scholarly journals Murine Genetic Background Has a Stronger Impact on the Composition of the Gut Microbiota than Maternal Inoculation or Exposure to Unlike Exogenous Microbiota

2019 ◽  
Vol 85 (18) ◽  
Author(s):  
Hila Korach-Rechtman ◽  
Shay Freilich ◽  
Shiran Gerassy-Vainberg ◽  
Keren Buhnik-Rosenblau ◽  
Yael Danin-Poleg ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Inbred Lines ◽  
Mouse Genetics ◽  
Rrna Gene ◽  
Continuous Exposure ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Cross Model ◽  
Host Genetics ◽  
Reciprocal Hybrids

ABSTRACT The gut microbiota is a complex ecosystem, affected by both environmental factors and host genetics. Here, we aim at uncovering the bacterial taxa whose gut persistence is controlled by host genetic variation. We used a murine model based on inbred lines BALB/c and C57BL/6J and their F1 reciprocal hybrids (♀C57BL/6J × ♂BALB/c; ♀BALB/c × ♂C57BL/6J). To guarantee genetic similarity of F1 offspring, including the sex chromosomes, we used only female mice. Based on 16S rRNA gene sequencing, we found that the genetically different inbred lines present different microbiota, whereas their genetically identical F1 reciprocal hybrids presented similar microbiota. Moreover, the F1 microbial composition differed from that of both parental lines. Twelve taxa were shown to have genetically controlled gut persistence, while none were found to show maternal effects. Nine of these taxa were dominantly inherited by the C57BL/6J line. Cohousing of the parental inbred lines resulted in a temporary and minor shift in microbiota composition, which returned back to the former microbial composition following separation, indicating that each line tends to maintain a unique bacterial signature reflecting the line. Taken together, our findings indicate that mouse genetics has an effect on the microbial composition in the gut, which is greater than maternal effect and continuous exposure to different microbiota of the alternative line. Uncovering the bacterial taxa associated with host genetics and understanding their role in the gut ecosystem could lead to the development of genetically oriented probiotic products, as part of the personalized medicine approach. IMPORTANCE The gut microbiota play important roles for their host. The link between host genetics and their microbial composition has received increasing interest. Using a unique reciprocal cross model, generating genetically similar F1 hybrids with different maternal inoculation, we demonstrate the inheritance of gut persistence of 12 bacterial taxa. No taxa identified as maternally transmitted. Moreover, cohabitation of two genetically different inbred lines did not dramatically affect the microbiota composition. Taken together, our results demonstrate the importance of the genetic effect over maternal inoculation or effect of exposure to unlike exogenous microbiota. These findings may lead to the development of personalized probiotic products, specifically designed according to the genetic makeup.

scholarly journals Leveraging host-genetics and gut microbiota to determine immunocompetence in pigs

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Yuliaxis Ramayo-Caldas ◽  
Laura M. Zingaretti ◽  
David Pérez-Pascual ◽  
Pamela A. Alexandre ◽  
Antonio Reverter ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Association Studies ◽  
Host Genome ◽  
Phenotypic Variance ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Phagocytic Capacity ◽  
Host Genetics ◽  
Gut Microbiota Composition ◽  
Variance Explained

Abstract Background The gut microbiota influences host performance playing a relevant role in homeostasis and function of the immune system. The aim of the present work was to identify microbial signatures linked to immunity traits and to characterize the contribution of host-genome and gut microbiota to the immunocompetence in healthy pigs. Results To achieve this goal, we undertook a combination of network, mixed model and microbial-wide association studies (MWAS) for 21 immunity traits and the relative abundance of gut bacterial communities in 389 pigs genotyped for 70K SNPs. The heritability (h2; proportion of phenotypic variance explained by the host genetics) and microbiability (m2; proportion of variance explained by the microbial composition) showed similar values for most of the analyzed immunity traits, except for both IgM and IgG in plasma that was dominated by the host genetics, and the haptoglobin in serum which was the trait with larger m2 (0.275) compared to h2 (0.138). Results from the MWAS suggested a polymicrobial nature of the immunocompetence in pigs and revealed associations between pigs gut microbiota composition and 15 of the analyzed traits. The lymphocytes phagocytic capacity (quantified as mean fluorescence) and the total number of monocytes in blood were the traits associated with the largest number of taxa (6 taxa). Among the associations identified by MWAS, 30% were confirmed by an information theory network approach. The strongest confirmed associations were between Fibrobacter and phagocytic capacity of lymphocytes (r = 0.37), followed by correlations between Streptococcus and the percentage of phagocytic lymphocytes (r = -0.34) and between Megasphaera and serum concentration of haptoglobin (r = 0.26). In the interaction network, Streptococcus and percentage of phagocytic lymphocytes were the keystone bacterial and immune-trait, respectively. Conclusions Overall, our findings reveal an important connection between gut microbiota composition and immunity traits in pigs, and highlight the need to consider both sources of information, host genome and microbial levels, to accurately characterize immunocompetence in pigs.

scholarly journals Differences in Anxiety Levels of Various Murine Models in Relation to the Gut Microbiota Composition

Biomedicines ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. 113 ◽  
Author(s):  
Eunchong Huang ◽  
Shinwon Kang ◽  
Haryung Park ◽  
Soyoung Park ◽  
Yosep Ji ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Psychological Symptoms ◽  
Fecal Microbiota Transplantation ◽  
Fecal Microbiota ◽  
Anxiety Level ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Host Genetics ◽  
Probiotic Strains ◽  
Anxiety Levels

Psychobiotics are probiotic strains that confer mental health benefits to the host through the modulation of the gut microbial population. Mounting evidence shows that the gut microbiota play an important role in communication within the gut–brain axis. However, the relationship between the host genetics and the gut microbiota and their influence on anxiety are still not fully understood. Hence, in our research, we attempted to draw a connection between host genetics, microbiota composition, and anxiety by performing an elevated plus maze (EPM) test on four genetically different mice. Four different breeds of 5-week-old mice were used in this experiment: Balb/c, Orient C57BL/6N, Taconic C57BL/6N, and Taconic C57BL/6J. After 1 week of adaptation, their initial anxiety level was monitored using the EPM test via an EthoVision XT, a standardized software used for behavorial testing. Significant differences in the initial anxiety level and microbial composition were detected. Subsequently, the microbiota of each group was modulated by the administration of either a probiotic, fecal microbiota transplantation, or antibiotics. Changes were observed in host anxiety levels in correlation to the shift of the gut microbiota. Our results suggest that the microbiota, host genetics, and psychological symptoms are strongly related, yet the deeper mechanistic links need further exploration.

scholarly journals Hematopoietic Npc1 mutation shifts gut microbiota composition in Ldlr−/− mice on a high-fat, high-cholesterol diet

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Tom Houben ◽  
John Penders ◽  
Yvonne Oligschlaeger ◽  
Inês A. Magro dos Reis ◽  
Marc-Jan Bonder ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Gut Microbiota ◽  
High Cholesterol Diet ◽  
Microbiota Composition ◽  
High Cholesterol ◽  
High Fat ◽  
Microbial Composition ◽  
Host Genetics ◽  
Gut Microbiota Composition

Abstract While the link between diet-induced changes in gut microbiota and lipid metabolism in metabolic syndrome (MetS) has been established, the contribution of host genetics is rather unexplored. As several findings suggested a role for the lysosomal lipid transporter Niemann-Pick type C1 (NPC1) in macrophages during MetS, we here explored whether a hematopoietic Npc1 mutation, induced via bone marrow transplantation, influences gut microbiota composition in low-density lipoprotein receptor knockout (Ldlr−/−) mice fed a high-fat, high-cholesterol (HFC) diet for 12 weeks. Ldlr−/− mice fed a HFC diet mimic a human plasma lipoprotein profile and show features of MetS, providing a model to explore the role of host genetics on gut microbiota under MetS conditions. Fecal samples were used to profile the microbial composition by 16 s ribosomal RNA gene sequencing. The hematopoietic Npc1 mutation shifted the gut microbiota composition and increased microbial richness and diversity. Variations in plasma lipid levels correlated with microbial diversity and richness as well as with several bacterial genera. This study suggests that host genetic influences on lipid metabolism affect the gut microbiome under MetS conditions. Future research investigating the role of host genetics on gut microbiota might therefore lead to identification of diagnostic and therapeutic targets for MetS.

scholarly journals Individual and Group Response of Treatment with Ivacaftor on Airway and Gut Microbiota in People with CF and a S1251N Mutation

2021 ◽  
Vol 11 (5) ◽  
pp. 350
Author(s):  
Maartje I. Kristensen ◽  
Karin M. de Winter-de Groot ◽  
Gitte Berkers ◽  
Mei Ling J. N. Chu ◽  
Kayleigh Arp ◽  
...  
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Microbial Community Composition ◽  
Alpha Diversity ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Group Response ◽  
Lower Airways ◽  
Over Time

Ivacaftor has been shown to restore the functionality of the S1251N (also known as c.3752G>A) mutated CFTR, which may cause alterations in both airway and gut physiology and micro-environment, resulting in a change of microbiota in these organs. The aim of the present study was to analyze the effects of ivacaftor on the microbial community composition of both airway and gut in subjects with CF carrying one S1251N mutation, using a 16S rRNA gene-based sequencing approach. In 16 subjects with CF, repetitive samples from airways and gut were collected just before, and 2 months after, and, for 8 patients, also 9 and 12 months after, start of ivacaftor. 16S rRNA based sequencing identified 344 operational taxonomical units (OTUs) in a total of 139 samples (35 nasopharyngeal, 39 oropharyngeal, 29 sputum, and 36 fecal samples). Ivacaftor significantly enhanced bacterial diversity and overall microbiota composition in the gut (p < 0.01). There were no significant changes in the overall microbial composition and alpha diversity in upper and lower airways of these patients after ivacaftor treatment. Treatment with ivacaftor induces changes in gut microbiota whereas airway microbiota do not change significantly over time.

scholarly journals Diversity, Composition and Functional Inference of Gut Microbiota in Indian Cabbage white Pieris canidia (Lepidoptera: Pieridae)

Life ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 254
Author(s):  
Ying Wang ◽  
Jianqing Zhu ◽  
Jie Fang ◽  
Li Shen ◽  
Shuojia Ma ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
16S Rrna Gene Sequencing ◽  
Adult Survival ◽  
Rrna Gene ◽  
Life Stages ◽  
Microbial Composition ◽  
Significant Difference ◽  
Functional Inference ◽  
Rrna Gene Sequencing ◽  
Insect Fitness

We characterized the gut microbial composition and relative abundance of gut bacteria in the larvae and adults of Pieris canidia by 16S rRNA gene sequencing. The gut microbiota structure was similar across the life stages and sexes. The comparative functional analysis on P. canidia bacterial communities with PICRUSt showed the enrichment of several pathways including those for energy metabolism, immune system, digestive system, xenobiotics biodegradation, transport, cell growth and death. The parameters often used as a proxy of insect fitness (development time, pupation rate, emergence rate, adult survival rate and weight of 5th instars larvae) showed a significant difference between treatment group and untreated group and point to potential fitness advantages with the gut microbiomes in P. canidia. These data provide an overall view of the bacterial community across the life stages and sexes in P. canidia.

scholarly journals Monitoring the variation in the gut microbiota of captive woolly monkeys related to changes in diet during a reintroduction process

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Camilo Quiroga-González ◽  
Luis Alberto Chica Cardenas ◽  
Mónica Ramírez ◽  
Alejandro Reyes ◽  
Camila González ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Site Conditions ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
Bacterial Composition ◽  
Diet Diversity ◽  
Woolly Monkeys ◽  
The Moment ◽  
Positive Effect ◽  
Lagothrix Lagothricha

AbstractMicrobiome is known to play an important role in the health of organisms and different factors such as diet have been associated with modifications in microbial communities. Differences in the microbiota composition of wild and captive animals has been evaluated; however, variation during a reintroduction process in primates has never been reported. Our aim was to identify changes in the bacterial composition of three individuals of reintroduced woolly monkeys (Lagothrix lagothricha) and the variables associated with such changes. Fecal samples were collected and the V4 region of the 16S rRNA gene was sequenced to determine gut microbial composition and functionality. Individual samples from released individuals showed a higher microbial diversity after being released compared to before liberation, associated with changes in their diet. Beta diversity and functionality analysis showed separation of samples from released and captive conditions and the major factor of variation was the moment of liberation. This study shows that intestinal microbiota varies depending on site conditions and is mainly associated with diet diversity. The intake of food from wild origin by released primates may promote a positive effect on gut microbiota, improving health, and potentially increasing success in reintroduction processes.

scholarly journals The Effects of Genetic Relatedness on the Preterm Infant Gut Microbiota

2021 ◽  
Vol 9 (2) ◽  
pp. 278
Author(s):  
Shen Jean Lim ◽  
Miriam Aguilar-Lopez ◽  
Christine Wetzel ◽  
Samia V. O. Dutra ◽  
Vanessa Bray ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Preterm Infant ◽  
Neonatal Intensive Care ◽  
Genetic Relatedness ◽  
Bovine Milk ◽  
Alpha Diversity ◽  
Neonatal Intensive Care Units ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Operational Taxonomic Units

The preterm infant gut microbiota is influenced by environmental, endogenous, maternal, and genetic factors. Although siblings share similar gut microbial composition, it is not known how genetic relatedness affects alpha diversity and specific taxa abundances in preterm infants. We analyzed the 16S rRNA gene content of stool samples, ≤ and >3 weeks postnatal age, and clinical data from preterm multiplets and singletons at two Neonatal Intensive Care Units (NICUs), Tampa General Hospital (TGH; FL, USA) and Carle Hospital (IL, USA). Weeks on bovine milk-based fortifier (BMF) and weight gain velocity were significant predictors of alpha diversity. Alpha diversity between siblings were significantly correlated, particularly at ≤3 weeks postnatal age and in the TGH NICU, after controlling for clinical factors. Siblings shared higher gut microbial composition similarity compared to unrelated individuals. After residualizing against clinical covariates, 30 common operational taxonomic units were correlated between siblings across time points. These belonged to the bacterial classes Actinobacteria, Bacilli, Bacteroidia, Clostridia, Erysipelotrichia, and Negativicutes. Besides the influence of BMF and weight variables on the gut microbial diversity, our study identified gut microbial similarities between siblings that suggest genetic or shared maternal and environmental effects on the preterm infant gut microbiota.

scholarly journals Encapsulated cyclosporine does not change the composition of the human microbiota when assessed ex vivo and in vivo

2020 ◽  
Vol 69 (6) ◽  
pp. 854-863
Author(s):  
Catherine O'Reilly ◽  
Órla O’Sullivan ◽  
Paul D. Cotter ◽  
Paula M. O’Connor ◽  
Fergus Shanahan ◽  
...  
Keyword(s):  
Pilot Study ◽  
Gut Microbiota ◽  
Targeted Delivery ◽  
Healthy Subjects ◽  
Ex Vivo ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Microbiota Composition ◽  
Faecal Samples

Introduction. Management of steroid-refractory ulcerative colitis has predominantly involved treatment with systemic cyclosporine A (CyA) and infliximab. Aim. The purpose of this study was to assess the effect of using a colon-targeted delivery system CyA formulation on the composition and functionality of the gut microbiota. Methodology. Ex vivo faecal fermentations from six healthy control subjects were treated with coated minispheres (SmPill) with (+) or without (−) CyA and compared with a non-treated control in a model colon system. In addition, the in vivo effect of the SmPill+CyA formulation was investigated by analysing the gut microbiota in faecal samples collected before the administration of SmPill+CyA and after 7 consecutive days of administration from eight healthy subjects who participated in a pilot study. Results. Analysis of faecal samples by 16S rRNA gene sequencing indicated little variation in the diversity or relative abundance of the microbiota composition before or after treatment with SmPill minispheres with or without CyA ex vivo or with CyA in vivo. Short-chain fatty acid profiles were evaluated using gas chromatography, showing an increase in the concentration of n-butyrate (P=0.02) and acetate (P=0.32) in the faecal fermented samples incubated in the presence of SmPill minispheres with or without CyA. This indicated that increased acetate and butyrate production was attributed to a component of the coated minispheres rather than an effect of CyA on the microbiota. Butyrate and acetate levels also increased significantly (P=0.05 for both) in the faecal samples of healthy individuals following 7 days’ treatment with SmPill+CyA in the pilot study. Conclusion. SmPill minispheres with or without CyA at the clinically relevant doses tested here have negligible direct effects on the gut microbiota composition. Butyrate and acetate production increased, however, in the presence of the beads in an ex vivo model system as well as in vivo in healthy subjects. Importantly, this study also demonstrates the relevance and value of using ex vivo colon models to predict the in vivo impact of colon-targeted drugs directly on the gut microbiota.

scholarly journals Comparative Analysis of the Gut Microbiota of Adult Mosquitoes From Eight Locations in Hainan, China

2020 ◽  
Vol 10 ◽  
Author(s):  
Xun Kang ◽  
Yanhong Wang ◽  
Siping Li ◽  
Xiaomei Sun ◽  
Xiangyang Lu ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Disease Control ◽  
Bacterial Communities ◽  
Mosquito Species ◽  
Microbial Community Composition ◽  
Variable Region ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Quality Filtering ◽  
And Function

The midgut microbial community composition, structure, and function of field-collected mosquitoes may provide a way to exploit microbial function for mosquito-borne disease control. However, it is unclear how adult mosquitoes acquire their microbiome, how the microbiome affects life history traits and how the microbiome influences community structure. We analyzed the composition of 501 midgut bacterial communities from field-collected adult female mosquitoes, including Aedes albopictus, Aedes galloisi, Culex pallidothorax, Culex pipiens, Culex gelidus, and Armigeres subalbatus, across eight habitats using the HiSeq 4000 system and the V3−V4 hyper-variable region of 16S rRNA gene. After quality filtering and rarefaction, a total of 1421 operational taxonomic units, belonging to 29 phyla, 44 families, and 43 genera were identified. Proteobacteria (75.67%) were the most common phylum, followed by Firmicutes (10.38%), Bacteroidetes (6.87%), Thermi (4.60%), and Actinobacteria (1.58%). The genera Rickettsiaceae (33.00%), Enterobacteriaceae (20.27%), Enterococcaceae (7.49%), Aeromonadaceae (7.00%), Thermaceae (4.52%), and Moraxellaceae (4.31%) were dominant in the samples analyzed and accounted for 76.59% of the total genera. We characterized the midgut bacterial communities of six mosquito species in Hainan province, China. The gut bacterial communities were different in composition and abundance, among locations, for all mosquito species. There were significant differences in the gut microbial composition between some species and substantial variation in the gut microbiota between individuals of the same mosquito species. There was a marked variation in different mosquito gut microbiota within the same location. These results might be useful in the identification of microbial communities that could be exploited for disease control.

scholarly journals Deciphering Gut Microbiota Dysbiosis and Corresponding Genetic and Metabolic Dysregulation in Psoriasis Patients Using Metagenomics Sequencing

2021 ◽  
Vol 11 ◽  
Author(s):  
Shiju Xiao ◽  
Guangzhong Zhang ◽  
Chunyan Jiang ◽  
Xin Liu ◽  
Xiaoxu Wang ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Target Genes ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Phosphotransferase System ◽  
Microbial Composition ◽  
Kegg Pathways ◽  
Significant Difference ◽  
Rrna Gene Sequencing ◽  
Endothelial Growth Factor

BackgroundIncreasing evidence has shown that alterations in the intestinal microbiota play an important role in the pathogenesis of psoriasis. The existing relevant studies focus on 16S rRNA gene sequencing, but in-depth research on gene functions and comprehensive identification of microbiota is lacking.ObjectivesTo comprehensively identify characteristic gut microbial compositions, genetic functions and relative metabolites of patients with psoriasis and to reveal the potential pathogenesis of psoriasis.MethodsDNA was extracted from the faecal microbiota of 30 psoriatic patients and 15 healthy subjects, and metagenomics sequencing and bioinformatic analyses were performed. The Kyoto Encyclopedia of Genes and Genomes (KEGG) database, cluster of orthologous groups (COG) annotations, and metabolic analyses were used to indicate relative target genes and pathways to reveal the pathogenesis of psoriasis.ResultsCompared with healthy individuals, the gut microbiota of psoriasis patients displayed an alteration in microbial taxa distribution, but no significant difference in microbial diversity. A distinct gut microbial composition in patients with psoriasis was observed, with an increased abundance of the phyla Firmicutes, Actinobacteria and Verrucomicrobia and genera Faecalibacterium, Bacteroides, Bifidobacterium, Megamonas and Roseburia and a decreased abundance of the phyla Bacteroidetes, Euryarchaeota and Proteobacteria and genera Prevotella, Alistipes, and Eubacterium. A total of 134 COGs were predicted with functional analysis, and 15 KEGG pathways, including lipopolysaccharide (LPS) biosynthesis, WNT signaling, apoptosis, bacterial secretion system, and phosphotransferase system, were significantly enriched in psoriasis patients. Five metabolites, hydrogen sulfide (H2S), isovalerate, isobutyrate, hyaluronan and hemicellulose, were significantly dysregulated in the psoriatic cohort. The dysbiosis of gut microbiota, enriched pathways and dysregulated metabolites are relevant to immune and inflammatory response, apoptosis, the vascular endothelial growth factor (VEGF) signaling pathway, gut-brain axis and brain-skin axis that play important roles in the pathogenesis of psoriasis.ConclusionsA clear dysbiosis was displayed in the gut microbiota profile, genetic functions and relative metabolites of psoriasis patients. This study is beneficial for further understanding the inflammatory pathogenesis of psoriasis and could be used to develop microbiome-based predictions and therapeutic approaches.

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