1
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Noto Guillen M, Li C, Rosener B, Mitchell A. Antibacterial activity of nonantibiotics is orthogonal to standard antibiotics. Science 2024; 384:93-100. [PMID: 38484036 DOI: 10.1126/science.adk7368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 03/04/2024] [Indexed: 03/20/2024]
Abstract
Numerous nonantibiotic drugs have potent antibacterial activity and can adversely affect the human microbiome. The mechanistic underpinning of this toxicity remains largely unknown. We investigated the antibacterial activity of 200 drugs using genetic screens with thousands of barcoded Escherichia coli knockouts. We analyzed 2 million gene-drug interactions underlying drug-specific toxicity. Network-based analysis of drug-drug similarities revealed that antibiotics clustered into modules that are consistent with the mode of action of their established classes, whereas nonantibiotics remained unconnected. Half of the nonantibiotics clustered into separate modules, potentially revealing shared and unexploited targets for new antimicrobials. Analysis of efflux systems revealed that they widely affect antibiotics and nonantibiotics alike, suggesting that the impact of nonantibiotics on antibiotic cross-resistance should be investigated closely in vivo.
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Affiliation(s)
- Mariana Noto Guillen
- Department of Systems Biology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Carmen Li
- Department of Systems Biology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Brittany Rosener
- Department of Systems Biology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Amir Mitchell
- Department of Systems Biology, University of Massachusetts Medical School, Worcester, MA, USA
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2
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Peng H, Darlington APS, South EJ, Chen HH, Jiang W, Ledesma-Amaro R. A molecular toolkit of cross-feeding strains for engineering synthetic yeast communities. Nat Microbiol 2024; 9:848-863. [PMID: 38326570 PMCID: PMC10914607 DOI: 10.1038/s41564-023-01596-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 12/18/2023] [Indexed: 02/09/2024]
Abstract
Engineered microbial consortia often have enhanced system performance and robustness compared with single-strain biomanufacturing production platforms. However, few tools are available for generating co-cultures of the model and key industrial host Saccharomyces cerevisiae. Here we engineer auxotrophic and overexpression yeast strains that can be used to create co-cultures through exchange of essential metabolites. Using these strains as modules, we engineered two- and three-member consortia using different cross-feeding architectures. Through a combination of ensemble modelling and experimentation, we explored how cellular (for example, metabolite production strength) and environmental (for example, initial population ratio, population density and extracellular supplementation) factors govern population dynamics in these systems. We tested the use of the toolkit in a division of labour biomanufacturing case study and show that it enables enhanced and tuneable antioxidant resveratrol production. We expect this toolkit to become a useful resource for a variety of applications in synthetic ecology and biomanufacturing.
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Affiliation(s)
- Huadong Peng
- Department of Bioengineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Alexander P S Darlington
- Warwick Integrative Synthetic Biology Centre, School of Engineering, University of Warwick, Coventry, UK
| | - Eric J South
- Molecular Biology, Cell Biology and Biochemistry Program, Boston University, Boston, MA, USA
| | - Hao-Hong Chen
- Department of Bioengineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- School of Food Science and Engineering, South China University of Technology, Guangzhou, China
| | - Wei Jiang
- Department of Bioengineering, Imperial College London, London, UK
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
- The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Rodrigo Ledesma-Amaro
- Department of Bioengineering, Imperial College London, London, UK.
- Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
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3
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Walker RM, Sanabria VC, Youk H. Microbial life in slow and stopped lanes. Trends Microbiol 2023:S0966-842X(23)00331-1. [PMID: 38123400 DOI: 10.1016/j.tim.2023.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/27/2023] [Accepted: 11/28/2023] [Indexed: 12/23/2023]
Abstract
Microbes in nature often lack nutrients and face extreme or widely fluctuating temperatures, unlike microbes in growth-optimized settings in laboratories that much of the literature examines. Slowed or suspended lives are the norm for microbes. Studying them is important for understanding the consequences of climate change and for addressing fundamental questions about life: are there limits to how slowly a cell's life can progress, and how long cells can remain viable without self-replicating? Recent studies began addressing these questions with single-cell-level measurements and mathematical models. Emerging principles that govern slowed or suspended lives of cells - including lives of dormant spores and microbes at extreme temperatures - are re-defining discrete cellular states as continuums and revealing intracellular dynamics at new timescales. Nearly inactive, lifeless-appearing microbes are transforming our understanding of life.
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Affiliation(s)
- Rachel M Walker
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Valeria C Sanabria
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Hyun Youk
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
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4
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Amrofell MB, Rengarajan S, Vo ST, Ramirez Tovar ES, LoBello L, Dantas G, Moon TS. Engineering E. coli strains using antibiotic-resistance-gene-free plasmids. Cell Rep Methods 2023; 3:100669. [PMID: 38086386 PMCID: PMC10753387 DOI: 10.1016/j.crmeth.2023.100669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/29/2023] [Accepted: 11/17/2023] [Indexed: 12/21/2023]
Abstract
We created a generalizable pipeline for antibiotic-resistance-gene-free plasmid (ARGFP)-based cloning using a dual auxotrophic- and essential-gene-based selection strategy. We use auxotrophic selection to construct plasmids in engineered E. coli DH10B cloning strains and both auxotrophic- and essential-gene-based selection to (1) select for recombinant strains and (2) maintain a plasmid in E. coli Nissle 1917, a common chassis for engineered probiotic applications, and E. coli MG1655, the laboratory "wild-type" E. coli strain. We show that our approach has comparable efficiency to that of antibiotic-resistance-gene-based cloning. We also show that the double-knockout Nissle and MG1655 strains are simple to transform with plasmids of interest. Notably, we show that the engineered Nissle strains are amenable to long-term plasmid maintenance in repeated culturing as well as in the mouse gut, demonstrating the potential for broad applications while minimizing the risk of antibiotic resistance spread via horizontal gene transfer.
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Affiliation(s)
- Matthew B Amrofell
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Sunaina Rengarajan
- Department of Medicine, Division of Dermatology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Steven T Vo
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Erick S Ramirez Tovar
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Larissa LoBello
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Gautam Dantas
- Department of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO 63110, USA; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110, USA; Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Tae Seok Moon
- Department of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA; Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA.
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5
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Martinson JNV, Chacón JM, Smith BA, Villarreal AR, Hunter RC, Harcombe WR. Mutualism reduces the severity of gene disruptions in predictable ways across microbial communities. ISME J 2023; 17:2270-2278. [PMID: 37865718 PMCID: PMC10689784 DOI: 10.1038/s41396-023-01534-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 10/03/2023] [Accepted: 10/06/2023] [Indexed: 10/23/2023]
Abstract
Predicting evolution in microbial communities is critical for problems from human health to global nutrient cycling. Understanding how species interactions impact the distribution of fitness effects for a focal population would enhance our ability to predict evolution. Specifically, does the type of ecological interaction, such as mutualism or competition, change the average effect of a mutation (i.e., the mean of the distribution of fitness effects)? Furthermore, how often does increasing community complexity alter the impact of species interactions on mutant fitness? To address these questions, we created a transposon mutant library in Salmonella enterica and measured the fitness of loss of function mutations in 3,550 genes when grown alone versus competitive co-culture or mutualistic co-culture with Escherichia coli and Methylorubrum extorquens. We found that mutualism reduces the average impact of mutations, while competition had no effect. Additionally, mutant fitness in the 3-species communities can be predicted by averaging the fitness in each 2-species community. Finally, we discovered that in the mutualism S. enterica obtained vitamins and more amino acids than previously known. Our results suggest that species interactions can predictably impact fitness effect distributions, in turn suggesting that evolution may ultimately be predictable in multi-species communities.
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Affiliation(s)
- Jonathan N V Martinson
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA
| | - Jeremy M Chacón
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA
- Minnesota Super Computing Institute, University of Minnesota, Minneapolis, MN, USA
| | - Brian A Smith
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA
| | - Alex R Villarreal
- Department of Microbiology & Immunology, University of Minnesota, Minneapolis, MN, USA
| | - Ryan C Hunter
- Department of Microbiology & Immunology, University of Minnesota, Minneapolis, MN, USA
| | - William R Harcombe
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA.
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA.
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6
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Sun X, Sanchez A. Synthesizing microbial biodiversity. Curr Opin Microbiol 2023; 75:102348. [PMID: 37352679 DOI: 10.1016/j.mib.2023.102348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/20/2023] [Accepted: 05/25/2023] [Indexed: 06/25/2023]
Abstract
The diversity of microbial ecosystems is linked to crucial ecological processes and functions. Despite its significance, the ecological mechanisms responsible for the initiation and maintenance of microbiome diversity are still not fully understood. The primary challenge lies in the difficulty of isolating, monitoring, and manipulating the complex and interrelated ecological processes that modulate the diversity of microbial communities in their natural habitats. Synthetic ecology experiments provide a suitable alternative for investigating the mechanisms behind microbial biodiversity in controlled laboratory settings, as the environment can be systematically and modularly manipulated by adding and removing components. This enables the testing of hypotheses and the advancement of predictive theories. In this review, we present an overview of recent progress toward achieving this goal.
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Affiliation(s)
- Xin Sun
- Department of Global Ecology, Carnegie Institution for Science, Stanford, CA 94305, USA
| | - Alvaro Sanchez
- Department of Microbial Biotechnology, National Center for Biotechnology CNB-CSIC, Madrid, Spain.
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7
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Hessler T, Huddy RJ, Sachdeva R, Lei S, Harrison STL, Diamond S, Banfield JF. Vitamin interdependencies predicted by metagenomics-informed network analyses and validated in microbial community microcosms. Nat Commun 2023; 14:4768. [PMID: 37553333 PMCID: PMC10409787 DOI: 10.1038/s41467-023-40360-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 07/20/2023] [Indexed: 08/10/2023] Open
Abstract
Metagenomic or metabarcoding data are often used to predict microbial interactions in complex communities, but these predictions are rarely explored experimentally. Here, we use an organism abundance correlation network to investigate factors that control community organization in mine tailings-derived laboratory microbial consortia grown under dozens of conditions. The network is overlaid with metagenomic information about functional capacities to generate testable hypotheses. We develop a metric to predict the importance of each node within its local network environments relative to correlated vitamin auxotrophs, and predict that a Variovorax species is a hub as an important source of thiamine. Quantification of thiamine during the growth of Variovorax in minimal media show high levels of thiamine production, up to 100 mg/L. A few of the correlated thiamine auxotrophs are predicted to produce pantothenate, which we show is required for growth of Variovorax, supporting that a subset of vitamin-dependent interactions are mutualistic. A Cryptococcus yeast produces the B-vitamin pantothenate, and co-culturing with Variovorax leads to a 90-130-fold fitness increase for both organisms. Our study demonstrates the predictive power of metagenome-informed, microbial consortia-based network analyses for identifying microbial interactions that underpin the structure and functioning of microbial communities.
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Affiliation(s)
- Tomas Hessler
- The Innovative Genomics Institute at the University of California, Berkeley, CA, USA
- The Department of Earth and Planetary Science, University of California, Berkeley, CA, USA
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
| | - Robert J Huddy
- Reasearch Office, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Rohan Sachdeva
- The Innovative Genomics Institute at the University of California, Berkeley, CA, USA
- The Department of Earth and Planetary Science, University of California, Berkeley, CA, USA
| | - Shufei Lei
- The Department of Earth and Planetary Science, University of California, Berkeley, CA, USA
| | - Susan T L Harrison
- The Center for Bioprocess Engineering Research, University of Cape Town, Cape Town, South Africa
- The Future Water Institute, University of Cape Town, Cape Town, South Africa
- Department of Chemical Engineering, University of Cape Town, Cape Town, South Africa
| | - Spencer Diamond
- The Innovative Genomics Institute at the University of California, Berkeley, CA, USA
- The Department of Earth and Planetary Science, University of California, Berkeley, CA, USA
| | - Jillian F Banfield
- The Innovative Genomics Institute at the University of California, Berkeley, CA, USA.
- The Department of Earth and Planetary Science, University of California, Berkeley, CA, USA.
- The Department of Environmental Science, Policy and Management, University of California, Berkeley, CA, USA.
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8
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Prabhakara KH, Kuehn S. Algae drive convergent bacterial community assembly at low dilution frequency. iScience 2023; 26:106879. [PMID: 37275519 PMCID: PMC10238937 DOI: 10.1016/j.isci.2023.106879] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 12/22/2022] [Accepted: 05/10/2023] [Indexed: 06/07/2023] Open
Abstract
Microbial community assembly is a complex dynamical process that determines community structure and function. The interdependence of inter-species interactions and nutrient availability presents a challenge for understanding community assembly. We sought to understand how external nutrient supply rate modulated interactions to affect the assembly process. A statistical decomposition of taxonomic structures of bacterial communities assembled with and without algae and at varying dilution frequencies allowed the separation of the effects of biotic (presence of algae) and abiotic (dilution frequency) factors on community assembly. For infrequent dilutions, the algae strongly impact community assembly, driving initially diverse bacterial consortia to converge to a common structure. Analyzing sequencing data revealed that this convergence is largely mediated by a decline in the relative abundance of specific taxa in the presence of algae. This study shows that complex phototroph-heterotroph communities can be powerful model systems for understanding assembly processes relevant to the global ecosystem functioning.
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Affiliation(s)
- Kaumudi H Prabhakara
- Center for Physics of Evolving Systems, University of Chicago, Chicago, IL 60637, USA
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA
| | - Seppe Kuehn
- Center for Physics of Evolving Systems, University of Chicago, Chicago, IL 60637, USA
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA
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9
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Matsuzaki R, Gunnigle E, Geissen V, Clarke G, Nagpal J, Cryan JF. Pesticide exposure and the microbiota-gut-brain axis. ISME J 2023:10.1038/s41396-023-01450-9. [PMID: 37328570 DOI: 10.1038/s41396-023-01450-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 04/27/2023] [Accepted: 05/31/2023] [Indexed: 06/18/2023]
Abstract
The gut microbiota exist within a dynamic ecosystem shaped by various factors that includes exposure to xenobiotics such as pesticides. It is widely regarded that the gut microbiota plays an essential role in maintaining host health, including a major influence on the brain and behaviour. Given the widespread use of pesticides in modern agriculture practices, it is important to assess the long-term collateral effects these xenobiotic exposures have on gut microbiota composition and function. Indeed, exposure studies using animal models have shown that pesticides can induce negative impacts on the host gut microbiota, physiology and health. In tandem, there is a growing body of literature showing that the effects of pesticide exposure can be extended to the manifestation of behavioural impairments in the host. With the increasing appreciation of the microbiota-gut-brain axis, in this review we assess whether pesticide-induced changes in gut microbiota composition profiles and functions could be driving these behavioural alterations. Currently, the diversity of pesticide type, exposure dose and variation in experimental designs hinders direct comparisons of studies presented. Although many insights presented, the mechanistic connection between the gut microbiota and behavioural changes remains insufficiently explored. Future experiments should therefore focus on causal mechanisms to examine the gut microbiota as the mediator of the behavioural impairments observed in the host following pesticide exposure.
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Affiliation(s)
- Rie Matsuzaki
- APC Microbiome Ireland, University College Cork, T12 YT20, Cork, Ireland
- Department of Anatomy and Neuroscience, University College Cork, T12 YT20, Cork, Ireland
| | - Eoin Gunnigle
- APC Microbiome Ireland, University College Cork, T12 YT20, Cork, Ireland
| | - Violette Geissen
- Department of Environmental Sciences, Wageningen University & Research, 6700AA, Wageningen, The Netherlands
| | - Gerard Clarke
- APC Microbiome Ireland, University College Cork, T12 YT20, Cork, Ireland
- Department of Psychiatry & Neurobehavioural Sciences, University College Cork, T12 YT20, Cork, Ireland
| | - Jatin Nagpal
- APC Microbiome Ireland, University College Cork, T12 YT20, Cork, Ireland
- School of Pharmacy and Department of Pharmacology & Therapeutics, University College Cork, T12 YT20, Cork, Ireland
| | - John F Cryan
- APC Microbiome Ireland, University College Cork, T12 YT20, Cork, Ireland.
- Department of Anatomy and Neuroscience, University College Cork, T12 YT20, Cork, Ireland.
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10
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Aulakh SK, Sellés Vidal L, South EJ, Peng H, Varma SJ, Herrera-Dominguez L, Ralser M, Ledesma-Amaro R. Spontaneously established syntrophic yeast communities improve bioproduction. Nat Chem Biol 2023:10.1038/s41589-023-01341-2. [PMID: 37248413 PMCID: PMC10374442 DOI: 10.1038/s41589-023-01341-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Accepted: 04/14/2023] [Indexed: 05/31/2023]
Abstract
Nutritional codependence (syntrophy) has underexplored potential to improve biotechnological processes by using cooperating cell types. So far, design of yeast syntrophic communities has required extensive genetic manipulation, as the co-inoculation of most eukaryotic microbial auxotrophs does not result in cooperative growth. Here we employ high-throughput phenotypic screening to systematically test pairwise combinations of auxotrophic Saccharomyces cerevisiae deletion mutants. Although most coculture pairs do not enter syntrophic growth, we identify 49 pairs that spontaneously form syntrophic, synergistic communities. We characterized the stability and growth dynamics of nine cocultures and demonstrated that a pair of tryptophan auxotrophs grow by exchanging a pathway intermediate rather than end products. We then introduced a malonic semialdehyde biosynthesis pathway split between different pairs of auxotrophs, which resulted in increased production. Our results report the spontaneous formation of stable syntrophy in S. cerevisiae auxotrophs and illustrate the biotechnological potential of dividing labor in a cooperating intraspecies community.
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Affiliation(s)
- Simran Kaur Aulakh
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK
- The Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Lara Sellés Vidal
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
| | - Eric J South
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
| | - Huadong Peng
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, UK
| | - Sreejith Jayasree Varma
- Department of Biochemistry, Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Lucia Herrera-Dominguez
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK
- Department of Biochemistry, Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Markus Ralser
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK.
- The Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Department of Biochemistry, Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
- Max Planck Institute for Molecular Genetics, Berlin, Germany.
| | - Rodrigo Ledesma-Amaro
- Department of Bioengineering and Imperial College Centre for Synthetic Biology, Imperial College London, London, UK.
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11
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Martinson JNV, Chacón JM, Smith BA, Villarreal AR, Hunter RC, Harcombe WR. Mutualism reduces the severity of gene disruptions in predictable ways across microbial communities. bioRxiv 2023:2023.05.08.539835. [PMID: 37214994 PMCID: PMC10197568 DOI: 10.1101/2023.05.08.539835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Predicting evolution in microbial communities is critical for problems from human health to global nutrient cycling. Understanding how species interactions impact the distribution of fitness effects for a focal population would enhance our ability to predict evolution. Specifically, it would be useful to know if the type of ecological interaction, such as mutualism or competition, changes the average effect of a mutation (i.e., the mean of the distribution of fitness effects). Furthermore, how often does increasing community complexity alter the impact of species interactions on mutant fitness? To address these questions, we created a transposon mutant library in Salmonella enterica and measured the fitness of loss of function mutations in 3,550 genes when grown alone versus competitive co-culture or mutualistic co-culture with Escherichia coli and Methylorubrum extorquens. We found that mutualism reduces the average impact of mutations, while competition had no effect. Additionally, mutant fitness in the 3-species communities can be predicted by averaging the fitness in each 2-species community. Finally, the fitness effects of several knockouts in the mutualistic communities were surprising. We discovered that S. enterica is obtaining a different source of carbon and more vitamins and amino acids than we had expected. Our results suggest that species interactions can predictably impact fitness effect distributions, in turn suggesting that evolution may ultimately be predictable in multi-species communities.
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Affiliation(s)
- Jonathan N V Martinson
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA
| | - Jeremy M Chacón
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA
- Current address: Minnesota Super Computing Institute, University of Minnesota, Minneapolis, MN, USA
| | - Brian A Smith
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA
| | - Alex R Villarreal
- Department of Microbiology & Immunology, University of Minnesota, Minneapolis, MN, USA
| | - Ryan C Hunter
- Department of Microbiology & Immunology, University of Minnesota, Minneapolis, MN, USA
| | - William R Harcombe
- Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA
- BioTechnology Institute, University of Minnesota, St. Paul, MN, USA
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12
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Abstract
Microbial communities are shaped by positive and negative interactions ranging from competition to mutualism. In the context of the mammalian gut and its microbial inhabitants, the integrated output of the community has important impacts on host health. Cross-feeding, the sharing of metabolites between different microbes, has emergent roles in establishing communities of gut commensals that are stable, resistant to invasion, and resilient to external perturbation. In this review, we first explore the ecological and evolutionary implications of cross-feeding as a cooperative interaction. We then survey mechanisms of cross-feeding across trophic levels, from primary fermenters to H2 consumers that scavenge the final metabolic outputs of the trophic network. We extend this analysis to also include amino acid, vitamin, and cofactor cross-feeding. Throughout, we highlight evidence for the impact of these interactions on each species' fitness as well as host health. Understanding cross-feeding illuminates an important aspect of microbe-microbe and host-microbe interactions that establishes and shapes our gut communities.
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Affiliation(s)
- Elizabeth J Culp
- Department of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew L Goodman
- Department of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT, USA.
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Lee KW, Shin JS, Lee CM, Han HY, O Y, Kim HW, Cho TJ. Gut-on-a-Chip for the Analysis of Bacteria-Bacteria Interactions in Gut Microbial Community: What Would Be Needed for Bacterial Co-Culture Study to Explore the Diet-Microbiota Relationship? Nutrients 2023; 15:nu15051131. [PMID: 36904133 PMCID: PMC10005057 DOI: 10.3390/nu15051131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/17/2023] [Accepted: 02/21/2023] [Indexed: 02/26/2023] Open
Abstract
Bacterial co-culture studies using synthetic gut microbiomes have reported novel research designs to understand the underlying role of bacterial interaction in the metabolism of dietary resources and community assembly of complex microflora. Since lab-on-a-chip mimicking the gut (hereafter "gut-on-a-chip") is one of the most advanced platforms for the simulative research regarding the correlation between host health and microbiota, the co-culture of the synthetic bacterial community in gut-on-a-chip is expected to reveal the diet-microbiota relationship. This critical review analyzed recent research on bacterial co-culture with perspectives on the ecological niche of commensals, probiotics, and pathogens to categorize the experimental approaches for diet-mediated management of gut health as the compositional and/or metabolic modulation of the microbiota and the control of pathogens. Meanwhile, the aim of previous research on bacterial culture in gut-on-a-chip has been mainly limited to the maintenance of the viability of host cells. Thus, the integration of study designs established for the co-culture of synthetic gut consortia with various nutritional resources into gut-on-a-chip is expected to reveal bacterial interspecies interactions related to specific dietary patterns. This critical review suggests novel research topics for co-culturing bacterial communities in gut-on-a-chip to realize an ideal experimental platform mimicking a complex intestinal environment.
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Affiliation(s)
- Ki Won Lee
- Department of Food and Biotechnology, College of Science and Technology, Korea University, 2511, Sejong-ro, Sejong 30019, Republic of Korea
| | - Jin Song Shin
- Department of Food Regulatory Science, College of Science and Technology, Korea University, 2511, Sejong-ro, Sejong 30019, Republic of Korea
| | - Chan Min Lee
- Department of Food and Biotechnology, College of Science and Technology, Korea University, 2511, Sejong-ro, Sejong 30019, Republic of Korea
| | - Hea Yeon Han
- Department of Food and Biotechnology, College of Science and Technology, Korea University, 2511, Sejong-ro, Sejong 30019, Republic of Korea
| | - Yun O
- Department of Food Regulatory Science, College of Science and Technology, Korea University, 2511, Sejong-ro, Sejong 30019, Republic of Korea
| | - Hye Won Kim
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Tae Jin Cho
- Department of Food and Biotechnology, College of Science and Technology, Korea University, 2511, Sejong-ro, Sejong 30019, Republic of Korea
- Department of Food Regulatory Science, College of Science and Technology, Korea University, 2511, Sejong-ro, Sejong 30019, Republic of Korea
- Correspondence: ; Tel.: +82-44-860-1433
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Gabrielli N, Maga-Nteve C, Kafkia E, Rettel M, Loeffler J, Kamrad S, Typas A, Patil KR. Unravelling metabolic cross-feeding in a yeast-bacteria community using 13 C-based proteomics. Mol Syst Biol 2023; 19:e11501. [PMID: 36779294 PMCID: PMC10090948 DOI: 10.15252/msb.202211501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/24/2023] [Accepted: 01/25/2023] [Indexed: 02/14/2023] Open
Abstract
Cross-feeding is fundamental to the diversity and function of microbial communities. However, identification of cross-fed metabolites is often challenging due to the universality of metabolic and biosynthetic intermediates. Here, we use 13 C isotope tracing in peptides to elucidate cross-fed metabolites in co-cultures of Saccharomyces cerevisiae and Lactococcus lactis. The community was grown on lactose as the main carbon source with either glucose or galactose fraction of the molecule labelled with 13 C. Data analysis allowing for the possible mass-shifts yielded hundreds of peptides for which we could assign both species identity and labelling degree. The labelling pattern showed that the yeast utilized galactose and, to a lesser extent, lactic acid shared by L. lactis as carbon sources. While the yeast provided essential amino acids to the bacterium as expected, the data also uncovered a complex pattern of amino acid exchange. The identity of the cross-fed metabolites was further supported by metabolite labelling in the co-culture supernatant, and by diminished fitness of a galactose-negative yeast mutant in the community. Together, our results demonstrate the utility of 13 C-based proteomics for uncovering microbial interactions.
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Affiliation(s)
| | | | - Eleni Kafkia
- European Molecular Biology Laboratory, Heidelberg, Germany.,Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, UK
| | - Mandy Rettel
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Jakob Loeffler
- European Molecular Biology Laboratory, Heidelberg, Germany
| | - Stephan Kamrad
- Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, UK
| | | | - Kiran Raosaheb Patil
- European Molecular Biology Laboratory, Heidelberg, Germany.,Medical Research Council Toxicology Unit, University of Cambridge, Cambridge, UK
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15
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Sayin S, Rosener B, Li CG, Ho B, Ponomarova O, Ward DV, Walhout AJM, Mitchell A. Evolved bacterial resistance to the chemotherapy gemcitabine modulates its efficacy in co-cultured cancer cells. eLife 2023; 12:83140. [PMID: 36734518 PMCID: PMC9931390 DOI: 10.7554/elife.83140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 01/22/2023] [Indexed: 02/04/2023] Open
Abstract
Drug metabolism by the microbiome can influence anticancer treatment success. We previously suggested that chemotherapies with antimicrobial activity can select for adaptations in bacterial drug metabolism that can inadvertently influence the host's chemoresistance. We demonstrated that evolved resistance against fluoropyrimidine chemotherapy lowered its efficacy in worms feeding on drug-evolved bacteria (Rosener et al., 2020). Here, we examine a model system that captures local interactions that can occur in the tumor microenvironment. Gammaproteobacteria-colonizing pancreatic tumors can degrade the nucleoside-analog chemotherapy gemcitabine and, in doing so, can increase the tumor's chemoresistance. Using a genetic screen in Escherichia coli, we mapped all loss-of-function mutations conferring gemcitabine resistance. Surprisingly, we infer that one third of top resistance mutations increase or decrease bacterial drug breakdown and therefore can either lower or raise the gemcitabine load in the local environment. Experiments in three E. coli strains revealed that evolved adaptation converged to inactivation of the nucleoside permease NupC, an adaptation that increased the drug burden on co-cultured cancer cells. The two studies provide complementary insights on the potential impact of microbiome adaptation to chemotherapy by showing that bacteria-drug interactions can have local and systemic influence on drug activity.
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Affiliation(s)
- Serkan Sayin
- Department of Systems Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Brittany Rosener
- Department of Systems Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Carmen G Li
- Department of Systems Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Bao Ho
- Department of Systems Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Olga Ponomarova
- Department of Systems Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Doyle V Ward
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical SchoolWorcesterUnited States
- Program in Microbiome Dynamics, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Albertha JM Walhout
- Department of Systems Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
- Program in Molecular Medicine, University of Massachusetts Chan Medical SchoolWorcesterUnited States
| | - Amir Mitchell
- Department of Systems Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
- Program in Microbiome Dynamics, University of Massachusetts Chan Medical SchoolWorcesterUnited States
- Program in Molecular Medicine, University of Massachusetts Chan Medical SchoolWorcesterUnited States
- Department of Molecular, Cell and Cancer Biology, University of Massachusetts Chan Medical SchoolWorcesterUnited States
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16
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McMullen JG, Lennon JT. Mark-recapture of microorganisms. Environ Microbiol 2023; 25:150-157. [PMID: 36310117 DOI: 10.1111/1462-2920.16267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 10/27/2022] [Indexed: 01/21/2023]
Affiliation(s)
| | - Jay T Lennon
- Department of Biology, Indiana University, Bloomington, Indiana, USA
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17
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Venkatraghavan S, Anantakrishnan S, Raman K. Probing patterning in microbial consortia with a cellular automaton for spatial organisation. Sci Rep 2022; 12:17159. [PMID: 36229548 DOI: 10.1038/s41598-022-20705-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 09/16/2022] [Indexed: 01/04/2023] Open
Abstract
Microbial consortia exhibit spatial patterning across diverse environments. Since probing the self-organization of natural microbial communities is limited by their inherent complexity, synthetic models have emerged as attractive alternatives. In this study, we develop novel frameworks of bacterial communication and explore the emergent spatiotemporal organization of microbes. Specifically, we built quorum sensing-mediated models of microbial growth that are utilized to characterize the dynamics of communities from arbitrary initial configurations and establish the effectiveness of our communication strategies in coupling the growth rates of microbes. Our simulations indicate that the behavior of quorum sensing-coupled consortia can be most effectively modulated by the rates of secretion of acyl homoserine lactones. Such a mechanism of control enables the construction of desired relative populations of constituent species in spatially organized populations. Our models accurately recapitulate previous experiments that have investigated pattern formation in synthetic multi-cellular systems. Additionally, our software tool enables the easy implementation and analysis of our frameworks for a variety of initial configurations and simplifies the development of sophisticated gene circuits facilitating distributed computing. Overall, we demonstrate the potential of spatial organization as a tunable parameter in synthetic biology by introducing a communication paradigm based on the location and strength of coupling of microbial strains.
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Molina Ortiz JP, Read MN, McClure DD, Holmes A, Dehghani F, Shanahan ER. High throughput genome scale modeling predicts microbial vitamin requirements contribute to gut microbiome community structure. Gut Microbes 2022; 14:2118831. [PMID: 36081364 PMCID: PMC9480837 DOI: 10.1080/19490976.2022.2118831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Human gut microbiome structure and emergent metabolic outputs impact health outcomes. However, what drives such community characteristics remains underexplored. Here, we rely on high throughput genomic reconstruction modeling, to infer the metabolic attributes and nutritional requirements of 816 gut strains, via a framework termed GEMNAST. This has been performed in terms of a group of human vitamins to examine the role vitamin exchanges have at different levels of community organization. We find that only 91 strains can satisfy their vitamin requirements (prototrophs) while the rest show various degrees of auxotrophy/specialization, highlighting their dependence on external sources, such as other members of the microbial community. Further, 79% of the strains in our sample were mapped to 11 distinct vitamin requirement profiles with low phylogenetic consistency. Yet, we find that human gut microbial community enterotype indicators display marked metabolic differences. Prevotella strains display a metabolic profile that can be complemented by strains from other genera often associated with the Prevotella enterotype and agrarian diets, while Bacteroides strains occupy a prototrophic profile. Finally, we identify pre-defined interaction modules (IMs) of gut species from human and mice predicted to be driven by, or highly independent of vitamin exchanges. Our analysis provides mechanistic grounding to gut microbiome stability and to co-abundance-based observations, a fundamental step toward understanding emergent processes that influence health outcomes. Further, our work opens a path to future explorations in the field through applications of GEMNAST to additional nutritional dimensions.
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Affiliation(s)
- Juan P. Molina Ortiz
- School of Chemical and Biomolecular Engineering, the University of Sydney, Sydney, Australia,Centre for Advanced Food Engineering, the University of Sydney, Sydney, Australia,CONTACT Juan P. Molina Ortiz School of Chemical and Biomolecular Engineering, the University of Sydney, Sydney, Australia
| | - Mark Norman Read
- Centre for Advanced Food Engineering, the University of Sydney, Sydney, Australia,School of Computer Science, Faculty of Engineering, the University of Sydney, Sydney, Australia,Charles Perkins Centre, the University of Sydney, Sydney, Australia
| | - Dale David McClure
- School of Chemical and Biomolecular Engineering, the University of Sydney, Sydney, Australia,Centre for Advanced Food Engineering, the University of Sydney, Sydney, Australia,Department of Chemical Engineering, College of Engineering, Design and Physical Sciences, Brunel University, London, UK
| | - Andrew Holmes
- Centre for Advanced Food Engineering, the University of Sydney, Sydney, Australia,Charles Perkins Centre, the University of Sydney, Sydney, Australia,School of Life and Environmental Sciences, Faculty of Science, the University of Sydney, Sydney, Australia
| | - Fariba Dehghani
- School of Chemical and Biomolecular Engineering, the University of Sydney, Sydney, Australia,Centre for Advanced Food Engineering, the University of Sydney, Sydney, Australia
| | - Erin Rose Shanahan
- Charles Perkins Centre, the University of Sydney, Sydney, Australia,School of Life and Environmental Sciences, Faculty of Science, the University of Sydney, Sydney, Australia,Erin Rose Shanahan Charles Perkins Centre, The University of Sydney, Sydney, Australia; School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, Australia
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Abstract
All organisms rely on complex metabolites such as amino acids, nucleotides, and cofactors for essential metabolic processes. Some microbes synthesize these fundamental ingredients of life de novo, while others rely on uptake to fulfill their metabolic needs. Although certain metabolic processes are inherently "leaky," the mechanisms enabling stable metabolite provisioning among microbes in the absence of a host remain largely unclear. In particular, how can metabolite provisioning among free-living bacteria be maintained under the evolutionary pressure to economize resources? Salvaging, the process of "recycling and reusing," can be a metabolically efficient route to obtain access to required resources. Here, we show experimentally how precursor salvaging in engineered Escherichia coli populations can lead to stable, long-term metabolite provisioning. We find that salvaged cobamides (vitamin B12 and related enzyme cofactors) are readily made available to nonproducing population members, yet salvagers are strongly protected from overexploitation. We also describe a previously unnoted benefit of precursor salvaging, namely, the removal of the nonfunctional, proliferation-inhibiting precursor. As long as compatible precursors are present, any microbe possessing the terminal steps of a biosynthetic process can, in principle, forgo de novo biosynthesis in favor of salvaging. Consequently, precursor salvaging likely represents a potent, yet overlooked, alternative to de novo biosynthesis for the acquisition and provisioning of metabolites in free-living bacterial populations. IMPORTANCE Recycling gives new life to old things. Bacteria have the ability to recycle and reuse complex molecules they encounter in their environment to fulfill their basic metabolic needs in a resource-efficient way. By studying the salvaging (recycling and reusing) of vitamin B12 precursors, we found that metabolite salvaging can benefit others and provide stability to a bacterial community at the same time. Salvagers of vitamin B12 precursors freely share the result of their labor yet cannot be outcompeted by freeloaders, likely because salvagers retain preferential access to the salvaging products. Thus, salvaging may represent an effective, yet overlooked, mechanism of acquiring and provisioning nutrients in microbial populations.
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20
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Deter HS, Lu T. Engineering microbial consortia with rationally designed cellular interactions. Curr Opin Biotechnol 2022; 76:102730. [PMID: 35609504 PMCID: PMC10129393 DOI: 10.1016/j.copbio.2022.102730] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 03/22/2022] [Accepted: 04/03/2022] [Indexed: 12/14/2022]
Abstract
Synthetic microbial consortia represent a frontier of synthetic biology that promises versatile engineering of cellular functions. They are primarily developed through the design and construction of cellular interactions that coordinate individual dynamics and generate collective behaviors. Here we review recent advances in the engineering of synthetic communities through cellular-interaction programming. We first examine fundamental building blocks for intercellular communication and unidirectional positive and negative interactions. We then recap the assembly of the building blocks for creating bidirectional interactions in two-species ecosystems, which is followed by the discussion of engineering toward complex communities with increasing species numbers, under spatial contexts, and via model-guided design. We conclude by summarizing major challenges and future opportunities of engineered microbial ecosystems.
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Affiliation(s)
- Heather S Deter
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Intelligence Community Postdoctoral Research Fellowship Program, University of Illinois Urbana-Champaign, Urbana, IL, USA
| | - Ting Lu
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Physics, University of Illinois Urbana-Champaign, Urbana, IL, USA; Center for Biophysics and Quantitative Biology, University of Illinois Urbana-Champaign, Urbana, IL, USA; National Center for Supercomputing Applications, Urbana, IL, USA.
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