Bioinformational trends in grape and wine biotechnology. Issue 1 (January 2022)

• Record Type: Journal Article
• Authors: Dixon, Thomas A.; Williams, Thomas C.; Pretorius, Isak S.
• Is Part Of: Trends in biotechnology. Volume 40:Issue 1(2022)
• Page Start: 124
• Page End: 135
• Publication Date: 2022-01
• Subjects: bioinformational engineering -- creative destruction -- grape and wine biotechnology -- synthetic biology -- engineering biology; Biotechnology -- Periodicals; Biochemical engineering -- Periodicals; Genetic engineering -- Periodicals; Industrial microbiology -- Periodicals; 660.605
• DOI: 10.1016/j.tibtech.2021.05.001
• Languages: English
• ISSNs: 0167-7799

Abstract

Abstract : The creative destruction caused by the coronavirus pandemic is yielding immense opportunity for collaborative innovation networks. The confluence of biosciences, information sciences, and the engineering of biology, is unveiling promising bioinformational futures for a vibrant and sustainable bioeconomy. Bioinformational engineering, underpinned by DNA reading, writing, and editing technologies, has become a beacon of opportunity in a world paralysed by uncertainty. This article draws on lessons from the current pandemic and previous agricultural blights, and explores bioinformational research directions aimed at future-proofing the grape and wine industry against biological shocks from global blights and climate change. Highlights: Uncertainty caused by pandemics, global blights, and climate change, tends to heighten the focus on how biotechnological advances can mitigate challenges to public safety, cyberbio resilience, environmental sustainability, and bioeconomic security. Convergence of cyberbio technologies and high-throughput automation in biofoundries offers future-shaping bioinformational engineering opportunities with transformational potential to the wine industry. Consumer preferences, biosecurity, and bioethical considerations, must guide research directions and adoption of new bioinformational engineering technologies at the levels of both problem selection and experimental design.