scholarly journals High-dimensional microbiome interactions shape host fitness

2017 ◽  
Author(s):  
Alison L. Gould ◽  
Vivian Zhang ◽  
Lisa Lamberti ◽  
Eric W. Jones ◽  
Benjamin Obadia ◽  
...  
Keyword(s):  
Bacterial Species ◽  
Gut Bacteria ◽  
Microbial Interactions ◽  
Individual Species ◽  
Community Interactions ◽  
Host Fitness ◽  
Bacterial Interactions ◽  
Fitness Traits ◽  
Host Physiology ◽  
The Impact

AbstractGut bacteria can affect key aspects of host fitness, such as development, fecundity, and lifespan, while the host in turn shapes the gut microbiome. Microbiomes co-evolve with their hosts and have been implicated in host speciation. However, it is unclear to what extent individual species versus community interactions within the microbiome are linked to host fitness. Here we combinatorially dissect the natural microbiome of Drosophila melanogaster and reveal that interactions between bacteria shape host fitness through life history tradeoffs. We find that the same microbial interactions that shape host fitness also shape microbiome abundances, suggesting a potential evolutionary mechanism by which microbiome communities (rather than just individual species) may be intertwined in co-selection with their hosts. Empirically, we made germ-free flies colonized with each possible combination of the five core species of fly gut bacteria. We measured the resulting bacterial community abundances and fly fitness traits including development, reproduction, and lifespan. The fly gut promoted bacterial diversity, which in turn accelerated development, reproduction, and aging: flies that reproduced more died sooner. From these measurements we calculated the impact of bacterial interactions on fly fitness by adapting the mathematics of genetic epistasis to the microbiome. Host physiology phenotypes were highly dependent on interactions between bacterial species. Higher-order interactions (involving 3, 4, and 5 species) were widely prevalent and impacted both host physiology and the maintenance of gut diversity. The parallel impacts of bacterial interactions on the microbiome and on host fitness suggest that microbiome interactions may be key drivers of evolution.SignificanceAll animals have associated microbial communities called microbiomes that can influence the physiology and fitness of their host. It is unclear to what extent individual microbial species versus ecology of the microbiome influences fitness of the host. Here we mapped all the possible interactions between individual species of bacteria with each other and with the host’s physiology. Our approach revealed that the same bacterial interactions that shape microbiome abundances also shape host fitness traits. This relationship provides a feedback that may favor the emergence of co-evolving microbiome-host units.

scholarly journals Microbiome interactions shape host fitness

2018 ◽  
Vol 115 (51) ◽  
pp. E11951-E11960 ◽  
Author(s):  
Alison L. Gould ◽  
Vivian Zhang ◽  
Lisa Lamberti ◽  
Eric W. Jones ◽  
Benjamin Obadia ◽  
...  
Keyword(s):  
Life History ◽  
Bacterial Species ◽  
Gut Bacteria ◽  
Individual Species ◽  
Multiple Traits ◽  
Community Interactions ◽  
Host Fitness ◽  
Core Species ◽  
The Individual ◽  
The Impact

Gut bacteria can affect key aspects of host fitness, such as development, fecundity, and lifespan, while the host, in turn, shapes the gut microbiome. However, it is unclear to what extent individual species versus community interactions within the microbiome are linked to host fitness. Here, we combinatorially dissect the natural microbiome of Drosophila melanogaster and reveal that interactions between bacteria shape host fitness through life history tradeoffs. Empirically, we made germ-free flies colonized with each possible combination of the five core species of fly gut bacteria. We measured the resulting bacterial community abundances and fly fitness traits, including development, reproduction, and lifespan. The fly gut promoted bacterial diversity, which, in turn, accelerated development, reproduction, and aging: Flies that reproduced more died sooner. From these measurements, we calculated the impact of bacterial interactions on fly fitness by adapting the mathematics of genetic epistasis to the microbiome. Development and fecundity converged with higher diversity, suggesting minimal dependence on interactions. However, host lifespan and microbiome abundances were highly dependent on interactions between bacterial species. Higher-order interactions (involving three, four, and five species) occurred in 13–44% of possible cases depending on the trait, with the same interactions affecting multiple traits, a reflection of the life history tradeoff. Overall, we found these interactions were frequently context-dependent and often had the same magnitude as individual species themselves, indicating that the interactions can be as important as the individual species in gut microbiomes.

scholarly journals Pathway-based and phylogenetically adjusted quantification of metabolic interaction between microbial species

2020 ◽  
Author(s):  
Tony J. Lam ◽  
Moses Stamboulian ◽  
Wontack Han ◽  
Yuzhen Ye
Keyword(s):  
Microbial Communities ◽  
Bacterial Species ◽  
Microbial Interactions ◽  
Phylogenetic Distance ◽  
Phylogenetic Relatedness ◽  
Bacterial Interactions ◽  
Competition And Cooperation ◽  
Microbial Species ◽  
Metabolic Interactions ◽  
Genome Scale

AbstractMicrobial community members exhibit various forms of interactions. Taking advantage of the increasing availability of microbiome data, many computational approaches have been developed to infer bacterial interactions from the co-occurrence of microbes across diverse microbial communities. Additionally, the introduction of genome-scale metabolic models have also enabled the inference of metabolic interactions, such as competition and cooperation, between bacterial species. By nature, phylogenetically similar microbial species are likely to share common functional profiles or biological pathways due to their genomics similarity. Without properly factoring out the phylogenetic relationship, any estimation of the competition and cooperation based on functional/pathway profiles may bias downstream applications.To address these challenges, we developed a novel approach for estimating the competition and complementarity indices for a pair of microbial species, adjusted by their phylogenetic distance. An automated pipeline, PhyloMint, was implemented to construct competition and complementarity indices from genome scale metabolic models derived from microbial genomes. Application of our pipeline to 2,815 human-gut bacteria showed high correlation between phylogenetic distance and metabolic competition/cooperation indices among bacteria. Using a discretization approach, we were able to detect pairs of bacterial species with cooperation scores significantly higher than the average pairs of bacterial species with similar phylogenetic distances. A network community analysis of high metabolic cooperation but low competition reveals distinct modules of bacterial interactions. Our results suggest that niche differentiation plays a dominant role in microbial interactions, while habitat filtering also plays a role among certain clades of bacterial species.Author summaryMicrobial communities, also known as microbiomes, are formed through the interactions of various microbial species. Utilizing genomic sequencing, it is possible to infer the compositional make-up of communities as well as predict their metabolic interactions. However, because some species are more similarly related to each other, while others are more distantly related, one cannot directly compare metabolic relationships without first accounting for their phylogenetic relatedness. Here we developed a computational pipeline which predicts complimentary and competitive metabolic relationships between bacterial species, while normalizing for their phylogenetic relatedness. Our results show that phylogenetic distances are correlated with metabolic interactions, and factoring out such relationships can help better understand microbial interactions which drive community formation.

scholarly journals Model-based and phylogenetically adjusted quantification of metabolic interaction between microbial species

2020 ◽  
Vol 16 (10) ◽  
pp. e1007951
Author(s):  
Tony J. Lam ◽  
Moses Stamboulian ◽  
Wontack Han ◽  
Yuzhen Ye
Keyword(s):  
Dominant Role ◽  
Bacterial Species ◽  
Community Analysis ◽  
Microbial Interactions ◽  
Phylogenetic Distance ◽  
Metabolic Cooperation ◽  
Bacterial Interactions ◽  
Microbial Species ◽  
Metabolic Models ◽  
Genome Scale

Microbial community members exhibit various forms of interactions. Taking advantage of the increasing availability of microbiome data, many computational approaches have been developed to infer bacterial interactions from the co-occurrence of microbes across diverse microbial communities. Additionally, the introduction of genome-scale metabolic models have also enabled the inference of cooperative and competitive metabolic interactions between bacterial species. By nature, phylogenetically similar microbial species are more likely to share common functional profiles or biological pathways due to their genomic similarity. Without properly factoring out the phylogenetic relationship, any estimation of the competition and cooperation between species based on functional/pathway profiles may bias downstream applications. To address these challenges, we developed a novel approach for estimating the competition and complementarity indices for a pair of microbial species, adjusted by their phylogenetic distance. An automated pipeline, PhyloMint, was implemented to construct competition and complementarity indices from genome scale metabolic models derived from microbial genomes. Application of our pipeline to 2,815 human-gut associated bacteria showed high correlation between phylogenetic distance and metabolic competition/cooperation indices among bacteria. Using a discretization approach, we were able to detect pairs of bacterial species with cooperation scores significantly higher than the average pairs of bacterial species with similar phylogenetic distances. A network community analysis of high metabolic cooperation but low competition reveals distinct modules of bacterial interactions. Our results suggest that niche differentiation plays a dominant role in microbial interactions, while habitat filtering also plays a role among certain clades of bacterial species.

Subgingival Host-Microbial Interactions in Hyperglycemic Individuals

2020 ◽  
Vol 99 (6) ◽  
pp. 650-657 ◽  
Author(s):  
P.S. Kumar ◽  
M.F. Monteiro ◽  
S.M. Dabdoub ◽  
G.L. Miranda ◽  
M.Z. Casati ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Gingival Crevicular Fluid ◽  
Bacterial Colonization ◽  
Fold Increase ◽  
Microbial Interactions ◽  
Bacterial Interactions ◽  
Established Risk Factor ◽  
Nonsurgical Therapy ◽  
Crevicular Fluid ◽  
The Impact

Type 2 diabetes mellitus (T2DM) is an established risk factor for periodontitis, yet its contribution to creating host-bacterial disequilibrium in the subgingival crevice is poorly understood. The present investigation aimed to quantify the impact of hyperglycemia on host-bacterial interactions in established periodontitis and to map shifts in these dynamics following mechanical nonsurgical therapy. Seventeen T2DM and 17 non-T2DM subjects with generalized severe chronic periodontitis were recruited along with 20 periodontally healthy individuals. Subjects with periodontitis were treated with scaling and root planing (SRP). Samples of subgingival biofilm and gingival crevicular fluid were collected at baseline and at 1-, 3-, and 6 mo postoperatively. Correlations were generated between 13.7 million 16S ribosomal DNA sequences and 8 immune mediators. Intermicrobial and host-microbial interactions were modeled using differential network analysis. Periodontal health was characterized by a sparse interbacterial and highly connected cytokine-bacterial network, while both normoglycemics and T2DM subjects with periodontitis demonstrated robust congeneric and intergeneric hubs but significantly fewer cytokine-bacterial connections. Following SRP, the cytokine-bacterial edges demonstrated a 2-fold increase 1 mo postoperatively and a 10-fold increase at 6 mo in normoglycemics. In hyperglycemics, there was a doubling at 1 mo but no further changes thereafter. These shifts accompanied an increasingly sparse interbacterial network. In normoglycemics, the nodes anchored by interleukin (IL)–4, IL-6, and IL-10 demonstrated greatest rewiring, while in hyperglycemics, IL-1β, IL-6, INF-γ, and IL-17 exhibited progressive rewiring. Thus, the present investigation points to a breakdown in host-bacterial mutualism in periodontitis, with interbacterial interactions rather than host-bacterial interactions primarily determining community assembly. Hyperglycemia further exacerbates this uncoupled mutualism. Our data also demonstrate that while nonsurgical therapy might not consistently alter microbial abundances or lower proinflammatory molecules, it “reboots” the interaction between the immunoinflammatory system and the newly colonizing microbiome, restoring a role for the immune system in determining bacterial colonization. However, this outcome is lower and delayed in hyperglycemics.

scholarly journals Metabolic Basis for Mutualism between Gut Bacteria and Its Impact on theDrosophila melanogasterHost

2018 ◽  
Vol 85 (2) ◽  
Author(s):  
Andrew J. Sommer ◽  
Peter D. Newell
Keyword(s):  
Gut Microbiota ◽  
Bacterial Species ◽  
Waste Products ◽  
Fermentation Products ◽  
Content Type ◽  
Starting Point ◽  
Host Physiology ◽  
The Impact

ABSTRACTInteractions between species shape the formation and function of microbial communities. In the gut microbiota of animals, cross-feeding of metabolites between microbes can enhance colonization and influence host physiology. We examined a mutually beneficial interaction between two bacteria isolated from the gut microbiota ofDrosophila, i.e.,Acetobacter fabarumandLactobacillus brevis. After developing anin vitrococulture assay, we utilized a genetic screen to identifyA. fabarumgenes required for enhanced growth withL. brevis. The screen, and subsequent genetic analyses, showed that the gene encoding pyruvate phosphate dikinase (ppdK) is required forA. fabarumto benefit fully from coculture. By testing strains with mutations in a range of metabolic genes, we provide evidence thatA. fabarumcan utilize multiple fermentation products ofL. brevis. Mutualism between the bacteriain vivoaffects gnotobioticDrosophila melanogaster; flies associated withA. fabarumandL. brevisshowed >1,000-fold increases in bacterial cell density and significantly lower triglyceride storage than monocolonized flies. Mutation ofppdKdecreasedA. fabarumdensity in flies cocolonized withL. brevis, consistent with the model in whichAcetobacteremploys gluconeogenesis to assimilateLactobacillusfermentation products as a source of carbonin vivo. We propose that cross-feeding between these groups is a common feature of microbiota inDrosophila.IMPORTANCEThe digestive tracts of animals are home to a community of microorganisms, the gut microbiota, which affects the growth, development, and health of the host. Interactions among microbes in this inner ecosystem can influence which species colonize the gut and can lead to changes in host physiology. We investigated a mutually beneficial interaction between two bacterial species from the gut microbiota of fruit flies. By coculturing the bacteriain vitro, we were able to identify a metabolic gene required for the bacteria to grow better together than they do separately. Our data suggest that one species consumes the waste products of the other, leading to greater productivity of the microbial community and modifying the nutrients available to the host. This study provides a starting point for investigating how these and other bacteria mutually benefit by sharing metabolites and for determining the impact of mutualism on host health.

scholarly journals The Impact of Intraspecies and Interspecies Bacterial Interactions on Disease Outcome

Pathogens ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 96
Author(s):  
Jiwasmika Baishya ◽  
Karishma Bisht ◽  
Jeanette N. Rimbey ◽  
Kiddist D. Yihunie ◽  
Shariful Islam ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Therapeutic Potential ◽  
Well Being ◽  
Microbial Interactions ◽  
Disease Outcome ◽  
Negative Effects ◽  
Bacterial Interactions ◽  
Microbial Species ◽  
Host Health ◽  
The Impact

The human microbiota is an array of microorganisms known to interact with the host and other microbes. These interactions can be competitive, as microbes must adapt to host- and microorganism-related stressors, thus producing toxic molecules, or cooperative, whereby microbes survive by maintaining homeostasis with the host and host-associated microbial communities. As a result, these microbial interactions shape host health and can potentially result in disease. In this review, we discuss these varying interactions across microbial species, their positive and negative effects, the therapeutic potential of these interactions, and their implications on our knowledge of human well-being.

scholarly journals Early-Life Immune System Maturation in Chickens Using a Synthetic Community of Cultured Gut Bacteria

mSystems ◽  
2021 ◽  
Vol 6 (3) ◽  
Author(s):  
Christian Zenner ◽  
Thomas C. A. Hitch ◽  
Thomas Riedel ◽  
Esther Wortmann ◽  
Stefan Tiede ◽  
...  
Keyword(s):  
Immune System ◽  
Immune Responses ◽  
Gut Microbiome ◽  
Bacterial Species ◽  
Animal Health ◽  
Gut Bacteria ◽  
Microbial Colonization ◽  
Rrna Gene ◽  
Colonization Resistance ◽  
The Impact

ABSTRACT The gut microbiome is crucial for both maturation of the immune system and colonization resistance against enteric pathogens. Although chicken are important domesticated animals, the impact of their gut microbiome on the immune system is understudied. Therefore, we investigated the effect of microbiome-based interventions on host mucosal immune responses. Increased levels of IgA and IgY were observed in chickens exposed to maternal feces after hatching compared with strict hygienic conditions. This was accompanied by increased gut bacterial diversity as assessed by 16S rRNA gene amplicon sequencing. Cultivation work allowed the establishment of a collection of 43 bacterial species spanning 4 phyla and 19 families, including the first cultured members of 3 novel genera and 4 novel species that were taxonomically described. This resource is available at www.dsmz.de/chibac. A synthetic community consisting of nine phylogenetically diverse and dominant species from this collection was designed and found to be moderately efficient in boosting immunoglobulin levels when provided to chickens early in life. IMPORTANCE The immune system plays a crucial role in sustaining animal health. Its development is markedly influenced by early microbial colonization of the gastrointestinal tract. As chicken are fully dependent on environmental microbes after hatching, extensive hygienic measures in production facilities are detrimental to the microbiota, resulting in low colonization resistance against pathogens. To combat enteric infections, antibiotics are frequently used, which aggravates the issue by altering gut microbiota colonization. Intervention strategies based on cultured gut bacteria are proposed to influence immune responses in chicken.

scholarly journals Monoassociation with bacterial isolates reveals the role of colonization, community complexity and abundance on locomotor behavior in larval zebrafish

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Chelsea A. Weitekamp ◽  
Allison Kvasnicka ◽  
Scott P. Keely ◽  
Nichole E. Brinkman ◽  
Xia Meng Howey ◽  
...  
Keyword(s):  
Total Concentration ◽  
Bacterial Species ◽  
Locomotor Behavior ◽  
Host Cells ◽  
Individual Species ◽  
Zebrafish Model ◽  
Associated Bacteria ◽  
Larval Zebrafish ◽  
Toxicological Studies ◽  
Community Complexity

Abstract Background Across taxa, animals with depleted intestinal microbiomes show disrupted behavioral phenotypes. Axenic (i.e., microbe-free) mice, zebrafish, and fruit flies exhibit increased locomotor behavior, or hyperactivity. The mechanism through which bacteria interact with host cells to trigger normal neurobehavioral development in larval zebrafish is not well understood. Here, we monoassociated zebrafish with either one of six different zebrafish-associated bacteria, mixtures of these host-associates, or with an environmental bacterial isolate. Results As predicted, the axenic cohort was hyperactive. Monoassociation with three different host-associated bacterial species, as well as with the mixtures, resulted in control-like locomotor behavior. Monoassociation with one host-associate and the environmental isolate resulted in the hyperactive phenotype characteristic of axenic larvae, while monoassociation with two other host-associated bacteria partially blocked this phenotype. Furthermore, we found an inverse relationship between the total concentration of bacteria per larvae and locomotor behavior. Lastly, in the axenic and associated cohorts, but not in the larvae with complex communities, we detected unexpected bacteria, some of which may be present as facultative predators. Conclusions These data support a growing body of evidence that individual species of bacteria can have different effects on host behavior, potentially related to their success at intestinal colonization. Specific to the zebrafish model, our results suggest that differences in the composition of microbes in fish facilities could affect the results of behavioral assays within pharmacological and toxicological studies.

scholarly journals The Influence of Diet and Sex on the Gut Microbiota of Lean and Obese JCR:LA-cp Rats

2021 ◽  
Vol 9 (5) ◽  
pp. 1037
Author(s):  
Craig Resch ◽  
Mihir Parikh ◽  
J. Alejandro Austria ◽  
Spencer D. Proctor ◽  
Thomas Netticadan ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Control Diet ◽  
Bacterial Species ◽  
Alpha Diversity ◽  
Short Chain Fatty Acids ◽  
Female Rats ◽  
Dependent Manner ◽  
Male And Female ◽  
Ground Flaxseed ◽  
The Impact

There is an increased interest in the gut microbiota as it relates to health and obesity. The impact of diet and sex on the gut microbiota in conjunction with obesity also demands extensive systemic investigation. Thus, the influence of sex, diet, and flaxseed supplementation on the gut microbiota was examined in the JCR:LA-cp rat model of genetic obesity. Male and female obese rats were randomized into four groups (n = 8) to receive, for 12 weeks, either (a) control diet (Con), (b) control diet supplemented with 10% ground flaxseed (CFlax), (c) a high-fat, high sucrose (HFHS) diet, or (d) HFHS supplemented with 10% ground flaxseed (HFlax). Male and female JCR:LA-cp lean rats served as genetic controls and received similar dietary interventions. Illumine MiSeq sequencing revealed a richer microbiota in rats fed control diets rather than HFHS diets. Obese female rats had lower alpha-diversity than lean female; however, both sexes of obese and lean JCR rats differed significantly in β-diversity, as their gut microbiota was composed of different abundances of bacterial types. The feeding of an HFHS diet affected the diversity by increasing the phylum Bacteroidetes and reducing bacterial species from phylum Firmicutes. Fecal short-chain fatty acids such as acetate, propionate, and butyrate-producing bacterial species were correspondingly impacted by the HFHS diet. Flax supplementation improved the gut microbiota by decreasing the abundance of Blautia and Eubacterium dolichum. Collectively, our data show that an HFHS diet results in gut microbiota dysbiosis in a sex-dependent manner. Flaxseed supplementation to the diet had a significant impact on gut microbiota diversity under both flax control and HFHS dietary conditions.

scholarly journals Impact of Nosema Disease and American Foulbrood on Gut Bacterial Communities of Honeybees Apis mellifera

Insects ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 525
Author(s):  
Poonnawat Panjad ◽  
Rujipas Yongsawas ◽  
Chainarong Sinpoo ◽  
Chonthicha Pakwan ◽  
Phakamas Subta ◽  
...  
Keyword(s):  
Apis Mellifera ◽  
Bacterial Communities ◽  
454 Pyrosequencing ◽  
Gut Bacteria ◽  
Nosema Ceranae ◽  
Paenibacillus Larvae ◽  
American Foulbrood ◽  
Nosema Disease ◽  
The Impact ◽  
Pathogenic Infection

Honeybees, Apis mellifera, are important pollinators of many economically important crops. However, one of the reasons for their decline is pathogenic infection. Nosema disease and American foulbrood (AFB) disease are the most common bee pathogens that propagate in the gut of honeybees. This study investigated the impact of gut-propagating pathogens, including Nosema ceranae and Paenibacillus larvae, on bacterial communities in the gut of A. mellifera using 454-pyrosequencing. Pyrosequencing results showed that N. ceranae was implicated in the elimination of Serratia and the dramatic increase in Snodgrassella and Bartonella in adult bees’ guts, while bacterial communities of P. larvae-infected larvae were not affected by the infection. The results indicated that only N. ceranae had an impact on some core bacteria in the gut of A. mellifera through increasing core gut bacteria, therefore leading to the induction of dysbiosis in the bees’ gut.

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