Analysis of changes in the microbial community structure and physicochemical properties during the fermentation of sand crab juice

2021 ◽  
Author(s):  
Meiyan Luo ◽  
Leilei Chen ◽  
Huanming Liu ◽  
Jiahui Jiang ◽  
Chongxi Lai ◽  
...  
Keyword(s):  
Microbial Community ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Species Abundance ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Isolation Technique ◽  
Bacterial Phyla ◽  
Staphylococcus Equorum ◽  
Rrna Gene Sequencing

Abstract The structure of the microbial community during sand crab juice fermentation was analyzed using culture-based methods and high-throughput 16S rRNA gene sequencing. Additionally, the changes in amino acid nitrogen (AAN) and total volatile basic nitrogen (TVB-N) were evaluated. Staphylococcus equorum, Staphylococcus arlettae, Staphylococcus saprophyticus, Salinicoccus amylolyticus, and Bacillus cereus were isolated by traditional culture isolation technique. The Good's coverage obtained by high-throughput sequencing was over 99.5%, and the Chao1 and Simpson indices showed small fluctuations, indicating that the species abundance and diversity did not change significantly during the fermentation process, although the abundance decreased. Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria were the dominant bacterial phyla observed during fermentation, whereas Aquabacterium, Roseovarius, Muribaculaceae, and Silicimonas were the dominant bacterial genera. The AAN content increased from 0.15 to 0.43 g/100 mL during the 15-day fermentation, indicating the production of small peptides and amino acids during fermentation. The TVB-N content (25.2 mg/100 mL) on day 15 indicated slight spoilage of sand crab juice, although the freshness conformed to the production standard. These results provide a theoretical basis for improving the quality and optimizing the production process of sand crab juice.

scholarly journals Phylogenetic Differences in Attached and Free-Living Bacterial Communities in a Temperate Coastal Lagoon during Summer, Revealed via High-Throughput 16S rRNA Gene Sequencing

2014 ◽  
Vol 80 (7) ◽  
pp. 2071-2083 ◽  
Author(s):  
Vani Mohit ◽  
Philippe Archambault ◽  
Nicolas Toupoint ◽  
Connie Lovejoy
Keyword(s):  
Bacterial Diversity ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Anthropogenic Activities ◽  
Late Summer ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Free Living ◽  
Content Type ◽  
Bacterial Phyla

ABSTRACTMost of what is known about coastal free-living and attached bacterial diversity is based on open coasts, with high particulate and nutrient riverine supply, terrestrial runoffs, and anthropogenic activities. The Magdalen Islands in the Gulf of St. Lawrence (Canada) are dominated by shallow lagoons with small, relatively pristine catchments and no freshwater input apart from rain. Such conditions provided an opportunity to investigate coastal free-living and attached marine bacterial diversity in the absence of confounding effects of steep freshwater gradients. We found significant differences between the two communities and marked temporal patterns in both. Taxonomic richness and diversity were greater in the attached than in the free-living community, increasing over summer, especially within the least abundant bacterial phyla. The highest number of reads fell within the SAR 11 clade (Pelagibacter,Alphaproteobacteria), which dominated free-living communities. The attached communities had deeper phylum-level diversity than the free-living fraction. Distance-based redundancy analysis indicated that the particulate organic matter (POM) concentration was the main variable separating early and late summer samples with salinity and temperature changes also significantly correlated to bacterial community structure. Our approach using high-throughput sequencing detected differences in free-living versus attached bacteria in the absence of riverine input, in keeping with the concept that marine attached communities are distinct from cooccurring free-living taxa. This diversity likely reflects the diverse microhabitats of available particles, implying that the total bacterial diversity in coastal systems is linked to particle supply and variability, with implications for understanding microbial biodiversity in marine systems.

scholarly journals High-Throughput Sequencing for Examining Salmonella Prevalence and Pathogen—Microbiota Relationships in Barn Swallows

2021 ◽  
Vol 9 ◽  
Author(s):  
Olivia N. Choi ◽  
Ammon Corl ◽  
Andrew Wolfenden ◽  
Avishai Lublin ◽  
Suzanne L. Ishaq ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
High Throughput Sequencing ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Sequencing Data ◽  
Barn Swallows ◽  
Rrna Gene Sequencing

Studies in both humans and model organisms suggest that the microbiome may play a significant role in host health, including digestion and immune function. Microbiota can offer protection from exogenous pathogens through colonization resistance, but microbial dysbiosis in the gastrointestinal tract can decrease resistance and is associated with pathogenesis. Little is known about the effects of potential pathogens, such as Salmonella, on the microbiome in wildlife, which are known to play an important role in disease transmission to humans. Culturing techniques have traditionally been used to detect pathogens, but recent studies have utilized high throughput sequencing of the 16S rRNA gene to characterize host-associated microbial communities (i.e., the microbiome) and to detect specific bacteria. Building upon this work, we evaluated the utility of high throughput 16S rRNA gene sequencing for potential bacterial pathogen detection in barn swallows (Hirundo rustica) and used these data to explore relationships between potential pathogens and microbiota. To accomplish this, we first compared the detection of Salmonella spp. in swallows using 16S rRNA data with standard culture techniques. Second, we examined the prevalence of Salmonella using 16S rRNA data and examined the relationship between Salmonella-presence or -absence and individual host factors. Lastly, we evaluated host-associated bacterial diversity and community composition in Salmonella-present vs. -absent birds. Out of 108 samples, we detected Salmonella in six (5.6%) samples based on culture, 25 (23.1%) samples with unrarefied 16S rRNA gene sequencing data, and three (2.8%) samples with both techniques. We found that sex, migratory status, and weight were correlated with Salmonella presence in swallows. In addition, bacterial community composition and diversity differed between birds based on Salmonella status. This study highlights the value of 16S rRNA gene sequencing data for monitoring pathogens in wild birds and investigating the ecology of host microbe-pathogen relationships, data which are important for prediction and mitigation of disease spillover into domestic animals and humans.

scholarly journals A 16S rRNA gene sequencing and analysis protocol for the Illumina MiniSeq platform

2017 ◽  
Author(s):  
Monica Pichler ◽  
Ömer K. Coskun ◽  
Ana Sofia Ortega ◽  
Nicola Conci ◽  
Gert Wörheide ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
High Throughput ◽  
Environmental Samples ◽  
High Throughput Sequencing ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Mock Community ◽  
Rrna Gene Sequencing

ABSTRACTHigh-throughput sequencing of the 16S rRNA gene is widely used in microbial ecology, with Illumina platforms being widely used in recent studies. The MiniSeq, Illumina’s latest benchtop sequencer, enables more cost-efficient DNA sequencing relative to larger sequencing platforms (e.g. MiSeq). Here we used a modified custom primer sequencing approach to test the fidelity of the MiniSeq for high-throughput sequencing of the V4 hypervariable region of 16S rRNA genes from complex communities in environmental samples. To this end, we designed an additional sequencing primer that enabled application of a dual-index barcoding method on the MiniSeq. A mock community was sequenced alongside the environmental samples as a quality control benchmark. After careful filtering procedures, we were able to recapture a realistic richness of the mock community, and identify meaningful differences in alpha and beta diversity in the environmental samples. These results show that the MiniSeq can produce similar quantities of high quality V4 reads compared to the MiSeq, yet is a cost-effective option for any laboratory interested in performing high-throughput 16S rRNA gene sequencing.IMPORTANCEWe modified a custom sequencing approach and used a mock community to test the fidelity of high-throughput sequencing on the Illumina MiniSeq platform. Our results show that the MiniSeq can produce similar quantities of high quality V4 reads compared to the MiSeq. In addition, our protocol increases feasibility for small laboratories to perform their own high-throughput sequencing of the 16S rRNA marker gene.

Composition of seagrass phyllosphere microbial communities suggests rapid environmental regulation of community structure

2021 ◽  
Author(s):  
Margaret A Vogel ◽  
Olivia U Mason ◽  
Thomas E Miller
Keyword(s):  
Microbial Community ◽  
Microbial Communities ◽  
Host Plant ◽  
Environmental Conditions ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Community Members ◽  
Bacterial Phyla ◽  
Primary Driver ◽  
Rrna Gene Sequencing

Abstract Recent studies have revealed that seagrass blade surfaces, also known as the phyllosphere, are rich habitats for microbes; however, the primary drivers of composition and structure in these microbial communities are largely unknown. This study utilized a reciprocal transplant approach between two sites with different environmental conditions combined with 16S rRNA gene sequencing (iTag) to examine the relative influence of environmental conditions and host plant on phyllosphere community composition of the seagrass Thalassia testudinum. After thirty days, identity of phyllosphere microbial community members was more similar within the transplant sites than between despite differences in the source of host plant. Additionally, the diversity and evenness of these communities was significantly different between the two sites. These results indicated that local environmental conditions can be a primary driver in structuring seagrass phyllosphere microbial communities over relatively short time scales. Composition of microbial community members in this study also deviated from those in previous seagrass phyllosphere studies with a higher representation of candidate bacterial phyla and archaea than previously observed. The capacity for seagrass phyllosphere microbial communities to shift dramatically with environmental conditions, including ecosystem perturbations, could significantly affect seagrass-microbe interactions in ways that may influence the health of the seagrass host.

scholarly journals Arsenic mobilization in a high arsenic groundwater revealed by metagenomic and Geochip analyses

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Zhou Jiang ◽  
Ping Li ◽  
Yanhong Wang ◽  
Han Liu ◽  
Dazhun Wei ◽  
...  
Keyword(s):  
Microbial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Arsenic Mobilization ◽  
Rrna Gene Sequencing ◽  
High Arsenic ◽  
High Arsenic Groundwater

Abstract Microbial metabolisms of arsenic, iron, sulfur, nitrogen and organic matter play important roles in arsenic mobilization in aquifer. In this study, microbial community composition and functional potentials in a high arsenic groundwater were investigated using integrated techniques of RNA- and DNA-based 16S rRNA gene sequencing, metagenomic sequencing and functional gene arrays. 16S rRNA gene sequencing showed the sample was dominated by members of Proteobacteria (62.3–75.2%), such as genera of Simplicispira (5.7–6.7%), Pseudomonas (3.3–5.7%), Ferribacterium (1.6–4.4%), Solimonas (1.8–3.2%), Geobacter (0.8–2.2%) and Sediminibacterium (0.6–2.4%). Functional potential analyses indicated that organics degradation, assimilatory sulfate reduction, As-resistant pathway, iron reduction, ammonification, nitrogen fixation, denitrification and dissimilatory nitrate reduction to ammonia were prevalent. The composition and function of microbial community and reconstructed genome bins suggest that high level of arsenite in the groundwater may be attributed to arsenate release from iron oxides reductive dissolution by the iron-reducing bacteria, and subsequent arsenate reduction by ammonia-producing bacteria featuring ars operon. This study highlights the relationship between biogeochemical cycling of arsenic and nitrogen in groundwater, which potentially occur in other aquifers with high levels of ammonia and arsenic.

scholarly journals Age-Related Colonic Mucosal Microbiome Community Shifts in Monkeys

2020 ◽  
Author(s):  
Ravichandra Vemuri ◽  
Chrissy Sherrill ◽  
Matthew A Davis ◽  
Kylie Kavanagh
Keyword(s):  
Microbial Community ◽  
Systemic Inflammation ◽  
16S Rrna Gene Sequencing ◽  
Microbial Interactions ◽  
Rrna Gene ◽  
Vervet Monkeys ◽  
Fecal Samples ◽  
Age Related ◽  
Rrna Gene Sequencing ◽  
The Stability

Abstract Age-related changes in gut microbiome impact host health. The interactive relationship between the microbiome and physiological systems in an aged body system remains to be clearly defined, particularly in the context of inflammation. Therefore, we aimed to evaluate systemic inflammation, microbial translocation (MT), and differences between fecal and mucosal microbiomes. Ascending colon mucosal biopsies, fecal samples, and blood samples from healthy young and old female vervet monkeys were collected for 16S rRNA gene sequencing, MT, and cytokine analyses, respectively. To demonstrate microbial co-occurrence patterns, we used Kendall’s tau correlation measure of interactions between microbes. We found elevated levels of plasma LBP-1, MCP-1, and CRP in old monkeys, indicative of higher MT and systemic inflammation. Microbiome analysis revealed significant differences specific to age. At the phylum level, abundances of pathobionts such as Proteobacteria were increased in the mucosa of old monkeys. At the family level, Helicobacteriaceae was highly abundant in mucosal samples (old); in contrast, Ruminococcaceae were higher in the fecal samples of old monkeys. We found significantly lower Firmicutes:Bacteroidetes ratio and lower abundance of butyrate-producing microbes in old monkeys, consistent with less healthy profiles. Microbial community co-occurrence analysis on mucosal samples revealed 13 nodes and 41 associations in the young monkeys, but only 12 nodes and 21 associations in the old monkeys. Our findings provide novel insights into systemic inflammation and gut microbial interactions, highlight the importance of the mucosal niche, and facilitate further understanding of the decline in the stability of the microbial community with aging.

scholarly journals The Gut Microbial Community of Antarctic Fish Detected by 16S rRNA Gene Sequence Analysis

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Wei Song ◽  
Lingzhi Li ◽  
Hongliang Huang ◽  
Keji Jiang ◽  
Fengying Zhang ◽  
...  
Keyword(s):  
Microbial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Bacterial Communities ◽  
Antarctic Fish ◽  
16S Rrna Gene Sequencing ◽  
Physiological Characteristics ◽  
Rrna Gene ◽  
Rrna Gene Sequencing ◽  
Gut Microbial Community

Intestinal bacterial communities are highly relevant to the digestion, nutrition, growth, reproduction, and a range of fitness in fish, but little is known about the gut microbial community in Antarctic fish. In this study, the composition of intestinal microbial community in four species of Antarctic fish was detected based on 16S rRNA gene sequencing. As a result, 1 004 639 sequences were obtained from 13 samples identified into 36 phyla and 804 genera, in which Proteobacteria, Actinobacteria, Firmicutes, Thermi, and Bacteroidetes were the dominant phyla, and Rhodococcus, Thermus, Acinetobacter, Propionibacterium, Streptococcus, and Mycoplasma were the dominant genera. The number of common OTUs (operational taxonomic units) varied from 346 to 768, while unique OTUs varied from 84 to 694 in the four species of Antarctic fish. Moreover, intestinal bacterial communities in individuals of each species were not really similar, and those in the four species were not absolutely different, suggesting that bacterial communities might influence the physiological characteristics of Antarctic fish, and the common bacterial communities might contribute to the fish survival ability in extreme Antarctic environment, while the different ones were related to the living habits. All of these results could offer certain information for the future study of Antarctic fish physiological characteristics.

scholarly journals Surface Microflora of Four Smear-Ripened Cheeses

2005 ◽  
Vol 71 (11) ◽  
pp. 6489-6500 ◽  
Author(s):  
Jérôme Mounier ◽  
Roberto Gelsomino ◽  
Stefanie Goerges ◽  
Marc Vancanneyt ◽  
Katrien Vandemeulebroecke ◽  
...  
Keyword(s):  
Micrococcus Luteus ◽  
Debaryomyces Hansenii ◽  
Rflp Analysis ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Staphylococcus Equorum ◽  
Dna Restriction ◽  
Rrna Gene Sequencing ◽  
Mtdna Rflp

ABSTRACT The microbial composition of smear-ripened cheeses is not very clear. A total of 194 bacterial isolates and 187 yeast isolates from the surfaces of four Irish farmhouse smear-ripened cheeses were identified at the midpoint of ripening using pulsed-field gel electrophoresis (PFGE), repetitive sequence-based PCR, and 16S rRNA gene sequencing for identifying and typing the bacteria and Fourier transform infrared spectroscopy and mitochondrial DNA restriction fragment length polymorphism (mtDNA RFLP) analysis for identifying and typing the yeast. The yeast microflora was very uniform, and Debaryomyces hansenii was the dominant species in the four cheeses. Yarrowia lipolytica was also isolated in low numbers from one cheese. The bacteria were highly diverse, and 14 different species, Corynebacterium casei, Corynebacterium variabile, Arthrobacter arilaitensis, Arthrobacter sp., Microbacterium gubbeenense, Agrococcus sp. nov., Brevibacterium linens, Staphylococcus epidermidis, Staphylococcus equorum, Staphylococcus saprophyticus, Micrococcus luteus, Halomonas venusta, Vibrio sp., and Bacillus sp., were identified on the four cheeses. Each cheese had a more or less unique microflora with four to nine species on its surface. However, two bacteria, C. casei and A. arilaitensis, were found on each cheese. Diversity at the strain level was also observed, based on the different PFGE patterns and mtDNA RFLP profiles of the dominant bacterial and yeast species. None of the ripening cultures deliberately inoculated onto the surface were reisolated from the cheeses. This study confirms the importance of the adventitious, resident microflora in the ripening of smear cheeses.

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