532 Emir. J. Food Agric ● Vol 30 ● Issue 7 ● 2018 Opportunities for computational biology uses in enhancement of bioproduct quality: Lessons from olive oil Karim Ennouri 1,2 *, Rayda Ben Ayed 3 , Slim Smaoui 2 1 Laboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, Tunisia, 2 Laboratory of Microorganisms and Biomolecules of the Center of Biotechnolgy of Sfax-Tunisia, Road of Sidi mansour, Km 6 B.P. 1117, 3018 Sfax-Tunisia, 3 Molecular and Cellular Screening Process Laboratory, Center of Biotechnology of Sfax, PB 1177, 3018 Sfax, Tunisia *Corresponding author: Karim Ennouri, Laboratory of Amelioration and Protection of Olive Genetic Resources, Olive Tree Institute, University of Sfax, Sfax, Tunisia. E-mail: 1karimennouri1@gmail.com Received: 17 April 2018; Accepted: 26 July 2018 INTRODUCTION Actually, olive oil biotechnology destines to modernize usual manufacturing in the years ahead, mostly owing to the brilliant evolution in our aptitude to engineering of cellular metabolism of plants (Atkinson and Mavituna, 1991). Then, most accomplishments of metabolic engineering have been employed in several industrial felds involved in olive fruit harvest and process. In this view, we highlight new tendencies in metabolic engineering and synthetic biology that illustrate the synthetic potential of molecules and pathway engineering for new product innovation (Purnick and Weiss, 2009). Indeed, the increased employ of bioinformatic devices to mine, arrange and examine biological data; and the raising sensibility and complexity of investigational devices will make the evolution of metabolic engineering and autocatalytic phenomenon. Inspired by these progresses, research teams across the world would take up the defy of secondary metabolite fabrication and modifcation of olive oil quality with regenerated dynamism, thus joining to the assortment of products synthesized during transformation and storage via metabolic engineering (Lee et al., 2015; Duthie et al., 2016). Bioprocess engineering has focused on the optimization of the production of bioproducts through biological transformations and changes. Predominantly, much importance has been positioned on evaluating and estimating the best process mode variables to enhance the production of the desired content (Ramli et al., 2014). More especially, researchers and scientists were obliged to employ detectable process variables, such as the feed supply speed of the bioreactor or as example the modifcation of oil physic-chemical composition in function of time. Moreover, optimization encloses the strict connexion between yield and productivity (Claes et al., 1999). Raised values of both metrics are required in manufacture and industry; however, the two metrics are in competition. Really, the appearance and the development of synthetic biology and bioinformatics also have permit biologists to expand the Consistent advance in genetic engineering has offered ascend to various promising felds of research that encouraged the development of twice industrial biotechnology and quality production. The discipline of metabolic engineering, which uses genetic devices, has had an especially solid effect by giving new stages to industrial biotechnology. Late improvements in life sciences guarantee to extend the metabolic engineering tool compartment assist by making novel natural parts for pathway plan. Moreover, synthetic biology represents an innovative concept for learning about and via biomolecules and data, with appliances in fundamental sciences, agriculture and biotechnology. The present review tends to a portion of the current advances in biological sciences and how these can possibly infuence bioproduct qualities as olive oil. A few cases of uses for modern sciences as bioinformatics and synthetic biology and metabolic engineering in life sciences and particularly in agronomy are additionally also discussed. Keywords: Engineering; Synthetic biology; Bioinformatics; Olive oil ABSTRACT Emirates Journal of Food and Agriculture. 2018. 30(7): 532-538 doi: 10.9755/ejfa.2018.v30.i7.1736 http://www.ejfa.me/ REVIEW ARTICLE