Kalpana Singh
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Kalpana Singh has a total of 131 co-authors. Here are the top co-authors by number of shared publications:
- Pushpendra Kumar Gupta
Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India
8 shared publications Tinku Gautam
Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India
8 shared publicationsDinesh Kumar
Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistical Research Institute, PUSA, Delhi, India
6 shared publicationsGautam Saripalli
Department of Genetics and Plant Breeding, Chaudhary Charan Singh University, Meerut, India
6 shared publicationsHarindra Singh Balyan
6 shared publicationsRitu Batra
Department of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India
6 shared publications
Latest Publications
- Open Access
Comprehensive Evolutionary and Structural Analysis of the H5N1 Clade 2.4.3.4b Influenza a Virus Based on the Sequences and Data Mining of the Hemagglutinin, Nucleoprotein and Neuraminidase Genes Across Multiple Hosts
H5N1 Influenza A virus continues to pose a significant zoonotic threat, with increasing evidence of interspecies transmission and genetic adaptation. Previous studies primarily focused on avian or human isolates, with limited comprehensive analysis of H5N1 evolution across multiple mammalian hosts. Existing molecular surveillance often lags behind viral evolution; this study underscores the necessity for real-time monitoring of ongoing mutations affecting pathogenicity and transmissibility. Our goals are (1) to retrieve and analyze HA, NP and NA gene sequences of H5N1 Influenza A virus from diverse hosts, including humans, poultry and multiple mammalian species, to assess genetic diversity and evolutionary patterns and (2) to evaluate positive selection sites across the three major genes (HA, NP and NA) to determine adaptive mutations linked to host adaptation and viral survival. To achieve these goals, in this study, we considered (78 HA), (62 NP) and (61 NA) gene sequences from diverse hosts, including humans, poultry and multiple mammalian species, retrieved from the NCBI database. Phylogenetic analysis revealed distinct clade formations, indicating regional spread and cross-species transmission events, particularly from avian sources to mammals and humans. Selection pressure analysis identified positive selection across all three genes, suggesting adaptive mutations contributing to host adaptation and viral survival. Homology modeling and molecular dynamics simulations were performed to generate high-quality structural models of HA, NP and NA proteins, which were subsequently validated using multiple stereochemical parameters. Domain analysis confirmed conserved functional motifs, while protein–ligand docking demonstrated stable interactions at conserved binding sites, despite observed residue substitutions in recent isolates. Earlier research concentrated on HA alone; this study integrates HA, NP and NA genes for a broader understanding of viral evolution and adaptation. These findings highlight ongoing evolutionary changes in H5N1 genes that may enhance viral adaptability and pathogenicity, underscoring the need for continuous molecular surveillance and updated antiviral strategies.
Open AccessComprehensive Evolutionary and Structural Analysis of the H5N1 Clade 2.4.3.4b Influenza a Virus Based on the Sequences and Data Mining of the Hemagglutinin, Nucleoprotein and Neuraminidase Genes Across Multiple Hosts
H5N1 Influenza A virus continues to pose a significant zoonotic threat, with increasing evidence of interspecies transmission and genetic adaptation. Previous studies primarily focused on avian or human isolates, with limited comprehensive analysis of H5N1 evolution across multiple mammalian hosts. Existing molecular surveillance often lags behind viral evolution; this study underscores the necessity for real-time monitoring of ongoing mutations affecting pathogenicity and transmissibility. Our goals are (1) to retrieve and analyze HA, NP and NA gene sequences of H5N1 Influenza A virus from diverse hosts, including humans, poultry and multiple mammalian species, to assess genetic diversity and evolutionary patterns and (2) to evaluate positive selection sites across the three major genes (HA, NP and NA) to determine adaptive mutations linked to host adaptation and viral survival. To achieve these goals, in this study, we considered (78 HA), (62 NP) and (61 NA) gene sequences from diverse hosts, including humans, poultry and multiple mammalian species, retrieved from the NCBI database. Phylogenetic analysis revealed distinct clade formations, indicating regional spread and cross-species transmission events, particularly from avian sources to mammals and humans. Selection pressure analysis identified positive selection across all three genes, suggesting adaptive mutations contributing to host adaptation and viral survival. Homology modeling and molecular dynamics simulations were performed to generate high-quality structural models of HA, NP and NA proteins, which were subsequently validated using multiple stereochemical parameters. Domain analysis confirmed conserved functional motifs, while protein–ligand docking demonstrated stable interactions at conserved binding sites, despite observed residue substitutions in recent isolates. Earlier research concentrated on HA alone; this study integrates HA, NP and NA genes for a broader understanding of viral evolution and adaptation. These findings highlight ongoing evolutionary changes in H5N1 genes that may enhance viral adaptability and pathogenicity, underscoring the need for continuous molecular surveillance and updated antiviral strategies.
- 28 March 2025
- Published by Springer Nature in International Journal of Data Science and Analytics
- Vol. 20 (5) , 4865-4878
Genome-wide identification of plant-based natural antimicrobial peptides using deep learning approach in black pepper
- 28 March 2025
- Published by Springer Nature in International Journal of Data Science and Analytics
- Vol. 20 (5) , 4865-4878
Genome-wide identification of plant-based natural antimicrobial peptides using deep learning approach in black pepper
- 28 February 2025
- Published by Elsevier
- p. 53-63
Microbial mosaics: understanding ecosystems through short read metagenomics
- 28 February 2025
- Published by Elsevier
- p. 53-63
Microbial mosaics: understanding ecosystems through short read metagenomics
- 28 February 2025
- Published by Elsevier
- p. 163-177
Decoding the blueprint: an overview of genome sequencing, assembly, and annotation
- 28 February 2025
- Published by Elsevier
- p. 163-177
Decoding the blueprint: an overview of genome sequencing, assembly, and annotation
- 19 July 2024
- Published by Wiley
- p. 351-390
Bioinformatics for Analyzing the Role of Epigenetics in Plant Disease Resistance
- 19 July 2024
- Published by Wiley
- p. 351-390
Bioinformatics for Analyzing the Role of Epigenetics in Plant Disease Resistance
- Open Access
- 16 July 2024
- Published by Springer Nature in BMC Plant Biology
- Vol. 24 (1) , 1-14
Genome and transcriptome based comparative analysis of Tilletia indica to decipher the causal genes for pathogenicity of Karnal bunt in wheat
Tilletia indica Mitra causes Karnal bunt (KB) in wheat by pathogenic dikaryophase. The present study is the first to provide the draft genomes of the dikaryon (PSWKBGD-3) and its two monosporidial lines (PSWKBGH-1 and 2) using Illumina and PacBio reads, their annotation and the comparative analyses among the three genomes by extracting polymorphic SSR markers. The trancriptome from infected wheat grains of the susceptible wheat cultivar WL711 at 24 h, 48h, and 7d after inoculation of PSWKBGH-1, 2 and PSWKBGD-3 were also isolated. Further, two transcriptome analyses were performed utilizing T. indica transcriptome to extract dikaryon genes responsible for pathogenesis, and wheat transcriptome to extract wheat genes affected by dikaryon involved in plant-pathogen interaction during progression of KB in wheat. A total of 54, 529, and 87 genes at 24hai, 48hai, and 7dai, respectively were upregulated in dikaryon stage while 21, 35, and 134 genes of T. indica at 24hai, 48hai, and 7dai, respectively, were activated only in dikaryon stage. While, a total of 23, 17, and 52 wheat genes at 24hai, 48hai, and 7dai, respectively were upregulated due to the presence of dikaryon stage only. The results obtained during this study have been compiled in a web resource called TiGeR (http://backlin.cabgrid.res.in/tiger/), which is the first genomic resource for T. indica cataloguing genes, genomic and polymorphic SSRs of the three T. indica lines, wheat and T. indica DEGs as well as wheat genes affected by T. indica dikaryon along with the pathogenecity related proteins of T. indica dikaryon during incidence of KB at different time points. The present study would be helpful to understand the role of dikaryon in plant-pathogen interaction during progression of KB, which would be helpful to manage KB in wheat, and to develop KB-resistant wheat varieties.
- 16 July 2024
- Published by Springer Nature in BMC Plant Biology
- Vol. 24 (1) , 1-14
Open AccessGenome and transcriptome based comparative analysis of Tilletia indica to decipher the causal genes for pathogenicity of Karnal bunt in wheat
Tilletia indica Mitra causes Karnal bunt (KB) in wheat by pathogenic dikaryophase. The present study is the first to provide the draft genomes of the dikaryon (PSWKBGD-3) and its two monosporidial lines (PSWKBGH-1 and 2) using Illumina and PacBio reads, their annotation and the comparative analyses among the three genomes by extracting polymorphic SSR markers. The trancriptome from infected wheat grains of the susceptible wheat cultivar WL711 at 24 h, 48h, and 7d after inoculation of PSWKBGH-1, 2 and PSWKBGD-3 were also isolated. Further, two transcriptome analyses were performed utilizing T. indica transcriptome to extract dikaryon genes responsible for pathogenesis, and wheat transcriptome to extract wheat genes affected by dikaryon involved in plant-pathogen interaction during progression of KB in wheat. A total of 54, 529, and 87 genes at 24hai, 48hai, and 7dai, respectively were upregulated in dikaryon stage while 21, 35, and 134 genes of T. indica at 24hai, 48hai, and 7dai, respectively, were activated only in dikaryon stage. While, a total of 23, 17, and 52 wheat genes at 24hai, 48hai, and 7dai, respectively were upregulated due to the presence of dikaryon stage only. The results obtained during this study have been compiled in a web resource called TiGeR (http://backlin.cabgrid.res.in/tiger/), which is the first genomic resource for T. indica cataloguing genes, genomic and polymorphic SSRs of the three T. indica lines, wheat and T. indica DEGs as well as wheat genes affected by T. indica dikaryon along with the pathogenecity related proteins of T. indica dikaryon during incidence of KB at different time points. The present study would be helpful to understand the role of dikaryon in plant-pathogen interaction during progression of KB, which would be helpful to manage KB in wheat, and to develop KB-resistant wheat varieties.
- 25 June 2024
- Published by Springer Nature in Indian Journal of Microbiology
- Vol. 65 (3) , 1757-1769
Exploring In-Silico Immunoepitope Landscape and Genetic Diversity in p72 and CD2v Proteins Across Asian African Swine Fever Virus Isolates
African swine fever (ASF) is a highly lethal infectious disease affecting pigs caused by the African swine fever virus (ASFV). The p72 is the major capsid protein and has strong immunogenicity. Another, outer envelope protein, CD2-like (CD2v), plays a pivotal role in viral pathogenesis. Despite the grave threat posed by ASFV, efficient vaccines and diagnostic assays remain elusive. In this study, genetic diversity of p72 and CD2v at protein and gene levels was analysed in-silico among most of the isolates of ASFV across Asia, including India, by assessing sequence similarity, phylogeny, and selection pressure. Further, in-silico prediction of immunogenic epitopes was done within stabilized (by MD-simulation) predicted structures of p72 and CD2v proteins by assessing variability in terms of Shannon entropy, relative solvent accessibility, and prediction of B and T-cell epitope peptides. The present study highlights the conservation of both p72 and CD2v proteins across prevalent ASFV isolates in Asia, including India, and suggests for their potential utility in developing diagnostic assays, as both can induce robust immunogenic responses. Consequently, these proteins emerge as promising vaccine candidates against ASFV.
- 25 June 2024
- Published by Springer Nature in Indian Journal of Microbiology
- Vol. 65 (3) , 1757-1769
Exploring In-Silico Immunoepitope Landscape and Genetic Diversity in p72 and CD2v Proteins Across Asian African Swine Fever Virus Isolates
African swine fever (ASF) is a highly lethal infectious disease affecting pigs caused by the African swine fever virus (ASFV). The p72 is the major capsid protein and has strong immunogenicity. Another, outer envelope protein, CD2-like (CD2v), plays a pivotal role in viral pathogenesis. Despite the grave threat posed by ASFV, efficient vaccines and diagnostic assays remain elusive. In this study, genetic diversity of p72 and CD2v at protein and gene levels was analysed in-silico among most of the isolates of ASFV across Asia, including India, by assessing sequence similarity, phylogeny, and selection pressure. Further, in-silico prediction of immunogenic epitopes was done within stabilized (by MD-simulation) predicted structures of p72 and CD2v proteins by assessing variability in terms of Shannon entropy, relative solvent accessibility, and prediction of B and T-cell epitope peptides. The present study highlights the conservation of both p72 and CD2v proteins across prevalent ASFV isolates in Asia, including India, and suggests for their potential utility in developing diagnostic assays, as both can induce robust immunogenic responses. Consequently, these proteins emerge as promising vaccine candidates against ASFV.
- Open Access
- 15 April 2024
- Published by Elsevier in Current Research in Structural Biology
- Vol. 7, 100144
ANN based prediction of ligand binding sites outside deep cavities to facilitate drug designing
- 15 April 2024
- Published by Elsevier in Current Research in Structural Biology
- Vol. 7, 100144
Open AccessANN based prediction of ligand binding sites outside deep cavities to facilitate drug designing
- Open Access
- 24 January 2024
- Published by Frontiers Media SA in Frontiers in Plant Science
- Vol. 14, 1258042
High-quality Momordica balsamina genome elucidates its potential use in improving stress resilience and therapeutic properties of bitter gourd
Introduction: Momordica balsamina is the closest wild species that can be crossed with an important fruit vegetable crop, Momordica charantia, has immense medicinal value, and placed under II subclass of primary gene pool of bitter gourd. M. balsamina is tolerant to major biotic and abiotic stresses. Genome characterization of Momordica balsamina as a wild relative of bitter gourd will contribute to the knowledge of the gene pool available for improvement in bitter gourd. There is potential to transfer gene/s related to biotic resistance and medicinal importance from M. balsamina to M. charantia to produce high-quality, better yielding and stress tolerant bitter gourd genotypes.Methods: The present study provides the first and high-quality chromosome-level genome assembly of M. balsamina with size 384.90 Mb and N50 30.96 Mb using sequence data from 10x Genomics, Nanopore, and Hi-C platforms.Results: A total of 6,32,098 transposons elements; 2,15,379 simple sequence repeats; 5,67,483 transcription factor binding sites; 3,376 noncoding RNA genes; and 41,652 protein-coding genes were identified, and 4,347 disease resistance, 67 heat stress–related, 05 carotenoid-related, 15 salt stress–related, 229 cucurbitacin-related, 19 terpenes-related, 37 antioxidant activity, and 06 sex determination–related genes were characterized.Conclusion: Genome sequencing of M. balsamina will facilitate interspecific introgression of desirable traits. This information is cataloged in the form of webgenomic resource available at http://webtom.cabgrid.res.in/mbger/. Our finding of comparative genome analysis will be useful to get insights into the patterns and processes associated with genome evolution and to uncover functional regions of cucurbit genomes.
- 24 January 2024
- Published by Frontiers Media SA in Frontiers in Plant Science
- Vol. 14, 1258042
Open AccessHigh-quality Momordica balsamina genome elucidates its potential use in improving stress resilience and therapeutic properties of bitter gourd
Introduction: Momordica balsamina is the closest wild species that can be crossed with an important fruit vegetable crop, Momordica charantia, has immense medicinal value, and placed under II subclass of primary gene pool of bitter gourd. M. balsamina is tolerant to major biotic and abiotic stresses. Genome characterization of Momordica balsamina as a wild relative of bitter gourd will contribute to the knowledge of the gene pool available for improvement in bitter gourd. There is potential to transfer gene/s related to biotic resistance and medicinal importance from M. balsamina to M. charantia to produce high-quality, better yielding and stress tolerant bitter gourd genotypes.Methods: The present study provides the first and high-quality chromosome-level genome assembly of M. balsamina with size 384.90 Mb and N50 30.96 Mb using sequence data from 10x Genomics, Nanopore, and Hi-C platforms.Results: A total of 6,32,098 transposons elements; 2,15,379 simple sequence repeats; 5,67,483 transcription factor binding sites; 3,376 noncoding RNA genes; and 41,652 protein-coding genes were identified, and 4,347 disease resistance, 67 heat stress–related, 05 carotenoid-related, 15 salt stress–related, 229 cucurbitacin-related, 19 terpenes-related, 37 antioxidant activity, and 06 sex determination–related genes were characterized.Conclusion: Genome sequencing of M. balsamina will facilitate interspecific introgression of desirable traits. This information is cataloged in the form of webgenomic resource available at http://webtom.cabgrid.res.in/mbger/. Our finding of comparative genome analysis will be useful to get insights into the patterns and processes associated with genome evolution and to uncover functional regions of cucurbit genomes.
- 23 September 2023
- Published by Springer Nature
- p. 351-376
Computational Genomics Approaches for Livestock Improvement and Management
- 23 September 2023
- Published by Springer Nature
- p. 351-376
Computational Genomics Approaches for Livestock Improvement and Management