17 results on '"Ramanjulu Sunkar"'
Search Results
2. Epigenetics and epigenomics: underlying mechanisms, relevance, and implications in crop improvement
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Chad E. Niederhuth, Himabindu Kudapa, Vikas K. Singh, Gaurav Agarwal, Manish K. Pandey, Abirami Ramalingam, Henry T. Nguyen, Gunvant Patil, Rajeev K. Varshney, Vanika Garg, Divya Choudhary, Ramanjulu Sunkar, Baozhu Guo, and Pallavi Sinha
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Crops, Agricultural ,Epigenomics ,0106 biological sciences ,0301 basic medicine ,Plant Development ,Computational biology ,01 natural sciences ,DNA sequencing ,Histones ,03 medical and health sciences ,Gene Expression Regulation, Plant ,Genetics ,Epigenetics ,Phenotypic plasticity ,biology ,General Medicine ,Methylation ,DNA Methylation ,Plants ,Chromatin ,Histone Code ,Plant Breeding ,030104 developmental biology ,Histone ,DNA methylation ,biology.protein ,sense organs ,Protein Processing, Post-Translational ,010606 plant biology & botany - Abstract
Epigenetics is defined as changes in gene expression that are not associated with changes in DNA sequence but due to the result of methylation of DNA and post-translational modifications to the histones. These epigenetic modifications are known to regulate gene expression by bringing changes in the chromatin state, which underlies plant development and shapes phenotypic plasticity in responses to the environment and internal cues. This review articulates the role of histone modifications and DNA methylation in modulating biotic and abiotic stresses, as well as crop improvement. It also highlights the possibility of engineering epigenomes and epigenome-based predictive models for improving agronomic traits.
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- 2020
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3. MicroRNA expression profiles in the emerging tillers and inflorescence of switchgrass, a major feedstock for biofuel production
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Ramanjulu Sunkar, Yun Zheng, Jessica Matts, and Guru Jagadeeswaran
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0106 biological sciences ,0301 basic medicine ,education.field_of_study ,Small RNA ,Population ,food and beverages ,Plant physiology ,RNA ,Plant Science ,Biology ,01 natural sciences ,03 medical and health sciences ,030104 developmental biology ,Inflorescence ,microRNA ,Botany ,Gene expression ,education ,Agronomy and Crop Science ,Gene ,010606 plant biology & botany - Abstract
MicroRNAs are known to regulate almost all developmental processes in plants. These are ubiquitously expressed and most importantly their abundances vary by several orders of magnitude in different tissues and developmental stages. MicroRNA profiles in seedlings and leaves of switchgrass have been reported but not from the inflorescence or tillers. The overall small RNA population in inflorescence differs from the other vegetative organs, and, moreover, miRNAs are important regulators of flowering and flower development, thus inflorescence was chosen. Likewise, emerging tillers were chosen to identify miRNAs that might play a role in tillering, which is an important trait contributing to higher biomass production. The sequencing followed by computational analyses of small RNA libraries generated from inflorescence and emerging tillers revealed the identification of 28 conserved and 4 novel miRNA families. The expression levels of most miRNA families and miRNA variants within a family displayed greater differences between the tissues. Importantly, this study has offered insights into differences in abundances of miRNA families in the inflorescence and tillers. Specifically, the reported miRNA profiles from tillers are a valuable resource to examine which of these miRNAs play important roles in tillering, an important agronomic trait in this bioenergy crop.
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- 2017
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4. Pearl millet genome sequence provides a resource to improve agronomic traits in arid environments
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Jun Wang, Katrien M. Devos, Jianping Wang, Andrew H. Paterson, Cédric Mariac, Xinming Liang, Wenbin Chen, Dadakhalandar Doddamani, Sunil Gupta, Om Parkash Yadav, Rattan Yadav, Eric Lyons, Rajeev K. Varshney, Arindam Ghatak, Wolfram Weckwerth, C. Tom Hash, He Zhang, Mame Codou Gueye, Dev Paudel, Abhishek Rathore, Palak Chaturvedi, R. S. Mahala, Christian Dupuy, Xun Xu, Jeffrey L. Bennetzen, Guangyi Fan, Swapan K. Datta, Yusheng Zhao, Somashekhar Punnuri, Annapurna Chitikineni, Ndjido Ardo Kane, Mohan A. V. S. K. Katta, Falalou Hamidou, Francesca Sparvoli, Jason G. Wallace, Mahendar Thudi, Edward S. Buckler, Joann A. Conner, Prasad Bajaj, Xiyin Wang, Ramanjulu Sunkar, Peggy Ozias-Akins, Marie Couderc, Bharat P. Singh, Trilochan Mohapatra, Stefania Grando, Xin Liu, Bénédicte Rhoné, Vanika Garg, K. D. Mungra, Hari D. Upadhyaya, Chengcheng Shi, Peng Qi, Philippe Cubry, Yong Jiang, Hao Wang, Karen R. Harris-Shultz, Sabarinath Subramaniam, Yves Vigouroux, Jérémy Clotault, Cécile Berthouly-Salazar, Shifeng Cheng, Jochen C. Reif, Neetin Desai, Rakesh K. Srivastava, Institut des Mondes Africains (IMAF), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École des hautes études en sciences sociales (EHESS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), ANR-13-BSV7-0017,AfriCrop,Etude de l'histoire évolutive des plantes domestiquées africaines(2013), Diversité, adaptation, développement des plantes (UMR DIADE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Numerical modeling and high performance computing for evolution problems in complex domains and heterogeneous media (NACHOS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Alexandre Dieudonné (JAD), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS), Institut Sénégalais de Recherches Agricoles [Dakar] (ISRA), Institut de Recherche en Horticulture et Semences (IRHS), Université d'Angers (UA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Unité de Recherches Forestières Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Université Paris 1 Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE), Unité de Mécanique (UME), École Nationale Supérieure de Techniques Avancées (ENSTA Paris), State Key Laboratory of Fine Chemicals, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Alexandre Dieudonné (LJAD), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Université d'Angers (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Université d'Angers (UA)-AGROCAMPUS OUEST-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Université Panthéon-Sorbonne (UP1)-Institut de Recherche pour le Développement (IRD)-École des hautes études en sciences sociales (EHESS)-École pratique des hautes études (EPHE)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
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0301 basic medicine ,genome sequence ,[SDV]Life Sciences [q-bio] ,adaptation ,Applied Microbiology and Biotechnology ,hybridism ,Conserved Sequence ,2. Zero hunger ,Agriculture ,Staple food ,genetic diversity ,Genomics ,hybridations ,Phenotype ,diversité génétique ,pennisetum glaucum ,Molecular Medicine ,Desert Climate ,pearl millet ,Genome, Plant ,Biotechnology ,Agricultural genetics ,Pennisetum ,[SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory ,Drought tolerance ,Biomedical Engineering ,Bioengineering ,Biology ,Genes, Plant ,milieu aride ,Article ,domestication ,03 medical and health sciences ,Quantitative Trait, Heritable ,Mil (Cenchrus americanus) ,Genetic variation ,Plant breeding ,Domestication ,Millet (Cenchrus americanus) ,Genetic diversity ,Base Sequence ,Genetic Variation ,Molecular Sequence Annotation ,15. Life on land ,Arid ,arid environment ,Plant Breeding ,030104 developmental biology ,Agronomy ,Next-generation sequencing ,Hybridization, Genetic ,Genome-Wide Association Study - Abstract
Draft genome, 994 re-sequenced lines and GWAS for yield-traits provide a resource of genetics and genomics tools for pearl millet researchers and breeders. Supplementary information The online version of this article (doi:10.1038/nbt.3943) contains supplementary material, which is available to authorized users., Pearl millet [Cenchrus americanus (L.) Morrone] is a staple food for more than 90 million farmers in arid and semi-arid regions of sub-Saharan Africa, India and South Asia. We report the ∼1.79 Gb draft whole genome sequence of reference genotype Tift 23D2B1-P1-P5, which contains an estimated 38,579 genes. We highlight the substantial enrichment for wax biosynthesis genes, which may contribute to heat and drought tolerance in this crop. We resequenced and analyzed 994 pearl millet lines, enabling insights into population structure, genetic diversity and domestication. We use these resequencing data to establish marker trait associations for genomic selection, to define heterotic pools, and to predict hybrid performance. We believe that these resources should empower researchers and breeders to improve this important staple crop. Supplementary information The online version of this article (doi:10.1038/nbt.3943) contains supplementary material, which is available to authorized users.
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- 2017
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5. Analysis of microRNAs, phased small interfering RNAs and their potential targets in Rosarugosa Thunb
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Junqiang Guo, Yun Zheng, Shuchao Ren, Bingbing Jiang, Chenyu Lu, Shipeng Li, Zhigang Zhao, Peiran Liao, Qingyi Wang, Ramanjulu Sunkar, and Li Liu
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0106 biological sciences ,lcsh:QH426-470 ,Bioinformatics ,lcsh:Biotechnology ,Biology ,Rosa ,Proteomics ,01 natural sciences ,DNA sequencing ,03 medical and health sciences ,SeqTar ,Gene Expression Regulation, Plant ,lcsh:TP248.13-248.65 ,microRNA ,Rosa rugosa Thunb ,Genetics ,RNA, Small Interfering ,KEGG ,Gene ,Plant Proteins ,030304 developmental biology ,0303 health sciences ,High-throughput sequencing ,Phased small interfering RNA (phasiRNA) ,Research ,Degradome ,Computational Biology ,High-Throughput Nucleotide Sequencing ,RNA ,Plant Leaves ,MicroRNAs ,lcsh:Genetics ,RNA, Plant ,Petal ,DNA microarray ,010606 plant biology & botany ,Biotechnology - Abstract
Background MicroRNAs (miRNAs) are small non-coding RNAs that play important roles by regulating other genes. Rosa rugosa Thunb. is an important ornamental and edible plant, yet there are only a few studies on the miRNAs and their functions in R. rugosa. Results We sequenced 10 samll RNA profiles from the roots, petals, pollens, stamens, and leaves and 4 RNA-seq profiles in leaves and petals to analysis miRNA, phasiRNAs and mRNAs in R. rugosa. In addition, we acquired a degradome sequencing profile from leaf of R. rugosa to identify miRNA and phasiRNA targets using the SeqTar algorithm. We have identified 321 conserved miRNA homologs including primary transcripts for 25 conserved miRNAs, and 22 novel miRNAs. We identified 592 putative targets of the conserved miRNAs or tasiRNAs that showed significant accumulations of degradome reads. We found differential expression patterns of conserved miRNAs in five different tissues of R. rugosa. We identified three hundred and thirty nine 21 nucleotide (nt) PHAS loci, and forty nine 24 nt PHAS loci, respectively. Our results suggest that miR482 triggers generations of phasiRNAs by targeting nucleotide-binding, leucine-rich repeat (NB-LRR) disease resistance genes in R. rugosa. Our results also suggest that the deregulated genes in leaves and petals are significantly enriched in GO terms and KEGG pathways related to metabolic processes and photosynthesis. Conclusions These results significantly enhanced our knowledge of the miRNAs and phasiRNAs, as well as their potential functions, in R. rugosa. Electronic supplementary material The online version of this article (10.1186/s12864-018-5325-2) contains supplementary material, which is available to authorized users.
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- 2019
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6. MicroRNA dynamics in a wild and cultivated species of Convolvulaceae exposed to drought stress
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Yun Zheng, Ramanjulu Sunkar, Li Liu, Vallabhi Ghorecha, and N. S. R. Krishnayya
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0301 basic medicine ,Drought stress ,Physiology ,fungi ,food and beverages ,Plant physiology ,Plant Science ,Biology ,biology.organism_classification ,Ipomoea ,03 medical and health sciences ,030104 developmental biology ,Downregulation and upregulation ,parasitic diseases ,microRNA ,Botany ,Gene expression ,Adaptation ,Convolvulaceae ,Molecular Biology ,Research Article - Abstract
Agricultural productivity is severely hampered by drought in many parts of the globe. It is well-known that wild plant species can tolerate drought better when compared with their closely related cultivated plant species. Better drought adaptation of wild species over cultivated ones is accounted for their ability to differentially regulate gene expression. miRNAs, known to regulate gene expression at the post-transcriptional level, are admitted to play an important role in plant adaptation to stresses. This study aims at evaluating miRNA dynamics in a drought-tolerant wild Ipomoea campanulata L. and drought-sensitive cultivated Jacquemontia pentantha (Jacq.) of the family Convolvulaceae under ex situ drought. Sequencing profiles revealed that 34 conserved miRNA families were analogous between the two species. Drought altered expression levels of several of these miRNAs in both the species. Drought-tolerant I. campanulata showed upregulation of miR398, miR168, miR858, miR162 and miR408, while miR394 and miR171 were downregulated. Drought-sensitive J. pentantha showed upregulation of miR394, miR156, miR160, miR164, miR167, miR172, miR319, miR395, miR396, miR403 and downregulation of miR157. Basal miRNA levels and their drought mediated regulation were very different between the two species. Differential drought sensitivities of these two plant species can be attributed to these innate variations in miRNA levels and their expression.
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- 2017
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7. Identification of microRNAs, phasiRNAs and Their Targets in Pineapple
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Ray Ming, Xiaotuo Zhang, Ting Li, Bo Ji, Kun Chen, Yun Zheng, Ramanjulu Sunkar, Zhenning Xu, Shengpeng Wang, and Ching Man Wai
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0106 biological sciences ,0301 basic medicine ,Genome evolution ,Small RNA ,Obligate ,business.industry ,Plant Science ,Computational biology ,Biology ,01 natural sciences ,Biotechnology ,03 medical and health sciences ,030104 developmental biology ,microRNA ,Genetics ,Plant species ,Target mrna ,business ,010606 plant biology & botany - Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that regulate their target mRNA levels by directing cleavage or repressing its translation. Besides its outstanding nutritional and medicinal significances, pineapple serves as a model for studying genome evolution in cereal crops as well as obligate crassulacean acid metabolism (CAM) photosynthesis. Thus, studying miRNAs in pineapple is critical for better understanding their roles in this plant species. Here we carried out computational and experimental analysis of miRNAs and phased small interfering RNAs (phasiRNAs) in pineapple by analyzing small RNA profiles from flowers, fruits and leaves. The analyses have identified 131 conserved miRNAs that could be grouped into 37 families and 16 novel miRNAs. Three TAS3 loci and forty five 21 nucleotide (nt) PHAS loci, and seventy three 24 nt PHAS loci were also identified. The putative targets of the identified miRNAs and phasiRNAs were predicted. The presented results provide a comprehensive view of small regulatory RNAs and their targets in pineapple.
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- 2016
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8. Comparative transcriptome and translatome analysis in contrasting rice genotypes reveals differential mRNA translation in salt-tolerant Pokkali under salt stress
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Smitha Jose, Piyalee Panda, Lakshminarayana R. Vemireddy, Yong-Fang Li, Yun Zheng, Cui Junxia, Ramanjulu Sunkar, Ganesan Govindan, Alok Ranjan, Gnanambal Charmaine Naidoo, Kangning Wei, Sanjib Kumar Panda, and Mahmoud W. Yaish
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0301 basic medicine ,Translation ,Genotype ,lcsh:QH426-470 ,lcsh:Biotechnology ,Salt stress ,RNA-Seq ,Biology ,Transcriptome ,03 medical and health sciences ,lcsh:TP248.13-248.65 ,Translational regulation ,Genetics ,Transcriptional regulation ,RNA, Messenger ,Gene ,Plant Proteins ,Regulation of gene expression ,Gene Expression Profiling ,Research ,Oryza ,Salt Tolerance ,Phenotype ,Gene regulation ,Cell biology ,lcsh:Genetics ,Gene Ontology ,030104 developmental biology ,Protein Biosynthesis ,Polysomal RNA-Seq ,Rice ,DNA microarray ,Reactive Oxygen Species ,Transcription ,Biotechnology - Abstract
Background Soil salinity is one of the primary causes of yield decline in rice. Pokkali (Pok) is a highly salt-tolerant landrace, whereas IR29 is a salt-sensitive but widely cultivated genotype. Comparative analysis of these genotypes may offer a better understanding of the salinity tolerance mechanisms in rice. Although most stress-responsive genes are regulated at the transcriptional level, in many cases, changes at the transcriptional level are not always accompanied with the changes in protein abundance, which suggests that the transcriptome needs to be studied in conjunction with the proteome to link the phenotype of stress tolerance or sensitivity. Published reports have largely underscored the importance of transcriptional regulation during salt stress in these genotypes, but the regulation at the translational level has been rarely studied. Using RNA-Seq, we simultaneously analyzed the transcriptome and translatome from control and salt-exposed Pok and IR29 seedlings to unravel molecular insights into gene regulatory mechanisms that differ between these genotypes. Results Clear differences were evident at both transcriptional and translational levels between the two genotypes even under the control condition. In response to salt stress, 57 differentially expressed genes (DEGs) were commonly upregulated at both transcriptional and translational levels in both genotypes; the overall number of up/downregulated DEGs in IR29 was comparable at both transcriptional and translational levels, whereas in Pok, the number of upregulated DEGs was considerably higher at the translational level (544 DEGs) than at the transcriptional level (219 DEGs); in contrast, the number of downregulated DEGs (58) was significantly less at the translational level than at the transcriptional level (397 DEGs). These results imply that Pok stabilizes mRNAs and also efficiently loads mRNAs onto polysomes for translation during salt stress. Conclusion Under salt stress, Pok is more efficient in maintaining cell wall integrity, detoxifying reactive oxygen species (ROS), translocating molecules and maintaining photosynthesis. The present study confirmed the known salt stress-associated genes and also identified a number of putative new salt-responsive genes. Most importantly, the study revealed that the translational regulation under salinity plays an important role in salt-tolerant Pok, but such regulation was less evident in the salt-sensitive IR29. Electronic supplementary material The online version of this article (10.1186/s12864-018-5279-4) contains supplementary material, which is available to authorized users.
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- 2018
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9. Small RNA profiles from Panax notoginseng roots differing in sizes reveal correlation between miR156 abundances and root biomass levels
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Zhenning Xu, Yun Zheng, Kangning Wei, Li Liu, Peiran Liao, Xiaotuo Zhang, Kun Chen, Ramanjulu Sunkar, Yong-Fang Li, Xiuming Cui, and Diqiu Liu
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0301 basic medicine ,Small RNA ,lcsh:Medicine ,Panax notoginseng ,Plant Roots ,Article ,Conserved sequence ,Evolution, Molecular ,Transcriptome ,03 medical and health sciences ,microRNA ,Botany ,Biomass ,lcsh:Science ,Gene ,Conserved Sequence ,Regulation of gene expression ,Multidisciplinary ,biology ,lcsh:R ,Reproducibility of Results ,RNA ,biology.organism_classification ,MicroRNAs ,030104 developmental biology ,Nucleic Acid Conformation ,RNA, Small Untranslated ,lcsh:Q - Abstract
Plant genomes encode several classes of small regulatory RNAs (sRNAs) that play critical roles in both development and stress responses. Panax notoginseng (Burk.) F.H. Chen (P. notoginseng) is an important traditional Chinese herbal medicinal plant species for its haemostatic effects. Therefore, the root yield of P. notoginseng is a major economically important trait since the roots of P. notoginseng are the parts used to produce medicine. To identify sRNAs that are critical for the root biomass of P. notoginseng, we performed a comprehensive study of miRNA transcriptomes from P. notoginseng roots of different biomasses. We identified 675 conserved miRNAs, of which 180 pre-miRNAs are also identified, and three TAS3 loci in P. notoginseng. By using degradome sequencing, we identified 79 conserved miRNA:target or tasiRNA:target interactions, of which eight were further confirmed with the RLM 5′-RACE experiments. More importantly, our results revealed that a member of miR156 family and one of its SPL target genes have inverse expression levels, which is tightly correlated with greater root biomass contents. These results not only contributes to overall understanding of post-transcriptional gene regulation in roots of P. notoginseng but also could serve as markers for breeding P. notoginseng with greater root yield.
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- 2017
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10. Thermal Stress Impacts on Reproductive Development and Grain Yield in Grain Legumes
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Gogoi, Nirmali, primary, Farooq, Muhammad, additional, Barthakur, Sharmistha, additional, Baroowa, Bhaswatee, additional, Paul, Sreyashi, additional, Bharadwaj, Nandita, additional, and Ramanjulu, Sunkar, additional
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- 2018
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11. Analysis of biochemical variations and microRNA expression in wild (Ipomoea campanulata) and cultivated (Jacquemontia pentantha) species exposed to in vivo water stress
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Vallabhi Ghorecha, Ramanjulu Sunkar, Ketan D. Patel, Sanjay S. Ingle, and N. S. R. Krishnayya
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biology ,Physiology ,fungi ,Plant physiology ,Plant Science ,biology.organism_classification ,Ipomoea ,Superoxide dismutase ,Lipid peroxidation ,chemistry.chemical_compound ,chemistry ,In vivo ,Arabidopsis ,Anthocyanin ,Chlorophyll ,Botany ,biology.protein ,Molecular Biology ,Research Article - Abstract
The current study analyses few important biochemical parameters and microRNA expression in two closely related species (wild but tolerant Ipomoea campanulata L. and cultivated but sensitive Jacquemontia pentantha Jacq.G.Don) exposed to water deficit conditions naturally occurring in the field. Under soil water deficit, both the species showed reduction in their leaf area and SLA as compared to well-watered condition. A greater decrease in chlorophyll was noticed in J. pentantha (~50 %) as compared to I. campanulata (20 %) under stress. By contrast, anthocyanin and MDA accumulation was greater in J. pentantha as compared to I. campanulata. Multiple isoforms of superoxide dismutases (SODs) with differing activities were observed under stress in these two plant species. CuZnSOD isoforms showed comparatively higher induction (~10–40 %) in I. campanulata than J. pentantha. MicroRNAs, miR398, miR319, miR395 miR172, and miR408 showed opposing expression under water deficit in these two plant species. Expression of miR156, miR168, miR171, miR172, miR393, miR319, miR396, miR397 and miR408 from either I. campanulata or J. pentantha or both demonstrated opposite pattern of expression to that of drought stressed Arabidopsis. The better tolerance of the wild species (I. campanulata) to water deficit could be attributed to lesser variations in chlorophyll and anthocyanin levels; and relatively higher levels of SODs than J. pentantha. miRNA expression was different in I. campanulata than J. pentantha.
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- 2013
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12. Genome-Wide Analysis of MicroRNAs in Sacred Lotus, Nelumbo nucifera (Gaertn)
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Ray Ming, Nian Wang, Ramanjulu Sunkar, Yun Zheng, Kanchana Gowdu, Guru Jagadeeswaran, and Shaohua Li
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Regulation of gene expression ,Small RNA ,Messenger RNA ,biology ,fungi ,Lotus ,food and beverages ,Plant Science ,Computational biology ,biology.organism_classification ,Proteales ,microRNA ,Botany ,Genetics ,Protein biosynthesis ,Gene - Abstract
MicroRNAs (miRNAs) are small non-coding regulatory RNAs that degrade or repress protein synthesis of their messenger RNA targets. This mode of posttranscriptional gene regulation is critical for plant growth and development as well as adaptation to stress conditions. Sacred lotus (Nelumbo nucifera) is a land plant but adapted to the aquatic environment. It is a basal eudicot in the order Proteales, with significant taxonomic importance. Thus identification of miRNAs in sacred lotus could provide information about miRNA evolution, particularly the conservation as well as divergence of miRNAs in dicots. To identify conserved and novel miRNAs in sacred lotus, small RNA libraries from leaves and flowers were sequenced as well as computational strategy was employed. These approaches resulted in identification of 81 miRNAs that can be grouped into 41 conserved/known miRNA families and 52 novel miRNAs forming 49 novel miRNA families. Using 3 mismatches between miRNAs and their mRNA targets as cutoff, we have predicted 137 genes as targets for the conserved and known miRNAs. Overall, this analysis provided a glimpse of miRNA-dependent posttranscriptional gene regulations in sacred lotus.
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- 2013
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13. Dynamic Regulation of Novel and Conserved miRNAs Across Various Tissues of Diverse Cucurbit Species
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Aldo Almeida, Padma Nimmakayala, Umesh K. Reddy, Sumanth Manohar, Yan R. Tomason, Ramanjulu Sunkar, Amnon Levi, and Guru Jagadeeswaran
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Genetics ,Small RNA ,biology ,Momordica ,food and beverages ,Plant Science ,biology.organism_classification ,Proteomics ,Deep sequencing ,Cucurbita pepo ,Cucurbita moschata ,microRNA ,Botany ,Molecular Biology ,Gene - Abstract
MicroRNA genes (miRNAs) encoding small non-coding RNAs are abundant in plant genomes and play a key role in regulating several biological mechanisms. Five conserved miRNAs, miR156, miR168-1, miR168-2, miR164, and miR166 were selected for analysis from the 21 known plant miRNA families that were recovered from deep sequencing data of small RNA libraries of pumpkin and squash. A total of six novel miRNAs that were not reported before were found to have precursors with reliable fold-back structures and hence considered novel and were designated as cuc_nov_miRNAs. A set of five conserved, six novel miRNAs, and five uncharacterized small RNAs from the deep sequencing data were profiled for their dynamic regulation using qPCR. The miRNAs were evaluated for differential regulation across the tissues among four diverse cucurbit species, including pumpkin and squash (Cucurbita moschata Duch. Ex Poir. and Cucurbita pepo L.), bitter melon (Momordica charantia L.), and Luffa (Loofah) (Luffa acutangula Roxb.). Expression analysis revealed differential regulation of various miRNAs in leaf, stem, and fruit tissues. Importantly, differences in the expression levels were also found in the leaves and fruits of closely related C. moschata and C. pepo. Comparative miRNA profiling and expression analysis in four cucurbits led to identification of conserved miRNAs in cucurbits. Predicted targets for two of the conserved miRNAs suggested miRNAs are involved in regulating similar biological mechanisms in various species of cucurbits.
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- 2012
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14. Small RNAs: regulators of plant development and climate resilience
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Ramanjulu Sunkar, Mandapaka Maheswari, and Supriyo Chakraborty
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0106 biological sciences ,Ecology ,Plant physiology ,Plant Science ,010501 environmental sciences ,Biology ,Climate resilience ,01 natural sciences ,Plant ecology ,Plant development ,Plant biochemistry ,Agronomy and Crop Science ,010606 plant biology & botany ,0105 earth and related environmental sciences - Published
- 2017
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15. Deep sequencing of small RNA libraries reveals dynamic regulation of conserved and novel microRNAs and microRNA-stars during silkworm development
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Niranji Sumathipala, Haobo Jiang, Yun Zheng, Estela L. Arrese, Weixiong Zhang, Ramanjulu Sunkar, Guru Jagadeeswaran, and Jose L. Soulages
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Small RNA ,lcsh:QH426-470 ,lcsh:Biotechnology ,Molecular Sequence Data ,Sequence alignment ,Biology ,Deep sequencing ,03 medical and health sciences ,0302 clinical medicine ,Species Specificity ,lcsh:TP248.13-248.65 ,Genetics ,Animals ,RNA, Antisense ,Gene ,Gene Library ,030304 developmental biology ,Bombyx ,Regulation of gene expression ,0303 health sciences ,Base Sequence ,Sequence Analysis, RNA ,Gene Expression Profiling ,fungi ,Pupa ,Gene Expression Regulation, Developmental ,RNA ,biology.organism_classification ,Gene expression profiling ,lcsh:Genetics ,MicroRNAs ,Larva ,030220 oncology & carcinogenesis ,Nucleic Acid Conformation ,Sequence Alignment ,Research Article ,Biotechnology - Abstract
Background In eukaryotes, microRNAs (miRNAs) have emerged as critical regulators of gene expression. The Silkworm (Bombyx mori L.) is one of the most suitable lepidopteran insects for studying the molecular aspects of metamorphosis because of its large size, availability of mutants and genome sequence. Besides, this insect also has been amply studied from a physiological and biochemical perspective. Deep sequencing of small RNAs isolated from different stages of silkworm is a powerful tool not only for measuring the changes in miRNA profile but also for discovering novel miRNAs. Results We generated small RNA libraries from feeding larvae, spinning larvae, pupae and adults of B. mori and obtained ~2.5 million reads of 18-30 nt. Sequence analysis identified 14 novel and 101 conserved miRNAs. Most novel miRNAs are preferentially expressed in pupae, whereas more than 95% of the conserved miRNAs are dynamically regulated during different developmental stages. Remarkably, the miRNA-star (miR*) of four miRNAs are expressed at much higher levels than their corresponding miRNAs, and their expression profiles are distinct from their corresponding miRNA profiles during different developmental stages. Additionally, we detected two antisense miRNA loci (miR-263-S and miR-263-AS; miR-306-S and miR-306-AS) that are expressed in sense and antisense directions. Interestingly, miR-263 and miR-306 are preferentially and abundantly expressed in pupae and adults, respectively. Conclusions We identified 101 homologs of conserved miRNAs, 14 species-specific and two antisense miRNAs in the silkworm. Our results provided deeper insights into changes in conserved and novel miRNA and miRNA* accumulation during development.
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- 2010
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16. In silico identification of conserved microRNAs in large number of diverse plant species
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Ramanjulu Sunkar and Guru Jagadeeswaran
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In silico ,Molecular Sequence Data ,Plant Science ,Computational biology ,Biology ,Homology (biology) ,Evolution, Molecular ,Species Specificity ,lcsh:Botany ,Gene expression ,microRNA ,Genetic variation ,Base sequence ,Gene ,Genetics ,Base Sequence ,fungi ,Genetic Variation ,food and beverages ,Plants ,Blotting, Northern ,lcsh:QK1-989 ,MicroRNAs ,RNA, Plant ,Plant species ,Genome, Plant ,Research Article - Abstract
Background MicroRNAs (miRNAs) are recently discovered small non-coding RNAs that play pivotal roles in gene expression, specifically at the post-transcriptional level in plants and animals. Identification of miRNAs in large number of diverse plant species is important to understand the evolution of miRNAs and miRNA-targeted gene regulations. Now-a-days, publicly available databases play a central role in the in-silico biology. Because, at least ~21 miRNA families are conserved in higher plants, a homology based search using these databases can help identify orthologs or paralogs in plants. Results We searched all publicly available nucleotide databases of genome survey sequences (GSS), high-throughput genomics sequences (HTGS), expressed sequenced tags (ESTs) and nonredundant (NR) nucleotides and identified 682 miRNAs in 155 diverse plant species. We found more than 15 conserved miRNA families in 11 plant species, 10 to14 families in 10 plant species and 5 to 9 families in 29 plant species. Nineteen conserved miRNA families were identified in important model legumes such as Medicago, Lotus and soybean. Five miRNA families – miR319, miR156/157, miR169, miR165/166 and miR394 – were found in 51, 45, 41, 40 and 40 diverse plant species, respectively. miR403 homologs were found in 16 dicots, whereas miR437 and miR444 homologs, as well as the miR396d/e variant of the miR396 family, were found only in monocots, thus providing large-scale authenticity for the dicot- and monocot-specific miRNAs. Furthermore, we provide computational and/or experimental evidence for the conservation of 6 newly found Arabidopsis miRNA homologs (miR158, miR391, miR824, miR825, miR827 and miR840) and 2 small RNAs (small-85 and small-87) in Brassica spp. Conclusion Using all publicly available nucleotide databases, 682 miRNAs were identified in 155 diverse plant species. By combining the expression analysis with the computational approach, we found that 6 miRNAs and 2 small RNAs that have been identified only in Arabidopsis thus far, are also conserved in Brassica spp. These findings will be useful for tracing the evolution of small RNAs by examining their expression in common ancestors of the Arabidopsis-Brassica lineage.
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- 2008
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17. Cloning and characterization of microRNAs from wheat (Triticum aestivum L.)
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Ramanjulu Sunkar, Qixin Sun, Ganggang Guo, Yingyin Yao, Jinkun Du, Zhongfu Ni, and Jian-Kang Zhu
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Regulation of gene expression ,Genetics ,Whole genome sequencing ,Small RNA ,biology ,Research ,Gene Expression Profiling ,food and beverages ,biology.organism_classification ,Genome ,DNA sequencing ,Gene expression profiling ,MicroRNAs ,Gene Expression Regulation, Plant ,RNA, Plant ,Arabidopsis ,microRNA ,Cloning, Molecular ,Triticum - Abstract
A small RNA library was used to identify 58 miRNAs from 43 miRNA families from wheat (Triticum aestivum L.), and 46 potential targets were predicted., Background MicroRNAs (miRNAs) are a class of small, non-coding regulatory RNAs that regulate gene expression by guiding target mRNA cleavage or translational inhibition. So far, identification of miRNAs has been limited to a few model plant species, such as Arabidopsis, rice and Populus, whose genomes have been sequenced. Wheat is one of the most important cereal crops worldwide. To date, only a few conserved miRNAs have been predicted in wheat and the computational identification of wheat miRNAs requires the genome sequence, which is unknown. Results To identify novel as well as conserved miRNAs in wheat (Triticum aestivum L.), we constructed a small RNA library. High throughput sequencing of the library and subsequent analysis revealed the identification of 58 miRNAs, comprising 43 miRNA families. Of these, 35 miRNAs belong to 20 conserved miRNA families. The remaining 23 miRNAs are novel and form 23 miRNA families in wheat; more importantly, 4 of these new miRNAs (miR506, miR510, miR514 and miR516) appear to be monocot-specific. Northern blot analysis indicated that some of the new miRNAs are preferentially expressed in certain tissues. Based on sequence homology, we predicted 46 potential targets. Thus, we have identified a large number of monocot-specific and wheat-specific miRNAs. These results indicate that both conserved and wheat-specific miRNAs play important roles in wheat growth and development, stress responses and other physiological processes. Conclusion This study led to the discovery of 58 wheat miRNAs comprising 43 miRNA families; 20 of these families are conserved and 23 are novel in wheat. It provides a first large scale cloning and characterization of wheat miRNAs and their predicted targets.
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- 2007
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