scholarly journals 16S rRNA–Based Analysis Reveals Differences in the Bacterial Community Present in Tissues of Choromytilus chorus (Mytilidae, Bivalvia) Grown in an Estuary and a Bay in Southern Chile

Diversity ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 209
Author(s):  
Tamara Valenzuela ◽  
Joaquin I. Riling ◽  
Giovanni Larama ◽  
Jacquelinne J. Acuña ◽  
Marco Campos ◽  
...  
Keyword(s):  
Bacterial Community ◽  
16S Rrna ◽  
Illumina Miseq ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Venn Diagram ◽  
Linear Discriminant ◽  
Operational Taxonomic Units ◽  
Marine Bivalves ◽  
Diagram Analysis

Microbiota associated with bivalves have drawn considerable attention because studies have suggested their relevance to the fitness and growth of marine bivalves. Although the mussel Choromytilus chorus is a valuable resource for Chilean aquaculture and fisheries, its microbiota is still unknown. In this study, the composition and predicted functions of the bacterial community in tissues of C. chorus specimens grown in an estuary (Nehuentue) and a bay (Hueihue) were investigated. Using 16S rRNA genes as targets, the bacterial abundance in tissues was estimated by quantitative PCR and sequenced via Illumina MiSeq. The abundances of bacteria ranged from 103 to 105 copies of 16S rRNA genes g−1 tissue. In the Nehuentue estuary, the bacterial communities in the tissues were dominated by the Tenericutes phylum, whereas the Tenericutes and Proteobacteria phyla dominated in mussels from Hueihue Bay. Higher numbers of operational taxonomic units (OTUs) were observed in tissues from the Nehuentue Estuary than in those from Hueihue Bay. Differences in bacterial community compositions in tissues between both locations were confirmed by nonmetric multidimensional scaling (nMDS) and Venn diagram analysis. In addition, linear discriminant analysis effect size (LEfSe) revealed that the Mollicutes class and Actynomycetales order were key phylotypes in tissues from the Nehuentue Estuary and Hueihue Bay, respectively. Our analysis also predicted a high abundance of sequences assigned to heterotrophy; however, relatively high functional diversity was also found in tissues from Hueihue Bay. This work represents our first attempt to elucidate the C. chorus microbiota in contrasting Chilean aquatic environments.

scholarly journals Treatment nonresponse in children receiving silver diamine fluoride for caries: A pilot study

2020 ◽  
Author(s):  
Ryan Richard Ruff ◽  
Bidisha Paul ◽  
Maria A Sierra ◽  
Fangxi Xu ◽  
Yasmi Crystal ◽  
...  
Keyword(s):  
Pilot Study ◽  
Bacterial Species ◽  
Illumina Miseq ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Lasso Regression ◽  
Silver Diamine Fluoride ◽  
Operational Taxonomic Units ◽  
Acid Tolerant ◽  
Nonsurgical Therapy

AbstractObjectives: Silver diamine fluoride (SDF) is a nonsurgical therapy for the arrest and prevention of dental caries with demonstrated clinical efficacy. Approximately 20% of children receiving SDF fail to respond to treatment. The objective of this study was to develop a predictive model of treatment nonresponse using machine learning. Methods: An observational pilot study (N=20) consisting of children with and without active decay and who did and did not respond to silver diamine fluoride provided salivary samples and plaque from infected and contralateral sites. 16S rRNA genes from samples were amplified and sequenced on an Illumina Miseq and analyzed using QIIME. The association between operational taxonomic units and treatment nonresponse was assessed using lasso regression and artificial neural networks. Results: Bivariate group comparisons of bacterial abundance indicate a number of genera were significantly different between nonresponders and those who responded to SDF therapy. No differences were found between nonresponders and caries-active subjects. Prevotella pallens and Veillonella denticariosi were retained in full lasso models and combined with clinical variables in a six-input multilayer perceptron. Discussion: The acidogenic and acid-tolerant nature of retained bacterial species may overcome the antimicrobial effects of SDF. Further research to validate the model in larger external samples is needed.

scholarly journals A method for high precision sequencing of near full-length 16S rRNA genes on an Illumina MiSeq

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2492 ◽  
Author(s):  
Catherine M. Burke ◽  
Aaron E. Darling
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
Single Molecule ◽  
Illumina Miseq ◽  
Full Length ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Bacterial Taxonomy

BackgroundThe bacterial 16S rRNA gene has historically been used in defining bacterial taxonomy and phylogeny. However, there are currently no high-throughput methods to sequence full-length 16S rRNA genes present in a sample with precision.ResultsWe describe a method for sequencing near full-length 16S rRNA gene amplicons using the high throughput Illumina MiSeq platform and test it using DNA from human skin swab samples. Proof of principle of the approach is demonstrated, with the generation of 1,604 sequences greater than 1,300 nt from a single Nano MiSeq run, with accuracy estimated to be 100-fold higher than standard Illumina reads. The reads were chimera filtered using information from a single molecule dual tagging scheme that boosts the signal available for chimera detection.ConclusionsThis method could be scaled up to generate many thousands of sequences per MiSeq run and could be applied to other sequencing platforms. This has great potential for populating databases with high quality, near full-length 16S rRNA gene sequences from under-represented taxa and environments and facilitates analyses of microbial communities at higher resolution.

scholarly journals Effects of Heavy Fuel Oil on the Bacterial Community Structure of a Pristine Microbial Mat

2007 ◽  
Vol 73 (19) ◽  
pp. 6089-6097 ◽  
Author(s):  
Sylvain Bordenave ◽  
María Soledad Goñi-Urriza ◽  
Pierre Caumette ◽  
Robert Duran
Keyword(s):  
Community Structure ◽  
Bacterial Community ◽  
16S Rrna ◽  
Oil Pollution ◽  
Microbial Mat ◽  
Fuel Oil ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Heavy Fuel Oil

ABSTRACT The effects of petroleum contamination on the bacterial community of a pristine microbial mat from Salins-de-Giraud (Camargue, France) have been investigated. Mats were maintained as microcosms and contaminated with no. 2 fuel oil from the wreck of the Erika. The evolution of the complex bacterial community was monitored by combining analyses based on 16S rRNA genes and their transcripts. 16S rRNA gene-based terminal restriction fragment length polymorphism (T-RFLP) analyses clearly showed the effects of the heavy fuel oil after 60 days of incubation. At the end of the experiment, the initial community structure was recovered, illustrating the resilience of this microbial ecosystem. In addition, the responses of the metabolically active bacterial community were evaluated by T-RFLP and clone library analyses based on 16S rRNA. Immediately after the heavy fuel oil was added to the microcosms, the structure of the active bacterial community was modified, indicating a rapid microbial mat response. Members of the Gammaproteobacteria were initially dominant in the contaminated microcosms. Pseudomonas and Acinetobacter were the main genera representative of this class. After 90 days of incubation, the Gammaproteobacteria were superseded by “Bacilli” and Alphaproteobacteria. This study shows the major changes that occur in the microbial mat community at different time periods following contamination. At the conclusion of the experiment, the RNA approach also demonstrated the resilience of the microbial mat community in resisting environmental stress resulting from oil pollution.

scholarly journals Distribution of Hydrogen-Producing Bacteria in Tibetan Hot Springs, China

2021 ◽  
Vol 12 ◽  
Author(s):  
Li Ma ◽  
Geng Wu ◽  
Jian Yang ◽  
Liuqin Huang ◽  
Dorji Phurbu ◽  
...  
Keyword(s):  
Community Structure ◽  
Hydrogen Production ◽  
16S Rrna ◽  
High Throughput Sequencing ◽  
Hot Springs ◽  
Illumina Miseq ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
The Tibetan Plateau

Investigating the distribution of hydrogen-producing bacteria (HPB) is of great significance to understanding the source of biological hydrogen production in geothermal environments. Here, we explored the compositions of HPB populations in the sediments of hot springs from the Daggyai, Quzhuomu, Quseyongba, and Moluojiang geothermal zones on the Tibetan Plateau, with the use of Illumina MiSeq high-throughput sequencing of 16S rRNA genes and hydA genes. In the present study, the hydA genes were successfully amplified from the hot springs with a temperature of 46–87°C. The hydA gene phylogenetic analysis showed that the top three phyla of the HPB populations were Bacteroidetes (14.48%), Spirochaetes (14.12%), and Thermotogae (10.45%), while Proteobacteria were absent in the top 10 of the HPB populations, although Proteobacteria were dominant in the 16S rRNA gene sequences. Canonical correspondence analysis results indicate that the HPB community structure in the studied Tibetan hot springs was correlated with various environmental factors, such as temperature, pH, and elevation. The HPB community structure also showed a spatial distribution pattern; samples from the same area showed similar community structures. Furthermore, one HPB isolate affiliated with Firmicutes was obtained and demonstrated the capacity of hydrogen production. These results are important for us to understand the distribution and function of HPB in hot springs.

scholarly journals Bacteria Associated with Mucus and Tissues of the Coral Oculina patagonica in Summer and Winter

2006 ◽  
Vol 72 (8) ◽  
pp. 5254-5259 ◽  
Author(s):  
Omry Koren ◽  
Eugene Rosenberg
Keyword(s):  
16S Rrna ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Culturable Bacteria ◽  
Vibrio Splendidus ◽  
Marine Agar ◽  
Tissue Samples ◽  
Operational Taxonomic Units ◽  
Sybr Gold ◽  
16S Rrna Clone Library

ABSTRACT The relative abundance of bacteria in the mucus and crushed tissue of the Mediterranean coral Oculina patagonica was determined by analyses of the 16S rRNA genes of isolated colonies and from a 16S rRNA clone library of extracted DNA. By SYBR gold staining, the numbers of bacteria in mucus and tissue samples were 6.2 × 107 and 8.3 × 108/cm2 of coral surface, respectively, 99.8% of which failed to produce colonies on Marine Agar. From analysis of mucus DNA, the most-abundant bacterium was Vibrio splendidus, representing 68% and 50% of the clones from the winter and summer, respectively. After removal of mucus from coral by centrifugation, analyses of DNA from the crushed tissue revealed a large diversity of bacteria, with Vibrio species representing less than 5% of the clones. The most-abundant culturable bacteria were a Pseudomonas sp. (8 to 14%) and two different α-proteobacteria (6 to 18%). Out of a total 1,088 16S rRNA genes sequenced, 400 different operational taxonomic units were identified (>99.5% identity). Of these, 295 were novel (<99% identical to any sequences in the GenBank database). This study provides a comprehensive database for future examinations of changes in the bacterial community during bleaching events.

scholarly journals Bacterial Composition, Community Structure, and Diversity in Apis nigrocincta Gut

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Christian Apolinaris Lombogia ◽  
Max Tulung ◽  
Jimmy Posangi ◽  
Trina Ekawati Tallei
Keyword(s):  
Community Structure ◽  
Illumina Miseq ◽  
Gut Bacteria ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Bacterial Composition ◽  
Operational Taxonomic Units ◽  
Adult Worker ◽  
Gut Microbial Community ◽  
Apis Nigrocincta

Understanding the honeybee gut bacteria is an essential aspect as honeybees are the primary pollinators of many crops. In this study, the honeybee-associated gut bacteria were investigated by targeting the V3-V4 region of 16S rRNA genes using the Illumina MiSeq. The adult worker was captured in an urban area in a dense settlement. In total, 83,018 reads were obtained, revealing six phyla from 749 bacterial operational taxonomic units (OTUs). The gut was dominated by Proteobacteria (58% of the total reads, including Enterobacteriaceae 28.2%, Erwinia 6.43%, and Klebsiella 4.90%), Firmicutes (29% of the total reads, including Lactococcus garvieae 13.45%, Lactobacillus spp. 8.19%, and Enterococcus spp. 4.47%), and Actinobacteria (8% of the total reads, including Bifidobacterium spp. 7.96%). Many of these bacteria belong to the group of lactic acid bacteria (LAB), which was claimed to be composed of beneficial bacteria involved in maintaining a healthy host. The honeybee was identified as Apis nigrocincta based on an identity BLAST search of its COI region. This study is the first report on the gut microbial community structure and composition of A. nigrocincta from Indonesia.

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