scholarly journals Bacterial community composition and dynamics spanning five years in freshwater bog lakes

2017 ◽  
Author(s):  
Alexandra M. Linz ◽  
Benjamin C. Crary ◽  
Ashley Shade ◽  
Sarah Owens ◽  
Jack A. Gilbert ◽  
...  
Keyword(s):  
Time Series ◽  
Bacterial Community ◽  
Community Composition ◽  
Bacterial Communities ◽  
Community Dynamics ◽  
Bacterial Community Composition ◽  
Rrna Gene ◽  
Bacterial Community Dynamics ◽  
Bog Lakes

AbstractBacteria play a key role in freshwater biogeochemical cycling, but long-term trends in freshwater bacterial community composition and dynamics are not yet well characterized. We used a multi-year time series of 16S rRNA gene amplicon sequencing data from eight bog lakes to census the freshwater bacterial community and observe annual and seasonal trends in abundance. Multiple sites and sampling events were necessary to begin to fully describe the bacterial communities. Each lake and layer contained a distinct bacterial community, with distinct levels of richness and indicator taxa that likely reflected the environmental conditions of each site. The community present in each year and site was also unique. Despite high interannual variability in community composition, we detected a core community of ubiquitous freshwater taxa. Although trends in abundance did not repeat annually, each freshwater lineage within the communities had a consistent lifestyle, defined by persistence, abundance, and variability. The results of our analysis emphasize the importance of long-term observations, as analyzing only a single year of data would not have allowed us to describe the dynamics and composition of these freshwater bacterial communities to the extent presented here.ImportanceLakes are excellent systems for investigating bacterial community dynamics because they have clear boundaries and strong environmental gradients. The results of our research demonstrate that bacterial community dynamics operate on multi-year timescales, a finding which likely applies to other ecosystems, with implications for study design and interpretation. Understanding the drivers and controls of bacterial communities on long time scales would improve both our knowledge of fundamental properties of bacterial communities, and our ability to predict community states. In this specific ecosystem, bog lakes play a disproportionately large role in global carbon cycling, and the information presented here may ultimately help refine carbon budgets for these lakes. Finally, all data and code in this study are publicly available. We hope that this will serve as a resource to anyone seeking to answer their own microbial ecology questions using a multi-year time series.

scholarly journals Bacterial Community Composition and Dynamics Spanning Five Years in Freshwater Bog Lakes

mSphere ◽  
2017 ◽  
Vol 2 (3) ◽  
Author(s):  
Alexandra M. Linz ◽  
Benjamin C. Crary ◽  
Ashley Shade ◽  
Sarah Owens ◽  
Jack A. Gilbert ◽  
...  
Keyword(s):  
Time Series ◽  
Bacterial Community ◽  
Community Composition ◽  
Bacterial Communities ◽  
Community Dynamics ◽  
Environmental Gradients ◽  
Bacterial Community Composition ◽  
Bacterial Community Dynamics ◽  
Long Time ◽  
Bog Lakes

ABSTRACT Lakes are excellent systems for investigating bacterial community dynamics because they have clear boundaries and strong environmental gradients. The results of our research demonstrate that bacterial community composition varies by year, a finding which likely applies to other ecosystems and has implications for study design and interpretation. Understanding the drivers and controls of bacterial communities on long time scales would improve both our knowledge of fundamental properties of bacterial communities and our ability to predict community states. In this specific ecosystem, bog lakes play a disproportionately large role in global carbon cycling, and the information presented here may ultimately help refine carbon budgets for these lakes. Finally, all data and code in this study are publicly available. We hope that this will serve as a resource for anyone seeking to answer their own microbial ecology questions using a multiyear time series. Bacteria play a key role in freshwater biogeochemical cycling, but long-term trends in freshwater bacterial community composition and dynamics are not yet well characterized. We used a multiyear time series of 16S rRNA gene amplicon sequencing data from eight bog lakes to census the freshwater bacterial community and observe annual and seasonal trends in abundance. The sites that we studied encompassed a range of water column mixing frequencies, which we hypothesized would be associated with trends in alpha and beta diversity. Each lake and layer contained a distinct bacterial community, with distinct levels of richness and indicator taxa that likely reflected the environmental conditions of each lake type sampled, including Actinobacteria in polymictic lakes (i.e., lakes with multiple mixing events per year), Methylophilales in dimictic lakes (lakes with two mixing events per year, usually in spring and fall), and “Candidatus Omnitrophica” in meromictic lakes (lakes with no recorded mixing events). The community present during each year at each site was also surprisingly unique. Despite unexpected interannual variability in community composition, we detected a core community of taxa found in all lakes and layers, including Actinobacteria tribe acI-B2 and Betaprotobacteria lineage PnecC. Although trends in abundance did not repeat annually, each freshwater lineage within the communities had a consistent lifestyle, defined by persistence, abundance, and variability. The results of our analysis emphasize the importance of long-term multisite observations, as analyzing only a single year of data or one lake would not have allowed us to describe the dynamics and composition of these freshwater bacterial communities to the extent presented here. IMPORTANCE Lakes are excellent systems for investigating bacterial community dynamics because they have clear boundaries and strong environmental gradients. The results of our research demonstrate that bacterial community composition varies by year, a finding which likely applies to other ecosystems and has implications for study design and interpretation. Understanding the drivers and controls of bacterial communities on long time scales would improve both our knowledge of fundamental properties of bacterial communities and our ability to predict community states. In this specific ecosystem, bog lakes play a disproportionately large role in global carbon cycling, and the information presented here may ultimately help refine carbon budgets for these lakes. Finally, all data and code in this study are publicly available. We hope that this will serve as a resource for anyone seeking to answer their own microbial ecology questions using a multiyear time series.

scholarly journals Dynamics of Bacterial Community Composition and Activity during a Mesocosm Diatom Bloom

2000 ◽  
Vol 66 (2) ◽  
pp. 578-587 ◽  
Author(s):  
Lasse Riemann ◽  
Grieg F. Steward ◽  
Farooq Azam
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Growth Rates ◽  
Community Dynamics ◽  
Bacterial Community Composition ◽  
Size Fraction ◽  
Microbial Colonization ◽  
Rrna Gene ◽  
Bacterial Community Dynamics ◽  
Diatom Blooms

ABSTRACT Bacterial community composition, enzymatic activities, and carbon dynamics were examined during diatom blooms in four 200-liter laboratory seawater mesocosms. The objective was to determine whether the dramatic shifts in growth rates and ectoenzyme activities, which are commonly observed during the course of phytoplankton blooms and their subsequent demise, could result from shifts in bacterial community composition. Nutrient enrichment of metazoan-free seawater resulted in diatom blooms dominated by a Thalassiosira sp., which peaked 9 days after enrichment (≈24 μg of chlorophylla liter−1). At this time bacterial abundance abruptly decreased from 2.8 × 106 to 0.75 × 106 ml−1, and an analysis of bacterial community composition, by denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rRNA gene fragments, revealed the disappearance of three dominant phylotypes. Increased viral and flagellate abundances suggested that both lysis and grazing could have played a role in the observed phylotype-specific mortality. Subsequently, new phylotypes appeared and bacterial production, abundance, and enzyme activities shifted from being predominantly associated with the <1.0-μm size fraction towards the >1.0-μm size fraction, indicating a pronounced microbial colonization of particles. Sequencing of DGGE bands suggested that the observed rapid and extensive colonization of particulate matter was mainly by specialized α-Proteobacteria- andCytophagales-related phylotypes. These particle-associated bacteria had high growth rates as well as high cell-specific aminopeptidase, β-glucosidase, and lipase activities. Rate measurements as well as bacterial population dynamics were almost identical among the mesocosms indicating that the observed bacterial community dynamics were systematic and repeatable responses to the manipulated conditions.

scholarly journals Data of bacterial community dynamics resulting from total rumen content exchange in beef cattle

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Brooke A. Clemmons ◽  
Madison T. Henniger ◽  
Phillip R. Myer
Keyword(s):  
Bacterial Community ◽  
Preliminary Data ◽  
Community Dynamics ◽  
Hypervariable Region ◽  
Rumen Content ◽  
Rrna Gene ◽  
Lactating Cows ◽  
Rumen Microbiome ◽  
Bacterial Community Dynamics

Abstract Objectives Extensive efforts have been made to characterize the rumen microbiome under various conditions. However, few studies have addressed the long-term impacts of ruminal microbiome dysbiosis and the extent of host control over microbiome stability. These data can also inform host-microbial symbioses. The objective was to develop preliminary data to measure the changes that occur in the rumen bacterial communities following a rumen content exchange to understand the effects major perturbations may impart upon the rumen microbiome, which may be host-driven. Data description We report here an initial rumen content exchange between two SimAngus (Simmental/Angus) non-pregnant, non-lactating cows of ~ 6 years of age weighing 603.4 ± 37.5 kg. To measure bacterial community succession and acclimation following the exchange, rumen content was collected via rumen cannula at the beginning of the study immediately prior to and following the rumen content exchange, and weekly for 12 weeks. The V4 hypervariable region of the 16S rRNA gene was targeted for DNA sequencing and bacterial analysis. Over 12 weeks, numerous genera and diversity varied, before partial return to pre-exchange metrics. These preliminary data help support potential host control for the rumen microbiome, aiding in efforts to define bovine host-microbe relationships.

scholarly journals Impact of enzymatic digestion on bacterial community composition in CF airway samples

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3362 ◽  
Author(s):  
Kayla M. Williamson ◽  
Brandie D. Wagner ◽  
Charles E. Robertson ◽  
Emily J. Johnson ◽  
Edith T. Zemanick ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Dna Extraction ◽  
Community Composition ◽  
Bacterial Communities ◽  
Beta Diversity ◽  
Diversity Index ◽  
Bacterial Community Composition ◽  
Microbial Community Composition ◽  
Enzymatic Digestion ◽  
Rrna Gene

BackgroundPrevious studies have demonstrated the importance of DNA extraction methods for molecular detection ofStaphylococcus,an important bacterial group in cystic fibrosis (CF). We sought to evaluate the effect of enzymatic digestion (EnzD) prior to DNA extraction on bacterial communities identified in sputum and oropharyngeal swab (OP) samples from patients with CF.MethodsDNA from 81 samples (39 sputum and 42 OP) collected from 63 patients with CF was extracted in duplicate with and without EnzD. Bacterial communities were determined by rRNA gene sequencing, and measures of alpha and beta diversity were calculated. Principal Coordinate Analysis (PCoA) was used to assess differences at the community level and Wilcoxon Signed Rank tests were used to compare relative abundance (RA) of individual genera for paired samples with and without EnzD.ResultsShannon Diversity Index (alpha-diversity) decreased in sputum and OP samples with the use of EnzD. Larger shifts in community composition were observed for OP samples (beta-diversity, measured by Morisita-Horn), whereas less change in communities was observed for sputum samples. The use of EnzD with OP swabs resulted in significant increase in RA for the generaGemella(p < 0.01),Streptococcus(p < 0.01), andRothia(p < 0.01).Staphylococcus(p < 0.01) was the only genus with a significant increase in RA from sputum, whereas the following genera decreased in RA with EnzD:Veillonella(p < 0.01),Granulicatella(p < 0.01),Prevotella(p < 0.01), andGemella(p = 0.02). In OP samples, higher RA of Gram-positive taxa was associated with larger changes in microbial community composition.DiscussionWe show that the application of EnzD to CF airway samples, particularly OP swabs, results in differences in microbial communities detected by sequencing. Use of EnzD can result in large changes in bacterial community composition, and is particularly useful for detection ofStaphylococcusin CF OP samples. The enhanced identification ofStaphylococcus aureusis a strong indication to utilize EnzD in studies that use OP swabs to monitor CF airway communities.

Effects of geographic location and water quality on bacterial communities in full-scale biofilters across North America

2020 ◽  
Vol 96 (2) ◽  
Author(s):  
Ben Ma ◽  
Timothy M LaPara ◽  
Ashley N. Evans ◽  
Raymond M Hozalski
Keyword(s):  
Water Quality ◽  
North America ◽  
Bacterial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Community Composition ◽  
Bacterial Communities ◽  
Bacterial Community Composition ◽  
Geographic Location ◽  
Rrna Gene

ABSTRACT Spatial patterns of bacterial community composition often follow a distance–decay relationship in which community dissimilarity increases with geographic distance. Such a relationship has been commonly observed in natural environments, but less so in engineered environments. In this study, bacterial abundance and community composition in filter media samples (n = 57) from full-scale rapid biofilters at 14 water treatment facilities across North America were determined using quantitative polymerase chain reaction and Illumina HiSeq high-throughput sequencing targeting the 16S rRNA gene, respectively. Bacteria were abundant on the filter media (108.8±0.3 to 1010.7±0.2 16S rRNA gene copies/cm3 bed volume) and the bacterial communities were highly diverse (Shannon index: 5.3 ± 0.1 to 8.4 ± 0.0). Significant inter-filter variations in bacterial community composition were observed, with weighted UniFrac dissimilarity values following a weak but highly significant distance–decay relationship (z = 0.0057 ± 0.0006; P = 1.8 × 10−22). Approximately 50% of the variance in bacterial community composition was explained by the water quality parameters measured at the time of media sample collection (i.e. pH, temperature and dissolved organic carbon concentration). Overall, this study suggested that the microbiomes of biofilters are primarily shaped by geographic location and local water quality conditions but the influence of these factors on the microbiomes is tempered by filter design and operating conditions.

scholarly journals Dynamic succession of substrate-associated bacterial composition and function duringGanoderma lucidumgrowth

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4975 ◽  
Author(s):  
Bo Zhang ◽  
Lijuan Yan ◽  
Qiang Li ◽  
Jie Zou ◽  
Hao Tan ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Community Dynamics ◽  
Bacterial Community Composition ◽  
Growth Stages ◽  
Bacterial Phyla ◽  
Medicinal Fungus ◽  
Bacterial Community Dynamics ◽  
Functional Pathway ◽  
And Function

BackgroundGanoderma lucidum, a valuable medicinal fungus, is widely distributed in China. It grows alongside with a complex microbial ecosystem in the substrate. As sequencing technology advances, it is possible to reveal the composition and functions of substrate-associated bacterial communities.MethodsWe analyzed the bacterial community dynamics in the substrate during the four typical growth stages ofG. lucidumusing next-generation sequencing.ResultsThe physicochemical properties of the substrate (e.g. acidity, moisture, total nitrogen, total phosphorus and total potassium) changed between different growth stages. A total of 598,771 sequences from 12 samples were obtained and assigned to 22 bacterial phyla.ProteobacteriaandFirmicuteswere the dominant phyla. Bacterial community composition and diversity significantly differed between the elongation stage and the other three growth stages. LEfSe analysis revealed a large number of bacterial taxa (e.g.Bacteroidetes,AcidobacteriaandNitrospirae) with significantly higher abundance at the elongation stage. Functional pathway prediction uncovered significant abundance changes of a number of bacterial functional pathways between the elongation stage and other growth stages. At the elongation stage, the abundance of the environmental information processing pathway (mainly membrane transport) decreased, whereas that of the metabolism-related pathways increased.DiscussionThe changes in bacterial community composition, diversity and predicted functions were most likely related to the changes in the moisture and nutrient conditions in the substrate with the growth ofG. lucidum, particularly at the elongation stage. Our findings shed light on theG. lucidum-bacteria-substrate relationships, which should facilitate the industrial cultivation ofG. lucidum.

scholarly journals Rapid, inexpensive measurement of synthetic bacterial community composition by Sanger sequencing

2018 ◽  
Author(s):  
Nathan Cermak ◽  
Manoshi Sen Datta ◽  
Arolyn Conwill
Keyword(s):  
Bacterial Community ◽  
Microbial Ecology ◽  
Community Composition ◽  
Bacterial Communities ◽  
Sanger Sequencing ◽  
Bacterial Community Composition ◽  
Marker Gene ◽  
Compositional Analysis ◽  
Time Variability ◽  
Rrna Gene

AbstractSimple synthetic bacterial communities are powerful tools for studying microbial ecology and evolution, as they enable rapid iteration between controlled laboratory experiments and theoretical modeling. However, their utility is hampered by the lack of fast, inexpensive, and accurate methods for quantifying bacterial community composition. For instance, while next-generation amplicon sequencing can be very accurate, high costs (>$30 per sample) and turnaround times (>1 month) limit the nature and pace of experiments. Here, we introduce a new approach for quantifying composition in synthetic bacterial communities based on Sanger sequencing. First, for a given community, we PCR-amplify a universal marker gene (here, the 16S rRNA gene), which yields a mixture of amplicons. Second, we sequence this amplicon mixture in a single Sanger sequencing reaction, which produces a “mixed” electropherogram with contributions from each community member. We also sequence each community member’s marker gene individually to generate “individual” electropherograms. Third, we fit the mixed electropherogram as a linear combination of time-warped individual electropherograms, thereby allowing us to estimate the fractional amplicon abundance of each strain within the community. Importantly, our approach accounts for retention-time variability in electrophoretic signals, which is crucial for accurate compositional estimates. Using synthetic communities of marine bacterial isolates, we show that this approach yields accurate and reproducible abundance estimates for two-, four-, and seven-strain bacterial communities. Furthermore, this approach can provide results within one day and costs ~$5 USD per sample. We envision this approach will enable new insights in microbial ecology by increasing the number of samples that can be analyzed and enabling faster iteration between experiments and theory. We have implemented our method in a free and open-source R package called CASEU (“Compositional Analysis by Sanger Electropherogram Unmixing”), available at https://bitbucket.org/DattaManoshi/caseu.

scholarly journals Seasonal Variation Imparts The Endophytic Bacterial Community Dynamics in Mango Plants and Its Hemiparasites

2021 ◽  
Author(s):  
Rajsekhar Adhikary ◽  
Sukhendu Mandal ◽  
Vivekananda Mandal
Keyword(s):  
Bacterial Community ◽  
Bacterial Communities ◽  
Community Dynamics ◽  
Mangifera Indica ◽  
Alpha Diversity ◽  
Diversity Indices ◽  
Rrna Gene ◽  
Flowering Season ◽  
Bacterial Community Dynamics ◽  
Endophytic Community

Abstract Assessment of bacterial community dynamics helps to estimate the endophytic community structure and ecological behaviour imposed by them. Such community composition is essential to understand the molecular interplay that lies between them and the host plants. The present study aims to explore the endophytic bacterial communities and their dynamics in the pre-flowering and post-flowering seasons in the horticulturally important Mango (Mangifera indica L.) and its hemiparasites Loranthus sp., and Macrosolen sp. through a metagenomic approach using the sequence of V3 region of 16S rRNA gene. Bacillus was found to be the most abundant genera, followed by Acinetobacter, and Corynebacterium, which belong to the phyla Firmicutes, Proteobacteria, and Actinobacteria. It has been found that during the post-flowering season, twigs and leaves of mango have lower endophytic bacterial loads. Furthermore, the alpha-diversity indices of the representative genera were highest in Loranthus sp. during the post-flowering seasons of mango. The ecological, taxonomic, and complex correlation studies unravelled that the hemiparasites act as the potent reservoirs of endophytic community throughout the year, and during favourable conditions, these bacterial communities disseminate to the mango plant.

From pine to pasture: land use history has long-term impacts on soil bacterial community composition and functional potential

2020 ◽  
Vol 96 (4) ◽  
Author(s):  
Syrie M Hermans ◽  
Matthew Taylor ◽  
Gwen Grelet ◽  
Fiona Curran-Cournane ◽  
Hannah L Buckley ◽  
...  
Keyword(s):  
Land Use ◽  
Bacterial Community ◽  
Community Composition ◽  
Bacterial Communities ◽  
Bacterial Community Composition ◽  
Reference Sites ◽  
Functional Potential ◽  
Soil Bacterial Communities ◽  
Soil Bacterial

ABSTRACT Bacterial communities are crucial to soil ecosystems and are known to be sensitive to environmental changes. However, our understanding of how present-day soil bacterial communities remain impacted by historic land uses is limited; implications for their functional potential are especially understudied. Through 16S rRNA gene amplicon and shotgun metagenomic sequencing, we characterized the structure and functional potential of soil bacterial communities after land use conversion. Sites converted from pine plantations to dairy pasture were sampled five- and eight-years post conversion. The bacterial community composition and functional potential at these sites were compared to long-term dairy pastures and pine forest reference sites. Bacterial community composition and functional potential at the converted sites differed significantly from those at reference sites (P = 0.001). On average, they were more similar to those in the long-term dairy sites and showed gradual convergence (P = 0.001). Differences in composition and functional potential were most strongly related to nutrients such as nitrogen, Olsen P and the carbon to nitrogen ratio. Genes related to the cycling of nitrogen, especially denitrification, were underrepresented in converted sites compared to long-term pasture soils. Together, our study highlights the long-lasting impacts land use conversion can have on microbial communities, and the implications for future soil health and functioning.

Seasonal changes and the unexpected impact of environmental disturbance on skin bacteria of individual amphibians in a natural habitat

2020 ◽  
Author(s):  
Jenifer B Walke ◽  
Matthew H Becker ◽  
Arianna Krinos ◽  
Elizabeth A B Chang ◽  
Celina Santiago ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Bacterial Communities ◽  
Seasonal Changes ◽  
Community Dynamics ◽  
Natural Habitat ◽  
Rrna Gene ◽  
Skin Bacteria ◽  
Bacterial Community Dynamics ◽  
Metabolite Profiles ◽  
Over Time

Abstract Amphibians host diverse skin bacteria that have a role in pathogen defense, but these skin communities could change over time and impact this function. Here, we monitored individual Eastern red-spotted newts (Notophthalmus viridescens; N = 17) for two years in a field pond enclosure and assessed the effects of season and disturbance on skin bacterial community dynamics. We created disturbances by adding additional pond substrate to the enclosure at two timepoints. We planned to sample the skin bacterial community and metabolite profiles of each newt every six weeks; we ultimately sampled eight individuals at least six times. We used 16S rRNA gene amplicon sequencing to characterize the bacterial communities and HPLC-MS for metabolite profiling. We found that disturbance had a dramatic effect on skin bacterial communities and metabolite profiles, while season had an effect only using select metrics. There were seven core bacterial taxa (97% OTUs) that were found on all newts in all seasons, pre- and post-disturbance. Lastly, there was a correlation between bacterial and metabolite profiles post-disturbance, which was not observed pre-disturbance. This longitudinal study suggests that environmental disturbances can have lasting effects on skin bacterial communities that overwhelm seasonal changes, although the core bacteria remain relatively consistent over time.

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