Healthy gut microbiomes are host-controllable microbiomes DOI Creative Commons
Théodore Bouchez, Bin Liu, Daniel Garza

et al.

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 8, 2025

Introduction"The instinct of each species is good for itself but has never, as far we can judge, been produced the exclusive others" (1). Why, then, do humans and other mammals benefit from their microbes?Evolutionary theory predicts that natural selection act at organizational levels higher than gene or individual—such on groups even species—provided selective advantages group outweigh evolutionary conflicts. Darwin suggested "on family, not individual," "for sake gaining a serviceable end" This idea was later formalized kin (2). Even distantly related organisms align goals, demonstrated by longstanding partnership between eukaryotic cells mitochondria (3).Microbes are an integral part animal plant hosts, fulfilling essential physiological roles, such enabling access to otherwise unavailable nutrients, training immune system, supporting mucosal development, providing protection. Some microbes vertically transmitted parents offspring. The numerous examples performing vital functions macrobial hosts makes it tempting assume residing within our bodies—particularly in guts—evolved share common interests potential conflicts (4–7). Supporting this assumption, several reports suggest selected harboring "good" these thrive helping example, contributing over 95% organism's genetic repertoire (7–9). But group-level necessary sufficient mechanism explain why microbiomes hosts?Microbes certainly influence host's chances survival reproductive success (10,11) reasons would reduce own fitness form evolutionarily aligned with microbial populations—an condition selection—are easily explained (12,13). For during 25-year human generation, gut undergo more 50,000 generations (assuming conservative four-hour generation time), competing thousands species. Roughly half bacterial biomass colon lost daily replaced new growth (14,15). Before reproduces, any trait unfavorable microbe's likely be eliminated. Moreover, relatively open regularly exposed diverse environmental microbes. Vertical transmission accounts only small fraction microbiome. About twenty consistently shared among most adults (16). How, evolution shaped diverse, rapidly evolving ecosystem individual health?One might argue microbes, host mitigates conflicts, encouraging sacrifice some benefit. However, evolve, genotypes similar needs emerge exploit host-provided without incurring costs—an example tragedy commons (17). These benefits all compatible whether they contribute well-being, creating imbalance contributors free riders. A rider, could bacterium feeds mucin glycans provided while invading tissue potentially causing severe illness.Why, microbes? recent model Sharp & Foster suggests one way overcome conundrum evolve mechanisms actively control limit opportunities evade (18). require enforcement policing maintain cooperation (19). In view, "beneficial" ability healthy state. words, favor microbiome engineers—or, accurately, tinkerers (20)—who make use various methods reach landscape sustain include responses ranging rudimentary inflammation diarrhea sophisticated driven adaptive system. From perspective, theory—the study how systems regulate themselves achieve desired outcomes—parallels host-microbial interactions, suggesting be, definition, host-controllable microbiomes.Will large complex stable?In 1970s, writing Nature, Robert May proposed stability ecosystems complexity increases, particularly number strength interactions grow (21). analyzed simplified Generalized Lotka-Volterra (GLV) explore concept. simulates random communities where population sizes constrained resource availability (represented negative self-interactions) mutual positive influences another's growth. According GLV model, assembled predicted remain stable when sufficiently weak strong confined few (Figure 1). GLV-like models commonly applied microbiomes, stability/complexity trade-offs assumed hold (22,23). May's introducing controller—an agent directs system toward predetermined objective, through energy expenditure—is continuously stabilize unstable reshape stability-complexity Figure 1. Fraction controller 10,000 simulations. Random were simulated increasing interaction strengths numbers Each dot represents hundred simulations colored according resulted Dark blue dots indicate cases 100 unstable, dark red stable. white transition zone intermediate stability. results show adding controller—here idealized device senses microbiome's current composition adjusts rates guide composition—significantly increases range microbiomes. Stability, defined here following original refers returns equilibrium after perturbation based signs eigenvalues Jacobian matrix point. Increased diversity generally associated gut. patients suffering pathogen invasions, inflammation, colitis, inflammatory bowel disease, colorectal cancer reduced alpha compared controls. Similarly, factors aging, obesity, Western diet, urbanization also linked decline (24). Diversity necessarily cause microbiome, rather consequence indirect evidence control. effectively drives state, which, state occur absence (due, constraints). case, impaired, declines. biological systems, active instead diversity. laboratory techniques like media dilution-to-extinction procedures, which isolate single strains, antibiotics, physical barriers, extreme pH, heat conditions similarly nature, see reducing diversity, Hawaiian bobtail squid, isolates Vibrio fischeri ocean its light organ (25). less often appreciated promote greater control.An intriguing underexplored perspective controls declining may signal loss controllability, instance, established reactors simulate gastrointestinal tract significantly stool inocula (26). Although replicate physicochemical flow gut, lack host-control mechanisms, dynamically regulated factors. Overall, viewing interconnected, island-like ecosystem—where serves patch colonized dispersal, local diversification, selection, drift (27)—becomes clearer consider processes active, energy-expending efforts target composition, functions.Beyond extends "state-space," includes populations biochemical activities. ideal scenario tight, full-state control, both abundance function population, including chemical outputs inputs. realistic involves limited, partial-state exerts varying degrees distinct aspects state-space. theoretical framework controlled targeting specific sets referred "minimal elements" (28). achieved leveraging species-species chains connecting external controllers intrinsic dynamics community still lacks empirical validation, highlights identifying elements restore dysbiotic microbiome.How helps microbiomesThe mammalian contains (29,30), categorized into microbiome-independent microbiome-dependent processes. transit time ranges two five hours intestine ten fifty-nine (31). parameters directly microbiome—favoring absorption fermentation intestine—but independent sensing features. open-loop (32)—that is, operate feedback itself. By contrast, system's features exemplifies closed-loop controller, actions dynamics. Evolving allowed fine-tune maximize large, densely populated meta-study comparing cultures fresh samples that, degrees, environment (e.g., SHIME, TIM-2) found interindividual variation inoculum primary driver (33)—i.e., outweighs pressure exerted reactor's operational design (biotope). ensures widely different, personalized communities, lifetime, continue perform despite variability.Controllability observability fundamental controlIf then need experimental elucidate control: (which state-space observe?) controllability states inputs, ideally finite time?). Numerous studies associate high consumption simple sugars low dietary fiber intake underlying debated. One possible explanation observability.Experiments synthetic substrates result history dependence, diverge taxonomic (34–36). lead deterministic compositions, (37). Put simply, multiple grown substrates, isolated same source maintained under identical (35). subset correspond communities. states. tend converge compositions metabolic profiles, regardless sources (37,38). scenario, outside reach. richness respond poorly therapeutic interventions, restriction immunotherapy (39).Controllability inherently dependent observability. Specifically, colonization events educate recognize pathogens enhance monitor Bacteroides fragilis produces immunomodulatory polysaccharide germ-free mice, trains protect against Helicobacter hepaticus, responsible colitis immunocompromised animals (40,41). Another segmented filamentous bacteria (SFB) (Candidatus Arthromitus), species-specific guts vertebrates. SFB forms millimeter-long filaments attach ileal epithelium via specialized cell called holdfast, triggering (42). species, peaks early life (43), future invasive pathogens.Interestingly, occupies spatial gradient cable bacteria, oxygen-rich anoxic lumen. morphology—long, single-layered filaments—it remains tested plays ecological role conducting electrons zones (44) sharing them (45). Ericsson colleagues observed mice exoelectrogenic fuel cells, though electrodes (46). Their showed differences electrical production exoelectrogens predictive lymphocyte trafficking unique signatures locations unusual signatures. adapting response redox gradients, observe react changes state-space.Host-microbiome dynamics: Pinocchio GeppettoOverall, incurs costs host, gathering information acting information. minimize invest reproduction. Over different timescales, arms race develops populations: efficient, cost-effective strategies, ways control—especially restricts (29). systemic counter invasion. When triggered, reactive oxygen released. opportunistic tolerating released hydrogen peroxide expressing molecular machinery allows absorb cytoplasm. There, quickly convert respiratory chain, giving advantage fermentative (47). Salmonella enterica serotype Typhimurium goes step further. Under normal conditions, detoxifies sulfide, quantities microbiota, converting thiosulfate. During thiosulfate tetrathionate, S. respires (48), feeding defense mechanisms.A healthy, symbiotic regulatory ensure beneficial function. arises impaired—whether because becomes unreachable, cues become unobservable, (effectors) ineffective. Geppetto (49); instead, attempt them. Like Pinocchio, strive—and succeed—to

Language: Английский

Metabolic interaction models recapitulate leaf microbiota ecology DOI
Martin Schäfer, Alan R. Pacheco, Rahel Künzler

et al.

Science, Journal Year: 2023, Volume and Issue: 381(6653)

Published: July 6, 2023

Resource allocation affects the structure of microbiomes, including those associated with living hosts. Understanding degree to which this dependency determines interspecies interactions may advance efforts control host-microbiome relationships. We combined synthetic community experiments computational models predict interaction outcomes between plant-associated bacteria. mapped metabolic capabilities 224 leaf isolates from Arabidopsis thaliana by assessing growth each strain on 45 environmentally relevant carbon sources in vitro. used these data build curated genome-scale for all strains, we simulate >17,500 interactions. The recapitulated observed planta >89% accuracy, highlighting role utilization and contributions niche partitioning cross-feeding assembly microbiomes.

Language: Английский

Citations

79

Emergent coexistence in multispecies microbial communities DOI
Chang‐Yu Chang, Djordje Bajić, Jean C. C. Vila

et al.

Science, Journal Year: 2023, Volume and Issue: 381(6655), P. 343 - 348

Published: July 20, 2023

Understanding the mechanisms that maintain microbial biodiversity is a critical aspiration in ecology. Past work on coexistence has largely focused species pairs, but it unclear whether pairwise isolation required for multispecies community. To address this question, we conducted hundreds of competition experiments among stably coexisting members 12 different enrichment communities vitro. determine outcomes these experiments, developed an automated image analysis pipeline to quantify abundances. We found competitive exclusion was most common outcome, and strongly hierarchical transitive. Because many coexist within stable community fail co-culture under identical conditions, concluded emergent phenomenon. This highlights importance context understanding origins complex ecosystems.

Language: Английский

Citations

79

The community-function landscape of microbial consortia DOI Creative Commons

Álvaro Sánchez,

Djordje Bajić, Juan Díaz‐Colunga

et al.

Cell Systems, Journal Year: 2023, Volume and Issue: 14(2), P. 122 - 134

Published: Feb. 1, 2023

Language: Английский

Citations

60

Genome content predicts the carbon catabolic preferences of heterotrophic bacteria DOI
Matti Gralka, Shaul Pollak, Otto X. Cordero

et al.

Nature Microbiology, Journal Year: 2023, Volume and Issue: 8(10), P. 1799 - 1808

Published: Aug. 31, 2023

Language: Английский

Citations

52

Sugar transporters spatially organize microbiota colonization along the longitudinal root axis of Arabidopsis DOI Creative Commons
Eliza P.I. Loo, Paloma Durán, Tin Yau Pang

et al.

Cell Host & Microbe, Journal Year: 2024, Volume and Issue: 32(4), P. 543 - 556.e6

Published: March 12, 2024

Plant roots are functionally heterogeneous in cellular architecture, transcriptome profile, metabolic state, and microbial immunity. We hypothesized that axial differentiation may also impact spatial colonization by root microbiota along the axis. developed two growth systems, ArtSoil CD-Rhizotron, to grow then dissect Arabidopsis thaliana into three segments. demonstrate distinct endospheric rhizosphere bacterial communities colonize segments, supporting hypothesis of Root metabolite profiling each segment reveals differential enrichment specificity. Bioinformatic analyses GUS histochemistry indicate microbe-induced accumulation SWEET2, 4, 12 sugar uniporters. Profiling segments from sweet mutants shows altered profiles reorganization microbiota. This work interdependency between metabolites contribution SWEETs diversity stability ecosystem.

Language: Английский

Citations

22

Structured community transitions explain the switching capacity of microbial systems DOI
C.L. Long, Jie Deng,

Jen Nguyen

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(6)

Published: Jan. 29, 2024

Microbial systems appear to exhibit a relatively high switching capacity of moving back and forth among few dominant communities (taxon memberships). While this behavior has been mainly attributed random environmental factors, it remains unclear the extent which internal community dynamics affect microbial systems. Here, we integrate ecological theory empirical data demonstrate that structured transitions increase dependency future on current taxon membership, enhancing Following structuralist approach, propose each is feasible within unique domain in parameter space. Then, between any two can happen with probability proportional size their feasibility domains inversely distance space—which be treated as special case gravity model. We detect broad classes transitions: one class where across wide range sizes another only inside narrow range. corroborate our using temporal gut oral microbiota (belonging 1) well vaginal ocean 2). These results reveal topology space relevant property understand changing This knowledge potentially used at operating

Language: Английский

Citations

18

Genome-scale community modelling reveals conserved metabolic cross-feedings in epipelagic bacterioplankton communities DOI Creative Commons
Nils Giordano, Marinna Gaudin, Camille Trottier

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 28, 2024

Abstract Marine microorganisms form complex communities of interacting organisms that influence central ecosystem functions in the ocean such as primary production and nutrient cycling. Identifying mechanisms controlling their assembly activities is a major challenge microbial ecology. Here, we integrated Tara Oceans meta-omics data to predict genome-scale community interactions within prokaryotic assemblages euphotic ocean. A global genome-resolved co-activity network revealed significant number inter-lineage associations across diverse phylogenetic distances. Identified co-active include species displaying smaller genomes but encoding higher potential for quorum sensing, biofilm formation, secondary metabolism. Community metabolic modelling reveals interaction points towards conserved cross-feedings, particular specific amino acids group B vitamins. Our ecological approach suggests genome streamlining auxotrophies may act joint shaping bacterioplankton surface.

Language: Английский

Citations

16

Metabolic cross-feeding structures the assembly of polysaccharide degrading communities DOI Creative Commons
Sammy Pontrelli, Rachel E. Szabo, Shaul Pollak

et al.

Science Advances, Journal Year: 2022, Volume and Issue: 8(8)

Published: Feb. 23, 2022

Metabolic processes that fuel the growth of heterotrophic microbial communities are initiated by specialized biopolymer degraders decompose complex forms organic matter. It is unclear, however, to what extent structure downstream assembly community follows polymer breakdown. Investigating a model marine degrades chitin, we show chitinases secreted different produce oligomers specific chain lengths not only select for consumers but also influence metabolites these into shared resource pool. Each species participating in breakdown cascade exhibits unique hierarchical preferences substrates, which underlies sequential colonization metabolically distinct groups as availability changes over time. By identifying metabolic underpinnings assembly, reveal cross-feeding allows shape dynamics assembly.

Language: Английский

Citations

69

Top-down and bottom-up cohesiveness in microbial community coalescence DOI Creative Commons
Juan Díaz‐Colunga, Nanxi Lu, Alicia Sánchez-Gorostiaga

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2022, Volume and Issue: 119(6)

Published: Feb. 1, 2022

Significance In the microbial world, it is common for previously isolated communities to come in contact with one another. This phenomenon known as community coalescence. Despite being a key process assembly of communities, little about mechanisms that determine its outcomes. Here we present an experimental system allowed us study over 100 coalescence events between segregated microbiomes. Our results, predicted by mathematical model, provide direct evidence ecological coselection: situation where members recruit another during combined and theoretical framework represents powerful tool predict outcomes interrogate

Language: Английский

Citations

66

Stress-induced metabolic exchanges between complementary bacterial types underly a dynamic mechanism of inter-species stress resistance DOI Creative Commons
Kapil Amarnath, Avaneesh V. Narla, Sammy Pontrelli

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: May 31, 2023

Metabolic cross-feeding plays vital roles in promoting ecological diversity. While some microbes depend on exchanges of essential nutrients for growth, the forces driving extensive needed to support coexistence free-living are poorly understood. Here we characterize bacterial physiology under self-acidification and establish that excretion key metabolites following growth arrest provides a collaborative, inter-species mechanism stress resistance. This collaboration occurs not only between species isolated from same community, but also unrelated with complementary (glycolytic vs. gluconeogenic) modes metabolism. Cultures such communities progress through distinct phases growth-dilution cycles, comprising exponential acidification-triggered arrest, collaborative deacidification, recovery, each phase involving different combinations physiological states individual species. Our findings challenge steady-state view ecosystems commonly portrayed models, offering an alternative dynamical based advantages phases.

Language: Английский

Citations

32