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Applications of some advanced sequencing, analytical, and computational approaches in medicinal plant research: a review

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Abstract

The potential active chemicals found in medicinal plants, which have long been employed as natural medicines, are abundant. Exploring the genes responsible for producing these compounds has given new insights into medicinal plant research. Previously, the authentication of medicinal plants was done via DNA marker sequencing. With the advancement of sequencing technology, several new techniques like next-generation sequencing, single molecule sequencing, and fourth-generation sequencing have emerged. These techniques enshrined the role of molecular approaches for medicinal plants because all the genes involved in the biosynthesis of medicinal compound(s) could be identified through RNA-seq analysis. In several research insights, transcriptome data have also been used for the identification of biosynthesis pathways. miRNAs in several medicinal plants and their role in the biosynthesis pathway as well as regulation of the disease-causing genes were also identified. In several research articles, an in silico study was also found to be effective in identifying the inhibitory effect of medicinal plant-based compounds against virus’ gene(s). The use of advanced analytical methods like spectroscopy and chromatography in metabolite proofing of secondary metabolites has also been reported in several recent research findings. Furthermore, advancement in molecular and analytic methods will give new insight into studying the traditionally important medicinal plants that are still unexplored.

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Acknowledgements

DS and MHS acknowledge the Integral University, Lucknow, for providing all the necessary facilities to carry out this study. The Integral University manuscript communication number of this article is IU/R&D/2021-MCN0001338. DS is also thankful to the University Grants Commission, Government of India for providing fellowship.

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This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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  1. Dhananjay Singh and Nishu Mittal have contributed equally to this work.

Authors and Affiliations

  1. Department of Biosciences, Integral University, Lucknow, Uttar Pradesh, 226026, India

    Dhananjay Singh

  2. Institute of Biosciences and Technology, Shri Ramswaroop Memorial University, Barabanki, Uttar Pradesh, 225003, India

    Nishu Mittal & Anjali Singh

  3. College of Horticulture and Forestry Thunag, Dr. Y. S. Parmar University of Horticulture and Forestry, Nauni, Solan, Himachal Pradesh, 173230, India

    Swati Verma

  4. Department of Bioengineering, Integral University, Lucknow, Uttar Pradesh, 226026, India

    Mohammed Haris Siddiqui

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Contributions

DS gave the concept for review. DS, NM, and AS searched the available literature. DS prepared the complete draft. NM designed the figures and tables. SV gave suggestions in finalizing the draft. NM and DS gave the final touch to the draft. MHS approved the final draft.

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Correspondence to Mohammed Haris Siddiqui.

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Singh, D., Mittal, N., Verma, S. et al. Applications of some advanced sequencing, analytical, and computational approaches in medicinal plant research: a review. Mol Biol Rep 51, 23 (2024). https://doi.org/10.1007/s11033-023-09057-1

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