scholarly journals Crosstalk Between Culturomics and Microbial Profiling of Egyptian Mongoose (Herpestes ichneumon) Gut Microbiome

2020 ◽  
Vol 8 (6) ◽  
pp. 808 ◽  
Author(s):  
André C. Pereira ◽  
Victor Bandeira ◽  
Carlos Fonseca ◽  
Mónica V. Cunha
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Microbial Community Composition ◽  
Shannon Index ◽  
Data Series ◽  
Independent Sequence ◽  
Microbial Profiling ◽  
Culture Independent ◽  
Egyptian Mongoose ◽  
Herpestes Ichneumon

Recently, we unveiled taxonomical and functional differences in Egyptian mongoose (Herpestes ichneumon) gut microbiota across sex and age classes by microbial profiling. In this study, we generate, through culturomics, extended baseline information on the culturable bacterial and fungal microbiome of the species using the same specimens as models. Firstly, this strategy enabled us to explore cultivable microbial community differences across sexes and to ascertain the influence exerted by biological and environmental contexts of each host in its microbiota signature. Secondly, it permitted us to compare the culturomics and microbial profiling approaches and their ability to provide information on mongoose gut microbiota. In agreement with microbial profiling, culturomics showed that the core gut cultivable microbiota of the mongoose is dominated by Firmicutes and, as previously found, is able to distinguish sex- and age class-specific genera. Additional information could be obtained by culturomics, with six new genera unveiled. Richness indices and the Shannon index were concordant between culture-dependent and culture-independent approaches, highlighting significantly higher values when using microbial profiling. However, the Simpson index underlined higher values for the culturomics-generated data. These contrasting results were due to a differential influence of dominant and rare taxa on those indices. Beta diversity analyses of culturable microbiota showed similarities between adults and juveniles, but not in the data series originated from microbial profiling. Additionally, whereas the microbial profiling indicated that there were several bioenvironmental features related to the bacterial gut microbiota of the Egyptian mongoose, a clear association between microbiota and bioenvironmental features could not be established through culturomics. The discrepancies found between the data generated by the two methodologies and the underlying inferences, both in terms of β-diversity and role of bioenvironmental features, confirm that culture-independent, sequence-based methods have a higher ability to assess, at a fine scale, the influence of abiotic and biotic factors on the microbial community composition of mongoose’ gut. However, when used in a complementary perspective, this knowledge can be expanded by culturomics.

scholarly journals PSI-10 Establishing a foundation to harvest the potential of the microbiome in poultry production

2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 293-294
Author(s):  
Camila S Marcolla ◽  
Benjamin Willing
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Community Composition ◽  
Relative Abundance ◽  
Microbial Community Composition ◽  
Alpha Diversity ◽  
Poultry Production ◽  
Microbiota Composition ◽  
Microbial Composition ◽  
The Impact

Abstract This study aimed to characterize poultry microbiota composition in commercial farms using 16S rRNA sequencing. Animals raised in sanitized environments have lower survival rates when facing pathogenic challenges compared to animals naturally exposed to commensal organisms. We hypothesized that intensive rearing practices inadvertently impair chicken exposure to microbes and the establishment of a balanced gut microbiota. We compared gut microbiota composition of broilers (n = 78) and layers (n = 20) from different systems, including commercial intensive farms with and without in-feed antibiotics, organic free-range farms, backyard-raised chickens and chickens in an experimental farm. Microbial community composition of conventionally raised broilers was significantly different from antibiotic-free broilers (P = 0.012), from broilers raised outdoors (P = 0.048) and in an experimental farm (P = 0.006) (Fig1). Significant community composition differences were observed between antibiotic-fed and antibiotic-free chickens (Fig2). Antibiotic-free chickens presented higher alpha-diversity, higher relative abundance of Deferribacteres, Fusobacteria, Bacteroidetes and Actinobacteria, and lower relative abundance of Firmicutes, Clostridiales and Enterobacteriales than antibiotic-fed chickens (P < 0.001) (Fig3). Microbial community composition significantly changed as birds aged. In experimental farm, microbial community composition was significant different for 7, 21 and 35 day old broilers (P < 0.001), and alpha diversity increased from 7 to 21d (P < 0.024), but not from 21 to 35d; whereas, in organic systems, increases in alpha-diversity were observed from 7d to 21d, and from 21d to 35d (P < 0.05). Broilers and layers raised together showed no differences in microbiota composition and alpha diversity (P > 0.8). It is concluded that production practices consistently impact microbial composition, and that antibiotics significantly reduces microbial diversity. We are now exploring the impact of differential colonization in a controlled setting, to determine the impact of the microbes associated with extensively raised chickens. This study will support future research and the development of methods to isolate and introduce beneficial microbes to commercial systems.

scholarly journals Community composition and development of the post-weaning piglet gut microbiome

2020 ◽  
Author(s):  
Daniela Gaio ◽  
Matthew Z DeMaere ◽  
Kay Anantanawat ◽  
Graeme J Eamens ◽  
Michael Liu ◽  
...  
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Community Composition ◽  
Antibiotic Treatment ◽  
Gut Microbiome ◽  
Treatment Effects ◽  
Sequence Data ◽  
Microbial Community Composition ◽  
Dominant Factor ◽  
Microbial Composition

Abstract BackgroundEarly weaning and intensive farming practices predispose piglets to the development of infectious and often lethal diseases, against which antibiotics are used. Besides contributing to the build-up of antimicrobial resistance, antibiotics are known to modulate the gut microbial composition. Studies have previously investigated the effects of probiotics as alternatives to antibiotic treatment for the prevention of post-weaning diarrhea. In order to describe the post-weaning gut microbiota, and the effects of two probiotics formulations and of intramuscular antibiotic treatment on the gut microbiota, we processed over 800 faecal time-series samples from 126 piglets and 42 sows, generating over 8Tbp of metagenomic shotgun sequence data. Here we describe the animal trial procedures, the generation of our metagenomic dataset and the analysis of the microbial community composition using a phylogenetic framework.ResultsFactors such as age, litter effects, and breed, by significantly correlating with gut microbial community shifts, can be major confounding factors in the assessment of treatment effects. Intramuscular antibiotic treatment and probiotic treatments were found to correlate with alpha and beta diversity, as well as with a transient establishment of Mollicutes and Lactobacillales, respectively. We found the abundance of certain taxa to correlate with weight gain.ConclusionsOur findings demonstrate that breed, litter, and age, are important contributors to variation in the community composition, and that treatment effects of the antibiotic and probiotic treatments were subtle, while host age was the dominant factor in shaping the gut microbiota of piglets after weaning. The current study shows, by means of a phylogenetic diversity framework, that the post-weaning pig gut microbiome appears to follow a highly structured developmental program with characteristic post-weaning changes that can distinguish hosts that were born as little as two days apart in the second month of life.

scholarly journals Nonpareil 3: Fast Estimation of Metagenomic Coverage and Sequence Diversity

mSystems ◽  
2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Luis M. Rodriguez-R ◽  
Santosh Gunturu ◽  
James M. Tiedje ◽  
James R. Cole ◽  
Konstantinos T. Konstantinidis
Keyword(s):  
Microbial Community ◽  
Shannon Index ◽  
Sequence Diversity ◽  
Metagenomic Data ◽  
Reference Database ◽  
Rrna Gene ◽  
Data Sets ◽  
Data Set ◽  
Genomic Study ◽  
Culture Independent

ABSTRACT Estimations of microbial community diversity based on metagenomic data sets are affected, often to an unknown degree, by biases derived from insufficient coverage and reference database-dependent estimations of diversity. For instance, the completeness of reference databases cannot be generally estimated since it depends on the extant diversity sampled to date, which, with the exception of a few habitats such as the human gut, remains severely undersampled. Further, estimation of the degree of coverage of a microbial community by a metagenomic data set is prohibitively time-consuming for large data sets, and coverage values may not be directly comparable between data sets obtained with different sequencing technologies. Here, we extend Nonpareil, a database-independent tool for the estimation of coverage in metagenomic data sets, to a high-performance computing implementation that scales up to hundreds of cores and includes, in addition, a k -mer-based estimation as sensitive as the original alignment-based version but about three hundred times as fast. Further, we propose a metric of sequence diversity ( N d ) derived directly from Nonpareil curves that correlates well with alpha diversity assessed by traditional metrics. We use this metric in different experiments demonstrating the correlation with the Shannon index estimated on 16S rRNA gene profiles and show that N d additionally reveals seasonal patterns in marine samples that are not captured by the Shannon index and more precise rankings of the magnitude of diversity of microbial communities in different habitats. Therefore, the new version of Nonpareil, called Nonpareil 3, advances the toolbox for metagenomic analyses of microbiomes. IMPORTANCE Estimation of the coverage provided by a metagenomic data set, i.e., what fraction of the microbial community was sampled by DNA sequencing, represents an essential first step of every culture-independent genomic study that aims to robustly assess the sequence diversity present in a sample. However, estimation of coverage remains elusive because of several technical limitations associated with high computational requirements and limiting statistical approaches to quantify diversity. Here we described Nonpareil 3, a new bioinformatics algorithm that circumvents several of these limitations and thus can facilitate culture-independent studies in clinical or environmental settings, independent of the sequencing platform employed. In addition, we present a new metric of sequence diversity based on rarefied coverage and demonstrate its use in communities from diverse ecosystems.

Co-evolution in context: The importance of studying gut microbiomes in wild animals

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Katherine R. Amato
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Community Composition ◽  
Microbial Community Composition ◽  
Wild Animals ◽  
Natural Habitats ◽  
Host Fitness ◽  
Host Habitat ◽  
Gut Microbe ◽  
Gut Microbial Community

AbstractBecause the gut microbiota contributes to host nutrition, health and behavior, and gut microbial community composition differs according to host phylogeny, co-evolution is believed to have been an important mechanism in the formation of the host-gut microbe relationship. However, current research is not ideal for examining this theme. Most studies of the gut microbiota are performed in controlled settings, but gut microbial community composition is strongly influenced by environmental factors. To truly explore the co-evolution of host and microbe, it is necessary to have data describing host-microbe dynamics in natural environments with variation in factors such as climate, food availability, disease prevalence, and host behavior. In this review, I use current knowledge of host-gut microbe dynamics to explore the potential interactions between host and microbe in natural habitats. These interactions include the influence of host habitat on gut microbial community composition as well as the impacts of the gut microbiota on host fitness in a given habitat. Based on what we currently know, the potential connections between host habitat, the gut microbiota, and host fitness are great. Studies of wild animals will be an essential next step to test these connections and to advance our understanding of host-gut microbe co-evolution.

scholarly journals Honeybee microbiome is stabilized in the presence of propolis

2020 ◽  
Vol 16 (5) ◽  
pp. 20200003 ◽  
Author(s):  
Perot Saelao ◽  
Renata S. Borba ◽  
Vincent Ricigliano ◽  
Marla Spivak ◽  
Michael Simone-Finstrom
Keyword(s):  
Community Structure ◽  
Microbial Community ◽  
Gut Microbiota ◽  
Significant Role ◽  
Microbial Community Structure ◽  
Microbial Community Composition ◽  
Taxonomic Diversity ◽  
Honeybee Colony ◽  
Gut Symbionts ◽  
Microbial Symbionts

Honeybees have developed many unique mechanisms to help ensure the proper maintenance of homeostasis within the hive. One method includes the collection of chemically complex plant resins combined with wax to form propolis, which is deposited throughout the hive. Propolis is believed to play a significant role in reducing disease load in the colony due to its antimicrobial and antiseptic properties. However, little is known about how propolis may interact with bee-associated microbial symbionts, and if propolis alters microbial community structure. In this study, we found that propolis appears to maintain a stable microbial community composition and reduce the overall taxonomic diversity of the honeybee microbiome. Several key members of the gut microbiota were significantly altered in the absence of propolis, suggesting that it may play an important role in maintaining favourable abundance and composition of gut symbionts. Overall, these findings suggest that propolis may help to maintain honeybee colony microbial health by limiting changes to the overall microbial community.

scholarly journals Host Habitat Is the Major Determinant of the Gut Microbiome of Fish

2021 ◽  
Author(s):  
Pil Soo Kim ◽  
Na-Ri Shin ◽  
Jae-Bong Lee ◽  
Min-Soo Kim ◽  
Tae Woong Whon ◽  
...  
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Microbial Community Composition ◽  
Terrestrial Vertebrates ◽  
Symbiotic Relationships ◽  
Machine Learning Approach ◽  
Host Habitat ◽  
Functional Profiles ◽  
Gut Microbial Community

Abstract Background: Our understanding of the gut microbiota of animals is largely based on studies of mammals. To better understand the evolutionary basis of symbiotic relationships between animal hosts and indigenous microbes, it is necessary to investigate the gut microbiota of non-mammalian vertebrate species. In particular, fish have the highest species diversity among groups of vertebrates, with approximately 33,000 species. In this study, we comprehensively characterized gut bacterial communities in fish.Results: We analyzed 227 individual fish representing 14 orders, 42 families, 79 genera, and 85 species. The fish gut microbiota was dominated by Proteobacteria (51.7%) and Firmicutes (13.5%), different from the dominant taxa reported in terrestrial vertebrates (Firmicutes and Bacteroidetes). The gut microbial community in fish was more strongly shaped by host habitat than by host taxonomy or trophic level. Using a machine learning approach trained on the microbial community composition or predicted functional profiles, we found that the host habitat exhibited the highest classification accuracy. Principal coordinate analysis revealed that the gut bacterial community of fish differs significantly from those of other vertebrate classes (reptiles, birds, and mammals).Conclusions: Collectively, these data provide a reference for future studies of the gut microbiome of aquatic animals as well as insights into the relationship between fish and their gut bacteria, including the key role of host habitat and the distinct compositions in comparison with those of mammals, reptiles, and birds.

scholarly journals Antibiotics and fecal transfaunation differentially affect microbiota recovery, associations, and antibiotic resistance in lemur guts

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Sally L. Bornbusch ◽  
Rachel L. Harris ◽  
Nicholas M. Grebe ◽  
Kimberly Roche ◽  
Kristin Dimac-Stohl ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Microbial Community ◽  
Gut Microbiota ◽  
Microbial Diversity ◽  
Community Composition ◽  
Microbial Community Composition ◽  
Microbial Consortia ◽  
Metagenomic Sequencing ◽  
Negative Consequences

Abstract Background Antibiotics alter the diversity, structure, and dynamics of host-associated microbial consortia, including via development of antibiotic resistance; however, patterns of recovery from microbial imbalances and methods to mitigate associated negative effects remain poorly understood, particularly outside of human-clinical and model-rodent studies that focus on outcome over process. To improve conceptual understanding of host-microbe symbiosis in more naturalistic contexts, we applied an ecological framework to a non-traditional, strepsirrhine primate model via long-term, multi-faceted study of microbial community structure before, during, and following two experimental manipulations. Specifically, we administered a broad-spectrum antibiotic, either alone or with subsequent fecal transfaunation, to healthy, male ring-tailed lemurs (Lemur catta), then used 16S rRNA and shotgun metagenomic sequencing to longitudinally track the diversity, composition, associations, and resistomes of their gut microbiota both within and across baseline, treatment, and recovery phases. Results Antibiotic treatment resulted in a drastic decline in microbial diversity and a dramatic alteration in community composition. Whereas microbial diversity recovered rapidly regardless of experimental group, patterns of microbial community composition reflected long-term instability following treatment with antibiotics alone, a pattern that was attenuated by fecal transfaunation. Covariation analysis revealed that certain taxa dominated bacterial associations, representing potential keystone species in lemur gut microbiota. Antibiotic resistance genes, which were universally present, including in lemurs that had never been administered antibiotics, varied across individuals and treatment groups. Conclusions Long-term, integrated study post antibiotic-induced microbial imbalance revealed differential, metric-dependent evidence of recovery, with beneficial effects of fecal transfaunation on recovering community composition, and potentially negative consequences to lemur resistomes. Beyond providing new perspectives on the dynamics that govern host-associated communities, particularly in the Anthropocene era, our holistic study in an endangered species is a first step in addressing the recent, interdisciplinary calls for greater integration of microbiome science into animal care and conservation.

scholarly journals Altered fecal microbiota composition in individuals who abuse methamphetamine

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yongde Yang ◽  
Xuan Yu ◽  
Xuebing Liu ◽  
Guangya Liu ◽  
Kuan Zeng ◽  
...  
Keyword(s):  
Gut Microbiota ◽  
Negative Symptoms ◽  
Microbial Community Composition ◽  
Public Health Problem ◽  
16S Rrna Gene Sequencing ◽  
Fecal Microbiota ◽  
Shannon Index ◽  
Control Group ◽  
Rrna Gene ◽  
New Paradigm

AbstractAs a severe public health problem, methamphetamine (METH) abuse places a heavy burden on families and society. A growing amount of evidence has indicated communication between gut microbiota and the CNS in drug addiction, with associations to neural, endocrine and immune pathways. Thus, we searched for alterations in the gut microbiota and their potential effects in METH users through 16S rRNA gene sequencing. A decreased Shannon index indicated lower bacterial diversity in the METH users than in the age-matched control group. The gut microbial community composition in the METH users was also altered, including reductions in Deltaproteobacteria and Bacteroidaceae abundances and increases in Sphingomonadales, Xanthomonadales, Romboutsia and Lachnospiraceae abundances. Moreover, the Fusobacteria abundance was correlated with the duration of METH use. Enterobacteriaceae, Ruminococcaceae, Bacteroides, and Faecalibacterium had statistically significant correlations with items related to the positive and negative symptoms of schizophrenia and to general psychopathology in the METH users, and all have previously been reported to be altered in individuals with psychotic syndromes, especially depression. Abstraction, one of the items of the cognitive assessment, was positively related to Blautia. These findings revealed alterations in the gut microbiota of METH users, and these alterations may play a role in psychotic syndrome and cognitive impairment. Although the mechanisms behind the links between these disorders and METH abuse are unknown, the relationships may indicate similarities in the pathogenesis of psychosis induced by METH abuse and other causes, providing a new paradigm for addiction and METH use disorder treatment.

scholarly journals On the robustness of inference of association with the gut microbiota in stool, swab and mucosal tissue samples

2021 ◽  
Author(s):  
Shan Sun ◽  
Xiangzhu Zhu ◽  
Xiang Huang ◽  
Harvey J. Murff ◽  
Reid M. Ness ◽  
...  
Keyword(s):  
Microbial Community ◽  
Gut Microbiota ◽  
Community Composition ◽  
Microbial Community Composition ◽  
Amplicon Sequencing ◽  
Taxonomic Composition ◽  
Mucosal Tissue ◽  
Tissue Samples ◽  
16S Rrna Amplicon Sequencing ◽  
Functional Profiles

AbstractThe gut microbiota plays an important role in human health and disease. Stool, swab and mucosal tissue samples have been used in individual studies to survey the microbial community but the consequences of using these different sample types are not completely understood. We previously reported differences in microbial community composition with 16S rRNA amplicon sequencing between stool, swab and mucosal tissue samples. Here, we extended the previous study to a larger cohort and performed shotgun metagenome sequencing of 1,397 stool, swab and mucosal tissue samples from 240 participants. Consistent with previous results, taxonomic composition of stool and swab samples was distinct, but still more similar to each other than mucosal tissue samples, which had a substantially different community composition, characterized by a high relative abundance of the mucus metabolizers Bacteroides and Subdoligranulum, as well as bacteria with higher tolerance for oxidative stress such as Escherichia. As has been previously reported, functional profiles were more uniform across sample types than taxonomic profiles with differences between stool and swab samples smaller, but mucosal tissue samples remained distinct from the other two types. When the taxonomic and functional profiles of different sample types were used for inference in association with host phenotypes of age, sex, body mass index (BMI), antibiotics or non-steroidal anti-inflammatory drugs (NSAIDs) use, hypothesis testing using either stool or swab gave broadly similar results, but inference performed on mucosal tissue samples gave results that were generally less consistent with either stool or swab. Our study represents an important resource for the experimental design of studies aimed to understand microbiota perturbations specific to defined micro niches within the human intestinal tract.

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