Challenge Based Molecular Tracking (MolTrack)

Lead Research Organisation: University of Aberdeen
Department Name: Sch of Medicine, Medical Sci & Nutrition

Abstract

Immediate agricultural interventions are required to address net zero, dietary and biodiversity challenges to deliver opportunities for a stronger and resilient economy, a healthier fairer society and to meet many of our sustainable development goals. Our current food production systems have resulted in a reduction in bio-, agribio- and dietary diversity (as well as other environmental issues), ultimately leading to imbalances in dietary molecules, which has contributed to substantial amounts of the world's population suffering from both malnutrition and non-communicable disorders at enormous economic cost. Crop selection, agronomic practice, land management, food production and processing are key variables, as we need to make the best use of our land, while reducing emissions from agriculture, producing high quality nutritious food, protecting the environment, while taking into account circularity. In practice, however, the effect of change, particularly employing disruptive technologies is difficult to measure across the food supply chain and the impact on the key challenges difficult to assess. We propose that soil, crop, livestock and human health and disease can be monitored by molecular tracking of these key nutrients and other food-related molecules, allowing practices that optimise diversity. This completely novel approach will develop a research base and dataset as proof-of-concept, which aims to have wide application across a number of settings both nationally and globally. The anticipated outcome is the successful delivery of a 'proof-of-concept' model capable of predicting the effect of disruptive changes to the food supply system in terms of molecular diversity and flow. We will identify valuable datasets, necessary input parameters, important disruptive technologies, gaps and barriers and deliver a network capable of applying this model on both a national and global level to address a wide range of agri-food systems. This project could deliver benefits to farmers and landowners looking to diversify practice to effectively deliver on dietary, climate and biodiversity targets, food and drink businesses looking to capitalise on novel opportunities and deliver a fit-for-purpose food supply system, third sector organisations with interests in meeting dietary, climate and biodiversity targets, the UK and global research community by increasing UK research capability, as well as foster international collaboration, policy teams by proactively informing on valuable technologies to support policy targets and wider society by delivering on our dietary, climate and biodiversity targets.

Technical Summary

Aberrant food production systems have resulted in a reduction in bio-, agribio- and dietary diversity (as well as other environmental issues), ultimately leading to imbalances in dietary molecules, which has contributed to substantial amounts of the world's population suffering from both malnutrition and non-communicable disorders at enormous economic cost. This project proposes to bring together truly interdisciplinary expertise across the food supply system to develop a pipeline of datasets to test agricultural technologies that will make best use of our landscape and agronomic practice to ensure that the correct balance of plant-derived dietary molecules are available as both feed and food, while safeguarding healthy soil regeneration and protecting our biodiverse natural capital. It will explore disruptive technologies and growing methods, offering new business opportunities such as exploiting underutilised lands and food crops. Crop selection, agronomic practice, land management, food production and processing are key variables, as we need to make the best use of our land, while reducing emissions from agriculture, producing high quality nutritious food, protecting the environment, while taking into account circularity. In practice, however, the effect of change, particularly employing disruptive technologies is difficult to measure across the food supply chain and the impact on the key challenges difficult to assess. We propose that soil, crop, livestock and human health and disease can be monitored by molecular tracking of these key nutrients and other food-related molecules, allowing practices that optimise diversity. This completely novel approach will develop a research base and dataset as proof-of-concept, which aims to have wide application across a number of settings both nationally and globally.

Publications

10 25 50
 
Description We have developed a (beta version) of a web-based model that visualises/links common metabolite data across unrelated experiments.
We have identified partners and datasets of value to the award.
Exploitation Route The model will be useful tool for academics to visualise/link common metabolite data across unrelated experiments. We will be able to apply this tool to other metabolite (and potentially microbiome) datasets. We are now looking to associating additional data (such as inputs, biological data) with this model.
Sectors Agriculture, Food and Drink

 
Description Collaboration with Animesh Acharjee (University of Birmingham) 
Organisation University of Birmingham
Country United Kingdom 
Sector Academic/University 
PI Contribution Animesh Acharjee invited to workshop to showcase modelling tools and technologies relevant to this award
Collaborator Contribution Support/Ideas regarding modelling tools and technologies relevant to this award
Impact Relevant modelling tools
Start Year 2022
 
Description Collaboration with Duncan Cameron (University of Manchester) 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution Reached out to Duncan Cameron to co-host workshop in NW England
Collaborator Contribution Duncan Cameron has agreed to co-host workshop in NE England.
Impact None Yet
Start Year 2023
 
Title Web-based statistical model to visualise/link datasets (beta version) 
Description Development of web-based statistical model to visualise/link datasets of similar metabolites from different experiments 
Type Of Technology Webtool/Application 
Year Produced 2023 
Impact Showcased at workshops. Not currently launched. 
 
Description Hosted Scottish Metabolomics Network Meeting 2022 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Hosted the Scottish metabolomics Network Meeting 2022 bringing together academics from across Scotland (with guest speakers from the MRC-funded MAP-UK project and the Nordic metabolomics Society) working on metabolite analysis. Was an ideal opportunity to identify partners and dataset relevant to this award.
Year(s) Of Engagement Activity 2022
 
Description Workshop to identify partners and datasets relevant to this award 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Hosted a workshop to identify partners and datasets relevant to this award
Year(s) Of Engagement Activity 2022
 
Description Workshop to identify partners and datasets relevant to this project 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Third sector organisations
Results and Impact Disseminated project objectives at workshop aimed at third sector organisation (predominantly around land use) for feedback on objectives and to identify valuable partners or datasets relevant to this project.
Year(s) Of Engagement Activity 2022