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राष्ट्रीय पशु जैव प्रौद्योगिकी संस्थान
National Institute of Animal Biotechnology
An Autonomous Institute of the Department of Biotechnology,
Ministry of Science and Technology, Government of India
राष्ट्रीय पशु जैव प्रौद्योगिकी संस्थान
National Institute of Animal Biotechnology
An Autonomous Institute of the Department of Biotechnology,
Ministry of Science and Technology, Government of India
Education:
PhD (International Doctorate in Structural Biology, 2010)
Magnetic Resonance Centre, CERM, University of Florence (Recognized by the Universities of Frankfurt in Germany and Utrecht in Netherlands).
Interest: Investigation of structural, functional and dynamic properties of metalloproteins
EC Number for Online Verification of AIU Equivalence Certificate Issued by AIU : SHAI07243671
Post Graduation in Bioinformatics, 2006
University of Torino, Italy
EC Number for Online Verification of AIU Equivalence Certificate Issued by AIU : SHAI08245297
M.Sc. in Bioinformatics, 2004
University of Allahabad, UP, India
B.Sc. in Biology, 2002
Maharshi Dayanand Saraswati, Ajmer, Rajasthan, India
Experience:
Scientist E (Bioinformatics), 2023- Present
DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, Telangana, India.
Scientist D (Bioinformatics), 2017-2022
DBT- National Institute of Animal Biotechnology (NIAB), Hyderabad, Telangana, India.
Project Scientist (Bioinformatics), 2012-16
National Agri-Food Biotechnology Institute (NABI), Department of Biotechnology, Mohali, Punjab, India
Post Doctoral Scientist (Bioinformatics), 2010-11
US-India joint research training program hosted by the Seattle Biomedical Research Institute at the University of Washington in USA and at the International Centre for Genetic Engineering and Biotechnology in New Delhi and it was funded by the Fogarty International Centre, NIH, USA.
Scholarships, Awards and Selections:
• Winner of “Science, Society Quiz Award 2004”, Post Graduate level, Awarded by Prof. G. K. Mehta, Hon. Vice Ch., University of Allahabad.
• Selected for research project training at the National High field NMR facility for the partial fulfilment of M. Sc degree at Tata Institute of Fundamental Research, Mumbai, India.
• Selected for Italian Government scholarship in Biotechnology for the year 2005-06 processed by the Ministry Human Recourse and Development of the Government of India.
• Selected in 10 week visit to Genomics lab of the National institute of Basic Biology in Japan.
• Selected in the “USA-INDIA joint research training program “as a postdoctoral scientist. Funded by the Fogarty International Centre of National institutes of Health, USA.
• Chaired a technical session and delivered invited lectures: International seminar cum training workshop on “Molecular modelling, proteinprotein interactions and computer aided drug design “, March 20-22, 2010.This workshop was held at IIDS, University of Allahabad.
Our group majorly focuses on Transcriptomics, Proteomics and Genomics, including application of data mining, application of bioinformatics tools, and structure-activity relationships. Currently we are working on various projects.
1. Transcriptomic analysis to identify key molecular players involved during host response to NDV challenge in different breeds and tissues of Gallus gallus.
Different breeds of Gallus gallus were known to be having differential resistance against Newcastle Disease Virus (NDV) infection. Differentially expressed genes which were thought to be involved in this pattern of resistance were already studied. Here we are analysing the transcriptomic data of various tissues of Gallus gallus for studying the lncRNAs involved in regulation of these genes. Functional annotation using co-expression analysis reveals the involvement of lncRNAs in the regulation of various pathways. Additionally, the role of lncRNAs as putative micro RNA precursors, and the interaction of differentially expressed Genes with transcription factors and micro RNAs will be identified.
2. Insights into lncRNA studies in early embryonic samples of livestock animals.
Investigation of molecular regulation of lncRNA in the sex determination of cattle. RNA-seq strategy is used to analyze the differentially expressed lncRNAs. Studies are focussing to find out the potential lncRNAs involved in the gonadal differentiation, their chromosomal localization, involvement in the regulatory pathways.
3. In-silico prediction of Animal susceptibility and Virtual screening of Natural Compounds against SARS-CoV-2: MDS.
Drug development by proposing a list of potential drug candidates by utilizing the available natural compound libraries and proteomics data. Virtual screening of natural compounds against the spike protein and 14 protein domain structures harboring in orf1ab to find the novel compounds against SARS-CoV-2. Molecular dynamics simulation of spike protein complexes with ACE2 receptors of 17 different hosts were performed to study the nature and stability of the complexes. RMSD, Ramachandran plot, H-bonds, Potential, Kinetic and total energies were estimated.
4. Whole genome sequencing and gene prediction of Tasar silkworm (Antheraea mylitta).
Tropical tasar silkworm, Antheraea mylitta is widespread and distributed in various geographical areas of India as ‘Ecoraces’. The cocoons of this insect have very high content of silk which is known to be the largest among all the other known non-mulberry silk producing insects. Here we assembled the Whole genome of Tasar silkworm by using various in-silico approaches. The whole genome sequence would be used as a reference sequence to analyse the genetic variation between the ecoraces. In addition, annotated genes information from the transcript sequence would be used to study the gene expression pattern and for induction and regulation of genes related to qualitative and quantitative characters to enhance the productivity of tasar silk.
2024
29. Vanamamalai VK, Priyanka E, Kannaki TR and Sharma S (2024) Integrative study of chicken lung transcriptome to understand the host immune response during Newcastle disease virus challenge. Front. Cell. Infect. Microbiol. 14:1368887. doi: 10.3389/fcimb.2024.1368887 Impact factor 4.6; Corresponding author
28. Garg P, Vanamamalai VK, Sharma S. In-silico analysis of cattle blood transcriptome to identify lncRNAs and their role during bovine tuberculosis. Sci Rep. 2024 Jul 17;14(1):16537. doi: 10.1038/s41598-024-67001-0. PMID: 39019929. Impact factor 3.8; Corresponding author
27. Vanamamalai VK, Priyanka E, Kannaki TR, Sharma S. Breed and timepoint-based analysis of chicken harderian gland transcriptome during Newcastle disease virus challenge. Front Mol Biosci. 2024 Jun 10;11:1365888. doi: 10.3389/fmolb.2024.1365888. PMID: 38915939; PMCID: PMC11194529. Impact factor 3.9; Corresponding author
2023
26. Vanamamalai VK, E P, T R K, Sharma S. Integrated analysis of genes and long non-coding RNAs in trachea transcriptome to decipher the host response during Newcastle disease challenge in different breeds of chicken. Int J Biol Macromol. 2023 Dec 31;253(Pt 5):127183. doi: 10.1016/j.ijbiomac.2023.127183. Epub 2023 Oct 2. PMID: 37793531.Impact factor 7.7; Corresponding author
2022
25. Jali I, Vanamamalai VK, Garg P, Navarrete P, Gutiérrez-Adán A, Sharma S. Identification and differential expression of long non-coding RNAs and their association with XIST gene during early embryonic developmental stages of Bos taurus. Int J Biol Macromol. 2023 Feb 28;229:896-908. doi: 10.1016/j.ijbiomac.2022.12.221. Epub 2022 Dec 24. PMID: 36572076. PMID: 36572076. Impact factor 7.7; Corresponding author
24. Garg P, Vanamamalai VK, Jali I, Sharma S. In silico prediction of the animal susceptibility and virtual screening of natural compounds against SARS-CoV-2: Molecular dynamics simulation based analysis. Front Genet. 2022 Aug 30;13:906955. doi: 10.3389/fgene.2022.906955. PMID: 36110222; PMCID: PMC9468858. Impact factor 2.8; Corresponding author
23. Praharaj MR, Garg P, Kesarwani V, Topno NA, Khan RIN, Sharma S, Panigrahi M, Mishra BP, Mishra B, Kumar GS, Gandham RK, Singh RK, Majumdar S, Mohapatra T. SARS-CoV-2 Spike Glycoprotein and ACE2 Interaction Reveals Modulation of Viral Entry in Wild and Domestic Animals. Front Med (Lausanne). 2022 Mar 11;8:775572. doi: 10.3389/fmed.2021.775572. PMID: 35360445; PMCID: PMC8962831. Impact factor 3.1
2021
22. Vanamamalai VK, Garg P, Kolluri G, Gandham RK, Jali I, Sharma S. Transcriptomic analysis to infer key molecular players involved during host response to NDV challenge in Gallus gallus (Leghorn & Fayoumi). Sci Rep. 2021 Apr 19;11(1):8486. doi: 10.1038/s41598-021-88029-6. PMID: 33875770; PMCID: PMC8055681.Impact factor 3.8; Corresponding author
21. Razazan A, Karunakar P, Mishra SP, Sharma S, Miller B, Jain S, Yadav H. Activation of Microbiota Sensing – Free Fatty Acid Receptor 2 Signaling Ameliorates Amyloid-β Induced Neurotoxicity by Modulating Proteolysis-Senescence Axis. Front Aging Neurosci. 2021 Oct 5;13:735933. doi: 10.3389/fnagi.2021.735933. PMID: 34707491; PMCID: PMC8544178. Impact factor 5.7
2020
20. Kushwaha SK, Kesarwani V, Choudhury S, Gandhi S, Sharma S. SARS-CoV-2 transcriptome analysis and molecular cataloguing of immunodominant epitopes for multi-epitope based vaccine design. Genomics. 2020 Nov;112(6):5044-5054. doi: 10.1016/j.ygeno.2020.09.019. Epub 2020 Sep 10. PMID: 32920121; PMCID: PMC7500163. Impact factor 3.4
19. Karunakar, P., Mishra, S.P., Razazan, A.P., Sharma S. and Yadav, H. (2020), Identification of potential agonist of human and mouse FFAR2 by homology modeling and molecular docking study approach. The FASEB Journal, 34: 1-1. doi:10.1096/fasebj.2020.34.s1.03551 Impact factor 5.8
18. Thakur V, Bains S, Pathania S, Sharma S, Kaur R, Singh K. Comparative transcriptomics reveals candidate transcription factors involved in costunolide biosynthesis in medicinal plant-Saussurea lappa. Int J Biol Macromol. 2020 May 1;150:52-67. doi: 10.1016/j.ijbiomac.2020.01.312. Epub 2020 Feb 7. PMID: 32035965. Impact factor 7.7
2019
17. Goyal N, Bhatia G, Sharma S, Garewal N, Upadhyay A, Upadhyay SK, Singh K. Genome-wide characterization revealed role of NBS-LRR genes during powdery mildew infection in Vitis vinifera. Genomics. 2020 Jan;112(1):312-322. doi: 10.1016/j.ygeno.2019.02.011. Epub 2019 Feb 22. PMID: 30802599. Impact factor 3.4
16. Bhatia G, Sharma S, Upadhyay SK, Singh K. Long Non-coding RNAs Coordinate Developmental Transitions and Other Key Biological Processes in Grapevine. Sci Rep. 2019 Mar 5;9(1):3552. doi: 10.1038/s41598-019-38989-7. PMID: 30837504; PMCID: PMC6401051.Impact factor 3.8
15. Garima Bhatia, Aman Singh, Deepika Verma, Shailesh Sharma, Kashmir Singh, Genome-wide investigation of regulatory roles of lncRNAs in response to heat and drought stress in Brassica juncea (Indian mustard), Environmental and Experimental Botany, Volume 171, 2020, 103922, ISSN 0098-8472, https://doi.org/10.1016/j.envexpbot.2019.103922. Impact factor 6.0
14. Sharma PK, Sharma V, Sharma S, Bhatia G, Singh K, Sharma R. Comparative metatranscriptome analysis revealed broad response of microbial communities in two soil types, agriculture versus organic soil. J Genet Eng Biotechnol. 2019 Oct 14;17(1):6. doi: 10.1186/s43141-019-0006-3. PMID: 31659568; PMCID: PMC6821142. Impact factor 3.6
2017
13. Angmo S, Tripathi N, Abbat S, Sharma S, Singh SS, Halder A, Yadav K, Shukla G, Sandhir R, Rishi V, Bharatam PV, Yadav H, Singhal NK. Identification of Guanosine 5′-diphosphate as Potential Iron Mobilizer: Preventing the Hepcidin-Ferroportin Interaction and Modulating the Interleukin-6/Stat-3 Pathway. Sci Rep. 2017 Jan 5;7:40097. doi: 10.1038/srep40097. PMID: 28054602; PMCID: PMC5214259. Impact factor 3.8
12. Shumayla, Sharma S, Taneja M, Tyagi S, Singh K, Upadhyay SK. Survey of High Throughput RNA-Seq Data Reveals Potential Roles for lncRNAs during Development and Stress Response in Bread Wheat. Front Plant Sci. 2017 Jun 9;8:1019. doi: 10.3389/fpls.2017.01019. PMID: 28649263; PMCID: PMC5465302. Impact factor 6.6
11. Bhatia G, Goyal N, Sharma S, Upadhyay SK, Singh K. Present Scenario of Long Non-Coding RNAs in Plants. Noncoding RNA. 2017 Mar 24;3(2):16. doi: 10.3390/ncrna3020016. PMID: 29657289; PMCID: PMC5831932. Impact factor 4.3
2016
10. Shumayla, Sharma S, Pandey AK, Singh K, Upadhyay SK. Molecular Characterization and Global Expression Analysis of Lectin Receptor Kinases in Bread Wheat (Triticum aestivum). PLoS One. 2016 Apr 25;11(4):e0153925. doi: 10.1371/journal.pone.0153925. PMID: 27111449; PMCID: PMC4844157. Impact factor 3.7
9. Taneja M, Tyagi S, Sharma S, Upadhyay SK. Ca2+/Cation Antiporters (CaCA): Identification, Characterization and Expression Profiling in Bread Wheat (Triticum aestivum L.). Front Plant Sci. 2016 Nov 28;7:1775. doi: 10.3389/fpls.2016.01775. PMID: 27965686; PMCID: PMC5124604. Impact factor 6.6
8. Shumayla, Sharma S, Kumar R, Mendu V, Singh K, Upadhyay SK. Genomic Dissection and Expression Profiling Revealed Functional Divergence in Triticum aestivum Leucine Rich Repeat Receptor Like Kinases (TaLRRKs). Front Plant Sci. 2016 Sep 22;7:1374. doi: 10.3389/fpls.2016.01374. PMID: 27713749; PMCID: PMC5031697.Impact factor 6.6
2015
7. Shailesh Sharma. Assemblies of wheat EST sequences and annotation of Affymetrix consensus sequences of wheat transcriptome. American Journal of Bioinformatics Research. 2015; 5(1): 16-19 doi:10.5923/j.bioinformatics.20150501.03
6. Upadhyay SK, Sharma S, Singh H, Dixit S, Kumar J, Verma PC, Chandrashekar K. Whitefly genome expression reveals host-symbiont interaction in amino acid biosynthesis. PLoS One. 2015 May 22;10(5):e0126751. doi: 10.1371/journal.pone.0126751. PMID: 26000976; PMCID: PMC4441466. Impact factor 3.7
2014
5. Upadhyay SK, Sharma S. SSFinder: high throughput CRISPR-Cas target sites prediction tool. Biomed Res Int. 2014;2014:742482. doi: 10.1155/2014/742482. Epub 2014 Jun 26. PMID: 25089276; PMCID: PMC4095993. Impact factor 3.2
4. Shailesh Sharma, Santosh Kumar Upadhyay. Functional Characterization of Expressed Sequence Tags of Bread Wheat (Triticum aestivum) and Analysis of CRISPR Binding Sites for Targeted Genome Editing. American Journal of Bioinformatics Research. 2014; 4(1): 11-22 doi:10.5923/j.bioinformatics.20140401.03
2013
3. Upadhyay SK, Dixit S, Sharma S, Singh H, Kumar J, Verma PC, Chandrashekar K. siRNA machinery in whitefly (Bemisia tabaci). PLoS One. 2013 Dec 31;8(12):e83692. doi: 10.1371/journal.pone.0083692. PMID: 24391810; PMCID: PMC3877088. Impact factor 3.7
2010
2. Sharma S, Cavallaro G, Rosato A. A systematic investigation of multiheme c-type cytochromes in prokaryotes. J Biol Inorg Chem. 2010 May;15(4):559-71. doi: 10.1007/s00775-010-0623-4. Epub 2010 Jan 19. PMID: 20084531.Impact factor 3.8
2009
1. Sharma S, Rosato A. Role of the N-terminal tail of metal-transporting P(1B)-type ATPases from genome-wide analysis and molecular dynamics simulations. J Chem Inf Model. 2009 Jan;49(1):76-83. doi: 10.1021/ci8002304. PMID: 19090784. Impact factor 5.9 (Cover Page Article).
PhD Students:
Shivam Saini, CSIR-SRF
M.Sc. Zoology, University of Delhi
Current Research Interest: Structure – function analyses of BEFV accessory proteins
Anjali Mishra, JRF-UGC
M.Sc. Zoology, University of Allahabad, Prayagraj
M Emmanuel Raj, JRF-CSIR
M.Sc. Microbiology, Central University of Tamilnadu, Tamil Nadu
Vadithe Anji Naik, JRF-CSIR
M.Sc. Biochemistry, Central University of Punjab, Punjab
Diksha Sehgal, UGC-JRF
M.Sc. Biotechnology, Kurukshetra University, Kurukshetra
Dushyant Deotale, DBT-Project Associate-I
M.Sc. Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu
Alumni:
Dr. Itishree Jali
Working as Data Analyst in the Indo-French Node at Institute of Liver & Biliary Sciences, New Delhi
CSIR-SRF (Defended PhD thesis [December 2024])
PhD Biotechnology, NIAB (RCB)
MTech Bioinformatics, University of Hyderabad
Dr. Venkata Krishna Vanamamalai
Working as Postdoctoral Researcher at University of Hyderabad
CSIR-SRF (Defended PhD thesis [October 2024])
PhD Biotechnology, NIAB (RCB)
M.Sc. Biotechnology, Osmania University
Md Ibrar Ansari, MSc Trainee
M.Sc. Biotechnology, Vinoba Bhave University, Hazaribag
Akanksha Sinha, MSc Trainee
M.Sc. Microbiology, Shobhit Institute of Engineering and Technology, Meerut
Kopal singh, MSc Trainee
M.Sc. Bioinformatics, Central University South Bihar
Satyaprakash Das, MSc Trainee
M.Sc. Bioinformatics, Chandigarh University
Priyanka Garg, DBT-Project Associate-II
Working as SPA at CCMB- Hyderabad
M.Sc. Bioinformatics, Panjab University
Ayushi Dwivedi
Pursuing Ph.D. at University of Hyderabad
M.Sc. Bioinformatics, University of Allahabad.
| Title | Duration | Total Value | Other Institutes | Funding agency |
| Aiming to identify farmer-friendly therapeutics to impede livestock ovarian aging | 3 Years | 59.9 L | NIL | DBT |
| Identification of key molecular players specially lncRNAs involved in response to NDV challenge in indigenous and exotic chicken breeds using RNA-seq analysis | One and Half year | Rs 58 lakhs | ICAR-CARI, Barely | DBT |
| Sequencing of whole genome of tasar silkworm, Antheraea mylitta. | Three Years | Rs. 99.74 Lakhs | CTR&TI | DBT |
| Limiting antimicrobial resistance by inhibiting deadenylate cyclase (DAC)- a bacterial second messenger biosynthetic enzyme involved in biofilm formation and cell wall integrity. | Three Years | Rs 42 Lakhs | NIL | ICMR |
National Institute of Animal Biotechnology
Survey No. 37, Opp. Journalist Colony
Extended Q City Road, Near Gowlidoddy
Gachibowli, Hyderabad
Telangana – 500032
Email: shailesh.sharma[at]niab[dot]org[dot]in
Tel: +91-(0)40-2312-0119
Submitted Genome Sequence:
Organism: Antheraea mylitta isolate AMDABA2020, whole genome shotgun sequencing project.
GenBank id: JACEII000000000.1
Interested and motivated students who would like to explore job opportunities in our group as an independent PhD (Minimum Requirement: M.Sc. degree) and Postdoctoral Research Associate (Minimum Requirement: Ph. D. degree / Provisional Certificate on Ph. D. thesis submission). Please write an e-mail to shailesh.sharma[at]niab[dot]org[dot]in along with your CV and brief area of research interest.
An Autonomous Institute of the Department of Biotechnology,
Ministry of Science and Technology, Government of India
+91 40 2312 0103
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