Pathogen genomic surveillance status among lower resource settings in Asia

Pathogen genomic surveillance status among lower resource settings in Asia

Nature Microbiology

10.1038/s41564-024-01809-4

https://doi.org/10.1038/s41564-024-01809-4

Marya Getchell, Suci Wulandari, Ruklanthi de Alwis, Shreya Agoramurthy, Yoong Khean Khoo, Tze-Minn Mak, La Moe, Anne-Claire Stona, Junxiong Pang, Muhd Haziq Fikry Haji Abdul Momin, Afreenish Amir, Lucia Rizka Andalucia, Ghows Azzam, Savuth Chin, Thanat Chookajorn, Govindakarnavar Arunkumar, Do Thai Hung, Aamer Ikram, Runa Jha, Erik A. Karlsson, Mai Quynh Le Thi, Surakameth Mahasirimongkol, Gathsaurie Neelika Malavige, Jessica E. Manning, Syarifah Liza Munira, Nguyen Vu Trung, Imran Nisar, Firdausi Qadri, Farah Naz Qamar, Matthew T. Robinson, Cynthia P. Saloma, Swe Setk, Tahmina Shirin, Le Van Tan, Timothy John R. Dizon, Ravindran Thayan, Hlaing Myat Thu, Hasitha Tissera, Phonepadith Xangsayarath, Zainun Zaini, John C. W. Lim, Sebastian Maurer-Stroh, Gavin J. D. Smith, Lin-Fa Wang, Paul Pronyk,

Food Bioprocessing

24 September 2024

Getchell, M., Wulandari, S., de Alwis, R., Agoramurthy, S., Khoo, Y. K., Mak, T.-M., Moe, L., Stona, A.-C., Pang, J., Momin, M. H. F. H. A., Amir, A., Andalucia, L. R., Azzam, G., Chin, S., Chookajorn, T., Arunkumar, G., Hung, D. T., Ikram, A., … Jha, R. (2024). Pathogen genomic surveillance status among lower resource settings in Asia. Nature Microbiology, 9(10), 2738–2747. https://doi.org/10.1038/s41564-024-01809-4

Microalgae holds significant potential for sustainable food production, presenting challenges and opportunities. This review presents the key obstacles in microalgal bioprocessing, including cultivation methods optimisation, inconsistent biomass yields, high production costs, and stability of valuable compounds during processing. The gap in sustainable aspects of microalgae bioprocessing for food production is highlighted. Integrating omics technologies with microalgal bioprocessing can enhance the understanding of the cultivation process and improve microalgal yield and quality. When combined with advanced computational tools such as machine learning, digital twin technology, and process optimisation techniques, these approaches can significantly accelerate the adoption of circular economy principles in sustainable food production. Open databases and user-friendly software tools can lower learning barriers, encouraging broader microalgae research and development. Through interdisciplinary collaboration and innovation, microalgae can emerge as key players in sustainable food production, driving innovation and efficiency.

Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

This research is supported by core funding from: ASTAR - Bioinformatics Institute (BII).

https://oar.a-star.edu.sg/communities-collections/articles/22203

2058-5276

Bioinformatics Institute

https://doi.org/10.1038/s41564-024-01809-4