scholarly journals Multistability and regime shifts in microbial communities explained by competition for essential nutrients

2019 ◽  
Author(s):  
Veronika Dubinkina ◽  
Yulia Fridman ◽  
Parth Pratim Pandey ◽  
Sergei Maslov
Keyword(s):  
Microbial Communities ◽  
Environmental Parameters ◽  
Nutrient Supply ◽  
Regime Shifts ◽  
Explicit Model ◽  
Stable States ◽  
Matching Problem ◽  
Essential Nutrients ◽  
Theoretical Methods ◽  
Main Determinants

Microbial communities routinely have several possible species compositions or community states observed for the same environmental parameters. Changes in these parameters can trigger abrupt and persistent transitions (regime shifts) between such community states. Yet little is known about the main determinants and mechanisms of multistability in microbial communities. Here we introduce and study a resource-explicit model in which microbes compete for two types of essential nutrients. We adapt game-theoretical methods of the stable matching problem to identify all possible species compositions of a microbial community. We then classify them by their resilience against three types of perturbations: fluctuations in nutrient supply, invasions by new species, and small changes of abundances of existing ones. We observe multistability and explore an intricate network of regime shifts between stable states in our model. Our results suggest that multistability requires microbial species to have different stoichiometries of essential nutrients. We also find that balanced nutrient supply promote multistability and species diversity yet make individual community states less stable.

scholarly journals Multistability and regime shifts in microbial communities explained by competition for essential nutrients

eLife ◽  
2019 ◽  
Vol 8 ◽  
Author(s):  
Veronika Dubinkina ◽  
Yulia Fridman ◽  
Parth Pratim Pandey ◽  
Sergei Maslov
Keyword(s):  
Microbial Communities ◽  
Environmental Parameters ◽  
Nutrient Supply ◽  
Regime Shifts ◽  
Stable States ◽  
Resource Model ◽  
Matching Problem ◽  
Essential Nutrients ◽  
Main Determinants ◽  
Consumer Resource

Microbial communities routinely have several possible species compositions or community states observed for the same environmental parameters. Changes in these parameters can trigger abrupt and persistent transitions (regime shifts) between such community states. Yet little is known about the main determinants and mechanisms of multistability in microbial communities. Here, we introduce and study a consumer-resource model in which microbes compete for two types of essential nutrients each represented by multiple different metabolites. We adapt game-theoretical methods of the stable matching problem to identify all possible species compositions of such microbial communities. We then classify them by their resilience against three types of perturbations: fluctuations in nutrient supply, invasions by new species, and small changes of abundances of existing ones. We observe multistability and explore an intricate network of regime shifts between stable states in our model. Our results suggest that multistability requires microbial species to have different stoichiometries of essential nutrients. We also find that a balanced nutrient supply promotes multistability and species diversity, yet make individual community states less stable.

scholarly journals Alternative stable states in a model of microbial community limited by multiple essential nutrients

2018 ◽  
Author(s):  
Veronika Dubinkina ◽  
Yulia Fridman ◽  
Parth Pratim Pandey ◽  
Sergei Maslov
Keyword(s):  
Microbial Communities ◽  
Alternative Stable States ◽  
Environmental Parameters ◽  
Stable Marriage ◽  
Stable Marriage Problem ◽  
Stable States ◽  
Essential Nutrients ◽  
Carbon And Nitrogen ◽  
The Stable Marriage Problem ◽  
Specialist Species

Microbial communities routinely have several alternative stable states observed for the same environmental parameters. Sudden and irreversible transitions between these states make external manipulation of these systems more complicated. To better understand the mechanisms and origins of multistability in microbial communities, we introduce and study a model of a microbial ecosystem colonized by multiple specialist species selected from a fixed pool. Growth of each species can be limited by essential nutrients of two types, e.g. carbon and nitrogen, each represented in the environment by multiple metabolites. We demonstrate that our model has an exponentially large number of potential stable states realized for different environmental parameters. Using game theoretical methods adapted from the stable marriage problem we predict all of these states based only on ranked lists of competitive abilities of species for each of the nutrients. We show that for every set of nutrient influxes, several mutually uninvadable stable states are generally feasible and we distinguish them based upon their dynamic stability. We further explore an intricate network of discontinuous transitions (regime shifts) between these alternative states both in the course of community assembly, or upon changes of nutrient influxes.

scholarly journals Environmental parameters and microbial community profiles as indication towards microbial activities and diversity in aquaponic system compartments

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zala Schmautz ◽  
Carlos A. Espinal ◽  
Andrea M. Bohny ◽  
Fabio Rezzonico ◽  
Ranka Junge ◽  
...  
Keyword(s):  
Microbial Community ◽  
Microbial Communities ◽  
Profile Analysis ◽  
Operation Mode ◽  
Environmental Parameters ◽  
Plant Production ◽  
Microbial Activities ◽  
Anaerobic Processes ◽  
Abiotic Parameters ◽  
Aerobic And Anaerobic

Abstract Background An aquaponic system couples cultivation of plants and fish in the same aqueous medium. The system consists of interconnected compartments for fish rearing and plant production, as well as for water filtration, with all compartments hosting diverse microbial communities, which interact within the system. Due to the design, function and operation mode of the individual compartments, each of them exhibits unique biotic and abiotic conditions. Elucidating how these conditions shape microbial communities is useful in understanding how these compartments may affect the quality of the water, in which plants and fish are cultured. Results We investigated the possible relationships between microbial communities from biofilms and water quality parameters in different compartments of the aquaponic system. Biofilm samples were analyzed by total community profiling for bacterial and archaeal communities. The results implied that the oxygen levels could largely explain the main differences in abiotic parameters and microbial communities in each compartment of the system. Aerobic system compartments are highly biodiverse and work mostly as a nitrifying biofilter, whereas biofilms in the anaerobic compartments contain a less diverse community. Finally, the part of the system connecting the aerobic and anaerobic processes showed common conditions where both aerobic and anaerobic processes were observed. Conclusion Different predicted microbial activities for each compartment were found to be supported by the abiotic parameters, of which the oxygen saturation, total organic carbon and total nitrogen differentiated clearly between samples from the main aerobic loop and the anaerobic compartments. The latter was also confirmed using microbial community profile analysis.

scholarly journals Diversity and Dynamics of Seaweed Associated Microbial Communities Inhabiting the Lagoon of Venice

2020 ◽  
Vol 8 (11) ◽  
pp. 1657
Author(s):  
Abdul-Salam Juhmani ◽  
Alessandro Vezzi ◽  
Mohammad Wahsha ◽  
Alessandro Buosi ◽  
Fabio De Pascale ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Bacterial Communities ◽  
Host Response ◽  
Environmental Parameters ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Nutrient Concentrations ◽  
Lagoon Of Venice ◽  
Anthropogenic Stressors ◽  
Rich Diversity

Seaweeds are a group of essential photosynthetic organisms that harbor a rich diversity of associated microbial communities with substantial functions related to host health and defense. Environmental and anthropogenic stressors may disrupt the microbial communities and their metabolic activity, leading to host physiological alterations that negatively affect seaweeds’ performance and survival. Here, the bacterial communities associated with one of the most common seaweed, Ulva laetevirens Areshough, were sampled over a year at three sites of the lagoon of Venice affected by different environmental and anthropogenic stressors. Bacterial communities were characterized through Illumina sequencing of the V4 hypervariable region of 16S rRNA genes. The study demonstrated that the seaweed associated bacterial communities at sites impacted by environmental stressors were host-specific and differed significantly from the less affected site. Furthermore, these communities were significantly distinct from those of the surrounding seawater. The bacterial communities’ composition was significantly correlated with environmental parameters (nutrient concentrations, dissolved oxygen saturation, and pH) across sites. This study showed that several more abundant bacteria on U. laetevirens at stressed sites belonged to taxa related to the host response to the stressors. Overall, environmental parameters and anthropogenic stressors were shown to substantially affect seaweed associated bacterial communities, which reflect the host response to environmental variations.

scholarly journals Composition and predictive functional analysis of bacterial communities in the surface seawater of the Changjiang Estuary

2017 ◽  
Author(s):  
Dong-Mei Wu ◽  
Jian-Xin Wang ◽  
Xiao-Hui Liu ◽  
Ying-Ping Fan ◽  
Ran Jiang ◽  
...  
Keyword(s):  
Dissolved Oxygen ◽  
Microbial Communities ◽  
Bacterial Communities ◽  
High Throughput Sequencing ◽  
Carbon Fixation ◽  
Oxygen Demand ◽  
Environmental Parameters ◽  
Changjiang Estuary ◽  
Surface Seawater ◽  
The Changjiang Estuary

The objective of this study was to characterize the structure and function of microbial communities in surface seawater from the Changjiang Estuary and adjacent areas, China. Sample water was collected at 12 sites and environmental parameters were measured. Community structure was analyzed using high-throughput sequencing of 16S rDNA genes. Predictive metagenomic approach was used to predict the function of bacterial communities. Result showed that sample site A0102 had the highest bacterial abundance and diversity. The heatmap indicated that different samples could be clustered into six groups. Phylogenetic analysis showed that Proteobacteria was the predominant phylum in all samples, followed by Bacteroidetes and Actinobacteria. Alphaproteobacteria and Gammaproteobacteria were the dominant classes. The analysis of predictive metagenomic showed carbon fixation pathways in prokaryotes, nitrogen metabolism, carbon fixation in photosynthetic organisms, photosynthesis and polycyclic aromatic hydrocarbon degradation were enriched in all samples. Redundancy analysis (RDA) identified that dissolved oxygen (DO) and PO43– concentration had positive correlations with the bacterial communities while chemical oxygen demand (COD), dissolved oxygen (DO) and PO43– concentration were significantly associated with microbial functional diversity. This study adds to our knowledge of functional and taxonomic composition of microbial communities.

scholarly journals Microbial communities display alternative stable states in a fluctuating environment

2020 ◽  
Vol 16 (5) ◽  
pp. e1007934
Author(s):  
Clare I. Abreu ◽  
Vilhelm L. Andersen Woltz ◽  
Jonathan Friedman ◽  
Jeff Gore
Keyword(s):  
Microbial Communities ◽  
Alternative Stable States ◽  
Stable States ◽  
Fluctuating Environment

scholarly journals Cenozoic evolution of the steppe-desert biome in Central Asia

2020 ◽  
Vol 6 (41) ◽  
pp. eabb8227
Author(s):  
N. Barbolini ◽  
A. Woutersen ◽  
G. Dupont-Nivet ◽  
D. Silvestro ◽  
D. Tardif ◽  
...  
Keyword(s):  
Central Asia ◽  
Regime Shifts ◽  
Stable States ◽  
Temporal Scales ◽  
Spatial And Temporal Scales ◽  
Central Asian ◽  
The World ◽  
Human Use

The origins and development of the arid and highly seasonal steppe-desert biome in Central Asia, the largest of its kind in the world, remain largely unconstrained by existing records. It is unclear how Cenozoic climatic, geological, and biological forces, acting at diverse spatial and temporal scales, shaped Central Asian ecosystems through time. Our synthesis shows that the Central Asian steppe-desert has existed since at least Eocene times but experienced no less than two regime shifts, one at the Eocene–Oligocene Transition and one in the mid-Miocene. These shifts separated three successive “stable states,” each characterized by unique floral and faunal structures. Past responses to disturbance in the Asian steppe-desert imply that modern ecosystems are unlikely to recover their present structures and diversity if forced into a new regime. This is of concern for Asian steppes today, which are being modified for human use and lost to desertification at unprecedented rates.

scholarly journals Multiple stable states in microbial communities explained by the stable marriage problem

2017 ◽  
Author(s):  
Akshit Goyal ◽  
Veronika Dubinkina ◽  
Sergei Maslov
Keyword(s):  
Microbial Communities ◽  
Experimental Studies ◽  
Species Abundance ◽  
State Transitions ◽  
Stable Marriage ◽  
Stable Marriage Problem ◽  
Stable States ◽  
Marriage Problem ◽  
The Stable Marriage Problem ◽  
Multiple Stable States

AbstractExperimental studies of microbial communities routinely reveal that they have multiple stable states. While each of these states is generally resilient, certain perturbations such as antibiotics, probiotics and diet shifts, result in transitions to other states. Can we reliably both predict such stable states as well as direct and control transitions between them? Here we present a new conceptual model — inspired by the stable marriage problem in game theory and economics — in which microbial communities naturally exhibit multiple stable states, each state with a different species’ abundance profile. Our model’s core ingredient is that microbes utilize nutrients one at a time while competing with each other. Using only two ranked tables, one with microbes’ nutrient preferences and one with their competitive abilities, we can determine all possible stable states as well as predict inter-state transitions, triggered by the removal or addition of a specific nutrient or microbe. Further, using an example of 7 Bacteroides species common to the human gut utilizing 9 polysaccharides, we predict that mutual complementarity in nutrient preferences enables these species to coexist at high abundances.

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