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Ackah M, Jin X, Zhang Q, Amoako FK, Wang L, Attaribo T, Zhao M, Yuan F, Herman RA, Qiu C, Lin Q, Yin Z, Zhao W. Long noncoding RNA transcriptome analysis reveals novel lncRNAs in Morus alba 'Yu-711' response to drought stress. Plant Genome 2024; 17:e20273. [PMID: 36285722 DOI: 10.1002/tpg2.20273] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Drought stress has been a key environmental factor affecting plant growth and development. The plant genome is capable of producing long noncoding RNAs (lncRNAs). To better understand white mulberry (Morus alba L.) drought response mechanism, we conducted a comparative transcriptome study comparing two treatments: drought-stressed (EG) and well-watered (CK) plants. A total of 674 differentially expressed lncRNAs (DElncRNAs) were identified. In addition, 782 differentially expressed messenger RNAs (DEmRNAs) were identified. We conducted Gene Ontology (GO) and KEGG enrichment analyses focusing on the differential lncRNAs cis-target genes. The target genes of the DElncRNAs were most significantly involved in the biosynthesis of secondary metabolites. Gene regulatory networks of the target genes involving DElncRNAs-mRNAs-DEmRNAs and DElncRNA-miRNA-DEmRNA were constructed. In the DElncRNAs-DEmRNAs network, 30 DEmRNAs involved in the biosynthesis of secondary metabolites are collocated with 46 DElncRNAs. The interaction between DElncRNAs and candidate genes was identified using LncTar. In summary, quantitative real-time polymerase chain reaction (qRT-PCR) validated nine candidate genes and seven target lncRNAs including those identified by LncTar. We predicted that the DElncRNAs-DEmRNAs might recruit microRNAs (miRNAs) to interact with gene regulatory networks under the drought stress response in mulberry. The findings will contribute to our understanding of the regulatory functions of lncRNAs under drought stress and will shed new light on the mulberry-drought stress interactions.
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Affiliation(s)
- Michael Ackah
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu Univ. of Science and Technology, Zhenjiang, 212100, China
- School of Food and Biological Engineering, Jiangsu Univ., Zhenjiang, Jiangsu, 212013, People's Republic of China
| | - Xin Jin
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu Univ. of Science and Technology, Zhenjiang, 212100, China
| | - Qiaonan Zhang
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu Univ. of Science and Technology, Zhenjiang, 212100, China
| | - Frank Kwarteng Amoako
- Institute of Plant Nutrition and Soil Science, Kiel Univ., Hermann-Rodewald-Straße 2, Kiel, 24118, Germany
| | - Lei Wang
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu Univ. of Science and Technology, Zhenjiang, 212100, China
| | - Thomas Attaribo
- School of Agriculture, C. K. Tedam Univ. of Technology and Applied Sciences, Navrongo, UK-0215-5321, Ghana
| | - Mengdi Zhao
- Dep. of Materials Science and Engineering, Suzhou Univ. of Science and Technology, 99 Xuefu Road, Huqiu District, Suzhou, 215004, China
| | - Feng Yuan
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu Univ. of Science and Technology, Zhenjiang, 212100, China
| | - Richard Ansah Herman
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu Univ. of Science and Technology, Zhenjiang, 212100, China
| | - Changyu Qiu
- Sericultural Research Institute, Guangxi Zhuang Autonomous Region, Nanning, 530007, China
| | - Qiang Lin
- Sericultural Research Institute, Guangxi Zhuang Autonomous Region, Nanning, 530007, China
| | - Zhi Yin
- Nanjing Univ. of Finance & Economics, Nanjing, 210023, China
| | - Weiguo Zhao
- Jiangsu Key Laboratory of Sericultural Biology and Biotechnology, School of Biotechnology, Jiangsu Univ. of Science and Technology, Zhenjiang, 212100, China
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Yang J, Jiang Z, Xu Q, Liu X, Dai M, Li B, Wei J. Evaluation of suitable reference genes for expression analysis using quantitative real-time polymerase chain reaction in the parasitoid Exorista sorbillans (Diptera: Tachinidae). Arch Insect Biochem Physiol 2023; 113:e22009. [PMID: 36879498 DOI: 10.1002/arch.22009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 02/21/2023] [Accepted: 02/22/2023] [Indexed: 05/16/2023]
Abstract
The parasitoid Exorista sorbillans (Diptera: Tachinidae) is a larval endoparasitoid of the silkworm Bombyx mori, causing severe damage to silkworm cocoon industry. It is also an important natural enemy resource of insect pests in agriculture and forestry. Despite their roles in biocontrol and pest status on sericulture, there has been limited research on the functional studies of dipteran parasitoids. Quantitative real-time polymerase chain reaction (qRT-PCR) is the most commonly used to address gene functions. Using qRT-PCR, stably expressed reference genes under different experimental conditions are required to normalize the expression of target genes. However, no information regarding suitable qRT-PCR reference genes in dipteran parasitoids has been reported. In this study, we evaluate the expression stability of nine commonly used reference genes in insects including eukaryotic translation elongation factor 1δ (eEF1δ), elongation factor 2, 18S ribosomal RNA (18S rRNA), tubulin 3, actin87, ribosomal protein 49 (RP49), ribosomal protein S15, glyceraldehyde-3-phosphate dehydrogenase, and TATA-box binding protein (TBP) in E. sorbillans under different treatments, including tissues, developmental stages, genders, feeding density and pesticide stress, using ∆Ct , BestKeeper, geNorm, Normfinder and RefFinder, respectively. The results showed that the genes RP49, eEF1δ and 18S rRNA were recommended as the most suitable reference genes in E. sorbillans across all experimental conditions. This finding provides the necessary foundation for future functional studies in E. sorbillans and its effective use in both sericulture and pest control.
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Affiliation(s)
- Jin Yang
- School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Zhe Jiang
- School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Qian Xu
- School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Xinyi Liu
- School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Minli Dai
- School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu, China
| | - Bing Li
- School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu, China
- Sericulture Institute of Soochow University, Suzhou, Jiangsu, China
| | - Jing Wei
- School of Basic Medicine and Biological Sciences, Soochow University, Suzhou, Jiangsu, China
- Sericulture Institute of Soochow University, Suzhou, Jiangsu, China
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