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Guo Z, Li B, Du J, Shen F, Zhao Y, Deng Y, Kuang Z, Tao Y, Wan M, Lu X, Wang D, Wang Y, Han Y, Wei J, Li L, Guo X, Zhao C, Yang X. LettuceGDB: The community database for lettuce genetics and omics. PLANT COMMUNICATIONS 2023; 4:100425. [PMID: 35964156 PMCID: PMC9860171 DOI: 10.1016/j.xplc.2022.100425] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 07/29/2022] [Accepted: 08/10/2022] [Indexed: 05/17/2023]
Abstract
As a globally popular leafy vegetable and a representative plant of the Asteraceae family, lettuce has great economic and academic significance. In the last decade, high-throughput sequencing, phenotyping, and other multi-omics data in lettuce have accumulated on a large scale, thus increasing the demand for an integrative lettuce database. Here, we report the establishment of a comprehensive lettuce database, LettuceGDB (https://www.lettucegdb.com/). As an omics data hub, the current LettuceGDB includes two reference genomes with detailed annotations; re-sequencing data from over 1000 lettuce varieties; a collection of more than 1300 worldwide germplasms and millions of accompanying phenotypic records obtained with manual and cutting-edge phenomics technologies; re-analyses of 256 RNA sequencing datasets; a complete miRNAome; extensive metabolite information for representative varieties and wild relatives; epigenetic data on the genome-wide chromatin accessibility landscape; and various lettuce research papers published in the last decade. Five hierarchically accessible functions (Genome, Genotype, Germplasm, Phenotype, and O-Omics) have been developed with a user-friendly interface to enable convenient data access. Eight built-in tools (Assembly Converter, Search Gene, BLAST, JBrowse, Primer Design, Gene Annotation, Tissue Expression, Literature, and Data) are available for data downloading and browsing, functional gene exploration, and experimental practice. A community forum is also available for information sharing, and a summary of current research progress on different aspects of lettuce is included. We believe that LettuceGDB can be a comprehensive functional database amenable to data mining and database-driven exploration, useful for both scientific research and lettuce breeding.
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Affiliation(s)
- Zhonglong Guo
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China; College of Biology and the Environment, Nanjing Forestry University, Nanjing 510275, P.R. China
| | - Bo Li
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Jianjun Du
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China
| | - Fei Shen
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yongxin Zhao
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yang Deng
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Zheng Kuang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yihan Tao
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Miaomiao Wan
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Xianju Lu
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China
| | - Dong Wang
- WeiRan Biotech, Beijing 100085, P.R. China
| | - Ying Wang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China
| | - Yingyan Han
- Beijing Key Laboratory of New Technology in Agricultural Application, Beijing University of Agriculture, Beijing 102206, P.R. China
| | - Jianhua Wei
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Xinyu Guo
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China.
| | - Chunjiang Zhao
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing 100097, P.R. China.
| | - Xiaozeng Yang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China; Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-biotechnology Research Center, Beijing 100097, P.R. China.
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Volná A, Bartas M, Nezval J, Pech R, Pečinka P, Špunda V, Červeň J. Beyond the Primary Structure of Nucleic Acids: Potential Roles of Epigenetics and Noncanonical Structures in the Regulations of Plant Growth and Stress Responses. Methods Mol Biol 2023; 2642:331-361. [PMID: 36944887 DOI: 10.1007/978-1-0716-3044-0_18] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Epigenetics deals with changes in gene expression that are not caused by modifications in the primary sequence of nucleic acids. These changes beyond primary structures of nucleic acids not only include DNA/RNA methylation, but also other reversible conversions, together with histone modifications or RNA interference. In addition, under particular conditions (such as specific ion concentrations or protein-induced stabilization), the right-handed double-stranded DNA helix (B-DNA) can form noncanonical structures commonly described as "non-B DNA" structures. These structures comprise, for example, cruciforms, i-motifs, triplexes, and G-quadruplexes. Their formation often leads to significant differences in replication and transcription rates. Noncanonical RNA structures have also been documented to play important roles in translation regulation and the biology of noncoding RNAs. In human and animal studies, the frequency and dynamics of noncanonical DNA and RNA structures are intensively investigated, especially in the field of cancer research and neurodegenerative diseases. In contrast, noncanonical DNA and RNA structures in plants have been on the fringes of interest for a long time and only a few studies deal with their formation, regulation, and physiological importance for plant stress responses. Herein, we present a review focused on the main fields of epigenetics in plants and their possible roles in stress responses and signaling, with special attention dedicated to noncanonical DNA and RNA structures.
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Affiliation(s)
- Adriana Volná
- Department of Physics, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
| | - Martin Bartas
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
| | - Jakub Nezval
- Department of Physics, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
| | - Radomír Pech
- Department of Physics, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
| | - Petr Pečinka
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
| | - Vladimír Špunda
- Department of Physics, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
- Global Change Research Institute, Czech Academy of Sciences, Brno, Czech Republic
| | - Jiří Červeň
- Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
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53
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Gómez-Martín C, Aparicio-Puerta E, Hackenberg M. sRNAtoolbox: Dockerized Analysis of Small RNA Sequencing Data in Model and Non-model Species. Methods Mol Biol 2023; 2630:179-213. [PMID: 36689184 DOI: 10.1007/978-1-0716-2982-6_13] [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] [Indexed: 01/24/2023]
Abstract
The current versions of the microRNA databases MiRgeneDB, miRBase, and PmiREN contain annotations for a total of 358 different species. Public repositories, however, host small RNA sequencing data for over 800 species. This discrepancy implies that microRNA research is also very active in species that neither have an available high-quality genome assembly nor annotations for microRNAs or other types of noncoding genes. These cases are particularly challenging to analyze because reference sequences need to be collected from different sources and processed and formatted appropriately so that the dedicated small RNA analysis tools can make use of them. In this protocol we describe how small RNA sequencing data can be easily analyzed by means of a dockerized version of the well-established sRNAtoolbox/sRNAbench small RNA tools. We outline the analysis of two publicly available datasets to demonstrate basic aspects like the preparation of the local database, expression profiling, or differential expression analysis as well as more advanced features such as quantification of exogenous RNA content and data analysis in non-model species.
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Affiliation(s)
- Cristina Gómez-Martín
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University, Amsterdam, The Netherlands
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54
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Kuang Z, Zhao Y, Yang X. Plant MicroRNA Identification and Annotation Using Deep Sequencing Data. Methods Mol Biol 2023; 2595:239-250. [PMID: 36441467 DOI: 10.1007/978-1-0716-2823-2_17] [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: 11/29/2022]
Abstract
MicroRNAs (miRNAs) are endogenous non-coding small RNAs, which regulate gene expression at the post-transcriptional level. A large number of studies have revealed that they play key roles in diverse life activities, such as growth and development. In the last decade, deep sequencing technology has generated substantial small RNA sequencing (sRNA-Seq) data. Meanwhile, numerous tools have been developed to identify miRNAs from these sRNA-Seq data, resulting in a surge of miRNA annotations. Among these tools, the series of miRDeep-P and miRDeep-P2 have been widely used in plant miRNA annotation. Here, we employed miRDeep-P2 to demonstrate the plant miRNA annotation processes step by step using the deep sequencing data.
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Affiliation(s)
- Zheng Kuang
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, P.R. China
| | - Yongxin Zhao
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, P.R. China
| | - Xiaozeng Yang
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, P.R. China.
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55
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Gómez-Martín C, Zhou H, Medina JM, Aparicio-Puerta E, Hackenberg M, Shi B. Comprehensive, integrative genomic analysis of microRNA expression profiles in different tissues of two wheat cultivars with different traits. Funct Integr Genomics 2022; 23:15. [PMID: 36562829 DOI: 10.1007/s10142-022-00920-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 11/04/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
Wheat is one of the most important food sources on Earth. MicroRNAs (miRNA) play important roles in wheat productivity. To identify wheat miRNAs, we constructed and sequenced sRNA libraries from leaves and roots of two wheat cultivars (RAC875 and Kukri) with many different traits. Given that available miRNA wheat complement in the plant-specific database PmiREN ( https://pmiren.com ) does not include root tissues and root-associated miRNAs might thus be missing, we performed first the prediction of novel miRNAs using the sRNAbench tool. We found a total of 150 putatively novel miRNA genes with expression of both arms from 289 unique mature sequences and nearly 30% of all miRNA reads in roots corresponded to novel miRNAs. In contrast, this figure in leaves dropped to under 3%, confirming the undersampling of roots in the complement of known miRNAs. By using 120 publicly available wheat datasets, 598 Zea mays small RNA libraries, 64 plant species genomes, wheat degradome library, and functional enrichment analysis, a subset of novel miRNAs were confirmed as bona-fide miRNAs. Of the total 605 miRNAs identified in this study inclusive of 316 known miRNAs, 528 miRNAs were shared by both cultivars, 429 miRNAs were shared by both root tissues and 329 miRNAs were shared by both leaf tissues. In addition, 32 miRNAs were specific to Kukri while 45 miRNAs were specific to RAC875. These miRNAs had diverse functions, such as regulation of gene transcription, protein translation, energy metabolism, and cell cycle progression. Our data provide a genome-wide miRNA expression profile in these two wheat cultivars and help functional studies of wheat genomics.
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Affiliation(s)
- Cristina Gómez-Martín
- Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hui Zhou
- School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, 5064, Australia
| | - José Maria Medina
- Computational Genomics and Bioinformatics Group, Genetics Department, University of Granada, 18071, Granada, Spain.,Bioinformatics Laboratory, Centro de Investigación Biomédica, Biotechnology Institute, PTS, Avda. del Conocimiento S/N, 18100, Granada, Spain
| | - Ernesto Aparicio-Puerta
- Computational Genomics and Bioinformatics Group, Genetics Department, University of Granada, 18071, Granada, Spain.,Bioinformatics Laboratory, Centro de Investigación Biomédica, Biotechnology Institute, PTS, Avda. del Conocimiento S/N, 18100, Granada, Spain.,Instituto de Investigación Biosanitaria Ibs.GRANADA, University of Granada, 18071, Granada, Spain.,Excellence Research Unit "Modelling Nature" (MNat), University of Granada, 18071, Granada, Spain
| | - Michael Hackenberg
- Computational Genomics and Bioinformatics Group, Genetics Department, University of Granada, 18071, Granada, Spain. .,Bioinformatics Laboratory, Centro de Investigación Biomédica, Biotechnology Institute, PTS, Avda. del Conocimiento S/N, 18100, Granada, Spain. .,Instituto de Investigación Biosanitaria Ibs.GRANADA, University of Granada, 18071, Granada, Spain. .,Excellence Research Unit "Modelling Nature" (MNat), University of Granada, 18071, Granada, Spain.
| | - Bujun Shi
- School of Agriculture, Food and Wine, University of Adelaide, Urrbrae, SA, 5064, Australia.
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56
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Teh OK, Singh P, Ren J, Huang LT, Ariyarathne M, Salamon BP, Wang Y, Kotake T, Fujita T. Surface-localized glycoproteins act through class C ARFs to fine-tune gametophore initiation in Physcomitrium patens. Development 2022; 149:282110. [PMID: 36520083 DOI: 10.1242/dev.200370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 10/17/2022] [Indexed: 12/23/2022]
Abstract
Arabinogalactan proteins are functionally diverse cell wall structural glycoproteins that have been implicated in cell wall remodeling, although the mechanistic actions remain elusive. Here, we identify and characterize two AGP glycoproteins, SLEEPING BEAUTY (SB) and SB-like (SBL), that negatively regulate the gametophore bud initiation in Physcomitrium patens by dampening cell wall loosening/softening. Disruption of SB and SBL led to accelerated gametophore formation and altered cell wall compositions. The function of SB is glycosylation dependent and genetically connected with the class C auxin response factor (ARF) transcription factors PpARFC1B and PpARFC2. Transcriptomics profiling showed that SB upregulates PpARFC2, which in turn suppresses a range of cell wall-modifying genes that are required for cell wall loosening/softening. We further show that PpARFC2 binds directly to multiple AuxRE motifs on the cis-regulatory sequences of PECTIN METHYLESTERASE to suppress its expression. Hence, our results demonstrate a mechanism by which the SB modulates the strength of intracellular auxin signaling output, which is necessary to fine-tune the timing of gametophore initials formation.
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Affiliation(s)
- Ooi Kock Teh
- Institute of Plant and Microbial Biology, Academia Sinica, 128 Sec.2, Academia Rd., Nankang, Taipei 11529, Taiwan.,Department of Biological Sciences, Faculty of Science, Hokkaido University, Kita 10 Nishi 8, Kita-ku, Sapporo 060-0810, Japan
| | - Prerna Singh
- Graduate School of Life Science, Hokkaido University, Kita 10 Nishi 8, Kita-ku, Sapporo 060-0810, Japan
| | - Junling Ren
- Graduate School of Life Science, Hokkaido University, Kita 10 Nishi 8, Kita-ku, Sapporo 060-0810, Japan
| | - Lin Tzu Huang
- Institute of Plant and Microbial Biology, Academia Sinica, 128 Sec.2, Academia Rd., Nankang, Taipei 11529, Taiwan
| | - Menaka Ariyarathne
- Institute of Plant and Microbial Biology, Academia Sinica, 128 Sec.2, Academia Rd., Nankang, Taipei 11529, Taiwan
| | - Benjamin Prethiviraj Salamon
- Institute of Plant and Microbial Biology, Academia Sinica, 128 Sec.2, Academia Rd., Nankang, Taipei 11529, Taiwan
| | - Yu Wang
- Institute of Plant and Microbial Biology, Academia Sinica, 128 Sec.2, Academia Rd., Nankang, Taipei 11529, Taiwan
| | - Toshihisa Kotake
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, 225 Shimo-Okubo, Sakura-ku, Saitama 338-8570, Japan
| | - Tomomichi Fujita
- Department of Biological Sciences, Faculty of Science, Hokkaido University, Kita 10 Nishi 8, Kita-ku, Sapporo 060-0810, Japan
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57
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Luján-Soto E, Aguirre de la Cruz PI, Juárez-González VT, Reyes JL, Sanchez MDLP, Dinkova TD. Transcriptional Regulation of zma- MIR528a by Action of Nitrate and Auxin in Maize. Int J Mol Sci 2022; 23:15718. [PMID: 36555358 PMCID: PMC9779399 DOI: 10.3390/ijms232415718] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 11/23/2022] [Accepted: 12/03/2022] [Indexed: 12/14/2022] Open
Abstract
In recent years, miR528, a monocot-specific miRNA, has been assigned multifaceted roles during development and stress response in several plant species. However, the transcription regulation and the molecular mechanisms controlling MIR528 expression in maize are still poorly explored. Here we analyzed the zma-MIR528a promoter region and found conserved transcription factor binding sites related to diverse signaling pathways, including the nitrate (TGA1/4) and auxin (AuxRE) response networks. Accumulation of both pre-miR528a and mature miR528 was up-regulated by exogenous nitrate and auxin treatments during imbibition, germination, and maize seedling establishment. Functional promoter analyses demonstrated that TGA1/4 and AuxRE sites are required for transcriptional induction by both stimuli. Overall, our findings of the nitrogen- and auxin-induced zma-MIR528a expression through cis-regulatory elements in its promoter contribute to the knowledge of miR528 regulome.
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Affiliation(s)
- Eduardo Luján-Soto
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de Méxcio 04510, Mexico
| | - Paola I. Aguirre de la Cruz
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de Méxcio 04510, Mexico
| | - Vasti T. Juárez-González
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de Méxcio 04510, Mexico
- Department of Plant Biology, Swedish University of Agricultural Sciences, 75007 Uppsala, Sweden
| | - José L. Reyes
- Departamento de Biología Molecular de Plantas, Instituto de Biotecnología, Universidad Nacional Autónoma de Mexico, Av. Universidad 2001, Cuernavaca 62210, Mexico
| | - María de la Paz Sanchez
- Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - Tzvetanka D. Dinkova
- Departamento de Bioquímica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de Méxcio 04510, Mexico
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58
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Yu Y, Zhang T, Sun J, Jing T, Shen Y, Zhang K, Chen Y, Ding D, Wang G, Yang J, Tang J, Shi Z, Wang D, Gou M. Evolutionary characterization of miR396s in Poaceae exemplified by their genetic effects in wheat and maize. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2022; 325:111465. [PMID: 36155239 DOI: 10.1016/j.plantsci.2022.111465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 09/01/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
MiR396s play important roles in regulating plant growth and stress response, and great potential for crop yield promotion was anticipated. For more comprehensive and precise understanding of miR396s in Poaceae, we analyzed the phylogenetic linkage, gene expression, and chromosomal distribution of miR396s in this study. Although the mature miR396s' sequences were mostly conserved, differential expression patterns and chromosomal distribution were found among Poaceae species including the major cereal crops rice, wheat, and maize. Consistently, in comparison with rice, wheat and maize plants transformed with the target mimicry construct of miR396 (MIM396) exhibited differential effects on grain size and disease resistance. While the TaMIM396 plants showed increased grain size, panicle length and sensitivity to B. graminis, the ZmMIM396 plants didn't show obvious changes in grain size and disease resistance. In Addition, several GROWTH-REGULATING FACTOR (GRF) genes in wheat and maize were repressed by miR396s, which could be reversed by MIM396, confirming the conserved regulatory roles of miR396 on GRFs. While providing new solution to enhance grain yield in wheat and revealing potential regulatory variations of miR396s in controlling grain size and disease resistance in different crops, this study gives clues to further explore miR396s' functions in other Poaceae species.
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Affiliation(s)
- Yanwen Yu
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Tongxiang Zhang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Jingfan Sun
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Teng Jing
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Yanjie Shen
- Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China
| | - Kunpu Zhang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Yan Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Dong Ding
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Guoying Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jianping Yang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Jihua Tang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China; The Shennong Laboratory, Zhengzhou, Henan 450002, China
| | - Zhenying Shi
- Key Laboratory of Insect Developmental and Evolutionary Biology, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China.
| | - Daowen Wang
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
| | - Mingyue Gou
- State Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, Center for Crop Genome Engineering, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
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59
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Guo Z, Kuang Z, Deng Y, Li L, Yang X. Identification of Species-Specific MicroRNAs Provides Insights into Dynamic Evolution of MicroRNAs in Plants. Int J Mol Sci 2022; 23:ijms232214273. [PMID: 36430750 PMCID: PMC9698635 DOI: 10.3390/ijms232214273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 11/08/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022] Open
Abstract
MicroRNAs (miRNAs) are an important class of regulatory small RNAs that program gene expression, mainly at the post-transcriptional level. Although sporadic examples of species-specific miRNAs (termed SS-miRNAs) have been reported, a genome-scale study across a variety of distant species has not been assessed. Here, by comprehensively analyzing miRNAs in 81 plant species phylogenetically ranging from chlorophytes to angiosperms, we identified 8048 species-specific miRNAs from 5499 families, representing over 61.2% of the miRNA families in the examined species. An analysis of the conservation from different taxonomic levels supported the high turnover rate of SS-miRNAs, even over short evolutionary distances. A comparison of the intrinsic features between SS-miRNAs and NSS-miRNAs (non-species-specific miRNAs) indicated that the AU content of mature miRNAs was the most striking difference. Our data further illustrated a significant bias of the genomic coordinates towards SS-miRNAs lying close to or within genes. By analyzing the 125,267 putative target genes for the 7966 miRNAs, we found the preferentially regulated functions of SS-miRNAs related to diverse metabolic processes. Collectively, these findings underscore the dynamic evolution of miRNAs in the species-specific lineages.
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Affiliation(s)
- Zhonglong Guo
- Co-Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China
| | - Zheng Kuang
- Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Yang Deng
- Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
- Correspondence: (L.L.); (X.Y.)
| | - Xiaozeng Yang
- Beijing Agro-Biotechnology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China
- Correspondence: (L.L.); (X.Y.)
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Alzahrani S, Applegate C, Swarbreck D, Dalmay T, Folkes L, Moulton V. Degradome Assisted Plant MicroRNA Prediction Under Alternative Annotation Criteria. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:3374-3383. [PMID: 34559659 DOI: 10.1109/tcbb.2021.3115023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Current microRNA (miRNA) prediction methods are generally based on annotation criteria that tend to miss potential functional miRNAs. Recently, new miRNA annotation criteria have been proposed that could lead to improvements in miRNA prediction methods in plants. Here, we investigate the effect of the new criteria on miRNA prediction in Arabidopsis thaliana and present a new degradome assisted functional miRNA prediction approach. We investigated the effect by applying the new criteria, and a more permissive criteria on miRNA prediction using existing miRNA prediction tools. We also developed an approach to miRNA prediction that is assisted by the functional information extracted from the analysis of degradome sequencing. We demonstrate the improved performance of degradome assisted miRNA prediction compared to unassisted prediction and evaluate the approach using miRNA differential expression analysis. We observe how the miRNA predictions fit under the different criteria and show a potential novel miRNA that has been missed within Arabidopsis thaliana. Additionally, we introduce a freely available software 'PAREfirst' that employs the degradome assisted approach. The study shows that some miRNAs could be missed due to the stringency of the former annotation criteria, and combining a degradome assisted approach with more permissive miRNA criteria can expand confident miRNA predictions.
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Zhang B, Fei Y, Feng J, Zhu X, Wang R, Xiao H, Zhang H, Huang J. RiceNCexp: a rice non-coding RNA co-expression atlas based on massive RNA-seq and small-RNA seq data. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:6068-6077. [PMID: 35762882 DOI: 10.1093/jxb/erac285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
Non-coding RNAs (ncRNAs) play important roles in regulating expression of protein-coding genes. Although gene expression databases have emerged in a timely manner, a comprehensive expression database for ncRNAs is still lacking. Herein, we constructed a rice ncRNA co-expression atlas (RiceNCexp), based on 491 RNA-seq and 274 small RNA (sRNA)-seq datasets. RiceNCexp hosts four types of ncRNAs, namely lncRNAs, PHAS genes, miRNAs, and phasiRNAs. RiceNCexp provides comprehensive expression information for rice ncRNAs in 22 tissues/organs, an efficient tau-based mining tool for tissue-specific ncRNAs, and the robust co-expression analysis among ncRNAs or between ncRNAs and protein-coding genes, based on 116 pairs of RNA-seq and sRNA-seq libraries from the same experiments. In summary, RiceNCexp is a user-friendly and comprehensive rice ncRNA co-expression atlas and can be freely accessed at https://cbi.njau.edu.cn/RiceNCexp/.
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Affiliation(s)
- Baoyi Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
- Jiangsu Province Engineering Research Center of Seed Industry Science and Technology, Nanjing 210095, China
| | - Yuhan Fei
- MOE Key Laboratory of Bioinformatics, Beijing Advanced Innovation Center for Structural Biology & Frontier Research Center for Biological Structure, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jiejie Feng
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
- Jiangsu Province Engineering Research Center of Seed Industry Science and Technology, Nanjing 210095, China
| | - Xueai Zhu
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
- Jiangsu Province Engineering Research Center of Seed Industry Science and Technology, Nanjing 210095, China
| | - Rui Wang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
- Jiangsu Province Engineering Research Center of Seed Industry Science and Technology, Nanjing 210095, China
| | - Hanqing Xiao
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
| | - Hongsheng Zhang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
- Jiangsu Province Engineering Research Center of Seed Industry Science and Technology, Nanjing 210095, China
| | - Ji Huang
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China
- Jiangsu Province Engineering Research Center of Seed Industry Science and Technology, Nanjing 210095, China
- Jiangsu Key Laboratory for Information Agriculture, Nanjing 210095, China
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Tomato MicroRNAs and Their Functions. Int J Mol Sci 2022; 23:ijms231911979. [PMID: 36233279 PMCID: PMC9569937 DOI: 10.3390/ijms231911979] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 09/28/2022] [Accepted: 10/03/2022] [Indexed: 11/05/2022] Open
Abstract
MicroRNAs (miRNAs) define an essential class of non-coding small RNAs that function as posttranscriptional modulators of gene expression. They are coded by MIR genes, several hundreds of which exist in the genomes of Arabidopsis and rice model plants. The functional analysis of Arabidopsis and rice miRNAs indicate that their miRNAs regulate a wide range of processes including development, reproduction, metabolism, and stress. Tomato serves as a major model crop for the study of fleshy fruit development and ripening but until recently, information on the identity of its MIR genes and their coded miRNAs was limited and occasionally contradictory. As a result, the majority of tomato miRNAs remained uncharacterized. Recently, a comprehensive annotation of tomato MIR genes has been carried out by several labs and us. In this review, we curate and organize the resulting partially overlapping MIR annotations into an exhaustive and non-redundant atlas of tomato MIR genes. There are 538 candidate and validated MIR genes in the atlas, of which, 169, 18, and 351 code for highly conserved, Solanaceae-specific, and tomato-specific miRNAs, respectively. Furthermore, a critical review of functional studies on tomato miRNAs is presented, highlighting validated and possible functions, creating a useful resource for future tomato miRNA research.
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Samarfard S, Ghorbani A, Karbanowicz TP, Lim ZX, Saedi M, Fariborzi N, McTaggart AR, Izadpanah K. Regulatory non-coding RNA: The core defense mechanism against plant pathogens. J Biotechnol 2022; 359:82-94. [PMID: 36174794 DOI: 10.1016/j.jbiotec.2022.09.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 09/18/2022] [Accepted: 09/21/2022] [Indexed: 12/13/2022]
Abstract
Plant pathogens damage crops and threaten global food security. Plants have evolved complex defense networks against pathogens, using crosstalk among various signaling pathways. Key regulators conferring plant immunity through signaling pathways include protein-coding genes and non-coding RNAs (ncRNAs). The discovery of ncRNAs in plant transcriptomes was first considered "transcriptional noise". Recent reviews have highlighted the importance of non-coding RNAs. However, understanding interactions among different types of noncoding RNAs requires additional research. This review attempts to consider how long-ncRNAs, small-ncRNAs and circular RNAs interact in response to pathogenic diseases within different plant species. Developments within genomics and bioinformatics could lead to the further discovery of plant ncRNAs, knowledge of their biological roles, as well as an understanding of their importance in exploiting the recent molecular-based technologies for crop protection.
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Affiliation(s)
- Samira Samarfard
- Department of Primary Industries and Regional Development, DPIRD Diagnostic Laboratory Services, South Perth, WA, Australia
| | - Abozar Ghorbani
- Nuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, the Islamic Republic of Iran.
| | | | - Zhi Xian Lim
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Mahshid Saedi
- Department of Plant Protection, Faculty of Agriculture, University of Kurdistan, Sanandaj, the Islamic Republic of Iran
| | - Niloofar Fariborzi
- Department of Medical Entomology and Vector Control, School of Health, Shiraz University of Medical Sciences, Shiraz, the Islamic Republic of Iran
| | - Alistair R McTaggart
- Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Ecosciences Precinct, Dutton Park, QLD 4102, Australia
| | - Keramatollah Izadpanah
- Plant Virology Research Center, College of Agriculture, Shiraz University, Shiraz, the Islamic Republic of Iran
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Jin Q, Yang Z, Yang W, Gao X, Liu C. Genome-Wide Identification and Analysis of Lbd Transcription Factor Genes in Jatropha curcas and Related Species. PLANTS 2022; 11:plants11182397. [PMID: 36145796 PMCID: PMC9504267 DOI: 10.3390/plants11182397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/04/2022] [Accepted: 09/09/2022] [Indexed: 11/16/2022]
Abstract
Lateral organ boundaries domain (LBD) proteins are plant-specific transcription factors that play important roles in organ development and stress response. However, the function of LBD genes has not been reported in Euphorbiaceae. In this paper, we used Jatropha curcas as the main study object and added rubber tree (Hevea brasiliensis), cassava (Manihot esculenta Crantz) and castor (Ricinus communis L.) to take a phylogenetic analysis of LBD genes. Of LBD, 33, 58, 54 and 30 members were identified in J. curcas, rubber tree, cassava and castor, respectively. The phylogenetic analysis showed that LBD members of Euphorbiaceae could be classified into two major classes and seven subclasses (Ia-Ie,IIa-IIb), and LBD genes of Euphorbiaceae tended to cluster in the same branch. Further analysis showed that the LBD genes of Euphorbiaceae in the same clade usually had similar protein motifs and gene structures, and tissue expression patterns showed that they also have similar expression profiles. JcLBDs in class Ia and Ie are mainly expressed in male and female flowers, and there are multiple duplication genes with similar expression profiles in these clades. It was speculated that they are likely to play important regulatory roles in flower development. Our study provided a solid foundation for further investigation of the role of LBD genes in the sexual differentiaion of J. curcas.
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Affiliation(s)
- Qi Jin
- School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650223, China
| | - Zitian Yang
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650223, China
| | - Wenjing Yang
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650223, China
| | - Xiaoyang Gao
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650223, China
| | - Changning Liu
- School of Life Sciences, University of Science and Technology of China, Hefei 230026, China
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming 650223, China
- Correspondence:
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Deng F, Zeng F, Shen Q, Abbas A, Cheng J, Jiang W, Chen G, Shah AN, Holford P, Tanveer M, Zhang D, Chen ZH. Molecular evolution and functional modification of plant miRNAs with CRISPR. TRENDS IN PLANT SCIENCE 2022; 27:890-907. [PMID: 35165036 DOI: 10.1016/j.tplants.2022.01.009] [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: 09/14/2021] [Revised: 01/06/2022] [Accepted: 01/20/2022] [Indexed: 06/14/2023]
Abstract
Gene editing using clustered regularly interspaced short palindromic repeat/CRISPR-associated proteins (CRISPR/Cas) has revolutionized biotechnology and provides genetic tools for medicine and life sciences. However, the application of this technology to miRNAs, with the function as negative gene regulators, has not been extensively reviewed in plants. Here, we summarize the evolution, biogenesis, and structure of miRNAs, as well as their interactions with mRNAs and computational models for predicting target genes. In addition, we review current advances in CRISPR/Cas for functional analysis and for modulating miRNA genes in plants. Extending our knowledge of miRNAs and their manipulation with CRISPR will provide fundamental understanding of the functions of plant miRNAs and facilitate more sustainable and publicly acceptable genetic engineering of crops.
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Affiliation(s)
- Fenglin Deng
- Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Fanrong Zeng
- Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Qiufang Shen
- College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | - Asad Abbas
- School of Horticulture, Anhui Agricultural University, Hefei 230036, China
| | - Jianhui Cheng
- Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Wei Jiang
- Collaborative Innovation Center for Grain Industry, College of Agriculture, Yangtze University, Jingzhou, China
| | - Guang Chen
- Central Laboratory, Zhejiang Academy of Agricultural Science, Hangzhou, China
| | - Adnan Noor Shah
- Department of Agricultural Engineering, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Pakistan
| | - Paul Holford
- School of Science, Western Sydney University, Penrith, NSW 2751, Australia
| | - Mohsin Tanveer
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS 7004, Australia.
| | - Dabing Zhang
- Joint International Research Laboratory of Metabolic and Developmental Sciences, Shanghai Jiao Tong University-University of Adelaide Joint Centre for Agriculture and Health, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China; School of Agriculture, Food, and Wine, University of Adelaide, Glen Osmond, SA, Australia.
| | - Zhong-Hua Chen
- School of Science, Western Sydney University, Penrith, NSW 2751, Australia; Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW 2751, Australia.
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66
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Zhao J, Jiang L, Bai H, Dai Y, Li K, Li S, Wang X, Wu L, Fu Q, Yang Y, Dong Q, Yu S, Wang M, Liu H, Peng Z, Zhu H, Zhang X, He X, Lei Y, Liang Y, Guo L, Zhang H, Yu D, Liu Y, Huang H, Liu C, Peng S, Du Y. Characteristics of members of IGT family genes in controlling rice root system architecture and tiller development. FRONTIERS IN PLANT SCIENCE 2022; 13:961658. [PMID: 36147240 PMCID: PMC9487910 DOI: 10.3389/fpls.2022.961658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 07/27/2022] [Indexed: 06/16/2023]
Abstract
Root system architecture (RSA) and tiller are important agronomic traits. However, the mechanisms of the IGT family genes regulate RSA and tiller development in different rice varieties remain unclear. In this study, we demonstrated that 38 rice varieties obtained from Yuanyang Hani's terraced fields with different RSA and could be classified into six groups based on the ratio of root length and width. We found a positive correlation between RSA (including root width, length, and area) and tiller number in most of rice varieties. Furthermore, the IGT family genes Deeper Rooting 1 (DRO1), LAZY1, TAC1, and qSOR1 showed different expression patterns when rice grown under irrigation and drought conditions. Moreover, the qSOR1 gene had higher levels in the roots and tillers, and accompanied with higher levels of PIN1b gene in roots when rice grown under drought environmental condition. DRO1 gene had two single nucleotide polymorphisms (SNPs) in the exon 3 sequences and showed different expression patterns in the roots and tillers of the 38 rice varieties. Overexpression of DRO1 with a deletion of exon 5 caused shorter root length, less lateral roots and lower levels of LAZY1, TAC1, and qSOR1. Further protein interaction network, microRNA targeting and co-expression analysis showed that DRO1 plays a critical role in the root and tiller development associated with auxin transport. These data suggest that the RSA and tiller development are regulated by the IGT family genes in an intricate network way, which is tightly related to rice genetic background in rice adapting to different environmental conditions.
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Affiliation(s)
- Jianping Zhao
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Lihui Jiang
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Hanrui Bai
- Division of Life Sciences and Medicine, College of Life Sciences, University of Science and Technology of China, Hefei, China
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, China
| | - Yuliang Dai
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Kuixiu Li
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Saijie Li
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Xiaoran Wang
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Lixia Wu
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Qijing Fu
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Yanfen Yang
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Qian Dong
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Si Yu
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Meixian Wang
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Haiyan Liu
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
| | - Ziai Peng
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Haiyan Zhu
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Xiaoyan Zhang
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Xie He
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Yan Lei
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Yan Liang
- Yuguopu District Agricultural Comprehensive Service Center, Mengzi, China
| | - Liwei Guo
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Hongji Zhang
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Decai Yu
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Yixiang Liu
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Huichuan Huang
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Changning Liu
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, China
| | - Sheng Peng
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
| | - Yunlong Du
- College of Plant Protection, Yunnan Agricultural University, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China
- Key Laboratory of Agro-Biodiversity and Pest Management of Education Ministry of China, Yunnan Agricultural University, Kunming, China
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67
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Li Y, Zhang S, Zhang D, Li X, Gao Z, Jiang Z. The miR166–mRNA network regulates vascular tissue differentiation in Moso bamboo. Front Genet 2022; 13:893956. [PMID: 36035181 PMCID: PMC9412049 DOI: 10.3389/fgene.2022.893956] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 06/27/2022] [Indexed: 11/13/2022] Open
Abstract
miR166s play an important role in plant tissue differentiation. However, the functions of miR166s in the differentiation of vascular tissue in bamboo have not yet been elucidated. Here, we showed that five miR166s are overexpressed (tags per million reads > 2,000) in underground shoot samples of wild-type (WT) Moso bamboo (Phyllostachys edulis) and a thick-walled variant (P. edulis “Pachyloen”) throughout the developmental process. Potential targets of these miR166s include some genes encoding homeodomain-leucine zipper (HD-ZIP) transcription factors and protein kinases. Cleavage sites for miR166s were identified in seven PeHD-ZIP homologs and a protein kinase gene via degradome sequencing (p < 0.05). Dual-luciferase and transient expression assays confirmed the binding of miR166s to PeHOXs. Fluorescence in situ hybridization revealed that miR166s were localized to the xylem of the leaf, root, and internode of 2-month-old pot seedlings of WT Moso bamboo. Overall, these findings reveal that miR166s are regulators of vascular tissue differentiation in bamboo. The miR166s identified in our study provide novel targets for bamboo breeding.
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Affiliation(s)
- Ying Li
- National State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, China
- *Correspondence: Ying Li, ; Zehui Jiang,
| | - Shuqin Zhang
- National State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, China
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China
| | - Xueping Li
- National State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, China
| | - Zhimin Gao
- National State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, China
| | - Zehui Jiang
- National State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing, China
- *Correspondence: Ying Li, ; Zehui Jiang,
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68
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Pietrykowska H, Sierocka I, Zielezinski A, Alisha A, Carrasco-Sanchez JC, Jarmolowski A, Karlowski WM, Szweykowska-Kulinska Z. Biogenesis, conservation, and function of miRNA in liverworts. JOURNAL OF EXPERIMENTAL BOTANY 2022; 73:4528-4545. [PMID: 35275209 PMCID: PMC9291395 DOI: 10.1093/jxb/erac098] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 03/07/2022] [Indexed: 06/01/2023]
Abstract
MicroRNAs (miRNAs) are small non-coding endogenous RNA molecules, 18-24 nucleotides long, that control multiple gene regulatory pathways via post-transcriptional gene silencing in eukaryotes. To develop a comprehensive picture of the evolutionary history of miRNA biogenesis and action in land plants, studies on bryophyte representatives are needed. Here, we review current understanding of liverwort MIR gene structure, miRNA biogenesis, and function, focusing on the simple thalloid Pellia endiviifolia and the complex thalloid Marchantia polymorpha. We review what is known about conserved and non-conserved miRNAs, their targets, and the functional implications of miRNA action in M. polymorpha and P. endiviifolia. We note that most M. polymorpha miRNAs are encoded within protein-coding genes and provide data for 23 MIR gene structures recognized as independent transcriptional units. We identify M. polymorpha genes involved in miRNA biogenesis that are homologous to those identified in higher plants, including those encoding core microprocessor components and other auxiliary and regulatory proteins that influence the stability, folding, and processing of pri-miRNAs. We analyzed miRNA biogenesis proteins and found similar domain architecture in most cases. Our data support the hypothesis that almost all miRNA biogenesis factors in higher plants are also present in liverworts, suggesting that they emerged early during land plant evolution.
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Affiliation(s)
| | | | - Andrzej Zielezinski
- Department of Computational Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
| | - Alisha Alisha
- Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
| | - Juan Carlo Carrasco-Sanchez
- Department of Computational Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
| | - Artur Jarmolowski
- Department of Gene Expression, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Uniwersytetu Poznanskiego 6, 61-614 Poznan, Poland
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Zhang T, Zhai J, Zhang X, Ling L, Li M, Xie S, Song M, Ma C. Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA. GENOMICS, PROTEOMICS & BIOINFORMATICS 2022; 20:557-567. [PMID: 34332120 PMCID: PMC9801042 DOI: 10.1016/j.gpb.2021.02.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 12/15/2020] [Accepted: 03/06/2021] [Indexed: 01/26/2023]
Abstract
MicroRNAs (miRNAs) are important regulators of gene expression. The large-scale detection and profiling of miRNAs have been accelerated with the development of high-throughput small RNA sequencing (sRNA-Seq) techniques and bioinformatics tools. However, generating high-quality comprehensive miRNA annotations remains challenging due to the intrinsic complexity of sRNA-Seq data and inherent limitations of existing miRNA prediction tools. Here, we present iwa-miRNA, a Galaxy-based framework that can facilitate miRNA annotation in plant species by combining computational analysis and manual curation. iwa-miRNA is specifically designed to generate a comprehensive list of miRNA candidates, bridging the gap between already annotated miRNAs provided by public miRNA databases and new predictions from sRNA-Seq datasets. It can also assist users in selecting promising miRNA candidates in an interactive mode, contributing to the accessibility and reproducibility of genome-wide miRNA annotation. iwa-miRNA is user-friendly and can be easily deployed as a web application for researchers without programming experience. With flexible, interactive, and easy-to-use features, iwa-miRNA is a valuable tool for the annotation of miRNAs in plant species with reference genomes. We also illustrate the application of iwa-miRNA for miRNA annotation using data from plant species with varying genomic complexity. The source codes and web server of iwa-miRNA are freely accessible at http://iwa-miRNA.omicstudio.cloud/.
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Affiliation(s)
- Ting Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling 712100, China,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China
| | - Jingjing Zhai
- State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling 712100, China,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China
| | - Xiaorong Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling 712100, China,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China
| | - Lei Ling
- State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling 712100, China,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China
| | - Menghan Li
- College of Plant Science, Tibet Agricultural and Animal Husbandry University, Linzhi 860006, China
| | - Shang Xie
- State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling 712100, China,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China
| | - Minggui Song
- College of Information Engineering, Northwest A&F University, Yangling 712100, China
| | - Chuang Ma
- State Key Laboratory of Crop Stress Biology for Arid Areas, Center of Bioinformatics, College of Life Sciences, Northwest A&F University, Yangling 712100, China,Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, China,Corresponding author.
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70
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Srikakulam N, Guria A, Karanthamalai J, Murugesan V, Krishnan V, Sundaramoorthy K, Saha S, Singh R, Victorathisayam T, Rajapriya V, Sridevi G, Pandi G. An Insight Into Pentatricopeptide-Mediated Chloroplast Necrosis via microRNA395a During Rhizoctonia solani Infection. Front Genet 2022; 13:869465. [PMID: 35706449 PMCID: PMC9189367 DOI: 10.3389/fgene.2022.869465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Sheath blight (ShB) disease, caused by Rhizoctonia solani, is one of the major biotic stress-oriented diseases that adversely affect the rice productivity worldwide. However, the regulatory mechanisms are not understood yet comprehensively. In the current study, we had investigated the potential roles of miRNAs in economically important indica rice variety Pusa Basmati-1 upon R. solani infection by carrying out in-depth, high-throughput small RNA sequencing with a total data size of 435 million paired-end raw reads from rice leaf RNA samples collected at different time points. Detailed data analysis revealed a total of 468 known mature miRNAs and 747 putative novel miRNAs across all the libraries. Target prediction and Gene Ontology functional analysis of these miRNAs were found to be unraveling various cellular, molecular, and biological functions by targeting various plant defense-related genes. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed to validate the miRNAs and their putative target genes. Out of the selected miRNA-specific putative target genes, miR395a binding and its cleavage site on pentatricopeptide were determined by 5’ RACE-PCR. It might be possible that R. solani instigated chloroplast degradation by modulating the pentatricopeptide which led to increased susceptibility to fungal infection.
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71
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Construction and characterization of a de novo draft genome of garden cress (Lepidium sativum L.). Funct Integr Genomics 2022; 22:879-889. [PMID: 35596045 DOI: 10.1007/s10142-022-00866-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 05/11/2022] [Indexed: 11/04/2022]
Abstract
Garden cress (Lepidium sativum L.) is a Brassicaceae crop recognized as a healthy vegetable and a medicinal plant. Lepidium is one of the largest genera in Brassicaceae, yet, the genus has not been a focus of extensive genomic research. In the present work, garden cress genome was sequenced using the long read high-fidelity sequencing technology. A de novo, draft genome assembly that spans 336.5 Mb was produced, corresponding to 88.6% of the estimated genome size and representing 90% of the evolutionarily expected orthologous gene content. Protein coding gene content was structurally predicted and functionally annotated, resulting in the identification of 25,668 putative genes. A total of 599 candidate disease resistance genes were identified by predicting resistance gene domains in gene structures, and 37 genes were detected as orthologs of heavy metal associated protein coding genes. In addition, 4289 genes were assigned as "transcription factor coding." Six different machine learning algorithms were trained and tested for their performance in classifying miRNA coding genomic sequences. Logistic regression proved the best performing trained algorithm, thus utilized for pre-miRNA coding loci identification in the assembly. Repetitive DNA analysis involved the characterization of transposable element and microsatellite contents. L. sativum chloroplast genome was also assembled and functionally annotated. Data produced in the present work is expected to constitute a foundation for genomic research in garden cress and contribute to genomics-assisted crop improvement and genome evolution studies in the Brassicaceae family.
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72
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Begum Y. Regulatory role of microRNAs (miRNAs) in the recent development of abiotic stress tolerance of plants. Gene 2022; 821:146283. [PMID: 35143944 DOI: 10.1016/j.gene.2022.146283] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/12/2022] [Accepted: 02/03/2022] [Indexed: 12/21/2022]
Abstract
MicroRNAs (miRNAs) are a distinct groups of single-stranded non-coding, tiny regulatory RNAs approximately 20-24 nucleotides in length. miRNAs negatively influence gene expression at the post-transcriptional level and have evolved considerably in the development of abiotic stress tolerance in a number of model plants and economically important crop species. The present review aims to deliver the information on miRNA-mediated regulation of the expression of major genes or Transcription Factors (TFs), as well as genetic and regulatory pathways. Also, the information on adaptive mechanisms involved in plant abiotic stress responses, prediction, and validation of targets, computational tools, and databases available for plant miRNAs, specifically focus on their exploration for engineering abiotic stress tolerance in plants. The regulatory function of miRNAs in plant growth, development, and abiotic stresses consider in this review, which uses high-throughput sequencing (HTS) technologies to generate large-scale libraries of small RNAs (sRNAs) for conventional screening of known and novel abiotic stress-responsive miRNAs adds complexity to regulatory networks in plants. The discoveries of miRNA-mediated tolerance to multiple abiotic stresses, including salinity, drought, cold, heat stress, nutritional deficiency, UV-radiation, oxidative stress, hypoxia, and heavy metal toxicity, are highlighted and discussed in this review.
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Affiliation(s)
- Yasmin Begum
- Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, 92, APC Road, Kolkata 700009, West Bengal, India; Center of Excellence in Systems Biology and Biomedical Engineering (TEQIP Phase-III), University of Calcutta, JD-2, Sector III, Salt Lake, Kolkata 700106, West Bengal, India.
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73
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Wang J, Jiang X, Bai H, Liu C. Genome-wide identification, classification and expression analysis of the JmjC domain-containing histone demethylase gene family in Jatropha curcas L. Sci Rep 2022; 12:6543. [PMID: 35449230 PMCID: PMC9023485 DOI: 10.1038/s41598-022-10584-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 04/05/2022] [Indexed: 12/20/2022] Open
Abstract
JmjC domain-containing proteins, an important family of histone lysine demethylase, play significant roles in maintaining the homeostasis of histone methylation. In this study, we comprehensively analyzed the JmjC domain-containing gene family in Jatropha curcas and found 20 JmjC domain-containing genes (JcJMJ genes). Phylogenetic analysis revealed that these JcJMJ genes can be classified into five major subgroups, and genes in each subgroup had similar motif and domain composition. Cis-regulatory element analysis showed that the number and types of cis-regulatory elements owned by the promoter of JcJMJ genes in different subgroup were significantly different. Moreover, miRNA target prediction result revealed a complicated miRNA-mediated post-transcriptional regulatory network, in which JcJMJ genes were regulated by different numbers and types of miRNAs. Further analysis of the tissue and stress expression profiles showed that many JcJMJ genes had tissue and stress expression specificity. All these results provided valuable information for understanding the evolution of JcJMJ genes and the complex transcriptional and post transcriptional regulation involved, and laid the foundation for further functional analysis of JcJMJ genes.
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Affiliation(s)
- Jie Wang
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650223, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiaoke Jiang
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650223, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hanrui Bai
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650223, China
- College of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China
| | - Changning Liu
- CAS Key Laboratory of Tropical Plant Resources and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, 650223, China.
- Center of Economic Botany, Core Botanical Gardens, Chinese Academy of Sciences, Menglun, MenglaYunnan, 666303, China.
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74
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Rabuma T, Gupta OP, Chhokar V. Recent advances and potential applications of cross-kingdom movement of miRNAs in modulating plant's disease response. RNA Biol 2022; 19:519-532. [PMID: 35442163 PMCID: PMC9037536 DOI: 10.1080/15476286.2022.2062172] [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] [Indexed: 12/24/2022] Open
Abstract
In the recent past, cross-kingdom movement of miRNAs, small (20–25 bases), and endogenous regulatory RNA molecules has emerged as one of the major research areas to understand the potential implications in modulating the plant’s biotic stress response. The current review discussed the recent developments in the mechanism of cross-kingdom movement (long and short distance) and critical cross-talk between host’s miRNAs in regulating gene function in bacteria, fungi, viruses, insects, and nematodes, and vice-versa during host-pathogen interaction and their potential implications in crop protection. Moreover, cross-kingdom movement during symbiotic interaction, the emerging role of plant’s miRNAs in modulating animal’s gene function, and feasibility of spray-induced gene silencing (SIGS) in combating biotic stresses in plants are also critically evaluated. The current review article analysed the horizontal transfer of miRNAs among plants, animals, and microbes that regulates gene expression in the host or pathogenic organisms, contributing to crop protection. Further, it highlighted the challenges and opportunities to harness the full potential of this emerging approach to mitigate biotic stress efficiently.
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Affiliation(s)
- Tilahun Rabuma
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, INDIA.,Department of Biotechnology, College of Natural and Computational Science, Wolkite University, Wolkite, Ethiopia
| | - Om Prakash Gupta
- Division of Quality and Basic Sciences, ICAR-Indian Institute of Wheat and Barley Research, Karnal, INDIA
| | - Vinod Chhokar
- Department of Bio and Nano Technology, Guru Jambheshwar University of Science and Technology, Hisar, INDIA
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75
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Ma K, Xu R, Zhao Y, Han L, Xu Y, Li L, Wang J, Li N. Walnut N-Acetylserotonin Methyltransferase Gene Family Genome-Wide Identification and Diverse Functions Characterization During Flower Bud Development. FRONTIERS IN PLANT SCIENCE 2022; 13:861043. [PMID: 35498672 PMCID: PMC9051526 DOI: 10.3389/fpls.2022.861043] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/28/2022] [Indexed: 05/24/2023]
Abstract
Melatonin widely mediates multiple developmental dynamics in plants as a vital growth stimulator, stress protector, and developmental regulator. N-acetylserotonin methyltransferase (ASMT) is the key enzyme that catalyzes the final step of melatonin biosynthesis in plants and plays an essential role in the plant melatonin regulatory network. Studies of ASMT have contributed to understanding the mechanism of melatonin biosynthesis in plants. However, AMST gene is currently uncharacterized in most plants. In this study, we characterized the JrASMT gene family using bioinformatics in a melatonin-rich plant, walnut. Phylogenetic, gene structure, conserved motifs, promoter elements, interacting proteins and miRNA analyses were also performed. The expansion and differentiation of the ASMT family occurred before the onset of the plant terrestrialization. ASMT genes were more differentiated in dicotyledonous plants. Forty-six ASMT genes were distributed in clusters on 10 chromosomes of walnut. Four JrASMT genes had homologous relationships both within walnut and between species. Cis-regulatory elements showed that JrASMT was mainly induced by light and hormones, and targeted cleavage of miRNA172 and miR399 may be an important pathway to suppress JrASMT expression. Transcriptome data showed that 13 JrASMT were differentially expressed at different periods of walnut bud development. WGCNA showed that JrASMT1/10/13/23 were coexpressed with genes regulating cell fate and epigenetic modifications during early physiological differentiation of walnut female flower buds. JrASMT12/28/37/40 were highly expressed during morphological differentiation of flower buds, associated with altered stress capacity of walnut flower buds, and predicted to be involved in the regulatory network of abscisic acid, salicylic acid, and cytokinin in walnut. The qRT-PCR validated the results of differential expression analysis and further provided three JrASMT genes with different expression profiles in walnut flower bud development. Our study explored the evolutionary relationships of the plant ASMT gene family and the functional characteristics of walnut JrASMT. It provides a valuable perspective for further understanding the complex melatonin mechanisms in plant developmental regulation.
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Affiliation(s)
- Kai Ma
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
- Xinjiang Fruit Science Experiment Station, Ministry of Agriculture and Rural Affairs, Urumqi, China
| | - Ruiqiang Xu
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
| | - Yu Zhao
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
- Xinjiang Fruit Science Experiment Station, Ministry of Agriculture and Rural Affairs, Urumqi, China
| | - Liqun Han
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
- Xinjiang Fruit Science Experiment Station, Ministry of Agriculture and Rural Affairs, Urumqi, China
| | - Yuhui Xu
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
| | - Lili Li
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
- Xinjiang Fruit Science Experiment Station, Ministry of Agriculture and Rural Affairs, Urumqi, China
| | - Juan Wang
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
| | - Ning Li
- Institute of Horticultural Crops, Xinjiang Academy of Agricultural Sciences, Urumqi, China
- Key Laboratory of Horticulture Crop Genomics and Genetic Improvement in Xinjiang, Urumqi, China
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76
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Chao H, Hu Y, Zhao L, Xin S, Ni Q, Zhang P, Chen M. Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants. Int J Mol Sci 2022; 23:ijms23073695. [PMID: 35409060 PMCID: PMC8998614 DOI: 10.3390/ijms23073695] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/19/2022] [Accepted: 03/23/2022] [Indexed: 12/14/2022] Open
Abstract
Plant transcriptomes encompass a large number of functional non-coding RNAs (ncRNAs), only some of which have protein-coding capacity. Since their initial discovery, ncRNAs have been classified into two broad categories based on their biogenesis and mechanisms of action, housekeeping ncRNAs and regulatory ncRNAs. With advances in RNA sequencing technology and computational methods, bioinformatics resources continue to emerge and update rapidly, including workflow for in silico ncRNA analysis, up-to-date platforms, databases, and tools dedicated to ncRNA identification and functional annotation. In this review, we aim to describe the biogenesis, biological functions, and interactions with DNA, RNA, protein, and microorganism of five major regulatory ncRNAs (miRNA, siRNA, tsRNA, circRNA, lncRNA) in plants. Then, we systematically summarize tools for analysis and prediction of plant ncRNAs, as well as databases. Furthermore, we discuss the silico analysis process of these ncRNAs and present a protocol for step-by-step computational analysis of ncRNAs. In general, this review will help researchers better understand the world of ncRNAs at multiple levels.
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Affiliation(s)
| | | | | | | | | | - Peijing Zhang
- Correspondence: (P.Z.); (M.C.); Tel./Fax: +86-(0)571-88206612 (M.C.)
| | - Ming Chen
- Correspondence: (P.Z.); (M.C.); Tel./Fax: +86-(0)571-88206612 (M.C.)
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77
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Li Y, Zhang D, Zhang S, Lou Y, An X, Jiang Z, Gao Z. Transcriptome and miRNAome analysis reveals components regulating tissue differentiation of bamboo shoots. PLANT PHYSIOLOGY 2022; 188:2182-2198. [PMID: 35157078 PMCID: PMC8968251 DOI: 10.1093/plphys/kiac018] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 12/17/2021] [Indexed: 05/27/2023]
Abstract
Primary thickening determines bamboo yield and wood property. However, little is known about the regulatory networks involved in this process. This study identified a total of 58,652 genes and 150 miRNAs via transcriptome and small RNA sequencing using the underground thickening shoot samples of wild-type (WT) Moso bamboo (Phyllostachys edulis) and a thick wall (TW) variant (P. edulis "Pachyloen") at five developmental stages (WTS1/TWS1-WTS5/TWS5). A total of 14,029 (65.17%) differentially expressed genes and 68 (45.33%) differentially expressed miRNAs were identified from the WT, TW, and WTTW groups. The first two groups were composed of four pairwise combinations, each between two successive stages (WTS2/TWS2_versus_WTS1/TWS1, WTS3/TWS3_versus_WTS2/TWS2, WTS4/TWS4_versus_WTS3/TWS3, and WTS5/TWS5_versus_WTS4/TWS4), and the WTTW group was composed of five combinations, each between two relative stages (TWS1-5_versus_WTS1-5). Additionally, among the phytohormones, zeatin showed more remarkable changes in concentrations than indole-3-acetic acid, gibberellic acid, and abscisic acid throughout the five stages in the WT and the TW groups. Moreover, 125 cleavage sites were identified for 387 miRNA-mRNA pairs via degradome sequencing (P < 0.05). The dual-luciferase reporter assay confirmed that 13 miRNAs bound to 12 targets. Fluorescence in situ hybridization localized miR166 and miR160 in the shoot apical meristem and the procambium of Moso bamboo shoots at the S1 stage. Thus, primary thickening is a complex process regulated by miRNA-gene-phytohormone networks, and the miRNAome and transcriptome dynamics regulate phenotypic plasticity. These findings provide insights into the molecular mechanisms underlying wood formation and properties and propose targets for bamboo breeding.
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Affiliation(s)
- Ying Li
- National State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing 100102, China
| | - Deqiang Zhang
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Shuqin Zhang
- National State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing 100102, China
| | - Yongfeng Lou
- Jiangxi Academy of Forestry, Jiangxi 330032, China
| | - Xinmin An
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
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Hussain A, Asif N, Pirzada AR, Noureen A, Shaukat J, Burhan A, Zaynab M, Ali E, Imran K, Ameen A, Mahmood MA, Nazar A, Mukhtar MS. Genome wide study of cysteine rich receptor like proteins in Gossypium sp. Sci Rep 2022; 12:4885. [PMID: 35318409 PMCID: PMC8941122 DOI: 10.1038/s41598-022-08943-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 03/11/2022] [Indexed: 02/08/2023] Open
Abstract
Cysteine-rich receptor-like-kinases (CRKs), a transmembrane subfamily of receptor-like kinase, play crucial roles in plant adaptation. As such cotton is the major source of fiber for the textile industry, but environmental stresses are limiting its growth and production. Here, we have performed a deep computational analysis of CRKs in five Gossypium species, including G. arboreum (60 genes), G. raimondii (74 genes), G. herbaceum (65 genes), G. hirsutum (118 genes), and G. barbadense (120 genes). All identified CRKs were classified into 11 major classes and 43 subclasses with the finding of several novel CRK-associated domains including ALMT, FUSC_2, Cript, FYVE, and Pkinase. Of these, DUF26_DUF26_Pkinase_Tyr was common and had elevated expression under different biotic and abiotic stresses. Moreover, the 35 land plants comparison identified several new CRKs domain-architectures. Likewise, several SNPs and InDels were observed in CLCuD resistant G. hirsutum. The miRNA target side prediction and their expression profiling in different tissues predicted miR172 as a major CRK regulating miR. The expression profiling of CRKs identified multiple clusters with co-expression under certain stress conditions. The expression analysis under CLCuD highlighted the role of GhCRK057, GhCRK059, GhCRK058, and GhCRK081 in resistant accession. Overall, these results provided primary data for future potential functional analysis as well as a reference study for other agronomically important crops.
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Affiliation(s)
- Athar Hussain
- Genomics Lab, School of Food and Agricultural Sciences (SFAS), University of Management and Technology (UMT), Lahore, 54000, Pakistan.
| | - Naila Asif
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Abdul Rafay Pirzada
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Azka Noureen
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan.,PMAS-Arid Agriculture University Rawalpindi, Rawalpindi, 46300, Pakistan
| | - Javeria Shaukat
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Akif Burhan
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Madiha Zaynab
- Shenzhen Key Laboratory of Marine Bioresource & Eco-Environmental Sciences, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, 51807, China
| | - Ejaz Ali
- Center of Excellence in Molecular Biology, University of Punjab, Lahore, 54000, Pakistan
| | - Koukab Imran
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Ayesha Ameen
- Office of Research Innovation and Commercialization, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - Muhammad Arslan Mahmood
- National Institute for Biotechnology and Genetic Engineering (NIBGE), College of Pakistan Institute of Engineering and Applied Sciences (PIEAS), Faisalabad, 38000, Pakistan
| | - Aquib Nazar
- Department of Life Sciences, School of Science, University of Management and Technology (UMT), Lahore, 54000, Pakistan
| | - M Shahid Mukhtar
- Department of Biology, the University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL, 35294, USA
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79
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Crescente JM, Zavallo D, Del Vas M, Asurmendi S, Helguera M, Fernandez E, Vanzetti LS. Genome-wide identification of MITE-derived microRNAs and their targets in bread wheat. BMC Genomics 2022; 23:154. [PMID: 35193500 PMCID: PMC8862332 DOI: 10.1186/s12864-022-08364-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 02/03/2022] [Indexed: 12/15/2022] Open
Abstract
Background Plant miRNAs are a class of small non-coding RNAs that can repress gene expression at the post-transcriptional level by targeting RNA degradation or promoting translational repression. There is increasing evidence that some miRNAs can derive from a group of non-autonomous class II transposable elements called Miniature Inverted-repeat Transposable Elements (MITEs). Results We used public small RNA and degradome libraries from Triticum aestivum to screen for microRNAs production and predict their cleavage target sites. In parallel, we also created a comprehensive wheat MITE database by identifying novel elements and compiling known ones. When comparing both data sets, we found high homology between MITEs and 14% of all the miRNAs production sites detected. Furthermore, we show that MITE-derived miRNAs have preference for targeting degradation sites with MITE insertions in the 3’ UTR regions of the transcripts. Conclusions Our results revealed that MITE-derived miRNAs can underlay the origin of some miRNAs and potentially shape a regulatory gene network. Since MITEs are found in millions of insertions in the wheat genome and are closely linked to genic regions, this kind of regulatory network could have a significant impact on the post-transcriptional control of gene expression. Supplementary Information The online version contains supplementary material available at (10.1186/s12864-022-08364-4).
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Affiliation(s)
- Juan M Crescente
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, Buenos Aires, CP C1425FQB, Argentina.
| | - Diego Zavallo
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), CICVyA - Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Los Reseros y Nicolás Repetto, Hurlingham, CP 1686, Argentina
| | - Mariana Del Vas
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), CICVyA - Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Los Reseros y Nicolás Repetto, Hurlingham, CP 1686, Argentina
| | - Sebastián Asurmendi
- Instituto de Agrobiotecnología y Biología Molecular (IABIMO), CICVyA - Instituto Nacional de Tecnología Agropecuaria (INTA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Los Reseros y Nicolás Repetto, Hurlingham, CP 1686, Argentina
| | - Marcelo Helguera
- Instituto Nacional de Tecnología Agropecuaria (INTA). EEA INTA Marcos Juárez, Ruta 12 s/n, Marcos Juarez, CP 2850, Argentina
| | - Elmer Fernandez
- Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas (CIDIE-CONICET), Universidad Católica de Córdoba, Córdoba, Argentina.,Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina
| | - Leonardo S Vanzetti
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2290, Buenos Aires, CP C1425FQB, Argentina.,Instituto Nacional de Tecnología Agropecuaria (INTA). EEA INTA Marcos Juárez, Ruta 12 s/n, Marcos Juarez, CP 2850, Argentina
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80
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Deng Y, Qin Y, Yang P, Du J, Kuang Z, Zhao Y, Wang Y, Li D, Wei J, Guo X, Li L, Yang X. Comprehensive Annotation and Functional Exploration of MicroRNAs in Lettuce. FRONTIERS IN PLANT SCIENCE 2021; 12:781836. [PMID: 35003165 PMCID: PMC8739914 DOI: 10.3389/fpls.2021.781836] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 10/28/2021] [Indexed: 05/28/2023]
Abstract
MicroRNA (miRNA) is an important endogenous post-transcriptional regulator, while lettuce (Lactuca sativa) is a leafy vegetable of global economic significance. However, there are few studies on miRNAs in lettuce, and research on miRNA regulatory network in lettuce is absent. In this study, through deep sequencing of small RNAs in different tissues, together with a reference genome, 157 high-confidence miRNA loci in lettuce were comprehensively identified, and their expression patterns were determined. Using a combination of computational prediction and high-throughput experimental verification, a set of reliable lettuce miRNA targets were obtained. Furthermore, through RNA-Seq, the expression profiles of these targets and a comprehensive view of the negative regulatory relationship between miRNAs and their targets was acquired based on a correlation analysis. To further understand miRNA functions, a miRNA regulatory network was constructed, with miRNAs at the core and combining transcription factors and miRNA target genes. This regulatory network, mainly composed of feed forward loop motifs, greatly increases understanding of the potential functions of miRNAs, and many unknown potential regulatory links were discovered. Finally, considering its specific expression pattern, Lsa-MIR408 as a hub gene was employed to illustrate the function of the regulatory network, and genetic experiments revealed its ability to increase the fresh weight and achene size of lettuce. In short, this work lays a solid foundation for the study of miRNA functions and regulatory networks in lettuce.
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Affiliation(s)
- Yang Deng
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing, China
| | - Yajuan Qin
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing, China
| | - Pan Yang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, China
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Jianjun Du
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing, China
| | - Zheng Kuang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Yongxin Zhao
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing, China
| | - Ying Wang
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Dayong Li
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing Vegetable Research Center, Beijing, China
| | - Jianhua Wei
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing, China
| | - Xinyu Guo
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Lab of Digital Plant, Beijing Research Center for Information Technology in Agriculture, Beijing, China
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Advanced Agricultural Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Xiaozeng Yang
- Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
- Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Agro-Biotechnology Research Center, Beijing, China
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81
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Patil S, Joshi S, Jamla M, Zhou X, Taherzadeh MJ, Suprasanna P, Kumar V. MicroRNA-mediated bioengineering for climate-resilience in crops. Bioengineered 2021; 12:10430-10456. [PMID: 34747296 PMCID: PMC8815627 DOI: 10.1080/21655979.2021.1997244] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/19/2021] [Accepted: 10/21/2021] [Indexed: 12/24/2022] Open
Abstract
Global projections on the climate change and the dynamic environmental perturbations indicate severe impacts on food security in general, and crop yield, vigor and the quality of produce in particular. Sessile plants respond to environmental challenges such as salt, drought, temperature, heavy metals at transcriptional and/or post-transcriptional levels through the stress-regulated network of pathways including transcription factors, proteins and the small non-coding endogenous RNAs. Amongs these, the miRNAs have gained unprecedented attention in recent years as key regulators for modulating gene expression in plants under stress. Hence, tailoring of miRNAs and their target pathways presents a promising strategy for developing multiple stress-tolerant crops. Plant stress tolerance has been successfully achieved through the over expression of microRNAs such as Os-miR408, Hv-miR82 for drought tolerance; OsmiR535A and artificial DST miRNA for salinity tolerance; and OsmiR535 and miR156 for combined drought and salt stress. Examples of miR408 overexpression also showed improved efficiency of irradiation utilization and carbon dioxide fixation in crop plants. Through this review, we present the current understanding about plant miRNAs, their roles in plant growth and stress-responses, the modern toolbox for identification, characterization and validation of miRNAs and their target genes including in silico tools, machine learning and artificial intelligence. Various approaches for up-regulation or knock-out of miRNAs have been discussed. The main emphasis has been given to the exploration of miRNAs for development of bioengineered climate-smart crops that can withstand changing climates and stressful environments, including combination of stresses, with very less or no yield penalties.
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Affiliation(s)
- Suraj Patil
- Department of Biotechnology, Modern College of Arts, Science and Commerce, Savitribai Phule Pune University, Pune, India
| | - Shrushti Joshi
- Department of Biotechnology, Modern College of Arts, Science and Commerce, Savitribai Phule Pune University, Pune, India
| | - Monica Jamla
- Department of Biotechnology, Modern College of Arts, Science and Commerce, Savitribai Phule Pune University, Pune, India
| | - Xianrong Zhou
- School of Life Science and Biotechnology, Yangtze Normal University, Ch-ongqing, China
| | | | - Penna Suprasanna
- Bhabha Atomic Research Centre, Homi Bhabha National Institute, Mumbai, India
| | - Vinay Kumar
- Department of Biotechnology, Modern College of Arts, Science and Commerce, Savitribai Phule Pune University, Pune, India
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82
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Fromm B, Høye E, Domanska D, Zhong X, Aparicio-Puerta E, Ovchinnikov V, Umu SU, Chabot PJ, Kang W, Aslanzadeh M, Tarbier M, Mármol-Sánchez E, Urgese G, Johansen M, Hovig E, Hackenberg M, Friedländer MR, Peterson KJ. MirGeneDB 2.1: toward a complete sampling of all major animal phyla. Nucleic Acids Res 2021; 50:D204-D210. [PMID: 34850127 PMCID: PMC8728216 DOI: 10.1093/nar/gkab1101] [Citation(s) in RCA: 90] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/20/2021] [Accepted: 11/23/2021] [Indexed: 12/03/2022] Open
Abstract
We describe an update of MirGeneDB, the manually curated microRNA gene database. Adhering to uniform and consistent criteria for microRNA annotation and nomenclature, we substantially expanded MirGeneDB with 30 additional species representing previously missing metazoan phyla such as sponges, jellyfish, rotifers and flatworms. MirGeneDB 2.1 now consists of 75 species spanning over ∼800 million years of animal evolution, and contains a total number of 16 670 microRNAs from 1549 families. Over 6000 microRNAs were added in this update using ∼550 datasets with ∼7.5 billion sequencing reads. By adding new phylogenetically important species, especially those relevant for the study of whole genome duplication events, and through updating evolutionary nodes of origin for many families and genes, we were able to substantially refine our nomenclature system. All changes are traceable in the specifically developed MirGeneDB version tracker. The performance of read-pages is improved and microRNA expression matrices for all tissues and species are now also downloadable. Altogether, this update represents a significant step toward a complete sampling of all major metazoan phyla, and a widely needed foundation for comparative microRNA genomics and transcriptomics studies. MirGeneDB 2.1 is part of RNAcentral and Elixir Norway, publicly and freely available at http://www.mirgenedb.org/.
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Affiliation(s)
- Bastian Fromm
- The Arctic University Museum of Norway, UiT- The Arctic University of Norway, Tromsø, Norway.,Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Eirik Høye
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Diana Domanska
- Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway.,Department of Pathology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Xiangfu Zhong
- Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden
| | - Ernesto Aparicio-Puerta
- Department of Genetics, Faculty of Sciences, MNAT Excellence Unit, University of Granada, Granada, Spain.,Biotechnology Institute, CIBM, Granada, Spain.,Biohealth Research Institute (ibs.GRANADA), University Hospitals of Granada, University of Granada, Granada, Spain
| | - Vladimir Ovchinnikov
- Computational and Molecular Evolutionary Biology Research Group, School of life sciences, Faculty of Medicine and Health Sciences, University of Nottingham, Nottingham, UK
| | - Sinan U Umu
- Department of Research, Cancer Registry of Norway, Oslo, Norway
| | - Peter J Chabot
- Department of Biological Sciences, Dartmouth College, Hanover, USA
| | - Wenjing Kang
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.,Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Solna, Sweden
| | - Morteza Aslanzadeh
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Marcel Tarbier
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.,Science for Life Laboratory, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden
| | - Emilio Mármol-Sánchez
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden
| | | | - Morten Johansen
- Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Oslo, Norway.,Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Michael Hackenberg
- Department of Genetics, Faculty of Sciences, MNAT Excellence Unit, University of Granada, Granada, Spain.,Biotechnology Institute, CIBM, Granada, Spain.,Biohealth Research Institute (ibs.GRANADA), University Hospitals of Granada, University of Granada, Granada, Spain
| | - Marc R Friedländer
- Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Kevin J Peterson
- Department of Biological Sciences, Dartmouth College, Hanover, USA
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83
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Zhang B, Tong Y, Luo K, Zhai Z, Liu X, Shi Z, Zhang D, Li D. Identification of GROWTH-REGULATING FACTOR transcription factors in lettuce (Lactuca sativa) genome and functional analysis of LsaGRF5 in leaf size regulation. BMC PLANT BIOLOGY 2021; 21:485. [PMID: 34688264 PMCID: PMC8539887 DOI: 10.1186/s12870-021-03261-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 10/06/2021] [Indexed: 05/03/2023]
Abstract
BACKGROUND GROWTH-REGULATING FACTORs (GRFs), a type of plant-specific transcription factors, play important roles in regulating plant growth and development. Although GRF gene family has been identified in various plant species, a genome-wide analysis of this family in lettuce (Lactuca sativa L.) has not been reported yet. RESULTS Here we identified 15 GRF genes in lettuce and performed comprehensive analysis of them, including chromosomal locations, gene structures, and conserved motifs. Through phylogenic analysis, we divided LsaGRFs into six groups. Transactivation assays and subcellular localization of LsaGRF5 showed that this protein is likely to act as a transcriptional factor in the cell nucleus. Furthermore, transgenic lettuce lines overexpressing LsaGRF5 exhibited larger leaves, while smaller leaves were observed in LsaMIR396a overexpression lines, in which LsaGRF5 was down-regulated. CONCLUSIONS These results in lettuce provide insight into the molecular mechanism of GRF gene family in regulating leaf growth and development and foundational information for genetic improvement of the lettuce variations specialized in leaf character.
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Affiliation(s)
- Bin Zhang
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, 100097, PR China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, PR China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs of the P. R. China, Beijing, 100097, PR China
| | - Yanan Tong
- Biotechnology Research Center, China Three Gorges University, Yichang, 443002, PR China
| | - Kangsheng Luo
- Biotechnology Research Center, China Three Gorges University, Yichang, 443002, PR China
| | - Zhaodong Zhai
- College of Life Sciences, Shandong Normal University, Jinan, 250014, PR China
| | - Xue Liu
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, 100097, PR China
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, PR China
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs of the P. R. China, Beijing, 100097, PR China
| | - Zhenying Shi
- CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, 200032, PR China
| | - Dechun Zhang
- Biotechnology Research Center, China Three Gorges University, Yichang, 443002, PR China.
| | - Dayong Li
- National Engineering Research Center for Vegetables, Beijing Vegetable Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing, 100097, PR China.
- Beijing Key Laboratory of Vegetable Germplasm Improvement, Beijing, 100097, PR China.
- Key Laboratory of Biology and Genetic Improvement of Horticultural Crops (North China), Ministry of Agriculture and Rural Affairs of the P. R. China, Beijing, 100097, PR China.
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84
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Kang Q, Meng J, Su C, Luan Y. Mining plant endogenous target mimics from miRNA-lncRNA interactions based on dual-path parallel ensemble pruning method. Brief Bioinform 2021; 23:6399881. [PMID: 34662389 DOI: 10.1093/bib/bbab440] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/07/2021] [Accepted: 09/24/2021] [Indexed: 12/14/2022] Open
Abstract
The interactions between microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) play important roles in biological activities. Specially, lncRNAs as endogenous target mimics (eTMs) can bind miRNAs to regulate the expressions of target messenger RNAs (mRNAs). A growing number of studies focus on animals, but the studies on plants are scarce and many functions of plant eTMs are unknown. This study proposes a novel ensemble pruning protocol for predicting plant miRNA-lncRNA interactions at first. It adaptively prunes the base models based on dual-path parallel ensemble method to meet the challenge of cross-species prediction. Then potential eTMs are mined from predicted results. The expression levels of RNAs are identified through biological experiment to construct the lncRNA-miRNA-mRNA regulatory network, and the functions of potential eTMs are inferred through enrichment analysis. Experiment results show that the proposed protocol outperforms existing methods and state-of-the-art predictors on various plant species. A total of 17 potential eTMs are verified by biological experiment to involve in 22 regulations, and 14 potential eTMs are inferred by Gene Ontology enrichment analysis to involve in 63 functions, which is significant for further research.
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Affiliation(s)
- Qiang Kang
- 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
| | - Chenglin Su
- School of Bioengineering, Dalian University of Technology, Dalian, Liaoning, 116024 China
| | - Yushi Luan
- School of Bioengineering, Dalian University of Technology, Dalian, Liaoning, 116024 China
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85
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Guo Z, Kuang Z, Zhao Y, Deng Y, He H, Wan M, Tao Y, Wang D, Wei J, Li L, Yang X. PmiREN2.0: from data annotation to functional exploration of plant microRNAs. Nucleic Acids Res 2021; 50:D1475-D1482. [PMID: 34554254 PMCID: PMC8728213 DOI: 10.1093/nar/gkab811] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/31/2021] [Accepted: 09/08/2021] [Indexed: 11/21/2022] Open
Abstract
Nearly 200 plant genomes have been sequenced over the last two years, and new functions of plant microRNAs (miRNAs) have been revealed. Therefore, timely update of the plant miRNA databases by incorporating miRNAs from the newly sequenced species and functional information is required to provide useful resources for advancing plant miRNA research. Here we report the update of PmiREN2.0 (https://pmiren.com/) with an addition of 19 363 miRNA entries from 91 plants, doubling the amount of data in the original version. Meanwhile, abundant regulatory information centred on miRNAs was added, including predicted upstream transcription factors through binding motifs scanning and elaborate annotation of miRNA targets. As an example, a genome-wide regulatory network centred on miRNAs was constructed for Arabidopsis. Furthermore, phylogenetic trees of conserved miRNA families were built to expand the understanding of miRNA evolution across the plant lineages. These data are helpful to deduce the regulatory relationships concerning miRNA functions in diverse plants. Beside the new data, a suite of design tools was incorporated to facilitate experimental practice. Finally, a forum named ‘PmiREN Community’ was added for discussion and resource and new discovery sharing. With these upgrades, PmiREN2.0 should serve the community better and accelerate miRNA research in plants.
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Affiliation(s)
- Zhonglong Guo
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China.,State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Zheng Kuang
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China.,State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Yongxin Zhao
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China
| | - Yang Deng
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China
| | - Hao He
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China
| | - Miaomiao Wan
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Yihan Tao
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Dong Wang
- WeiRan Biotech, Beijing 100085, P.R. China
| | - Jianhua Wei
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, Peking-Tsinghua Center for Life Sciences, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, P.R. China
| | - Xiaozeng Yang
- Beijing Agro-biotechnology Research Center, Beijing Key Laboratory of Agricultural Genetic Resources and Biotechnology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, P.R. China
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86
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Kavas M, Yıldırım K, Seçgin Z, Abdulla MF, Gökdemir G. Genome-wide identification of the BURP domain-containing genes in Phaseolus vulgaris. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2021; 27:1885-1902. [PMID: 34629769 PMCID: PMC8484419 DOI: 10.1007/s12298-021-01052-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/29/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
Plant-specific BURP domain-containing proteins have an essential role in the plant's development and stress responses. Although BURP domain-containing proteins have been identified in several plant species, genome-wide analysis of the BURP gene family has not been investigated in the common bean. In the present study, we identified 11 BURP family members in the common bean (Phaseolus vulgaris) genome with a comprehensive in silico analysis. Pairwise alignment and phylogenetic analyses grouped PvBURP members into four subfamilies [RD-22 like (3), PG1β-like (4), BNM2-like (3), and USP-like (1)] according to their amino acid motifs, protein domains and intron-exon structure. The physical and biochemical characteristics of amino acids, motif and intron-exon structure, and cis-regulatory elements of BURPs members were determined. Promoter regions of BURP members included stress, light, and hormone response-related cis-elements. Therefore, expression profiles of PvBURP genes were identified with in silico tools and qRT-PCR analyses under stress (salt and drought) and hormone treatment (ABA, IAA) in the current study. While significant activity changes were not observed in BURP genes in RNA-seq data sets related to salt stress, it was determined that some BURP genes were expressed differently in those with drought stress. We identified 12 different miRNA, including miRNA395, miRNA156, miRNA169, miRNA171, miRNA319, and miRNA390, targeting the nine PvBURP genes using two different in silico tools based on perfect or near-perfect complementarity to their targets. Here we present the first study to identify and characterize the BURP genes in common bean using whole-genome analysis, and the findings may serve as a reference for future functional research in common bean. SUPPLEMENTARY INFORMATION The online version contains supplementary material available at 10.1007/s12298-021-01052-9.
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Affiliation(s)
- Musa Kavas
- Department of Agricultural Biotechnology, Faculty of Agriculture, Ondokuz Mayıs University, Samsun, Turkey
| | - Kubilay Yıldırım
- Department of Molecular Biology and Genetics, Faculty of Arts and Sciences, Ondokuz Mayıs University, Samsun, Turkey
| | - Zafer Seçgin
- Department of Agricultural Biotechnology, Faculty of Agriculture, Ondokuz Mayıs University, Samsun, Turkey
| | - Mohamed Farah Abdulla
- Department of Agricultural Biotechnology, Faculty of Agriculture, Ondokuz Mayıs University, Samsun, Turkey
| | - Gökhan Gökdemir
- Department of Agricultural Biotechnology, Faculty of Agriculture, Ondokuz Mayıs University, Samsun, Turkey
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87
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Fang L, Wang Y. MicroRNAs in Woody Plants. FRONTIERS IN PLANT SCIENCE 2021; 12:686831. [PMID: 34531880 PMCID: PMC8438446 DOI: 10.3389/fpls.2021.686831] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 08/03/2021] [Indexed: 05/05/2023]
Abstract
MicroRNAs (miRNAs) are small (∼21-nucleotides) non-coding RNAs found in plant and animals. MiRNAs function as critical post-transcriptional regulators of gene expression by binding to complementary sequences in their target mRNAs, leading to mRNA destabilization and translational inhibition. Plant miRNAs have some distinct characteristics compared to their animal counterparts, including greater evolutionary conservation and unique miRNA processing methods. The lifecycle of a plant begins with embryogenesis and progresses through seed germination, vegetative growth, reproductive growth, flowering and fruiting, and finally senescence and death. MiRNAs participate in the transformation of plant growth and development and directly monitor progression of these processes and the expression of certain morphological characteristics by regulating transcription factor genes involved in cell growth and differentiation. In woody plants, a large and rapidly increasing number of miRNAs have been identified, but their biological functions are largely unknown. In this review, we summarize the progress of miRNA research in woody plants to date. In particular, we discuss the potential roles of these miRNAs in growth, development, and biotic and abiotic stresses responses in woody plants.
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Affiliation(s)
- Lisha Fang
- College of Forestry, Henan Agricultural University, Zhengzhou, China
| | - Yanmei Wang
- College of Forestry, Henan Agricultural University, Zhengzhou, China
- Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, United States
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88
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Chu L, He X, Shu W, Wang L, Tang F. Knockdown of miR393 Promotes the Growth and Biomass Production in Poplar. FRONTIERS IN PLANT SCIENCE 2021; 12:714907. [PMID: 34335671 PMCID: PMC8317616 DOI: 10.3389/fpls.2021.714907] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 06/21/2021] [Indexed: 06/13/2023]
Abstract
Short tandem target mimic (STTM), which is composed of two short sequences mimicking small RNA target sites, separated by a linker of optimal size, can block the functions of all members in a miRNA family. microRNA393 (miR393), which is one of the conserved miRNA families in plants, can regulate plant root growth, leaf development, plant architecture, and stress resistance. In order to verify the role of miR393 in the secondary growth of trees, we created its STTM transgenic poplar lines (STTM393). The expression of miR393 in STTM393 lines was reduced by over 10 times compared with the control plants. STTM393 lines showed promoted growth with about 20% higher, 15% thicker, and 2-4 more internodes than the control plants after 3 months of growth. The cross-section of the stems showed that STTM393 lines had wider phloem, xylem, and more cambium cell layers than control plants, and the lignin content in STTM393 lines was also higher as revealed by staining and chemical determination. Based on the transcriptome analysis, the genes related to the auxin signaling pathway, cell cyclin, cell expansion, and lignin synthesis had higher expression in STTM393 lines than that in control plants. The higher expression levels of FBL family members suggested that the auxin signaling pathway was strengthened in STTM393 lines to promote plant growth. Therefore, the knockdown of miR393 using the STTM approach provides a way to improve poplar growth and biomass production.
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Affiliation(s)
- Liwei Chu
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Xuejiao He
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
| | - Wenbo Shu
- Key Laboratory of Horticultural Plant Biology of Ministry of Education, College of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan, China
| | - Lijuan Wang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- Co-innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
| | - Fang Tang
- State Key Laboratory of Tree Genetics and Breeding, Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassland Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
- Co-innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, China
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89
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Jiang A, Guo Z, Pan J, Yang Y, Zhuang Y, Zuo D, Hao C, Gao Z, Xin P, Chu J, Zhong S, Li L. The PIF1-miR408-PLANTACYANIN repression cascade regulates light-dependent seed germination. THE PLANT CELL 2021; 33:1506-1529. [PMID: 33616669 PMCID: PMC8254493 DOI: 10.1093/plcell/koab060] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 02/11/2021] [Indexed: 05/15/2023]
Abstract
Light-dependent seed germination is a vital process for many seed plants. A decisive event in light-induced germination is degradation of the central repressor PHYTOCHROME INTERACTING FACTOR 1 (PIF1). The balance between gibberellic acid (GA) and abscisic acid (ABA) helps to control germination. However, the cellular mechanisms linking PIF1 turnover to hormonal balancing remain elusive. Here, employing far-red light-induced Arabidopsis thaliana seed germination as the experimental system, we identified PLANTACYANIN (PCY) as an inhibitor of germination. It is a blue copper protein associated with the vacuole that is both highly expressed in mature seeds and rapidly silenced during germination. Molecular analyses showed that PIF1 binds to the miR408 promoter and represses miR408 accumulation. This in turn posttranscriptionally modulates PCY abundance, forming the PIF1-miR408-PCY repression cascade for translating PIF1 turnover to PCY turnover during early germination. Genetic analysis, RNA-sequencing, and hormone quantification revealed that PCY is necessary and sufficient to maintain the PIF1-mediated seed transcriptome and the low-GA-high-ABA state. Furthermore, we found that PCY domain organization and regulation by miR408 are conserved features in seed plants. These results revealed a cellular mechanism whereby PIF1-relayed external light signals are converted through PCY turnover to internal hormonal profiles for controlling seed germination.
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Affiliation(s)
- Anlong Jiang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Zhonglong Guo
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Jiawei Pan
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Yanzhi Yang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Yan Zhuang
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Daqing Zuo
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Chen Hao
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Zhaoxu Gao
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Peiyong Xin
- National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jinfang Chu
- National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Shangwei Zhong
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Author for correspondence:
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90
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Li Y, Luo W, Sun Y, Chang H, Ma K, Zhao Z, Lu L. Identification and Expression Analysis of miR160 and Their Target Genes in Cucumber. Biochem Genet 2021; 60:127-152. [PMID: 34117971 DOI: 10.1007/s10528-021-10093-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 06/02/2021] [Indexed: 11/28/2022]
Abstract
miR160 plays a crucial role in various biological processes by regulating their target gene auxin response factor (ARF) in plants. However, little is known about miR160 and ARF in cucumber fruit expansion. Here, 4 Csa-MIR160 family members and 17 CsARFs were identified through a genome-wide search. Csa-miR160 showed a closer relationship with those in melon. Phylogenetic analysis revealed that CsARFs were divided into four classes and most of CsARFs presented a closer evolutionary relationship with those from tomato. Putative cis-elements analysis predicted that Csa-MIR160 and CsARFs were involved in light, phytohormone and stress response, which proved that they might take part in light, phytohormone and stress signaling pathway by the miR160-ARF module. In addition, CsARF5, CsARF11, CsARF13 and CsARF14 were predicted as the target genes of Csa-miR160. qRT-PCR revealed that Csa-miR160 and their target gene CsARFs were differentially expressed in differential cucumber tissues and developmental stages. Csa-miR160d was only expressed in the expanded cucumber fruit. CsARF5, CsARF11 and CsARF13 exhibited the lower expression in the expanded fruit than those in the ovary, while, CsARF14 showed the reverse trend. Our results suggested that Csa-miR160d might play a crucial role in cucumber fruit expansion by negatively targeting CsARF5, CsARF11 and CsARF13. This is the first genome-wide analysis of miR160 in cucumber. These findings provide useful information and resources for further studying the role of miR160 and ARF in cucumber fruit expansion.
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Affiliation(s)
- Yaoyao Li
- School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, 453003, China.,Henan Province Engineering Research Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, 453003, China
| | - Weirong Luo
- School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, 453003, China.,Henan Province Engineering Research Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, 453003, China
| | - Yongdong Sun
- School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, 453003, China. .,Henan Province Engineering Research Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, 453003, China.
| | - Huaicheng Chang
- School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, 453003, China.,Henan Province Engineering Research Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, 453003, China
| | - Kai Ma
- Institute of Horticulture, Henan Academy of Agricultural Sciences, Zhengzhou, 450002, China
| | - Zhenxiang Zhao
- School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, 453003, China.,Henan Province Engineering Research Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, 453003, China
| | - Lin Lu
- School of Horticulture and Landscape Architecture, Henan Institute of Science and Technology, Xinxiang, 453003, China.,Henan Province Engineering Research Center of Horticultural Plant Resource Utilization and Germplasm Enhancement, Xinxiang, 453003, China
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91
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Singh S, Singh A. A prescient evolutionary model for genesis, duplication and differentiation of MIR160 homologs in Brassicaceae. Mol Genet Genomics 2021; 296:985-1003. [PMID: 34052911 DOI: 10.1007/s00438-021-01797-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 05/21/2021] [Indexed: 12/18/2022]
Abstract
MicroRNA160 is a class of nitrogen-starvation responsive genes which governs establishment of root system architecture by down-regulating AUXIN RESPONSE FACTOR genes (ARF10, ARF16 and ARF17) in plants. The high copy number of MIR160 variants discovered by us from land plants, especially polyploid crop Brassicas, posed questions regarding genesis, duplication, evolution and function. Absence of studies on impact of whole genome and segmental duplication on retention and evolution of MIR160 homologs in descendent plant lineages prompted us to undertake the current study. Herein, we describe ancestry and fate of MIR160 homologs in Brassicaceae in context of polyploidy driven genome re-organization, copy number and differentiation. Paralogy amongst Brassicaceae MIR160a, MIR160b and MIR160c was inferred using phylogenetic analysis of 468 MIR160 homologs from land plants. The evolutionarily distinct MIR160a was found to represent ancestral form and progenitor of MIR160b and MIR160c. Chronology of evolutionary events resulting in origin and diversification of genomic loci containing MIR160 homologs was delineated using derivatives of comparative synteny. A prescient model for causality of segmental duplications in establishment of paralogy in Brassicaceae MIR160, with whole genome duplication accentuating the copy number increase, is being posited in which post-segmental duplication events viz. differential gene fractionation, gene duplications and inversions are shown to drive divergence of chromosome segments. While mutations caused the diversification of MIR160a, MIR160b and MIR160c, duplicated segments containing these diversified genes suffered gene rearrangements via gene loss, duplications and inversions. Yet the topology of phylogenetic and phenetic trees were found congruent suggesting similar evolutionary trajectory. Over 80% of Brassicaceae genomes and subgenomes showed a preferential retention of single copy each of MIR160a, MIR160b and MIR160c suggesting functional relevance. Thus, our study provides a blue-print for reconstructing ancestry and phylogeny of MIRNA gene families at genomics level and analyzing the impact of polyploidy on organismal complexity. Such studies are critical for understanding the molecular basis of agronomic traits and deploying appropriate candidates for crop improvement.
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Affiliation(s)
- Swati Singh
- Department of Biotechnology, TERI School of Advanced Studies, 10 Institutional Area, Vasant Kunj, New Delhi, 110070, India.,Department of Life Sciences, School of Basic Sciences and Research, Sharda University, Plot no. 32-34, Knowledge Park III, Greater Noida, Uttar Pradesh, 201310, India
| | - Anandita Singh
- Department of Biotechnology, TERI School of Advanced Studies, 10 Institutional Area, Vasant Kunj, New Delhi, 110070, India.
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92
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Liu J, Liu X, Zhang S, Liang S, Luan W, Ma X. TarDB: an online database for plant miRNA targets and miRNA-triggered phased siRNAs. BMC Genomics 2021; 22:348. [PMID: 33985427 PMCID: PMC8120726 DOI: 10.1186/s12864-021-07680-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Accepted: 05/05/2021] [Indexed: 12/20/2022] Open
Abstract
Background In plants, microRNAs (miRNAs) are pivotal regulators of plant development and stress responses. Different computational tools and web servers have been developed for plant miRNA target prediction; however, in silico prediction normally contains false positive results. In addition, many plant miRNA target prediction servers lack information for miRNA-triggered phased small interfering RNAs (phasiRNAs). Creating a comprehensive and relatively high-confidence plant miRNA target database is much needed. Results Here, we report TarDB, an online database that collects three categories of relatively high-confidence plant miRNA targets: (i) cross-species conserved miRNA targets; (ii) degradome/PARE (Parallel Analysis of RNA Ends) sequencing supported miRNA targets; (iii) miRNA-triggered phasiRNA loci. TarDB provides a user-friendly interface that enables users to easily search, browse and retrieve miRNA targets and miRNA initiated phasiRNAs in a broad variety of plants. TarDB has a comprehensive collection of reliable plant miRNA targets containing previously unreported miRNA targets and miRNA-triggered phasiRNAs even in the well-studied model species. Most of these novel miRNA targets are relevant to lineage-specific or species-specific miRNAs. TarDB data is freely available at http://www.biosequencing.cn/TarDB. Conclusions In summary, TarDB serves as a useful web resource for exploring relatively high-confidence miRNA targets and miRNA-triggered phasiRNAs in plants. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07680-5.
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Affiliation(s)
- Jing Liu
- College of Life Sciences, Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin, 300387, China
| | - Xiaonan Liu
- College of Life Sciences, Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin, 300387, China
| | - Siju Zhang
- College of Life Sciences, Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin, 300387, China
| | - Shanshan Liang
- College of Life Sciences, Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin, 300387, China
| | - Weijiang Luan
- College of Life Sciences, Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin, 300387, China
| | - Xuan Ma
- College of Life Sciences, Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin, 300387, China.
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93
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Zhang H, Guo Z, Zhuang Y, Suo Y, Du J, Gao Z, Pan J, Li L, Wang T, Xiao L, Qin G, Jiao Y, Cai H, Li L. MicroRNA775 regulates intrinsic leaf size and reduces cell wall pectin levels by targeting a galactosyltransferase gene in Arabidopsis. THE PLANT CELL 2021; 33:581-602. [PMID: 33955485 PMCID: PMC8136896 DOI: 10.1093/plcell/koaa049] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/16/2020] [Indexed: 05/10/2023]
Abstract
Plants possess unique primary cell walls made of complex polysaccharides that play critical roles in determining intrinsic cell and organ size. How genes responsible for synthesizing and modifying the polysaccharides in the cell wall are regulated by microRNAs (miRNAs) to control plant size remains largely unexplored. Here we identified 23 putative cell wall-related miRNAs, termed as CW-miRNAs, in Arabidopsis thaliana and characterized miR775 as an example. We showed that miR775 post-transcriptionally silences GALT9, which encodes an endomembrane-located galactosyltransferase belonging to the glycosyltransferase 31 family. Over-expression of miR775 and deletion of GALT9 led to significantly enlarged leaf-related organs, primarily due to increased cell size. Monosaccharide quantification, confocal Raman imaging, and immunolabeling combined with atomic force microscopy revealed that the MIR775A-GALT9 circuit modulates pectin levels and the elastic modulus of the cell wall. We also showed that MIR775A is directly repressed by the transcription factor ELONGATED HYPOCOTYL5 (HY5). Genetic analysis confirmed that HY5 is a negative regulator of leaf size that acts through the HY5-MIR775A-GALT9 repression cascade to control pectin levels. These findings demonstrate that miR775-regulated cell wall remodeling is an integral determinant of intrinsic leaf size in A. thaliana. Studying other CW-miRNAs would provide more insights into cell wall biology.
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Affiliation(s)
- He Zhang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Zhonglong Guo
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Yan Zhuang
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Yuanzhen Suo
- Biomedical Pioneering Innovation Center, School of Life Sciences and Beijing Advanced Innovation Center for Genomics, Peking University, Beijing 100871, China
| | - Jianmei Du
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Zhaoxu Gao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Jiawei Pan
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Li Li
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Tianxin Wang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Liang Xiao
- College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
| | - Genji Qin
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
| | - Yuling Jiao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and National Center for Plant Gene Research, 100101 Beijing, China
| | - Huaqing Cai
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Lei Li
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences and School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
- Author for correspondence:
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94
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Meng X, Li A, Yu B, Li S. Interplay between miRNAs and lncRNAs: Mode of action and biological roles in plant development and stress adaptation. Comput Struct Biotechnol J 2021; 19:2567-2574. [PMID: 34025943 PMCID: PMC8114054 DOI: 10.1016/j.csbj.2021.04.062] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 04/24/2021] [Accepted: 04/24/2021] [Indexed: 11/28/2022] Open
Abstract
Plants employ sophisticated mechanisms to control developmental processes and to cope with environmental changes at transcriptional and post-transcriptional levels. MicroRNAs (miRNAs) and long noncoding RNAs (lncRNAs), two classes of endogenous noncoding RNAs, are key regulators of gene expression in plants. Recent studies have identified the interplay between miRNAs and lncRNAs as a novel regulatory layer of gene expression in plants. On one hand, miRNAs target lncRNAs for the production of phased small interfering RNAs (phasiRNAs). On the other hand, lncRNAs serve as origin of miRNAs or regulate the accumulation or activity of miRNAs at transcription and post-transcriptional levels. Theses lncRNA-miRNA interplays are crucial for plant development, physiology and responses to biotic and abiotic stresses. In this review, we summarize recent advances in the biological roles, interaction mechanisms and computational predication methods of the interplay between miRNAs and lncRNAs in plants.
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Affiliation(s)
- Xiangxiang Meng
- Key Laboratory of Biofuels, Shandong Provincial Key Laboratory of Energy Genetics, Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
| | - Aixia Li
- The Key Laboratory of Plant Development and Environmental Adaptation Biology, Ministry of Education, School of Life Sciences, Shandong University, Qingdao 266237, China
| | - Bin Yu
- School of Biological Sciences & Center for Plant Science Innovation University of Nebraska-Lincoln, Lincoln, Nebraska 68588–0666, USA
| | - Shengjun Li
- Key Laboratory of Biofuels, Shandong Provincial Key Laboratory of Energy Genetics, Shandong Energy Institute, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
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95
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Wang S, Sun S, Guo R, Liao W, Shou H. Transcriptomic Profiling of Fe-Responsive lncRNAs and Their Regulatory Mechanism in Rice. Genes (Basel) 2021; 12:genes12040567. [PMID: 33919786 PMCID: PMC8070830 DOI: 10.3390/genes12040567] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/10/2021] [Accepted: 04/12/2021] [Indexed: 01/23/2023] Open
Abstract
Iron (Fe) deficiency directly affects crop growth and development, ultimately resulting in reduced crop yield and quality. Recently, long non-coding RNAs (lncRNAs) have been demonstrated to play critical regulatory roles in a multitude of pathways across numerous species. However, systematic screening of lncRNAs responding to Fe deficiency and their regulatory mechanism in plants has not been reported. In this work, 171 differently expressed lncRNAs (DE-lncRNAs) were identified based on analysis of strand-specific RNA-seq data from rice shoots and roots under Fe-deficient conditions. We also found several lncRNAs, which could generate miRNAs or act as endogenous target mimics to regulate expression of Fe-related genes. Analysis of interaction networks and gene ontology enrichment revealed that a number of DE-lncRNAs were associated with iron transport and photosynthesis, indicating a possible role of lncRNAs in regulation of Fe homeostasis. Moreover, we identified 76 potential lncRNA targets of OsbHLH156, a key regulator for transcriptional response to Fe deficiency. This study provides insight into the potential functions and regulatory mechanism of Fe-responsive lncRNAs and would be an initial and reference for any further studies regarding lncRNAs involved in Fe deficiency in plants.
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Affiliation(s)
- Shoudong Wang
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (S.W.); (S.S.); (R.G.); (W.L.)
- Key Laboratory of Soybean Molecular Design Breeding, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
| | - Shuo Sun
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (S.W.); (S.S.); (R.G.); (W.L.)
- The Provincial International Science and Technology Cooperation Base on Engineering Biology, International Campus of Zhejiang University, Haining 314400, China
| | - Runze Guo
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (S.W.); (S.S.); (R.G.); (W.L.)
| | - Wenying Liao
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (S.W.); (S.S.); (R.G.); (W.L.)
| | - Huixia Shou
- State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China; (S.W.); (S.S.); (R.G.); (W.L.)
- The Provincial International Science and Technology Cooperation Base on Engineering Biology, International Campus of Zhejiang University, Haining 314400, China
- Hainan Institute, Zhejiang University, Sanya 572025, China
- Correspondence: ; Tel.: +86-571-88206146
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96
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The role of miRNA in plant-virus interaction: a review. Mol Biol Rep 2021; 48:2853-2861. [PMID: 33772417 DOI: 10.1007/s11033-021-06290-4] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 03/13/2021] [Indexed: 01/20/2023]
Abstract
Plant viruses affect crop production both quantitatively and qualitatively. The viral genome consists of either DNA or RNA. However, most plant viruses are positive single-strand RNA viruses. MicroRNAs are involved in gene regulation and affect development as well as host-virus interaction. They are non-coding short with 20-24 nucleotides long capable of regulating gene expression. The miRNA gene is transcribed by RNA polymerase II to form pri-miRNA which will later cleaved by Dicer-like 1 to produce pre-miRNA with the help of HYPONASTIC LEAVES1 and SERRATE which finally methylated and exported via nucleopore with the help of HASTY. The outcome of plant virus interaction depends on the effectiveness of host defense and the ability of a virus counter-defense mechanism. In plants, miRNAs are involved in the repression of gene expression through transcript cleavage. On the other hand, viruses use viral suppressors of RNA silencing (VSRs) which affect RISC assembly and subsequent mRNA degradation. Passenger strands, miRNA*, have a significant biological function in plant defense response as well as plant development.
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97
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Zhao Y, Kuang Z, Wang Y, Li L, Yang X. MicroRNA annotation in plants: current status and challenges. Brief Bioinform 2021; 22:6180404. [PMID: 33754625 DOI: 10.1093/bib/bbab075] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 02/01/2021] [Accepted: 02/15/2021] [Indexed: 11/14/2022] Open
Abstract
Last two decades, the studies on microRNAs (miRNAs) and the numbers of annotated miRNAs in plants and animals have surged. Herein, we reviewed the current progress and challenges of miRNA annotation in plants. Via the comparison of plant and animal miRNAs, we pinpointed out the difficulties on plant miRNA annotation and proposed potential solutions. In terms of recalling the history of methods and criteria in plant miRNA annotation, we detailed how the major progresses made and evolved. By collecting and categorizing bioinformatics tools for plant miRNA annotation, we surveyed their advantages and disadvantages, especially for ones with the principle of mimicking the miRNA biogenesis pathway by parsing deeply sequenced small RNA (sRNA) libraries. In addition, we summarized all available databases hosting plant miRNAs, and posted the potential optimization solutions such as how to increase the signal-to-noise ratio (SNR) in these databases. Finally, we discussed the challenges and perspectives of plant miRNA annotations, and indicated the possibilities offered by an all-in-one tool and platform according to the integration of artificial intelligence.
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Affiliation(s)
- Yongxin Zhao
- Beijing Academy of Agriculture and Forestry Sciences, China
| | - Zheng Kuang
- Peking University and Beijing Academy of Agriculture and Forestry Sciences, China
| | | | - Lei Li
- School of Advanced Agricultural Sciences and School of Life Sciences at the Peking University, China
| | - Xiaozeng Yang
- Beijing Academy of Agriculture and Forestry Sciences, China
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98
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Alves A, Cordeiro D, Correia S, Miguel C. Small Non-Coding RNAs at the Crossroads of Regulatory Pathways Controlling Somatic Embryogenesis in Seed Plants. PLANTS (BASEL, SWITZERLAND) 2021; 10:504. [PMID: 33803088 PMCID: PMC8001652 DOI: 10.3390/plants10030504] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 02/26/2021] [Accepted: 03/01/2021] [Indexed: 11/25/2022]
Abstract
Small non-coding RNAs (sncRNAs) are molecules with important regulatory functions during development and environmental responses across all groups of terrestrial plants. In seed plants, the development of a mature embryo from the zygote follows a synchronized cell division sequence, and growth and differentiation events regulated by highly regulated gene expression. However, given the distinct features of the initial stages of embryogenesis in gymnosperms and angiosperms, it is relevant to investigate to what extent such differences emerge from differential regulation mediated by sncRNAs. Within these, the microRNAs (miRNAs) are the best characterized class, and while many miRNAs are conserved and significantly represented across angiosperms and other seed plants during embryogenesis, some miRNA families are specific to some plant lineages. Being a model to study zygotic embryogenesis and a relevant biotechnological tool, we systematized the current knowledge on the presence and characterization of miRNAs in somatic embryogenesis (SE) of seed plants, pinpointing the miRNAs that have been reported to be associated with SE in angiosperm and gymnosperm species. We start by conducting an overview of sncRNA expression profiles in the embryonic tissues of seed plants. We then highlight the miRNAs described as being involved in the different stages of the SE process, from its induction to the full maturation of the somatic embryos, adding references to zygotic embryogenesis when relevant, as a contribution towards a better understanding of miRNA-mediated regulation of SE.
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Affiliation(s)
- Ana Alves
- BioISI—Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal;
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, 2780-157 Oeiras, Portugal
| | - Daniela Cordeiro
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal; (D.C.); (S.C.)
| | - Sandra Correia
- Centre for Functional Ecology, Department of Life Sciences, University of Coimbra, Calçada Martim de Freitas, 3000-456 Coimbra, Portugal; (D.C.); (S.C.)
| | - Célia Miguel
- BioISI—Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, 1749-016 Lisboa, Portugal;
- iBET, Instituto de Biologia Experimental e Tecnológica, Apartado 12, 2781-901 Oeiras, Portugal
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99
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Khemka N, Singh Rajkumar M, Garg R, Jain M. Genome-wide profiling of miRNAs during seed development reveals their functional relevance in seed size/weight determination in chickpea. PLANT DIRECT 2021; 5:e00299. [PMID: 33738384 PMCID: PMC7954459 DOI: 10.1002/pld3.299] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 12/04/2020] [Accepted: 12/07/2020] [Indexed: 06/12/2023]
Abstract
MicroRNAs (miRNAs) are non-coding small RNAs that regulate gene expression at transcriptional and post-transcriptional levels. The role of miRNAs in seed development and seed size/weight determination is poorly understood in legumes. In this study, we profiled miRNAs at seven successive stages of seed development in a small-seeded and a large-seeded chickpea cultivar via small RNA sequencing. In total, 113 known and 243 novel miRNAs were identified. Gene ontology analysis revealed the enrichment of seed/reproductive/post-embryonic development and signaling pathways processes among the miRNA target genes. A large fraction of the target genes exhibited antagonistic correlation with miRNA expression. The sets of co-expressed miRNAs showing differential expression between the two cultivars were recognized. Known transcription factor (TF) encoding genes involved in seed size/weight determination, including SPL, GRF, MYB, ARF, HAIKU1, SHB1, KLUH/CYP78A5, and E2Fb along with novel genes were found to be targeted by the predicted miRNAs. Differential expression analysis revealed higher transcript levels of members of SPL and REVOLUTA TF families and lower expression of their corresponding miRNAs in the large-seeded cultivar. At least 19 miRNAs known to be involved in seed development or differentially expressed between small-seeded and large-seeded cultivars at late-embryogenesis and/or mid-maturation stages were located within known quantitative trait loci (QTLs) associated with seed size/weight determination. Moreover, 41 target genes of these miRNAs were also located within these QTLs. Altogether, we revealed important roles of miRNAs in seed development and identified candidate miRNAs and their target genes that have functional relevance in determining seed size/weight in chickpea.
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Affiliation(s)
- Niraj Khemka
- School of Computational & Integrative SciencesJawaharlal Nehru UniversityNew DelhiIndia
| | - Mohan Singh Rajkumar
- School of Computational & Integrative SciencesJawaharlal Nehru UniversityNew DelhiIndia
| | - Rohini Garg
- Department of Life SciencesSchool of Natural SciencesShiv Nadar UniversityGautam Buddha NagarUttar PradeshIndia
| | - Mukesh Jain
- School of Computational & Integrative SciencesJawaharlal Nehru UniversityNew DelhiIndia
- National Institute of Plant Genome Research (NIPGR)New DelhiIndia
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100
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Chen C, Li J, Feng J, Liu B, Feng L, Yu X, Li G, Zhai J, Meyers BC, Xia R. sRNAanno-a database repository of uniformly annotated small RNAs in plants. HORTICULTURE RESEARCH 2021; 8:45. [PMID: 33642576 PMCID: PMC7917102 DOI: 10.1038/s41438-021-00480-8] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 11/06/2020] [Accepted: 12/13/2020] [Indexed: 05/20/2023]
Abstract
Small RNAs (sRNAs) are essential regulatory molecules, and there are three major sRNA classes in plants: microRNAs (miRNAs), phased small interfering RNAs (phased siRNAs or phasiRNAs), and heterochromatic siRNAs (hc-siRNAs). Excluding miRNAs, the other two classes are not well annotated or available in public databases for most sequenced plant genomes. We performed a comprehensive sRNA annotation of 143 plant species that have fully sequenced genomes and next-generation sequencing sRNA data publicly available. The results are available via an online repository called sRNAanno ( www.plantsRNAs.org ). Compared with other public plant sRNA databases, we obtained was much more miRNA annotations, which are more complete and reliable because of the consistent and highly stringent criteria used in our miRNA annotations. sRNAanno also provides free access to genomic information for >22,721 PHAS loci and >22 million hc-siRNA loci annotated from these 143 plant species. Both miRNA and PHAS loci can be easily browsed to view their main features, and a collection of archetypal trans-acting siRNA 3 (TAS3) genes were annotated separately for quick access. To facilitate the ease of sRNA annotation, sRNAanno provides free service for sRNA annotations to the community. In summary, the sRNAanno database is a great resource to facilitate genomic and genetic research on plant small RNAs.
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Affiliation(s)
- Chengjie Chen
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China
| | - Jiawei Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China
| | - Junting Feng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China
| | - Bo Liu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China
| | - Lei Feng
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China
| | - Xiaoling Yu
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China
| | - Guanliang Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China
| | - Jixian Zhai
- Department of Biology & Institute of Plant and Food Science, Southern University of Science and Technology, Shenzhen, Guangdong, 518055, China
| | - Blake C Meyers
- Donald Danforth Plant Science Center, Saint Louis, MO, 63132, USA
- Division of Plant Sciences, University of Missouri-Columbia, Columbia, MO, 65211, USA
| | - Rui Xia
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China.
- Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, China.
- Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affairs, South China Agricultural University, Guangzhou, Guangdong, 510640, China.
- Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong, 510640, China.
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