Cyanobacteria and Photosynthetic Species as Part of the Microbial Community Structure of Biofilms in Copahue Geothermal Springs (Neuquén, Argentina)

2013 ◽  
Vol 825 ◽  
pp. 11-14
Author(s):  
María Sofía Urbieta ◽  
Elena González Toril ◽  
Ángeles Aguilera ◽  
Maria Alejandra Giaveno ◽  
Edgardo Donati ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Water Samples ◽  
Alternative Energy ◽  
Hot Springs ◽  
Extreme Temperature ◽  
Community Diversity ◽  
Thermal Activity ◽  
Ph Conditions

Copahue is a geothermal field located in the Northwest corner of Neuquén province in Argentina. It is dominated by the still active Copahue volcano. In the area there are many acidic pools, hot springs and solfataras with different temperature and pH conditions that influence their microbial diversity. On the surrounding rocks and the borders of the pools, where water movements and thermal activity are less intense, many biofilms can be found. They have different aspects and structure, and they present less extreme temperature and pH conditions than the ponds and hot springs. Biofilms are a different ecological niche and they have different microbial community structure. In this study carried out by molecular ecology techniques, mainly 16S and 18S rRNA sequencing, we report a strong presence of cyanobacterias, cloroflexi and eukaryotes, not detected in previous biodiversity studies done on water samples. Almost no acidophilic bacteria were found, with the exception of members of genusThiomonas, also found in the acidic pools. Archaea were detected only in one of the biofilms and the structure of that community seems to be similar to those found in water samples, with many uncultured species mainly related to orderSulfolobales. The aim of this study is to assess microbial community diversity in the biofilms present in this acidic geothermal area, with particular emphasis on detection of cyanobacterias and eukaryotes with potential biotechnological applications like production of alternative energy sources, synthesis and accumulation of biomolecules with antiviral or antibiotic activities or potential ability to bioremediate contaminated areas.

scholarly journals Interaction between typical sulfonamides and bacterial diversity in drinking water

2018 ◽  
Vol 16 (6) ◽  
pp. 914-920 ◽  
Author(s):  
Qing Wu ◽  
Shuqun Li ◽  
Xiaofei Zhao ◽  
Xinhua Zhao
Keyword(s):  
Drinking Water ◽  
Community Structure ◽  
Microbial Community ◽  
Bacterial Community ◽  
Bacterial Diversity ◽  
Microbial Community Structure ◽  
Antibiotic Use ◽  
Community Diversity ◽  
Wide Range ◽  
Growth Of Bacteria

Abstract The abuse of antibiotics is becoming more serious as antibiotic use has increased. The sulfa antibiotics, sulfamerazine (SM1) and sulfamethoxazole (SMZ), are frequently detected in a wide range of environments. The interaction between SM1/SMZ and bacterial diversity in drinking water was investigated in this study. The results showed that after treatment with SM1 or SMZ at four different concentrations, the microbial community structure of the drinking water changed statistically significantly compared to the blank sample. At the genus level, the proportions of the different bacteria in drinking water may affect the degradation of the SM1/SMZ. The growth of bacteria in drinking water can be inhibited after the addition of SM1/SMZ, and bacterial community diversity in drinking water declined in this study. Furthermore, the resistance gene sul2 was induced by SM1 in the drinking water.

scholarly journals Control of Temperature on Microbial Community Structure in Hot Springs of the Tibetan Plateau

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e62901 ◽  
Author(s):  
Shang Wang ◽  
Weiguo Hou ◽  
Hailiang Dong ◽  
Hongchen Jiang ◽  
Liuqin Huang ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Tibetan Plateau ◽  
Microbial Community Structure ◽  
Hot Springs ◽  
The Tibetan Plateau

scholarly journals Biological degradation of potato pulp waste and microbial community structure in microbial fuel cells

RSC Advances ◽  
2017 ◽  
Vol 7 (14) ◽  
pp. 8376-8380 ◽  
Author(s):  
Yushi Tian ◽  
Xiaoxue Mei ◽  
Qing Liang ◽  
Di Wu ◽  
Nanqi Ren ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Microbial Fuel Cells ◽  
Energy Production ◽  
Alternative Energy ◽  
Biological Degradation ◽  
Potato Pulp ◽  
Degrading Bacteria

The syntrophic interactions between polysaccharide-degrading bacteria and exoelectrogens drove simultaneous alternative energy production and degradation of potato pulp waste in microbial fuel cells.

scholarly journals PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure

mSphere ◽  
2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Peter Rubbens ◽  
Ruben Props ◽  
Frederiek-Maarten Kerckhof ◽  
Nico Boon ◽  
Willem Waegeman
Keyword(s):  
Flow Cytometry ◽  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
Gaussian Mixture Models ◽  
Gaussian Mixture ◽  
Community Diversity ◽  
Data Sets ◽  
Natural Ecosystems ◽  
Flow Cytometry Data

ABSTRACT Microbial flow cytometry can rapidly characterize the status of microbial communities. Upon measurement, large amounts of quantitative single-cell data are generated, which need to be analyzed appropriately. Cytometric fingerprinting approaches are often used for this purpose. Traditional approaches either require a manual annotation of regions of interest, do not fully consider the multivariate characteristics of the data, or result in many community-describing variables. To address these shortcomings, we propose an automated model-based fingerprinting approach based on Gaussian mixture models, which we call PhenoGMM. The method successfully quantifies changes in microbial community structure based on flow cytometry data, which can be expressed in terms of cytometric diversity. We evaluate the performance of PhenoGMM using data sets from both synthetic and natural ecosystems and compare the method with a generic binning fingerprinting approach. PhenoGMM supports the rapid and quantitative screening of microbial community structure and dynamics. IMPORTANCE Microorganisms are vital components in various ecosystems on Earth. In order to investigate the microbial diversity, researchers have largely relied on the analysis of 16S rRNA gene sequences from DNA. Flow cytometry has been proposed as an alternative technology to characterize microbial community diversity and dynamics. The technology enables a fast measurement of optical properties of individual cells. So-called fingerprinting techniques are needed in order to describe microbial community diversity and dynamics based on flow cytometry data. In this work, we propose a more advanced fingerprinting strategy based on Gaussian mixture models. We evaluated our workflow on data sets from both synthetic and natural ecosystems, illustrating its general applicability for the analysis of microbial flow cytometry data. PhenoGMM supports a rapid and quantitative analysis of microbial community structure using flow cytometry.

scholarly journals The Bacterial Community Diversity of Bathroom Hot Tap Water Was Significantly Lower Than That of Cold Tap and Shower Water

2021 ◽  
Vol 12 ◽  
Author(s):  
Chiqian Zhang ◽  
Ke Qin ◽  
Ian Struewing ◽  
Helen Buse ◽  
Jorge Santo Domingo ◽  
...  
Keyword(s):  
Water Quality ◽  
Community Structure ◽  
Microbial Community ◽  
Bacterial Community ◽  
Water Temperature ◽  
Water Samples ◽  
Tap Water ◽  
Community Diversity ◽  
Community Structures ◽  
Bacterial Community Diversity

Microbial drinking water quality in premise plumbing systems (PPSs) strongly affects public health. Bacterial community structure is the essential aspect of microbial water quality. Studies have elucidated the microbial community structure in cold tap water, while the microbial community structures in hot tap and shower water are poorly understood. We sampled cold tap, hot tap, and shower water from a simulated PPS monthly for 16 consecutive months and assessed the bacterial community structures in those samples via high-throughput sequencing of bacterial 16S rRNA genes. The total relative abundance of the top five most abundant phyla (Proteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, and Firmicutes) was greater than 90% among the 24 identified phyla. The most abundant families were Burkholderiaceae, Sphingomonadaceae, unclassified Alphaproteobacteria, unclassified Corynebacteriales, and Mycobacteriaceae. A multiple linear regression suggests that the bacterial community diversity increased with water temperature and the age of the simulated PPS, decreased with total chlorine residual concentration, and had a limited seasonal variation. The bacterial community in hot tap water had significantly lower Shannon and Inverse Simpson diversity indices (p < 0.05) and thus a much lower diversity than those in cold tap and shower water. The paradoxical results (i.e., diversity increased with water temperature, but hot tap water bacterial community was less diverse) were presumably because (1) other environmental factors made hot tap water bacterial community less diverse, (2) the diversity of bacterial communities in all types of water samples increased with water temperature, and (3) the first draw samples of hot tap water could have a comparable or even lower temperature than shower water samples and the second draw samples of cold tap water. In both a three-dimensional Non-metric multidimensional scaling ordination plot and a phylogenetic dendrogram, the samples of cold tap and shower water cluster and are separate from hot tap water samples (p < 0.05). In summary, the bacterial community in hot tap water in the simulated PPS had a distinct structure from and a much lower diversity than those in cold tap and shower water.

scholarly journals Changes in the Microbial Community Diversity of Oil Exploitation

Genes ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 556 ◽  
Author(s):  
Jingjing Liu ◽  
Jing Wu ◽  
Jiawei Lin ◽  
Jian Zhao ◽  
Tianyi Xu ◽  
...  
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Environmental Factors ◽  
Oil Recovery ◽  
Microbial Community Structure ◽  
Storage Tank ◽  
Oil Production ◽  
Operational Taxonomic Unit ◽  
Community Diversity ◽  
Microbial Resources

To systematically evaluate the ecological changes of an active offshore petroleum production system, the variation of microbial communities at several sites (virgin field, wellhead, storage tank) of an oil production facility in east China was investigated by sequencing the V3 to V4 regions of 16S ribosomal ribonucleic acid (rRNA) of microorganisms. In general, a decrease of microbial community richness and diversity in petroleum mining was observed, as measured by operational taxonomic unit (OTU) numbers, α (Chao1 and Shannon indices), and β (principal coordinate analysis) diversity. Microbial community structure was strongly affected by environmental factors at the phylum and genus levels. At the phylum level, virgin field and wellhead were dominated by Proteobacteria, while the storage tank had higher presence of Firmicutes (29.3–66.9%). Specifically, the wellhead displayed a lower presentence of Proteobacteria (48.6–53.4.0%) and a higher presence of Firmicutes (24.4–29.6%) than the virgin field. At the genus level, the predominant genera were Ochrobactrum and Acinetobacter in the virgin field, Lactococcus and Pseudomonas in the wellhead, and Prauseria and Bacillus in the storage tank. Our study revealed that the microbial community structure was strongly affected by the surrounding environmental factors, such as temperature, oxygen content, salinity, and pH, which could be altered because of the oil production. It was observed that the various microbiomes produced surfactants, transforming the biohazard and degrading hydro-carbon. Altering the microbiome growth condition by appropriate human intervention and taking advantage of natural microbial resources can further enhance oil recovery technology.

scholarly journals Taxonomic and Functional Metagenomics Profiling of Tuwa and Unnai Hot Springs Microbial Communities

2021 ◽  
Author(s):  
Disha Vora ◽  
Satyamitra Shekh ◽  
Madhvi Joshi ◽  
Amrutlal Patel ◽  
Chaitanya Joshi
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Community Structure ◽  
High Throughput Sequencing ◽  
Hot Springs ◽  
Carbohydrate Binding ◽  
Metagenomic Sequencing ◽  
Bacterial Phyla ◽  
Functional Potential ◽  
Carbohydrate Binding Modules

Abstract Hot springs are of great importance due to their unique physicochemical properties. Due to unique selection pressure in this habitat, a diverse microbial community is prevailing and can be analyzed by high throughput sequencing technology. Present study focuses on metagenomic sequencing of two hot springs from Gujarat, India namely Tuwa and Unnai through both, culturable and culture independent approach. Sequence analysis from both the water reservoirs depicted higher species richness and diversity based on various diversity indices. The microbial community structure at both the hot springs was distinct and dependent on physicochemical factors like temperature, pH, mineral content etc. Enrichment by cultivation before metagenome sequencing revealed the abundance of Firmicutes (up to 96%) representing cultivable organisms in hotsprings. The bacterial phyla Firmicutes, Proteobacteria, Bacteroidetes, Thermotogae, Deinococcus-Thermus, and Chloroflexi dominate the thermoalkaline spring at Unnai and Tuwa in different proportion. Economically important microorganisms belonging to genera Thermus, Brevibacillus, Anoxybacillus, Bacillus, Pseudomonas, and Geobacillus were prevalent in hot springs. The analysis of functional potential by KEGG revealed pathways for metabolism of carbohydrates, amino acids, vitamins, cofactors and xenobiotics. Annotation with Carbohydrate Active EnZymes (CAZy) revealed the presence of four major classes of enzymes: glycosyl transferase, glycoside hydrolase, polysaccharide lyase and carbohydrate-binding modules. The study provides insight into the microbial community structure and their untapped functional potential for various biotechnological and environmental applications.

scholarly journals Microbial community diversity patterns are related to physical and chemical differences among temperate lakes near Beaver Island, MI

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3937 ◽  
Author(s):  
Miranda H. Hengy ◽  
Dean J. Horton ◽  
Donald G. Uzarski ◽  
Deric R. Learman
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Microbial Communities ◽  
Microbial Community Structure ◽  
Bottom Water ◽  
Community Diversity ◽  
Freshwater Lakes ◽  
Microbial Community Diversity ◽  
Physical And Chemical ◽  
Beaver Island

Lakes are dynamic and complex ecosystems that can be influenced by physical, chemical, and biological processes. Additionally, individual lakes are often chemically and physically distinct, even within the same geographic region. Here we show that differences in physicochemical conditions among freshwater lakes located on (and around) the same island, as well as within the water column of each lake, are significantly related to aquatic microbial community diversity. Water samples were collected over time from the surface and bottom-water within four freshwater lakes located around Beaver Island, MI within the Laurentian Great Lakes region. Three of the sampled lakes experienced seasonal lake mixing events, impacting either O2, pH, temperature, or a combination of the three. Microbial community alpha and beta diversity were assessed and individual microbial taxa were identified via high-throughput sequencing of the 16S rRNA gene. Results demonstrated that physical and chemical variability (temperature, dissolved oxygen, and pH) were significantly related to divergence in the beta diversity of surface and bottom-water microbial communities. Despite its correlation to microbial community structure in unconstrained analyses, constrained analyses demonstrated that dissolved organic carbon (DOC) concentration was not strongly related to microbial community structure among or within lakes. Additionally, several taxa were correlated (either positively or negatively) to environmental variables, which could be related to aerobic and anaerobic metabolisms. This study highlights the measurable relationships between environmental conditions and microbial communities within freshwater temperate lakes around the same island.

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