scholarly journals Soil microbes and oxygen influence the changes in bacterial community composition during swine carcass decomposition

2021 ◽  
Author(s):  
Michelle Miguel ◽  
Seon Ho Kim ◽  
Sang Suk Lee ◽  
Yong Il Cho
Keyword(s):  
Bacterial Community ◽  
16S Rrna ◽  
Community Composition ◽  
Soil Microbes ◽  
Close Association ◽  
Bacterial Community Composition ◽  
Alpha Diversity ◽  
Decomposition Process ◽  
Metagenomic Sequencing ◽  
Unsterilized Soil

Abstract Background Carcass decomposition is influenced by various factors such as temperature, humidity, microorganisms, invertebrates, and scavengers. Soil microbes play a significant role in the decomposition process. In this study, we investigated the changes in the bacterial community during carcass decomposition in soil with an intact microbial community and soil which was sterilized decomposed with and without oxygen access using 16s rRNA metagenomic sequencing. Results Based on the 16S rRNA metagenomic sequencing, a total of 988 operational taxonomic units (OTUs) representing 16 phyla and 533 genera were detected. The bacterial diversity varied across the based on the alpha diversity indices. The bacterial composition in the unsterilized soil – aerobic condition (U_A) and unsterilized soil – anaerobic condition (U_An) set-ups have higher alpha diversity than the other burial set-ups. Beta diversity analysis revealed a close association in the samples according to the burial type and decomposition day. Firmicutes was the dominant phylum across all samples regardless of the burial type and decomposition day. The bacterial community composition changed throughout the decomposition process in all burial set-up. Meanwhile, the genus Bacillus dominated the bacterial community towards the end of decomposition period. Conclusions Our results showed that bacterial community composition changed during carcass decomposition and was affected by the soil and oxygen access, with microorganisms belonging to phylum Firmicutes dominating the community.

Dynamics of the bacterial community in a channel catfish nursery pond with a cage–pond integration system

2018 ◽  
Vol 64 (12) ◽  
pp. 954-967 ◽  
Author(s):  
Liqiang Zhong ◽  
Daming Li ◽  
Minghua Wang ◽  
Xiaohui Chen ◽  
Wenji Bian ◽  
...  
Keyword(s):  
Bacterial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Community Composition ◽  
Channel Catfish ◽  
Bacterial Community Composition ◽  
Rrna Gene ◽  
Integration System ◽  
Nursery Pond ◽  
Site Variation

The changes in the bacterial community composition in a channel catfish nursery pond with a cage–pond integration system were investigated by sequencing of the 16S rRNA gene through Illumina MiSeq sequencing platforms. A total of 1 362 877 sequences and 1440 operational taxonomic units were obtained. Further analysis showed that the dominant phyla in the cage and pond groups were similar, including Actinobacteria, Cyanobacteria, Proteobacteria, and Bacteroidetes, although a significant difference was detected between them by ANOSIM (P < 0.05). Temporal changes and site variation were significantly related to the variation of the bacterial community. A comprehensive analysis of the diversity and evenness of the bacterial 16S rRNA gene, redundancy analysis (RDA), and partial Mantel test showed that the bacterial community composition in a cage–pond integration system was shaped more by temporal variation than by site variation. RDA also indicated that water temperature, total dissolved solids, and Secchi depth had the largest impact on bacterial populations.

scholarly journals Variation in the Gut Microbiota of Common Marmosets: Differences with Colony of Origin and Integration

2020 ◽  
Author(s):  
Rachel E. Cooper ◽  
Lisa M. Mangus ◽  
Jessica Lynch ◽  
Kayla Schonvisky ◽  
Justin R. Wright ◽  
...  
Keyword(s):  
Bacterial Community ◽  
16S Rrna ◽  
Community Composition ◽  
Beta Diversity ◽  
Rectal Swab ◽  
Bacterial Community Composition ◽  
16S Rrna Sequencing ◽  
Animal Origin ◽  
Common Marmosets ◽  
Rrna Sequencing

AbstractCharacterization of the gut microbiome may aid understanding and management of natural and experimental disease states in research animals, thereby promoting reproducibility. In this study, the rectal bacterial communities of three separate common marmoset (Callithrix jacchus) breeding colonies were defined using 16S rRNA sequencing of rectal swab samples. Study animals originated from two German colonies and a United States colony (JHU). The two German cohorts, previously fed the same diet, were imported into the JHU facility; they were then isolated, transitioned onto JHU diet, and then moved into rooms housing JHU animals. To dissect the contributions of diet and integration in shaping the rectal bacterial community, samples were collected from German origin marmosets upon JHU arrival (baseline), following diet transition (100 d), and following cohousing (390 d). Baseline and 390 d samples were collected from stably maintained JHU marmosets. Bacterial community composition was distinct between all three cohorts at baseline, suggesting that factors other than primary diet confer significant differences between captive populations. Beta-diversity of the animals from the two German colonies converged by 100 d but remained distinct from JHU sample beta-diversity throughout the 390-d study, indicating that diet had greater influence on bacterial community composition than did housing animals within the same room. Our results demonstrate substantial differences in gut bacteria between different captive marmoset colonies, with persistence of these differences following husbandry standardization and housing integration. Goals of rigor and reproducibility in research underscore the need to consider microbial differences between marmosets of diverse origin.ImportanceCharacterizing gut microbial populations is expected to promote health and enhance research reproducibility in animal studies. As use of common marmosets as animal models of human diseases expands, evaluating the marmoset gut bacterial community will be critical for interpreting research findings, especially as marmosets are prone to gastrointestinal inflammation. In this study, using 16S rRNA sequencing of rectal swab samples, we compared bacterial community among three captive colonies of marmosets at baseline and following importation of cohorts from two of the colonies into the third colony. Diet history had sustained influence on bacterial community composition, while housing the animals within the same room over a period of eight months did not appear to be a major factor. These persistent differences in marmoset gut bacterial community highlight the need for careful consideration of animal origin as a variable in marmoset research studies.

scholarly journals Vaginal bacterial community composition and concentrations of estradiol at the time of artificial insemination in Brangus heifers

2020 ◽  
Vol 98 (6) ◽  
Author(s):  
Riley D Messman ◽  
Zully E Contreras-Correa ◽  
Henry A Paz ◽  
George Perry ◽  
Caleb O Lemley
Keyword(s):  
Bacterial Community ◽  
Community Composition ◽  
Artificial Insemination ◽  
Beta Diversity ◽  
Bacterial Community Composition ◽  
Alpha Diversity ◽  
Species Level ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Vaginal Tract

Abstract The knowledge surrounding the bovine vaginal microbiota and its implications on fertility and reproductive traits remains incomplete. The objective of the current study was to characterize the bovine vaginal bacterial community and estradiol concentrations at the time of artificial insemination (AI). Brangus heifers (n = 78) underwent a 7-d Co-Synch + controlled internal drug release estrus synchronization protocol. At AI, a double-guarded uterine culture swab was used to sample the anterior vaginal tract. Immediately after swabbing the vaginal tract, blood samples were collected by coccygeal venipuncture to determine concentrations of estradiol. Heifers were retrospectively classified as pregnant (n = 29) vs. nonpregnant (n = 49) between 41 and 57 d post-AI. Additionally, heifers were classified into low (1.1 to 2.5 pg/mL; n = 21), medium (2.6 to 6.7 pg/mL; n = 30), and high (7.2 to 17.6 pg/mL; n = 27) concentration of estradiol. The vaginal bacterial community composition was determined through sequencing of the V4 region from the 16S rRNA gene using the Illumina Miseq platform. Alpha diversity was compared via ANOVA and beta diversity was compared via PERMANOVA. There were no differences in the Shannon diversity index (alpha diversity; P = 0.336) or Bray–Curtis dissimilarity (beta diversity; P = 0.744) of pregnant vs. nonpregnant heifers. Overall, bacterial community composition in heifers with high, medium, or low concentrations of estradiol did not differ (P = 0.512). While no overall compositional differences were observed, species-level differences were present within pregnancy status and estradiol concentration groups. The implications of these species-level differences are unknown, but these differences could alter the vaginal environment thereby influencing fertility and vaginal health. Therefore, species-level changes could provide better insight rather than overall microbial composition in relation to an animal’s reproductive health.

Bacterial community composition of anthropogenic biochar and Amazonian anthrosols assessed by 16S rRNA gene 454 pyrosequencing

2013 ◽  
Vol 104 (2) ◽  
pp. 233-242 ◽  
Author(s):  
Rodrigo Gouvêa Taketani ◽  
Amanda Barbosa Lima ◽  
Ederson da Conceição Jesus ◽  
Wenceslau Geraldes Teixeira ◽  
James M. Tiedje ◽  
...  
Keyword(s):  
Bacterial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Community Composition ◽  
454 Pyrosequencing ◽  
Bacterial Community Composition ◽  
Rrna Gene

scholarly journals High-Resolution Melt Analysis for Rapid Comparison of Bacterial Community Compositions

2014 ◽  
Vol 80 (12) ◽  
pp. 3568-3575 ◽  
Author(s):  
Mathis Hjort Hjelmsø ◽  
Lars Hestbjerg Hansen ◽  
Jacob Bælum ◽  
Louise Feld ◽  
William E. Holben ◽  
...  
Keyword(s):  
High Resolution ◽  
Bacterial Community ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Community Composition ◽  
Bacterial Community Composition ◽  
Amplicon Sequencing ◽  
Rrna Gene ◽  
High Resolution Melt ◽  
Hrm Analysis

ABSTRACTIn the study of bacterial community composition, 16S rRNA gene amplicon sequencing is today among the preferred methods of analysis. The cost of nucleotide sequence analysis, including requisite computational and bioinformatic steps, however, takes up a large part of many research budgets. High-resolution melt (HRM) analysis is the study of the melt behavior of specific PCR products. Here we describe a novel high-throughput approach in which we used HRM analysis targeting the 16S rRNA gene to rapidly screen multiple complex samples for differences in bacterial community composition. We hypothesized that HRM analysis of amplified 16S rRNA genes from a soil ecosystem could be used as a screening tool to identify changes in bacterial community structure. This hypothesis was tested using a soil microcosm setup exposed to a total of six treatments representing different combinations of pesticide and fertilization treatments. The HRM analysis identified a shift in the bacterial community composition in two of the treatments, both including the soil fumigant Basamid GR. These results were confirmed with both denaturing gradient gel electrophoresis (DGGE) analysis and 454-based 16S rRNA gene amplicon sequencing. HRM analysis was shown to be a fast, high-throughput technique that can serve as an effective alternative to gel-based screening methods to monitor microbial community composition.

scholarly journals Diagnostic Potential and Interactive Dynamics of the Colorectal Cancer Virome

mBio ◽  
2018 ◽  
Vol 9 (6) ◽  
Author(s):  
Geoffrey D. Hannigan ◽  
Melissa B. Duhaime ◽  
Mack T. Ruffin ◽  
Charlie C. Koumpouras ◽  
Patrick D. Schloss
Keyword(s):  
Colorectal Cancer ◽  
Bacterial Community ◽  
Community Composition ◽  
Cancer Progression ◽  
Bacterial Community Composition ◽  
The United States ◽  
Rrna Gene ◽  
Metagenomic Sequencing ◽  
Diagnostic Potential ◽  
Virus Communities

ABSTRACT Human viruses (those that infect human cells) have been associated with many cancers, largely due to their mutagenic and functionally manipulative abilities. Despite this, cancer microbiome studies have focused almost exclusively on bacteria instead of viruses. We began evaluating the cancer virome by focusing on colorectal cancer, a primary cause of morbidity and mortality throughout the world and a cancer linked to altered colonic bacterial community compositions but with an unknown association with the gut virome. We used 16S rRNA gene, whole shotgun metagenomic, and purified virus metagenomic sequencing of stool to evaluate the differences in human colorectal cancer virus and bacterial community composition. Through random forest modeling, we identified differences in the healthy and colorectal cancer viromes. The cancer-associated virome consisted primarily of temperate bacteriophages that were also predicted to be bacterium-virus community network hubs. These results provide foundational evidence that bacteriophage communities are associated with colorectal cancer and potentially impact cancer progression by altering the bacterial host communities. IMPORTANCE Colorectal cancer is a leading cause of cancer-related death in the United States and worldwide. Its risk and severity have been linked to colonic bacterial community composition. Although human-specific viruses have been linked to other cancers and diseases, little is known about colorectal cancer virus communities. We addressed this knowledge gap by identifying differences in colonic virus communities in the stool of colorectal cancer patients and how they compared to bacterial community differences. The results suggested an indirect role for the virome in impacting colorectal cancer by modulating the associated bacterial community. These findings both support the idea of a biological role for viruses in colorectal cancer and provide a new understanding of basic colorectal cancer etiology.

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.

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