Omics approaches for microalgal applications: Prospects and challenges
Abstract
In recent impetus of phycological research, microalgae have emerged as a potential candidate for various arena of application-driven research. Omics-based tactics are used for disentangling the regulation and network integration for biosynthesis/degradation of metabolic precursors, intermediates, end products, and identifying the networks that regulate the metabolic flux. Multi-omics coupled with data analytics have facilitated understanding of biological processes and allow ample access to diverse metabolic pathways utilized for genetic manipulations making microalgal factories more efficient. The present review discusses state-of-art "Algomics" and the prospect of microalgae and their role in symbiotic association by using omics approaches including genomics, transcriptomics, proteomics and metabolomics. Microalgal based uni- and multi-omics approaches are critically analyzed in wastewater treatment, metal toxicity and remediation, biofuel production, and therapeutics to provide an imminent outlook for an array of environmentally sustainable and economically viable microalgal applications.
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Omics techniques for algae (algomics) are highly valuable in assisting the design of experiments and predicting potential interactions and outcomes in algae research.
“Omics techniques for algae, known as ‘algomics’, including transcriptomics, genomics, proteomics, metabolomics, and metagenomics, prove to be highly valuable in assisting the design of experiments and predicting potential interactions and outcomes in algae research [218].”
From Microalgae biofuels: illuminating the path to a sustainable future amidst challenges and opportunities (2024) · cites this paper as [218]
Cites
Khan, M. I., Shin, J. H., & Kim, J. D. (2018) · Microbial Cell Factories · doi:10.1186/s12934-018-0879-x · Cited by 2,082 · see citing works
The Evolution of Modern Eukaryotic Phytoplankton
Falkowski, P. G., Katz, M. E., Knoll, A. H., Quigg, A., Raven, J. A., Schofield, O., & Taylor, F. J. R. (2004) · Science · doi:10.1126/science.1095964 · Cited by 1,613 · see citing works
Microalgae as Sources of High Added-Value Compounds—A Brief Review of Recent Work
Guedes, A. C., Amaro, H. M., & Malcata, F. X. (2011) · Biotechnology Progress · doi:10.1002/btpr.575 · Cited by 348 · see citing works
Jagadevan, S., Banerjee, A., Banerjee, C., Guria, C., Tiwari, R., Baweja, M., & Shukla, P. (2018) · Biotechnology for Biofuels · doi:10.1186/s13068-018-1181-1 · Cited by 275 · see citing works
Guarnieri, M. T., Nag, A., Smolinski, S. L., Darzins, A., Seibert, M., & Pienkos, P. T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025851 · Cited by 234 · see citing works
Gao, C., Wang, Y., Shen, Y., Yan, D., He, X., Dai, J., & Wu, Q. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-582 · Cited by 175 · see citing works
Bogen, C., Al-Dilaimi, A., Albersmeier, A., Wichmann, J., Grundmann, M., Rupp, O., Lauersen, K. J., Blifernez-Klassen, O., Kalinowski, J., Goesmann, A., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-926 · Cited by 108 · see citing works
Tran, N.-A. T., Padula, M. P., Evenhuis, C. R., Commault, A. S., Ralph, P. J., & Tamburic, B. (2016) · Algal Research · doi:10.1016/j.algal.2016.07.009 · Cited by 53 · see citing works
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Genetic engineering of microalgae for enhanced biorefinery capabilities
Fayyaz, M., Chew, K. W., Show, P. L., Ling, T. C., Ng, I.-S., & Chang, J.-S. (2020) · Biotechnology Advances · doi:10.1016/j.biotechadv.2020.107554 · Cited by 225 · see citing works
Wang, M., Ye, X., Bi, H., & Shen, Z. (2024) · Biotechnology for Biofuels and Bioproducts · doi:10.1186/s13068-024-02461-0 · Cited by 201 · see citing works
Chong, J. W. R., Khoo, K. S., Yew, G. Y., Leong, W. H., Lim, J. W., Lam, M. K., Ho, Y.-C., Ng, H. S., Munawaroh, H. S. H., & Show, P. L. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2021.125947 · Cited by 163 · see citing works
Thanigaivel, S., Priya, A. K., Dutta, K., Rajendran, S., & Vasseghian, Y. (2022) · Fuel · doi:10.1016/j.fuel.2021.122827 · Cited by 126 · see citing works
Emerging Applications of Chlorella sp. and Spirulina (Arthrospira) sp.
Abreu, A. P., Martins, R., & Nunes, J. (2023) · Bioengineering · doi:10.3390/bioengineering10080955 · Cited by 119 · see citing works
A Systemic Review on Microalgal Peptides: Bioprocess and Sustainable Applications
Sathya, R., MubarakAli, D., MohamedSaalis, J., & Kim, J.-W. (2021) · Sustainability · doi:10.3390/su13063262 · Cited by 48 · see citing works
- Authors
- Mishra, A., Medhi, K., Malaviya, P., & Thakur, I. S.
- Affiliations
- Jawaharlal Nehru University (IN)
- University of Jammu (IN)
- Corresponding author
- Thakur, Indu Shekhar
- Venue
- Bioresource Technology
- Publisher
- Elsevier BV
- Published
- 2019-11
- Volume
- 291
- Pages
- 121890
- ISSN
- 0960-8524 (ISSN-L)
- OpenAlex
- W2963574145
- Cited by
- 141
- References
- 9
- Citations by year
- 2026: 17 · 2025: 18 · 2024: 25 · 2023: 21 · 2022: 20 · 2021: 25 · 2020: 12 · 2019: 2
- FWCI
- 0.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Bioresource Technology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University Grants Commission
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Algal biology and biofuel production
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protist diversity and phylogeny
- Keywords
- microalgae, omics, multi-omics, metabolic pathways, metabolic flux, transcriptomics, proteomics, metabolomics, genomics, symbiosis, wastewater treatment, metal toxicity, biofuel production, bioremediation
- MeSH terms
- Animals, Humans, Genomics, Proteomics, Metabolomics, Microalgae, Wastewater
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