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Dive into the research topics where Dwijesh Chandra Mishra is active.

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Featured researches published by Dwijesh Chandra Mishra.


Gene | 2015

Synergistic regulatory networks mediated by microRNAs and transcription factors under drought, heat and salt stresses in Oryza Sativa spp.

Deepti Nigam; Sanjeev Kumar; Dwijesh Chandra Mishra; Anil Rai; Shuchi Smita; Arijit Saha

BACKGROUND Transcription factors (TFs) and microRNAs (miRNAs) are primary gene regulators within the cell. Regulatory mechanisms of these two main regulators are of great interest to biologists and may provide insights into the abiotic and biotic stresses. However, the interaction between miRNAs and TFs in a gene regulatory network (GRN) still remains uncovered. Previous research has been mostly directed at inferring either miRNA or TF regulatory networks from data. However, networks involving a single type of regulator may not fully reveal the complex gene regulatory mechanisms, therefore study of interplay among these two regulators in gene regulation is important towards explaining the mechanism of different abiotic stresses. RESULT Oligonucleotide microarrays containing 51,279 transcripts were used to identify total 133 salt responsive target genes regulated by 11 TFs that are also differentially regulated by miRNA under salinity, heat and drought stresses in Oryza sativa. TFs-target interactions which are most enriched in their downstream regulation were also identified. Many genes whose encoded proteins are implicated in response to light and radiation stimulus, hormone stimuli, oxidative stress, copper ion binding and electron transport were found to be enriched. However the majority were novel for the combined abiotic stress, which indicates that there are a great number of genes induced after the exposure these abiotic stresses and regulated by miRNA. CONCLUSION Analysis of the expression profile data of Oryza provides clues regarding some putative cellular and molecular processes that are undertaken in response to these stresses. The study also identified a large number of candidate functional genes that appear to be constitutively involved in salt, drought and heat stresses tolerance. Further examination of these genes may enable the molecular basis of abiotic stress tolerance in Oryza, to be elucidated.


Frontiers in Plant Science | 2016

Identification of Putative RuBisCo Activase (TaRca1)—The Catalytic Chaperone Regulating Carbon Assimilatory Pathway in Wheat (Triticum aestivum) under the Heat Stress

Ranjeet R. Kumar; Suneha Goswami; Khushboo Singh; Kavita Dubey; Shweta Singh; Renu Sharma; Neeraj Verma; Yugal K. Kala; Gyanendra K. Rai; Monendra Grover; Dwijesh Chandra Mishra; Bhupinder Singh; H. Pathak; Viswanathan Chinnusamy; Anil Rai; Shelly Praveen

RuBisCo activase (Rca) is a catalytic chaperone involved in modulating the activity of RuBisCo (key enzyme of photosynthetic pathway). Here, we identified eight novel transcripts from wheat through data mining predicted to be Rca and cloned a transcript of 1.4 kb from cv. HD2985, named as TaRca1 (GenBank acc. no. KC776912). Single copy number of TaRca1 was observed in wheat genome. Expression analysis in diverse wheat genotypes (HD2985, Halna, PBW621, and HD2329) showed very high relative expression of TaRca1 in Halna under control and HS-treated, as compared to other cultivars at different stages of growth. TaRca1 protein was predicted to be chloroplast-localized with numerous potential phosphorylation sites. Northern blot analysis showed maximum accumulation of TaRca1 transcript in thermotolerant cv. during mealy-ripe stage, as compared to thermosusceptible. Decrease in the photosynthetic parameters was observed in all the cultivars, except PBW621 in response to HS. We observed significant increase in the Rca activity in all the cultivars under HS at different stages of growth. HS causes decrease in the RuBisCo activity; maximum reduction was observed during pollination stage in thermosusceptible cvs. as validated through immunoblotting. We observed uniform carbon distribution in different tissues of thermotolerant cvs., as compared to thermosusceptible. Similarly, tolerance level of leaf was observed maximum in Halna having high Rca activity under HS. A positive correlation was observed between the transcript and activity of TaRca1 in HS-treated Halna. Similarly, TaRca1 enzyme showed positive correlation with the activity of RuBisCo. There is, however, need to manipulate the thermal stability of TaRca1 enzyme through protein engineering for sustaining the photosynthetic rate under HS—a novel approach toward development of “climate-smart” crop.


Genomics data | 2015

Computational analysis of miRNA-target community network reveals cross talk among different metabolisms

Deepti Nigam; Puneet Kumar Kadimi; Sanjeev Kumar; Dwijesh Chandra Mishra; Anil Rai

To date, only a few conserved miRNAs have been predicted in hexaploid (AABBDD) bread wheat and till now community behavior among miRNA is still in dark. Analysis of publically available 1287279 ESTs from NCBI resulted 262 putative pre-miRNAs and 39 novel mature miRNAs. A total 22,468 targets were identified on 21 chromosomes. MiRNA target community was identified for genomes with different levels of cross talks. Gene ontology of these community targets suggests their differential involvement in different metabolisms along with common and stringent involvement in nitrogen metabolism.


Bioinformation | 2012

Trends in the codon usage patterns of Chromohalobacter salexigens genes.

Rajkumari Sanjukta; Mohammad Samir Farooqi; Naveen Sharma; Anil Rai; Dwijesh Chandra Mishra; Dhananjaya P. Singh

Chromohalobacter salexigens, a Gammaproteobacterium belonging to the family Halomonadaceae, shows a broad salinity range for growth. In order to reveal the factors influencing architecture of protein coding genes in C. salexigens, pattern of synonymous codon usage bias has been investigated. Overall codon usage analysis of the microorganism revealed that C and G ending codons are predominantly used in all the genes which are indicative of mutational bias. Multivariate statistical analysis showed that the genes are separated along the first major explanatory axis according to their expression levels and their genomic GC content at the synonymous third positions of the codons. Both NC plot and correspondence analysis on Relative Synonymous Codon Usage (RSCU) indicates that the variation in codon usage among the genes may be due to mutational bias at the DNA level and natural selection acting at the level of mRNA translation. Gene length and the hydrophobicity of the encoded protein also influence the codon usage variation of genes to some extent. A comparison of the relative synonymous codon usage between 10% each of highly and lowly expressed genes determines 23 optimal codons, which are statistically over represented in the former group of genes and may provide useful information for salt-stressed gene prediction and gene-transformation. Furthermore, genes for regulatory functions; mobile and extrachromosomal element functions; and cell envelope are observed to be highly expressed. The study could provide insight into the gene expression response of halophilic bacteria and facilitate establishment of effective strategies to develop salt-tolerant crops of agronomic value.


Frontiers in Plant Science | 2016

SSH Analysis of Endosperm Transcripts and Characterization of Heat Stress Regulated Expressed Sequence Tags in Bread Wheat.

Suneha Goswami; Ranjeet R. Kumar; Kavita Dubey; Jyoti P. Singh; Sachidanand Tiwari; Ashok Kumar; Shuchi Smita; Dwijesh Chandra Mishra; Sanjeev Kumar; Monendra Grover; Jasdeep Chatrath Padaria; Yugal K. Kala; Gyanendra Singh; H. Pathak; Viswanathan Chinnusamy; Anil Rai; Shelly Praveen; Raj D. Rai

Heat stress is one of the major problems in agriculturally important cereal crops, especially wheat. Here, we have constructed a subtracted cDNA library from the endosperm of HS-treated (42°C for 2 h) wheat cv. HD2985 by suppression subtractive hybridization (SSH). We identified ~550 recombinant clones ranging from 200 to 500 bp with an average size of 300 bp. Sangers sequencing was performed with 205 positive clones to generate the differentially expressed sequence tags (ESTs). Most of the ESTs were observed to be localized on the long arm of chromosome 2A and associated with heat stress tolerance and metabolic pathways. Identified ESTs were BLAST search using Ensemble, TriFLD, and TIGR databases and the predicted CDS were translated and aligned with the protein sequences available in pfam and InterProScan 5 databases to predict the differentially expressed proteins (DEPs). We observed eight different types of post-translational modifications (PTMs) in the DEPs corresponds to the cloned ESTs-147 sites with phosphorylation, 21 sites with sumoylation, 237 with palmitoylation, 96 sites with S-nitrosylation, 3066 calpain cleavage sites, and 103 tyrosine nitration sites, predicted to sense the heat stress and regulate the expression of stress genes. Twelve DEPs were observed to have transmembrane helixes (TMH) in their structure, predicted to play the role of sensors of HS. Quantitative Real-Time PCR of randomly selected ESTs showed very high relative expression of HSP17 under HS; up-regulation was observed more in wheat cv. HD2985 (thermotolerant), as compared to HD2329 (thermosusceptible) during grain-filling. The abundance of transcripts was further validated through northern blot analysis. The ESTs and their corresponding DEPs can be used as molecular marker for screening or targeted precision breeding program. PTMs identified in the DEPs can be used to elucidate the thermotolerance mechanism of wheat—a novel step toward the development of “climate-smart” wheat.


Frontiers in Plant Science | 2017

Abiotic Stress Responsive miRNA-Target Network and Related Markers (SNP, SSR) in Brassica juncea

Indra Singh; Shuchi Smita; Dwijesh Chandra Mishra; Sanjeev Kumar; B Singh; Anil Rai

Abiotic stress is one of the major factors responsible for huge yield loss in crop plants. MicroRNAs play a key role in adaptive responses of plants under abiotic stress conditions through post-transcriptional gene regulations. In present study, 95 potential miRNAs were predicted in Brassica juncea using comparative genomics approach. It was noted that these miRNAs, target several transcription factors (TFs), transporter family proteins, signaling related genes, and protease encoding genes. Nineteen distinct miRNA-target regulatory networks were observed with significant involvement in regulation of transcription, response to stimulus, hormone and auxin mediated signaling pathway related gene ontology (GO) term. The sucrose-starch metabolism and pentose-gluconate interconversion pathways were found significantly enriched for these target genes. Molecular markers such as Simple Sequence Repeats (SSR) and Single Nucleotide Polymorphism (SNPs) were identified on miRNAs (miR-SSRs and miR-SNPs) and their target genes in B. juncea. Notably, one of the miR-SNP (C/T) was found at the 5th position on mature region of miR2926. This C/T transition led to the distorted and unstable hairpin structure of miR2926, consequently complete loss of target function. Hence, findings from this study will lay a foundation for marker assisted breeding for abiotic stress tolerant varieties of B. juncea.


Biochemistry & Analytical Biochemistry | 2016

Genome-Wide Relative Analysis of Codon Usage Bias and Codon ContextPattern in the Bacteria Salinibacter Ruber, Chromohalobacter Salexigens andRhizobium Etli

Mohammad Samir Farooqi; Dwijesh Chandra Mishra; Niyati Rai; Dhananjaya P. Singh; Anil Rai; K. K. Chaturvedi; Ratna Prabha; Manjeet Kaur

Codon is the basic unit for biological message transmission during synthesis of proteins in an organism. Codon Usage Bias is preferential usage among synonymous codons, in an organisms. This preferential use of a synonymous codon was found not only among species but also occurs among genes within the same genome of a species. This variation of codon usage patterns are controlled by natural processes such as mutation, drift and pressure. In this study, we have used computational as well as statistical techniques for finding codon usage bias and codon context pattern of Salinibacter ruber (extreme halophilic), Chromohalobacter salexigens (moderate halophilic) and Rhizobium etli (nonhalophilic). In addition to this, compositional variation in translated amino acid frequency, effective number of codons and optimal codons were also studied. A plot of ENc versus GC3s suggests that both mutation bias and translational selection contribute to these differences of codon bias. However, mutation bias is the driving force of the synonymous codon usage patterns in halophilic bacteria (Salinibacter ruber and Chromohalobacter salexigens) and translational selection seems to affect codon usage pattern in non-halophilic bacteria (Rhizobium etli). Correspondence analysis of Relative Synonymous Codon Usage revealed different clusters of genes varying in numbers in the bacteria under study. Moreover, codon context pattern was also seen variable in these bacteria. These results clearly indicate the variation in the codon usage pattern in these bacterial genomes.


Plant Molecular Biology Reporter | 2018

Genome-Wide Analysis in Wild and Cultivated Oryza Species Reveals Abundance of NBS Genes in Progenitors of Cultivated Rice

Hukam C. Rawal; S. V. Amitha Mithra; Kirti Arora; Vishesh Kumar; Neha Goel; Dwijesh Chandra Mishra; K. K. Chaturvedi; Anil Rai; S. Vimala Devi; Tilak Raj Sharma; Amolkumar U. Solanke

NBS-encoding genes play a critical role in the plant defense system. Wild relatives of crop plants are rich reservoirs of plant defense genes. Here, we performed a stringent genome-wide identification of NBS-encoding genes in three cultivated and eight wild Oryza species, representing three different genomes (AA, BB, and FF) from four continents. A total of 2688 NBS-encoding genes were identified from 11 Oryza genomes. All the three progenitor species of cultivated rice, namely O. barthii, O. rufipogon, and O. nivara, were the richest reservoir of NBS-encoding genes (214, 313, and 307 respectively). Interestingly, the two Asian cultivated species showed a contrasting pattern in the number of NBS-encoding genes. While indica subspecies maintained nearly equal number of NBS genes as its progenitor (309 and 313), the japonica subspecies had retained only two third in the course of evolution (213 and 307). Other major sources for NBS-encoding genes could be (i) O. longistaminata since it had the highest proportion of NBS-encoding genes and (ii) O. glumaepatula as it clustered distinctly away from the rest of the AA genome species. The present study thus revealed that NBS-encoding genes can be exploited from the primary gene pool for disease resistance breeding in rice.


Frontiers in Microbiology | 2018

Genetic Diversity Studies Based on Morphological Variability, Pathogenicity and Molecular Phylogeny of the Sclerotinia sclerotiorum Population From Indian Mustard (Brassica juncea)

Pankaj Sharma; Amos Samkumar; Mahesh Rao; Vijay V. Singh; Lakshman Prasad; Dwijesh Chandra Mishra; Ramcharan Bhattacharya; Navin C. Gupta

White mold or stem rot disease are ubiquitously distributed throughout the world and the causal organism of this disease Sclerotinia sclerotiorum (Lib.) de Bary, is known to infect over 400 plant species. Sclerotinia stem rot is one of the most devastating fungal diseases and poses a serious threat to the worldwide cultivation of oilseed Brassica including India. S. sclerotiorum pathogen usually infects the stem but in severe cases leaves and pods also affected at different developmental stages that deteriorate not only the oil quality but also causing the seed and oil yield losses up to 90% depending on the severity of the disease infestation. This study investigated the morphological and molecular characterization of pathogenic S. sclerotiorum (Lib) de Bary geographical isolates from oilseed Brassica including Brassica juncea (Indian mustard). The aim of this study was to compare isolates of S. sclerotiorum originated from different agro-climatic conditions and to analyse similarity or differences between them as well as to examine the virulence of this pathogen specifically in Brassica for the first time. The collection of S. sclerotiorum isolates from symptomatic Brassica plants was done and analyzed for morphological features, and molecular characterization. The virulence evaluation test of 65 isolates on four Brassica cultivars has shown 5 of them were highly virulent, 46 were virulent and 14 were moderately virulent. Phylogenetic analysis encompassing all the morphological features, SSR polymorphism, and ITS sequencing has shown the existence of high genetic diversity among the isolates that categorized all the isolates in three evolutionary lineages in the derived dendrogram. Further, genetic variability analysis based on sequences variation in ITS region of all the isolates has shown the existence of either insertions or deletions of the nucleotides in the ITS region has led to the interspecies variability and observed the variation were in a clade-specific manner. Together this analysis observed the existence of higher heterogeneity and genetic variability in S. sclerotiorum isolates collection and indicates the presence of clonal and sexual progenies of the pathogen in the mustard growing regions of India surveyed in this study. With a higher level of genetic variability and diversity among the S. sclerotiorum population needs robust screening approaches to identify the donor parent and utilize them in resistance breeding program for effectively counter the menace of stem rot disease in Brassica.


Archive | 2017

Strategies and Tools for Sequencing and Assembly of Plant Genomes

Dwijesh Chandra Mishra; Shashi Bhushan Lal; Anu Sharma; Sanjeev Kumar; Neeraj Budhlakoti; Anil Rai

This chapter highlights strategies and tools for sequencing and assembly of plant genomes. It discusses in brief the methods of sequencing technologies (the first, second and third generations), details the approaches of genome assembly (the de novo and reference assembly) and presents the challenges of plant genome assembly.

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Anil Rai

Indian Agricultural Statistics Research Institute

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Sanjeev Kumar

Indian Agricultural Statistics Research Institute

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K. K. Chaturvedi

Indian Agricultural Statistics Research Institute

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Mohammad Samir Farooqi

Indian Agricultural Statistics Research Institute

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Monendra Grover

Indian Agricultural Statistics Research Institute

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Dhananjaya P. Singh

Indian Council of Agricultural Research

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Naveen Sharma

Indian Agricultural Statistics Research Institute

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Shashi Bhushan Lal

Indian Agricultural Statistics Research Institute

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Anu Sharma

Indian Agricultural Statistics Research Institute

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Deepti Nigam

Indian Agricultural Statistics Research Institute

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