Earlham Institute UKRI Innovation Fellowships: BBSRC Flexible Talent Mobility Accounts

Lead Research Organisation: Earlham Institute
Department Name: Directorate Office

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
 
Description We have developed new software for use in personalized medicine which ioverlays SNP data onto gene networks (iSNP)
Our single cell analysis work has beed used for preliminary data for a successful wellcome Trust fellowship.
We have also developed tools for the analysis of insect microbiomes that is being applied to the development of insect protein for animal feed.
We have made links with academic and industrial collaborators in Germany to develop genomic tools to study immunity genes in Sugar Beet
Exploitation Route These various project have built strong links with industry and international groups and they will continue after the award.
Sectors Agriculture, Food and Drink,Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology

 
Description We have used this funding to develop new collaborations with industry as well as academic groups internationally. We have developed pipeline for the analysis of microbiomes that affect productivity in the food industry. Developed new software for the integration of data that can be applied to personalised medicine - this software is being developed for a spinout.
First Year Of Impact 2018
Sector Agriculture, Food and Drink,Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology
 
Description Membership of Future Leaders Fellowship Panel
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
 
Description Unravelling key regulators of thrombopoiesis using a novel RNA based clonal and molecular approaches
Amount £300,000 (GBP)
Funding ID 213731/Z/18/Z 
Organisation Wellcome Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 05/2019 
End 05/2023
 
Title Sherlock - big data analytics platform for bioinformatics data 
Description The Sherlock tool is utilizing standard, open source big data technologies (like S3, Presto and docker) in order to execute simple analytical SQL queries on top of the integrated bioinformatics data organized into an S3-based data lake. 
Type Of Material Data analysis technique 
Year Produced 2019 
Provided To Others? No  
Impact The method will help to increase the productivity of data heavy bioinformatics projects, easing the data cleaning, filtering and integration related tasks which are usually the first steps in each complex bioinformatics pipeline. Github link : https://github.com/NetBiol/sherlock 
 
Description Collaboration: Evolvability of constrained systems - the effects of genome duplication in a ligand-receptor model 
Organisation Okinawa Institute of Science and Technology
Country Japan 
Sector Academic/University 
PI Contribution We hosted Stefano Pascarelli (Okinawa Institute of Science and Technology, Japan) for two months (Sept to Nov 2018) to work on a collaborative project looking at the evolvability of constrained systems. Owing to our expertise in vertebrate genomics and molecular evolution, we were able to share fish genomic data generated as part of other ongoing projects for the purpose of studying the effects of genome duplication in a ligands-receptor model in vertebrate genomes, fishes in particular. Furthermore, the use of our high-performance computing was beneficial for reconstructing large phylogenies and multiple sequence alignments.
Collaborator Contribution Given Stefano's experience of protein engineering and evolution, he could apply techniques to 1) Analyse the evolution of EGFR in vertebrates using phylogentic approaches; 2) analyse the structural comparison of EGFR 3D models of duplicated vertebrate genes; and 3) analyses of the molecular docking for PPI prediction of the previous point models with human ligands.
Impact This is a multi-disciplinary colloboration leveraging genomic, proteomic and transcriptomic data and using systems biology, phylogenetic and molecular evolution techniques to study the EGFR ligand system and it's evolution in vertebrates. As such, the collaboration formed a vital aspect of Stefano's PhD thesis (which he successfully defended) and involved the analysis of EGFR duplications across fish lineages and it's impact on phenotypic diversity. Furthermore, it has enabled him to develop hypothesis and aims for future collaborative grant applications aimed at unveiling the functional novelty produced by gene duplication. This will involve better understanding the molecular traces of evolution at the fine-grained, functional protein residue level in a system of duplicated genes.
Start Year 2018
 
Description KWS Harnessing wild sugar beet diversiy 
Organisation KWS Group
Country Germany 
Sector Private 
PI Contribution Knowledge of the wild and agricultural beet rust pathosystem combined with NGS expertise meant that we could put together PhD proposal which offered an opportunity to be able to develop new methods which could help identify novel pathogen resistance directly in wild hosts.
Collaborator Contribution KWS provided input to the project design have promised significant resource (cost and in kind) to allow controlled trials and sequencing to take place. KWS have also granted access to the use of their labs for cloning and other biotechnology.
Impact This collaboration resulted in a successful PhD iCASE application which will begin later 2019.
Start Year 2018
 
Description Livestock gut microbiome 'fingerprinting' with Entomics 
Organisation Entomics Biosystems
Country United Kingdom 
Sector Private 
PI Contribution We have been working with Entomics to apply nanopore sequencing and metagenomic analysis approaches to understanding salmon fish microbiomes and the effect of different feeding regimes. We have brought nanopore sequencing and bioinformatics knowledge to the partnership.
Collaborator Contribution Entomics have expertise in developing livestock feeds
Impact Sequencing datasets and preliminary analysis. An application for further funding from the FTM to expand the research.
Start Year 2018
 
Description Feature article on genomics in the Easton Daily Press 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact The Article was to cover the research activity at the Earlham Institute and at the Norwich Research park and how it would impact the general public
Year(s) Of Engagement Activity 2019
 
Description Invited speaker Nordic Beet Research (Denmark) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Invited to the the NBR in Denmark to discuss how ash dieback invasions can teach us about how agricultural pathogen invaders in sugar beet rust.
Year(s) Of Engagement Activity 2018
 
Description Invited speaker: Aarhus University (Denmark) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Invited to the Aarhus University departmental seminar series to talk about ash dieback invasions and sugar beet rust experiments.
Year(s) Of Engagement Activity 2018