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Asset Tag: 16S

September 22, 2019  |  

Recent insights into the tick microbiome gained through next-generation sequencing.

The tick microbiome comprises communities of microorganisms, including viruses, bacteria and eukaryotes, and is being elucidated through modern molecular techniques. The advent of next-generation sequencing (NGS) technologies has enabled the genes and genomes within these microbial communities to be explored in a rapid and cost-effective manner. The advantages of using NGS to investigate microbiomes surpass the traditional non-molecular methods that are limited in their sensitivity, and conventional molecular approaches that are limited in their scalability. In recent years the number of studies using NGS to investigate the microbial diversity and composition of ticks has expanded. Here, we provide a review of NGS strategies for tick microbiome studies and discuss the recent findings from tick NGS investigations, including the bacterial diversity and composition, influential factors, and implications of the tick microbiome.

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September 22, 2019  |  

Soil microbial communities and elk foraging intensity: implications for soil biogeochemical cycling in the sagebrush steppe.

Foraging intensity of large herbivores may exert an indirect top-down ecological force on soil microbial communities via changes in plant litter inputs. We investigated the responses of the soil microbial community to elk (Cervus elaphus) winter range occupancy across a long-term foraging exclusion experiment in the sagebrush steppe of the North American Rocky Mountains, combining phylogenetic analysis of fungi and bacteria with shotgun metagenomics and extracellular enzyme assays. Winter foraging intensity was associated with reduced bacterial richness and increasingly distinct bacterial communities. Although fungal communities did not respond linearly to foraging intensity, a greater ß-diversity response to winter foraging exclusion was observed. Furthermore, winter foraging exclusion increased soil cellulolytic and hemicellulolytic enzyme potential and higher foraging intensity reduced chitinolytic gene abundance. Thus, future changes in winter range occupancy may shape biogeochemical processes via shifts in microbial communities and subsequent changes to their physiological capacities to cycle soil C and N.© 2017 John Wiley & Sons Ltd/CNRS.

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September 22, 2019  |  

Evaluation of 16S rRNA amplicon sequencing using two next-generation sequencing technologies for phylogenetic analysis of the rumen bacterial community in steers.

Next generation sequencing technologies have vastly changed the approach of sequencing of the 16S rRNA gene for studies in microbial ecology. Three distinct technologies are available for large-scale 16S sequencing. All three are subject to biases introduced by sequencing error rates, amplification primer selection, and read length, which can affect the apparent microbial community. In this study, we compared short read 16S rRNA variable regions, V1-V3, with that of near-full length 16S regions, V1-V8, using highly diverse steer rumen microbial communities, in order to examine the impact of technology selection on phylogenetic profiles. Short paired-end reads from the Illumina MiSeq platform were used to generate V1-V3 sequence, while long “circular consensus” reads from the Pacific Biosciences RSII instrument were used to generate V1-V8 data. The two platforms revealed similar microbial operational taxonomic units (OTUs), as well as similar species richness, Good’s coverage, and Shannon diversity metrics. However, the V1-V8 amplified ruminal community resulted in significant increases in several orders of taxa, such as phyla Proteobacteria and Verrucomicrobia (P < 0.05). Taxonomic classification accuracy was also greater in the near full-length read. UniFrac distance matrices using jackknifed UPGMA clustering also noted differences between the communities. These data support the consensus that longer reads result in a finer phylogenetic resolution that may not be achieved by shorter 16S rRNA gene fragments. Our work on the cattle rumen bacterial community demonstrates that utilizing near full-length 16S reads may be useful in conducting a more thorough study, or for developing a niche-specific database to use in analyzing data from shorter read technologies when budgetary constraints preclude use of near-full length 16S sequencing. Copyright © 2016 Elsevier B.V. All rights reserved.

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September 22, 2019  |  

Sequence motifs associated with paternal transmission of mitochondrial DNA in the horse mussel, Modiolus modiolus (Bivalvia: Mytilidae).

In the majority of metazoans paternal mitochondria represent evolutionary dead-ends. In many bivalves, however, this paradigm does not hold true; both maternal and paternal mitochondria are inherited. Herein, we characterize maternal and paternal mitochondrial control regions of the horse mussel, Modiolus modiolus (Bivalvia: Mytilidae). The maternal control region is 808bp long, while the paternal control region is longer at 2.3kb. We hypothesize that the size difference is due to a combination of repeated duplications within the control region of the paternal mtDNA genome, as well as an evolutionarily ancient recombination event between two sex-associated mtDNA genomes that led to the insertion of a second control region sequence in the genome that is now transmitted via males. In a comparison to other mytilid male control regions, we identified two evolutionarily Conserved Motifs, CMA and CMB, associated with paternal transmission of mitochondrial DNA. CMA is characterized by a conserved purine/pyrimidine pattern, while CMB exhibits a specific 13bp nucleotide string within a stem and loop structure. The identification of motifs CMA and CMB in M. modiolus extends our understanding of Sperm Transmission Elements (STEs) that have recently been identified as being associated with the paternal transmission of mitochondria in marine bivalves. Copyright © 2017 Elsevier B.V. All rights reserved.

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September 22, 2019  |  

Multiplex amplicon sequencing for microbe identification in community-based culture collections.

Microbiome analysis using metagenomic sequencing has revealed a vast microbial diversity associated with plants. Identifying the molecular functions associated with microbiome-plant interaction is a significant challenge concerning the development of microbiome-derived technologies applied to agriculture. An alternative to accelerate the discovery of the microbiome benefits to plants is to construct microbial culture collections concomitant with accessing microbial community structure and abundance. However, traditional methods of isolation, cultivation, and identification of microbes are time-consuming and expensive. Here we describe a method for identification of microbes in culture collections constructed by picking colonies from primary platings that may contain single or multiple microorganisms, which we named community-based culture collections (CBC). A multiplexing 16S rRNA gene amplicon sequencing based on two-step PCR amplifications with tagged primers for plates, rows, and columns allowed the identification of the microbial composition regardless if the well contains single or multiple microorganisms. The multiplexing system enables pooling amplicons into a single tube. The sequencing performed on the PacBio platform led to recovery near-full-length 16S rRNA gene sequences allowing accurate identification of microorganism composition in each plate well. Cross-referencing with plant microbiome structure and abundance allowed the estimation of diversity and abundance representation of microorganism in the CBC.

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September 22, 2019  |  

Application of PacBio Single Molecule Real-Time (SMRT) sequencing in bacterial source tracking analysis during milk powder production

This work developed a 16S rRNA-PacBio Single Molecule Real-Time (SMRT) sequencing-based method to identify and track the bacterial community of milk powder (MP) from two kinds of production settings, i.e., small-scale production contained within an in-house environment (minimal milk storage before pasteurization, milk concentration, and spray drying) and a large-scale factory production (prolonged milk storage before direct spray drying). A total of 18 samples were analyzed at the species level. Comparing with the large-scale factory production, only relatively little changes were observed in the bacterial community during the in-house production process, without significant loss in the levels of bioactive minor proteins (namely, lactoferrin, immunoglobulin G, lactoperoxidase, and lysozyme). The two most prevalent species in the in-house production, Bacillus cereus and Bacillus flexus, were likely originated from the raw milk with only small changes in their relative abundances (from 25.97% to 26.40%–28.89% and 27.40%, respectively) throughout the processing (from raw milk to MP). In contrast, large-scale factory production resulted in more obvious variation in the microbial content. This microbial tracking approach is valuable in identifying the contamination source and the specific stage when contamination happens; the implementation of such technique may also enhance food quality assurance systems that are currently used in the dairy industry.

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September 22, 2019  |  

Atmospheric N deposition alters connectance, but not functional potential among saprotrophic bacterial communities.

The use of co-occurrence patterns to investigate interactions between micro-organisms has provided novel insight into organismal interactions within microbial communities. However, anthropogenic impacts on microbial co-occurrence patterns and ecosystem function remain an important gap in our ecological knowledge. In a northern hardwood forest ecosystem located in Michigan, USA, 20 years of experimentally increased atmospheric N deposition has reduced forest floor decay and increased soil C storage. This ecosystem-level response occurred concomitantly with compositional changes in saprophytic fungi and bacteria. Here, we investigated the influence of experimental N deposition on biotic interactions among forest floor bacterial assemblages by employing phylogenetic and molecular ecological network analysis. When compared to the ambient treatment, the forest floor bacterial community under experimental N deposition was less rich, more phylogenetically dispersed and exhibited a more clustered co-occurrence network topology. Together, our observations reveal the presence of increased biotic interactions among saprotrophic bacterial assemblages under future rates of N deposition. Moreover, they support the hypothesis that nearly two decades of experimental N deposition can modify the organization of microbial communities and provide further insight into why anthropogenic N deposition has reduced decomposition, increased soil C storage and accelerated phenolic DOC production in our field experiment. © 2015 John Wiley & Sons Ltd.

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September 22, 2019  |  

Diversified microbiota of meconium is affected by maternal diabetes status.

This study was aimed to assess the diversity of the meconium microbiome and determine if the bacterial community is affected by maternal diabetes status.The first intestinal discharge (meconium) was collected from 23 newborns stratified by maternal diabetes status: 4 mothers had pre-gestational type 2 diabetes mellitus (DM) including one mother with dizygotic twins, 5 developed gestational diabetes mellitus (GDM) and 13 had no diabetes. The meconium microbiome was profiled using multi-barcode 16S rRNA sequencing followed by taxonomic assignment and diversity analysis.All meconium samples were not sterile and contained diversified microbiota. Compared with adult feces, the meconium showed a lower species diversity, higher sample-to-sample variation, and enrichment of Proteobacteria and reduction of Bacteroidetes. Among the meconium samples, the taxonomy analyses suggested that the overall bacterial content significantly differed by maternal diabetes status, with the microbiome of the DM group showing higher alpha-diversity than that of no-diabetes or GDM groups. No global difference was found between babies delivered vaginally versus via Cesarean-section. Regression analysis showed that the most robust predictor for the meconium microbiota composition was the maternal diabetes status that preceded pregnancy. Specifically, Bacteroidetes (phyla) and Parabacteriodes (genus) were enriched in the meconium in the DM group compared to the no-diabetes group.Our study provides evidence that meconium contains diversified microbiota and is not affected by the mode of delivery. It also suggests that the meconium microbiome of infants born to mothers with DM is enriched for the same bacterial taxa as those reported in the fecal microbiome of adult DM patients.

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September 22, 2019  |  

Nasopharyngeal microbiome in premature infants and stability during rhinovirus infection.

The nasopharyngeal (NP) microbiota of newborns and infants plays a key role in modulating airway inflammation and respiratory symptoms during viral infections. Premature (PM) birth modifies the early NP environment and is a major risk factor for severe viral respiratory infections. However, it is currently unknown if the NP microbiota of PM infants is altered relative to full-term (FT) individuals.To characterize the NP microbiota differences in preterm and FT infants during rhinovirus (RV) infection.We determined the NP microbiota of infants 6 months to =2 years of age born FT (n=6) or severely PM<32 weeks gestation (n=7). We compared microbiota composition in healthy NP samples and performed a longitudinal analysis during naturally occurring RV infections to contrast the microbiota dynamics in PM versus FT infants.We observed significant differences in the NP bacterial community of PM versus FT. NP from PM infants had higher within-group dissimilarity (heterogeneity) relative to FT infants. Bacterial composition of NP samples from PM infants showed increased Proteobacteria and decreased in Firmicutes. There were also differences in the major taxonomic groups identified, including Streptococcus, Moraxella, and Haemophilus. Longitudinal data showed that these prematurity-related microbiota features persisted during RV infection.PM is associated with NP microbiota changes beyond the neonatal stage. PM infants have an NP microbiota with high heterogeneity relative to FT infants. These prematurity-related microbiota features persisted during RV infection, suggesting that the NP microbiota of PM may play an important role in modulating airway inflammatory and immune responses in this vulnerable group. Copyright © 2017 American Federation for Medical Research.

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September 22, 2019  |  

Bacterial microbiota composition of fermented fruit and vegetable juices (jiaosu) analyzed by single-molecule, real-time (SMRT) sequencing

Commercially manufactured ‘jiaosu’ (fermented fruit and vegetable juices) have gained popularity in Asia recently. Like other fermented products, they have a high microbial diversity and richness. However, no published study has yet described their microbiota composition. Thus, this work aimed to obtain the full-length 16S rRNA profiles of jiaosu using the PacBio single-molecule, real-time sequencing technology. We described the bacterial microbiota of three jiaosu products purchased from Taiwan and Japan. Bacterial sequences from all three samples distributed across seven different phyla, mainly Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidetes. Forty-three genera were identified (e.g. Ochrobactrum, Lactobacillus, Mycobacterium, and Acinetobacter). Fifty- five species were identified (e.g. Ochrobactrum lupini, Mycobacterium abscessus, Acinetobacter john- sonii, Lactobacillus paracasei, Lactobacillus delbrueckii, and Petrobacter succinatimandens). No patho- gen sequences were identified within the entire dataset. Moreover, only a low proportion of sequences represented common skin microflora and the food hygiene indicator Escherichia/ Shigella, suggesting overall acceptable sanitary conditions during the manufacturing process.

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September 22, 2019  |  

Bacterial microbiota of Kazakhstan cheese revealed by single molecule real time (SMRT) sequencing and its comparison with Belgian, Kalmykian and Italian artisanal cheeses

In Kazakhstan, traditional artisanal cheeses have a long history and are widely consumed. The unique characteristics of local artisanal cheeses are almost completely preserved. However, their microbial communities have rarely been reported. The current study firstly generated the Single Molecule, Real-Time (SMRT) sequencing bacterial diversity profiles of 6 traditional artisanal cheese samples of Kazakhstan origin, followed by comparatively analyzed the microbiota composition between the current dataset and those from cheeses originated from Belgium, Russian Republic of Kalmykia (Kalmykia) and Italy.

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