Engineering Synthetic Microbial Communities for Biomethane Production

Lead Research Organisation: UNIVERSITY OF EXETER
Department Name: Engineering Computer Science and Maths

Abstract

Complex microbial communities underlie natural processes such as global chemical cycles and digestion in higher animals, and are routinely exploited for industrial scale synthesis, waste treatment and fermentation. Our basic understanding of the structures, stabilities and functions of such communities is limited, leading to the declaration of their study as the next frontier in microbial ecology, microbiology, and synthetic biology. Focusing on biomethane producing microbial communities (BMCs), we will undertake a two-tiered approach of optimising natural communities and designing synthetic communities with a focus on achieving robust, high-yield biomethane production. Within this biotechnological framework, our proposal will address several fundamental scientific questions on the link between the structure and function of microbial communities.
To ensure success in this challenging project, we assembled the strongest possible interdisciplinary research team that combines significant practical and scientific expertise in microbial ecology and evolution, systems modelling, molecular microbiology, bioengineering, genomics, and synthetic biology.
We are confident that this team will deliver and that this project will result in significant impact in the scientific and industrial domains. Through our work, described in detail below, we will; significantly improve the current understanding of the structure-function relation in microbial communities, provide the scientific community with a systematic, temporal genomics and transcriptomics dataset on complex microbial communities, develop novel computational tools for microbial community (re)design, and experimentally build synthetic BMCs that will act as model ecosystems in different research fields. These scientific developments, in turn, will accumulate in the development of more sustainable bioenergy solutions for the UK economy by optimising the communities underlying biomethane production. This will help to drive the efficiency of biomethane as an alternative fuel source.

Technical Summary

We will employ both top-down (directed evolution) and bottom-up (synthetic biology) engineering of biomethane producing microbial communities (BMCs) with improved functionality. These two approaches are connected via the resulting BMCs, which will be further analysed in mid-scale reactors with the aim to impact biotechnological application of microbial communities.

Directed evolution of BMCs. We will combine our expertise in experimental evolution with applied expertise in biomethane production to use group selection on naturally derived BMCs to improve their biomethane productivity. Using the expertise and the infrastructure at TGAC, we will employ next generation sequencing to determine how communities change in response to selection, and whether significant evolutionary change has occurred in the transcriptomes of focal species. Our core experimental evolution setup will use 60 mini reactors to set up independent batch cultures, where biomethane production can be measured in real-time by automated monitoring of gas volume.

Rational engineering of synthetic BMCs. We will combine our expertise in kinetic modelling and flux balance analysis (FBA) with molecular biology to rationally design and experimentally implement synthetic BMCs. The starting point for both FBA and experimental work will be an existing co-culture that is capable of converting lactate into methane. The engineered communities and their temporal behaviour will be analysed using genomics and transcriptomics approaches.

Testing and scaling up of (re)engineered BMCs. We will test the performance and stability of evolved and synthetic BMCs under industrially realistic conditions in mid-scale reactors using our expertise and lab infrastructure in process engineering. For this task, we will use both anaerobic membrane reactors (AnMBRs), which allow for the maintenance of BMCs in the reactor without "washout" and more commonly used continuously stirred tank

Planned Impact

In line with national and international policy, this research aims to produce a step change in the efficient production of biomethane, a key renewable energy source. This, in turn, will impact on government and industrial end users, who have clearly articulated their requirements for improvements in yield and reliability of biomethane production. At the scientific level, the relations between structure, composition and function in microbial communities is at the heart of several unresolved questions in the fields of microbial ecology and evolution, microbiology and synthetic biology.

1. Academic Communities
Impact on Existing Communities. This research will benefit systems microbiologists by generating a more complete understanding of the interactions found in complex microbial communities and synthetic biologists by developing improved tools and approaches for the manipulation of microbial communities. These tools will be applicable to biomethane production but will also be of interest for the production of biofuels or bio-products by accommodating bacteria into a stable productive community. In addition, our proposed research will provide the scientific community with an unprecedented data set on the composition and structure of complex microbial communities and provide novel computational tools for their study.

Educational Impact. Today's scientific challenges require bringing together scientists from diverse fields and educating younger scientists in a genuinely cross-disciplinary fashion. Being a truly integrative project that amalgamates theory and experiment towards achieving a better understanding of complex microbial communities, the proposed research will provide an ideal setting for the development of the participating staff and PhD students, and will excite a new generation of scientists.

2. Industrial Communities
The innovative nature of this project and the economic and regulatory drivers related to biomethane production have already created strong interest from industry. We have engaged end users in the development of this proposal, primarily through an industrial liaison workshop held in Exeter in December 2011. Most attendees of this workshop, as well as several other industrial companies are now members of our advisory board (AB); major users of biomethane production, SME technology development companies, and a regional industry network. There is strong interest in the potential for future commercial exploitation of the proposed basic research, and we will actively seek to pursue opportunities for commercial industrial collaborations during and post-project.

3. Policy and Society
Impact on Policy. The close link between government priorities on renewable energy and greenhouse gas emission, and biomethane production through anaerobic digestion is explicitly recognised in the DECC Strategy and Action Plan, 2011. The Government has set targets to recycle 50% of household waste by 2020, reduce greenhouse gas emissions to 34% below 1990 levels by 2020 and by 80% by 2050, and achieve greater energy security. The related regulations and innovation stimulation packages developed by the Government, heavily influences the anaerobic digestion bioindustry. Recognising this link, we have already sought advice on engagement with DECC, and following this advice, we will provide them with research briefing papers as results are made available.

Social Impact. The proposed research is extremely timely and of significant social relevance since it addresses an important aspect of a "daily" challenge, namely eco-friendly and sustainable energy production. We will capitalise on this and use the project as a way to engage with the public and funding bodies and offer collaborative opportunities to think in innovative and informed ways about systems biology, synthetic biology and microbial biotechnology.

Publications

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Benarroch J (2020) The Microbiologist's Guide to Membrane Potential Dynamics in Trends in Microbiology

 
Title Additional file 10: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S6. Phylogenetic relationship of 67 C. burnetii isolates based on partial genome content. A) Core genome-based tree determined by Roary, B) Core genome-based tree determined by BPGA, C) Accessory (binary) genome-based tree determined by Roary, and D) Pan genome-based tree determined by BPGA. Newick outputs of both BPGA and Roary pipelines were used to draw trees using FigTree, and Genomic Groups were color coded. All trees were rooted along the branch leading to GG IV (see Methods). (TIF 3891 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_10_of_Extensive_genome_analysis_of_Coxi...
 
Title Additional file 10: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S6. Phylogenetic relationship of 67 C. burnetii isolates based on partial genome content. A) Core genome-based tree determined by Roary, B) Core genome-based tree determined by BPGA, C) Accessory (binary) genome-based tree determined by Roary, and D) Pan genome-based tree determined by BPGA. Newick outputs of both BPGA and Roary pipelines were used to draw trees using FigTree, and Genomic Groups were color coded. All trees were rooted along the branch leading to GG IV (see Methods). (TIF 3891 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_10_of_Extensive_genome_analysis_of_Coxi...
 
Title Additional file 12: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S7. New gene plots after BPGA pan-genome subset analysis using groups of isolates according to their genomic group associations. Proteins annotated using PROKKA were used as input files. The protein similarity threshold for protein clustering was 90%. Genomic groups were assigned as seen in Fig. 1. Note that â newâ genes represent polymorphic variants due to the presence of SNPs in existing genes rather than newly acquired genes. (TIF 404 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_12_of_Extensive_genome_analysis_of_Coxi...
 
Title Additional file 12: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S7. New gene plots after BPGA pan-genome subset analysis using groups of isolates according to their genomic group associations. Proteins annotated using PROKKA were used as input files. The protein similarity threshold for protein clustering was 90%. Genomic groups were assigned as seen in Fig. 1. Note that â newâ genes represent polymorphic variants due to the presence of SNPs in existing genes rather than newly acquired genes. (TIF 404 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_12_of_Extensive_genome_analysis_of_Coxi...
 
Title Additional file 5: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S1. Phylogenetic relationship of 76 sequenced C. burnetii isolates based on core-SNPs. SNP-based phylogenetic relationship (left-hand side) and SNP density plot (right hand side) of all available C. burnetii genomes established with Parsnp and visualized with Gingr. SNPs are highlighted in magenta in the density plot, whereas highly conserved regions are highlighted with grey shading. The tree was rooted along the branch leading to GG IV (see Methods). (TIF 6933 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_5_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 5: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S1. Phylogenetic relationship of 76 sequenced C. burnetii isolates based on core-SNPs. SNP-based phylogenetic relationship (left-hand side) and SNP density plot (right hand side) of all available C. burnetii genomes established with Parsnp and visualized with Gingr. SNPs are highlighted in magenta in the density plot, whereas highly conserved regions are highlighted with grey shading. The tree was rooted along the branch leading to GG IV (see Methods). (TIF 6933 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_5_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 6: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S2. Novel SNP profiles and their position within the adaA region. SNP profiles (A) and sequence alignment of the in silico generated adaA regions (B) were obtained after progressive MAUVE alignment using strain RSA493 (GG I) as a reference. SNPorig = GG II-a, SNPV2 = GG II-b, SNPV3 = GG III. Note that the original SNP within the adaA CDS described by Frangoulidis et al. (PLoS ONE 8:e53440, 2013, doi: 10.1371/journal.pone.0053440) corresponds to position 2097 in the adaARef. region. Unique, identifying SNPs are highlighted as colored vertical lines in panel B). (TIF 1293 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_6_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 6: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S2. Novel SNP profiles and their position within the adaA region. SNP profiles (A) and sequence alignment of the in silico generated adaA regions (B) were obtained after progressive MAUVE alignment using strain RSA493 (GG I) as a reference. SNPorig = GG II-a, SNPV2 = GG II-b, SNPV3 = GG III. Note that the original SNP within the adaA CDS described by Frangoulidis et al. (PLoS ONE 8:e53440, 2013, doi: 10.1371/journal.pone.0053440) corresponds to position 2097 in the adaARef. region. Unique, identifying SNPs are highlighted as colored vertical lines in panel B). (TIF 1293 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_6_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 7: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S3. Summary of genotyping and phylogenetic analyses. The ParSNP tree obtained after whole-genome alignment (see Fig. 1) was complemented with data from in silico plasmid typing, Acute Disease Antigen A (adaA) typing, and Multi-Spacer Sequence (MST) typing. Assumed or published data (shown in brackets) was used when typing results were inconclusive or data was missing. (TIF 2679 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_7_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 7: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S3. Summary of genotyping and phylogenetic analyses. The ParSNP tree obtained after whole-genome alignment (see Fig. 1) was complemented with data from in silico plasmid typing, Acute Disease Antigen A (adaA) typing, and Multi-Spacer Sequence (MST) typing. Assumed or published data (shown in brackets) was used when typing results were inconclusive or data was missing. (TIF 2679 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_7_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 8: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S4. Phylogenetic relationship between MST20 (GG III) isolates. A maximum-parsimony tree was reconstructed based on 82 SNPs defined by Olivas et al. (Microb. Genom. 2016, 2(8):e000068) using RSA493 as a reference and to root the tree. MST20 sub-genotypes (GT_20.1-3) as defined by Olivas et al. are colour coded. (TIF 301 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_8_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 8: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S4. Phylogenetic relationship between MST20 (GG III) isolates. A maximum-parsimony tree was reconstructed based on 82 SNPs defined by Olivas et al. (Microb. Genom. 2016, 2(8):e000068) using RSA493 as a reference and to root the tree. MST20 sub-genotypes (GT_20.1-3) as defined by Olivas et al. are colour coded. (TIF 301 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_8_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 9: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S5. Core-Pan-genome plots and gene frequency plots for 67 C. burnetii genomes. Proteins annotated using PROKKA were used as input files for BPGA (A&C) and Roary (B&D) pan-genome analyses. The protein similarity threshold for protein clustering was 90% in all cases. Core-Pan-genome plots (A&B) and gene frequency plots (C&D) are shown. (TIF 368 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_9_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 9: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Figure S5. Core-Pan-genome plots and gene frequency plots for 67 C. burnetii genomes. Proteins annotated using PROKKA were used as input files for BPGA (A&C) and Roary (B&D) pan-genome analyses. The protein similarity threshold for protein clustering was 90% in all cases. Core-Pan-genome plots (A&B) and gene frequency plots (C&D) are shown. (TIF 368 kb) 
Type Of Art Film/Video/Animation 
Year Produced 2019 
URL https://springernature.figshare.com/articles/Additional_file_9_of_Extensive_genome_analysis_of_Coxie...
 
Description Please see key finding of BBSRC grant BB/K003240/2.
Exploitation Route Please see BBSRC grant BB/K003240/2
Sectors Agriculture

Food and Drink

Energy

Environment

Other

URL https://warwick.ac.uk/fac/sci/lifesci/research/slola
 
Description Please see Impact Summary of BBSRC grant (BB/K003240/2)
Sector Agriculture, Food and Drink,Energy,Other
Impact Types Policy & public services

 
Description BEE BBSRC spotlight area 2022
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
URL https://www.ukri.org/news/bbsrc-launches-new-responsive-mode-spotlight-pilot/
 
Description Anaerobic Digestion Network
Amount £705,651 (GBP)
Funding ID BB/L013835/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 02/2014 
End 01/2019
 
Description BBSRC AD Network BIV
Amount £10,000 (GBP)
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Department Anaerobic Digestion Network (AD Network)
Sector Academic/University
Country United Kingdom
Start 03/2017 
End 07/2017
 
Description BBSRC AD Network POC
Amount £59,970 (GBP)
Funding ID POC2016012 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Department Anaerobic Digestion Network (AD Network)
Sector Academic/University
Country United Kingdom
Start 08/2017 
End 02/2018
 
Description BBSRC Impact Acceleration Account (IAA)
Amount £149,790 (GBP)
Funding ID BB/S506783/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 05/2018 
End 03/2021
 
Description Technology and Resource Development Fund
Amount £151,448 (GBP)
Funding ID BB/N023285/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 06/2016 
End 09/2017
 
Description Understanding the origin and evolution of metabolic interactions using synthetic microbial communities
Amount £939,000 (GBP)
Funding ID BB/T010150/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 08/2019 
End 09/2023
 
Title Additional file 1: Table S1. of Genomic dissection of the 1994 Cronobacter sakazakii outbreak in a French neonatal intensive care unit 
Description SNP analysis of strains giving co-ordinate and substitution for each isolate relative to the reference strain. (XLSX 35Â kb) 
Type Of Material Database/Collection of data 
Year Produced 2015 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_1_Table_S1_of_Genomic_dissectio...
 
Title Additional file 1: Table S1. of Genomic dissection of the 1994 Cronobacter sakazakii outbreak in a French neonatal intensive care unit 
Description SNP analysis of strains giving co-ordinate and substitution for each isolate relative to the reference strain. (XLSX 35Â kb) 
Type Of Material Database/Collection of data 
Year Produced 2015 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_1_Table_S1_of_Genomic_dissectio...
 
Title Additional file 3: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S1. Details of B. thailandensis strain E555 genes and proteins. (XLSX 6051 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_3_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 3: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S1. Details of B. thailandensis strain E555 genes and proteins. (XLSX 6051 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_3_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 4: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S2. Gene expression results and details of the genes subjected to RT-qPCR analysis. (XLSX 15 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_4_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 4: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S2. Gene expression results and details of the genes subjected to RT-qPCR analysis. (XLSX 15 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_4_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 4: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Data File S1. Raw data for in silico MST genotyping and pan-genome analyses. Data Sheets A) Strain Overview; B) In silico MST genotyping results; C) Gene Sequence Identity Scores; D) BPGA results _ all strains; E) BPGA results _ Genomic-Group-specific proteins; F) Scoary output _ pan-GWAS significant associations; G) snippy output_merged vcf file; H) ParSNP output _ vcf file; I) MST20_SNP_Matrix. (XLSX 12334 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_4_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 4: of Extensive genome analysis of Coxiella burnetii reveals limited evolution within genomic groups 
Description Data File S1. Raw data for in silico MST genotyping and pan-genome analyses. Data Sheets A) Strain Overview; B) In silico MST genotyping results; C) Gene Sequence Identity Scores; D) BPGA results _ all strains; E) BPGA results _ Genomic-Group-specific proteins; F) Scoary output _ pan-GWAS significant associations; G) snippy output_merged vcf file; H) ParSNP output _ vcf file; I) MST20_SNP_Matrix. (XLSX 12334 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_4_of_Extensive_genome_analysis_of_Coxie...
 
Title Additional file 5 of Islet-expressed circular RNAs are associated with type 2 diabetes status in human primary islets and in peripheral blood 
Description Additional file 5. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_5_of_Islet-expressed_circular_RNAs_are_...
 
Title Additional file 5 of Islet-expressed circular RNAs are associated with type 2 diabetes status in human primary islets and in peripheral blood 
Description Additional file 5. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_5_of_Islet-expressed_circular_RNAs_are_...
 
Title Additional file 5: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S3. Transcripts detected in vitro and in vivo. (XLSX 2144 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_5_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 5: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S3. Transcripts detected in vitro and in vivo. (XLSX 2144 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_5_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 6: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S4. Proteins detected in vitro and in vivo. (XLSX 1095 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_6_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 6: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S4. Proteins detected in vitro and in vivo. (XLSX 1095 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_6_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 7: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S5. Significantly regulated genes, capsule expression and all expression data. (XLSX 2279 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_7_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 7: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S5. Significantly regulated genes, capsule expression and all expression data. (XLSX 2279 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_7_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 8: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S6. Known virulence genes. (XLSX 208 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_8_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 8: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S6. Known virulence genes. (XLSX 208 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_8_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 9: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S7. Lists of genes in each group shown in Table 2. (XLSX 321 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_9_of_Burkholderia_thailandensis_strain_...
 
Title Additional file 9: of Burkholderia thailandensis strain E555 is a surrogate for the investigation of Burkholderia pseudomallei replication and survival in macrophages 
Description Table S7. Lists of genes in each group shown in Table 2. (XLSX 321 kb) 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/Additional_file_9_of_Burkholderia_thailandensis_strain_...
 
Title Data from: Resource heterogeneity and the evolution of public-goods cooperation 
Description Heterogeneity in resources is a ubiquitous feature of natural landscapes affecting many aspects of biology. However, the effect of environmental heterogeneity on the evolution of cooperation has been less well studied. Here, using a mixture of theory and experiments measuring siderophore production by the bacterium Pseudomonas aeruginosa as a model for public-goods based cooperation, we show that cooperation in metapopulations that were spatially heterogeneous in terms of resources can be maintained at a higher level than in homogeneous metapopulations of the same average resource value. The results can be explained by a positive covariance between fitness of cooperators, population size and resource availability, which allowed cooperators to have a disproportionate advantage within the heterogeneous metapopulations. These results suggest that natural environmental variation may help to maintain cooperation. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
URL http://datadryad.org/stash/dataset/doi:10.5061/dryad.rbnzs7h77
 
Title MI-Sim 
Description A MATLAB package for the numerical analysis of microbial ecological interactions 
Type Of Material Computer model/algorithm 
Year Produced 2017 
Provided To Others? Yes  
Impact The publication has had over 3000 views and has been cited twice. 
URL https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0173249#ack
 
Title MetQy 
Description MetQy is a R package to ease interfacing with the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to query metabolic functions of genes and genomes 
Type Of Material Computer model/algorithm 
Year Produced 2017 
Provided To Others? Yes  
Impact None to report 
URL https://academic.oup.com/bioinformatics/article/34/23/4134/5033387
 
Title Micodymora 
Description Micodymora is a python package allowing to simulate Ordinary Differential Equations (ODE) models of microbial population dynamics, while providing gas/liquid transfer and acide/base equilibria as additional features 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? Yes  
Impact None as yet 
URL https://github.com/OSS-Lab/micodymora
 
Title On the genetic architecture of rapidly adapting and convergent life history traits in guppies 
Description The genetic basis of traits shapes and constrains how adaptation proceeds in nature; rapid adaptation can be facilitated by polygenic traits, which subsequently provide multiple, redundant, genetic routes to adaptive phenotypes, reducing re-use of the same genes (genetic convergence). Guppy life history traits evolve rapidly and convergently among natural high- (HP) and low-predation (LP) environments in northern Trinidad. This system has been studied extensively at the phenotypic level, but little is known about the underlying genetic architecture. Here, we use an F2 QTL design to examine the genetic basis of seven (five female, two male) guppy life history phenotypes to assess whether the genetic architecture of these traits reflects theoretical predictions. We use RAD-sequencing data (16,539 SNPs) from 370 male and 267 female F2 individuals. We perform linkage mapping, estimates of genome-wide and per-chromosome heritability (multi-locus associations), and QTL ma pping (single-locus associations). Our results are consistent with architectures of many-loci of small effect for male age and size at maturity and female interbrood period. Male trait associations are clustered on specific chromosomes, but female interbrood period exhibits a weak genome-wide signal suggesting a potentially highly polygenic component. Offspring weight and female size at maturity are also associated with a single significant QTL each. These results suggest rapid phenotypic evolution of guppies may be facilitated by polygenic trait architectures, but these could fuel redundancy and limit gene re-use across populations, in agreement with an absence of strong signatures of genetic convergence from recent population genomic analyses of wild HP-LP guppies. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
URL http://datadryad.org/stash/dataset/doi:10.5061/dryad.w3r2280sk
 
Description SIAM 
Organisation Soehngen Institute of Anaerobic Microbiology
Country Netherlands 
Sector Private 
PI Contribution The sLola research team plus other PDRAs from the Soyer group visited the Netherlands for a research exchange workshop with researchers from the SIAM research program. Research talks and poster presentations were given at the workshop as well as participation in round table discussions on Anaerobic digestion microbiology topics and potentials for future collaboration.
Collaborator Contribution The SIAM group hosted the workshop and also gave research talks and poster presentations and participated in round table discussions on Anaerobic digestion microbiology topics and potentials for future collaboration.
Impact None to report yet.
Start Year 2017
 
Title MicrobeMeter 
Description MicrobeMeter is a high-resolution photometer with continuous measurement and wireless capabilities. It allows measuring of microbial growth dynamics, as used in many disciplines of life sciences, such as molecular biology, systems biology and synthetic biology. 
IP Reference  
Protection Copyrighted (e.g. software)
Year Protection Granted 2018
Licensed No
Impact more than 50 units sold. Manuscript describing the blueprint of the MicrobeMeter on bioRxix has been downloaded 2373 (https://www.biorxiv.org/content/10.1101/407742v1.article-metrics).
 
Description AAAS annual meeting - invited talk 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact I was invited speaker at the annual meeting of the American Association of the Advancement of Science (AAAS).
Year(s) Of Engagement Activity 2020
URL https://www.aaas.org/events/2020-aaas-annual-meeting
 
Description AD Monitoring Project Stakeholder Meeting 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact An online meeting was held with key industrial participants of this project. Results of the project were clearly presented together with plans to publish the data. Also discussed were options for applying for future funding with industrial support.
Year(s) Of Engagement Activity 2021
 
Description Bio-electrical engineering BBSRC showcase 
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 47 participants from the Bio electrical engineering community got together to discuss the latest academic findings in the emerging field of bioelectricity together with potential industrial applications of bioelectrical engineering.
Year(s) Of Engagement Activity 2023
 
Description Isaac Newton Institute Workshop on Microbial communities: current approaches and open challenges 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This is a 4-month residential workshop we have organised at the Isaac Newton Institute. It aimed to assess the state of the microbial communities research field and resulted in significant impact on the development of the field.

The 2022 follow on workshop took place over four days and included 20 invited and 25 contributed talks that covered broad and recent topics in microbial community research.
Year(s) Of Engagement Activity 2014,2015,2022
URL https://www.newton.ac.uk/event/umc/