The Microbiome

Hoffmann, Aline Rodrigues; Proctor, Lita M.; Surette, Michael G.; Suchodolski, Jan S.

doi:10.1177/0300985815595517

Cited by 87 publications

(27 citation statements)

References 131 publications

(215 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Several studies have been performed to describe the microbiota of various body regions in humans, including the skin [2, 3, 10]. In veterinary medicine, fewer studies regarding the microbiota in animals have been performed, however this is a growing area of important research.…”

Section: Introductionmentioning

confidence: 99%

The feline skin microbiota: The bacteria inhabiting the skin of healthy and allergic cats

et al. 2017

View full text Add to dashboard Cite

BackgroundThe skin is inhabited by a multitude of microorganisms. An imbalance of these microorganisms is associated with disease, however, the causal relationship between skin microbiota and disease remains unknown. To describe the cutaneous bacterial microbiota of cats and determine whether bacterial dysbiosis occurs on the skin of allergic cats, the skin surfaces on various regions of 11 healthy cats and 10 allergic cats were sampled.Methodology/Principal findingsGenomic DNA was extracted from skin swabs and sequenced using primers that target the V4 region of the bacterial 16S rRNA. The bacterial sequences from healthy cats revealed that there are differences in species diversity and richness between body sites and different epithelial surfaces. Bacterial communities preferred body site niches in the healthy cats, however, the bacterial communities on allergic cat skin tended to be more unique to the individual cat. Overall, the number of bacterial species was not significantly different between the two health status groups, however, the abundances of these bacterial species were different between healthy and allergic skin. Staphylococcus, in addition to other taxa, was more abundant on allergic skin.Conclusions/SignificanceThis study reveals that there are more bacterial species inhabiting the skin of cats than previously thought and provide some evidence of an association between dysbiosis and skin disease.

show abstract

Section: Introductionmentioning

confidence: 99%

The feline skin microbiota: The bacteria inhabiting the skin of healthy and allergic cats

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Collecting and analyzing very large data sets has become increasingly common as technologies for storage and computation advance. For example, research utilizing bioinformatics approaches, detailed data on the demographics and movements of animal populations, and large scale spatial datasets routinely generate terabytes of data, stimulating a new frontier of advanced analytics to handle such data (9)(10)(11). Here, we do not provide an exhaustive review of the use of high volume datasets in veterinary epidemiology, but rather select a few diverse examples that highlight the potential use of big data to identify high-risk populations.…”

Section: Volume: Identifying High-risk Populations With Big Datamentioning

confidence: 99%

Translating Big Data into Smart Data for Veterinary Epidemiology

et al. 2017

View full text Add to dashboard Cite

The increasing availability and complexity of data has led to new opportunities and challenges in veterinary epidemiology around how to translate abundant, diverse, and rapidly growing “big” data into meaningful insights for animal health. Big data analytics are used to understand health risks and minimize the impact of adverse animal health issues through identifying high-risk populations, combining data or processes acting at multiple scales through epidemiological modeling approaches, and harnessing high velocity data to monitor animal health trends and detect emerging health threats. The advent of big data requires the incorporation of new skills into veterinary epidemiology training, including, for example, machine learning and coding, to prepare a new generation of scientists and practitioners to engage with big data. Establishing pipelines to analyze big data in near real-time is the next step for progressing from simply having “big data” to create “smart data,” with the objective of improving understanding of health risks, effectiveness of management and policy decisions, and ultimately preventing or at least minimizing the impact of adverse animal health issues.

show abstract

“…The microbiome is the vast numbers and varieties of microbes, their genes, and their metabolites that are embedded features of all mucosal surfaces, digestive tract, skin, and all bodily tissues. Each assemblage plays a critical role for the optimal function of our gut (24), brain and central nervous systems (25, 26), respiratory (27) and immune systems (28, 29), and oral cavity (30). …”

Section: The Microbiome In Health and Diseasementioning

confidence: 99%

“…These interrelationships are so overlapping and co-dependent that any individual eukaryotic organism must be viewed as intertwined ecological co-dependent cellular habitats. In this complex association, fundamental processes of community ecology apply, such as dispersion of nutrients and constituents, degree of variation and specialization, or selection pressures (28). …”

Section: The Microbiome In Health and Diseasementioning

confidence: 99%

The Eukaryotic Microbiome: Origins and Implications for Fetal and Neonatal Life

Miller

2016

Front. Pediatr.

View full text Add to dashboard Cite

All eukaryotic organisms are holobionts representing complex collaborations between the entire microbiome of each eukaryote and its innate cells. These linked constituencies form complex localized and interlocking ecologies in which the specific microbial constituents and their relative abundance differ substantially according to age and environmental exposures. Rapid advances in microbiology and genetic research techniques have uncovered a significant previous underestimate of the extent of that microbial contribution and its metabolic and developmental impact on holobionts. Therefore, a re-calibration of the neonatal period is suggested as a transitional phase in development that includes the acquisition of consequential collaborative microbial life from extensive environmental influences. These co-dependent, symbiotic relationships formed in the fetal and neonatal stages extend into adulthood and even across generations.

show abstract

The Microbiome

Cited by 87 publications

References 131 publications

The feline skin microbiota: The bacteria inhabiting the skin of healthy and allergic cats

The feline skin microbiota: The bacteria inhabiting the skin of healthy and allergic cats

Translating Big Data into Smart Data for Veterinary Epidemiology

The Eukaryotic Microbiome: Origins and Implications for Fetal and Neonatal Life

Contact Info

Product

Resources

About