scholarly journals Faecal Microbiota of Dogs Offered a Vegetarian Diet with or without the Supplementation of Feather Meal and either Cornmeal, Rye or Fermented Rye: A Preliminary Study

2020 ◽  
Vol 8 (9) ◽  
pp. 1363
Author(s):  
Julia Hankel ◽  
Amr Abd El-Wahab ◽  
Richard Grone ◽  
Birgit Keller ◽  
Eric Galvez ◽  
...  
Keyword(s):  
Intestinal Microbiota ◽  
Hypervariable Region ◽  
Illumina Miseq ◽  
Vegetarian Diet ◽  
Rrna Gene ◽  
Feather Meal ◽  
Illumina Miseq Platform ◽  
Faecal Samples ◽  
Miseq Platform ◽  
Preliminary Study

Anthropomorphism of dogs has affected feeding and the choice of components present in diets for dogs. Conflicting trends are present: raw or vegetarian appear more prevalent. Animal-derived proteins seem to have unfavourable impacts on intestinal microflora by decreasing the presence of Bacteroidetes. This preliminary study evaluates whether effects of diets with animal proteins on intestinal microbiota can be compensated by the addition of certain carbohydrates to dog diet. Eight female beagles were included in a cross-over study and fed a vegetarian diet or the same diet supplemented with feather meal (2.7%) and either 20% of cornmeal, fermented or non-fermented rye (moisture content of the diets about 42%). A 16S rRNA gene amplification was performed within the hypervariable region V4 on faecal samples and sequenced with the Illumina MiSeq platform. The Firmicutes/Bacteroidetes ratio tended to shift to the advantage of Firmicutes when feather meal and cornmeal were added (Firmicutes/Bacteroidetes ratio of 5.12 compared to 2.47 when offered the vegetarian diet) and tended to switch back to the advantage of Bacteroidetes if rye: fermented (2.17) or not (1.03) was added. The addition of rye might have the potential to compensate possible unfavourable effects of diets with animal proteins on intestinal microbiota of dogs.

scholarly journals Intestinal Microbiota of Fattening Pigs Offered Non-Fermented and Fermented Liquid Feed with and without the Supplementation of Non-Fermented Coarse Cereals

2020 ◽  
Vol 8 (5) ◽  
pp. 638 ◽  
Author(s):  
Sebastian Bunte ◽  
Richard Grone ◽  
Birgit Keller ◽  
Christoph Keller ◽  
Eric Galvez ◽  
...  
Keyword(s):  
Hypervariable Region ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Bacterial Composition ◽  
Operational Taxonomic Units ◽  
Liquid Feed ◽  
Faecal Samples ◽  
Genus Lactobacillus ◽  
Miseq Platform ◽  
Small And Large Intestine

Introducing high numbers of lactic acid bacteria into the gastrointestinal tract of pigs via fermented liquid feed (FLF) could have an impact on intestinal bacterial ecosystems. Twenty piglets were allocated into four groups and fed a botanically identical liquid diet that was offered either non-fermented (twice), fully fermented or partially fermented but supplemented with 40% of non-fermented coarse cereals. Microbiota studies were performed on the small and large intestine digesta and faecal samples. A 16S rRNA gene amplification was performed within the hypervariable region V4 and sequenced with the Illumina MiSeq platform. R (version 3.5.2) was used for the statistical analyses. The digesta of the small intestines of pigs fed FLF were dominated by Lactobacillaceae (relative abundance up to 95%). In the colonic contents, the abundance of Lactobacillaceae was significantly higher only in the pigs fed the FLF supplemented with non-fermented coarse cereals. Additionally, the digesta of the small and large intestines as well as in the faeces of the pigs fed the FLF supplemented with non-fermented coarse cereals were significantly enriched for two operational taxonomic units (OTUs) belonging to the genus Lactobacillus and Bifidobacterium. The FLF supplemented with non-fermented coarse cereals had probiotic and prebiotic-like impacts on the intestinal and faecal bacterial composition of pigs.

scholarly journals Ultrahigh-Throughput Multiplexing and Sequencing of >500-Base-Pair Amplicon Regions on the Illumina HiSeq 2500 Platform

mSystems ◽  
2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Johanna B. Holm ◽  
Michael S. Humphrys ◽  
Courtney K. Robinson ◽  
Matthew L. Settles ◽  
Sandra Ott ◽  
...  
Keyword(s):  
High Throughput Sequencing ◽  
Sequence Data ◽  
Microbial Community Composition ◽  
Pcr Amplification ◽  
Illumina Miseq ◽  
Amplicon Sequencing ◽  
Rrna Gene ◽  
Illumina Hiseq ◽  
Illumina Miseq Platform ◽  
Miseq Platform

ABSTRACT Amplification, sequencing, and analysis of the 16S rRNA gene affords characterization of microbial community composition. As this tool has become more popular and amplicon-sequencing applications have grown in the total number of samples, growth in sample multiplexing is becoming necessary while maintaining high sequence quality and sequencing depth. Here, modifications to the Illumina HiSeq 2500 platform are described which produce greater multiplexing capabilities and 300-bp paired-end reads of higher quality than those produced by the current Illumina MiSeq platform. To improve the feasibility and flexibility of this method, a 2-step PCR amplification protocol is also described that allows for targeting of different amplicon regions, and enhances amplification success from samples with low bacterial bioburden. IMPORTANCE Amplicon sequencing has become a popular and widespread tool for surveying microbial communities. Lower overall costs associated with high-throughput sequencing have made it a widely adopted approach, especially for projects that necessitate sample multiplexing to eliminate batch effect and reduced time to acquire data. The method for amplicon sequencing on the Illumina HiSeq 2500 platform described here provides improved multiplexing capabilities while simultaneously producing greater quality sequence data and lower per-sample cost relative to those of the Illumina MiSeq platform without sacrificing amplicon length. To make this method more flexible for various amplicon-targeted regions as well as improve amplification from low-biomass samples, we also present and validate a 2-step PCR library preparation method.

Fecal microbiota of captive Antillean manatee Trichechus manatus manatus

2019 ◽  
Vol 366 (11) ◽  
Author(s):  
Akihiko Suzuki ◽  
Keiichi Ueda ◽  
Takao Segawa ◽  
Miwa Suzuki
Keyword(s):  
Intestinal Microbiota ◽  
Illumina Miseq ◽  
Fecal Microbiota ◽  
High Quality ◽  
Trichechus Manatus ◽  
Trichechus Manatus Latirostris ◽  
Bacterial Phyla ◽  
Illumina Miseq Platform ◽  
Miseq Platform ◽  
Antillean Manatees

ABSTRACTHerbivorous animals have unique intestinal microbiota that greatly helps with plant digestion in the host; however, knowledge on the microbiota of marine herbivores is limited. To better understand the taxonomy of intestinal microbiota in manatees, and the possible effects of captive conditions on that, we characterized the fecal microbiota of captive Antillean manatee Trichechus manatus manatus and compared the bacterial community with that of wild Florida manatees Trichechus manatus latirostris. Fecal samples were collected from four captive Antillean manatees in Ocean Expo Park, Okinawa, Japan. The high-quality sequences of the V3–V4 region of bacterial 16S rRNA obtained using an Illumina MiSeq platform were assigned to 16 bacterial phyla, and the most dominant was Firmicutes (84.05 ± 3.50%), followed by Bacteroidetes (8.60 ± 1.71%). Seven of the top 20 bacterial genera were responsible for hydrolyzing cellulose and metabolizing bile acid. The microbiota composition was remarkably different from that found in wild Florida manatees and more diverse than the composition in wild Florida manatees; hence, this result may be dependent on a captive environment. Our results highlight the unique intestinal microbiota in captive manatees, reflecting their diet and possibly an impact of the captive environment.

scholarly journals Ultra-high throughput multiplexing and sequencing of >500 bp amplicon regions on the Illumina HiSeq 2500 platform

2018 ◽  
Author(s):  
Johanna B. Holm ◽  
Michael S. Humphrys ◽  
Courtney K. Robinson ◽  
Matthew L. Settles ◽  
Sandra Ott ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Sequencing ◽  
Sequence Data ◽  
Microbial Community Composition ◽  
Illumina Miseq ◽  
Amplicon Sequencing ◽  
Rrna Gene ◽  
Illumina Hiseq ◽  
Illumina Miseq Platform ◽  
Miseq Platform

AbstractAmplification, sequencing and analysis of the 16S rRNA gene affords characterization of microbial community composition. As this tool has become more popular and amplicon-sequencing applications have grown in the total number of samples, growth in sample multiplexing is becoming necessary while maintaining high sequence quality and sequencing depth. Here, modifications to the Illumina HiSeq 2500 platform are described which produce greater multiplexing capabilities and 300 bp paired-end reads of higher quality than produced by the current Illumina MiSeq platform. To improve the feasibility and flexibility of this method, a 2-Step PCR amplification protocol is also described that allows for targeting of different amplicon regions, thus improving amplification success from low bacterial bioburden samples.ImportanceAmplicon sequencing has become a popular and widespread tool for surveying microbial communities. Lower overall costs associated with high throughput sequencing have made it a widely-adopted approach, especially for projects which necessitate sample multiplexing to eliminate batch effect and reduced time to acquire data. The method for amplicon sequencing on the Illumina HiSeq 2500 platform described here provides improved multiplexing capabilities while simultaneously producing greater quality sequence data and lower per sample cost relative to the Illumina MiSeq platform, without sacrificing amplicon length. To make this method more flexible to various amplicon targeted regions as well as improve amplification from low biomass samples, we also present and validate a 2-Step PCR library preparation method.

scholarly journals An improved dual-indexing approach for multiplexed 16S rRNA gene sequencing on the Illumina MiSeq platform

Microbiome ◽  
2014 ◽  
Vol 2 (1) ◽  
pp. 6 ◽  
Author(s):  
Douglas W Fadrosh ◽  
Bing Ma ◽  
Pawel Gajer ◽  
Naomi Sengamalay ◽  
Sandra Ott ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Gene Sequencing ◽  
16S Rrna Gene Sequencing ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Illumina Miseq Platform ◽  
Miseq Platform ◽  
Rrna Gene Sequencing

scholarly journals Uterine Microbiota Progression from Calving until Establishment of Metritis in Dairy Cows

2015 ◽  
Vol 81 (18) ◽  
pp. 6324-6332 ◽  
Author(s):  
Soo Jin Jeon ◽  
Achilles Vieira-Neto ◽  
Mohanathas Gobikrushanth ◽  
Rodolfo Daetz ◽  
Rodolfo D. Mingoti ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Metagenomic Sequencing ◽  
Heat Map ◽  
Content Type ◽  
Illumina Miseq Platform ◽  
Uterine Health ◽  
Miseq Platform ◽  
The 16S Rrna Gene

ABSTRACTThe objective of this study was to evaluate the progression of the uterine microbiota from calving until establishment of metritis. Uterine swabs (n= 72) collected at 0, 2, and 6 ± 2 days postpartum (dpp) from 12 metritic and 12 healthy cows were used for metagenomic sequencing of the 16S rRNA gene on the Illumina MiSeq platform. A heat map showed that uterine microbiota was established at calving. The microbiota changed rapidly from 0 to 6 ± 2 dpp, with a decrease in the abundance ofProteobacteriaand an increase in the abundance ofBacteroidetesandFusobacteria, which were dominant in metritic cows. Uterine microbiota composition was shared; however, metritic and healthy cows could be discriminated using relative abundance of bacterial genera at 0, 2, and 6 ± 2 dpp.Bacteroideswas the main genus associated with metritis because it was the only genus that showed significantly greater abundance in cows with metritis. As the abundance ofBacteroidesorganisms increased, the uterine discharge score, a measure of uterine health, worsened.Fusobacteriumwas also an important genus associated with metritis becauseFusobacteriumabundance increased asBacteroidesabundance increased and the uterine discharge score worsened as the abundance increased. The correlation with uterine discharge score and the correlation withBacteroidesorFusobacteriumshowed that other bacteria, such asHelcoccocus,Filifactor, andPorphyromonas, were also associated with metritis. There were also bacteria associated with uterine health, such as “CandidatusBlochmannia,”Escherichia,Sneathia, andPedobacter.

scholarly journals Dietary Supplementation with Inulin Modulates the Gut Microbiota and Improves Insulin Sensitivity in Prediabetes

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaojing Wang ◽  
Tong Wang ◽  
Qian Zhang ◽  
Li Xu ◽  
Xinhua Xiao
Keyword(s):  
Gut Microbiota ◽  
Intestinal Microbiota ◽  
Relative Abundance ◽  
Dietary Supplementation ◽  
Illumina Miseq ◽  
Metabolic Parameters ◽  
Rrna Gene ◽  
Beneficial Effects ◽  
Glucose And Lipid Metabolism ◽  
Miseq Platform

Aims. Accumulating evidence indicates gut microbiota dysbiosis is involved in metabolic disorders, including prediabetes. The prebiotic inulin has been frequently reported to exert beneficial effects on the host metabolism. Here, we aimed to evaluate whether dietary supplementation with inulin modulates gut microbiota structure in prediabetes, affecting glucose and lipid metabolism. Methods. We performed a prospective single-arm study. A total of 49 subjects with prediabetes (WHO 1999 criteria) were voluntarily enrolled. Each subject received a daily supplement with 15 g of inulin for 6 months. Glucose and lipid metabolic parameters and gut microbiota were analyzed at baseline and at 3 and 6 months after inulin intervention. Intestinal microbiota profile was evaluated using the Illumina MiSeq platform based on V3-V4 bacterial 16S rRNA gene. Results. The mean age of 49 subjects was 56.6 ± 6.9 years and BMI was 25.07 ± 3.02 kg/m2. After 24 weeks of prevention, inulin significantly decreased fasting insulin (2.38 ± 0.50 vs. 2.22 ± 0.62, P = 0.03 ) and 2-hour post-OGTT insulin (4.01 ± 0.77 vs. 3.74 ± 0.76, P = 0.02 ) and improved HOMA-IR (1.05 ± 0.53 vs. 0.85 ± 0.66, P = 0.03 ). Gut microbiota analysis indicated that inulin supplement resulted in an increase in the relative abundance of Actinobacteria, Bifidobacteriales, Bifidobacteriaceae, Lactobacillaceae, Bifidobacterium, Lactobacillus, and Anaerostipes both at 3 and 6 months, while with a decrease in the relative abundance of Alistipes. Spearman correlation analysis revealed altered microbial community was associated with glucose and lipids metabolic parameters. Conclusions. Inulin supplementation improves insulin resistance of prediabetes and exerts beneficial effects on modulating the intestinal microbiota composition. These findings suggest that insulin may be a potentially novel and inexpensive intervention for prediabetes.

scholarly journals PSIX-6 Gastrointestinal microbiome of calves fed solid diets containing different levels and sources of NDF

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 418-419
Author(s):  
Gercino F Virgínio Júnior ◽  
Milaine Poczynek ◽  
Ana Paula Silva ◽  
Ariany Toledo ◽  
Amanda Cezar ◽  
...  
Keyword(s):  
Illumina Miseq ◽  
Diversity Indices ◽  
Dairy Calves ◽  
Rrna Gene ◽  
Gastrointestinal Microbiome ◽  
Fecal Microbiome ◽  
Miseq Platform ◽  
Holstein Calves ◽  
Ad Libitum ◽  
Different Levels

Abstract Different levels and sources of NDF can modify the gastrointestinal microbiome. This study evaluated 18 Holstein calves housed in not-bedded suspended individual cages and fed one of three treatments: 22NDF - conventional starter containing 22% NDF (n = 7); 31NDF - starter with 31% NDF, replacing part of the corn by soybean hull (n = 6); and 22NDF+H - conventional starter with 22% NDF plus coast-cross hay ad libitum (n = 5). All animals received 4 L of milk replacer daily (24% CP; 18.5% fat; diluted to 12.5% solids), divided into two meals, being weaned at 8th week of age. After weaning, animals were housed in tropical shelters, fed with the respective solid diet and coast-cross hay ad libitum for all treatments. To evaluate the microbiome, ruminal fluid samples were collected using a modified Geishauser oral probe at weeks 2, 4, 6, 8 and 10, two hours after the morning feeding, and fecal samples were collected at birth (0) and at weeks 1, 2, 4, 8 and 10. The microbial community was determined by sequencing V3 and V4 region amplicons of the 16S rRNA gene that was amplified by PCR and sequenced by the Illumina MiSeq platform. Ruminal microbiome had no differences in diversity for the effects of weeks, treatments or interaction of both factors (Table 1). In feces, the diversity indices and evenness were higher for 22NDF+H when compared to 22NDF, with no difference for 31NDF. All indices were significantly affected by calves age. At birth, calves had the greatest diversity and richness. Week 1 and 2 had less evenness and diversity. Bacteroidota, Firmicutes_A and Firmicutes_C were the most abundant phylum in rumen and feces. The supply of hay was only effective in modifying the fecal microbiome of dairy calves, suggesting a resilience in the ruminal microbiome.

scholarly journals Detection and monitoring of insect traces in bioaerosols

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e10862
Author(s):  
Panyapon Pumkaeo ◽  
Junko Takahashi ◽  
Hitoshi Iwahashi
Keyword(s):  
Aerosol Particles ◽  
Illumina Miseq ◽  
Identification Accuracy ◽  
Insect Community ◽  
Cytochrome C Oxidase I ◽  
True Bugs ◽  
Illumina Miseq Platform ◽  
Miseq Platform ◽  
Pm2.5 And Pm10 ◽  
First Time

Studies on bioaerosols have primarily focused on their chemical and biological compositions and their impact on public health and the ecosystem. However, most bioaerosol studies have only focused on viruses, bacteria, fungi, and pollen. To assess the diversity and composition of airborne insect material in particulate matter (PM) for the first time, we attempted to detect DNA traces of insect origin in dust samples collected over a two-year period. These samples were systematically collected at one-month intervals and categorized into two groups, PM2.5 and PM10, based on the aerodynamic diameter of the aerosol particles. Cytochrome-c oxidase I (COI) was the barcoding region used to identify the origins of the extracted DNA. The airborne insect community in these samples was analyzed using the Illumina MiSeq platform. The most abundant insect sequences belonged to the order Hemiptera (true bugs), whereas order Diptera were also detected in both PM2.5 and PM10 samples. Additionally, we inferred the presence of particulates of insect origin, such as brochosomes and integument particles, using scanning electron microscopy (SEM). This provided additional confirmation of the molecular results. In this study, we demonstrated the benefits of detection and monitoring of insect information in bioaerosols for understanding the source and composition. Our results suggest that the PM2.5 and PM10 groups are rich in insect diversity. Lastly, the development of databases can improve the identification accuracy of the analytical results.

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