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Liu G, Fu D, Duan X, Zhou J, Chang H, Xu R, Wang B, Wang Y. Integrated Metabolome, Transcriptome and Long Non-Coding RNA Analysis Reveals Potential Molecular Mechanisms of Sweet Cherry Fruit Ripening. Int J Mol Sci 2024; 25:9860. [PMID: 39337346 PMCID: PMC11432518 DOI: 10.3390/ijms25189860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 08/29/2024] [Accepted: 09/10/2024] [Indexed: 09/30/2024] Open
Abstract
Long non-coding RNAs (lncRNAs), a class of important regulatory factors for many biological processes in plants, have received much attention in recent years. To explore the molecular roles of lncRNAs in sweet cherry fruit ripening, we conducted widely targeted metabolome, transcriptome and lncRNA analyses of sweet cherry fruit at three ripening stages (yellow stage, pink stage, and dark red stage). The results show that the ripening of sweet cherry fruit involves substantial metabolic changes, and the rapid accumulation of anthocyanins (cyanidin 3-rutinoside, cyanidin 3-O-galactoside, and cyanidin 3-O-glucoside) is the main cause of fruit coloration. These ripening-related alterations in the metabolic profile are driven by specific enzyme genes related to the synthesis and decomposition of abscisic acid (ABA), cell wall disintegration, and anthocyanin biosynthesis, as well as transcription factor genes, such as MYBs, bHLHs, and WD40s. LncRNAs can target these ripening-related genes to form regulatory modules, incorporated into the sweet cherry fruit ripening regulatory network. Our study reveals that the lncRNA-mRNA module is an important component of the sweet cherry fruit ripening regulatory network. During sweet cherry fruit ripening, the differential expression of lncRNAs will meditate the spatio-temporal specific expression of ripening-related target genes (encoding enzymes and transcription factors related to ABA metabolism, cell wall metabolism and anthocyanin metabolism), thus driving fruit ripening.
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Affiliation(s)
- Gangshuai Liu
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (G.L.); (J.Z.); (H.C.); (R.X.)
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China;
| | - Daqi Fu
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China;
| | - Xuwei Duan
- Institute of Forestry and Pomology Sciences, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China;
| | - Jiahua Zhou
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (G.L.); (J.Z.); (H.C.); (R.X.)
| | - Hong Chang
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (G.L.); (J.Z.); (H.C.); (R.X.)
| | - Ranran Xu
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (G.L.); (J.Z.); (H.C.); (R.X.)
| | - Baogang Wang
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (G.L.); (J.Z.); (H.C.); (R.X.)
| | - Yunxiang Wang
- Institute of Agri-Food Processing and Nutrition, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (G.L.); (J.Z.); (H.C.); (R.X.)
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Zhang D, Ma Y, Naz M, Ahmed N, Zhang L, Zhou JJ, Yang D, Chen Z. Advances in CircRNAs in the Past Decade: Review of CircRNAs Biogenesis, Regulatory Mechanisms, and Functions in Plants. Genes (Basel) 2024; 15:958. [PMID: 39062737 PMCID: PMC11276256 DOI: 10.3390/genes15070958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2024] [Revised: 07/12/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open
Abstract
Circular RNA (circRNA) is a type of non-coding RNA with multiple biological functions. Whole circRNA genomes in plants have been identified, and circRNAs have been demonstrated to be widely present and highly expressed in various plant tissues and organs. CircRNAs are highly stable and conserved in plants, and exhibit tissue specificity and developmental stage specificity. CircRNAs often interact with other biomolecules, such as miRNAs and proteins, thereby regulating gene expression, interfering with gene function, and affecting plant growth and development or response to environmental stress. CircRNAs are less studied in plants than in animals, and their regulatory mechanisms of biogenesis and molecular functions are not fully understood. A variety of circRNAs in plants are involved in regulating growth and development and responding to environmental stress. This review focuses on the biogenesis and regulatory mechanisms of circRNAs, as well as their biological functions during growth, development, and stress responses in plants, including a discussion of plant circRNA research prospects. Understanding the generation and regulatory mechanisms of circRNAs is a challenging but important topic in the field of circRNAs in plants, as it can provide insights into plant life activities and their response mechanisms to biotic or abiotic stresses as well as new strategies for plant molecular breeding and pest control.
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Affiliation(s)
- Dongqin Zhang
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Yue Ma
- College of Agriculture, Guizhou University, Guiyang 550025, China;
| | - Misbah Naz
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Nazeer Ahmed
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Libo Zhang
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Jing-Jiang Zhou
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
- Medical Research Council Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, UK
| | - Ding Yang
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
| | - Zhuo Chen
- Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Guiyang 550025, China; (D.Z.); (M.N.); (N.A.); (L.Z.); (J.-J.Z.); (D.Y.)
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Imaduwage I, Hewadikaram M. Predicted roles of long non-coding RNAs in abiotic stress tolerance responses of plants. MOLECULAR HORTICULTURE 2024; 4:20. [PMID: 38745264 PMCID: PMC11094901 DOI: 10.1186/s43897-024-00094-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 04/06/2024] [Indexed: 05/16/2024]
Abstract
The plant genome exhibits a significant amount of transcriptional activity, with most of the resulting transcripts lacking protein-coding potential. Non-coding RNAs play a pivotal role in the development and regulatory processes in plants. Long non-coding RNAs (lncRNAs), which exceed 200 nucleotides, may play a significant role in enhancing plant resilience to various abiotic stresses, such as excessive heat, drought, cold, and salinity. In addition, the exogenous application of chemicals, such as abscisic acid and salicylic acid, can augment plant defense responses against abiotic stress. While how lncRNAs play a role in abiotic stress tolerance is relatively well-studied in model plants, this review provides a comprehensive overview of the current understanding of this function in horticultural crop plants. It also delves into the potential role of lncRNAs in chemical priming of plants in order to acquire abiotic stress tolerance, although many limitations exist in proving lncRNA functionality under such conditions.
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Affiliation(s)
- Iuh Imaduwage
- Department of Biomedical Sciences, Faculty of Science, NSBM Green University, Pitipana, Homagama, Sri Lanka
| | - Madhavi Hewadikaram
- Department of Biomedical Sciences, Faculty of Science, NSBM Green University, Pitipana, Homagama, Sri Lanka.
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Zhao Y, Shi J, Feng B, Yuan S, Yue X, Shi W, Yan Z, Xu D, Zuo J, Wang Q. Multi-omic analysis of the extension of broccoli quality during storage by folic acid. J Adv Res 2024; 59:65-78. [PMID: 37406731 PMCID: PMC11081962 DOI: 10.1016/j.jare.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 06/28/2023] [Accepted: 07/01/2023] [Indexed: 07/07/2023] Open
Abstract
INTRODUCTION Folic acid (FA) is a critical metabolite in all living organisms and an important nutritional component of broccoli. Few studies have been conducted on the impact of an exogenous application of FA on the postharvest physiology of fruits and vegetables during storage. In this regard, the mechanism by which an exogenous application of FA extends the postharvest quality of broccoli is unclear. OBJECTIVE This study utilized a multicomponent analysis to investigate how an exogenous application of FA effects the postharvest quality of broccoli. METHODS Broccoli was soaked in 5 mg/L FA for 10 min and the effect of the treatment on the appearance and nutritional quality of broccoli was evaluated. These data were combined with transcriptomic, metabolomic, and DNA methylation data to provide insight into the potential mechanism by which FA delays senescence. RESULTS The FA treatment inhibited the yellowing of broccoli during storage. CHH methylation was identified as the main type of methylation that occurs in broccoli and the FA treatment was found to inhibit DNA methylation, promote the accumulation of endogenous FA and chlorophyl, and inhibit ethylene biosynthesis in stored broccoli. The FA treatment also prevented the formation of off-odors by inhibiting the degradation of glucosinolate. CONCLUSIONS FA treatment inhibited the loss of nutrients during the storage of broccoli, delayed its yellowing, and inhibited the generation of off-odors. Our study provides deeper insight into the mechanism by which the postharvest application of FA delays postharvest senescence in broccoli and provides the foundation for further studies of postharvest metabolism in broccoli.
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Affiliation(s)
- Yaqi Zhao
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China; State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Beijing 100081, China; College of Agriculture, Guangxi University, Nanning 530004, China
| | - Junyan Shi
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Bihong Feng
- College of Agriculture, Guangxi University, Nanning 530004, China
| | - Shuzhi Yuan
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Xiaozhen Yue
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Wenlin Shi
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China; College of Agriculture, Guangxi University, Nanning 530004, China
| | - Zhicheng Yan
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Dongying Xu
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China
| | - Jinhua Zuo
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
| | - Qing Wang
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Institute of Agri-food Processing and Nutrition, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
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Das P, Chandra T, Negi A, Jaiswal S, Iquebal MA, Rai A, Kumar D. A comprehensive review on genomic resources in medicinally and industrially important major spices for future breeding programs: Status, utility and challenges. Curr Res Food Sci 2023; 7:100579. [PMID: 37701635 PMCID: PMC10494321 DOI: 10.1016/j.crfs.2023.100579] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 08/21/2023] [Accepted: 08/26/2023] [Indexed: 09/14/2023] Open
Abstract
In the global market, spices possess a high-value but low-volume commodities of commerce. The food industry depends largely on spices for taste, flavor, and therapeutic properties in replacement of cheap synthetic ones. The estimated growth rate for spices demand in the world is ∼3.19%. Since spices grow in limited geographical regions, India is one of the leading producer of spices, contributing 25-30 percent of total world trade. Hitherto, there has been no comprehensive review of the genomic resources of industrially important major medicinal spices to overcome major impediments in varietal improvement and management. This review focuses on currently available genomic resources of 24 commercially significant spices, namely, Ajwain, Allspice, Asafoetida, Black pepper, Cardamom large, Cardamom small, Celery, Chillies, Cinnamon, Clove, Coriander, Cumin, Curry leaf, Dill seed, Fennel, Fenugreek, Garlic, Ginger, Mint, Nutmeg, Saffron, Tamarind, Turmeric and Vanilla. The advent of low-cost sequencing machines has contributed immensely to the voluminous data generation of these spices, cracking the complex genomic architecture, marker discovery, and understanding comparative and functional genomics. This review of spice genomics resources concludes the perspective and way forward to provide footprints by uncovering genome assemblies, sequencing and re-sequencing projects, transcriptome-based studies, non-coding RNA-mediated regulation, organelles-based resources, developed molecular markers, web resources, databases and AI-directed resources in candidate spices for enhanced breeding potential in them. Further, their integration with molecular breeding could be of immense use in formulating a strategy to protect and expand the production of the spices due to increased global demand.
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Affiliation(s)
- Parinita Das
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Tilak Chandra
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Ankita Negi
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sarika Jaiswal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anil Rai
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dinesh Kumar
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India
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Liu R, Ma Y, Guo T, Li G. Identification, biogenesis, function, and mechanism of action of circular RNAs in plants. PLANT COMMUNICATIONS 2023; 4:100430. [PMID: 36081344 PMCID: PMC9860190 DOI: 10.1016/j.xplc.2022.100430] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 06/15/2023]
Abstract
Circular RNAs (circRNAs) are a class of single-stranded, closed RNA molecules with unique functions that are ubiquitously expressed in all eukaryotes. The biogenesis of circRNAs is regulated by specific cis-acting elements and trans-acting factors in humans and animals. circRNAs mainly exert their biological functions by acting as microRNA sponges, forming R-loops, interacting with RNA-binding proteins, or being translated into polypeptides or proteins in human and animal cells. Genome-wide identification of circRNAs has been performed in multiple plant species, and the results suggest that circRNAs are abundant and ubiquitously expressed in plants. There is emerging compelling evidence to suggest that circRNAs play essential roles during plant growth and development as well as in the responses to biotic and abiotic stress. However, compared with recent advances in human and animal systems, the roles of most circRNAs in plants are unclear at present. Here we review the identification, biogenesis, function, and mechanism of action of plant circRNAs, which will provide a fundamental understanding of the characteristics and complexity of circRNAs in plants.
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Affiliation(s)
- Ruiqi Liu
- Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
| | - Yu Ma
- Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China
| | - Tao Guo
- State Key Laboratory of Crop Stress Biology for Arid Areas and Institute of Future Agriculture, Northwest A&F University, Yangling, Shaanxi 712100, China.
| | - Guanglin Li
- Key Laboratory of Ministry of Education for Medicinal Plant Resource and Natural Pharmaceutical Chemistry, National Engineering Laboratory for Resource Development of Endangered Crude Drugs in Northwest China, College of Life Sciences, Shaanxi Normal University, Xi'an, Shaanxi 710119, China.
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Identification and Characterization of Circular RNAs Involved in the Flower Development and Senescence of Rhododendron delavayi Franch. Int J Mol Sci 2022; 23:ijms231911214. [PMID: 36232515 PMCID: PMC9569710 DOI: 10.3390/ijms231911214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/14/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Floral development and senescence are a crucial determinant for economic and ornamental value. CircRNAs play an essential role in regulating plant growth and development; however, there is no systematic identification of circRNAs during the lifespan of flowers. This study aims to explore the expression profile and functional role of circRNAs in the full flowering stages of Rhododendron delavayi Franch. We carried out transcriptome sequencing of the six stages of Rhododendron delavayi Franch flowers to identify the circular RNA expression profile. In addition, using bioinformatics methods, we explored the functions of circRNAs, including analysis of the circRNA-miRNA-mRNA network, short time-series expression miner (STEM), and so on. We identified 146 circRNAs, of which 79 were differentially expressed from the budding to fading stages. Furthermore, using STEM analysis, one of the 42 circRNA expression model profiles was significantly upregulated during the senescence stage, including 16 circRNAs. Additionally, 7 circRNA-miRNA-mRNA networks were constructed with 10 differentially expressed circRNAs, in which some target mRNA may regulate the development and senescence of the Rhododendron flowers. Finally, by analyzing the correlation between circRNAs and mRNA, combined with existing reports, we proposed that circRNAs play a regulatory role during flower development and senescence by mediating the jasmonate signaling pathway. Overall, these results provide new clues to the potential mechanism of circRNAs acting as novel post-transcriptional regulators in the development and senescence process of flowers.
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Zhao L, Pan Y, Wang M, Wang J, Wang Y, Han X, Wang J, Zhang T, Zhao T, He H, Cui Y, Yu S. Integrated analysis of the expression profiles of the lncRNA-miRNA-mRNA ceRNA network in granulosa and cumulus cells from yak ovaries. BMC Genomics 2022; 23:633. [PMID: 36057545 PMCID: PMC9441039 DOI: 10.1186/s12864-022-08848-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/16/2022] [Indexed: 11/10/2022] Open
Abstract
Background Growing oocytes acquire the ability to mature through two-way communication between gametes and surrounding somatic cumulus cells (CCs). Granulosa cells (GCs) support oocyte growth, regulate meiosis progression, and modulate global oocyte transcription activity. However, the proliferation and differentiation of the yak ovary in GCs and CCs remain unclear. To characterize the important roles of long non-coding RNA, (lncRNA), microRNA (miRNA), and messenger RNA (mRNA), whole-transcriptome analysis was performed. Real-time quantitative fluorescence PCR was performed to verify the selected RNA sequences. Results Important gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways related to differentiation and oocyte development were identified for the target genes of differentially expressed lncRNAs, miRNAs, and mRNAs. In total,6223 mRNAs (2197 upregulated, 4026 downregulated), 643 lncRNAs (204 upregulated, 479 downregulated), and 559 miRNAs (311 upregulated, 248 downregulated) were significantly altered between the two groups. Target genes involved in cell adhesion, cell differentiation, regulation of developmental processes, cell proliferation, embryo development, signal transduction, apoptosis, and aromatic compound biosynthetic processes were significantly enriched. These RNAs were involved in ECM-receptor interaction, MAPK signaling, Hippo signaling, PI3K-Akt signaling, cell cycle, cell adhesion, leukocyte trans-endothelial migration, and actin cytoskeleton regulation. Conclusions A comprehensive analysis of the co-expression network of competing endogenous RNAs (ceRNAs) will facilitate the understanding of the process of granulosa cell proliferation and differentiation and offer a theoretical basis for the development of oocytes. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08848-3.
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Affiliation(s)
- Ling Zhao
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Yangyang Pan
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Meng Wang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Junqian Wang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Yaying Wang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Xiaohong Han
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Jinglei Wang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Tongxiang Zhang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Tian Zhao
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Honghong He
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Yan Cui
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China
| | - Sijiu Yu
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China. .,Gansu Province Livestock Embryo Engineering Research Center, College of Veterinary Medicine, Lanzhou, 730070, China.
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Wang F, Liu J, Zeng Q, Zhuoga D. Comparative analysis of long noncoding RNA and mRNA expression provides insights into adaptation to hypoxia in Tibetan sheep. Sci Rep 2022; 12:6597. [PMID: 35449433 PMCID: PMC9023463 DOI: 10.1038/s41598-022-08625-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 03/03/2022] [Indexed: 01/21/2023] Open
Abstract
Tibetan sheep have lived on the Qinghai-Tibetan Plateau for thousands of years and have good adaptability to the hypoxic environment and strong disease resistance. However, the molecular mechanism by which Tibetan sheep adapt to this extreme environment, especially the role of genetic regulation, is still unknown. Emerging evidence suggests that long noncoding RNAs (lncRNAs) participate in the regulation of a diverse range of biological processes. To explore the potential lncRNAs involved in the adaptation to high-altitude hypoxia of Tibetan sheep, we analysed the expression profile of lncRNAs and mRNAs in the liver and lung tissues of sheep using comparative transcriptome analysis between four Tibetan sheep populations (high altitude) and one Hu sheep population (low altitude). The results showed a total of 7848 differentially expressed (DE) lncRNA transcripts, and 22,971 DE mRNA transcripts were detected by pairwise comparison. The expression patterns of selected mRNAs and lncRNAs were validated by qRT-PCR, and the results correlated well with the transcriptome data. Moreover, the functional annotation analysis based on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases showed that DE mRNAs and the target genes of the lncRNAs were significantly enriched in organ morphogenesis, response to stimulus, haem binding, the immune system, arginine and proline metabolism, and fatty acid biosynthesis. The prediction of mRNA–mRNA and lncRNA–mRNA interaction networks further revealed transcripts potentially involved in adaptation to high-altitude hypoxia, and the hub genes DDX24, PDCD11, EIF4A3, NDUFA11, SART1, PRPF8 and TCONS_00306477, TCONS_00306029, TCONS_00139593, TCONS_00293272, and TCONS_00313398 were selected. Additionally, a set of target genes, PIK3R1, IGF1R, FZD6, IFNB2, ATF3, MB, CYP2B4, PSMD13, and TGFB1, were also identified as candidate genes associated with high-altitude hypoxia adaptation. In conclusion, a collection of novel expressed lncRNAs, a set of target genes and biological pathways known to be relevant for altitude adaptation were identified by comparative transcriptome analysis between Tibetan sheep and Hu sheep. Our results are the first to identify the characterization and expression profile of lncRNAs between Tibetan sheep and Hu sheep and provide insights into the genetic regulation mechanisms by which Tibetan sheep adapt to high-altitude hypoxic environments.
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Affiliation(s)
- Fan Wang
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China.,China Agricultural Veterinary Biological Science and Technology Co., Ltd., Lanzhou, 730046, China
| | - Jianbin Liu
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China.,Sheep Breeding Engineering Technology Research Center, Chinese Academy of Agricultural Sciences, Lanzhou, 730050, China
| | - Qiaoying Zeng
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou, 730070, China.
| | - Deqing Zhuoga
- Institute of Livestock Research, Tibet Academy of Agriculture and Animal Science, Lhasa, 850000, China.
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NGS Methodologies and Computational Algorithms for the Prediction and Analysis of Plant Circular RNAs. Methods Mol Biol 2021; 2362:119-145. [PMID: 34195961 DOI: 10.1007/978-1-0716-1645-1_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Circular RNAs (circRNAs) are a class of single-stranded RNAs derived from exonic, intronic, and intergenic regions from precursor messenger RNAs (pre-mRNA), where a noncanonical back-splicing event occurs, in which the 5' and 3' ends are attached by covalent bond. CircRNAs participate in the regulation of gene expression at the transcriptional and posttranscriptional level primarily as miRNA and RNA-binding protein (RBP) sponges, but also involved in the regulation of alternative RNA splicing and transcription. CircRNAs are widespread and abundant in plants where they have been involved in stress responses and development. Through the analysis of all publications in this field in the last five years, we can summarize that the identification of these molecules is carried out through next generation sequencing studies, where samples have been previously treated to eliminate DNA, rRNA, and linear RNAs as a means to enrich circRNAs. Once libraries are prepared, they are sequenced and subsequently studied from a bioinformatics point of view. Among the different tools for identifying circRNAs, we can highlight CIRI as the most used (in 60% of the published studies), as well as CIRCExplorer (20%) and find_circ (20%). Although it is recommended to use more than one program in combination, and preferably developed specifically to treat with plant samples, this is not always the case. It should also be noted that after identifying these circular RNAs, most of the authors validate their findings in the laboratory in order to obtain bona fide results.
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Zhang Y, Su W, Zhang B, Ling Y, Kim WK, Zhang H. Comprehensive analysis of coding and non-coding RNA transcriptomes related to hypoxic adaptation in Tibetan chickens. J Anim Sci Biotechnol 2021; 12:60. [PMID: 33934713 PMCID: PMC8091548 DOI: 10.1186/s40104-021-00582-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 03/08/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Tibetan chickens, a unique native breed in the Qinghai-Tibet Plateau of China, possess a suite of adaptive features that enable them to tolerate the high-altitude hypoxic environment. Increasing evidence suggests that long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) play roles in the hypoxic adaptation of high-altitude animals, although their exact involvement remains unclear. RESULTS This study aimed to elucidate the global landscape of mRNAs, lncRNAs, and miRNAs using transcriptome sequencing to construct a regulatory network of competing endogenous RNAs (ceRNAs) and thus provide insights into the hypoxic adaptation of Tibetan chicken embryos. In total, 354 differentially expressed genes (DE genes), 389 differentially expressed lncRNAs (DE lncRNAs), and 73 differentially expressed miRNAs (DE miRNAs) were identified between Tibetan chickens (TC) and control Chahua chickens (CH). GO and KEGG enrichment analysis revealed that several important DE miRNAs and their target DE lncRNAs and DE genes are involved in angiogenesis (including blood vessel development and blood circulation) and energy metabolism (including glucose, carbohydrate, and lipid metabolism). The ceRNA network was then constructed with the predicted DE gene-DE miRNA-DE lncRNA interactions, which further revealed the regulatory roles of these differentially expressed RNAs during hypoxic adaptation of Tibetan chickens. CONCLUSIONS Analysis of transcriptomic data revealed several key candidate ceRNAs that may play high-priority roles in the hypoxic adaptation of Tibetan chickens by regulating angiogenesis and energy metabolism. These results provide insights into the molecular mechanisms of hypoxic adaptation regulatory networks from the perspective of coding and non-coding RNAs.
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Affiliation(s)
- Ying Zhang
- National Engineering Laboratory for Animal Breeding, Plateau Animal Genetic Resources Center, China Agricultural University, No. 2 Yuanmingyuan West Rd, Haidian District, Beijing, 100193, China
| | - Woyu Su
- National Engineering Laboratory for Animal Breeding, Plateau Animal Genetic Resources Center, China Agricultural University, No. 2 Yuanmingyuan West Rd, Haidian District, Beijing, 100193, China
| | - Bo Zhang
- National Engineering Laboratory for Animal Breeding, Plateau Animal Genetic Resources Center, China Agricultural University, No. 2 Yuanmingyuan West Rd, Haidian District, Beijing, 100193, China
| | - Yao Ling
- National Engineering Laboratory for Animal Breeding, Plateau Animal Genetic Resources Center, China Agricultural University, No. 2 Yuanmingyuan West Rd, Haidian District, Beijing, 100193, China
| | - Woo Kyun Kim
- Department of Poultry Science, University of Georgia, 303 Poultry Science Building, Athens, GA, 30602, USA.
| | - Hao Zhang
- National Engineering Laboratory for Animal Breeding, Plateau Animal Genetic Resources Center, China Agricultural University, No. 2 Yuanmingyuan West Rd, Haidian District, Beijing, 100193, China.
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12
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Baruah PM, Krishnatreya DB, Bordoloi KS, Gill SS, Agarwala N. Genome wide identification and characterization of abiotic stress responsive lncRNAs in Capsicum annuum. PLANT PHYSIOLOGY AND BIOCHEMISTRY : PPB 2021; 162:221-236. [PMID: 33706183 DOI: 10.1016/j.plaphy.2021.02.031] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/22/2021] [Indexed: 05/25/2023]
Abstract
Long non-coding RNAs (lncRNAs) are a type of non-coding transcripts having length of more than 200 nucleotides lacking protein-coding ability. In the present study, 12807 lncRNAs were identified in Capsicum annuum tissues exposed to abiotic stress conditions viz. heat, cold, osmotic and salinity stress. Expression analysis of lncRNAs in different treatment conditions demonstrates their stress-specific expression. Thirty lncRNAs were found to act as precursors for 10 microRNAs (miRNAs) of C. annuum. Additionally, a total of 1807 lncRNAs were found to interact with 194 miRNAs which targeted 621 mRNAs of C. annuum. Among these, 344 lncRNAs were found to act as target mimics for 621 genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that out of those 621 gene sequences, 546 were tagged with GO terms, 105 Enzyme Code (EC) numbers were assigned to 246 genes and 223 genes are found to be involved in 63 biological pathways. In this report, we have highlighted the prospective role of lncRNAs in different abiotic stress conditions by interacting with miRNAs and regulating stress responsive transcription factors (TFs) such as DoF, WRKY, MYB, bZIP and ERF in C. annuum.
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Affiliation(s)
- Pooja Moni Baruah
- Department of Botany, Gauhati University, Jalukbari, Guwahati, Assam, 781014, India
| | | | | | - Sarvajeet Singh Gill
- Centre for Biotechnology, Maharshi Dayanand University, Rohtak, Haryana, 124 001, India
| | - Niraj Agarwala
- Department of Botany, Gauhati University, Jalukbari, Guwahati, Assam, 781014, India.
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13
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Gao S, Wang F, Niran J, Li N, Yin Y, Yu C, Jiao C, Yao M. Transcriptome analysis reveals defense-related genes and pathways against Xanthomonas campestris pv. vesicatoria in pepper (Capsicum annuum L.). PLoS One 2021; 16:e0240279. [PMID: 33705404 PMCID: PMC7951875 DOI: 10.1371/journal.pone.0240279] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Accepted: 02/20/2021] [Indexed: 11/21/2022] Open
Abstract
Bacterial spot (BS), incited by Xanthomonas campestris pv. vesicatoria (Xcv), is one of the most serious diseases of pepper. For a comparative analysis of defense responses to Xcv infection, we performed a transcriptomic analysis of a susceptible cultivar, ECW, and a resistant cultivar, VI037601, using the HiSeqTM 2500 sequencing platform. Approximately 120.23 G clean bases were generated from 18 libraries. From the libraries generated, a total of 38,269 expressed genes containing 11,714 novel genes and 11,232 differentially expressed genes (DEGs) were identified. Functional enrichment analysis revealed that the most noticeable pathways were plant-pathogen interaction, MAPK signaling pathway—plant, plant hormone signal transduction and secondary metabolisms. 1,599 potentially defense-related genes linked to pattern recognition receptors (PRRs), mitogen-activated protein kinase (MAPK), calcium signaling, and transcription factors may regulate pepper resistance to Xcv. Moreover, after Xcv inoculation, 364 DEGs differentially expressed only in VI037601 and 852 genes in both ECW and VI037601. Many of those genes were classified as NBS-LRR genes, oxidoreductase gene, WRKY and NAC transcription factors, and they were mainly involved in metabolic process, response to stimulus and biological regulation pathways. Quantitative RT-PCR of sixteen selected DEGs further validated the RNA-seq differential gene expression analysis. Our results will provide a valuable resource for understanding the molecular mechanisms of pepper resistance to Xcv infection and improving pepper resistance cultivars against Xcv.
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Affiliation(s)
- Shenghua Gao
- Hubei Key Laboratory of Vegetable Germplasm Enhancement and Genetic Improvement, Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Fei Wang
- Hubei Key Laboratory of Vegetable Germplasm Enhancement and Genetic Improvement, Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei, China
| | | | - Ning Li
- Hubei Key Laboratory of Vegetable Germplasm Enhancement and Genetic Improvement, Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Yanxu Yin
- Hubei Key Laboratory of Vegetable Germplasm Enhancement and Genetic Improvement, Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Chuying Yu
- Hubei Key Laboratory of Vegetable Germplasm Enhancement and Genetic Improvement, Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei, China
| | - Chunhai Jiao
- Hubei Key Laboratory of Vegetable Germplasm Enhancement and Genetic Improvement, Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei, China
- * E-mail: (MY); (CJ)
| | - Minghua Yao
- Hubei Key Laboratory of Vegetable Germplasm Enhancement and Genetic Improvement, Cash Crops Research Institute, Hubei Academy of Agricultural Sciences, Wuhan, Hubei, China
- * E-mail: (MY); (CJ)
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14
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Huang X, Zhang H, Guo R, Wang Q, Liu X, Kuang W, Song H, Liao J, Huang Y, Wang Z. Systematic identification and characterization of circular RNAs involved in flag leaf senescence of rice. PLANTA 2021; 253:26. [PMID: 33410920 PMCID: PMC7790769 DOI: 10.1007/s00425-020-03544-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2020] [Accepted: 12/19/2020] [Indexed: 05/30/2023]
Abstract
Circular RNAs (circRNAs) identification, expression profiles, and construction of circRNA-parental gene relationships and circRNA-miRNA-mRNA ceRNA networks indicate that circRNAs are involved in flag leaf senescence of rice. Circular RNAs (circRNAs) are a class of 3'-5' head-to-tail covalently closed non-coding RNAs which have been proved to play important roles in various biological processes. However, no systematic identification of circRNAs associated with leaf senescence in rice has been studied. In this study, a genome-wide high-throughput sequencing analysis was performed using rice flag leaves developing from normal to senescence. Here, a total of 6612 circRNAs were identified, among which, 113 circRNAs were differentially expressed (DE) during the leaf senescence process. Moreover, 4601 (69.59%) circRNAs were derived from the exons or introns of their parental genes, while 2110 (71%) of the parental genes produced only one circRNA. The sequence alignment analysis showed that hundreds of rice circRNAs were conserved among different plant species. Gene Ontology (GO) enrichment analysis revealed that parental genes of DE circRNAs were enriched in many biological processes closely related to leaf senescence. Through weighted gene co-expression network analysis (WGCNA), six continuously down-expressed circRNAs, 18 continuously up-expressed circRNAs and 15 turn-point high-expressed circRNAs were considered to be highly associated with leaf senescence. Additionally, a total of 17 senescence-associated circRNAs were predicted to have parental genes, in which, regulations of three circRNAs to their parental genes were validated by qRT-PCR. The competing endogenous RNA (ceRNA) networks were also constructed. And a total of 11 senescence-associated circRNAs were predicted to act as miRNA sponges to regulate mRNAs, in which, regulation of two circRNAs to eight mRNAs was validated by qRT-PCR. It is discussed that senescence-associated circRNAs were involved in flag leaf senescence probably through mediating their parental genes and ceRNA networks, to participate in several well-studied senescence-associated processes, mainly including the processes of transcription, translation, and posttranslational modification (especially protein glycosylation), oxidation-reduction process, involvement of senescence-associated genes, hormone signaling pathway, proteolysis, and DNA damage repair. This study not only showed the systematic identification of circRNAs involved in leaf senescence of rice, but also laid a foundation for functional research on candidate circRNAs.
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Affiliation(s)
- Xiaoping Huang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Hongyu Zhang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Rong Guo
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Qiang Wang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Xuanzhi Liu
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Weigang Kuang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Haiyan Song
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Jianglin Liao
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China
| | - Yingjin Huang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China.
| | - Zhaohai Wang
- Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Ministry of Education of the P.R. China, Jiangxi Agricultural University, Nanchang, 330045, Jiangxi Province, China.
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15
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Zheng WQ, Zhang Y, Chen B, Wei M, Wang XW, Du L. Identification and Characterization of circRNAs in the Developing Stem Cambium of Poplar Seedlings. Mol Biol 2020. [DOI: 10.1134/s0026893320050131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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16
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Zuo J, Grierson D, Courtney LT, Wang Y, Gao L, Zhao X, Zhu B, Luo Y, Wang Q, Giovannoni JJ. Relationships between genome methylation, levels of non-coding RNAs, mRNAs and metabolites in ripening tomato fruit. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 103:980-994. [PMID: 32314448 DOI: 10.1111/tpj.14778] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 03/12/2020] [Accepted: 03/23/2020] [Indexed: 05/28/2023]
Abstract
Ripening of tomato fruit is a complex tightly orchestrated developmental process that involves multiple physiological and metabolic changes that render fruit attractive, palatable and nutritious. Ripening requires initiation, activation and coordination of key pathways at the transcriptional and post-transcriptional levels that lead to ethylene synthesis and downstream ripening events determining quality. We studied wild-type, Gr and r mutant fruits at the coding and non-coding transcriptomic, metabolomic and genome methylation levels. Numerous differentially expressed non-coding RNAs were identified and quantified and potential competing endogenous RNA regulation models were constructed. Multiple changes in gene methylation were linked to the ethylene pathway and ripening processes. A combined analysis of changes in genome methylation, long non-coding RNAs, circular RNAs, micro-RNAs and fruit metabolites revealed many differentially expressed genes (DEGs) with differentially methylated regions encoding transcription factors and key enzymes related to ethylene or carotenoid pathways potentially targeted by differentially expressed non-coding RNAs. These included ACO2 (targeted by MSTRG.59396.1 and miR396b), CTR1 (targeted by MSTRG.43594.1 and miR171b), ERF2 (targeted by MSTRG.183681.1), ERF5 (targeted by miR9470-3p), PSY1 (targeted by MSTRG.95226.7), ZISO (targeted by 12:66127788|66128276) and NCED (targeted by MSTRG.181568.2). Understanding the functioning of this intricate genetic regulatory network provides new insights into the underlying integration and relationships between the multiple events that collectively determine the ripe phenotype.
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Affiliation(s)
- Jinhua Zuo
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- United States Department of Agriculture - Agricultural Research Service and Boyce Thompson Institute for Plant Research, Cornell University Campus, Ithaca, NY, 14853, USA
| | - Donald Grierson
- School of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough, Leicestershire, LE12 5RD, UK
| | - Lance T Courtney
- United States Department of Agriculture - Agricultural Research Service and Boyce Thompson Institute for Plant Research, Cornell University Campus, Ithaca, NY, 14853, USA
| | - Yunxiang Wang
- Beijing Academy of Forestry and Pomology Sciences, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100093, China
| | - Lipu Gao
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Xiaoyan Zhao
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Benzhong Zhu
- Laboratory of Postharvest Molecular Biology of Fruits and vegetables, Department of Food Biotechnology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yunbo Luo
- Laboratory of Postharvest Molecular Biology of Fruits and vegetables, Department of Food Biotechnology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Qing Wang
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - James J Giovannoni
- United States Department of Agriculture - Agricultural Research Service and Boyce Thompson Institute for Plant Research, Cornell University Campus, Ithaca, NY, 14853, USA
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17
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Zhang P, Li S, Chen M. Characterization and Function of Circular RNAs in Plants. Front Mol Biosci 2020; 7:91. [PMID: 32509801 PMCID: PMC7248317 DOI: 10.3389/fmolb.2020.00091] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 04/22/2020] [Indexed: 12/14/2022] Open
Abstract
CircRNAs are covalently closed-loop single-stranded RNA molecules ubiquitously expressing in eukaryotes. As an important member of the endogenous ncRNA family, circRNAs are associated with diverse biological processes and can regulate transcription, modulate alternative splicing, and interact with miRNAs or proteins. Compared to abundant advances in animals, studies of circRNAs in plants are rapidly emerging. The databases and analysis tools for plant circRNAs are constantly being developed. Large numbers of circRNAs have been identified and characterized in plants and proved to play regulatory roles in plant growth, development, and stress responses. Here, we review the biogenesis, characteristics, bioinformatics resources, and biological functions of plant circRNAs, and summarize the distinct circularization features and differentially expression patterns comparison with animal-related results.
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Affiliation(s)
- Peijing Zhang
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Sida Li
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Ming Chen
- Department of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou, China
- James D. Watson Institute of Genome Sciences, Zhejiang University, Hangzhou, China
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18
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Development and characterization of non-coding RNA based simple sequence repeat markers in Capsicum species. Genomics 2020; 112:1554-1564. [DOI: 10.1016/j.ygeno.2019.09.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 08/30/2019] [Accepted: 09/06/2019] [Indexed: 02/06/2023]
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19
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Yan Z, Zuo J, Zhou F, Shi J, Xu D, Hu W, Jiang A, Liu Y, Wang Q. Integrated Analysis of Transcriptomic and Metabolomic Data Reveals the Mechanism by Which LED Light Irradiation Extends the Postharvest Quality of Pak-choi ( Brassica campestris L. ssp. chinensis (L.) Makino var. communis Tsen et Lee). Biomolecules 2020; 10:E252. [PMID: 32046153 PMCID: PMC7072264 DOI: 10.3390/biom10020252] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Revised: 01/15/2020] [Accepted: 01/30/2020] [Indexed: 12/16/2022] Open
Abstract
Low-intensity (10 μmol m-2 s-1) white LED (light-emitting diode) light effectively delayed senescence and maintained the quality of postharvest pakchoi during storage at 20 °C. To investigate the mechanism of LED treatment in maintaining the quality of pakchoi, metabolite profiles reported previously were complemented by transcriptomic profiling to provide greater information. A total of 7761 differentially expressed genes (DEGs) were identified in response to the LED irradiation of pak-choi during postharvest storage. Several pathways were markedly induced by LED irradiation, with photosynthesis being the most notable. More specifically, porphyrin and chlorophyll metabolism and glucosinolate biosynthesis were significantly induced by LED irradiation, which is consistent with metabolomics reported previously. Additionally, chlorophyllide a, chlorophyll, as well as total glucosinolate content was positively induced by LED irradiation. Overall, LED irradiation delayed the senescence of postharvest pak-choi mainly by activating photosynthesis, inducting glucosinolate biosynthesis, and inhibiting the down-regulation of porphyrin and chlorophyll metabolism pathways. The present study provides new insights into the effect and the underlying mechanism of LED irradiation on delaying the senescence of pak-choi. LED irradiation represents a useful approach for extending the shelf life of pak-choi.
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Affiliation(s)
- Zhicheng Yan
- Key Laboratory of the Vegetable Postharvest Treatment of Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, National Engineering Research Center for Vegetables, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (Z.Y.); (J.Z.); (F.Z.); (J.S.); (Y.L.)
| | - Jinhua Zuo
- Key Laboratory of the Vegetable Postharvest Treatment of Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, National Engineering Research Center for Vegetables, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (Z.Y.); (J.Z.); (F.Z.); (J.S.); (Y.L.)
| | - Fuhui Zhou
- Key Laboratory of the Vegetable Postharvest Treatment of Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, National Engineering Research Center for Vegetables, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (Z.Y.); (J.Z.); (F.Z.); (J.S.); (Y.L.)
- Laboratory of Biotechnology and Bioresources Utilizatio, Ministry of Education, College of Life Science, Dalian Minzu University, Dalian 116600, China; (D.X.); (W.H.); (A.J.)
| | - Junyan Shi
- Key Laboratory of the Vegetable Postharvest Treatment of Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, National Engineering Research Center for Vegetables, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (Z.Y.); (J.Z.); (F.Z.); (J.S.); (Y.L.)
| | - Dongying Xu
- Laboratory of Biotechnology and Bioresources Utilizatio, Ministry of Education, College of Life Science, Dalian Minzu University, Dalian 116600, China; (D.X.); (W.H.); (A.J.)
| | - Wenzhong Hu
- Laboratory of Biotechnology and Bioresources Utilizatio, Ministry of Education, College of Life Science, Dalian Minzu University, Dalian 116600, China; (D.X.); (W.H.); (A.J.)
| | - Aili Jiang
- Laboratory of Biotechnology and Bioresources Utilizatio, Ministry of Education, College of Life Science, Dalian Minzu University, Dalian 116600, China; (D.X.); (W.H.); (A.J.)
| | - Yao Liu
- Key Laboratory of the Vegetable Postharvest Treatment of Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, National Engineering Research Center for Vegetables, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (Z.Y.); (J.Z.); (F.Z.); (J.S.); (Y.L.)
| | - Qing Wang
- Key Laboratory of the Vegetable Postharvest Treatment of Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, National Engineering Research Center for Vegetables, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China; (Z.Y.); (J.Z.); (F.Z.); (J.S.); (Y.L.)
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20
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Wu A, Hao P, Wei H, Sun H, Cheng S, Chen P, Ma Q, Gu L, Zhang M, Wang H, Yu S. Genome-Wide Identification and Characterization of Glycosyltransferase Family 47 in Cotton. Front Genet 2019; 10:824. [PMID: 31572442 PMCID: PMC6749837 DOI: 10.3389/fgene.2019.00824] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 08/09/2019] [Indexed: 01/06/2023] Open
Abstract
The glycosyltransferase (GT) 47 family is involved in the biosynthesis of xylose, pectin and xyloglucan and plays a significant role in maintaining the normal morphology of the plant cell wall. However, the functions of GT47s are less well known in cotton. In the present study, a total of 53, 53, 105 and 109 GT47 genes were detected by genome-wide identification in Gossypium arboreum, G. raimondii, G. hirsutum and G. barbadense, respectively. All the GT47s were classified into six major groups via phylogenetic analysis. The exon/intron structure and protein motifs indicated that each branch of the GT47 genes was highly conserved. Collinearity analysis showed that GT47 gene family expansion occurred in Gossypium spp. mainly through whole-genome duplication and that segmental duplication mainly promoted GT47 gene expansion within the A and D subgenomes. The Ka/Ks values suggested that the GT47 gene family has undergone purifying selection during the long-term evolutionary process. Transcriptomic data and qRT-PCR showed that GhGT47 genes exhibited different expression patterns in each tissue and during fiber development. Our results suggest that some genes in the GhGT47 family might be associated with fiber development and the abiotic stress response, which could promote further research involving functional analysis of GT47 genes in cotton.
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Affiliation(s)
- Aimin Wu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.,National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
| | - Pengbo Hao
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Hengling Wei
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Huiru Sun
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Shuaishuai Cheng
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Pengyun Chen
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Qiang Ma
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Lijiao Gu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Meng Zhang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Hantao Wang
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China
| | - Shuxun Yu
- State Key Laboratory of Cotton Biology, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.,National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, China
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Zuo J, Wang Y, Zhu B, Luo Y, Wang Q, Gao L. Network analysis of noncoding RNAs in pepper provides insights into fruit ripening control. Sci Rep 2019; 9:8734. [PMID: 31217463 PMCID: PMC6584694 DOI: 10.1038/s41598-019-45427-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 06/06/2019] [Indexed: 01/21/2023] Open
Abstract
Pepper is an important vegetable worldwide and is a model plant for nonclimacteric fleshy fruit ripening. Drastic visual changes and internal biochemical alterations are involved in fruit coloration, flavor, texture, aroma, and palatability to animals during the pepper fruit ripening process. To explore the regulation of bell pepper fruit ripening by noncoding RNAs (ncRNAs), we examined their expression profiles; 43 microRNAs (miRNAs), 125 circular RNAs (circRNAs), 366 long noncoding RNAs (lncRNAs), and 3266 messenger RNAs (mRNAs) were differentially expressed (DE) in mature green and red ripe fruit. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that the targets of the DE ncRNAs and DE mRNAs included several kinds of transcription factors (TFs) (ERF, bHLH, WRKY, MYB, NAC, bZIP, and ARF), enzymes involved in cell wall metabolism (beta-galactosidase, beta-glucosidase, beta-amylase, chitinase, pectate lyase (PL), pectinesterase (PE) and polygalacturonase (PG)), enzymes involved in fruit color accumulation (bifunctional 15-cis-phytoene synthase, 9-cis-epoxycarotenoid dioxygenase, beta-carotene hydroxylase and carotene epsilon-monooxygenase), enzymes associated with fruit flavor and aroma (glutamate-1-semialdehyde 2,1-aminomutase, anthocyanin 5-aromatic acyltransferase, and eugenol synthase 1) and enzymes involved in the production of ethylene (ET) (ACO1/ACO4) as well as other plant hormones such as abscisic acid (ABA), auxin (IAA), and gibberellic acid (GA). Based on accumulation profiles, a network of ncRNAs and mRNAs associated with bell pepper fruit ripening was developed that provides a foundation for further developing a more refined understanding of the molecular biology of fruit ripening.
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Affiliation(s)
- Jinhua Zuo
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing, Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China. .,Boyce Thompson Institute for Plant Research, Cornell University Campus, Ithaca, NY, 14853, USA.
| | - Yunxiang Wang
- Beijing Academy of Forestry and Pomology Sciences, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100093, China
| | - Benzhong Zhu
- Laboratory of Postharvest Molecular Biology of Fruits and Vegetables, Department of Food Biotechnology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yunbo Luo
- Laboratory of Postharvest Molecular Biology of Fruits and Vegetables, Department of Food Biotechnology, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Qing Wang
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing, Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
| | - Lipu Gao
- Key Laboratory of Vegetable Postharvest Processing, Ministry of Agriculture, Beijing Key Laboratory of Fruits and Vegetable Storage and Processing, Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China) of Ministry of Agriculture, Key Laboratory of Urban Agriculture (North) of Ministry of Agriculture, Beijing, Vegetable Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, 100097, China.
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