Publications of NIPGR Scientists

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Author: search.filters.author.Prasad, Abhishek

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    Quantification of pollen viability in Lantana camara by digital holographic microscopy
    (Cambridge University Press, 2023) Kumar, Vipin; Goyal, Nishant; Prasad, Abhishek; Babu, Suresh; Khare, Kedar; Yadav, Gitanjali
    Pollen grains represent the male gametes of seed plants and their viability is critical for sexual reproduction in the plant life cycle. Palynology and viability studies have traditionally been used to address a range of botanical, ecological and geological questions, but recent work has revealed the importance of pollen viability in invasion biology as well. Here, we report an efficient visual method for assessing the viability of pollen using digital holographic microscopy (DHM). Imaging data reveal that quantitative phase information provided by the technique can be correlated with viability as indicated by the outcome of the colorimetric test. We successfully test this method on pollen grains of Lantana camara, a well-known alien invasive plant in the tropical world. Our results show that pollen viability may be assessed accurately without the usual staining procedure and suggest potential applications of the DHM methodology to a number of emerging areas in plant science.
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    Complex networks reveal biological functions of START domains in rice: Insights from computational systems biology
    (Springer Nature Publishing AG, 2022) Mahtha, Sanjeet Kumar; Citu; Prasad, Abhishek; Yadav, Gitanjali
    With the advancement of high throughput technologies, there has been a massive surge in the omics data generation and there is a growing need to integrate this data gain insights into the patterns that shape biological interactions. Complex networks not only enable representation of such interactions, but also offer a mechanism for visualization and understanding of big data at a systems level. In this work, we use a complex network approach to investigate functions of the plant amplified StAR-related lipid transfer (START) domains in rice. We analyse the data at three levels; namely the transcriptome, proteome, and regulome. Each of these distinct datasets was superimposed after generation of the respective co-expression, protein-protein interaction, and gene regulatory networks for rice START genes, to reveal domain specific features in the family. This work thus serves as a protocol for network-based approaches to understand biological processes of genes and to complement experimental strategy.
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    Decision support systems based on scientific evidence: bibliometric networks of invasive Lantana camara
    (Indian National Science Academy, 2021) Mishra, Preet; Prasad, Abhishek; Babu, Suresh; Yadav, Gitanjali
    Extraction and analysis of useful knowledge from the vast amount of relevant published literature can add valuable insights to any research theme or area of interest. We introduce a simplifed bibliometric data analysis protocol for gaining substantial insights into research thematics, which can also serve as a handy practical skill for researchers while working from home. In this paper, we provide ways of developing a holistic research strategy using bibliometric-data driven approaches that integrate network analysis and information management, without the need for full paper access. This protocol is a comprehensive multi-modular pathway for analysis of metadata obtained from major scientifc publishing houses by the use of a Decision Support System (DSS). A simple case study on the invasive species Lantana camara has been presented as a proof-of-concept to show how one can implement this DSS based protocol. Some perspectives are also provided on how the outcomes can be used directly or scaled up for long term research interventions. We hope that this work will simplify exploratory literature review, and enable rational design of research objectives for scholars, as well as the development of comprehensive grant proposals that address gaps in research.
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    Impact of coronavirus outbreaks on science and society: Insights from temporal bibliometry of SARS and COVID-19
    (MDPI AG, 2021) Gupta, Ramya; Prasad, Abhishek; Babu, Suresh; Yadav, Gitanjali
    A global event such as the COVID-19 crisis presents new, often unexpected responses that are fascinating to investigate from both scientific and social standpoints. Despite several documented similarities, the coronavirus pandemic is clearly distinct from the 1918 flu pandemic in terms of our exponentially increased, almost instantaneous ability to access/share information, offering an unprecedented opportunity to visualise rippling effects of global events across space and time. Personal devices provide “big data” on people’s movement, the environment and economic trends, while access to the unprecedented flurry in scientific publications and media posts provides a measure of the response of the educated world to the crisis. Most bibliometric (co-authorship, co-citation, or bibliographic coupling) analyses ignore the time dimension, but COVID-19 has made it possible to perform a detailed temporal investigation into the pandemic. Here, we report a comprehensive network analysis based on more than 20,000 published documents on viral epidemics, authored by over 75,000 individuals from 140 nations in the past one year of the crisis. Unlike the 1918 flu pandemic, access to published data over the past two decades enabled a comparison of publishing trends between the ongoing COVID-19 pandemic and those of the 2003 SARS epidemic to study changes in thematic foci and societal pressures dictating research over the course of a crisis.