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Vol. 12, Issue 9 (2023)

Genomic approaches to ensure a more sustainable and productive future of mulberry for sericulture industry

Author(s):
Haragopal Dutta, Ashutosh Sawarkar, Suman Dutta, Atul Pradhan, Sonika Yumnam, Debashis Paul, Bhabani Prasad Mondal and Kaushik Kumar Panigrahi
Abstract:
Over the past few decades, the field of genomics has made significant strides in understanding the molecular basis of plant growth and development, and mulberry (Morus spp.) is no exception. Mulberry is a highly valued plant in sericulture due to its nutritional and medicinal properties. With the help of genomics, researchers are uncovering new ways to improve mulberry productivity and quality. One of the key advancements in mulberry genomics has been the identification and characterization of genes involved in key metabolic pathways. By studying these pathways, researchers have gained insights into the molecular mechanisms that regulate mulberry growth and development, and have identified potential targets for genetic improvement. With the advent of high-throughput sequencing technologies, it is now possible to rapidly sequence the entire genome of a plant and identify genetic markers that are associated with desirable traits. By using these markers, breeders can select for specific traits with greater precision and efficiency. Overall, the emergence of genomics in mulberry research holds great promise for improving productivity and quality for such important plant. By continuing to uncover the molecular mechanisms that regulate mulberry growth and using these insights to guide breeding efforts, researchers can ensure a more sustainable and productive future for sericulture.
Pages: 2001-2011  |  415 Views  181 Downloads


The Pharma Innovation Journal
How to cite this article:
Haragopal Dutta, Ashutosh Sawarkar, Suman Dutta, Atul Pradhan, Sonika Yumnam, Debashis Paul, Bhabani Prasad Mondal, Kaushik Kumar Panigrahi. Genomic approaches to ensure a more sustainable and productive future of mulberry for sericulture industry. Pharma Innovation 2023;12(9):2001-2011. DOI: 10.22271/tpi.2023.v12.i9v.22980

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