Integrated Omics and Mutation in Algae

Integrated Omics and Mutation in Algae

Eladl Eltanahy, Aya Torky
DOI: 10.4018/978-1-6684-2438-4.ch005
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Abstract

Algae importance is spectacularly increasing in many biotechnological applications, such as human food, animal feed, biofuels, bioplastics, bioremediation, pharmaceuticals, and cosmetics. With the widespread use of “omics” technologies over the past two decades, recent advanced research attempts to understand the pathways of the promising algae species by whole genomes sequencing (genomics) and revealing lipid pathways (lipidomics), microarray to study all RNA transcripts (transcriptomics), all protein sets produced by the algal cell (proteomics). DNA alteration as classical mutagenesis caused a random mutation such as ethyl methane-sulfonate as chemical mutagenic and ultraviolet radiation as a physical mutagenic. On the other hand, the CRISPR-Cas9 modern technique is used to genetically engineer a protein with maximum editing efficiency. Incorporating omics and mutations techniques helps to thoroughly understand the systems biology of algae in the new era called integrated omics.
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Integrated Omics

Integrated-omics, multi-omics, pan-omics, poly-omics and trans-omics are different names for the study of two or more omics data sets in order to support the analysis of the data and the huge results produced by different omics analyzes (Krassowski, Das, Sahu, & Misra, 2020). Also, how to use them to explain metabolic pathways and visualize the biological mechanism of algae growth and an accurate understanding of how different physical and chemical factors affect the environment algae influence its various metabolic processes, as well as changing the bioactive metabolic compounds. Although omics techniques have been considered somewhat modern techniques during the past two decades, most of the early research was mainly concerned with the medical fields and pathogenic bacteria because of their impact on human health and the possibility of using them in the pharmaceutical industries (Jamers, Blust, & De Coen, 2009) in addition to the very high costs of the analysis, which were not available in many research laboratories at that time. Over time, these omics techniques became cheaper in price, and with the development of next-generation sequencing techniques and the issuance of many types of equipment that could perform these analyzes, the use of omics techniques blowout to start the era of phycology omics.

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