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Dive into the research topics where Inderjit Singh Yadav is active.

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Featured researches published by Inderjit Singh Yadav.


Journal of Virological Methods | 2015

Identification of human papillomavirus-16 E6 variation in cervical cancer and their impact on T and B cell epitopes.

Anoop Kumar; Showket Hussain; Inderjit Singh Yadav; Lutz Gissmann; K. Natarajan; Bhudev C. Das; Mausumi Bharadwaj

The infection with high-risk human papillomavirus (HR-HPV) is the most important risk factor for development of cervical cancer. The intra-type variations of HPV have different biological and pathological consequences with respect to disease progression. In the present study, six major Indian variants were experimentally identified in E6 gene of HPV-16 and showed their impact on immunogenicity by in silico methods. Four different phylogenetic lineages were observed in sequences including European (E) prototype, European variant, Asian and American Asian variant classes and complete absence of African phylogenetic lineages. On the prediction of B- and T-cell epitopes, 18 and 23 potent epitopes for MHC-II alleles, 10 potent MHC-I and 15 B-cell epitopes in each reference and variant sequence were identified. Interestingly, the presence of variation H78Y and L83V result in creation of four new epitopes for the HLA-DQA1*0101/DQB1*0501. Out of 15 B-cell predicted epitopes, three most potent epitopes were identified in both reference and variant sequence. Notably the amino acid stretch from amino acid 16-60 and 76-94 are very important for the immunological properties of E6 protein because these regions contain majority of the predicted epitopes. In future, this could control the cervical cancer by targeting these amino acid stretches for the development of HPV-16 vaccine.


Frontiers in Plant Science | 2016

Comparative Temporal Transcriptome Profiling of Wheat near Isogenic Line Carrying Lr57 under Compatible and Incompatible Interactions.

Inderjit Singh Yadav; Amandeep Sharma; Satinder Kaur; Natasha Nahar; Subhash C. Bhardwaj; Tilak Raj Sharma; Parveen Chhuneja

Leaf rust caused by Puccinia triticina (Pt) is one of the most important diseases of bread wheat globally. Recent advances in sequencing technologies have provided opportunities to analyse the complete transcriptomes of the host as well as pathogen for studying differential gene expression during infection. Pathogen induced differential gene expression was characterized in a near isogenic line carrying leaf rust resistance gene Lr57 and susceptible recipient genotype WL711. RNA samples were collected at five different time points 0, 12, 24, 48, and 72 h post inoculation (HPI) with Pt 77-5. A total of 3020 transcripts were differentially expressed with 1458 and 2692 transcripts in WL711 and WL711+Lr57, respectively. The highest number of differentially expressed transcripts was detected at 12 HPI. Functional categorization using Blast2GO classified the genes into biological processes, molecular function and cellular components. WL711+Lr57 showed much higher number of differentially expressed nucleotide binding and leucine rich repeat genes and expressed more protein kinases and pathogenesis related proteins such as chitinases, glucanases and other PR proteins as compared to susceptible genotype. Pathway annotation with KEGG categorized genes into 13 major classes with carbohydrate metabolism being the most prominent followed by amino acid, secondary metabolites, and nucleotide metabolism. Gene co-expression network analysis identified four and eight clusters of highly correlated genes in WL711 and WL711+Lr57, respectively. Comparative analysis of the differentially expressed transcripts led to the identification of some transcripts which were specifically expressed only in WL711+Lr57. It was apparent from the whole transcriptome sequencing that the resistance gene Lr57 directed the expression of different genes involved in building the resistance response in the host to combat invading pathogen. The RNAseq data and differentially expressed transcripts identified in present study is a genomic resource which can be used for further studying the host pathogen interaction for Lr57 and wheat transcriptome in general.


PLOS ONE | 2017

Red rot resistant transgenic sugarcane developed through expression of β-1,3-glucanase gene

Shivani Nayyar; Bipen Kumar Sharma; Ajinder Kaur; Anu Kalia; Gulzar Singh Sanghera; Karanjit Singh Thind; Inderjit Singh Yadav; Jagdeep Singh Sandhu; T. R. Ganapathi

Sugarcane (Saccharum spp.) is a commercially important crop, vulnerable to fungal disease red rot caused by Colletotrichum falcatum Went. The pathogen attacks sucrose accumulating parenchyma cells of cane stalk leading to severe losses in cane yield and sugar recovery. We report development of red rot resistant transgenic sugarcane through expression of β-1,3-glucanase gene from Trichoderma spp. The transgene integration and its expression were confirmed by quantitative reverse transcription-PCR in first clonal generation raised from T0 plants revealing up to 4.4-fold higher expression, in comparison to non-transgenic sugarcane. Bioassay of transgenic plants with two virulent C. falcatum pathotypes, Cf 08 and Cf 09 causing red rot disease demonstrated that some plants were resistant to Cf 08 and moderately resistant to Cf 09. The electron micrographs of sucrose storing stalk parenchyma cells from these plants displayed characteristic sucrose-filled cells inhibiting Cf 08 hyphae and lysis of Cf 09 hyphae; in contrast, the cells of susceptible plants were sucrose depleted and prone to both the pathotypes. The transgene expression was up-regulated (up to 2.0-fold in leaves and 5.0-fold in roots) after infection, as compared to before infection in resistant plants. The transgene was successfully transmitted to second clonal generation raised from resistant transgenic plants. β-1,3-glucanase protein structural model revealed that active sites Glutamate 628 and Aspartate 569 of the catalytic domain acted as proton donor and nucleophile having role in cleaving β-1,3-glycosidic bonds and pathogen hyphal lysis.


Archive | 2017

Control of Fungal Diseases in Agricultural Crops by Chitinase and Glucanase Transgenes

Jagdeep Singh Sandhu; Manpreet K. Sidhu; Inderjit Singh Yadav

In agriculture, pathogens cause fungal diseases leading to loss in crop yield and quality. These diseases have been controlled by chemical fungicides. But their effects are often non-specific, targeting beneficial organisms as well as pathogens. The actual crop cultivars have disease responses and in-built genetic resistance against diseases for their defense against fungal pathogens. For instance, chitinases and β-glucanases have been proposed to have a role in fungal cell wall lysis by targeting key macromolecular components of the cell walls, i.e. chitin and β-glucan microfibrils. Chitin does not occur in plants, whereas in many plant-pathogenic fungi chitin comprises of 22–44 % cell wall material and maintains the structural integrity of hyphae. The glucans are structural polymers for maintaining rigidity and conferring protection.


Frontiers in Plant Science | 2017

Novel Alleles of Phosphorus-Starvation Tolerance 1 Gene (PSTOL1) from Oryza rufipogon Confers High Phosphorus Uptake Efficiency

Kumari Neelam; Shiwali Thakur; Neha; Inderjit Singh Yadav; Kishor Kumar; S.S. Dhaliwal; Kuldeep Singh

Limited phosphorus availability in the soil is one of the major constraints to the growth and productivity of rice across Asian, African and South American countries, where 50% of the rice is grown under rain-fed systems on poor and problematic soils. With an aim to determine novel alleles for enhanced phosphorus uptake efficiency in wild species germplasm of rice Oryza rufipogon, we investigated phosphorus uptake1 (Pup1) locus with 11 previously reported SSR markers and sequence characterized the phosphorus-starvation tolerance 1 (PSTOL1) gene. In the present study, we screened 182 accessions of O. rufipogon along with Vandana as a positive control with SSR markers. From the analysis, it was inferred that all of the O. rufipogon accessions undertaken in this study had an insertion of 90 kb region, including Pup1-K46, a diagnostic marker for PSTOL1, however, it was absent among O. sativa cv. PR114, PR121, and PR122. The complete PSTOL1 gene was also sequenced in 67 representative accessions of O. rufipogon and Vandana as a positive control. From comparative sequence analysis, 53 mutations (52 SNPs and 1 nonsense mutation) were found in the PSTOL1 coding region, of which 28 were missense mutations and 10 corresponded to changes in the amino acid polarity. These 53 mutations correspond to 17 haplotypes, of these 6 were shared and 11 were scored only once. A major shared haplotype was observed among 44 accessions of O. rufipogon along with Vandana and Kasalath. Out of 17 haplotypes, accessions representing 8 haplotypes were grown under the phosphorus-deficient conditions in hydroponics for 60 days. Significant differences were observed in the root length and weight among all the genotypes when grown under phosphorus deficiency conditions as compared to the phosphorus sufficient conditions. The O. rufipogon accession IRGC 106506 from Laos performed significantly better, with 2.5 times higher root weight and phosphorus content as compared to the positive control Vandana. In terms of phosphorus uptake efficiency, the O. rufipogon accessions IRGC 104639, 104712, and 105569 also showed nearly two times higher phosphorus content than Vandana. Thus, these O. rufipogon accessions could be used as the potential donor for improving phosphorus uptake efficiency of elite rice cultivars.


bioRxiv | 2018

Physical and transcriptional organisation of the bread wheat intracellular immune receptor repertoire

Burkhard Steuernagel; Kamil Witek; Simon G. Krattinger; Ricardo H. Ramirez-Gonzalez; Henk-jan Schoonbeek; Guotai Yu; Erin Baggs; Agnieszka I Witek; Inderjit Singh Yadav; Ksenia V Krasileva; Jonathan D. G. Jones; Cristobal Uauy; Beat Keller; Christopher J. Ridout; Brande B. H. Wulff

Disease resistance genes encoding intracellular immune receptors of the nucleotide-binding and leucine-rich repeat (NLR) class of proteins detect pathogens by the presence of pathogen effectors. Plant genomes typically contain hundreds of NLR encoding genes. The availability of the hexaploid wheat cultivar Chinese Spring reference genome now allows a detailed study of its NLR complement. However, low NLR expression as well as high intra-family sequence homology hinders their accurate gene annotation. Here we developed NLR-Annotator for in silico NLR identification independent of transcript support. Although developed for wheat, we demonstrate the universal applicability of NLR-Annotator across diverse plant taxa. Applying our tool to wheat and combining it with a transcript-validated subset of genes from the reference gene annotation, we characterized the structure, phylogeny and expression profile of the NLR gene family. We detected 3,400 full-length NLR loci of which 1,540 were confirmed as complete genes. NLRs with integrated domains mostly group in specific sub-clades. Members of another subclade predominantly locate in close physical proximity to NLRs carrying integrated domains suggesting a paired helper-function. Most NLRs (88%) display low basal expression (in the lower 10 percentile of transcripts), which may be tissue-specific and/or induced by biotic stress. As a case study for applying our tool to the positional cloning of resistance genes, we estimated the number of NLR genes within the intervals of mapped rust resistance genes. Our study will support the identification of functional resistance genes in wheat to accelerate the breeding and engineering of disease resistant varieties.


Journal of clinical and experimental hepatology | 2018

Structural and epitope analysis (T- and B-cell epitopes) of Hepatitis C Virus (HCV) glycoproteins: an in-silico approach

Anoop Kumar; Roma Pandey; Inderjit Singh Yadav; Mausumi Bharadwaj

Background Chronic infection with Hepatitis C Virus (HCV) poses a major risk for liver disease like cirrhosis, liver failure and hepatocellular carcinoma. In terms of percentage, the prevalence of HCV in India was found to be low to moderate (1-1.5%), but in terms of sheer numbers, India has a significant number of global HCV patients. Presently, HCV can be treated with direct acting-antibody drugs but there is no prophylactic or therapeutic vaccine available against it. In HCV infection, T- and B-cell immunity is important for clearing the virus. In the present study immunoinformatics was used to identify potent vaccine target for HCV vaccine development. Methods Sequence of HCV was retrieved from NCBI and their structural analysis was done by using Protpram, PSIPRED, iTASSER and PDBsum servers. T-cell and B-cell epitopes were predicted by Immune Epitope Database and ACBPRED servers. Results On epitope prediction, 25 and 55 potent MHC-I epitopes and 7 and 13 potent B-cell epitopes were predicted for E1 and E2 protein respectively. Their antigenicity score was also calculated. The most potent MHC-I epitopes were MMMNWSPAV and MAWDMMMNW for HLA-A*02:01 and HLA-B*53:01 and most potent B-cell epitope was TGHRMAWDMMMNWSPA for E1 protein. For E2, four MHC-I epitopes having the lowest binding energy and most potent B-cell epitope was DRPYCWHYAPRPCDTI. Conclusion In the present study, most potent epitopes for HCV was determined on the basis of their antigenicity along with 3D modeling and docking. Identified B- and T-cell epitopes can be used for the development of potent vaccine against most prevalent HCV type in India to limit its infection.


Food Technology and Biotechnology | 2018

Cloning and Characterization of Limonoid Glucosyltransferase from Kinnow Mandarin (Citrus reticulata Blanco)

Sumedha Arora; Prashant Mohanpuria; Gurupkar Singh Sidhu; Inderjit Singh Yadav; Vandna Kumari

Kinnow mandarin (Citrus reticulata Blanco) is a popular citrus crop of northwestern India and it occupies maximum fruit area in Punjab. However, citrus juice processing industry is still suffering from delayed bitterness problem caused mainly by limonoid aglycones such as limonin. In order to study citrus limonoid metabolism, limonoid glucosyltransferase (LGT) gene, which encodes a natural debittering enzyme, was isolated from the fruit tissues of Kinnow mandarin. After confirmation and characterization, its full-length gene sequence (1533 bp) was submitted to National Centre for Biotechnology Information. Citrus reticulata limonoid glucosyltransferase (CrLGT) occupies a position on an independent branch in the largest subgroup and is phylogenetically different from those in other mandarin species like C. unshiu, showing its uniqueness in several features. The transcript expression of CrLGT, evaluated in different tissues such as young leaf, flavedo, albedo, sac covering and seed of Kinnow mandarin during early (90 days after flowering (DAF)), mid (150-210 DAF) and late (240 DAF) fruit developmental stages using semi-quantitative method, showed the highest expression in flavedo. Thus, it was concluded that the isolated LGT gene has an effect on limonoid metabolic engineering in citrus. Overexpression of this gene can reduce the delayed bitterness problem in citrus juice and enhance the accumulation of specific glucosides that have anticancer effects.


Biologicals | 2015

Identification of immunotherapeutic epitope of E5 protein of human papillomavirus-16: An in silico approach.

Anoop Kumar; Inderjit Singh Yadav; Showket Hussain; Bhudev C. Das; Mausumi Bharadwaj


International Journal of Agriculture, Environment and Biotechnology | 2016

Molecular characterization of mannose specific lectin gene,ASAL1 from Garlic leaf (Allium sativumL.)

Rajveer Singh Grewal; Prashant Mohanpuria; Inderjit Singh Yadav

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Kuldeep Singh

Punjab Agricultural University

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Mausumi Bharadwaj

Indian Council of Medical Research

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Anoop Kumar

Memorial Hospital of South Bend

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Jagdeep Singh Sandhu

Punjab Agricultural University

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Kumari Neelam

Punjab Agricultural University

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Prashant Mohanpuria

Punjab Agricultural University

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Showket Hussain

Indian Council of Medical Research

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Ajay Kumar Mahato

Indian Agricultural Research Institute

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Ajinder Kaur

Punjab Agricultural University

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