
Dr Gary Barker
B.Sc.(E.Anglia), Ph.D.(Bristol)
Current positions
Senior Lecturer
School of Biological Sciences
Contact
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Research interests
My research interests involve the application of bioinformatics to environmental genomics and crop Single Nucleotide Polymorphism (SNP) datasets. My interest in environmental genomics dates back to my PhD and postdoctoral work on gene flow in algae and cyanobacteria. In recent years I worked in collaboration with Keith Edwards group at Bristol to generate useful SNP markers for hexaploid bread wheat. I developed pipelines to mine inter-varietal SNPs from exome-capture sequence data and we went on to develop two commercial genotyping arrays from the ~1 million putative SNPs we found. These arrays are now used extensively by UK wheat breeders to rapidly screen new breeding lines at an early stage for markers linked to useful traits such as disease resistance and their impact has been to drastically reduce the time taken to naturally breed new wheat varieties. The advent of Next Generation Sequencing technology for DNA has made population-scale analysis of microbial communities tractable in recent years, which has enabled me to re-visit this area of my research. I currently have an EU-funded project to investigate micro-fouling of marine surfaces in which we are using high throughput sequencing for the identification of both taxa and genes associated with different anti-fouling compounds. I am also collaborating on projects using the similar techniques to study the microbial colonisation of retreating glacial fore-fields (in collaboration with Alex Anesio) and of humans who have received a nasal flu vaccine (in collaboration with Adam Finn). I am also working with Juliet Brodie at the Natural History Museum and Chris Yesson at the Institute of Zoology to develop genotyping by sequencing and novel sonar-based survey methods for UK kelps. I currently have a PhD vacancy funded by the EU to develop bioinformatics approaches to mine novel genes from cold environments.
Projects and supervisions
Research projects
Designing Sustainable Wheat
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/04/2023 to 31/03/2028
Low cost DNA identification of crop varieties
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/02/2021 to 31/01/2023
Deigning Future Wheat ISP - WP4
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/04/2017 to 31/03/2023
Extension 22/23- Strategic Programme in Designing Future Wheat
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/04/2017 to 31/03/2022
ITN - MicroArctic: Microorganisms in Warming Arctic Environments - Alex Anesio
Principal Investigator
Managing organisational unit
School of Geographical SciencesDates
01/04/2016 to 31/03/2020
Thesis supervisions
Induction of Specific Gene Expression in Wheat Using a dCas9-Targeted VP64 Enhancer
Supervisors
Arctic microbial exploration: a bioinformatics approach
Supervisors
To introgress or not to introgress? Quantifying the expression and effectiveness of the 1RS/1BL introgression in a global sample of modern wheat varieties.
Supervisors
Utilizing high-density genotyping data for wheat improvement
Supervisors
Study of climate influence on natural microbial communities using global metagenome database
Supervisors
Development of high throughput SNP marker panels for genotyping of pathogenic bacteria
Supervisors
Metagenomic insights into microbial communities in proglacial landscapes
Supervisors
Investigating The Effects Of Titanium Nanoparticles On Freshwater Benthic Algae
Supervisors
Publications
Recent publications
26/05/2023Field assessment of genome-edited, low asparagine wheat
Plant Biotechnology Journal
CerealsDB
Plant Bioinformatics
The Use and Limitations of Exome Capture to Detect Novel Variation in the Hexaploid Wheat Genome
Frontiers in Plant Science
A taxon-wise insight into rock weathering and nitrogen fixation functional profiles of proglacial systems
Frontiers in Microbiology
Detecting SARS-CoV-2 variants with SNP genotyping
PLoS ONE