101
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Alptekin B, Budak H. Wheat miRNA ancestors: evident by transcriptome analysis of A, B, and D genome donors. Funct Integr Genomics 2016; 17:171-187. [PMID: 27032785 DOI: 10.1007/s10142-016-0487-y] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Revised: 03/06/2016] [Accepted: 03/14/2016] [Indexed: 12/24/2022]
Abstract
MicroRNAs are critical players of post-transcriptional gene regulation with profound effects on the fundamental processes of cellular life. Their identification and characterization, together with their targets, hold great significance in exploring and exploiting their roles on a functional context, providing valuable clues into the regulation of important biological processes, such as stress tolerance or environmental adaptation. Wheat is a hardy crop, extensively harvested in temperate regions, and is a major component of the human diet. With the advent of the next generation sequencing technologies considerably decreasing sequencing costs per base-pair, genomic, and transcriptomic data from several wheat species, including the progenitors and wild relatives have become available. In this study, we performed in silico identification and comparative analysis of microRNA repertoires of bread wheat (Triticum aestivum L.) and its diploid progenitors and relatives, Aegilops sharonensis, Aegilops speltoides, Aegilops tauschii, Triticum monococcum, and Triticum urartu through the utilization of publicly available transcriptomic data. Over 200 miRNA families were identified, majority of which have not previously been reported. Ancestral relationships expanded our understanding of wheat miRNA evolution, while T. monococcum miRNAs delivered important clues on the effects of domestication on miRNA expression. Comparative analyses on wild Ae. sharonensis accessions highlighted candidate miRNAs that can be linked to stress tolerance. The miRNA repertoires of bread wheat and its diploid progenitors and relatives provide important insight into the diversification and distribution of miRNA genes, which should contribute to the elucidation of miRNA evolution of Poaceae family. A thorough understanding of the convergent and divergent expression profiles of miRNAs in different genetic backgrounds can provide unique opportunities to modulation of gene regulation for better crop performance.
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Affiliation(s)
- Burcu Alptekin
- Molecular Biology, Genetics and Bioengineering Program, Sabanci University, 34956, Istanbul, Turkey
| | - Hikmet Budak
- Molecular Biology, Genetics and Bioengineering Program, Sabanci University, 34956, Istanbul, Turkey.
- Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.
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102
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Deng P, Bian J, Yue H, Feng K, Wang M, Du X, Weining S, Nie X. Characterization of microRNAs and their targets in wild barley (Hordeum vulgare subsp. spontaneum) using deep sequencing. Genome 2016; 59:339-48. [PMID: 27100818 DOI: 10.1139/gen-2015-0224] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
MicroRNAs (miRNA) are a class of small, endogenous RNAs that play a negative regulatory role in various developmental and metabolic processes of plants. Wild barley (Hordeum vulgare subsp. spontaneum), as the progenitor of cultivated barley (Hordeum vulgare subsp. vulgare), has served as a valuable germplasm resource for barley genetic improvement. To survey miRNAs in wild barley, we sequenced the small RNA library prepared from wild barley using the Illumina deep sequencing technology. A total of 70 known miRNAs and 18 putative novel miRNAs were identified. Sequence analysis revealed that all of the miRNAs identified in wild barley contained the highly conserved hairpin sequences found in barley cultivars. MiRNA target predictions showed that 12 out of 52 miRNA families were predicted to target transcription factors, including 8 highly conserved miRNA families in plants and 4 wheat-barley conserved miRNA families. In addition to transcription factors, other predicted target genes were involved in diverse physiological and metabolic processes and stress defense. Our study for the first time reported the large-scale investigation of small RNAs in wild barley, which will provide essential information for understanding the regulatory role of miRNAs in wild barley and also shed light on future practical utilization of miRNAs for barley improvement.
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Affiliation(s)
- Pingchuan Deng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Jianxin Bian
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Hong Yue
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Kewei Feng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Mengxing Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xianghong Du
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Song Weining
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China.,State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy and Yangling Branch of China Wheat Improvement Center, Northwest A&F University, Yangling, Shaanxi 712100, China
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103
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Lunardon A, Forestan C, Farinati S, Axtell MJ, Varotto S. Genome-Wide Characterization of Maize Small RNA Loci and Their Regulation in the required to maintain repression6-1 (rmr6-1) Mutant and Long-Term Abiotic Stresses. PLANT PHYSIOLOGY 2016; 170:1535-48. [PMID: 26747286 PMCID: PMC4775107 DOI: 10.1104/pp.15.01205] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 01/04/2016] [Indexed: 05/03/2023]
Abstract
Endogenous small RNAs (sRNAs) contribute to gene regulation and genome homeostasis, but their activities and functions are incompletely known. The maize genome has a high number of transposable elements (TEs; almost 85%), some of which spawn abundant sRNAs. We performed sRNA and total RNA sequencing from control and abiotically stressed B73 wild-type plants and rmr6-1 mutants. RMR6 encodes the largest subunit of the RNA polymerase IV complex and is responsible for accumulation of most 24-nucleotide (nt) small interfering RNAs (siRNAs). We identified novel MIRNA loci and verified miR399 target conservation in maize. RMR6-dependent 23-24 nt siRNA loci were specifically enriched in the upstream region of the most highly expressed genes. Most genes misregulated in rmr6-1 did not show a significant correlation with loss of flanking siRNAs, but we identified one gene supporting existing models of direct gene regulation by TE-derived siRNAs. Long-term drought correlated with changes of miRNA and sRNA accumulation, in particular inducing down-regulation of a set of sRNA loci in the wild-typeleaf.
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Affiliation(s)
- Alice Lunardon
- Department of Agronomy, Animals, Food, Natural Resources and Environment, University of Padova, Agripolis Viale dell'Università 16, 35020 Legnaro PD Italy (A.L., C.F., S.F., S.V.); andDepartment of Biology and Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania 16802 (A.L., M.J.A.)
| | - Cristian Forestan
- Department of Agronomy, Animals, Food, Natural Resources and Environment, University of Padova, Agripolis Viale dell'Università 16, 35020 Legnaro PD Italy (A.L., C.F., S.F., S.V.); andDepartment of Biology and Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania 16802 (A.L., M.J.A.)
| | - Silvia Farinati
- Department of Agronomy, Animals, Food, Natural Resources and Environment, University of Padova, Agripolis Viale dell'Università 16, 35020 Legnaro PD Italy (A.L., C.F., S.F., S.V.); andDepartment of Biology and Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania 16802 (A.L., M.J.A.)
| | - Michael J Axtell
- Department of Agronomy, Animals, Food, Natural Resources and Environment, University of Padova, Agripolis Viale dell'Università 16, 35020 Legnaro PD Italy (A.L., C.F., S.F., S.V.); andDepartment of Biology and Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania 16802 (A.L., M.J.A.)
| | - Serena Varotto
- Department of Agronomy, Animals, Food, Natural Resources and Environment, University of Padova, Agripolis Viale dell'Università 16, 35020 Legnaro PD Italy (A.L., C.F., S.F., S.V.); andDepartment of Biology and Huck Institutes of the Life Sciences, Penn State University, University Park, Pennsylvania 16802 (A.L., M.J.A.)
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104
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de Sousa Cardoso TC, Portilho LG, de Oliveira CL, McKeown PC, Maluf WR, Gomes LAA, Teixeira TA, do Amaral LR, Spillane C, de Souza Gomes M. Genome-wide identification and in silico characterisation of microRNAs, their targets and processing pathway genes in Phaseolus vulgaris L. PLANT BIOLOGY (STUTTGART, GERMANY) 2016; 18:206-219. [PMID: 26250338 DOI: 10.1111/plb.12377] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2015] [Accepted: 08/03/2015] [Indexed: 06/04/2023]
Abstract
Common bean (Phaseolus vulgaris L., Fabaceae) is a globally important staple crop, which is an important source of calories, protein and essential micronutrients. At the genomic level little is known regarding the small non-coding RNAs within the common bean genome. One of the most important classes of such small non-coding RNAs is microRNAs (miRNAs), which control mRNA and protein expression levels in many eukaryotes. Computational methods have been applied to identify putative miRNAs in the genomes of different organisms. In this study, our objective was to comprehensively identify and characterise miRNAs from the genome and transcriptome of P. vulgaris, including both mature and precursor miRNA forms. We also sought to identify the putative proteins involved in miRNA processing and the likely target genes of common bean miRNAs. We identified 221 mature miRNAs and 136 precursor miRNAs distributed across 52 different miRNA families in the P. vulgaris genome. Amongst these, we distinguished 129 novel mature miRNAs and 123 miRNA precursors belonging to 24 different miRNA families. We also identified 31 proteins predicted to participate in the miRNA-processing pathway in P. vulgaris. Finally, we also identified 483 predicted miRNA targets, including many which corroborate results from other species, suggesting that miRNA regulatory systems are evolutionarily conserved and important for plant development. Our results expand the study of miRNAs and their target genes in common bean, and provide new opportunities to understand their roles in the biology of this important staple crop.
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Affiliation(s)
- T C de Sousa Cardoso
- Laboratory of Bioinformatics and Molecular Analysis - INGEB/FACOM, Federal University of Uberlandia, Patos de Minas, Brazil
| | - L G Portilho
- Laboratory of Bioinformatics and Molecular Analysis - INGEB/FACOM, Federal University of Uberlandia, Patos de Minas, Brazil
| | - C L de Oliveira
- Department of Agriculture, Federal University of Lavras, Lavras, Brazil
| | - P C McKeown
- Genetics and Biotechnology Laboratory, Plant and AgriBiosciences Research Centre (PABC), School of Natural Sciences, Áras de Brún, National University of Ireland, Galway, Ireland
| | - W R Maluf
- Department of Agriculture, Federal University of Lavras, Lavras, Brazil
| | - L A A Gomes
- Department of Agriculture, Federal University of Lavras, Lavras, Brazil
| | - T A Teixeira
- Laboratory of Bioinformatics and Molecular Analysis - INGEB/FACOM, Federal University of Uberlandia, Patos de Minas, Brazil
| | - L R do Amaral
- Laboratory of Bioinformatics and Molecular Analysis - INGEB/FACOM, Federal University of Uberlandia, Patos de Minas, Brazil
| | - C Spillane
- Genetics and Biotechnology Laboratory, Plant and AgriBiosciences Research Centre (PABC), School of Natural Sciences, Áras de Brún, National University of Ireland, Galway, Ireland
| | - M de Souza Gomes
- Laboratory of Bioinformatics and Molecular Analysis - INGEB/FACOM, Federal University of Uberlandia, Patos de Minas, Brazil
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105
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Megraw M, Cumbie JS, Ivanchenko MG, Filichkin SA. Small Genetic Circuits and MicroRNAs: Big Players in Polymerase II Transcriptional Control in Plants. THE PLANT CELL 2016; 28:286-303. [PMID: 26869700 PMCID: PMC4790873 DOI: 10.1105/tpc.15.00852] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Accepted: 02/10/2016] [Indexed: 05/11/2023]
Abstract
RNA Polymerase II (Pol II) regulatory cascades involving transcription factors (TFs) and their targets orchestrate the genetic circuitry of every eukaryotic organism. In order to understand how these cascades function, they can be dissected into small genetic networks, each containing just a few Pol II transcribed genes, that generate specific signal-processing outcomes. Small RNA regulatory circuits involve direct regulation of a small RNA by a TF and/or direct regulation of a TF by a small RNA and have been shown to play unique roles in many organisms. Here, we will focus on small RNA regulatory circuits containing Pol II transcribed microRNAs (miRNAs). While the role of miRNA-containing regulatory circuits as modular building blocks for the function of complex networks has long been on the forefront of studies in the animal kingdom, plant studies are poised to take a lead role in this area because of their advantages in probing transcriptional and posttranscriptional control of Pol II genes. The relative simplicity of tissue- and cell-type organization, miRNA targeting, and genomic structure make the Arabidopsis thaliana plant model uniquely amenable for small RNA regulatory circuit studies in a multicellular organism. In this Review, we cover analysis, tools, and validation methods for probing the component interactions in miRNA-containing regulatory circuits. We then review the important roles that plant miRNAs are playing in these circuits and summarize methods for the identification of small genetic circuits that strongly influence plant function. We conclude by noting areas of opportunity where new plant studies are imminently needed.
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Affiliation(s)
- Molly Megraw
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331 Department of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon 97331 Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon 97331
| | - Jason S Cumbie
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331
| | - Maria G Ivanchenko
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331
| | - Sergei A Filichkin
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331 Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon 97331
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106
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The genome of the seagrass Zostera marina reveals angiosperm adaptation to the sea. Nature 2016; 530:331-5. [PMID: 26814964 DOI: 10.1038/nature16548] [Citation(s) in RCA: 287] [Impact Index Per Article: 31.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 12/18/2015] [Indexed: 11/09/2022]
Abstract
Seagrasses colonized the sea on at least three independent occasions to form the basis of one of the most productive and widespread coastal ecosystems on the planet. Here we report the genome of Zostera marina (L.), the first, to our knowledge, marine angiosperm to be fully sequenced. This reveals unique insights into the genomic losses and gains involved in achieving the structural and physiological adaptations required for its marine lifestyle, arguably the most severe habitat shift ever accomplished by flowering plants. Key angiosperm innovations that were lost include the entire repertoire of stomatal genes, genes involved in the synthesis of terpenoids and ethylene signalling, and genes for ultraviolet protection and phytochromes for far-red sensing. Seagrasses have also regained functions enabling them to adjust to full salinity. Their cell walls contain all of the polysaccharides typical of land plants, but also contain polyanionic, low-methylated pectins and sulfated galactans, a feature shared with the cell walls of all macroalgae and that is important for ion homoeostasis, nutrient uptake and O2/CO2 exchange through leaf epidermal cells. The Z. marina genome resource will markedly advance a wide range of functional ecological studies from adaptation of marine ecosystems under climate warming, to unravelling the mechanisms of osmoregulation under high salinities that may further inform our understanding of the evolution of salt tolerance in crop plants.
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107
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Barrière Y, Courtial A, Chateigner-Boutin AL, Denoue D, Grima-Pettenati J. Breeding maize for silage and biofuel production, an illustration of a step forward with the genome sequence. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2016; 242:310-329. [PMID: 26566848 DOI: 10.1016/j.plantsci.2015.08.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 08/04/2015] [Accepted: 08/13/2015] [Indexed: 05/21/2023]
Abstract
The knowledge of the gene families mostly impacting cell wall digestibility variations would significantly increase the efficiency of marker-assisted selection when breeding maize and grass varieties with improved silage feeding value and/or with better straw fermentability into alcohol or methane. The maize genome sequence of the B73 inbred line was released at the end of 2009, opening up new avenues to identify the genetic determinants of quantitative traits. Colocalizations between a large set of candidate genes putatively involved in secondary cell wall assembly and QTLs for cell wall digestibility (IVNDFD) were then investigated, considering physical positions of both genes and QTLs. Based on available data from six RIL progenies, 59 QTLs corresponding to 38 non-overlapping positions were matched up with a list of 442 genes distributed all over the genome. Altogether, 176 genes colocalized with IVNDFD QTLs and most often, several candidate genes colocalized at each QTL position. Frequent QTL colocalizations were found firstly with genes encoding ZmMYB and ZmNAC transcription factors, and secondly with genes encoding zinc finger, bHLH, and xylogen regulation factors. In contrast, close colocalizations were less frequent with genes involved in monolignol biosynthesis, and found only with the C4H2, CCoAOMT5, and CCR1 genes. Close colocalizations were also infrequent with genes involved in cell wall feruloylation and cross-linkages. Altogether, investigated colocalizations between candidate genes and cell wall digestibility QTLs suggested a prevalent role of regulation factors over constitutive cell wall genes on digestibility variations.
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Affiliation(s)
- Yves Barrière
- INRA, UR889, Unité de Génétique et d'Amélioration des Plantes Fourragères, 86600 Lusignan, France.
| | - Audrey Courtial
- LRSV, Laboratoire de Recherche en Sciences Végétales, UMR5546, Université Paul Sabatier Toulouse III / CNRS, Auzeville, BP 42617, 31326 Castanet-Tolosan, France; INRA, US1258, Centre National de Ressources Génomiques Végétales, CS 52627, 31326 Castanet-Tolosan, France
| | | | - Dominique Denoue
- INRA, UR889, Unité de Génétique et d'Amélioration des Plantes Fourragères, 86600 Lusignan, France
| | - Jacqueline Grima-Pettenati
- LRSV, Laboratoire de Recherche en Sciences Végétales, UMR5546, Université Paul Sabatier Toulouse III / CNRS, Auzeville, BP 42617, 31326 Castanet-Tolosan, France
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108
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Gurjar AKS, Panwar AS, Gupta R, Mantri SS. PmiRExAt: plant miRNA expression atlas database and web applications. Database (Oxford) 2016. [PMID: 27081157 DOI: 10.1093/database/baw1060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
High-throughput small RNA (sRNA) sequencing technology enables an entirely new perspective for plant microRNA (miRNA) research and has immense potential to unravel regulatory networks. Novel insights gained through data mining in publically available rich resource of sRNA data will help in designing biotechnology-based approaches for crop improvement to enhance plant yield and nutritional value. Bioinformatics resources enabling meta-analysis of miRNA expression across multiple plant species are still evolving. Here, we report PmiRExAt, a new online database resource that caters plant miRNA expression atlas. The web-based repository comprises of miRNA expression profile and query tool for 1859 wheat, 2330 rice and 283 maize miRNA. The database interface offers open and easy access to miRNA expression profile and helps in identifying tissue preferential, differential and constitutively expressing miRNAs. A feature enabling expression study of conserved miRNA across multiple species is also implemented. Custom expression analysis feature enables expression analysis of novel miRNA in total 117 datasets. New sRNA dataset can also be uploaded for analysing miRNA expression profiles for 73 plant species. PmiRExAt application program interface, a simple object access protocol web service allows other programmers to remotely invoke the methods written for doing programmatic search operations on PmiRExAt database.Database URL:http://pmirexat.nabi.res.in.
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Affiliation(s)
- Anoop Kishor Singh Gurjar
- Computational Biology Laboratory, National Agri Food Biotechnology Institute (NABI), Mohali, Punjab, India
| | - Abhijeet Singh Panwar
- HPC-Tech, Center for Development of Advance Computing (C-DAC), Pune, Maharashtra, India
| | - Rajinder Gupta
- Computational Biology Laboratory, National Agri Food Biotechnology Institute (NABI), Mohali, Punjab, India
| | - Shrikant S Mantri
- Computational Biology Laboratory, National Agri Food Biotechnology Institute (NABI), Mohali, Punjab, India
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109
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Jian H, Wang J, Wang T, Wei L, Li J, Liu L. Identification of Rapeseed MicroRNAs Involved in Early Stage Seed Germination under Salt and Drought Stresses. FRONTIERS IN PLANT SCIENCE 2016; 7:658. [PMID: 27242859 PMCID: PMC4865509 DOI: 10.3389/fpls.2016.00658] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 04/29/2016] [Indexed: 05/18/2023]
Abstract
Drought and salinity are severe and wide-ranging abiotic stresses that substantially affect crop germination, development and productivity, and seed germination is the first critical step in plant growth and development. To comprehensively investigate small-RNA targets and improve our understanding of miRNA-mediated post-transcriptional regulation networks during Brassica napus seed imbibition under drought and salt stresses, we constructed three small-RNA libraries from B. napus variety ZS11 embryos exposed to salt (200 mM NaCl, denoted "S"), drought (200 g L(-1) PEG-6000, denoted "D"), and distilled water (denoted "CK") during imbibition and sequenced them using an Illumina Genome Analyzer. A total of 11,528,557, 12,080,081, and 12,315,608 raw reads were obtained from the CK, D, and S libraries, respectively. Further analysis identified 85 known miRNAs belonging to 31 miRNA families and 882 novel miRNAs among the three libraries. Comparison of the D and CK libraries revealed significant down-regulation of six miRNA families, miR156, miR169, miR860, miR399, miR171, and miR395, whereas only miR172 was significantly up-regulated. In contrast, comparison of the S library with the CK library showed significant down-regulation of only two miRNA families: miRNA393 and miRNA399. Putative targets for 336, 376, and 340 novel miRNAs were successfully predicted in the CK, D, and S libraries, respectively, and 271 miRNA families and 20 target gene families [including disease resistance protein (DIRP), drought-responsive family protein (DRRP), early responsive to dehydration stress protein (ERD), stress-responsive alpha-beta barrel domain protein (SRAP), and salt tolerance homolog2 (STH2)] were confirmed as being core miRNAs and genes involved in the seed imbibition response to salt and drought stresses. The sequencing results were partially validated by quantitative RT-PCR for both conserved and novel miRNAs as well as the predicted target genes. Our data suggest that diverse and complex miRNAs are involved in seed imbibition, indicating that miRNAs are involved in plant hormone regulation, and may play important roles during seed germination under salt- or drought-stress conditions.
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110
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Dukowic-Schulze S, Sundararajan A, Ramaraj T, Kianian S, Pawlowski WP, Mudge J, Chen C. Novel Meiotic miRNAs and Indications for a Role of PhasiRNAs in Meiosis. FRONTIERS IN PLANT SCIENCE 2016; 7:762. [PMID: 27313591 PMCID: PMC4889585 DOI: 10.3389/fpls.2016.00762] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 05/17/2016] [Indexed: 05/03/2023]
Abstract
Small RNAs (sRNA) add additional layers to the regulation of gene expression, with siRNAs directing gene silencing at the DNA level by RdDM (RNA-directed DNA methylation), and micro RNAs (miRNAs) directing post-transcriptional regulation of specific target genes, mostly by mRNA cleavage. We used manually isolated male meiocytes from maize (Zea mays) to investigate sRNA and DNA methylation landscapes during zygotene, an early stage of meiosis during which steps of meiotic recombination and synapsis of paired homologous chromosomes take place. We discovered two novel miRNAs from meiocytes, zma-MIR11969 and zma-MIR11970, and identified putative target genes. Furthermore, we detected abundant phasiRNAs of 21 and 24 nt length. PhasiRNAs are phased small RNAs which occur in 21 or 24 nt intervals, at a few hundred loci, specifically in male reproductive tissues in grasses. So far, the function of phasiRNAs remained elusive. Data from isolated meiocytes now revealed elevated DNA methylation at phasiRNA loci, especially in the CHH context, suggesting a role for phasiRNAs in cis DNA methylation. In addition, we consider a role of these phasiRNAs in chromatin remodeling/dynamics during meiosis. However, this is not well supported yet and will need more additional data. Here, we only lay out the idea due to other relevant literature and our additional observation of a peculiar GC content pattern at phasiRNA loci. Chromatin remodeling is also indicated by the discovery that histone genes were enriched for sRNA of 22 nt length. Taken together, we gained clues that lead us to hypothesize sRNA-driven DNA methylation and possibly chromatin remodeling during male meiosis in the monocot maize which is in line with and extends previous knowledge.
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Affiliation(s)
| | | | | | - Shahryar Kianian
- Cereal Disease Laboratory, United States Department of Agriculture – Agricultural Research Service, St. PaulMN, USA
| | - Wojciech P. Pawlowski
- Section of Plant Biology, School of Integrative Plant Science, Cornell University, IthacaNY, USA
| | - Joann Mudge
- National Center for Genome Resources, Santa FeNM, USA
| | - Changbin Chen
- Department of Horticultural Science, University of Minnesota, St. PaulMN, USA
- *Correspondence: Changbin Chen,
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111
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Bousios A, Diez CM, Takuno S, Bystry V, Darzentas N, Gaut BS. A role for palindromic structures in the cis-region of maize Sirevirus LTRs in transposable element evolution and host epigenetic response. Genome Res 2015; 26:226-37. [PMID: 26631490 PMCID: PMC4728375 DOI: 10.1101/gr.193763.115] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2015] [Accepted: 12/01/2015] [Indexed: 01/06/2023]
Abstract
Transposable elements (TEs) proliferate within the genome of their host, which responds by silencing them epigenetically. Much is known about the mechanisms of silencing in plants, particularly the role of siRNAs in guiding DNA methylation. In contrast, little is known about siRNA targeting patterns along the length of TEs, yet this information may provide crucial insights into the dynamics between hosts and TEs. By focusing on 6456 carefully annotated, full-length Sirevirus LTR retrotransposons in maize, we show that their silencing associates with underlying characteristics of the TE sequence and also uncover three features of the host–TE interaction. First, siRNA mapping varies among families and among elements, but particularly along the length of elements. Within the cis-regulatory portion of the LTRs, a complex palindrome-rich region acts as a hotspot of both siRNA matching and sequence evolution. These patterns are consistent across leaf, tassel, and immature ear libraries, but particularly emphasized for floral tissues and 21- to 22-nt siRNAs. Second, this region has the ability to form hairpins, making it a potential template for the production of miRNA-like, hairpin-derived small RNAs. Third, Sireviruses are targeted by siRNAs as a decreasing function of their age, but the oldest elements remain highly targeted, partially by siRNAs that cross-map to the youngest elements. We show that the targeting of older Sireviruses reflects their conserved palindromes. Altogether, we hypothesize that the palindromes aid the silencing of active elements and influence transposition potential, siRNA targeting levels, and ultimately the fate of an element within the genome.
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Affiliation(s)
- Alexandros Bousios
- School of Life Sciences, University of Sussex, Brighton BN1 9RH, United Kingdom; Institute of Applied Biosciences, Centre for Research and Technology Hellas, 57001 Thessaloniki, Greece
| | - Concepcion M Diez
- Department of Agronomy, University of Cordoba, 14014 Cordoba, Spain; Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, California 92697, USA
| | - Shohei Takuno
- SOKENDAI (Graduate University for Advanced Studies), Hayama, Kanagawa 240-0193, Japan
| | - Vojtech Bystry
- Central European Institute of Technology, Masaryk University, 62500 Brno, Czech Republic
| | - Nikos Darzentas
- Central European Institute of Technology, Masaryk University, 62500 Brno, Czech Republic
| | - Brandon S Gaut
- Department of Ecology and Evolutionary Biology, UC Irvine, Irvine, California 92697, USA
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Sun C, Wu J, Liang J, Schnable JC, Yang W, Cheng F, Wang X. Impacts of Whole-Genome Triplication on MIRNA Evolution in Brassica rapa. Genome Biol Evol 2015; 7:3085-96. [PMID: 26527651 PMCID: PMC5635596 DOI: 10.1093/gbe/evv206] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
MicroRNAs (miRNAs) are a class of short non-coding, endogenous RNAs that play essential roles in eukaryotes. Although the influence of whole-genome triplication (WGT) on protein-coding genes has been well documented in Brassica rapa, little is known about its impacts on MIRNAs. In this study, through generating a comprehensive annotation of 680 MIRNAs for B. rapa, we analyzed the evolutionary characteristics of these MIRNAs from different aspects in B. rapa. First, while MIRNAs and genes show similar patterns of biased distribution among subgenomes of B. rapa, we found that MIRNAs are much more overretained than genes following fractionation after WGT. Second, multiple-copy MIRNAs show significant sequence conservation than that of single-copy MIRNAs, which is opposite to that of genes. This indicates that increased purifying selection is acting upon these highly retained multiple-copy MIRNAs and their functional importance over singleton MIRNAs. Furthermore, we found the extensive divergence between pairs of miRNAs and their target genes following the WGT in B. rapa. In summary, our study provides a valuable resource for exploring MIRNA in B. rapa and highlights the impacts of WGT on the evolution of MIRNA.
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Affiliation(s)
- Chao Sun
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun Nandajie, Beijing, People's Republic of China Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, Department of Vegetable Science, China Agricultural University, Yuanmingyuan Xilu, Beijing, People's Republic of China
| | - Jian Wu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun Nandajie, Beijing, People's Republic of China
| | - Jianli Liang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun Nandajie, Beijing, People's Republic of China
| | - James C Schnable
- Department of Agronomy and Horticulture, University of Nebraska, Lincoln
| | - Wencai Yang
- Beijing Key Laboratory of Growth and Developmental Regulation for Protected Vegetable Crops, Department of Vegetable Science, China Agricultural University, Yuanmingyuan Xilu, Beijing, People's Republic of China
| | - Feng Cheng
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun Nandajie, Beijing, People's Republic of China
| | - Xiaowu Wang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, Zhongguancun Nandajie, Beijing, People's Republic of China
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113
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An W, Gong W, He S, Pan Z, Sun J, Du X. MicroRNA and mRNA expression profiling analysis revealed the regulation of plant height in Gossypium hirsutum. BMC Genomics 2015; 16:886. [PMID: 26517985 PMCID: PMC4628322 DOI: 10.1186/s12864-015-2071-6] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Accepted: 10/03/2015] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Dwarf cottons are more resistant to damage from wind and rain and associated with stable, increased yields, and also desirable source for breeding the machine harvest varieties. In an effort to uncover the transcripts and miRNA networks involved in plant height, the transcriptome and small RNA sequencing were performed based on dwarf mutant Ari1327 (A1), tall-culm mutant Ari3697 (A3) and wild type Ari971 (A9) in Gossypium hirsutum. METHODS The stem apexes of wild-type upland cotton (Ari971) and its dwarf mutant (Ari1327) and tall-culm mutant (Ari3697) at the fifth true leaf stage were extracted for RNA, respectively. Transcriptome and small RNA libraries were constructed and subjected to next generation sequencing. RESULTS The transcriptome sequencing analysis showed that the enriched pathways of top 3 differentially expressed genes (DEGs) were categorized as carotenoid biosynthesis, plant-pathogen interaction and plant hormone signal transduction in both A1-A9 and A3-A9. The ABA and IAA related factors were differentially expressed in the mutants. Importantly, we found the lower expressed SAUR and elevated expressed GH3, and ABA related genes such as NCED and PP2C maybe relate to reduced growth of the plant height in Ari1327 which was consistent with the higher auxin and ABA content in this mutant. Furthermore, miRNA160 targeted to the auxin response factor (ARF) and miRNA166 (gma-miR166u and gma-miR166h-3p) targeted to ABA responsive element binding factor were related to the mutation in cotton. We have noticed that the cell growth related factors (smg7 targeted by gra-miR482 and 6 novel miRNAs and pectate-lyases targeted by osa-miR159f), the redox reactions related factors (Cytochrome P450 targeted by miR172) and MYB genes targeted by miR828, miR858 and miR159 were also involved in plant height of the cotton mutants. A total of 226 conserved miRNAs representing 32 known miRNA families were obtained, and 38 novel miRNAs corresponding to 23 unique RNA sequences were identified. Total 531 targets for 211 conserved miRNAs were obtained. Using PAREsnip, 27 and 29 miRNA/target conserved interactions were validated in A1-A9 and A3-A9, respectively. Furthermore, miRNA160, miRNA858 and miRNA172 were validated to be up-regulated in A1-A9 but down-regulated in A3-A9, whereas miRNA159 showed the opposite regulation. CONCLUSIONS This comprehensive interaction of the transcriptome and miRNA at tall-culm and dwarf mutant led to the discovery of regulatory mechanisms in plant height. It also provides the basis for in depth analyses of dwarf mutant genes for further breeding of dwarf cotton.
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Affiliation(s)
- Wenyan An
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China. .,College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430072, Hubei, China.
| | - Wenfang Gong
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
| | - Shoupu He
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
| | - Zhaoe Pan
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
| | - Junling Sun
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
| | - Xiongming Du
- State Key Laboratory of Cotton Biology/Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China. .,College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430072, Hubei, China.
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Tripathi A, Goswami K, Sanan-Mishra N. Role of bioinformatics in establishing microRNAs as modulators of abiotic stress responses: the new revolution. Front Physiol 2015; 6:286. [PMID: 26578966 PMCID: PMC4620411 DOI: 10.3389/fphys.2015.00286] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 09/28/2015] [Indexed: 12/15/2022] Open
Abstract
microRNAs (miRs) are a class of 21-24 nucleotide long non-coding RNAs responsible for regulating the expression of associated genes mainly by cleavage or translational inhibition of the target transcripts. With this characteristic of silencing, miRs act as an important component in regulation of plant responses in various stress conditions. In recent years, with drastic change in environmental and soil conditions different type of stresses have emerged as a major challenge for plants growth and productivity. The identification and profiling of miRs has itself been a challenge for research workers given their small size and large number of many probable sequences in the genome. Application of computational approaches has expedited the process of identification of miRs and their expression profiling in different conditions. The development of High-Throughput Sequencing (HTS) techniques has facilitated to gain access to the global profiles of the miRs for understanding their mode of action in plants. Introduction of various bioinformatics databases and tools have revolutionized the study of miRs and other small RNAs. This review focuses the role of bioinformatics approaches in the identification and study of the regulatory roles of plant miRs in the adaptive response to stresses.
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Affiliation(s)
- Anita Tripathi
- Plant Molecular Biology Group, International Centre for Genetic Engineering and Biotechnology New Delhi, India
| | - Kavita Goswami
- Plant Molecular Biology Group, International Centre for Genetic Engineering and Biotechnology New Delhi, India
| | - Neeti Sanan-Mishra
- Plant Molecular Biology Group, International Centre for Genetic Engineering and Biotechnology New Delhi, India
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115
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Xiao H, Kim WS, Meng B. A highly effective and versatile technology for the isolation of RNAs from grapevines and other woody perennials for use in virus diagnostics. Virol J 2015; 12:171. [PMID: 26482551 PMCID: PMC4615883 DOI: 10.1186/s12985-015-0376-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 09/05/2015] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND Isolation of pure RNA from woody perennials, especially fruit crops such as grapevine rich in complex secondary metabolites, has remained very challenging. Lack of effective RNA isolation technology has resulted in difficulties in viral diagnosis and discovery as well as studies on many biological processes of these highly important woody plants. It is imperative to develop and refine methodologies with which large amounts of pure nucleic acids can be readily isolated from woody perennials. METHODS We compared five commonly used RNA isolation kits in isolating total RNA from twelve species of woody perennials. We made modifications to select RNA isolation systems to simplify and improve their efficiency in RNA isolation. The yield and quality of isolated RNAs were assessed via gel electrophoresis and spectrophotometric measurement. We also performed RT-PCR and RT-qPCR to detect several major viruses from grapevines. RESULTS Two of the kits were shown to be the best in both the yield and quality of the isolated RNA from all twelve woody species. Using disposable extraction bags for tissue homogenization not only improved the yield without affecting quality, but also made the RNA isolation technology simpler, less costly, and suitable for adoption by many potential users with facility limitations. This system was successfully applied to a wide range of woody plants, including fruit crops, ornamentals and timber trees. Inclusion of polyvinylpyrrolidone in the extraction buffer drastically improved the performance of the system in isolating total RNA from old grapevine leaves collected later in the season. This modification made our system highly effective in isolating quality RNA from grapevine leaves throughout the entire growing season. We further demonstrated that the resulting nucleic acid preparations are suitable for detection of several major grapevine viruses with RNA or DNA genomes using PCR, RT-PCR and qPCR as well as for assays on plant microRNAs. CONCLUSIONS This improved RNA isolation system would have wide applications in viral diagnostics and discovery, studies on gene expression and regulation, transcriptomics, and small RNA biology in grapevines. We believe this system will also be useful in diverse applications pertaining to research on many other woody perennials and recalcitrant plant species.
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Affiliation(s)
- Huogen Xiao
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
| | - Won-Sik Kim
- Norgen BioTek, Thorald, ON, L2V 4Y6, Canada.
| | - Baozhong Meng
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
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116
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Liu Q, Hu H, Zhu L, Li R, Feng Y, Zhang L, Yang Y, Liu X, Zhang H. Involvement of miR528 in the Regulation of Arsenite Tolerance in Rice (Oryza sativa L.). JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2015; 63:8849-61. [PMID: 26403656 DOI: 10.1021/acs.jafc.5b04191] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Tens of miRNAs were previously established as being arsenic (As) stress responsive in rice. However, their functional role in As tolerance remains unclear. This study demonstrates that transgenic plants overexpressing miR528 (Ubi::MIR528) were more sensitive to arsenite [As(III)] compared with wild-type (WT) rice. Under normal and stress conditions, miR528-5p and -3p were highly up-regulated in both the roots and leaves of transgenic plants, which exhibited a negative correlation with the expression of seven target genes. Compared with WT plants, Ubi::MIR528 plants showed excessive oxidative stress generation and remarkable amino acid content changes in the roots and leaves upon As(III) exposure. Notably, the expression profiles of diverse functional genes were clearly different between WT and transgenic plants. Thus, the observed As(III) sensitivity of Ubi::MIR528 plants was likely due to the strong alteration of antioxidant enzyme activity and amino acid profiles and the impairment of the As(III) uptake, translocation, and tolerance systems of rice.
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Affiliation(s)
| | | | | | | | - Ying Feng
- College of Environmental and Resources Science, Zhejiang University , Hangzhou 310058, People's Republic of China
| | | | | | | | - Hengmu Zhang
- Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences , Hangzhou 310021, People's Republic of China
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117
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Aung B, Gruber MY, Hannoufa A. The MicroRNA156 system: A tool in plant biotechnology. BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY 2015. [DOI: 10.1016/j.bcab.2015.08.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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118
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Identification and characterization of cucumber microRNAs in response to Pseudoperonospora cubensis infection. Gene 2015; 569:225-32. [DOI: 10.1016/j.gene.2015.05.064] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Revised: 05/10/2015] [Accepted: 05/24/2015] [Indexed: 11/20/2022]
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119
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Li ZF, Zhang YC, Chen YQ. miRNAs and lncRNAs in reproductive development. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2015; 238:46-52. [PMID: 26259173 DOI: 10.1016/j.plantsci.2015.05.017] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2015] [Revised: 05/24/2015] [Accepted: 05/25/2015] [Indexed: 05/14/2023]
Abstract
Non-coding RNAs (ncRNAs) regulate gene expression at the transcriptional and post-transcriptional levels. Many ncRNAs have been identified in the past decade, including small ncRNAs, such as microRNAs (miRNAs), and long ncRNAs (lncRNAs). These novel molecules have important roles in a wide range of biological processes such as the regulation of reproduction and sex determination. Due to their ability to regulate specific genes or entire gene families, these molecules have the potential for uses in the development of breeding strategies as well as in the genetic modification of agronomic traits. In this review, we summarize recent progress on the understanding of plant miRNAs and lncRNAs in male and female development. We also discuss future challenges of using these molecules in agricultural applications, including transgenic plants in hybrid breeding, for novel genetic trait selection, for rapid character screening, and genetic modification for crop improvement.
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Affiliation(s)
- Zhe-Feng Li
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Science, Sun Yat-sen University, Guangzhou 510275, China
| | - Yu-Chan Zhang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Science, Sun Yat-sen University, Guangzhou 510275, China
| | - Yue-Qin Chen
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, School of Life Science, Sun Yat-sen University, Guangzhou 510275, China.
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120
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Gong S, Ding Y, Huang S, Zhu C. Identification of miRNAs and Their Target Genes Associated with Sweet Corn Seed Vigor by Combined Small RNA and Degradome Sequencing. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2015; 63:5485-91. [PMID: 25997082 DOI: 10.1021/acs.jafc.5b00522] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
High seed vigor is significant for agriculture. Low seed vigor of sweet corn hindered the popularization of sweet corn (Zea mays L. saccharata Sturt). To better understand the involvement and regulatory mechanism of miRNAs with seed vigor, small RNA libraries from seeds non-artificially aged and artificially aged for 2 days were generated by small RNA sequencing. A total of 27 differentially expressed miRNAs were discovered, of which 10 were further confirmed by real-time quantitative polymerase chain reaction. Furthermore, targets of miRNAs were identified by degradome sequencing. A total of 1142 targets that were potentially cleaved by 131 miRNAs were identified. Gene ontology (GO) annotations of target transcripts indicated that 26 target genes cleaved by 9 differentially expressed miRNAs might play roles in the regulation of seed vigor, such as peroxidase superfamily protein targeted by PC-5p-213179_17 playing a role in the oxidation-reduction process and response to oxidative stress. These findings provide valuable information to understand the involvement of miRNAs with seed vigor.
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Affiliation(s)
- Shumin Gong
- ‡Key Laboratory of Marine Food Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang 310018, People's Republic of China
| | - Yanfei Ding
- ‡Key Laboratory of Marine Food Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang 310018, People's Republic of China
| | - Shanxia Huang
- §College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310029, People's Republic of China
| | - Cheng Zhu
- ‡Key Laboratory of Marine Food Quality and Hazard Controlling Technology of Zhejiang Province, College of Life Sciences, China Jiliang University, Hangzhou, Zhejiang 310018, People's Republic of China
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121
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Rutley N, Twell D. A decade of pollen transcriptomics. PLANT REPRODUCTION 2015; 28:73-89. [PMID: 25761645 PMCID: PMC4432081 DOI: 10.1007/s00497-015-0261-7] [Citation(s) in RCA: 91] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2015] [Accepted: 02/24/2015] [Indexed: 05/19/2023]
Abstract
KEY MESSAGE Overview of pollen transcriptome studies. Pollen development is driven by gene expression, and knowledge of the molecular events underlying this process has undergone a quantum leap in the last decade through studies of the transcriptome. Here, we outline historical evidence for male haploid gene expression and review the wealth of pollen transcriptome data now available. Knowledge of the transcriptional capacity of pollen has progressed from genetic studies to the direct analysis of RNA and from gene-by-gene studies to analyses on a genomic scale. Microarray and/or RNA-seq data can now be accessed for all phases and cell types of developing pollen encompassing 10 different angiosperms. These growing resources have accelerated research and will undoubtedly inspire new directions and the application of system-based research into the mechanisms that govern the development, function and evolution of angiosperm pollen.
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Affiliation(s)
- Nicholas Rutley
- Department of Biology, University of Leicester, Leicester, LE1 7RH UK
| | - David Twell
- Department of Biology, University of Leicester, Leicester, LE1 7RH UK
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122
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Sheng L, Chai W, Gong X, Zhou L, Cai R, Li X, Zhao Y, Jiang H, Cheng B. Identification and Characterization of Novel Maize Mirnas Involved in Different Genetic Background. Int J Biol Sci 2015; 11:781-93. [PMID: 26078720 PMCID: PMC4466459 DOI: 10.7150/ijbs.11619] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2015] [Accepted: 04/01/2015] [Indexed: 01/21/2023] Open
Abstract
MicroRNAs (miRNAs) are a class of small, non-coding regulatory RNAs that regulate gene expression by guiding target mRNA cleavage or translational inhibition in plants and animals. At present there is relatively little information regarding the role of miRNAs in the response to drought stress in maize. In this study, two small RNA libraries were sequenced, and a total of 11,973,711 and 14,326,010 raw sequences were generated from growing leaves of drought-tolerant and drought-sensitive maize seedlings, respectively. Further analysis identified 192 mature miRNAs, which include 124 known maize (zma) miRNAs and 68 potential novel miRNA candidates. Additionally, 167 target genes (259 transcripts) of known and novel miRNAs were predicted to be differentially expressed between two maize inbred lines. Of these, three novel miRNAs were up-regulated and two were down-regulated under drought stress. The expression of these five miRNAs and nine target genes was confirmed using quantitative reverse transcription PCR. The expression of three of the miRNAs and their putative target genes exhibited an inverse correlation, and expression analysis suggested that all five may play important roles in maize leaves. Finally, GO annotations of the target genes indicated a potential role in photosynthesis, may therefore contribute to the drought stress response. This study describes the identification and characterization of novel miRNAs that are the differentially expressed in drought-tolerant and drought-sensitive inbred maize lines. This provides the foundation for further investigation into the mechanism of miRNA function in response to drought stress in maize.
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Affiliation(s)
- Lei Sheng
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Wenbo Chai
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Xuefeng Gong
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Lingyan Zhou
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Ronghao Cai
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Xiaoyu Li
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Yang Zhao
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Haiyang Jiang
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
| | - Beijiu Cheng
- Key Laboratory of Crop Biology of Anhui Province, Anhui, Agricultural University, Hefei 230036, China
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123
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Comparative analysis of the Dicer-like gene family reveals loss of miR162 target site in SmDCL1 from Salvia miltiorrhiza. Sci Rep 2015; 5:9891. [PMID: 25970825 PMCID: PMC4429486 DOI: 10.1038/srep09891] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2015] [Accepted: 03/23/2015] [Indexed: 11/08/2022] Open
Abstract
DCL1, the core component for miRNA biogenesis, is itself regulated by miR162 in Arabidopsis. MiRNA-mediated feedback regulation of AtDCL1 is important to maintain the proper level of DCL1 transcripts. However, it is unknown whether the miRNA-mediated regulation of DCL1 is conserved among plants. We analyzed the SmDCL gene family in Salvia miltiorrhiza, an emerging model plant for Traditional Chinese Medicine (TCM) studies, using a comprehensive approach integrating genome-wide prediction, molecular cloning, gene expression profiling, and posttranscriptional regulation analysis. A total of five SmDCLs were identified. Comparative analysis of SmDCLs and AtDCLs showed an apparent enlargement of SmDCL introns in S. miltiorrhiza. The absence of miR162 in S. miltiorrhiza and the loss of miR162 target site in SmDCL1 were unexpectedly found. Further analysis showed that the miR162 target site was not present in DCL1 from ancient plants and was gained during plant evolution. The gained miR162 target site might be lost in a few modern plants through nucleotide mutations. Our results provide evidence for the gain and loss of miR162 and its target sites in Dicer-like genes during evolution. The data is useful for understanding the evolution of miRNA-mediated feedback regulation of DCLs in plants.
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124
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Zhang SD, Ling LZ, Zhang QF, Xu JD, Cheng L. Evolutionary Comparison of Two Combinatorial Regulators of SBP-Box Genes, MiR156 and MiR529, in Plants. PLoS One 2015; 10:e0124621. [PMID: 25909360 PMCID: PMC4409300 DOI: 10.1371/journal.pone.0124621] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Accepted: 03/17/2015] [Indexed: 12/03/2022] Open
Abstract
A complete picture of the evolution of miRNA combinatorial regulation requires the synthesis of information on all miRNAs and their targets. MiR156 and miR529 are two combinatorial regulators of squamosa promoter binding protein-like (SBP-box) genes. Previous studies have clarified the evolutionary dynamics of their targets; however, there have been no reports on the evolutionary patterns of two miRNA regulators themselves to date. In this study, we investigated the evolutionary differences between these two miRNA families in extant land plants. Our work found that miR529 precursor, especially of its mature miRNA sequence, has a higher evolutionary rate. Such accelerating evolution of miR529 has significantly effects on its structural stability, and sequence conservation against existence of itself. By contrast, miR156 evolves more rapidly in loop region of the stable secondary structure, which may contribute to its functional diversity. Moreover, miR156 and miR529 genes have distinct rates of loss after identical duplication events. MiR529 genes have a higher average loss rate and asymmetric loss rate in duplicated gene pairs, indicating preferred miR529 gene losses become another predominant mode of inactivation, that are implicated in the contraction of this family. On the contrary, duplicated miR156 genes have a low loss rate, and could serve as another new source for functional diversity. Taken together, these results provide better insight into understanding the evolutionary divergence of miR156 and miR529 family in miRNA combinational regulation network.
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Affiliation(s)
| | - Li-Zhen Ling
- BGI-Yunnan, BGI-Shenzhen, Kunming, 650106, China
- * E-mail: (L-ZL); (LC)
| | - Quan-Fang Zhang
- Bio-Tech Research Center, Shandong Academy of Agricultural Sciences, Jinan 250100, China
| | - Jian-Di Xu
- Shandong rice research institute, Shandong Academy of Agricultural Sciences, Jinan, 250100, China
| | - Le Cheng
- BGI-Yunnan, BGI-Shenzhen, Kunming, 650106, China
- * E-mail: (L-ZL); (LC)
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125
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Locati MD, Terpstra I, de Leeuw WC, Kuzak M, Rauwerda H, Ensink WA, van Leeuwen S, Nehrdich U, Spaink HP, Jonker MJ, Breit TM, Dekker RJ. Improving small RNA-seq by using a synthetic spike-in set for size-range quality control together with a set for data normalization. Nucleic Acids Res 2015; 43:e89. [PMID: 25870415 PMCID: PMC4538800 DOI: 10.1093/nar/gkv303] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 03/27/2015] [Indexed: 01/18/2023] Open
Abstract
There is an increasing interest in complementing RNA-seq experiments with small-RNA (sRNA) expression data to obtain a comprehensive view of a transcriptome. Currently, two main experimental challenges concerning sRNA-seq exist: how to check the size distribution of isolated sRNAs, given the sensitive size-selection steps in the protocol; and how to normalize data between samples, given the low complexity of sRNA types. We here present two separate sets of synthetic RNA spike-ins for monitoring size-selection and for performing data normalization in sRNA-seq. The size-range quality control (SRQC) spike-in set, consisting of 11 oligoribonucleotides (10–70 nucleotides), was tested by intentionally altering the size-selection protocol and verified via several comparative experiments. We demonstrate that the SRQC set is useful to reproducibly track down biases in the size-selection in sRNA-seq. The external reference for data-normalization (ERDN) spike-in set, consisting of 19 oligoribonucleotides, was developed for sample-to-sample normalization in differential-expression analysis of sRNA-seq data. Testing and applying the ERDN set showed that it can reproducibly detect differential expression over a dynamic range of 218. Hence, biological variation in sRNA composition and content between samples is preserved while technical variation is effectively minimized. Together, both spike-in sets can significantly improve the technical reproducibility of sRNA-seq.
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Affiliation(s)
- Mauro D Locati
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands
| | - Inez Terpstra
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands
| | - Wim C de Leeuw
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands Netherlands eScience Center, Amsterdam 1098 XG, The Netherlands
| | - Mateusz Kuzak
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands Netherlands eScience Center, Amsterdam 1098 XG, The Netherlands
| | - Han Rauwerda
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands Netherlands eScience Center, Amsterdam 1098 XG, The Netherlands
| | - Wim A Ensink
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands
| | - Selina van Leeuwen
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands
| | - Ulrike Nehrdich
- Department of Molecular Cell Biology, Institute of Biology, Leiden University, Gorlaeus Laboratories - Cell Observatorium, Leiden 2333 CE, The Netherlands
| | - Herman P Spaink
- Department of Molecular Cell Biology, Institute of Biology, Leiden University, Gorlaeus Laboratories - Cell Observatorium, Leiden 2333 CE, The Netherlands
| | - Martijs J Jonker
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands
| | - Timo M Breit
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands
| | - Rob J Dekker
- RNA Biology & Applied Bioinformatics research group, Swammerdam Institute for Life Sciences, Faculty of Science, University of Amsterdam, Amsterdam 1090 GE, The Netherlands
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126
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Zheng LL, Qu LH. Application of microRNA gene resources in the improvement of agronomic traits in rice. PLANT BIOTECHNOLOGY JOURNAL 2015; 13:329-36. [PMID: 25583449 DOI: 10.1111/pbi.12321] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Revised: 12/02/2014] [Accepted: 12/02/2014] [Indexed: 05/20/2023]
Abstract
microRNAs (miRNAs) are important nonprotein-coding genes that are involved in almost all biological processes, including cell differentiation and fate determination, developmental regulation, and immune responses. Investigations have shown that some miRNAs can highly affect plant agricultural traits, including virus resistance, nematode resistance, drought and salinity tolerance, heavy metal detoxification, biomass yield, grain yield, fruit development and flower development. Therefore, these miRNAs are considered a newly identified gene resource for the genetic improvement of crops. In this review, we will summarize the recent findings of the rice miRNA-directed regulatory network, which controls agronomic traits such as yield, quality and stress tolerance, and explore the outlook for the uses of these miRNA-associated traits in rice biotechnology.
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Affiliation(s)
- Ling-Ling Zheng
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou, China
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127
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Ferdous J, Hussain SS, Shi BJ. Role of microRNAs in plant drought tolerance. PLANT BIOTECHNOLOGY JOURNAL 2015; 13:293-305. [PMID: 25583362 PMCID: PMC6680329 DOI: 10.1111/pbi.12318] [Citation(s) in RCA: 128] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2013] [Revised: 11/27/2014] [Accepted: 11/29/2014] [Indexed: 05/19/2023]
Abstract
Drought is a normal and recurring climate feature in most parts of the world and plays a major role in limiting crop productivity. However, plants have their own defence systems to cope with adverse climatic conditions. One of these defence mechanisms is the reprogramming of gene expression by microRNAs (miRNAs). miRNAs are small noncoding RNAs of approximately 22 nucleotides length, which have emerged as important regulators of genes at post-transcriptional levels in a range of organisms. Some miRNAs are functionally conserved across plant species and are regulated by drought stress. These properties suggest that miRNA-based genetic modifications have the potential to enhance drought tolerance in cereal crops. This review summarizes the current understanding of the regulatory mechanisms of plant miRNAs, involvement of plant miRNAs in drought stress responses in barley (Hordeum vulgare L.), wheat (Triticum spp.) and other plant species, and the involvement of miRNAs in plant-adaptive mechanisms under drought stress. Potential strategies and directions for future miRNA research and the utilization of miRNAs in the improvement of cereal crops for drought tolerance are also discussed.
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Affiliation(s)
- Jannatul Ferdous
- Australian Centre for Plant Functional Genomics, The University of Adelaide, Urrbrae, SA, Australia
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128
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129
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Zhou J, Cheng Y, Yin M, Yang E, Gong W, Liu C, Zheng X, Deng K, Ren Z, Zhang Y. Identification of novel miRNAs and miRNA expression profiling in wheat hybrid necrosis. PLoS One 2015; 10:e0117507. [PMID: 25706289 PMCID: PMC4338152 DOI: 10.1371/journal.pone.0117507] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 12/25/2014] [Indexed: 11/30/2022] Open
Abstract
MicroRNAs (miRNAs) play essential roles in a vast array of biological processes, including growth and development, defense against viral infection, and responses to environmental changes in plant. Wheat hybrid necrosis is an interesting genetic phenomenon observed frequency and it is lethal or semi lethal, resulting in gradual death or loss of productivity. However, the molecular basis and mechanisms associated with hybrid necrosis in wheat are still not well understood. Here, we report the population and expression profiles of miRNAs in wheat hybrid necrosis. We identified a total of 57 conserved miRNA families as well as 182 putative novel miRNAs. Expression profiling revealed that expression of 49 known miRNAs and 165 novel miRNAs was changed in hybrid necrosis. And the expression levels of some miRNAs and their predicated targets have been confirmed by qRT-PCR. These results indicate that these miRNAs, especially miR159, miR166, miR167 and miR5072 could be involved in the extensive regulation of gene expression in response to hybrid necrosis.
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Affiliation(s)
- Jianping Zhou
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yan Cheng
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Meiqi Yin
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Ennian Yang
- Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China
| | - Wenping Gong
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Cheng Liu
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Xuelian Zheng
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Kejun Deng
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Zhenglong Ren
- State Key Laboratory of Plant Breeding and Genetics, Sichuan Agricultural University, Wenjiang, Chengdu 611130, China
| | - Yong Zhang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
- * E-mail:
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130
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Gentile A, Dias LI, Mattos RS, Ferreira TH, Menossi M. MicroRNAs and drought responses in sugarcane. FRONTIERS IN PLANT SCIENCE 2015; 6:58. [PMID: 25755657 PMCID: PMC4337329 DOI: 10.3389/fpls.2015.00058] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2014] [Accepted: 01/22/2015] [Indexed: 05/03/2023]
Abstract
There is a growing demand for renewable energy, and sugarcane is a promising bioenergy crop. In Brazil, the largest sugarcane producer in the world, sugarcane plantations are expanding into areas where severe droughts are common. Recent evidence has highlighted the role of miRNAs in regulating drought responses in several species, including sugarcane. This review summarizes the data from miRNA expression profiles observed in a wide array of experimental conditions using different sugarcane cultivars that differ in their tolerance to drought. We uncovered a complex regulation of sugarcane miRNAs in response to drought and discussed these data with the miRNA profiles observed in other plant species. The predicted miRNA targets revealed different transcription factors, proteins involved in tolerance to oxidative stress, cell modification, as well as hormone signaling. Some of these proteins might regulate sugarcane responses to drought, such as reduction of internode growth and shoot branching and increased leaf senescence. A better understanding on the regulatory network from miRNAs and their targets under drought stress has a great potential to contribute to sugarcane improvement, either as molecular markers as well as by using biotechnological approaches.
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Affiliation(s)
| | | | | | | | - Marcelo Menossi
- Laboratório de Genoma Funcional, Departamento de Genética, Evolução e Bioagentes, Instituto de Biologia, Universidade Estadual de CampinasCampinas, São Paulo, Brazil
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131
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Yin K, Tang Y, Zhao J. Genome-Wide Characterization of miRNAs Involved in N Gene-Mediated Immunity in Response to Tobacco Mosaic Virus in Nicotiana benthamiana. Evol Bioinform Online 2015; 11:1-11. [PMID: 25673968 PMCID: PMC4294599 DOI: 10.4137/ebo.s20744] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Revised: 11/16/2014] [Accepted: 11/22/2014] [Indexed: 11/05/2022] Open
Abstract
microRNAs (miRNAs) are a class of endogenous small RNAs (sRNAs) that play pivotal roles in plant development, abiotic stress response, and pathogen response. miRNAs have been extensively studied in plants, but rarely in Nicotiana benthamiana, despite its wide use in plant virology studies, particularly for studying N protein-tobacco mosaic virus (TMV) interactions. We report an efficient method using high-throughput sequencing and bioinformatics to identify genome-wide miRNAs in N. benthamiana. A total of 30 conserved miRNA families and 113 novel miRNAs belonging to 93 families were identified. Some miRNAs were clustered on chromosomes, and some were embedded in host gene introns. The predicted miRNA targets were involved in diverse biological processes, such as metabolism, signaling, and responses to stimuli. miRNA expression profiling revealed that most of them were differentially expressed during N-mediated immunity to TMV. This study provides a framework for further analysis of miRNA functions in plant immunity.
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Affiliation(s)
- Kangquan Yin
- MOE Key Laboratory of Bioinformatics, Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, China
| | - Yang Tang
- MOE Key Laboratory of Bioinformatics, Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, China
| | - Jinping Zhao
- MOE Key Laboratory of Bioinformatics, Center for Plant Biology, School of Life Sciences, Tsinghua University, Beijing, China
- State Key Laboratory Breeding Base for Zhejiang Sustainable Pest and Disease Control, Key Laboratory of Biotechnology in Plant Protection (Ministry of China), Institute of Virology and Biotechnology, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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132
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Law M, Childs KL, Campbell MS, Stein JC, Olson AJ, Holt C, Panchy N, Lei J, Jiao D, Andorf CM, Lawrence CJ, Ware D, Shiu SH, Sun Y, Jiang N, Yandell M. Automated update, revision, and quality control of the maize genome annotations using MAKER-P improves the B73 RefGen_v3 gene models and identifies new genes. PLANT PHYSIOLOGY 2015; 167:25-39. [PMID: 25384563 PMCID: PMC4280997 DOI: 10.1104/pp.114.245027] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2014] [Accepted: 11/02/2014] [Indexed: 05/18/2023]
Abstract
The large size and relative complexity of many plant genomes make creation, quality control, and dissemination of high-quality gene structure annotations challenging. In response, we have developed MAKER-P, a fast and easy-to-use genome annotation engine for plants. Here, we report the use of MAKER-P to update and revise the maize (Zea mays) B73 RefGen_v3 annotation build (5b+) in less than 3 h using the iPlant Cyberinfrastructure. MAKER-P identified and annotated 4,466 additional, well-supported protein-coding genes not present in the 5b+ annotation build, added additional untranslated regions to 1,393 5b+ gene models, identified 2,647 5b+ gene models that lack any supporting evidence (despite the use of large and diverse evidence data sets), identified 104,215 pseudogene fragments, and created an additional 2,522 noncoding gene annotations. We also describe a method for de novo training of MAKER-P for the annotation of newly sequenced grass genomes. Collectively, these results lead to the 6a maize genome annotation and demonstrate the utility of MAKER-P for rapid annotation, management, and quality control of grasses and other difficult-to-annotate plant genomes.
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Affiliation(s)
- MeiYee Law
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Kevin L Childs
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Michael S Campbell
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Joshua C Stein
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Andrew J Olson
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Carson Holt
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Nicholas Panchy
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Jikai Lei
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Dian Jiao
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Carson M Andorf
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Carolyn J Lawrence
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Doreen Ware
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Shin-Han Shiu
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Yanni Sun
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Ning Jiang
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
| | - Mark Yandell
- The Jackson Laboratory, Bar Harbor, Maine 04609 (M.L.);Eccles Institute of Human Genetics (M.L., M.S.C., M.Y.), Department of Biomedical Informatics (M.L.), and USTAR Center for Genetic Discovery (C.H., M.Y.), University of Utah, Salt Lake City, Utah 84112;Genetics Program (N.P., S.-H.S., N.J.), Department of Plant Biology (K.L.C., S.-H.S.), Department of Computer Science and Engineering (J.L., Y.S.), and Department of Horticulture (N.J.), Michigan State University, East Lansing, Michigan 48824;iPlant Collaborative, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724 (J.C.S., A.J.O., D.W.);Ontario Institute for Cancer Research, Toronto, Ontario, Canada M5G 1L7 (C.H.);Texas Advanced Computing Center, University of Texas, Austin, Texas 78758 (D.J.);Department of Genetics, Development, and Cell Biology and Department of Agronomy (C.J.L.), and United States Department of Agriculture-Agricultural Research Service Corn Insects and Crop Genetics Research (C.M.A.), Iowa State University, Ames, Iowa 50011; andUnited States Department of Agriculture-Agricultural Research Service Northeast Area, Robert W. Holley Center for Agriculture and Health, Ithaca, New York 14853 (D.W.)
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Xing L, Zhang D, Li Y, Zhao C, Zhang S, Shen Y, An N, Han M. Genome-wide identification of vegetative phase transition-associated microRNAs and target predictions using degradome sequencing in Malus hupehensis. BMC Genomics 2014; 15:1125. [PMID: 25515958 PMCID: PMC4523022 DOI: 10.1186/1471-2164-15-1125] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 12/11/2014] [Indexed: 12/21/2022] Open
Abstract
Background A long juvenile period between germination and flowering is a common characteristic among fruit trees, including Malus hupehensis (Pamp.) Rehd., which is an apple rootstock widely used in China. microRNAs (miRNAs) play an important role in the regulation of phase transition and reproductive growth processes. Results M. hupehensis RNA libraries, one adult and one juvenile phase, were constructed using tree leaves and underwent high-throughput sequencing. We identified 42 known miRNA families and 172 novel miRNAs. We also identified 127 targets for 25 known miRNA families and 168 targets for 35 unique novel miRNAs using degradome sequencing. The identified miRNA targets were categorized into 58 biological processes, and the 123 targets of known miRNAs were associated with phase transition processes. The KEGG analysis revealed that these targets were involved in starch and sucrose metabolism, and plant hormone signal transduction. Expression profiling of miRNAs and their targets indicated multiple regulatory functions in the phase transition. The higher expression level of mdm-miR156 and lower expression level of mdm-miR172 in the juvenile phase leaves implied that these two small miRNAs regulated the phase transition. mdm-miR160 and miRNA393, which regulate genes involved in auxin signal transduction, could also be involved in controlling this process. The identification of known and novel miRNAs and their targets provides new information on this regulatory process in M. hupehensis, which will contribute to the understanding of miRNA functions during growth, phase transition and reproduction in woody fruit trees. Conclusions The combination of sRNA and degradome sequencing can be used to better illustrate the profiling of hormone-regulated miRNAs and miRNA targets involving complex regulatory networks, which will contribute to the understanding of miRNA functions during growth, phase transition and reproductive growth in perennial woody fruit trees. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-1125) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Libo Xing
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Dong Zhang
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Youmei Li
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Caiping Zhao
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Songwen Zhang
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Yawen Shen
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Na An
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
| | - Mingyu Han
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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134
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Thompson BE, Basham C, Hammond R, Ding Q, Kakrana A, Lee TF, Simon SA, Meeley R, Meyers BC, Hake S. The dicer-like1 homolog fuzzy tassel is required for the regulation of meristem determinacy in the inflorescence and vegetative growth in maize. THE PLANT CELL 2014; 26:4702-17. [PMID: 25465405 PMCID: PMC4311206 DOI: 10.1105/tpc.114.132670] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Plant architecture is determined by meristems that initiate leaves during vegetative development and flowers during reproductive development. Maize (Zea mays) inflorescences are patterned by a series of branching events, culminating in floral meristems that produce sexual organs. The maize fuzzy tassel (fzt) mutant has striking inflorescence defects with indeterminate meristems, fasciation, and alterations in sex determination. fzt plants have dramatically reduced plant height and shorter, narrower leaves with leaf polarity and phase change defects. We positionally cloned fzt and discovered that it contains a mutation in a dicer-like1 homolog, a key enzyme required for microRNA (miRNA) biogenesis. miRNAs are small noncoding RNAs that reduce target mRNA levels and are key regulators of plant development and physiology. Small RNA sequencing analysis showed that most miRNAs are moderately reduced in fzt plants and a few miRNAs are dramatically reduced. Some aspects of the fzt phenotype can be explained by reduced levels of known miRNAs, including miRNAs that influence meristem determinacy, phase change, and leaf polarity. miRNAs responsible for other aspects of the fzt phenotype are unknown and likely to be those miRNAs most severely reduced in fzt mutants. The fzt mutation provides a tool to link specific miRNAs and targets to discrete phenotypes and developmental roles.
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Affiliation(s)
- Beth E Thompson
- Department of Biology, East Carolina University, Greenville, North Carolina 27858
| | - Christine Basham
- Department of Biology, East Carolina University, Greenville, North Carolina 27858
| | - Reza Hammond
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware 19714 Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware 19711
| | - Queying Ding
- Department of Biology, East Carolina University, Greenville, North Carolina 27858
| | - Atul Kakrana
- Center for Bioinformatics and Computational Biology, University of Delaware, Newark, Delaware 19714 Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware 19711
| | - Tzuu-Fen Lee
- Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware 19711
| | - Stacey A Simon
- Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware 19711
| | | | - Blake C Meyers
- Department of Plant and Soil Sciences, University of Delaware, Newark, Delaware 19711
| | - Sarah Hake
- Plant Gene Expression Center and University of California-Berkeley, Albany, California 94710
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Investigating the molecular genetic basis of heterosis for internode expansion in maize by microRNA transcriptomic deep sequencing. Funct Integr Genomics 2014; 15:261-70. [PMID: 25394807 DOI: 10.1007/s10142-014-0411-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2013] [Revised: 10/30/2014] [Accepted: 11/03/2014] [Indexed: 01/17/2023]
Abstract
Heterosis has been used widely in the breeding of maize and other crops and plays an important role in increasing yield, improving quality, and enhancing stress resistance, but its molecular mechanism is far from clear. To determine whether microRNA (miRNA)-dependent gene regulation is responsible for heterosis of elongating internodes below the ear and ear height in maize, a deep-sequencing strategy was applied to the elite hybrid Xundan20, which is currently cultivated widely in China, and its two parents. RNA was extracted from the eighth internode because it shows clear internode length heterosis. A total of 99 conserved maize miRNAs were detected in both the hybrid and parental lines. Most of these miRNAs were expressed nonadditively in the hybrid compared with its parental lines. These results indicated that miRNAs might participate in heterosis during internode expansion in maize and exert an influence on ear and plant height via the repression of their target genes. In total, eight novel miRNAs belonging to four miRNA families were predicted in the expanding internode. Global repression of miRNAs in the hybrid, which might result in enhanced gene expression, might be one reason why the hybrid shows longer internodes and taller seedlings compared with its parental lines.
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136
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Liu Q, Wang H, Hu H, Zhang H. Genome-wide identification and evolutionary analysis of positively selected miRNA genes in domesticated rice. Mol Genet Genomics 2014; 290:593-602. [DOI: 10.1007/s00438-014-0943-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2014] [Accepted: 10/17/2014] [Indexed: 01/24/2023]
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137
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Chen Z, Hu L, Han N, Hu J, Yang Y, Xiang T, Zhang X, Wang L. Overexpression of a miR393-Resistant Form of Transport Inhibitor Response Protein 1 (mTIR1) Enhances Salt Tolerance by Increased Osmoregulation and Na+ Exclusion in Arabidopsis thaliana. ACTA ACUST UNITED AC 2014; 56:73-83. [DOI: 10.1093/pcp/pcu149] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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138
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Sun X, Zhang Y, Zhu X, Korir NK, Tao R, Wang C, Fang J. Advances in identification and validation of plant microRNAs and their target genes. PHYSIOLOGIA PLANTARUM 2014; 152:203-18. [PMID: 24641625 DOI: 10.1111/ppl.12191] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2013] [Revised: 01/19/2014] [Accepted: 02/12/2014] [Indexed: 05/27/2023]
Abstract
Developments in the field of molecular biology and genetics, such as microarray, gene transfer and discovery of small regulatory RNAs, have led to significant advances in plant biotechnology. Among the small RNAs, microRNAs (miRNAs) have elicited much interest as key post-transcriptional regulators in eukaryotic gene expression. Advances in genome and transcriptome sequencing of plants have facilitated the generation of a huge wealth of sequence information that can find much use in the discovery of novel miRNAs and their target genes. In this review, we present an overview of the developments in the strategies and methods used to identify and study miRNAs, their target genes and the mechanisms by which these miRNAs interact with their target genes since the discovery of the first miRNA. The approaches discussed include both reverse and forward genetics. We observed that despite the availability of advanced methods, certain limitations ranging from the cost of materials, equipment and personnel to the availability of genome sequences for many plant species present a number of challenges for the development and utilization of modern scientific methods for the elucidation and development of miRNAs in many important plant species.
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Affiliation(s)
- Xin Sun
- College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, PR China
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139
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Kong X, Zhang M, Xu X, Li X, Li C, Ding Z. System analysis of microRNAs in the development and aluminium stress responses of the maize root system. PLANT BIOTECHNOLOGY JOURNAL 2014; 12:1108-21. [PMID: 24985700 DOI: 10.1111/pbi.12218] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2014] [Revised: 05/21/2014] [Accepted: 05/23/2014] [Indexed: 05/04/2023]
Abstract
MicroRNAs (miRNAs) are a class of regulatory small RNAs (sRNAs) that down-regulate target genes through mRNA cleavage or translational inhibition. miRNA is known to play an important role in the root development and environmental responses in both the Arabidopsis and rice. However, little information is available to form a complete view of miRNAs in the development of the maize root system and Al stress responses in maize. Four sRNA libraries were generated and sequenced from the early developmental stage of primary roots (PRY), the later developmental stage of maize primary roots (PRO), seminal roots (SR) and crown roots (CR). Through integrative analysis, we identified 278 miRNAs (246 conserved and 32 novel ones) and found that the expression patterns of miRNAs differed dramatically in different maize roots. The potential targets of the identified conserved and novel miRNAs were also predicted. In addition, our data showed that CR is more resistant to Al stress compared with PR and SR, and the differentially expressed miRNAs are likely to play significant roles in different roots in response to environmental stress such as Al stress. Here, we demonstrate that the expression patterns of miRNAs are highly diversified in different maize roots. The differentially expressed miRNAs are correlated with both the development and environmental responses in the maize root. This study not only improves our knowledge about the roles of miRNAs in maize root development but also reveals the potential role of miRNAs in the environmental responses of different maize roots.
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Affiliation(s)
- Xiangpei Kong
- The Key Laboratory of Plant Cell Engineering and Germplasm Innovation, College of Life Sciences, Shandong University, Jinan, China
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140
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Thiebaut F, Rojas CA, Grativol C, Motta MR, Vieira T, Regulski M, Martienssen RA, Farinelli L, Hemerly AS, Ferreira PCG. Genome-wide identification of microRNA and siRNA responsive to endophytic beneficial diazotrophic bacteria in maize. BMC Genomics 2014; 15:766. [PMID: 25194793 PMCID: PMC4168055 DOI: 10.1186/1471-2164-15-766] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Accepted: 08/22/2014] [Indexed: 11/10/2022] Open
Abstract
Background Small RNA (sRNA) has been described as a regulator of gene expression. In order to understand the role of maize sRNA (Zea mays – hybrid UENF 506-8) during association with endophytic nitrogen-fixing bacteria, we analyzed the sRNA regulated by its association with two diazotrophic bacteria, Herbaspirillum seropedicae and Azospirillum brasilense. Results Deep sequencing analysis was done with RNA extracted from plants inoculated with H. seropedicae, allowing the identification of miRNA and siRNA. A total of 25 conserved miRNA families and 15 novel miRNAs were identified. A dynamic regulation in response to inoculation was also observed. A hypothetical model involving copper-miRNA is proposed, emphasizing the fact that the up-regulation of miR397, miR398, miR408 and miR528, which is followed by inhibition of their targets, can facilitate association with diazotrophic bacteria. Similar expression patterns were observed in samples inoculated with A. brasilense. Moreover, novel miRNA and siRNA were classified in the Transposable Elements (TE) database, and an enrichment of siRNA aligned with TE was observed in the inoculated samples. In addition, an increase in 24-nt siRNA mapping to genes was observed, which was correlated with an increase in methylation of the coding regions and a subsequent reduction in transcription. Conclusion Our results show that maize has RNA-based silencing mechanisms that can trigger specific responses when plants interact with beneficial endophytic diazotrophic bacteria. Our findings suggest important roles for sRNA regulation in maize, and probably in other plants, during association with diazotrophic bacteria, emphasizing the up-regulation of Cu-miRNA. Electronic supplementary material The online version of this article (doi:10.1186/1471-2164-15-766) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Paulo C G Ferreira
- Laboratório de Biologia Molecular de Plantas, Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Cidade Universitária, Avenida Carlos Chagas Filho, 373, CCS, Bl,L-29ss, Rio de Janeiro RJ 21941-599, Brazil.
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141
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Genome-wide comparison of microRNAs and their targeted transcripts among leaf, flower and fruit of sweet orange. BMC Genomics 2014; 15:695. [PMID: 25142253 PMCID: PMC4158063 DOI: 10.1186/1471-2164-15-695] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2014] [Accepted: 08/15/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND In plants, microRNAs (miRNAs) regulate gene expression mainly at the post-transcriptional level. Previous studies have demonstrated that miRNA-mediated gene silencing pathways play vital roles in plant development. Here, we used a high-throughput sequencing approach to characterize the miRNAs and their targeted transcripts in the leaf, flower and fruit of sweet orange. RESULTS A total of 183 known miRNAs and 38 novel miRNAs were identified. An in-house script was used to identify all potential secondary siRNAs derived from miRNA-targeted transcripts using sRNA and degradome sequencing data. Genome mapping revealed that these miRNAs were evenly distributed across the genome with several small clusters, and 69 pre-miRNAs were co-localized with simple sequence repeats (SSRs). Noticeably, the loop size of pre-miR396c was influenced by the repeat number of CUU unit. The expression pattern of miRNAs among different tissues and developmental stages were further investigated by both qRT-PCR and RNA gel blotting. Interestingly, Csi-miR164 was highly expressed in fruit ripening stage, and was validated to target a NAC transcription factor. This study depicts a global picture of miRNAs and their target genes in the genome of sweet orange, and focused on the comparison among leaf, flower and fruit tissues. CONCLUSIONS This study provides a global view of miRNAs and their target genes in different tissue of sweet orange, and focused on the identification of miRNA involved in the regulation of fruit ripening. The results of this study lay a foundation for unraveling key regulators of orange fruit development and ripening on post-transcriptional level.
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142
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Xu F, Wang X, Feng Y, Huang W, Wang W, Li L, Fang X, Que H, Zhang G. Identification of conserved and novel microRNAs in the Pacific oyster Crassostrea gigas by deep sequencing. PLoS One 2014; 9:e104371. [PMID: 25137038 PMCID: PMC4138081 DOI: 10.1371/journal.pone.0104371] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2014] [Accepted: 07/12/2014] [Indexed: 12/15/2022] Open
Abstract
MicroRNAs (miRNAs) play important roles in regulatory processes in various organisms. To date many studies have been performed in the investigation of miRNAs of numerous bilaterians, but limited numbers of miRNAs have been identified in the few species belonging to the clade Lophotrochozoa. In the current study, deep sequencing was conducted to identify the miRNAs of Crassostrea gigas (Lophotrochozoa) at a genomic scale, using 21 libraries that included different developmental stages and adult organs. A total of 100 hairpin precursor loci were predicted to encode miRNAs. Of these, 19 precursors (pre-miRNA) were novel in the oyster. As many as 53 (53%) miRNAs were distributed in clusters and 49 (49%) precursors were intragenic, which suggests two important biogenetic sources of miRNAs. Different developmental stages were characterized with specific miRNA expression patterns that highlighted regulatory variation along a temporal axis. Conserved miRNAs were expressed universally throughout different stages and organs, whereas novel miRNAs tended to be more specific and may be related to the determination of the novel body plan. Furthermore, we developed an index named the miRNA profile age index (miRPAI) to integrate the evolutionary age and expression levels of miRNAs during a particular developmental stage. We found that the swimming stages were characterized by the youngest miRPAIs. Indeed, the large-scale expression of novel miRNAs indicated the importance of these stages during development, particularly from organogenetic and evolutionary perspectives. Some potentially important miRNAs were identified for further study through significant changes between expression patterns in different developmental events, such as metamorphosis. This study broadened the knowledge of miRNAs in animals and indicated the presence of sophisticated miRNA regulatory networks related to the biological processes in lophotrochozoans.
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Affiliation(s)
- Fei Xu
- National & Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Xiaotong Wang
- National & Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | | | - Wen Huang
- National & Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Graduate University of Chinese Academy of Sciences, Beijing, China
| | - Wei Wang
- National & Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Li Li
- National & Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | | | - Huayong Que
- National & Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Guofan Zhang
- National & Local Joint Engineering Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- * E-mail:
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143
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Wang YG, An M, Zhou SF, She YH, Li WC, Fu FL. Expression profile of maize microRNAs corresponding to their target genes under drought stress. Biochem Genet 2014; 52:474-93. [PMID: 25027834 DOI: 10.1007/s10528-014-9661-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2012] [Accepted: 07/30/2013] [Indexed: 01/21/2023]
Abstract
Microarray assay of four inbred lines was used to identify 303 microRNAs differentially expressed under drought stress. The microRNAs were used for bioinformatics prediction of their target genes. The majority of the differentially expressed microRNA families showed different expression profiles at different time points of the stress process among the four inbred lines. Digital gene expression profiling revealed 54 genes targeted by 128 of the microRNAs differentially expressed under the same stress conditions. The differential expression of miR159 and miR168 was further validated by locked nucleic acid northern hybridization. These results indicated that miR159 and miR168, as well as numerous other microRNAs, play critical roles in signaling pathways of maize response to drought stress. However, the level of the post-transcriptional regulation mediated by microRNAs had different responses among genotypes, and the gene expression related to signaling pathways under drought stress is also regulated, possibly by multiple mechanisms.
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Affiliation(s)
- Ying-Ge Wang
- Maize Research Institute, Sichuan Agricultural University, Huimin Road 211, Wenjiang, Chengdu, 611130, Sichuan, China
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Budak H, Khan Z, Kantar M. History and current status of wheat miRNAs using next-generation sequencing and their roles in development and stress. Brief Funct Genomics 2014; 14:189-98. [PMID: 24962995 DOI: 10.1093/bfgp/elu021] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
As small molecules that aid in posttranscriptional silencing, microRNA (miRNA) discovery and characterization have vastly benefited from the recent development and widespread application of next-generation sequencing (NGS) technologies. Several miRNAs were identified through sequencing of constructed small RNA libraries, whereas others were predicted by in silico methods using the recently accumulating sequence data. NGS was a major breakthrough in efforts to sequence and dissect the genomes of plants, including bread wheat and its progenitors, which have large, repetitive and complex genomes. Availability of survey sequences of wheat whole genome and its individual chromosomes enabled researchers to predict and assess wheat miRNAs both in the subgenomic and whole genome levels. Moreover, small RNA construction and sequencing-based studies identified several putative development- and stress-related wheat miRNAs, revealing their differential expression patterns in specific developmental stages and/or in response to stress conditions. With the vast amount of wheat miRNAs identified in recent years, we are approaching to an overall knowledge on the wheat miRNA repertoire. In the following years, more comprehensive research in relation to miRNA conservation or divergence across wheat and its close relatives or progenitors should be performed. Results may serve valuable in understanding both the significant roles of species-specific miRNAs and also provide us information in relation to the dynamics between miRNAs and evolution in wheat. Furthermore, putative development- or stress-related miRNAs identified should be subjected to further functional analysis, which may be valuable in efforts to develop wheat with better resistance and/or yield.
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145
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Sun F, Guo G, Du J, Guo W, Peng H, Ni Z, Sun Q, Yao Y. Whole-genome discovery of miRNAs and their targets in wheat (Triticum aestivum L.). BMC PLANT BIOLOGY 2014; 14:142. [PMID: 24885911 PMCID: PMC4048363 DOI: 10.1186/1471-2229-14-142] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2014] [Accepted: 05/19/2014] [Indexed: 05/18/2023]
Abstract
BACKGROUND MicroRNAs (miRNAs) are small, non-coding RNAs playing essential roles in plant growth, development, and stress responses. Sequencing of small RNAs is a starting point for understanding their number, diversity, expression and possible roles in plants. RESULTS In this study, we conducted a genome-wide survey of wheat miRNAs from 11 tissues, characterizing a total of 323 novel miRNAs belonging to 276 families in wheat. A miRNA conservation analysis identified 191 wheat-specific miRNAs, 2 monocot-specific miRNAs, and 30 wheat-specific variants from 9 highly conserved miRNA families. To understand possible roles of wheat miRNAs, we determined 524 potential targets for 124 miRNA families through degradome sequencing, and cleavage of a subset of them was validated via 5' RACE. Based on the genome-wide identification and characterization of miRNAs and their associated target genes, we further identified 64 miRNAs preferentially expressing in developing or germinating grains, which could play important roles in grain development. CONCLUSION We discovered 323 wheat novel miRNAs and 524 target genes for 124 miRNA families in a genome-wide level, and our data will serve as a foundation for future research into the functional roles of miRNAs in wheat.
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Affiliation(s)
- Fenglong Sun
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
| | - Guanghui Guo
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
| | - Jinkun Du
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
| | - Weiwei Guo
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
| | - Huiru Peng
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
| | - Zhongfu Ni
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
| | - Qixin Sun
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
| | - Yingyin Yao
- State Key Laboratory for Agrobiotechnology and Key Laboratory of Crop Heterosis and Utilization (MOE) and Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, PR China
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146
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Pasini L, Bergonti M, Fracasso A, Marocco A, Amaducci S. Microarray analysis of differentially expressed mRNAs and miRNAs in young leaves of sorghum under dry-down conditions. JOURNAL OF PLANT PHYSIOLOGY 2014; 171:537-548. [PMID: 24655390 DOI: 10.1016/j.jplph.2013.12.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Revised: 12/12/2013] [Accepted: 12/16/2013] [Indexed: 06/03/2023]
Abstract
Sorghum is a C4 plant adapted to semi-arid environments, and characterized by high water-use efficiency. To better understand the molecular and physiological basis of drought response the sorghum genotype IS19453, selected as a drought tolerant line during field trials, was evaluated in a "dry-down" experiment under controlled conditions. The incoming stress was monitored by determining the water potential available for 4-leaf-old plants. Control plants were maintained at approximately 2.5 pF, while water stressed plants were sampled at 3.12, 3.65 and 4.14 pF. Transcriptome analysis was monitored using a high density microarray containing all available sorghum TC sequences. Drought affected gene expression at 4.14 pF; 1205 genes resulted up-regulated. Most of the differentially expressed genes were involved in regulation of transcription (bZIPs, MYBs, HOXs), signal transduction (phosphoesterases, kinases, phosphatases), carbon metabolism (NADP-ME), detoxification (CYPs, GST, AKRs), osmoprotection mechanisms (P5CS) and stability of protein membranes (DHN1, LEA, HSPs). Several of them could be located in stay green QTLs. Eight were selected and validated by qRT-PCR. A dedicated miRNA microarray allowed the identification of four families of miRNAs up-regulated in the earlier phase of stress, while one family was down-regulated. The selected drought related genes could be used to screen for potential drought tolerance in other sorghum genotypes.
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Affiliation(s)
- Luca Pasini
- Istituto di Agronomia, Genetica e Coltivazioni erbacee, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 20122 Piacenza, Italy
| | - Mauro Bergonti
- Istituto di Agronomia, Genetica e Coltivazioni erbacee, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 20122 Piacenza, Italy
| | - Alessandra Fracasso
- Istituto di Agronomia, Genetica e Coltivazioni erbacee, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 20122 Piacenza, Italy
| | - Adriano Marocco
- Istituto di Agronomia, Genetica e Coltivazioni erbacee, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 20122 Piacenza, Italy
| | - Stefano Amaducci
- Istituto di Agronomia, Genetica e Coltivazioni erbacee, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 20122 Piacenza, Italy.
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147
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Chao YT, Su CL, Jean WH, Chen WC, Chang YCA, Shih MC. Identification and characterization of the microRNA transcriptome of a moth orchid Phalaenopsis aphrodite. PLANT MOLECULAR BIOLOGY 2014; 84:529-48. [PMID: 24173913 PMCID: PMC3920020 DOI: 10.1007/s11103-013-0150-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2013] [Accepted: 10/24/2013] [Indexed: 05/21/2023]
Abstract
Orchids display unique phenotypes, functional characteristics and ecological adaptations that are not found in model plants. In this study, we aimed to characterize the microRNA (miRNA) transcriptome and identify species- and tissue-specific miRNAs in Phalaenopsis aphrodite. After data filtering and cleanup, a total of 59,387,374 reads, representing 1,649,996 unique reads, were obtained from four P. aphrodite small RNA libraries. A systematic bioinformatics analysis pipeline was developed that can be used for miRNA and precursor mining, and target gene prediction in non-model plants. A total of 3,251 unique reads for 181 known plant miRNAs (belonging to 88 miRNA families), 23 new miRNAs and 91 precursors were identified. All the miRNA star sequences (miRNA*), the complementary strands of miRNA that from miRNA/miRNA* duplexes, of the predicted new miRNAs were detected in our small RNA libraries, providing additional evidence for their existence as new miRNAs in P. aphrodite. Furthermore, 240 potential miRNA-targets that appear to be involved in many different biological activities and molecular functions, especially transcription factors, were identified, suggesting that miRNAs can impact multiple processes in P. aphrodite. We also verified the cleavage sites for six targets using RNA ligase-mediated rapid amplification of 5' ends assay. The results provide valuable information about the composition, expression and function of miRNA in P. aphrodite, and will aid functional genomics studies of orchids.
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Affiliation(s)
- Ya-Ting Chao
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, 11529 Taiwan
| | - Chun-Lin Su
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, 11529 Taiwan
| | - Wen-Han Jean
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, 11529 Taiwan
| | - Wan-Chieh Chen
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, 11529 Taiwan
| | - Yao-Chien Alex Chang
- Department of Horticulture and Landscape Architecture, National Taiwan University, Taipei, 10617 Taiwan
| | - Ming-Che Shih
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, 11529 Taiwan
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148
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Candaele J, Demuynck K, Mosoti D, Beemster GT, Inzé D, Nelissen H. Differential methylation during maize leaf growth targets developmentally regulated genes. PLANT PHYSIOLOGY 2014; 164:1350-64. [PMID: 24488968 PMCID: PMC3938625 DOI: 10.1104/pp.113.233312] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2013] [Accepted: 01/28/2014] [Indexed: 05/20/2023]
Abstract
DNA methylation is an important and widespread epigenetic modification in plant genomes, mediated by DNA methyltransferases (DMTs). DNA methylation is known to play a role in genome protection, regulation of gene expression, and splicing and was previously associated with major developmental reprogramming in plants, such as vernalization and transition to flowering. Here, we show that DNA methylation also controls the growth processes of cell division and cell expansion within a growing organ. The maize (Zea mays) leaf offers a great tool to study growth processes, as the cells progressively move through the spatial gradient encompassing the division zone, transition zone, elongation zone, and mature zone. Opposite to de novo DMTs, the maintenance DMTs were transcriptionally regulated throughout the growth zone of the maize leaf, concomitant with differential CCGG methylation levels in the four zones. Surprisingly, the majority of differentially methylated sequences mapped on or close to gene bodies and not to repeat-rich loci. Moreover, especially the 5' and 3' regions of genes, which show overall low methylation levels, underwent differential methylation in a developmental context. Genes involved in processes such as chromatin remodeling, cell cycle progression, and growth regulation, were differentially methylated. The presence of differential methylation located upstream of the gene anticorrelated with transcript expression, while gene body differential methylation was unrelated to the expression level. These data indicate that DNA methylation is correlated with the decision to exit mitotic cell division and to enter cell expansion, which adds a new epigenetic level to the regulation of growth processes.
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149
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Hu W, Wang T, Xu J, Li H. MicroRNA mediates DNA methylation of target genes. Biochem Biophys Res Commun 2014; 444:676-81. [PMID: 24508262 DOI: 10.1016/j.bbrc.2014.01.171] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2014] [Accepted: 01/28/2014] [Indexed: 11/27/2022]
Abstract
Small RNAs represented by microRNA (miRNA) plays important roles in plant development and responds to biotic and abiotic stresses. Previous studies have placed special emphasis on gene-repression mediated by miRNA. In this work, the DNA methylation pattern of microRNA genes (MIRs) was interrogated. Full-length cDNA and EST were used to confirm the entity of pri-miRNA. In parallel, miRNA in 24 nucleotides (nt) was pooled to detect chromatin modification effect by using bisulfite sequencing data. 97 MIRs were supported by full-length cDNA and 30 more were hit by EST. Notably, methylation levels of conserved MIRs were significantly lower than the non-conserved at all contexts (CG, CHG, and CHH). Additionally, a substantial part of 24-nt miRNA was able to induce target site methylation, providing a broader perspective for researchers.
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Affiliation(s)
- Wangxiong Hu
- College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, China; Zhejiang-California International Nanosystems Institute, Zhejiang University, Hangzhou, Zhejiang 310058, China; Zhejiang Provincial Key Laboratory of Medical Genetics, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China.
| | - Tingzhang Wang
- Institute of Crop Science, Zhejiang Key Laboratory of Crop Germplasm, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Jianhong Xu
- Institute of Crop Science, Zhejiang Key Laboratory of Crop Germplasm, Zhejiang University, Hangzhou, Zhejiang 310058, China
| | - Hongzhi Li
- Zhejiang Provincial Key Laboratory of Medical Genetics, Wenzhou Medical University, Wenzhou, Zhejiang 325035, China.
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150
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Verma SS, Rahman MH, Deyholos MK, Basu U, Kav NNV. Differential expression of miRNAs in Brassica napus root following infection with Plasmodiophora brassicae. PLoS One 2014; 9:e86648. [PMID: 24497962 PMCID: PMC3909011 DOI: 10.1371/journal.pone.0086648] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2013] [Accepted: 12/17/2013] [Indexed: 12/29/2022] Open
Abstract
Canola (oilseed rape, Brassica napus L.) is susceptible to infection by the biotrophic protist Plasmodiophora brassicae, the causal agent of clubroot. To understand the roles of microRNAs (miRNAs) during the post-transcriptional regulation of disease initiation and progression, we have characterized the changes in miRNA expression profiles in canola roots during clubroot disease development and have compared these to uninfected roots. Two different stages of clubroot development were targeted in this miRNA profiling study: an early time of 10-dpi for disease initiation and a later 20-dpi, by which time the pathogen had colonized the roots (as evident by visible gall formation and histological observations). P. brassicae responsive miRNAs were identified and validated by qRT-PCR of miRNAs and the subsequent validation of the target mRNAs through starBase degradome analysis, and through 5' RLM-RACE. This study identifies putative miRNA-regulated genes with roles during clubroot disease initiation and development. Putative target genes identified in this study included: transcription factors (TFs), hormone-related genes, as well as genes associated with plant stress response regulation such as cytokinin, auxin/ethylene response elements. The results of our study may assist in elucidating the role of miRNAs in post-transcriptional regulation of target genes during disease development and may contribute to the development of strategies to engineer durable resistance to this important phytopathogen.
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Affiliation(s)
- Shiv S. Verma
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Muhammad H. Rahman
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Michael K. Deyholos
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Urmila Basu
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Nat N. V. Kav
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
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