1
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Chuang YC, Haas NW, Pepin R, Behringer MG, Oda Y, LaSarre B, Harwood CS, McKinlay JB. Bacterial adenine cross-feeding stems from a purine salvage bottleneck. THE ISME JOURNAL 2024; 18:wrae034. [PMID: 38452196 PMCID: PMC10976475 DOI: 10.1093/ismejo/wrae034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 12/19/2023] [Accepted: 03/06/2024] [Indexed: 03/09/2024]
Abstract
Diverse ecosystems host microbial relationships that are stabilized by nutrient cross-feeding. Cross-feeding can involve metabolites that should hold value for the producer. Externalization of such communally valuable metabolites is often unexpected and difficult to predict. Previously, we discovered purine externalization by Rhodopseudomonas palustris by its ability to rescue an Escherichia coli purine auxotroph. Here we found that an E. coli purine auxotroph can stably coexist with R. palustris due to purine cross-feeding. We identified the cross-fed purine as adenine. Adenine was externalized by R. palustris under diverse growth conditions. Computational modeling suggested that adenine externalization occurs via diffusion across the cytoplasmic membrane. RNAseq analysis led us to hypothesize that adenine accumulation and externalization stem from a salvage pathway bottleneck at the enzyme encoded by apt. Ectopic expression of apt eliminated adenine externalization, supporting our hypothesis. A comparison of 49 R. palustris strains suggested that purine externalization is relatively common, with 16 strains exhibiting the trait. Purine externalization was correlated with the genomic orientation of apt, but apt orientation alone could not always explain purine externalization. Our results provide a mechanistic understanding of how a communally valuable metabolite can participate in cross-feeding. Our findings also highlight the challenge in identifying genetic signatures for metabolite externalization.
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Affiliation(s)
- Ying-Chih Chuang
- Department of Biology, Indiana University, Bloomington, IN 47405, United States
- Biochemistry Program, Indiana University, Bloomington, IN 47405, United States
| | - Nicholas W Haas
- Department of Biology, Indiana University, Bloomington, IN 47405, United States
| | - Robert Pepin
- Department of Chemistry, Indiana University, Bloomington, IN 47405, United States
| | - Megan G Behringer
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, United States
| | - Yasuhiro Oda
- Department of Microbiology, University of Washington, Seattle, WA 98195, United States
| | - Breah LaSarre
- Department of Biology, Indiana University, Bloomington, IN 47405, United States
- Department of Plant Pathology, Entomology, and Microbiology, Iowa State University, Ames, IA 50011, United States
| | - Caroline S Harwood
- Department of Microbiology, University of Washington, Seattle, WA 98195, United States
| | - James B McKinlay
- Department of Biology, Indiana University, Bloomington, IN 47405, United States
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2
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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. THE ISME JOURNAL 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] [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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3
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Abstract
The metabolism of a bacterial cell stretches beyond its boundaries, often connecting with the metabolism of other cells to form extended metabolic networks that stretch across communities, and even the globe. Among the least intuitive metabolic connections are those involving cross-feeding of canonically intracellular metabolites. How and why are these intracellular metabolites externalized? Are bacteria simply leaky? Here I consider what it means for a bacterium to be leaky, and I review mechanisms of metabolite externalization from the context of cross-feeding. Despite common claims, diffusion of most intracellular metabolites across a membrane is unlikely. Instead, passive and active transporters are likely involved, possibly purging excess metabolites as part of homeostasis. Re-acquisition of metabolites by a producer limits the opportunities for cross-feeding. However, a competitive recipient can stimulate metabolite externalization and initiate a positive-feedback loop of reciprocal cross-feeding.
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Affiliation(s)
- James B McKinlay
- Department of Biology, Indiana University, Bloomington, Indiana, USA;
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4
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Wang D, Hunt KA, Candry P, Tao X, Wofford NQ, Zhou J, McInerney MJ, Stahl DA, Tanner RS, Zhou A, Winkler M, Pan C. Cross-Feedings, Competition, and Positive and Negative Synergies in a Four-Species Synthetic Community for Anaerobic Degradation of Cellulose to Methane. mBio 2023; 14:e0318922. [PMID: 36847519 PMCID: PMC10128006 DOI: 10.1128/mbio.03189-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 01/18/2023] [Indexed: 03/01/2023] Open
Abstract
Complex interactions exist among microorganisms in a community to carry out ecological processes and adapt to changing environments. Here, we constructed a quad-culture consisting of a cellulolytic bacterium (Ruminiclostridium cellulolyticum), a hydrogenotrophic methanogen (Methanospirillum hungatei), an acetoclastic methanogen (Methanosaeta concilii), and a sulfate-reducing bacterium (Desulfovibrio vulgaris). The four microorganisms in the quad-culture cooperated via cross-feeding to produce methane using cellulose as the only carbon source and electron donor. The community metabolism of the quad-culture was compared with those of the R. cellulolyticum-containing tri-cultures, bi-cultures, and mono-culture. Methane production was higher in the quad-culture than the sum of the increases in the tri-cultures, which was attributed to a positive synergy of four species. In contrast, cellulose degradation by the quad-culture was lower than the additive effects of the tri-cultures which represented a negative synergy. The community metabolism of the quad-culture was compared between a control condition and a treatment condition with sulfate addition using metaproteomics and metabolic profiling. Sulfate addition enhanced sulfate reduction and decreased methane and CO2 productions. The cross-feeding fluxes in the quad-culture in the two conditions were modeled using a community stoichiometric model. Sulfate addition strengthened metabolic handoffs from R. cellulolyticum to M. concilii and D. vulgaris and intensified substrate competition between M. hungatei and D. vulgaris. Overall, this study uncovered emergent properties of higher-order microbial interactions using a four-species synthetic community. IMPORTANCE A synthetic community was designed using four microbial species that together performed distinct key metabolic processes in the anaerobic degradation of cellulose to methane and CO2. The microorganisms exhibited expected interactions, such as cross-feeding of acetate from a cellulolytic bacterium to an acetoclastic methanogen and competition of H2 between a sulfate reducing bacterium and a hydrogenotrophic methanogen. This validated our rational design of the interactions between microorganisms based on their metabolic roles. More interestingly, we also found positive and negative synergies as emergent properties of high-order microbial interactions among three or more microorganisms in cocultures. These microbial interactions can be quantitatively measured by adding and removing specific members. A community stoichiometric model was constructed to represent the fluxes in the community metabolic network. This study paved the way toward a more predictive understanding of the impact of environmental perturbations on microbial interactions sustaining geochemically significant processes in natural systems.
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Affiliation(s)
- Dongyu Wang
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
| | - Kristopher A. Hunt
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA
| | - Pieter Candry
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA
| | - Xuanyu Tao
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
- Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA
| | - Neil Q. Wofford
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
| | - Jizhong Zhou
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
- Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA
- School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, Oklahoma, USA
- Earth and Environmental Sciences, Lawrence Berkeley National Laboratory, Berkeley, California, USA
- School of Computer Science, University of Oklahoma, Norman, Oklahoma, USA
| | - Michael J. McInerney
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
| | - David A. Stahl
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA
| | - Ralph S. Tanner
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
| | - Aifen Zhou
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
- Institute for Environmental Genomics, University of Oklahoma, Norman, Oklahoma, USA
| | - Mari Winkler
- Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA
| | - Chongle Pan
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
- School of Computer Science, University of Oklahoma, Norman, Oklahoma, USA
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Porphyromonas gingivalis Tyrosine Kinase Is a Fitness Determinant in Polymicrobial Infections. Infect Immun 2022; 90:e0017022. [PMID: 35575504 PMCID: PMC9202411 DOI: 10.1128/iai.00170-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Many pathogenic microbial ecosystems are polymicrobial, and community function can be shaped by interbacterial interactions. Little is known, however, regarding the genetic determinants required for fitness in heterotypic community environments. In periodontal diseases, Porphyromonas gingivalis is a primary pathogen, but only within polymicrobial communities. Here, we used a transposon sequencing (Tn-Seq) library of P. gingivalis to screen for genes that influence fitness of the organism in a coinfection murine abscess model with the oral partner species Streptococcus gordonii and Fusobacterium nucleatum. Genes impacting fitness with either organism were involved in diverse processes, including metabolism and energy production, along with cell wall and membrane biogenesis. Despite the overall similarity of function, the majority of identified genes were specific to the partner species, indicating that synergistic mechanisms of P. gingivalis vary to a large extent according to community composition. Only two genes were identified as essential for P. gingivalis fitness in abscess development with both S. gordonii and F. nucleatum: ptk1, encoding a tyrosine kinase, and inlJ, encoding an internalin family surface protein. Ptk1, but not InlJ, is required for community development with S. gordonii, and we found that the action of this kinase is similarly required for P. gingivalis to accumulate in a community with F. nucleatum. A limited number of P. gingivalis genes are therefore required for species-independent synergy, and the Ptk1 tyrosine kinase network may integrate and coordinate input from multiple organisms.
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6
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Liang Y, Ma A, Zhuang G. Construction of Environmental Synthetic Microbial Consortia: Based on Engineering and Ecological Principles. Front Microbiol 2022; 13:829717. [PMID: 35283862 PMCID: PMC8905317 DOI: 10.3389/fmicb.2022.829717] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 01/31/2022] [Indexed: 01/30/2023] Open
Abstract
In synthetic biology, engineering principles are applied to system design. The development of synthetic microbial consortia represents the intersection of synthetic biology and microbiology. Synthetic community systems are constructed by co-cultivating two or more microorganisms under certain environmental conditions, with broad applications in many fields including ecological restoration and ecological theory. Synthetic microbial consortia tend to have high biological processing efficiencies, because the division of labor reduces the metabolic burden of individual members. In this review, we focus on the environmental applications of synthetic microbial consortia. Although there are many strategies for the construction of synthetic microbial consortia, we mainly introduce the most widely used construction principles based on cross-feeding. Additionally, we propose methods for constructing synthetic microbial consortia based on traits and spatial structure from the perspective of ecology to provide a basis for future work.
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Affiliation(s)
- Yu Liang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Anzhou Ma
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, China
| | - Guoqiang Zhuang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China
- College of Resource and Environment, University of Chinese Academy of Sciences, Beijing, China
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7
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Pierce EC, Dutton RJ. Putting microbial interactions back into community contexts. Curr Opin Microbiol 2022; 65:56-63. [PMID: 34739927 DOI: 10.1016/j.mib.2021.10.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Revised: 08/31/2021] [Accepted: 10/08/2021] [Indexed: 02/05/2023]
Abstract
Microbial interactions are key aspects of the biology of microbiomes. Recently, there has been a shift in the field towards studying interactions in more representative contexts, whether using multispecies model microbial communities or by looking at interactions in situ. Across diverse microbial systems, these studies have begun to identify common interaction mechanisms. These mechanisms include interactions related to toxic molecules, nutrient competition and cross-feeding, access to metals, signaling pathways, pH changes, and interactions within biofilms. Leveraging technological innovations, many of these studies have used an interdisciplinary approach combining genetic, metabolomic, imaging, and/or microfluidic techniques to gain insight into mechanisms of microbial interactions and into the impact of these interactions on microbiomes.
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Affiliation(s)
- Emily C Pierce
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Rachel J Dutton
- Division of Biological Sciences, University of California, San Diego, La Jolla, CA, USA; Center for Microbiome Innovation, Jacobs School of Engineering, University of California, San Diego, La Jolla, USA.
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8
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Noto Guillen M, Rosener B, Sayin S, Mitchell A. Assembling stable syntrophic Escherichia coli communities by comprehensively identifying beneficiaries of secreted goods. Cell Syst 2021; 12:1064-1078.e7. [PMID: 34469744 PMCID: PMC8602757 DOI: 10.1016/j.cels.2021.08.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/18/2021] [Accepted: 08/03/2021] [Indexed: 11/16/2022]
Abstract
Metabolic cross-feeding frequently underlies mutualistic relationships in natural microbial communities and is often exploited to assemble synthetic microbial consortia. We systematically identified all single-gene knockouts suitable for imposing cross-feeding in Escherichia coli and used this information to assemble syntrophic communities. Most strains benefiting from shared goods were dysfunctional in biosynthesis of amino acids, nucleotides, and vitamins or mutants in central carbon metabolism. We tested cross-feeding potency in 1,444 strain pairs and mapped the interaction network between all functional groups of mutants. This network revealed that auxotrophs for vitamins are optimal cooperators. Lastly, we monitored how assemblies composed of dozens of auxotrophs change over time and observed that they rapidly and repeatedly coalesced to seven strain consortia composed primarily from vitamin auxotrophs. The composition of emerging consortia suggests that they were stabilized by multiple cross-feeding interactions. We conclude that vitamins are ideal shared goods since they optimize consortium growth while still imposing member co-dependence.
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Affiliation(s)
- Mariana Noto Guillen
- Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Brittany Rosener
- Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Serkan Sayin
- Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA
| | - Amir Mitchell
- Program in Systems Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA; Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01655, USA; Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA 01655, USA.
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9
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Blair EM, Dickson KL, O'Malley MA. Microbial communities and their enzymes facilitate degradation of recalcitrant polymers in anaerobic digestion. Curr Opin Microbiol 2021; 64:100-108. [PMID: 34700124 DOI: 10.1016/j.mib.2021.09.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 09/21/2021] [Indexed: 11/15/2022]
Abstract
Microbial consortia efficiently degrade complex biopolymers found in the organic fraction of municipal solid waste (OFMSW). Through enzyme production and division of labor during anaerobic digestion, microbial communities break down recalcitrant polymers and make fermentation products, including methane. However, microbial communities remain underutilized for waste degradation as it remains difficult to characterize and predict microbial interactions during waste breakdown, especially as cultivation conditions change drastically throughout anaerobic digestion. This review discusses recent progress and opportunities in cultivating natural and engineered consortia for OFMSW hydrolysis, including how recalcitrant substrates are degraded by enzymes as well as the critical factors that govern microbial interactions and culture stability. Methods to measure substrate degradation are also reviewed, and we demonstrate the need for increased standardization to enable comparisons across different environments.
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Affiliation(s)
- Elaina M Blair
- Department of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA
| | - Katharine L Dickson
- Department of Molecular, Cellular, and Developmental Biology, University of California, Santa Barbara, CA, 93106, USA
| | - Michelle A O'Malley
- Department of Chemical Engineering, University of California, Santa Barbara, CA, 93106, USA; Joint BioEnergy Institute (JBEI), Emeryville, CA, 94608, USA.
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10
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Fritts RK, McCully AL, McKinlay JB. Extracellular Metabolism Sets the Table for Microbial Cross-Feeding. Microbiol Mol Biol Rev 2021; 85:e00135-20. [PMID: 33441489 PMCID: PMC7849352 DOI: 10.1128/mmbr.00135-20] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
The transfer of nutrients between cells, or cross-feeding, is a ubiquitous feature of microbial communities with emergent properties that influence our health and orchestrate global biogeochemical cycles. Cross-feeding inevitably involves the externalization of molecules. Some of these molecules directly serve as cross-fed nutrients, while others can facilitate cross-feeding. Altogether, externalized molecules that promote cross-feeding are diverse in structure, ranging from small molecules to macromolecules. The functions of these molecules are equally diverse, encompassing waste products, enzymes, toxins, signaling molecules, biofilm components, and nutrients of high value to most microbes, including the producer cell. As diverse as the externalized and transferred molecules are the cross-feeding relationships that can be derived from them. Many cross-feeding relationships can be summarized as cooperative but are also subject to exploitation. Even those relationships that appear to be cooperative exhibit some level of competition between partners. In this review, we summarize the major types of actively secreted, passively excreted, and directly transferred molecules that either form the basis of cross-feeding relationships or facilitate them. Drawing on examples from both natural and synthetic communities, we explore how the interplay between microbial physiology, environmental parameters, and the diverse functional attributes of extracellular molecules can influence cross-feeding dynamics. Though microbial cross-feeding interactions represent a burgeoning field of interest, we may have only begun to scratch the surface.
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Affiliation(s)
- Ryan K Fritts
- Department of Biology, Indiana University, Bloomington, Indiana, USA
| | | | - James B McKinlay
- Department of Biology, Indiana University, Bloomington, Indiana, USA
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11
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Lindemann SR. A piece of the pie: engineering microbiomes by exploiting division of labor in complex polysaccharide consumption. Curr Opin Chem Eng 2020; 30:96-102. [PMID: 32968619 PMCID: PMC7505235 DOI: 10.1016/j.coche.2020.08.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Although microbes competing for simple substrates are well-known to obey the ecological competitive exclusion principle, little is known regarding how complex substrates influence the ecology of microbial communities. The vast structural diversity of polysaccharides makes them ideal substrates for cooperative microbial degradation. Potential mechanisms for division of metabolic labor in microbial communities consuming polysaccharides are 1) complementary differences in gene content, 2) alternate regulation of polysaccharide degradation genes, 3) subtle differences in hydrolytic enzyme functionality, and 4) specialization in transport and consumption of hydrolysis products. Engineering division of labor in polysaccharide degradation using these mechanisms as control points may improve our ability to engineer microbiomes for improved productivity and stability in diverse environments.
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Affiliation(s)
- Stephen R. Lindemann
- Whistler Center for Carbohydrate Research, Department of Food Science, Purdue University, West Lafayette, IN 47907 USA
- Department of Nutrition Science, Purdue University, West Lafayette, IN 47907 USA
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12
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McKinlay JB, Cook GM, Hards K. Microbial energy management-A product of three broad tradeoffs. Adv Microb Physiol 2020; 77:139-185. [PMID: 34756210 DOI: 10.1016/bs.ampbs.2020.09.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Wherever thermodynamics allows, microbial life has evolved to transform and harness energy. Microbial life thus abounds in the most unexpected places, enabled by profound metabolic diversity. Within this diversity, energy is transformed primarily through variations on a few core mechanisms. Energy is further managed by the physiological processes of cell growth and maintenance that use energy. Some aspects of microbial physiology are streamlined for energetic efficiency while other aspects seem suboptimal or even wasteful. We propose that the energy that a microbe harnesses and devotes to growth and maintenance is a product of three broad tradeoffs: (i) economic, trading enzyme synthesis or operational cost for functional benefit, (ii) environmental, trading optimization for a single environment for adaptability to multiple environments, and (iii) thermodynamic, trading energetic yield for forward metabolic flux. Consideration of these tradeoffs allows one to reconcile features of microbial physiology that seem to opposingly promote either energetic efficiency or waste.
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Affiliation(s)
- James B McKinlay
- Department of Biology, Indiana University, Bloomington, IN, United States.
| | - Gregory M Cook
- Department of Microbiology and Immunology, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand
| | - Kiel Hards
- Department of Microbiology and Immunology, School of Biomedical Sciences, University of Otago, Dunedin, New Zealand; Maurice Wilkins Centre for Molecular Biodiscovery, The University of Auckland, Auckland, New Zealand
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13
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Morinière L, Lecomte S, Gueguen E, Bertolla F. In vitro exploration of the Xanthomonas hortorum pv. vitians genome using transposon insertion sequencing and comparative genomics to discriminate between core and contextual essential genes. Microb Genom 2019; 7. [PMID: 33760724 PMCID: PMC8627662 DOI: 10.1099/mgen.0.000546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
The essential genome of a bacterium encompasses core genes associated with basic cellular processes and conditionally essential genes dependent upon environmental conditions or the genetic context. Comprehensive knowledge of those gene sets allows for a better understanding of fundamental bacterial biology and offers new perspectives for antimicrobial drug research against detrimental bacteria such as pathogens. We investigated the essential genome of Xanthomonas hortorum pv. vitians, a gammaproteobacterial plant pathogen of lettuce (Lactuca sativa L.) which belongs to the plant-pathogen reservoir genus Xanthomonas and is affiliated to the family Xanthomonadaceae. No practical means of disease control or prevention against this pathogen is currently available, and its molecular biology is virtually unknown. To reach a comprehensive overview of the essential genome of X. hortorum pv. vitians LM16734, we developed a mixed approach combining high-quality full genome sequencing, saturated transposon insertion sequencing (Tn-Seq) in optimal growth conditions, and coupled computational analyses such as comparative genomics, synteny assessment and phylogenomics. Among the 370 essential loci identified by Tn-Seq, a majority was bound to critical cell processes conserved across bacteria. The remaining genes were either related to specific ecological features of Xanthomonas or Xanthomonadaceae species, or acquired through horizontal gene transfer of mobile genetic elements and associated with ancestral parasitic gene behaviour and bacterial defence systems. Our study sheds new light on our usual concepts about gene essentiality and is pioneering in the molecular and genomic study of X. hortorum pv. vitians.
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Affiliation(s)
- Lucas Morinière
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, INRAE, VetAgro Sup, UMR Ecologie Microbienne, F 69622 Villeurbanne, France
| | - Solène Lecomte
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, INRAE, VetAgro Sup, UMR Ecologie Microbienne, F 69622 Villeurbanne, France
| | - Erwan Gueguen
- Univ Lyon, Université Claude Bernard Lyon 1, INSA, CNRS, UMR Microbiologie, Adaptation, Pathogénie, F 69622 Villeurbanne, France
| | - Franck Bertolla
- Univ Lyon, Université Claude Bernard Lyon 1, CNRS, INRAE, VetAgro Sup, UMR Ecologie Microbienne, F 69622 Villeurbanne, France
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