BBSRC-NSF/BIO - The impact of public versus private metabolism on the stability of microbial communities within natural hosts
Lead Research Organisation:
UNIVERSITY OF EXETER
Department Name: Biosciences
Abstract
Why do microorganisms engage in cooperative nutrient consumption that is open to exploitation when an exploitation-free alternative is available? Our proposal will answer this fundamental yet unanswered question through a combination of synthetic biology, mathematical modelling and in vivo microbial community experiments.
Microorganisms play crucial roles in ecosystem functioning and the health of macro organisms. They form beneficial relationships with multicellular organisms, in environments ranging from animal guts to soil, and can be exploited to degrade industrial waste or produce useful chemicals. But they can also cause devastating damage by destroying our food sources and eliminating key plant species, thus preventing the absorption of hundreds of megatonnes of CO2.
Microorganisms do not exist in isolation, instead they form intricate communities of diverse strains and species where individuals participate in complex cooperative and competitive interactions. However, we lack a comprehensive understanding of how these interactions alter the function and stability of the community. This is crucial for predicting the evolution of microbial strategies that promote survival and growth in natural environments.
To survive and thrive, microorganisms must obtain nutrients from their environment and cooperative and competitive actions are key to the way that microbes feed. A common strategy to obtain nutrients involves secreting metabolic products into the external, "public" environment to break down or capture resources, before they are taken up into the cell. The metabolic products are considered to be cooperative public goods as they are generated externally and so benefit other cells in the shared environment. This seemingly successful strategy, termed "public metabolism", is used by a wide range of microbial species that inhabit diverse habitats, yet it has two obvious drawbacks. First, the public goods can easily be lost into the environment before they are successfully taken up by the cell that generated them. Second, the public-goods can be exploited by microbes that "cheat" by not contributing to their production but still reap the rewards. These shortcomings can threaten the success of public metabolism and the stability and functioning of microbial communities. Curiously, an exploitation-free strategy exists whereby microbes can secure nutrients by taking them directly into the cell, with digestion taking place "privately" inside the cell, instead of "publicly" in the environment. Yet despite this failsafe alternative, many microbes still feed by public metabolism. Our project will determine why this is the case and what benefits public metabolism provides.
Based on preliminary data we hypothesise that microbial feeding strategies involving either public or private metabolism represent two opposing approaches to survival, the success of which is environment-dependent. In particular, we hypothesise that sufficiently spatially structured environments will limit exploitation of public-metabolisers thus favouring them over private-metabolisers.
To test this, we have generated two well-defined and tractable synthetic systems involving the environmental yeast Saccharomyces cerevisiae and the plant pathogen Magnaporthe oryzae. These communities will be used to experimentally probe the fitness of different metabolic strategies in their natural environments and assess community stability and function. In parallel, we will develop dynamic, spatially explicit, genome-scale mathematical models to generate mechanistic understanding of how metabolic interactions and the degree of spatial structure support community stability. This will enable us to extrapolate general principles from the system-specific observation and to develop a classification of different types of biotic (e.g. host-pathogen and microbe-microbe) and abiotic (e.g. spatial structure) conditions that favour cooperative metabolism.
Microorganisms play crucial roles in ecosystem functioning and the health of macro organisms. They form beneficial relationships with multicellular organisms, in environments ranging from animal guts to soil, and can be exploited to degrade industrial waste or produce useful chemicals. But they can also cause devastating damage by destroying our food sources and eliminating key plant species, thus preventing the absorption of hundreds of megatonnes of CO2.
Microorganisms do not exist in isolation, instead they form intricate communities of diverse strains and species where individuals participate in complex cooperative and competitive interactions. However, we lack a comprehensive understanding of how these interactions alter the function and stability of the community. This is crucial for predicting the evolution of microbial strategies that promote survival and growth in natural environments.
To survive and thrive, microorganisms must obtain nutrients from their environment and cooperative and competitive actions are key to the way that microbes feed. A common strategy to obtain nutrients involves secreting metabolic products into the external, "public" environment to break down or capture resources, before they are taken up into the cell. The metabolic products are considered to be cooperative public goods as they are generated externally and so benefit other cells in the shared environment. This seemingly successful strategy, termed "public metabolism", is used by a wide range of microbial species that inhabit diverse habitats, yet it has two obvious drawbacks. First, the public goods can easily be lost into the environment before they are successfully taken up by the cell that generated them. Second, the public-goods can be exploited by microbes that "cheat" by not contributing to their production but still reap the rewards. These shortcomings can threaten the success of public metabolism and the stability and functioning of microbial communities. Curiously, an exploitation-free strategy exists whereby microbes can secure nutrients by taking them directly into the cell, with digestion taking place "privately" inside the cell, instead of "publicly" in the environment. Yet despite this failsafe alternative, many microbes still feed by public metabolism. Our project will determine why this is the case and what benefits public metabolism provides.
Based on preliminary data we hypothesise that microbial feeding strategies involving either public or private metabolism represent two opposing approaches to survival, the success of which is environment-dependent. In particular, we hypothesise that sufficiently spatially structured environments will limit exploitation of public-metabolisers thus favouring them over private-metabolisers.
To test this, we have generated two well-defined and tractable synthetic systems involving the environmental yeast Saccharomyces cerevisiae and the plant pathogen Magnaporthe oryzae. These communities will be used to experimentally probe the fitness of different metabolic strategies in their natural environments and assess community stability and function. In parallel, we will develop dynamic, spatially explicit, genome-scale mathematical models to generate mechanistic understanding of how metabolic interactions and the degree of spatial structure support community stability. This will enable us to extrapolate general principles from the system-specific observation and to develop a classification of different types of biotic (e.g. host-pathogen and microbe-microbe) and abiotic (e.g. spatial structure) conditions that favour cooperative metabolism.
Technical Summary
Microbial communities play essential roles in ecosystem processes and the health of macro organisms. To survive and thrive, microbes must acquire nutrients from their environment. Thus, metabolic interactions are key to the formation, stability and function of microbial communities. Yet we lack understanding of the fundamental rules governing how microbes feed. Nutrient acquisition frequently involves secretion of costly metabolic products that capture or break down resources in the external environment. This cooperative strategy, termed "public metabolism", is risky as the products can be lost into the environment or exploited by neighbours. So why do many diverse microbes engage in such cooperative nutrient consumption when an exploitation-free alternative, termed "private metabolism", is available? It involves microbes internalising substrates before being metabolised so all generated products are retained in the cell. Tackling this question requires an interdisciplinary approach that combines synthetic biology, microbial population ecology, molecular biology and mathematical modelling. Based on preliminary data, we hypothesise that feeding strategies involving either public or private metabolism represent two opposing approaches to survival, the success of which is environment-dependent. In particular, we predict that sufficiently spatially structured environments will limit exploitation of public metabolism, so favour it over private metabolism. To test this, we have generated two tractable synthetic systems with the environmental yeast Saccharomyces cerevisiae and the plant pathogen Magnaporthe oryzae. We will gain systematic understanding of the metabolic community interactions occurring within in vitro and in planta experiments by developing dynamic, spatially explicit, genome-scale metabolic models of both systems. This will allow us to extrapolate general principles governing microbial interactions and community stability from system-specific observation.
Planned Impact
Microbial communities play essential roles in nutrient recycling, ecosystem processes and the health of macro-organisms. To survive and thrive, microbes need to acquire nutrients from their environment and frequently this is achieved through cooperation amongst community members. Our research will answer the fundamental question: why engage in cooperative nutrient consumption that is open to exploitation when an exploitation-free alternative is available? Adopting a truly interdisciplinary approach we will combine synthetic biology, mathematical modelling and microbial community experiments to address this question.
Who will benefit?
The impact of our research will be two-fold. First, it will contribute to understanding of basic questions in biosciences making an important contribution to the wider body of scientific knowledge available to researchers. Second, it will contribute to the much-needed long-term training of Bioscientists in quantitative disciplines as well as contribute to addressing underrepresentation of certain groups in STEM disciplines. Fundamental scientific knowledge is the bedrock that underpins technological innovation. Truly interdisciplinary research approaches such as those described in this proposal are still relatively rare but foster the skills mix and creativity required to identify and develop technological solutions to real-world problems. Underrepresented groups in STEM bring a different perspective, thus developing a better gender and minority balance in quantitative sciences will eventually lead to a fundamental shift in the diversity of research questions being studied and to broader range of approaches taken to address these questions. This in turn feeds the pipeline of ideas and solutions required to develop innovative technologies for industry and society.
How they will Benefit
Wider research community: Researchers will benefit by access to new knowledge and computational tools that underpin a mechanistic understanding of how different metabolic strategies affect microbial community composition, function and stability. This has far-reaching consequences as cooperative metabolism is prevalent amongst marine microbial communities, mammalian microbiota and plant pathogens.
Young researchers: A recent BBSRC review into vulnerable skills highlighted that "Maths, statistics and computational biology skills are lacking particularly at the postgraduate and postdoctoral levels, with many respondents reporting difficulties in recruiting adequately skilled researchers at these levels; shortages are not just restricted to the UK". Indeed, the same challenges exist in the US. Our interdisciplinary research project deploys data-driven mathematical modelling and computer simulations and the tools will be developed in a user-friendly way that is accessible to wide range of bioscientists. The quantitative training will be facilitated via a skills training workshop. In the long term this will increase employability of young researchers, not only in the academia but also in industries where quantitative skills are required alongside cutting-edge biological knowledge.
The wider public, including local schools: Wider society will benefit by access to new educational resources and knowledge about using mathematics, computer science and engineering to understand fundamental principles in biology. Promoting the importance of quantitative disciplines in solving topical problems in biology will help to address a long-standing gender gap in mathematics, computer science and engineering. In particular 63% of A-level Biology students are girls, while only 28% of A-level Further Maths students are girls. The underrepresentation of women studying mathematics, computer science and engineering continues into undergraduate HE. Introducing girls to the importance of mathematics in biology at an early age could help address this imbalance.
Who will benefit?
The impact of our research will be two-fold. First, it will contribute to understanding of basic questions in biosciences making an important contribution to the wider body of scientific knowledge available to researchers. Second, it will contribute to the much-needed long-term training of Bioscientists in quantitative disciplines as well as contribute to addressing underrepresentation of certain groups in STEM disciplines. Fundamental scientific knowledge is the bedrock that underpins technological innovation. Truly interdisciplinary research approaches such as those described in this proposal are still relatively rare but foster the skills mix and creativity required to identify and develop technological solutions to real-world problems. Underrepresented groups in STEM bring a different perspective, thus developing a better gender and minority balance in quantitative sciences will eventually lead to a fundamental shift in the diversity of research questions being studied and to broader range of approaches taken to address these questions. This in turn feeds the pipeline of ideas and solutions required to develop innovative technologies for industry and society.
How they will Benefit
Wider research community: Researchers will benefit by access to new knowledge and computational tools that underpin a mechanistic understanding of how different metabolic strategies affect microbial community composition, function and stability. This has far-reaching consequences as cooperative metabolism is prevalent amongst marine microbial communities, mammalian microbiota and plant pathogens.
Young researchers: A recent BBSRC review into vulnerable skills highlighted that "Maths, statistics and computational biology skills are lacking particularly at the postgraduate and postdoctoral levels, with many respondents reporting difficulties in recruiting adequately skilled researchers at these levels; shortages are not just restricted to the UK". Indeed, the same challenges exist in the US. Our interdisciplinary research project deploys data-driven mathematical modelling and computer simulations and the tools will be developed in a user-friendly way that is accessible to wide range of bioscientists. The quantitative training will be facilitated via a skills training workshop. In the long term this will increase employability of young researchers, not only in the academia but also in industries where quantitative skills are required alongside cutting-edge biological knowledge.
The wider public, including local schools: Wider society will benefit by access to new educational resources and knowledge about using mathematics, computer science and engineering to understand fundamental principles in biology. Promoting the importance of quantitative disciplines in solving topical problems in biology will help to address a long-standing gender gap in mathematics, computer science and engineering. In particular 63% of A-level Biology students are girls, while only 28% of A-level Further Maths students are girls. The underrepresentation of women studying mathematics, computer science and engineering continues into undergraduate HE. Introducing girls to the importance of mathematics in biology at an early age could help address this imbalance.
Publications
Nev OA
(2021)
Predicting microbial growth dynamics in response to nutrient availability.
in PLoS computational biology
Lindsay RJ
(2023)
Metabolic efficiency reshapes the seminal relationship between pathogen growth rate and virulence.
in Ecology letters
Lindsay RJ
(2024)
Experimental evolution of yeast shows that public-goods upregulation can evolve despite challenges from exploitative non-producers.
in Nature communications
| Title | Food security mural |
| Description | This was a collaboration between a Devon artist Chloe Farrant, our Exeter team and school children from Torquay Girl's Grammar and was a result of the outreach workshop promoting girl's involvement in STEM subjects. |
| Type Of Art | Artwork |
| Year Produced | 2024 |
| Impact | The mural is located on the BBSRC-funded Global Meteorological Simulator (GMS), a cutting edge platform for studying plant health and disease under controlled yet realistic weather conditions. The GMS is part of the PhenomUK infrastructure project and as such will be utilised by the plant phenotypic community in the UK as well as industrial partners. As such the mural will have an impact on all the GMS users. We are in the process of creating a dedicated GMS website where the photos of the mural will be displayed. |
| Description | This project was originally funded through a BBSRC-NSF call and was a collaboration between researchers at the University of Exeter (UoE) (RJL, IG), The Sainsbury Laboratory (NJT) and the University of Massachusetts (UMass), Amherst (MH). Due to circumstances beyond our control, the NSF portion of the grant, awarded to MH, has since been returned to NSF and closed in 2022. After a short interruption, the UK team have revised aims and objectives that have enabled us to work towards the successful completion of our main objectives. Despite the above setbacks we successful achieve all of our revised objectives. These include: Objective 1: We published a paper in Nature Communications (Lindsay et al, 2024, 15 (1), 7810) detailing a newly discovered mechanism that can promote the evolution of public metabolism in environments previously considered to select against it. Objective 2: We have conducted spatially structured in vitro experiments with Saccharomyces cerevisiae, informed by our existing metabolic models. These collectively informed spatially structured in vitro and in planta experiments that have been conducted with Magnaporthe oryzae in Objective 3. Objective 3: We conducted spatially structured in vitro experiments with M. oryzae as planned and published results from some of these experiments in Ecology Letters (Lindsay et al 2023, Vol 26, pp 896-907). Moreover we unexpectedly discovered a non-monotonic relationship between the degree of spatial structuring within an environment and fitness of organisms displaying cooperative metabolism. This data captures the predictions of the conflicting theories that spatial structure sometimes promotes and sometimes hinders cooperation, meaning that the contradictory predictions might actually form part of the same non-linear spectrum of possible outcomes. A manuscript is currently in preparation. |
| Exploitation Route | it is too early to say. |
| Sectors | Agriculture Food and Drink |
| Description | Global Meteorological Simulator (GMS): For plant health and disease |
| Amount | £700,102 (GBP) |
| Funding ID | BB/W019965/1 |
| Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 07/2022 |
| End | 07/2023 |
| Title | Experimental evolution of yeast shows that public-goods upregulation can evolve despite challenges from exploitative non-producers |
| Description | Data to accompany the manuscript "Experimental evolution of yeast shows that public-goods upregulation can evolve despite challenges from exploitative non-producers" |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | This data has contributed to the scientific knowledge on microbial metabolic secretions. Microbial secretions, such as metabolic enzymes, are often considered to be cooperative public goods as they are costly to produce but can be exploited by others. They create incentives for the evolution of non-producers, which can drive producer and population productivity declines. In response, producers can adjust production levels. Past studies suggest that while producers lower production to reduce costs and exploitation opportunities when under strong selection pressure from non-producers, they overproduce secretions when these pressures are weak. We challenge the universality of this trend with the production of a metabolic enzyme, invertase, by Saccharomyces cerevisiae, which catalyses sucrose hydrolysis into two hexose molecules. Contrary to past studies, overproducers evolve during evolutionary experiments even when under strong selection pressure from non-producers. Phenotypic and competition assays with a collection of synthetic strains - engineered to have modified metabolic attributes - identify two mechanisms for suppressing the benefits of invertase to those who exploit it. Invertase overproduction increases extracellular hexose concentrations that suppresses the metabolic efficiency of competitors, due to the rate-efficiency trade-off, and also enhances overproducers' hexose capture rate by inducing transporter expression. Thus, overproducers are maintained in the environment originally thought to not support public goods production. |
| URL | https://springernature.figshare.com/articles/dataset/Experimental_evolution_of_yeast_shows_that_publ... |
| Description | Mathematical models of fungal metabolism |
| Organisation | University of Massachusetts Amherst |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | This is a collaboration funded by a BBSRC-NSF Lead agency grant. The UK side of the research is funded by the BBSRC while the NSF funds our collaborator at the University of Massachusetts. We have put together a truly interdisciplinary team with expertise in synthetic biology and microbial ecology (Exeter), molecular fungal biology (Sainsbury Lab) and microbial metabolic modelling (University of Massachusetts). The majority of the experimental work is conducted at the University of Exeter. |
| Collaborator Contribution | Development of the community genome-scale metabolic models is carried our at the University of Massachusetts. |
| Impact | this project has only started in November 2020 during the COVID pandemic. |
| Start Year | 2020 |
| Description | Plant-pathogen interactions |
| Organisation | John Innes Centre |
| Department | The Sainsbury Laboratory |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | This is a collaboration with Prof Nick Talbot a co-I on the above grant. Our interdisciplinary team includes expertise in synthetic biology and microbial ecology (Exeter), molecular fungal biology (The Sainsbury Lab) and microbial metabolic modelling (University of Massachusetts). The majority of the experimental work is conducted at the University of Exeter. |
| Collaborator Contribution | Professor Talbot at The Sainsbury Lab will provide expertise in cutting edge molecular techniques and quantification of M. oryzae in planta communities. |
| Impact | this project started in November 2020 during the COVID pandemic. |
| Start Year | 2020 |
| Description | Animation addressing the Gender Gap in STEM |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Schools |
| Results and Impact | In December 2014, the then Prime minister stated "If countries are going to win in the global race and children compete and get the best jobs, you need mathematicians and scientists - pure and simple". Since then, the government's vision for the UK has been to inspire dramatically more young people to take these subjects both at GCSE and A-level. However, the vision for the UK should also be one of equality, where both boys and girls study mathematics, computer sciences and engineering in equal numbers. Recent statistic shows that more needs to be done to promote equality (source WISE 2018). Only 28% of students taking Further Maths and only 12% of students taking Computing at A-level are girls. This is in stark contrast to biology, where significantly more girls than boys take Biology A-level. The underrepresentation of women studying mathematics, computer science and engineering continues into the undergraduate HE (source HESA 2017/18). Exposing girls to the relevance of quantitative disciplines in solving fundamental biological problems could hopefully spark interest in taking up these subjects at A-level and HE. To inspire and attract girls and other groups underrepresented in STEM fields interested in biology into quantitative disciplines a 'mini-documentary', i.e. 6-minute science film will be developed. It will utilise the research in this proposal (Prelim. data Lindsay et al Nature E&E 2019 and Box B, Case for Support) to introduce pupils to synthetic biology as an area of science that applies engineering principles to biology. To inspire and attract girls and other groups underrepresented in STEM fields interested in biology into quantitative disciplines, we teamed up with Bad Studio (https://www.badstudio.co.uk) an award-winning, design-led, animation company based in the UK whose customers include the European Space Agency and BBC. They created an animation is now available to school children across the country and will be used in our regular outreach programmes. It showcase the importance of mathematics in biology by illustrating how mathematical models of synthetic organisms developed in this grant can help answer a fundamental question in evolutionary ecology: Why do microbes cooperate to obtain food from the environment? The animation was completed in December 2024 and has very recently been uploaded onto youtube. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://www.youtube.com/watch?v=_fo62wH-avY |
| Description | School outreach workshop STEM meets ART |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | To address the underrepresentation of girls studying maths and computer science beyond GSCE, an outreach visit took place at Torquay Girl's Grammar School, lead by the PI and two research technicians. The activities involving 140 girls included: 1. "My road into science" career talks to the year 10 students. 2. Screening of the animation "The Science Behind Fighting World Hunger" funded by the BBSRC and produced by Bad Studio. This animation was created as a means of promoting quantitative disciplines as a way of solving real world problems, such as food security and crop protection, and tailored to the age group present. 3. The PI delivered an interactive workshop on Prisoner's Dilemma and how it can be applied to biological systems 4. At the beginning and end of these activities fully anonymised questionnaires were completed by the students to initially assess their initial interest in biology and maths as subjects, how difficult they found these topics, and how likely they were to pursue these topics beyond compulsory requirements. Subsequently exit questionnaires were handed out in order to assess whether these activities have influenced the students views on pursuing maths beyond GCSE, with questions relating specifically to both the animation and the presentation.The results of the questionnaires are currently been analysed 5. Local artist Chloe Farrant, who has experience both as a former teacher and as a professional artist, joined us for this event. She also showed the animated film to a group of year 12 art students as a way of inspiring ideas related to the topics illustrated. After the students were shown the video, they were asked to produce some artwork that incorporated the themes of the film. CF then used some of these themes to produce a customised mural for the side of the BBSRC-ALERT funded Global Meteorological Simulator, at the University of Exeter. |
| Year(s) Of Engagement Activity | 2024 |
| Description | Vulnerable skills workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Interdisciplinary and Maths, Stats and Computation have been identified by the BBSRC as vulnerable skills areas in the UK biosciences research base. We organised a two-day workshop from 16-17th December 2024 at Exeter to provide training to postgraduate and postdoctoral bio-scientists as well as early career researchers in metabolic modelling of microbial communities. The aim of the workshop is to introduce biosciences researchers to state-of-the-art modelling techniques and data analysis techniques. It was attended by 32 individuals from across the UK including mainly Postgraduate researchers and Early career researchers and a small number of academics. The workshop was developed and delivered by Robert Beardmore, a Professor of Mathematical Bioscience with over 25 years of experience in teaching quantitative approaches for studying microbial communities. |
| Year(s) Of Engagement Activity | 2024 |