scholarly journals Temporal variability is a personalized feature of the human microbiome

2014 ◽  
Author(s):  
Gilberto E Flores ◽  
J Gregory Caporaso ◽  
Jessica B Henley ◽  
Jai Ram Rideout ◽  
Daniel Domogala ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Communities ◽  
Human Body ◽  
Temporal Variability ◽  
Temporal Dynamics ◽  
Human Microbiome ◽  
Wide Range ◽  
Diverse Communities ◽  
Study Population ◽  
Over Time

Background: It is now apparent that the complex microbial communities found on and in the human body (the human microbiome) vary across individuals. What has largely been missing from previous studies is an understanding of how these communities vary over time within individuals. To the extent to which it has been considered, it is often assumed that temporal variability is negligible for healthy adults. Here we address this gap in understanding by profiling the forehead, gut (fecal), palm, and tongue microbial communities in 85 adults, weekly over three months. Results: We found that skin (forehead and palm) varied most in the number of taxa present, whereas gut and tongue communities varied more in the relative abundances of taxa. Within each body habitat, there was a wide range of temporal variability across the study population, with some individuals consistently harboring more variable communities than others. The best predictor of these differences in variability across individuals was microbial diversity; individuals with more diverse gut or tongue communities were less variable than individuals with less diverse communities. Conclusions: This expanded sampling allowed us to observe consistently high levels of temporal variability in both diversity and community structure in all body habitats studied. These findings suggest that temporal dynamics may need to be considered when attempting to link changes in microbiome structure to changes in health status.Furthermore, our findings show that, not only is the composition of an individual’s microbiome highly personalized, but their degree of temporal variability is also a personalized feature.

scholarly journals Temporal variability is a personalized feature of the human microbiome

2014 ◽  
Author(s):  
Gilberto E Flores ◽  
J Gregory Caporaso ◽  
Jessica B Henley ◽  
Jai Ram Rideout ◽  
Daniel Domogala ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Communities ◽  
Human Body ◽  
Temporal Variability ◽  
Temporal Dynamics ◽  
Human Microbiome ◽  
Wide Range ◽  
Diverse Communities ◽  
Study Population ◽  
Over Time

Background: It is now apparent that the complex microbial communities found on and in the human body (the human microbiome) vary across individuals. What has largely been missing from previous studies is an understanding of how these communities vary over time within individuals. To the extent to which it has been considered, it is often assumed that temporal variability is negligible for healthy adults. Here we address this gap in understanding by profiling the forehead, gut (fecal), palm, and tongue microbial communities in 85 adults, weekly over three months. Results: We found that skin (forehead and palm) varied most in the number of taxa present, whereas gut and tongue communities varied more in the relative abundances of taxa. Within each body habitat, there was a wide range of temporal variability across the study population, with some individuals consistently harboring more variable communities than others. The best predictor of these differences in variability across individuals was microbial diversity; individuals with more diverse gut or tongue communities were less variable than individuals with less diverse communities. Conclusions: This expanded sampling allowed us to observe consistently high levels of temporal variability in both diversity and community structure in all body habitats studied. These findings suggest that temporal dynamics may need to be considered when attempting to link changes in microbiome structure to changes in health status.Furthermore, our findings show that, not only is the composition of an individual’s microbiome highly personalized, but their degree of temporal variability is also a personalized feature.

Unraveling the effects of spatial variability and relic DNA on the temporal dynamics of soil microbial communities

2018 ◽  
Author(s):  
Paul Carini ◽  
Manuel Delgado-Baquerizo ◽  
Eve-Lyn S. Hinckley ◽  
Hannah Holland-Moritz ◽  
Tess E Brewer ◽  
...  
Keyword(s):  
Microbial Community ◽  
Spatial Variability ◽  
Spatial Heterogeneity ◽  
Microbial Communities ◽  
Temporal Variability ◽  
Temporal Dynamics ◽  
Microbial Community Composition ◽  
Soil Microbial Communities ◽  
Soil Microbial ◽  
Over Time

AbstractFew studies have comprehensively investigated the temporal variability in soil microbial communities despite widespread recognition that the belowground environment is dynamic. In part, this stems from the challenges associated with the high degree of spatial heterogeneity in soil microbial communities and because the presence of relic DNA (DNA from non-living cells) may dampen temporal signals. Here we disentangle the relationships among spatial, temporal, and relic DNA effects on bacterial, archaeal, and fungal communities in soils collected from contrasting hillslopes in Colorado, USA. We intensively sampled plots on each hillslope over six months to discriminate between temporal variability, intra-plot spatial heterogeneity, and relic DNA effects on the soil prokaryotic and fungal communities. We show that the intra-plot spatial variability in microbial community composition was strong and independent of relic DNA effects with these spatial patterns persisting throughout the study. When controlling for intra-plot spatial variability, we identified significant temporal variability in both plots over the six-month study. These microbial communities were more dissimilar over time after relic DNA was removed, suggesting that relic DNA hinders the detection of important temporal dynamics in belowground microbial communities. We identified microbial taxa that exhibited shared temporal responses and show these responses were often predictable from temporal changes in soil conditions. Our findings highlight approaches that can be used to better characterize temporal shifts in soil microbial communities, information that is critical for predicting the environmental preferences of individual soil microbial taxa and identifying linkages between soil microbial community composition and belowground processes.ImportanceNearly all microbial communities are dynamic in time. Understanding how temporal dynamics in microbial community structure affect soil biogeochemistry and fertility are key to being able to predict the responses of the soil microbiome to environmental perturbations. Here we explain the effects of soil spatial structure and relic DNA on the determination of microbial community fluctuations over time. We found that intensive spatial sampling is required to identify temporal effects in microbial communities because of the high degree of spatial heterogeneity in soil and that DNA from non-living microbial cells masks important temporal patterns. We identified groups of microbes that display correlated behavior over time and show that these patterns are predictable from soil characteristics. These results provide insight into the environmental preferences and temporal relationships between individual microbial taxa and highlight the importance of considering relic DNA when trying to detect temporal dynamics in belowground communities.

scholarly journals Effects of Spatial Variability and Relic DNA Removal on the Detection of Temporal Dynamics in Soil Microbial Communities

mBio ◽  
2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Paul Carini ◽  
Manuel Delgado-Baquerizo ◽  
Eve-Lyn S. Hinckley ◽  
Hannah Holland‐Moritz ◽  
Tess E. Brewer ◽  
...  
Keyword(s):  
Microbial Community ◽  
Spatial Variability ◽  
Spatial Heterogeneity ◽  
Microbial Communities ◽  
Temporal Variability ◽  
Temporal Dynamics ◽  
Microbial Community Composition ◽  
Soil Microbial Communities ◽  
Environmental Preferences ◽  
Soil Microbial

ABSTRACT Few studies have comprehensively investigated the temporal variability in soil microbial communities despite widespread recognition that the belowground environment is dynamic. In part, this stems from the challenges associated with the high degree of spatial heterogeneity in soil microbial communities and because the presence of relic DNA (DNA from dead cells or secreted extracellular DNA) may dampen temporal signals. Here, we disentangle the relationships among spatial, temporal, and relic DNA effects on prokaryotic and fungal communities in soils collected from contrasting hillslopes in Colorado, USA. We intensively sampled plots on each hillslope over 6 months to discriminate between temporal variability, intraplot spatial heterogeneity, and relic DNA effects on the soil prokaryotic and fungal communities. We show that the intraplot spatial variability in microbial community composition was strong and independent of relic DNA effects and that these spatial patterns persisted throughout the study. When controlling for intraplot spatial variability, we identified significant temporal variability in both plots over the 6-month study. These microbial communities were more dissimilar over time after relic DNA was removed, suggesting that relic DNA hinders the detection of important temporal dynamics in belowground microbial communities. We identified microbial taxa that exhibited shared temporal responses and show that these responses were often predictable from temporal changes in soil conditions. Our findings highlight approaches that can be used to better characterize temporal shifts in soil microbial communities, information that is critical for predicting the environmental preferences of individual soil microbial taxa and identifying linkages between soil microbial community composition and belowground processes. IMPORTANCE Nearly all microbial communities are dynamic in time. Understanding how temporal dynamics in microbial community structure affect soil biogeochemistry and fertility are key to being able to predict the responses of the soil microbiome to environmental perturbations. Here, we explain the effects of soil spatial structure and relic DNA on the determination of microbial community fluctuations over time. We found that intensive spatial sampling was required to identify temporal effects in microbial communities because of the high degree of spatial heterogeneity in soil and that DNA from nonliving sources masks important temporal patterns. We identified groups of microbes with shared temporal responses and show that these patterns were predictable from changes in soil characteristics. These results provide insight into the environmental preferences and temporal relationships between individual microbial taxa and highlight the importance of considering relic DNA when trying to detect temporal dynamics in belowground communities.

scholarly journals Exploring the Parallel Development of Microbial Systems in Neonates with Cystic Fibrosis

mBio ◽  
2012 ◽  
Vol 3 (6) ◽  
Author(s):  
Geraint B. Rogers ◽  
Kenneth D. Bruce
Keyword(s):  
Cystic Fibrosis ◽  
Human Health ◽  
Human Body ◽  
Human Microbiome ◽  
Human Microbiome Project ◽  
Healthy Individuals ◽  
Parallel Development ◽  
Microbial Systems ◽  
Analytical Power ◽  
Over Time

ABSTRACT Recent studies have greatly extended our understanding of the microbiota present in and on the human body. Here, advanced sequencing strategies have provided unprecedented analytical power. The important implications that the emerging data have for human health emphasize the need to intensify research in this area (D. A. Relman, Nature 486:194-195, 2012). It is already clear from these studies that the microbiotas characterized in different body locations of healthy individuals are both complex and diverse (The Human Microbiome Project Consortium, Nature 486:215-221). These studies also provide a point of contrast for investigations that aim to characterize the microbiota present in disease conditions. In this regard, Madan et al. (mBio 3(4):e00251-12, 2012) monitored the development over time of microbiota in the oropharynges and feces of neonates with cystic fibrosis and explored the potential for interactions between these complex microbial systems.

scholarly journals Identifying biases and their potential solutions in human microbiome studies

Microbiome ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Jacob T. Nearing ◽  
André M. Comeau ◽  
Morgan G. I. Langille
Keyword(s):  
Microbial Communities ◽  
Human Body ◽  
Human Microbiome ◽  
Sample Collection ◽  
Sequencing Technology ◽  
Microbial Composition ◽  
Significant Bias ◽  
Typical Sequence ◽  
Entire Experiment ◽  
The Impact

AbstractAdvances in DNA sequencing technology have vastly improved the ability of researchers to explore the microbial inhabitants of the human body. Unfortunately, while these studies have uncovered the importance of these microbial communities to our health, they often do not result in similar findings. One possible reason for the disagreement in these results is due to the multitude of systemic biases that are introduced during sequence-based microbiome studies. These biases begin with sample collection and continue to be introduced throughout the entire experiment leading to an observed community that is significantly altered from the true underlying microbial composition. In this review, we will highlight the various steps in typical sequence-based human microbiome studies where significant bias can be introduced, and we will review the current efforts within the field that aim to reduce the impact of these biases.

scholarly journals Postmortem succession of gut microbial communities in deceased human subjects

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3437 ◽  
Author(s):  
Jennifer M. DeBruyn ◽  
Kathleen A. Hauther
Keyword(s):  
Microbial Communities ◽  
Bacterial Communities ◽  
Human Subjects ◽  
Human Microbiome ◽  
Amplicon Sequencing ◽  
Postmortem Changes ◽  
Rrna Gene ◽  
Human Gut ◽  
Decomposition Processes ◽  
Over Time

The human microbiome has demonstrated an importance for the health and functioning in living individuals. However, the fate of the microbiome after death is less understood. In addition to a better understanding of microbe-mediated decomposition processes, postmortem succession of human-associated microbial communities has been suggested as a possible forensic tool for estimating time since death, or postmortem interval (PMI). The objective of our study was to document postmortem changes in human gut bacterial communities. Gut microflora were repeatedly sampled from the caeca of cadavers as they decayed under natural environmental conditions. 16S rRNA gene amplicon sequencing revealed that over time, bacterial richness significantly increased (rs = 0.449) while diversity decreased (rs =  − 0.701). The composition of gut bacterial communities changed in a similar manner over time towards a common decay community. OTUs belonging to Bacteroidales (Bacteroides, Parabacteroides) significantly declined while Clostridiales (Clostridium, Anaerosphaera) and the fly-associated Gammaproteobacteria Ignatzschineria and Wohlfahrtiimonas increased. Our examination of human caeca microflora in decomposing cadavers adds to the growing literature on postmortem microbial communities, which will ultimately contribute to a better understanding of decomposition processes.

scholarly journals Press Disturbance Alters Community Structure and Assembly Mechanisms of Bacterial Taxa and Functional Genes in Mesocosm-Scale Bioreactors

mSystems ◽  
2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Ezequiel Santillan ◽  
Florentin Constancias ◽  
Stefan Wuertz
Keyword(s):  
Community Structure ◽  
Microbial Communities ◽  
Community Assembly ◽  
Temporal Dynamics ◽  
Functional Gene ◽  
Functional Genes ◽  
Rrna Gene ◽  
Α Diversity ◽  
Press Disturbance ◽  
Joint Evaluation

ABSTRACT Press disturbances are of interest in microbial ecology, as they can drive microbial communities to alternative stable states. However, the effect of press disturbances in community assembly mechanisms, particularly with regard to taxa and functional genes at different levels of abundance (i.e., common and rare), remains largely unknown. Here, we tested the effect of a continuous alteration in substrate feeding scheme on the structure, function, and assembly of bacterial communities. Two sets of replicate 5-liter sequencing batch reactors were operated at two different organic carbon loads for a period of 74 days, following 53 days of acclimation after inoculation with sludge from a full-scale treatment plant. Temporal dynamics of community taxonomic and functional gene structure were derived from metagenomics and 16S rRNA gene metabarcoding data. Disturbed reactors exhibited different community function, structure, and assembly compared to undisturbed reactors. Bacterial taxa and functional genes showed dissimilar α-diversity and community assembly patterns. Deterministic assembly mechanisms were generally stronger in disturbed reactors and in common fractions compared to rare ones. Function quickly recovered after the disturbance was removed, but community structure did not. Our results highlight that functional gene data from metagenomics can indicate patterns of community assembly that differ from those obtained from taxon data. This study reveals how a joint evaluation of assembly mechanisms and community structure of bacterial taxa and functional genes as well as ecosystem function can unravel the response of complex microbial systems to a press disturbance. IMPORTANCE Ecosystem management must be viewed in the context of increasing frequencies and magnitudes of various disturbances that occur at different scales. This work provides a glimpse of the changes in assembly mechanisms found in microbial communities exposed to sustained changes in their environment. These mechanisms, deterministic or stochastic, can cause communities to reach a similar or variable composition and function. For a comprehensive view, we use a joint evaluation of temporal dynamics in assembly mechanisms and community structure for both bacterial taxa and their functional genes at different abundance levels, in both disturbed and undisturbed states. We further reverted the disturbance state to contrast recovery of function with community structure. Our findings are relevant, as very few studies have employed such an approach, while there is a need to assess the relative importance of assembly mechanisms for microbial communities across different spatial and temporal scales, environmental gradients, and types of disturbance.

scholarly journals From Structure to Function: the Ecology of Host-Associated Microbial Communities

2010 ◽  
Vol 74 (3) ◽  
pp. 453-476 ◽  
Author(s):  
Courtney J. Robinson ◽  
Brendan J. M. Bohannan ◽  
Vincent B. Young
Keyword(s):  
Community Structure ◽  
Microbial Communities ◽  
Human Microbiome ◽  
Structure And Function ◽  
Future Directions ◽  
Human Microbiota ◽  
Health And Disease ◽  
Indigenous Microbiota ◽  
And Function

SUMMARY In the past several years, we have witnessed an increased interest in understanding the structure and function of the indigenous microbiota that inhabits the human body. It is hoped that this will yield novel insight into the role of these complex microbial communities in human health and disease. What is less appreciated is that this recent activity owes a great deal to the pioneering efforts of microbial ecologists who have been studying communities in non-host-associated environments. Interactions between environmental microbiologists and human microbiota researchers have already contributed to advances in our understanding of the human microbiome. We review the work that has led to these recent advances and illustrate some of the possible future directions for continued collaboration between these groups of researchers. We discuss how the application of ecological theory to the human-associated microbiota can lead us past descriptions of community structure and toward an understanding of the functions of the human microbiota. Such an approach may lead to a shift in the prevention and treatment of human diseases that involves conservation or restoration of the normal community structure and function of the host-associated microbiota.

scholarly journals Postmortem succession of gut microbial communities in human cadavers

2017 ◽  
Author(s):  
Jennifer M DeBruyn ◽  
Kathleen A Hauther
Keyword(s):  
Microbial Communities ◽  
Bacterial Communities ◽  
Human Microbiome ◽  
Amplicon Sequencing ◽  
Multiple Regression Model ◽  
Postmortem Changes ◽  
Rrna Gene ◽  
Decomposition Processes ◽  
Human Cadavers ◽  
Over Time

The human microbiome has demonstrated importance for health and functioning in living individuals. However the fate of the microbiome after death is poorly understood. In addition to a better understanding of microbe-mediated decomposition processes, postmortem succession of human-associated microbial communities has been suggested as a possible forensic tool for estimating time since death, or postmortem interval (PMI). The objective of our study was to document postmortem changes in human gut bacterial communities. Gut microflora were repeatedly sampled from the caeca of cadavers as they decayed under natural environmental conditions. 16S rRNA gene amplicon sequencing revealed that over time, bacterial richness significantly increased (rs = 0.449) while diversity decreased (rs = -0.701). The composition of gut bacterial communities changed in a similar manner over time towards a common decay community. OTUs belonging to Bacteroidales (Bacteroides, Parabacteroides) significantly declined while Clostridiales (Clostridium, Anaerosphaera) and the fly-associated Gammaproteobacteria Ignatzschineria and Wohlfahrtiimonas increased. A best fit multiple regression model, which included five OTUs, improved the ability to predict PMI (R2 = 0.824; p < 0.001). Our examination of human caeca microflora in decomposing cadavers adds to the growing literature on postmortem microbial communities, which will ultimately contribute to a better understanding of decomposition processes.

scholarly journals Biogeography & environmental conditions shape bacteriophage-bacteria networks across the human microbiome

2017 ◽  
Author(s):  
Geoffrey D Hannigan ◽  
Melissa B Duhaime ◽  
Danai Koutra ◽  
Patrick D Schloss
Keyword(s):  
Microbial Communities ◽  
Human Body ◽  
Complex Dynamics ◽  
Learning Algorithm ◽  
Human Microbiome ◽  
Metagenomic Sequence ◽  
Future Studies ◽  
Disease States ◽  
Health And Disease ◽  
Extinction Events

AbstractViruses and bacteria are critical components of the human microbiome and play important roles in health and disease. Most previous work has relied on studying bacteria and viruses independently, thereby reducing them to two separate communities. Such approaches are unable to capture how these microbial communities interact, such as through processes that maintain community robustness or allow phage-host populations to co-evolve. We implemented a network-based analytical approach to describe phage-bacteria network diversity throughout the human body. We built these community networks using a machine learning algorithm to predict which phages could infect which bacteria in a given microbiome. Our algorithm was applied to paired viral and bacterial metagenomic sequence sets from three previously published human cohorts. We organized the predicted interactions into networks that allowed us to evaluate phage-bacteria connectedness across the human body. We observed evidence that gut and skin network structures were person-specific and not conserved among cohabitating family members. High-fat diets appeared to be associated with less connected networks. Network structure differed between skin sites, with those exposed to the external environment being less connected and likely more susceptible to network degradation by microbial extinction events. This study quantified and contrasted the diversity of virome-microbiome networks across the human body and illustrated how environmental factors may influence phage-bacteria interactive dynamics. This work provides a baseline for future studies to better understand system perturbations, such as disease states, through ecological networks.Author SummaryThe human microbiome, the collection of microbial communities that colonize the human body, is a crucial component to health and disease. Two major components of the human microbiome are the bacterial and viral communities. These communities have primarily been studied separately using metrics of community composition and diversity. These approaches have failed to capture the complex dynamics of interacting bacteria and phage communities, which frequently share genetic information and work together to maintain ecosystem homestatsis (e.g. kill-the-winner dynamics). Removal of bacteria or phage can disrupt or even collapse those ecosystems. Relationship-based network approaches allow us to capture this interaction information. Using this network-based approach with three independent human cohorts, we were able to present an initial understanding of how phage-bacteria networks differ throughout the human body, so as to provide a baseline for future studies of how and why microbiome networks differ in disease states.

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