scholarly journals Bacterial Diversity Analysis and Evaluation Proteins Hydrolysis During the Acid Whey and Fish Waste Fermentation

2021 ◽  
Vol 9 (1) ◽  
pp. 100
Author(s):  
Alba C. Mayta-Apaza ◽  
Israel García-Cano ◽  
Konrad Dabrowski ◽  
Rafael Jiménez-Flores
Keyword(s):  
Microbial Diversity ◽  
Microbial Ecology ◽  
Illumina Miseq ◽  
Human Consumption ◽  
Fish Waste ◽  
Alpha And Beta Diversity ◽  
Analysis And Evaluation ◽  
Dynamic Variations ◽  
Acid Whey ◽  
By Products

The disposal of acid whey (Aw), a by-product from fermented products, is a problem for the dairy industry. The fishery industry faces a similar dilemma, disposing of nearly 50% of fish processed for human consumption. Economically feasible and science-based alternatives are needed to overcome this problem. One possible solution is to add value to the remaining nutrients from these by-products. This study focuses on the breakdown of nutrients in controlled fermentations of Aw, fish waste (F), molasses (M), and a lactic acid bacteria (LAB) strain (Lr). The aim was to assess the dynamic variations in microbial diversity and the biochemical changes that occur during fermentation. Four treatments were compared (AwF, AwFM, AwFLr, and AwFMLr), and the fermentation lasted 14 days at 22.5 °C. Samples were taken every other day. Colorimetric tests for peptide concentrations, pH, and microbial ecology by 16S-v4 rRNA amplicon using Illumina MiSeq were conducted. The results of the microbial ecology showed elevated levels of alpha and beta diversity in the samples at day zero. By day 2 of fermentation, pH dropped, and the availability of a different set of nutrients was reflected in the microbial diversity. The fermentation started to stabilize and was driven by the Firmicutes phylum, which dominated the microbial community by day 14. Moreover, there was a significant increase (3.6 times) in peptides when comparing day 0 with day 14, making this treatment practical and feasible for protein hydrolysis. This study valorizes two nutrient-dense by-products and provides an alternative to the current handling of these materials.

scholarly journals Effect of Bovine MFGM and LF in Infant Formula on Gut Microbiome and Metabolome at Four Months of Age

2021 ◽  
Author(s):  
Maciej Chichlowski ◽  
Nicholas Bokulich ◽  
Cheryl L Harris ◽  
Jennifer L Wampler ◽  
Fei Li ◽  
...  
Keyword(s):  
Infant Formula ◽  
Beta Diversity ◽  
Milk Fat ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Term Infants ◽  
Linear Discriminant ◽  
Alpha And Beta Diversity ◽  
Metabolite Profiles

Abstract Background Milk fat globule membrane (MFGM) and lactoferrin (LF) are human milk bioactive components demonstrated to support gastrointestinal (GI) and immune development. Significantly fewer diarrhea and respiratory-associated adverse events through 18 months of age were previously reported in healthy term infants fed a cow's milk-based infant formula with added source of bovine MFGM and bovine LF through 12 months of age. Objectives To compare microbiota and metabolite profiles in a subset of study participants. Methods Stool samples were collected at Baseline (10–14 days of age) and Day 120 (MFGM + LF: 26, Control: 33). Bacterial community profiling was performed via16S rRNA gene sequencing (Illumina MiSeq) and alpha and beta diversity were analyzed (QIIME 2). Differentially abundant taxa were determined using Linear discriminant analysis effect size (LefSE) and visualized (Metacoder). Untargeted stool metabolites were analyzed (HPLC/mass spectroscopy) and expressed as the fold-change between group means (Control: MFGM + LF ratio). Results Alpha diversity increased significantly in both groups from baseline to 4 months. Subtle group differences in beta diversity were demonstrated at 4 months (Jaccard distance; R2 = 0.01, P = 0.042). Specifically, Bacteroides uniformis and Bacteroides plebeius were more abundant in the MFGM + LF group at 4 months. Metabolite profile differences for MFGM + LF vs Control included: lower fecal medium chain fatty acids, deoxycarnitine, and glycochenodeoxycholate, and some higher fecal carbohydrates and steroids (P < 0.05). After applying multiple test correction, the differences in stool metabolomics were not significant. Conclusions Addition of bovine MFGM and LF in infant formula was associated with subtle differences in stool microbiome and metabolome by four months of age, including increased prevalence of Bacteroides species. Stool metabolite profiles may be consistent with altered microbial metabolism. Trial registration:  https://clinicaltrials.gov/ct2/show/NCT02274883).

scholarly journals The Fecal Bacterial Microbiota in Horses with Equine Recurrent Uveitis

Animals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 745
Author(s):  
Michelle Martin de Bustamante ◽  
Diego Gomez ◽  
Jennifer MacNicol ◽  
Ralph Hamor ◽  
Caryn Plummer
Keyword(s):  
Beta Diversity ◽  
High Throughput Sequencing ◽  
Illumina Miseq ◽  
Diversity Indices ◽  
Rrna Gene ◽  
Linear Discriminant ◽  
Alpha And Beta Diversity ◽  
Bacterial Microbiota ◽  
Healthy Control ◽  
Equine Recurrent Uveitis

The objective of this study was to describe and compare the fecal bacterial microbiota of horses with equine recurrent uveitis (ERU) and healthy horses using next-generation sequencing techniques. Fecal samples were collected from 15 client-owned horses previously diagnosed with ERU on complete ophthalmic examination. For each fecal sample obtained from a horse with ERU, a sample was collected from an environmentally matched healthy control with no evidence of ocular disease. The Illumina MiSeq sequencer was used for high-throughput sequencing of the V4 region of the 16S rRNA gene. The relative abundance of predominant taxa, and alpha and beta diversity indices were calculated and compared between groups. The phyla Firmicutes, Bacteroidetes, Verrucomicrobia, and Proteobacteria predominated in both ERU and control horses, accounting for greater than 60% of sequences. Based on linear discriminant analysis effect size (LEfSe), no taxa were found to be enriched in either group. No significant differences were observed in alpha and beta diversity indices between groups (p > 0.05 for all tests). Equine recurrent uveitis is not associated with alteration of the gastrointestinal bacterial microbiota when compared with healthy controls.

scholarly journals Prospective evaluation of the fecal microbiome in dogs with large-cell lymphoma receiving chop chemotherapy

2021 ◽  
Author(s):  
◽  
Jason Couto
Keyword(s):  
Microbial Diversity ◽  
Beta Diversity ◽  
Large Cell ◽  
Amplicon Sequencing ◽  
Healthy Controls ◽  
Chop Chemotherapy ◽  
Fecal Samples ◽  
Fecal Microbiome ◽  
Alpha And Beta Diversity ◽  
Healthy Dogs

The fecal microbiome composition has been associated with reduced efficacy of cancer therapy and adverse side effects in humans, and chemotherapy has been shown to alter the gut microbiome. The relationship between microbiota and chemotherapy efficacy and tolerability has not been investigated in dogs. We aimed to evaluate changes in fecal microbial diversity during a cycle of CHOP chemotherapy in dogs with lymphoma and whether these changes correlated with adverse events or treatment response. Eighteen dogs with lymphoma were prospectively enrolled, and stool samples were acquired weekly for 6 weeks during CHOP. Fecal samples was analyzed via 16S rRNA amplicon sequencing as previously described. Treatment-associated differences in richness, alpha and beta diversity were determined through comparison to data from healthy controls (n = 26) using factorial ANOVA and PERMANOVA. Dogs with lymphoma had decreased fecal microbial diversity when compared with healthy controls at baseline and throughout treatment (p= 0.0002, 0.0003, 0.0001). Alpha and beta diversity did not significantly change in dogs throughout a cycle of CHOP chemotherapy (p = 0.520 and 0.995). Samples pre-treated with antibiotics were significantly less diverse (alpha and beta diversity) than untreated samples (p = 0.002, 0.0001 respectively). Dogs with lymphoma and fecal samples under the presence of antibiotics had higher levels of Escherchia species in their feces compared to normal dogs. The fecal microbiome of healthy dogs and dogs with lymphoma receiving CHOP is relatively stable over time, but dogs with lymphoma have reduced microbial diversity compared to healthy dogs before and during treatment. An increase in Proteobacteria abundance during treatment may be related to chemotherapy and/or antibiotic use.

Hazard and mode of action of disinfection by-products (DBPs) in water for human consumption: Evidences and research priorities

2019 ◽  
Vol 223 ◽  
pp. 53-61 ◽  
Author(s):  
Raquel S. Chaves ◽  
Catarina S. Guerreiro ◽  
Vítor V. Cardoso ◽  
Maria J. Benoliel ◽  
Miguel M. Santos
Keyword(s):  
Mode Of Action ◽  
Research Priorities ◽  
Human Consumption ◽  
By Products

scholarly journals An Overview of Bioinformatics Tools for DNA Meta-Barcoding Analysis of Microbial Communities of Bioaerosols: Digest for Microbiologists

Life ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 185
Author(s):  
Hamza Mbareche ◽  
Nathan Dumont-Leblond ◽  
Guillaume J. Bilodeau ◽  
Caroline Duchaine
Keyword(s):  
Microbial Communities ◽  
Microbial Ecology ◽  
Statistical Tests ◽  
Repeated Measurements ◽  
Microbial Composition ◽  
Alpha And Beta Diversity ◽  
Bioinformatic Tools ◽  
Bioinformatics Tools ◽  
Wide Range ◽  
Guided Tour

High-throughput DNA sequencing (HTS) has changed our understanding of the microbial composition present in a wide range of environments. Applying HTS methods to air samples from different environments allows the identification and quantification (relative abundance) of the microorganisms present and gives a better understanding of human exposure to indoor and outdoor bioaerosols. To make full use of the avalanche of information made available by these sequences, repeated measurements must be taken, community composition described, error estimates made, correlations of microbiota with covariates (variables) must be examined, and increasingly sophisticated statistical tests must be conducted, all by using bioinformatics tools. Knowing which analysis to conduct and which tools to apply remains confusing for bioaerosol scientists, as a litany of tools and data resources are now available for characterizing microbial communities. The goal of this review paper is to offer a guided tour through the bioinformatics tools that are useful in studying the microbial ecology of bioaerosols. This work explains microbial ecology features like alpha and beta diversity, multivariate analyses, differential abundances, taxonomic analyses, visualization tools and statistical tests using bioinformatics tools for bioaerosol scientists new to the field. It illustrates and promotes the use of selected bioinformatic tools in the study of bioaerosols and serves as a good source for learning the “dos and don’ts” involved in conducting a precise microbial ecology study.

scholarly journals PSVI-16 Fecal microbiome of nursery pigs fed phytogenics and antibiotics

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 203-203
Author(s):  
Huyen Tran ◽  
Timothy J Johnson
Keyword(s):  
Beta Diversity ◽  
Sequence Data ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Amplicon Sequencing ◽  
Fecal Microbiome ◽  
Nursery Pigs ◽  
Alpha And Beta Diversity ◽  
Family Level ◽  
Dietary Treatments

Abstract The objective of this study was to evaluate effects of feeding two phytogenic products (PHY1 and PHY2; blends of essential oils and plant extracts) in diets with or without antibiotics (AureoMix S 10-10; AB) on fecal microbiome of nursery pigs. A total of 400 nursery pigs (6.8 kg BW; 20 d of age) were fed one of the six dietary treatments (9 pens/treatment), including: control (0% AB; 0% phytogenics), 0.5% AB, phytogenics (0.02% PHY1 or 0.03% PHY2) or the combination of phytogenic and AB (PHY1 x AB or PHY2 x AB). On d 46 postweaning, 48 fecal samples were collected (1 pig/pen; 7–9 pigs/treatment) and were subjected to the analyses of microbial communities by using 16S rRNA V4 amplicon sequencing with Illumina MiSeq. The sequence data were analyzed by using Qiime and the rarefied OTU table was submitted to Calypso to evaluate the alpha and beta diversity, taxonomic classification, and the differential taxa associated to the dietary treatments. There were differences among treatments on alpha diversity, where the control and PHY2 pigs had lower OTU richness (P = 0.05) and chao1 index (P < 0.10) compared to pigs fed AB alone or AB with phytogenics. There were also differences among treatments on microbial beta diversity of pigs (P < 0.01). The most abundant phyla included Firmicute, Bacteroidetes, Actinobacteria, Tenericutes, Proteobacteria, Spirochaetes, and TM7. At family level, pigs fed AB had greater Ruminococcaceae compared to the control, but lower Coriobacteriaceae and Erysipelotrichaceae compared to PHY1 or PHY2 group (P < 0.05). Feature selection by LEfSe indicated that dominant genus associated to AB treatment was Unclassified RF39, while dominant genera associated to PHY2 treatment were Cantenibacterium, unclassified Coriobacteriaceae, Blautia, Eubacterium, and Collinsella. In conclusion, feeding AB and phytogenic products had different impacts on the fecal bacteria of nursery pigs.

scholarly journals Early life home microbiome and hyperactivity/inattention in school-age children

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Lidia Casas ◽  
Anne M. Karvonen ◽  
Pirkka V. Kirjavainen ◽  
Martin Täubel ◽  
Heidi Hyytiäinen ◽  
...  
Keyword(s):  
Microbial Diversity ◽  
Early Life ◽  
Fungal Diversity ◽  
Illumina Miseq ◽  
Shannon Index ◽  
School Age Children ◽  
Sequencing Data ◽  
Logistic Regression Models ◽  
Diversity Measures ◽  
Early Life Exposure

AbstractThis study evaluates the association between indoor microbial diversity early in life and hyperactivity/inattention symptoms in children at ages 10 and 15 years.A random sample enriched with subjects with hyperactivity/inattention at age 15 years was selected from the German LISA birth cohort. Bedroom floor dust was collected at age 3 months and 4 bacterial and fungal diversity measures [number of observed operational taxonomic units (OTUs), Chao1, Shannon and Simpson indices] were calculated from Illumina MiSeq sequencing data. Hyperactivity/inattention was based on the Strengths and Difficulties Questionnaire at ages 10 and 15 (cut-off ≥7). Adjusted associations between 4 diversity measures in tertiles and hyperactivity/inattention were investigated with weighted and survey logistic regression models. We included 226 individuals with information on microbial diversity and hyperactivity/inattention. Early life bacterial diversity was inversely associated with hyperactivity/inattention at age 10 [bacterial OTUs (medium vs low: aOR = 0.4, 95%CI = (0.2–0.8)) and Chao1 (medium vs low: 0.3 (0.1–0.5); high vs low: 0.3 (0.2–0.6)], whereas fungal diversity was directly associated [Chao1 (high vs low: 2.1 (1.1–4.0)), Shannon (medium vs low: 2.8 (1.3–5.8)), and Simpson (medium vs low: 4.7 (2.4–9.3))]. At age 15, only Shannon index was significantly associated with hyperactivity/inattention [bacteria (medium vs low: 2.3 (1.2–4.2); fungi (high vs low: 0.5 (0.3–0.9))]. In conclusion, early life exposure to microbial diversity may play a role in the psychobehavioural development. We observe heterogeneity in the direction of the associations encouraging further longitudinal studies to deepen our understanding of the characteristics of the microbial community underlying the observed associations.

Use of vegetable and arable by-products

1980 ◽  
Vol 3 ◽  
pp. 33-43
Author(s):  
G. H. Francis
Keyword(s):  
United Kingdom ◽  
Sugar Beet ◽  
Human Consumption ◽  
England And Wales ◽  
The United Kingdom ◽  
Production And Distribution ◽  
The Uk ◽  
Market Pressures ◽  
By Products

In Agricultral Statistics, United Kingdom, 1974, the area of land devoted to vegetables grown in the open for human consumption is given as 187 500 ha. This amounted to some 4% of the tillage land in the UK, and along with similar areas of sugar beet and maincrop potatoes would appear to offer significant scope for the utilization of associated by-products as feed for livestock. The range of such crops produced in the UK is quite wide, but climatic and market pressures will influence actual cropping from year to year. Relevant details for the United Kingdom are set out in Table 1, and it will be seen that in 1974 England and Wales accounted for 95, 78 and 100%, respectively, of the areas of outdoor vegetables, maincrop potatoes and sugar beet grown in the UK. In the following, therefore, the discussion will be concentrated on the problems of production and distribution of vegetable and arable by-products. Similar problems of distribution will no doubt occur in other countries as well.

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