scholarly journals 83 Lifelong dynamics of the swine gut microbiome: from birth to market

2019 ◽  
Vol 97 (Supplement_2) ◽  
pp. 48-48
Author(s):  
Xiaofan Wang ◽  
Tsung Cheng Tsai ◽  
Charles V Maxwell ◽  
Jiangchao Zhao
Keyword(s):  
Growth Performance ◽  
Gut Microbiome ◽  
Community Dynamics ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Shannon Index ◽  
Growth Stages ◽  
Rrna Gene ◽  
16 S Rrna

Abstract Despite the recent advances in the swine gut microbiomes during different growth stages, a comprehensive longitudinal study of the lifelong dynamics of the swine gut microbiome is lacking. To fill this gap of knowledge, we selected seventeen piglets (PIC29*380) that were born on the same date from three sows. We collected a total of 274 rectal swabs during lactation (d 0, 11, 20), nursery (d 27, 33, 41, 50, 61), growing (d 76, 90, 104, 116), and finishing (d 130, 146, 159, and 174) stages. Samples were extracted using the Powersoil DNA isolation kit (Qiagen, Hilden, Germany) and sequenced with an Illumina Miseq sequencer targeting the V4 region of the 16 S rRNA gene. Sequences were analyzed with the Deblur algorithm in the QIIME2 package. In general, alpha diversity including community richness (e.g., number of observed features, Chao1) and diversity (e.g., Shannon Index) showed an overall trend of increasing from lactation to the finishing stage (P < 0.01). Gradual and significant changes in community structures were also observed along the four growth stages (ANOSIM, R = 0.66; P < 0.01). Non-parametric permutational multivariate analysis of variance shows that main factors driving the lifelong community dynamics included age and diet. Seventeen phylum members were discovered in the lifelong pig gut microbiome with Firmicutes and Bacteroidetes being the most abundant phyla. LEfSe analysis revealed 63 bacterial features that are stage specific. By using a regressing tree based Random Forest model we identified five bacterial features that are associated with swine growth performance including features 26 (Turicibacteraceae Turicibacter), 27 (Clostridium butyricum), 18 (Clostridiaceae), 19 (Clostridium perfringens) and 4 (Clostridiaceae). Characterization of the lifelong dynamics of 17 healthy pigs from birth to market provides a foundation for gut microbiome studies focusing on swine development, health and growth performance.

scholarly journals Gut microbiome composition in the Hispanic Community Health Study/Study of Latinos is shaped by geographic relocation, environmental factors, and obesity

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Robert C. Kaplan ◽  
Zheng Wang ◽  
Mykhaylo Usyk ◽  
Daniela Sotres-Alvarez ◽  
Martha L. Daviglus ◽  
...  
Keyword(s):  
Community Health ◽  
Gut Microbiome ◽  
Alpha Diversity ◽  
Amplicon Sequencing ◽  
Shannon Index ◽  
Health Study ◽  
Rrna Gene ◽  
Cross Sectional ◽  
Hispanic Community ◽  
The Usa

Abstract Background Hispanics living in the USA may have unrecognized potential birthplace and lifestyle influences on the gut microbiome. We report a cross-sectional analysis of 1674 participants from four centers of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), aged 18 to 74 years old at recruitment. Results Amplicon sequencing of 16S rRNA gene V4 and fungal ITS1 fragments from self-collected stool samples indicate that the host microbiome is determined by sociodemographic and migration-related variables. Those who relocate from Latin America to the USA at an early age have reductions in Prevotella to Bacteroides ratios that persist across the life course. Shannon index of alpha diversity in fungi and bacteria is low in those who relocate to the USA in early life. In contrast, those who relocate to the USA during adulthood, over 45 years old, have high bacterial and fungal diversity and high Prevotella to Bacteroides ratios, compared to USA-born and childhood arrivals. Low bacterial diversity is associated in turn with obesity. Contrasting with prior studies, our study of the Latino population shows increasing Prevotella to Bacteroides ratio with greater obesity. Taxa within Acidaminococcus, Megasphaera, Ruminococcaceae, Coriobacteriaceae, Clostridiales, Christensenellaceae, YS2 (Cyanobacteria), and Victivallaceae are significantly associated with both obesity and earlier exposure to the USA, while Oscillospira and Anaerotruncus show paradoxical associations with both obesity and late-life introduction to the USA. Conclusions Our analysis of the gut microbiome of Latinos demonstrates unique features that might be responsible for health disparities affecting Hispanics living in the USA.

scholarly journals PSII-24 Towards a better understanding of the gut microbiome functions in the swine production: extensive cultivation of the swine gut microbiome from different growth stages

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 242-243
Author(s):  
Xiaofan Wang ◽  
Xiaoyuan Wei ◽  
Feilong Deng ◽  
Tsungcheng Tsai ◽  
Charles V Maxwell ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Pathogenic Bacteria ◽  
Illumina Miseq ◽  
Positive Control ◽  
Growth Stages ◽  
Rrna Gene ◽  
Swine Production ◽  
Fecal Samples ◽  
Different Growth Stages

Abstract Substantial progress has been made in the culture-omics of the human gut microbiota. However, little is known about the culture-omics of the swine gut microbiota, despite recent reports of their significant roles in swine health and production. To fill this knowledge gap in research, we tested 52 bacterial cultivation methods with different media and gas combinations. Fresh fecal samples (0.2g/sample) were collected from three pigs at the end of four growth stages: lactation, nursery, growing and finishing and were mixed with a stomacher in 20 mL saline. Aliquots of 50 uL microbial suspensions were then spread onto different media plates and incubated under aerobic and anaerobic conditions at 37C for up to 5 days. An additional aliquot of each sample was subjected to direct DNA extraction as a positive control. Bacterial colonies from each plate were collected and DNA was extracted from these samples using the Powersoil DNA isolation kit and sequenced with an Illumina Miseq sequencer targeting the V4 region of the 16S rRNA gene. Sequences were analyzed with the Deblur algorithm in the QIIME2 package. A total of 378, 482, 565, and 555 bacterial features were observed from microbial solutions at the end of lactation, nursery, growing and finishing. Our culturing methods recovered 415, 675, 808, and 823 features correspondingly, representing 45.2%, 54.8%, 53.3%, and 56.4% of total features observed in microbial solutions. The top ten most easily cultured genus were Escherichia, Streptococcus, Lactobacillus, Megasphaera, Acidaminococcus, Bacillus, Mitsuokella, Enterococcus and Prevotella. Non-parametric permutational multivariate analysis of variance shows that the main factors driving the swine culture-omics included medium, age and oxygen condition. This study identifies the cultivable bacteria from fecal samples collected at different growth stages of pigs and provides a guidance to cultivate potential beneficial or pathogenic bacteria of interests and validate their functions in swine production.

scholarly journals Resident microbes of lactation rooms and daycares

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8168
Author(s):  
Diana H. Taft ◽  
Samir Akre ◽  
Nicolas Madrid ◽  
Andre Knoesen ◽  
David A. Mills ◽  
...  
Keyword(s):  
Beta Diversity ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Shannon Index ◽  
Rrna Gene ◽  
Sample Collection ◽  
Unifrac Distance ◽  
Modern Development ◽  
Temperature And Humidity ◽  
The Impact

Dedicated lactation rooms are a modern development as mothers return to work while still providing breastmilk to their absent infants. This study describes the built environment microbiome of lactation rooms and daycares, and explores the influence of temperature and humidity on the microbiome of lactation rooms. Sterile swabs were used to collect samples from five different sites in lactation rooms at University of California, Davis and from five different sites in daycares located in Davis, California. DNA from the swabs was extracted and the V4 region of the 16S rRNA gene was sequenced using Illumina MiSeq. Temperature and relative humidity data were collected on a subset of the lactation rooms. Sampled lactation rooms could be either dedicated lactation rooms or could also serve other functions (e.g., combined lactation room and restroom lounge). The majority of sequence reads were identified as belonging to family Moraxellaceae, with 73% of all reads included in analysis identified as an unknown species of Acinetobacter. Alpha diversity was analyzed using the Shannon index, while beta diversity was analyzed using unweighted and weighted UniFrac distance. The Jaccard distance was used to measure amount of change at sampling locations between time points for analysis of the impact of temperature and humidity on the microbiome. There were significant differences in the beta diversity of the microbiome of lactation rooms by room type. There were also significant differences in the beta diversity of the microbiome by sample collection location. There were no significant differences in either alpha or beta diversity associated with room temperature or humidity. Additional studies are needed to understand if the differences in lactation room type may result in differences in the breastmilk microbiome of milk collected in those rooms, and to what extent any such differences may influence the infant microbiome.

Microbial Diversity in Tobacco Rhizosphere Soil at Different Growth Stages

2021 ◽  
Vol 15 (5) ◽  
pp. 606-614
Author(s):  
Yanan Ruan ◽  
Shengguang Xu ◽  
Zuoxin Tang ◽  
Xiaolin Liu ◽  
Qirui Zhang ◽  
...  
Keyword(s):  
Bacterial Community ◽  
Microbial Diversity ◽  
Rhizosphere Soil ◽  
Principal Component ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Shannon Index ◽  
Growth Stages ◽  
Soil Microbial Diversity ◽  
Different Growth Stages

Rhizosphere microorganisms are the main participants of material transformation and energy cycle in soil. To further explore its composition and variation, the tobacco rhizosphere soil were sequenced by Illumina MiSeq, the microbial community at different growth stages were analyzed and compared. The analysis of Alpha diversity showed that, the Chao1 index, Shannon index of bacteria and Chao1 index of fungi in rhizosphere soil were the highest in tobacco budding stage, while the peak of Shannon index of fungi appeared in tobacco material stage. Principal component analysis (PCA) further showed that at different growth stages, Proteobacteria was the dominant, followed by Actinobacteria, Acidobacteria and Gemmatimonadetes for bacterials; Ascomycota was the dominant, followed by Zygomycota and Basidiomycota for fungi. Under field conditions, the microbial abundance changed with the growth of tobacco, and the microbial diversity reached the peak at budding stage. The bacterial community and abundance between budding and mature stages was highly similar, while the bacterial community in vigorous growth stage is quite different. The similarity of fungal community in budding stage was very low, compared with the other stages; while in other stages was high. This study provides a theoretical basis for further understanding the relationship between tobacco rhizosphere soil microbial diversity and variation, tobacco growth and soil diseases.

Long-term Association between Diet Quality and Characteristics of the Gut Microbiome in the Multiethnic Cohort Study

2021 ◽  
pp. 1-29
Author(s):  
Erica Ma ◽  
Gertraud Maskarinec ◽  
Unhee Lim ◽  
Carol J. Boushey ◽  
Lynne R. Wilkens ◽  
...  
Keyword(s):  
Diet Quality ◽  
Gut Microbiome ◽  
Alpha Diversity ◽  
Healthy Eating Index ◽  
Shannon Index ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Multiethnic Cohort

Abstract As past usual diet quality may affect gut microbiome (GM) composition, we examined the association of the Healthy Eating Index (HEI)-2015 assessed 21 and 9 years before stool collection with measures of fecal microbial composition in a subset of the Multiethnic Cohort. A total of 5,936 participants completed a validated quantitative food frequency questionnaire (QFFQ) at cohort entry (Q1, 1993-96), 5,280 at follow-up (Q3, 2003-08), and 1,685 also at a second follow-up (Adiposity Phenotype Study (APS), 2013–16). All participants provided a stool sample in 2013-2016. Fecal microbial composition was obtained from 16S rRNA gene sequencing (V1-V3 region). HEI-2015 scores were computed based on each QFFQ. Using linear regression adjusted for relevant covariates, we calculated associations of HEI-2015 scores with gut microbial diversity and 152 individual genera. The mean HEI-2015 scores increased from Q1 (67±10) to Q3 (71±11) and APS (72±10). Alpha diversity assessed by the Shannon Index was significantly higher with increasing tertiles of HEI-2015. Of the 152 bacterial genera tested, seven (Anaerostipes, Coprococcus_2, Eubacterium eligens, Lachnospira, Lachnospiraceae_ND3007, Ruminococcaceae_UCG-013, and Ruminococcus_1) were positively and five (Collinsella, Parabacteroides, Ruminiclostridium_5, Ruminococcus gnavus, and Tyzzerella) were inversely associated with HEI-2015 assessed in Q1, Q3, and APS. The estimates of change per unit of the HEI-2015 score associated with the abundance of these 12 genera were consistent across the three questionnaires. The quality of past diet, assessed as far as ˜20 years before stool collection, is equally predictive of GM composition as concurrently assessed diet, indicative of the long-term consistency of this relation.

scholarly journals Gut Microbiome in a Russian Cohort of Pre- and Post-Cholecystectomy Female Patients

2021 ◽  
Vol 11 (4) ◽  
pp. 294
Author(s):  
Irina Grigor’eva ◽  
Tatiana Romanova ◽  
Natalia Naumova ◽  
Tatiana Alikina ◽  
Alexey Kuznetsov ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Relative Abundance ◽  
Gut Microbiome ◽  
Gallstone Disease ◽  
Illumina Miseq ◽  
Rrna Gene ◽  
Bacterial Phyla ◽  
Female Patients ◽  
Composition And Structure ◽  
Before And After

The last decade saw extensive studies of the human gut microbiome and its relationship to specific diseases, including gallstone disease (GSD). The information about the gut microbiome in GSD-afflicted Russian patients is scarce, despite the increasing GSD incidence worldwide. Although the gut microbiota was described in some GSD cohorts, little is known regarding the gut microbiome before and after cholecystectomy (CCE). By using Illumina MiSeq sequencing of 16S rRNA gene amplicons, we inventoried the fecal bacteriobiome composition and structure in GSD-afflicted females, seeking to reveal associations with age, BMI and some blood biochemistry. Overall, 11 bacterial phyla were identified, containing 916 operational taxonomic units (OTUs). The fecal bacteriobiome was dominated by Firmicutes (66% relative abundance), followed by Bacteroidetes (19%), Actinobacteria (8%) and Proteobacteria (4%) phyla. Most (97%) of the OTUs were minor or rare species with ≤1% relative abundance. Prevotella and Enterocossus were linked to blood bilirubin. Some taxa had differential pre- and post-CCE abundance, despite the very short time (1–3 days) elapsed after CCE. The detailed description of the bacteriobiome in pre-CCE female patients suggests bacterial foci for further research to elucidate the gut microbiota and GSD relationship and has potentially important biological and medical implications regarding gut bacteria involvement in the increased GSD incidence rate in females.

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 &lt; 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 Effects of Psychotropics on the Microbiome in Patients With Depression and Anxiety: Considerations in a Naturalistic Clinical Setting

2020 ◽  
Author(s):  
Yoshihiro Tomizawa ◽  
Shunya Kurokawa ◽  
Daiki Ishii ◽  
Katsuma Miyaho ◽  
Chiharu Ishii ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Microbial Diversity ◽  
Depressive Disorders ◽  
Alpha Diversity ◽  
16S Rrna Gene Sequencing ◽  
Shannon Index ◽  
Rrna Gene ◽  
Depression And Anxiety ◽  
The Impact ◽  
Whole Tree

Abstract Background The antibacterial effects of psychotropics may be part of their pharmacological effects when treating depression. However, limited studies have focused on gut microbiota in relation to prescribed medication. Method We longitudinally investigated the relationship between patients’ prescribed medications and intestinal bacterial diversity in a naturalistic treatment course for patients with major depressive disorders and anxiety disorders. Patients were recruited and their stool was collected at 3 time points during their usual psychiatric treatments. Gut microbiota were analyzed using 16S rRNA gene sequencing. We examined the impact of psychotropics (i.e., antidepressants, anxiolytics, antipsychotics) on their gut microbial diversity and functions. Results We collected 246 stool samples from 40 patients. Despite no differences in microbial diversity between medication groups at the baseline, over the course of treatment, phylogenic diversity whole-tree diversity decreased in patients on antipsychotics compared with patients without (P = .027), and beta diversity followed this trend. Based on a fixed-effect model, antipsychotics predicted microbial diversity; the higher doses correlated with less diversity based on the Shannon index and phylogenic diversity whole tree (estimate = −0.00254, SE = 0.000595, P &lt; .0001; estimate = −0.02644, SE = 0.00833, P = .002, respectively). Conclusion Antipsychotics may play a role in decreasing the alpha diversity of the gut microbiome among patients with depression and anxiety, and our results indicate a relationship with medication dosage. Future studies are warranted and should consider patients’ types and doses of antipsychotics in order to further elucidate the mechanisms of gut-brain interactions in psychiatric disorders.

scholarly journals 408 Effect of monensin intake during a stocker phase and subsequent finishing phase on rumen bacterial diversity of beef steers

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 163-164
Author(s):  
Caleb P Weiss ◽  
Paul A Beck ◽  
John T Richeson ◽  
Dexter J Tomczak ◽  
Jianmin Chai ◽  
...  
Keyword(s):  
Bacterial Communities ◽  
Pennisetum Glaucum ◽  
Rumen Fluid ◽  
Hypervariable Region ◽  
Alpha Diversity ◽  
Illumina Miseq ◽  
Shannon Index ◽  
Beef Steers ◽  
Diet Change ◽  
Gluten Feed

Abstract Three monensin levels during a stocker phase (0, 800, 1600 g/ton fed in a free choice mineral) and two levels during finishing [0 (U) or 37.5 mg/kg diet DM (M)] were used to determine the effects of monensin supplementation during a stocker and subsequent finishing phase on rumen bacterial communities of beef steers. Thirty calves were fed pearl millet (Pennisetum glaucum) hay with soybean hull and corn gluten feed supplement (0.5% BW daily, AF basis) or grazed fall wheat pasture (Triticum aestivum) during a stocker phase and then transported 1,067 km to Canyon, TX, for finishing. Rumen fluid was collected on d 0, 28, and the end of the stocker phase (d 85). Samples were also obtained at feedlot d 0, 14, 28, 56, and immediately prior to a diet change to include a beta-adrenergic agonist and before shipping for harvest. Rumen microbiota were characterized by next generation sequencing the 16S v4 hypervariable region with the Illumina MiSeq platform. During the stocker phase, Prevotella and Bacteroidetes were the most dominant genus regardless of diet or treatment. Monensin decreased (P ≤ 0.01) alpha diversity (Shannon Index) for cattle consuming hay on d 28 of the stocker phase. In the feedlot, Prevotella, Lachnospiraceae, and Bacteroidetes were the most abundant genus. Steers that were previously on the 0 and 1600 treatments during the stocker phase and were fed monensin at the feedlot had decreased alpha diversity (P = 0.04) on feedlot d 14 compared to those that did not. Monensin at the feedlot tended to increase alpha diversity on d 28 for cattle previously on the 1600 treatment (P = 0.06), and on d 56 for cattle previously on the 0 treatment (P = 0.06). This experiment provides a better understanding of the effect of monensin on rumen bacterial communities throughout production.

scholarly journals Trichomes form genotype-specific microbial hotspots in the phyllosphere of tomato

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Peter Kusstatscher ◽  
Wisnu Adi Wicaksono ◽  
Alessandro Bergna ◽  
Tomislav Cernava ◽  
Nick Bergau ◽  
...  
Keyword(s):  
16S Rrna ◽  
16S Rrna Gene ◽  
Community Dynamics ◽  
Statistical Tests ◽  
Central Element ◽  
Shannon Index ◽  
Gene Copy ◽  
Rrna Gene ◽  
Core Microbiome ◽  
Defense Strategies

Abstract Background The plant phyllosphere is a well-studied habitat characterized by low nutrient availability and high community dynamics. In contrast, plant trichomes, known for their production of a large number of metabolites, are a yet unexplored habitat for microbes. We analyzed the phyllosphere as well as trichomes of two tomato genotypes (Solanum lycopersicum LA4024, S. habrochaites LA1777) by targeting bacterial 16S rRNA gene fragments. Results Leaves, leaves without trichomes, and trichomes alone harbored similar abundances of bacteria (108–109 16S rRNA gene copy numbers per gram of sample). In contrast, bacterial diversity was found significantly increased in trichome samples (Shannon index: 4.4 vs. 2.5). Moreover, the community composition was significantly different when assessed with beta diversity analysis and corresponding statistical tests. At the bacterial class level, Alphaproteobacteria (23.6%) were significantly increased, whereas Bacilli (8.6%) were decreased in trichomes. The bacterial family Sphingomonadacea (8.4%) was identified as the most prominent, trichome-specific feature; Burkholderiaceae and Actinobacteriaceae showed similar patterns. Moreover, Sphingomonas was identified as a central element in the core microbiome of trichome samples, while distinct low-abundant bacterial families including Hymenobacteraceae and Alicyclobacillaceae were exclusively found in trichome samples. Niche preferences were statistically significant for both genotypes and genotype-specific enrichments were further observed. Conclusion Our results provide first evidence of a highly specific trichome microbiome in tomato and show the importance of micro-niches for the structure of bacterial communities on leaves. These findings provide further clues for breeding, plant pathology and protection as well as so far unexplored natural pathogen defense strategies.

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