Other Countries Partnering Awards (Peru): New Extremozymes for Renewable Feedstock Fractionation and Valorisation

Lead Research Organisation: University College London
Department Name: Biochemical Engineering

Abstract

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Description The original objectives of the award are listed below along with what has been achieved:

- To identify and characterise novel Peruvian extremozymes (pectinases, cellulases and proteases) for the fractionation of UK-based renewable feedstocks such as sugar beet pulp (SBP) and spent distillers' grains (DG).

We obtained the sequence of two metagenomes, one from Pilluana (Peruvian Amazon) and one from Maras (Peruvian highlands). These are now resources being used for bioinformatics studies in a continuation PhD project at UCL. We also isolated and sequeced one Pseudomonas sp genome from the Maras samples and undertool full characterization of three extracellular proteases from this organism resulting in one publication.

Since the 2019 update we have also identified, cloned and tested a number of novel thermostable pectinases. These show remarkable thermostability and are now being tested for enhanced sucrose release during sugar beet processing in collaboration with AB Sugar, UK

- To demonstrate the potential of the novel enzymes to produced enriched sugar and amino acid fractions from SBP and DG respectively than is currently possible.

In addition to the metagenomic analysis the isolation and microbiological characterisation of multiple strains (> 40) from the same Pilluana and Maras samples was undertaken in Peru. A number of these strains, notably one Pseudomonas strain was shown to be capable of growth on both sugar beet pulp and distillers grains. Molecular identification of theses strains is still on going.

- To establish a series of researcher exchanges and training activities to deliver the above objectives and build a long-term academic collaboration between the two institutions.

A number of researcher exchanges to/from the UK and Peru were undertaken as described elsewhere in Research Fish.
Exploitation Route The Peruvian researcher commenced a PhD programme at UCL in 2019 and is making use of the metagenomic information to identify and clone further enzymes of industrial relevance e.g. pectinases for use in sugar beet processing.
Sectors Chemicals,Energy,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology

 
Description As a direct result of this work a new Industrial Strategy Challenge Fund PhD project was commenced in October 2017 in collaboration with AB Sugar. This is investigating the use of enzymes to aid sucrose extraction and processing of sugar beet pulp. The metagenomes obtained from this BBSRC Parterning Award are being used as a resource to identify potentially novel pectinase enzymes. Most recently, AB Sugar have supported us with a new UKRI EPSRC Sustainable Manufacturing grant to take our work on sugar beet pulp further forward and specifically to investigate an alternative range of sugar beet pulp derived products. Details of new grant: Lye, G.J. (PI), Hailes, H.C., Ward, J.M., Gavriilidis, A., Tiwari, M., and Lettieri, P. Novel sustainable manufacturing technologies for efficient utilisation of agricultural waste streams in a circular economy (EP/W019132/1).
First Year Of Impact 2017
Sector Agriculture, Food and Drink,Chemicals,Environment,Manufacturing, including Industrial Biotechology
Impact Types Societal,Economic

 
Description Global Challenges Research Fund - Impact Acceleration Account
Amount £20,000 (GBP)
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 08/2016 
End 12/2016
 
Description Global Challenges Research Fund - Impact Acceleration Account
Amount £20,000 (GBP)
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 08/2016 
End 12/2016
 
Description NOVEL SUSTAINABLE MANUFACTURING TECHNOLOGIES FOR EFFICIENT UTILISATION OF AGRICULTURAL WASTE STREAMS IN A CIRCULAR ECONOMY
Amount £1,457,225 (GBP)
Funding ID EP/W019132/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2022 
End 12/2024
 
Description Peruvian Government PhD Scholarship
Amount £93,000 (GBP)
Organisation Government of Peru 
Sector Private
Country Peru
Start 01/2019 
End 12/2021
 
Description AB Sugar (enzymatically enhanced sucrose extraction from sugar beet) 
Organisation AB Sugar
Country United Kingdom 
Sector Private 
PI Contribution A follow on PhD project was funded by the National Productivity Invesment Fund in collaboratio with AB Sugar. This exploits some of the thermostable enzymes identified in this project which are currently being investigated to enhance sugar extraction.
Collaborator Contribution AB Sugar have provided the sugar beet feedstock, have shared data on their large scale operations and the impact they see of enzymatic pretreatment of sugar beet at large scale. They have also provided an opportunity for the student concerneed and the PI to visit their Wissington biorefinery and see the facility in operation.
Impact To date we have constructed an experimental scale-down diffuser model at UCL. This is currently being validated but could be transfered to AB Sugar to support their process development programme.
Start Year 2018
 
Description UNMSM: Universidad Nacional Mayor de San Marcos 
Organisation Laboratory of Molecular Biology
Country Spain 
Sector Academic/University 
PI Contribution This collaboration is part of a BBSRC International Partnering Award. The aim is to jointly explore for novel extremozymes to be used for the breakdown and processing of renewable feedstocks in the UK and in Peru.
Collaborator Contribution Identification of extreme environments in which to take samples for biological / metagenomic analysis for enzyme identification.
Impact A number of organisms from extreme environments expressing novel proteases and pectinases have been identified. The DNA of these organisms has been isolated and has now been sent for high throughput sequencing. Results awaited.
Start Year 2015