNA H19 promotes epithelial to mesenchymal transition by functioning as miRNA sponges in colorectal cancer. Oncotarget. 2015; 6(26):22513-25. PMC: 4673179. DOI: 10.18632/oncotarget.4154. View

3.
Pilon M . The copper microRNAs. New Phytol. 2016; 213(3):1030-1035. DOI: 10.1111/nph.14244. View

4.
Quinn J, Chang H . Unique features of long non-coding RNA biogenesis and function. Nat Rev Genet. 2015; 17(1):47-62. DOI: 10.1038/nrg.2015.10. View

5.
Zhu M, Zhang M, Xing L, Li W, Jiang H, Wang L . Transcriptomic Analysis of Long Non-Coding RNAs and Coding Genes Uncovers a Complex Regulatory Network That Is Involved in Maize Seed Development. Genes (Basel). 2017; 8(10). PMC: 5664124. DOI: 10.3390/genes8100274. View