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 The Composition and Predictive Function of the Fecal Microbiota Differ Between Young and Adult Donkeys

2020 ◽  
Vol 11 ◽  
Author(s):  
Jingya Xing ◽  
Guiqin Liu ◽  
Xinzhuang Zhang ◽  
Dongyi Bai ◽  
Jie Yu ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Microbial Community Composition ◽  
Age Groups ◽  
Fecal Microbiota ◽  
Microbial Colonization ◽  
Rrna Gene ◽  
Functional Prediction ◽  
Microbial Composition ◽  
Significant Difference ◽  
And Function

The community of microorganisms inhabiting the gastrointestinal tract of monogastric herbivores played critical roles in the absorption of nutrients and keeping the host healthy. However, its establishment at different age groups has not been quantitatively and functionally examined. The knowledge of microbial colonization and its function in the intestinal tract of different-age donkeys is still limited. By applying the V3–V4 region of the bacterial 16S rRNA gene and functional prediction on fecal samples from different-age donkeys, we characterized the gut microbiota during the different age groups. In contrast to the adult donkeys, the gut microbiota diversity and richness of the young donkeys showed significantly less resemblance. The microbial data showed that diversity and richness increased with age, but a highly individual variation of microbial composition was observed at month 1. Principal coordinate analysis (PCoA) revealed a significant difference across five time points in the feces. The abundance of Bacteroides, Lactobacillus, and Odoribacter tended to decrease, while the proportion of Streptococcus was significantly increased with age. For functional prediction, the relative abundance of pathways had a significant difference in the feces across different age groups, for example, Terpenoids and Polyketides and Folding, Sorting, and Degradation (P < 0.05 or P < 0.01). The analysis of beta diversity (PCoA and LEfSe) and microbial functions predicted with PICRUSt (NSTIs) clearly divided the donkeys into foals (≤3 months old) and adults (≥7 months old). Microbial community composition and structure had distinctive features at each age group, in accordance with functional stability of the microbiota. Our findings established a framework for understanding the composition and function of the fecal microbiota to differ between young and adult donkeys.

scholarly journals Microsporidian Infection in Mosquitoes (Culicidae) Is Associated with Gut Microbiome Composition and Predicted Gut Microbiome Functional Content

2021 ◽  
Author(s):  
Artur Trzebny ◽  
Anna Slodkowicz-Kowalska ◽  
Johanna Björkroth ◽  
Miroslawa Dabert
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Bacterial Communities ◽  
Bacterial Species ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Microbiome Composition ◽  
Microsporidian Infection ◽  
Functional Content

AbstractThe animal gut microbiota consist of many different microorganisms, mainly bacteria, but archaea, fungi, protozoans, and viruses may also be present. This complex and dynamic community of microorganisms may change during parasitic infection. In the present study, we investigated the effect of the presence of microsporidians on the composition of the mosquito gut microbiota and linked some microbiome taxa and functionalities to infections caused by these parasites. We characterised bacterial communities of 188 mosquito females, of which 108 were positive for microsporidian DNA. To assess how bacterial communities change during microsporidian infection, microbiome structures were identified using 16S rRNA microbial profiling. In total, we identified 46 families and four higher taxa, of which Comamonadaceae, Enterobacteriaceae, Flavobacteriaceae and Pseudomonadaceae were the most abundant mosquito-associated bacterial families. Our data suggest that the mosquito gut microbial composition varies among host species. In addition, we found a correlation between the microbiome composition and the presence of microsporidians. The prediction of metagenome functional content from the 16S rRNA gene sequencing suggests that microsporidian infection is characterised by some bacterial species capable of specific metabolic functions, especially the biosynthesis of ansamycins and vancomycin antibiotics and the pentose phosphate pathway. Moreover, we detected a positive correlation between the presence of microsporidian DNA and bacteria belonging to Spiroplasmataceae and Leuconostocaceae, each represented by a single species, Spiroplasma sp. PL03 and Weissella cf. viridescens, respectively. Additionally, W. cf. viridescens was observed only in microsporidian-infected mosquitoes. More extensive research, including intensive and varied host sampling, as well as determination of metabolic activities based on quantitative methods, should be carried out to confirm our results.

scholarly journals Seasonal Changes in the Distinct Taxonomy and Function of the Gut Microbiota in the Wild Ground Squirrel (Spermophilus dauricus)

Animals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 2685
Author(s):  
Xiaoying Yang ◽  
Yuchen Yao ◽  
Xueying Zhang ◽  
Jiahui Zhong ◽  
Fuli Gao ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Breeding Season ◽  
Relative Abundance ◽  
Ground Squirrel ◽  
Microbial Community Composition ◽  
Nucleotide Metabolism ◽  
Rrna Gene ◽  
Seasonal Breeding ◽  
And Function ◽  
Breeding Seasons

Seasonal breeding is a normal phenomenon in which animals adapt to natural selection and reproduce only in specific seasons. Large studies have reported that the gut microbiota is closely related to reproduction. The purpose of this study was to explore the distinct taxonomy and function of the gut microbiota in the breeding and non-breeding seasons of the wild ground squirrel (Spermophilus dauricus). The 16S rRNA gene sequencing technology was utilized to sequence the gut microbiota of the wild ground squirrel. PICRUSt analysis was also applied to predict the function of the gut microbiota. The results suggested that the main components of the gut microbiota in all samples were Firmicutes (61.8%), Bacteroidetes (32.4%), and Proteobacteria (3.7%). Microbial community composition analyses revealed significant differences between the breeding and non-breeding seasons. At the genus level, Alistipes, Mycoplasma, Anaerotruncus, and Odoribacter were more abundant in the non-breeding season, while Blautia and Streptococcus were more abundant in the breeding season. The results of a functional prediction suggested that the relative abundance of functional categories that were related to lipid metabolism, carbohydrate metabolism, and nucleotide metabolism increased in the breeding season. The relative abundance of energy metabolism, transcription, and signal transduction increased in the non-breeding season. Overall, this study found differences in the taxonomy and function of the gut microbiota of the wild ground squirrel between the breeding and non-breeding seasons, and laid the foundation for further studies on the relationship between the gut microbiota and seasonal breeding.

scholarly journals Different analysis strategies of 16S rRNA gene data from rodent studies generate contrasting views of gut bacterial communities associated with diet, health and obesity

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e10372
Author(s):  
Jose F. Garcia-Mazcorro ◽  
Jorge R. Kawas ◽  
Cuauhtemoc Licona Cassani ◽  
Susanne Mertens-Talcott ◽  
Giuliana Noratto
Keyword(s):  
16S Rrna ◽  
Gut Microbiota ◽  
16S Rrna Gene ◽  
Relative Abundance ◽  
Bacterial Communities ◽  
Future Research ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Analysis Strategies ◽  
The Impact

Background One of the main functions of diet is to nurture the gut microbiota and this relationship affects the health of the host. However, different analysis strategies can generate different views on the relative abundance of each microbial taxon, which can affect our conclusions about the significance of diet to gut health in lean and obese subjects. Here we explored the impact of using different analysis strategies to study the gut microbiota in a context of diet, health and obesity. Methods Over 15 million 16S rRNA gene sequences from published studies involving dietary interventions in obese laboratory rodents were analyzed. Three strategies were used to assign the 16S sequences to Operational Taxonomic Units (OTUs) based on the GreenGenes reference OTU sequence files clustered at 97% and 99% similarity. Results Different strategies to select OTUs influenced the relative abundance of all bacterial taxa, but the magnitude of this phenomenon showed a strong study effect. Different taxa showed up to 20% difference in relative abundance within the same study, depending on the analysis strategy. Very few OTUs were shared among the samples. ANOSIM test on unweighted UniFrac distances showed that study, sequencing technique, animal model, and dietary treatment (in that order) were the most important factors explaining the differences in bacterial communities. Except for obesity status, the contribution of diet and other factors to explain the variability in bacterial communities was lower when using weighted UniFrac distances. Predicted functional profile and high-level phenotypes of the microbiota showed that each study was associated with unique features and patterns. Conclusions The results confirm previous findings showing a strong study effect on gut microbial composition and raise concerns about the impact of analysis strategies on the membership and composition of the gut microbiota. This study may be helpful to guide future research aiming to investigate the relationship between diet, health, and the gut microbiota.

scholarly journals Gut Microbiota and Metabolome Alterations Associated with Chinese Monks’ Practice

2022 ◽  
Author(s):  
Tingting Qiao ◽  
Ganghua Lu ◽  
Zhongwei Lv ◽  
Dan Li ◽  
Chengyou Jia ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Intestinal Flora ◽  
16S Rrna Gene Sequencing ◽  
Rrna Gene ◽  
Microbial Composition ◽  
Rrna Gene Sequencing ◽  
And Function ◽  
Mental Events ◽  
The Relationship

Abstract BackgroundThe practices of monks mainly include long-term vegetarianism and meditation, which are likely to fundamentally influence the gut microbiota and fecal metabolites. We aim to study the relationship between the practices of Chinese monks and gut microbiotas and metabolites.MethodsTwenty-four monks and forty-eight omnivorous controls (never meditated) were included. The microbiotas of all samples were profiled by 16S rRNA gene sequencing, and the metabolomes were examined by nontargeted LC–MS metabolomics. Twenty-four monks were divided into the H group and the L group according to the median time of practice, and microbiota and metabolite analyses were carried out in the two groups.ResultsMicrobial communities and metabolites were decreased in monks. Bacteroidetes was increased in monks, while the Firmicutes, Actinobacteria, and Firmicutes/Bacteroidetes ratios were decreased. At the genus level, Faecalibacterium, Lachnospira, Roseburia, norank_f__Lachnospiraceae, etc. were higher in monks, while Blautia, Eubacterium__hallii_group, Bifidobacteria, etc. were lower (all p < 0.05). Most identical KEGG categories in both Tax4Fun and PICRUSt2 were related to metabolism (6/8, 75.0%). Most higher abundance genera were positively correlated with higher abundance metabolites in monks, indicating that intestinal flora significantly affects intestinal metabolic function. Lipids and lipid-like molecules were the major differential metabolites (VIP >2, p < 0.05) in the two groups. L-dopa plays an important role in many metabolic pathways in monks. Prevotella_9 was enriched in the L group, while norank_f__Lachnospiraceae was enriched in the H group. DG (16:0/18:0/0:0) was highly expressed in the H group and participated in sixteen KEGG functional pathways as well as many immune-related KEGG enrichment pathways.ConclusionThe monks' lifestyle practices of vegetarianism and meditation have the potential to modulate human metabolism and function by affecting the gut microbial composition and metabolites. The appropriate practice of monks makes the intestine younger and increases immunity, but long-term practice may cause adverse physical and mental events.

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 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 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.

scholarly journals Role of Biological Sex in the Cardiovascular-Gut Microbiome Axis

2022 ◽  
Vol 8 ◽  
Author(s):  
Shuangyue Li ◽  
Georgios Kararigas
Keyword(s):  
Gut Microbiota ◽  
Gut Microbiome ◽  
Microbial Composition ◽  
Biological Sex ◽  
Technological Advances ◽  
Host Health ◽  
Health And Disease ◽  
And Function ◽  
Insight Into

There has been a recent, unprecedented interest in the role of gut microbiota in host health and disease. Technological advances have dramatically expanded our knowledge of the gut microbiome. Increasing evidence has indicated a strong link between gut microbiota and the development of cardiovascular diseases (CVD). In the present article, we discuss the contribution of gut microbiota in the development and progression of CVD. We further discuss how the gut microbiome may differ between the sexes and how it may be influenced by sex hormones. We put forward that regulation of microbial composition and function by sex might lead to sex-biased disease susceptibility, thereby offering a mechanistic insight into sex differences in CVD. A better understanding of this could identify novel targets, ultimately contributing to the development of innovative preventive, diagnostic and therapeutic strategies for men and women.

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