1
|
Erokhina TN, Ryazantsev DY, Zavriev SK, Morozov SY. Biological Activity of Artificial Plant Peptides Corresponding to the Translational Products of Small ORFs in Primary miRNAs and Other Long "Non-Coding" RNAs. PLANTS (BASEL, SWITZERLAND) 2024; 13:1137. [PMID: 38674546 PMCID: PMC11055055 DOI: 10.3390/plants13081137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/04/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024]
Abstract
Generally, lncPEPs (peptides encoded by long non-coding RNAs) have been identified in many plant species of several families and in some animal species. Importantly, molecular mechanisms of the miPEPs (peptides encoded by primary microRNAs, pri-miRNAs) are often poorly understood in different flowering plants. Requirement for the additional studies in these directions is highlighted by alternative findings concerning positive regulation of pri-miRNA/miRNA expression by synthetic miPEPs in plants. Further extensive studies are also needed to understand the full set of their roles in eukaryotic organisms. This review mainly aims to consider the available data on the regulatory functions of the synthetic miPEPs. Studies of chemically synthesized miPEPs and analyzing the fine molecular mechanisms of their functional activities are reviewed. Brief description of the studies to identify lncORFs (open reading frames of long non-coding RNAs) and the encoded protein products is also provided.
Collapse
Affiliation(s)
- T. N. Erokhina
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia (S.K.Z.)
| | - D. Y. Ryazantsev
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia (S.K.Z.)
| | - S. K. Zavriev
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, 117997 Moscow, Russia (S.K.Z.)
| | - S. Y. Morozov
- Biological Faculty, Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119991 Moscow, Russia
| |
Collapse
|
2
|
Li H, Meng J, Wang Z, Tang Y, Xia S, Wang Y, Qin Z, Luan Y. miPEPPred-FRL: A Novel Method for Predicting Plant MiRNA-Encoded Peptides Using Adaptive Feature Representation Learning. J Chem Inf Model 2024; 64:2889-2900. [PMID: 37733290 DOI: 10.1021/acs.jcim.3c01020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
MicroRNAs (miRNAs) are an essential type of small molecule RNAs that play significant regulatory roles in organisms. Recent studies have demonstrated that small open reading frames (sORFs) harbored in primary miRNAs (pri-miRNAs) can encode small peptides, known as miPEPs. Plant miPEPs can increase the abundance and activity of cognate miRNAs by promoting the transcription of their corresponding pri-miRNAs, thereby modulating plant traits. Biological experiments are the most effective way to accurately identify miPEPs; however, they are time-consuming and expensive. Hence, an efficient computational method for the identification of miPEPs on a large scale is highly desirable. Up to now, there have been no specialized computational tools for identifying miPEPs. In this work, a novel predictor named miPEPPred-FRL based on an adaptive feature representation learning framework that consists of the feature transformation module and the cascade architecture has been proposed. The feature transformation module integrating a newly designed feature selection method and classifier selection rule is developed to convert sequence-based features into primary class and probabilistic features, which are then fed into the improved cascade architecture to obtain more stable and discriminative augmented features. Finally, the augmented features are utilized to construct the final predictor. Cross-validation experiments illustrate that the novel feature selection method and classifier selection rule contribute to boosting the feature representation ability of the framework. Furthermore, the high accuracy of miPEPPred-FRL on independent testing data suggests that it is a trustworthy and valuable tool for the identification of miPEPs.
Collapse
Affiliation(s)
- Haibin Li
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Jun Meng
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Zhaowei Wang
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Youwei Tang
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Shihao Xia
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Yu Wang
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Zhaojing Qin
- School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Yushi Luan
- School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116024, China
| |
Collapse
|
3
|
Ren G, Zhang Y, Chen Z, Xue X, Fan H. Research Progress of Small Plant Peptides on the Regulation of Plant Growth, Development, and Abiotic Stress. Int J Mol Sci 2024; 25:4114. [PMID: 38612923 PMCID: PMC11012589 DOI: 10.3390/ijms25074114] [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: 03/01/2024] [Revised: 04/02/2024] [Accepted: 04/04/2024] [Indexed: 04/14/2024] Open
Abstract
Small peptides in plants are typically characterized as being shorter than 120 amino acids, with their biologically active variants comprising fewer than 20 amino acids. These peptides are instrumental in regulating plant growth, development, and physiological processes, even at minimal concentrations. They play a critical role in long-distance signal transduction within plants and act as primary responders to a range of stress conditions, including salinity, alkalinity, drought, high temperatures, and cold. This review highlights the crucial roles of various small peptides in plant growth and development, plant resistance to abiotic stress, and their involvement in long-distance transport. Furthermore, it elaborates their roles in the regulation of plant hormone biosynthesis. Special emphasis is given to the functions and mechanisms of small peptides in plants responding to abiotic stress conditions, aiming to provide valuable insights for researchers working on the comprehensive study and practical application of small peptides.
Collapse
Affiliation(s)
- Guocheng Ren
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
- Dongying Key Laboratory of Salt Tolerance Mechanism and Application of Halophytes, Dongying Institute, Shandong Normal University, No. 2 Kangyang Road, Dongying 257000, China
| | - Yanling Zhang
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
- Dongying Key Laboratory of Salt Tolerance Mechanism and Application of Halophytes, Dongying Institute, Shandong Normal University, No. 2 Kangyang Road, Dongying 257000, China
| | - Zengting Chen
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
| | - Xin Xue
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
| | - Hai Fan
- Shandong Provincial Key Laboratory of Plant Stress, College of Life Sciences, Shandong Normal University, Jinan 250014, China; (G.R.); (Y.Z.); (Z.C.); (X.X.)
| |
Collapse
|
4
|
Wang R, Zhou Z, Wu X, Jiang X, Zhuo L, Liu M, Li H, Fu X, Yao X. An Effective Plant Small Secretory Peptide Recognition Model Based on Feature Correction Strategy. J Chem Inf Model 2024; 64:2798-2806. [PMID: 37643082 DOI: 10.1021/acs.jcim.3c00868] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Plant small secretory peptides (SSPs) play an important role in the regulation of biological processes in plants. Accurately predicting SSPs enables efficient exploration of their functions. Traditional experimental verification methods are very reliable and accurate, but they require expensive equipment and a lot of time. The method of machine learning speeds up the prediction process of SSPs, but the instability of feature extraction will also lead to further limitations of this type of method. Therefore, this paper proposes a new feature-correction-based model for SSP recognition in plants, abbreviated as SE-SSP. The model mainly includes the following three advantages: First, the use of transformer encoders can better reveal implicit features. Second, design a feature correction module suitable for sequences, named 2-D SENET, to adaptively adjust the features to obtain a more robust feature representation. Third, stack multiple linear modules to further dig out the deep information on the sample. At the same time, the training based on a contrastive learning strategy can alleviate the problem of sparse samples. We construct experiments on publicly available data sets, and the results verify that our model shows an excellent performance. The proposed model can be used as a convenient and effective SSP prediction tool in the future. Our data and code are publicly available at https://github.com/wrab12/SE-SSP/.
Collapse
Affiliation(s)
- Rui Wang
- Wenzhou University of Technology, 325000 Wenzhou, China
| | - Zhecheng Zhou
- Wenzhou University of Technology, 325000 Wenzhou, China
| | - Xiaonan Wu
- Wenzhou University of Technology, 325000 Wenzhou, China
| | - Xin Jiang
- Wenzhou University of Technology, 325000 Wenzhou, China
| | - Linlin Zhuo
- Wenzhou University of Technology, 325000 Wenzhou, China
| | - Mingzhe Liu
- Wenzhou University of Technology, 325000 Wenzhou, China
| | - Hao Li
- Central South University, 410083 Changsha, China
| | - Xiangzheng Fu
- Faculty of Applied Sciences, Macao Polytechnic University, 999078, Macao
| | - Xiaojun Yao
- Faculty of Applied Sciences, Macao Polytechnic University, 999078, Macao
| |
Collapse
|
5
|
Deng J, Xu W, Jie Y, Chong Y. Subcellular localization and relevant mechanisms of human cancer-related micropeptides. FASEB J 2023; 37:e23270. [PMID: 37994683 DOI: 10.1096/fj.202301019rr] [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: 05/21/2023] [Revised: 09/17/2023] [Accepted: 10/10/2023] [Indexed: 11/24/2023]
Abstract
Rapid advances in high-quality sequencing and bioinformatics have invalidated the argument that noncoding RNAs (ncRNAs) are junk transcripts that do not encode proteins. Increasing evidence suggests that small open reading frames (sORFs) in ncRNAs can encode micropeptides and polypeptides within 100 amino acids in length. Several micropeptides have been characterized and proven to have various functions in human physiology and pathology, particularly in cancer. The present review mainly highlights the latest studies on ncRNA-encoded micropeptides in different cancers and categorizes them based on their subcellular localization, thereby providing a theoretical basis for micropeptide applications in the early diagnosis and prognosis of cancer and as therapeutic targets. However, considering the inherent characteristics of micropeptides and the limitations of the assay technology methods, more detailed information is warranted.
Collapse
Affiliation(s)
- Jing Deng
- Department of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenli Xu
- Department of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yusheng Jie
- Department of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yutian Chong
- Department of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China
| |
Collapse
|
6
|
Wang Z, Cui Q, Su C, Zhao S, Wang R, Wang Z, Meng J, Luan Y. Unveiling the secrets of non-coding RNA-encoded peptides in plants: A comprehensive review of mining methods and research progress. Int J Biol Macromol 2023:124952. [PMID: 37257526 DOI: 10.1016/j.ijbiomac.2023.124952] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 06/02/2023]
Abstract
Non-coding RNAs (ncRNAs) are not conventionally involved in protein encoding. However, recent findings indicate that ncRNAs possess the capacity to code for proteins or peptides. These ncRNA-encoded peptides (ncPEPs) are vital for diverse plant life processes and exhibit significant potential value. Despite their importance, research on plant ncPEPs is limited, with only a few studies conducted and less information on the underlying mechanisms, and the field remains in its nascent stage. This manuscript provides a comprehensive overview of ncPEPs mining methods in plants, focusing on prediction, identification, and functional analysis. We discuss the strengths and weaknesses of various techniques, identify future research directions in the ncPEPs domain, and elucidate the biological functions and agricultural application prospects of plant ncPEPs. By highlighting the immense potential and research value of ncPEPs, we aim to lay a solid foundation for more in-depth studies in plant science.
Collapse
Affiliation(s)
- Zhengjie Wang
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Qi Cui
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Chenglin Su
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Siyuan Zhao
- School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Ruiming Wang
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Zhicheng Wang
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China
| | - Jun Meng
- School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China
| | - Yushi Luan
- School of Bioengineering, Dalian University of Technology, Dalian 116024, China.
| |
Collapse
|
7
|
Ren C, Fan P, Li S, Liang Z. Advances in understanding cold tolerance in grapevine. PLANT PHYSIOLOGY 2023:kiad092. [PMID: 36789447 DOI: 10.1093/plphys/kiad092] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/06/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
Grapevine (Vitis ssp.) is a deciduous perennial fruit crop, and the canes and buds of grapevine should withstand low temperatures annually during winter. However, the widely cultivated Vitis vinifera is cold-sensitive and cannot survive the severe winter in regions with extremely low temperatures, such as viticulture regions in northern China. By contrast, a few wild Vitis species like V. amurensis and V. riparia exhibit excellent freezing tolerance. However, the mechanisms underlying grapevine cold tolerance remain largely unknown. In recent years, much progress has been made in elucidating the mechanisms, owing to the advances in sequencing and molecular biotechnology. Assembly of grapevine genomes together with resequencing and transcriptome data enable researchers to conduct genomic and transcriptomic analyses in various grapevine genotypes and populations to explore genetic variations involved in cold tolerance. In addition, a number of pivotal genes have been identified and functionally characterized. In this review, we summarize recent major advances in physiological and molecular analyses of cold tolerance in grapevine and put forward questions in this field. We also discuss the strategies for improving the tolerance of grapevine to cold stress. Understanding grapevine cold tolerance will facilitate the development of grapevines for adaption to global climate change.
Collapse
Affiliation(s)
- Chong Ren
- Beijing Key Laboratory of Grape Sciences and Enology, Key Laboratory of Plant Resource, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, PR China
- China National Botanical Garden, Beijing 100093, PR China
| | - Peige Fan
- Beijing Key Laboratory of Grape Sciences and Enology, Key Laboratory of Plant Resource, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, PR China
- China National Botanical Garden, Beijing 100093, PR China
| | - Shaohua Li
- Beijing Key Laboratory of Grape Sciences and Enology, Key Laboratory of Plant Resource, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, PR China
- China National Botanical Garden, Beijing 100093, PR China
| | - Zhenchang Liang
- Beijing Key Laboratory of Grape Sciences and Enology, Key Laboratory of Plant Resource, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, PR China
- China National Botanical Garden, Beijing 100093, PR China
| |
Collapse
|
8
|
The Essentials on microRNA-Encoded Peptides from Plants to Animals. Biomolecules 2023; 13:biom13020206. [PMID: 36830576 PMCID: PMC9953219 DOI: 10.3390/biom13020206] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/06/2023] [Accepted: 01/08/2023] [Indexed: 01/22/2023] Open
Abstract
Primary transcripts of microRNAs (pri-miRNAs) were initially defined as long non-coding RNAs that host miRNAs further processed by the microRNA processor complex. A few years ago, however, it was discovered in plants that pri-miRNAs actually contain functional open reading frames (sORFs) that translate into small peptides called miPEPs, for microRNA-encoded peptides. Initially detected in Arabidopsis thaliana and Medicago truncatula, recent studies have revealed the presence of miPEPs in other pri-miRNAs as well as in other species ranging from various plant species to animals. This suggests that miPEP numbers remain largely underestimated and that they could be a common signature of pri-miRNAs. Here we present the most recent advances in miPEPs research and discuss how their discovery has broadened our vision of the regulation of gene expression by miRNAs, and how miPEPs could be interesting tools in sustainable agriculture or the treatment of certain human diseases.
Collapse
|