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

Cooperative growth in microbial communities is a driver of multistability DOI Creative Commons
William Lopes, Daniel R. Amor, Jeff Gore

et al.

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

Published: June 3, 2024

Abstract Microbial communities often exhibit more than one possible stable composition for the same set of external conditions. In human microbiome, these persistent changes in species and abundance are associated with health disease states, but drivers alternative states remain unclear. Here we experimentally demonstrate that a cross-kingdom community, composed six relevant to respiratory tract, displays four each dominated by different species. pairwise coculture, observe widespread bistability among pairs, providing natural origin multistability full community. contrast common association between antagonism, experiments reveal many positive interactions within community members. We find multiple display cooperative growth, modeling predicts this could drive observed as well non-canonical outcomes. A biochemical screening reveals glutamate either reduces or eliminates cooperativity growth several species, confirm such supplementation extent across pairs Our findings provide mechanistic explanation how rather competitive can underlie microbial communities.

Language: Английский

Citations

12

Deterministic and stochastic processes generating alternative states of microbiomes DOI Creative Commons
Ibuki Hayashi, Hiroaki Fujita, Hirokazu Toju

et al.

ISME Communications, Journal Year: 2024, Volume and Issue: 4(1)

Published: Jan. 1, 2024

Abstract The structure of microbiomes is often classified into discrete or semi-discrete types potentially differing in community-scale functional profiles. Elucidating the mechanisms that generate such “alternative states” microbiome compositions has been one major challenges ecology and microbiology. In a time-series analysis experimental microbiomes, we here show both deterministic stochastic ecological processes drive divergence alternative states. We introduced species-rich soil-derived eight culture media with 48 replicates, monitoring shifts community at six time points (8 × replicates 6 = 2304 samples). then confirmed microbial diverged few state each medium conditions as predicted presence processes. other words, was differentiated small number reproducible under same environment. This fact indicates not only selective forces leading to specific equilibria resource use but also influence demographic drift (fluctuations) on assembly. A reference-genome-based further suggested observed states differed ecosystem-level functions. These findings will help us examine how functions can be controlled by changing “stability landscapes” compositions.

Language: Английский

Citations

11

Metabolic complexity drives divergence in microbial communities DOI
Michael Silverstein, Jennifer Bhatnagar, Daniel Segrè

et al.

Nature Ecology & Evolution, Journal Year: 2024, Volume and Issue: 8(8), P. 1493 - 1504

Published: July 2, 2024

Language: Английский

Citations

9

Guided by the principles of microbiome engineering: Accomplishments and perspectives for environmental use DOI
Haiyang Hu, Miaoxiao Wang,

Yiqun Huang

et al.

mLife, Journal Year: 2022, Volume and Issue: 1(4), P. 382 - 398

Published: Nov. 3, 2022

Although the accomplishments of microbiome engineering highlight its significance for targeted manipulation microbial communities, knowledge and technical gaps still limit applications in biotechnology, especially environmental use. Addressing challenges refractory pollutants fluctuating conditions requires an adequate understanding theoretical achievements practical engineering. Here, we review recent cutting-edge studies on strategies their classical bioremediation. Moreover, a framework is summarized combining both top-down bottom-up approaches toward improved applications. A strategy to engineer microbiomes use, which avoids build-up toxic intermediates that pose risk human health, suggested. We anticipate highlighted will be beneficial address difficult such as degrading multiple sustain performance engineered situ with indigenous microorganisms under conditions.

Language: Английский

Citations

33

Diauxic lags explain unexpected coexistence in multi‐resource environments DOI
Blox Bloxham, Hyunseok Lee, Jeff Gore

et al.

Molecular Systems Biology, Journal Year: 2022, Volume and Issue: 18(5)

Published: May 1, 2022

Language: Английский

Citations

29

Assembly of gut-derived bacterial communities follows “early-bird” resource utilization dynamics DOI Open Access
Andrés Aranda-Díaz, Lisa Willis, Taylor H. Nguyen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 14, 2023

Diet can impact host health through changes to the gut microbiota, yet we lack mechanistic understanding linking nutrient availability and microbiota composition. Here, use thousands of microbial communities cultured in vitro from human feces uncover simple assembly rules develop a predictive model community composition upon addition single nutrients central carbon metabolism complex medium. Community membership was largely determined by donor feces, whereas relative abundances were supplemental source. The absolute abundance most taxa independent supplementing nutrient, due ability fast-growing organisms quickly exhaust their niche medium then exploit monopolize Relative dominant could be predicted nutritional preferences growth dynamics species isolation, exceptions consistent with strain-level variation capabilities. Our study reveals that follows utilization provides framework for manipulating commensal perturbations.

Language: Английский

Citations

21

Unravelling metabolic cross‐feeding in a yeast–bacteria community using 13C‐based proteomics DOI Creative Commons
Natalia Gabrielli, Christoniki Maga‐Nteve, Eleni Kafkia

et al.

Molecular Systems Biology, Journal Year: 2023, Volume and Issue: 19(4)

Published: Feb. 13, 2023

Abstract Cross‐feeding is fundamental to the diversity and function of microbial communities. However, identification cross‐fed metabolites often challenging due universality metabolic biosynthetic intermediates. Here, we use 13 C isotope tracing in peptides elucidate co‐cultures Saccharomyces cerevisiae Lactococcus lactis . The community was grown on lactose as main carbon source with either glucose or galactose fraction molecule labelled C. Data analysis allowing for possible mass‐shifts yielded hundreds which could assign both species identity labelling degree. pattern showed that yeast utilized and, a lesser extent, lactic acid shared by L. sources. While provided essential amino acids bacterium expected, data also uncovered complex exchange. further supported metabolite co‐culture supernatant, diminished fitness galactose‐negative mutant community. Together, our results demonstrate utility C‐based proteomics uncovering interactions.

Language: Английский

Citations

14

Sparsity of higher-order landscape interactions enables learning and prediction for microbiomes DOI Creative Commons
Shreya Arya, Ashish B. George, James P. O’Dwyer

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2023, Volume and Issue: 120(48)

Published: Nov. 22, 2023

Microbiome engineering offers the potential to leverage microbial communities improve outcomes in human health, agriculture, and climate. To translate this into reality, it is crucial reliably predict community composition function. But a brute force approach cataloging function hindered by combinatorial explosion number of ways we can combine species. An alternative parameterize using simplified, mechanistic models, then extrapolate these models beyond where have sampled. approaches remain data-hungry, as well requiring an priori specification what kinds mechanisms are included which omitted. Here, resolve both issues introducing mechanism-agnostic predicting compositions functions limited data. The critical step identification sparse representation landscape. We sparsity functions, drawing from techniques compressive sensing. validate on silico data, generated theoretical model. By sampling just 1% all possible communities, accurately out sample. demonstrate real-world application our applying four experimental datasets showing that recover interpretable, accurate predictions highly

Language: Английский

Citations

13

Biodiversity is enhanced by sequential resource utilization and environmental fluctuations via emergent temporal niches DOI Creative Commons
Blox Bloxham, Hyunseok Lee, Jeff Gore

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(5), P. e1012049 - e1012049

Published: May 13, 2024

How natural communities maintain their remarkable biodiversity and which species survive in complex are central questions ecology. Resource competition models successfully explain many phenomena but typically predict only as resources can coexist. Here, we demonstrate that sequential resource utilization, or diauxie, with periodic growth cycles support more than resources. We explore how modify own environments by sequentially depleting to form sequences of temporal niches, intermediately depleted environments. Biodiversity is enhanced when community-driven environmental fluctuations modulate the depletion order produce different niches on each cycle. Community-driven under constant conditions rare, exploring them illuminates niche structure emerges from utilization. With fluctuations, find most have stably coexisting survivors accurately predicted same following a distinct optimal strategy. Our results thus present new niche-based approach understanding highly diverse fluctuating communities.

Language: Английский

Citations

5

Connecting microbial community assembly and function DOI
Leonora Bittleston

Current Opinion in Microbiology, Journal Year: 2024, Volume and Issue: 80, P. 102512 - 102512

Published: July 16, 2024

Language: Английский

Citations

5