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Ankita Negi
PhD
Alumni • Class of 2018-19

Ankita Negi

Ph.D. Bioinformatics

Assistant Professor at Bihar Agricultural University, Sabour
11225
Dr. Sarika

2

Publications

4 yr 6 mo

Duration

Research Thesis

Title

Computational approach for prediction of AMP and molecular markers in black pepper germplasm

Objectives

1. To develop machine learning based algorithm for AMP prediction using genome data in black pepper. 2. To mine genome-wide molecular markers from black pepper genomic data. 3. To predict microRNA genes using whole genome sequence of black pepper. 4. To develop web-genomic resource for black pepper.

Abstract

Black pepper (Piper nigrum, 2n = 52), an important spice, has been traditionally used for the treatment of various diseases owing to its therapeutic properties since time immemorial. Antimicrobial peptides (AMPs) (nature's antibiotics/host defense peptides) are produced by living organisms as innate immune response against microbes. To overcome the problem of antimicrobial resistance (AMR), toxicity residue of antibiotics and more, the computational approach tuning to AMPs prediction and whole genome analysis will be advantageous. In this work, in silico prediction of genome-wide AMPs in black pepper and development of its specific prediction server using machine learning techniques were done along with identification of molecular markers and miRNAs in black pepper genome. Web genomic resources, including species-specific AMP candidate prediction server BPepAMPred (http://login1.cabgrid.res.in:5040/) based on bidirectional- Gated Recurrent Unit- based deep neural network architecture, BPepAMPdb (http://backlin.cabgrid.res.in/blackpepper_amp_db/) cataloguing predicted 43759 AMP candidates across black pepper proteome along with 10935 functionally associated unique genes with detailed features were developed. BlackP2MSATdb (http://webtom.cabgrid.res.in/blackp2msatdb/), which is the first largest reported web resource for black pepper genomic SSRs and polymorphic SSRs was also developed using ddRAD GBS data of 29 genotypes of black pepper across India were used. A total of 276230 genomic SSRs with average distance of 2.76 Kb between each SSR and a relative density of 362.88 SSRs per Mb, 3176 polymorphic SSRs from 29 black pepper genotypes, out of which 2015 were found hypervariable. The study also reports 2029 putative conserved miRNAs and 4207 miRNA targets coding sequences of black pepper which were functionally characterised to determine the possible post-transcriptional regulatory processes. This information can be used by researchers for the study of genetic diversity among the different black pepper verities, studies of post-transcriptional regulation and its role in various black pepper diseases. The markers provided can be used in QTL discovery, variety signature, traceability of produce and product, including GI certification if needed and in improvement program.

Publications (2)

Genome wide identification of Plant based natural Antimicrobial Peptides using deep leaning approach in Black pepper.

Genome wide identification of Plant based natural Antimicrobial Peptides using deep leaning approach in Black pepper.

Negi, Ankita, Singh, Kalpana, Ahmed, Bulbul, Jaiswal, Sarika, Iquebal, Mir Asif, Angadi, U.B., Rai, Anil, Kumar, Dinesh

International Journal of Data Science and Analytics 2025 NAAS: 8.80 IF: 2.80
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Rapid genome wide location specific polymorphic SSR markers in black pepper genotypes by GBS approach.

Rapid genome wide location specific polymorphic SSR markers in black pepper genotypes by GBS approach.

Negi Ankita, Singh, Kalpana, Jaiswal, Sarika, George, Johnson K., Angadi, U.B., Iquebal, Mir Asif, Umadevi P., Rai, Anil, Kumar, Dinesh

Frontiers in Plant Science 2022 NAAS: 10.80 IF: 4.80
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Academic Details

Program
PhD
Roll Number
11225
Batch Year
2018-19
Fellowship
Institute
Admission
Jul 2018
Completion
Jan 2023