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1.
Sci Rep ; 14(1): 14618, 2024 06 25.
Artigo em Inglês | MEDLINE | ID: mdl-38918492

RESUMO

Early-life exposure to environmental toxicants like Benzo[a]pyrene (BaP) is associated with several health consequences in vertebrates (i.e., impaired or altered neurophysiological and behavioral development). Although toxicant impacts were initially studied relative to host physiology, recent studies suggest that the gut microbiome is a possible target and/or mediator of behavioral responses to chemical exposure in organisms, via the gut-brain axis. However, the connection between BaP exposure, gut microbiota, and developmental neurotoxicity remains understudied. Using a zebrafish model, we determined whether the gut microbiome influences BaP impacts on behavior development. Embryonic zebrafish were treated with increasing concentrations of BaP and allowed to grow to the larval life stage, during which they underwent behavioral testing and intestinal dissection for gut microbiome profiling via high-throughput sequencing. We found that exposure affected larval zebrafish microbiome diversity and composition in a manner tied to behavioral development: increasing concentrations of BaP were associated with increased taxonomic diversity, exposure was associated with unweighted UniFrac distance, and microbiome diversity and exposure predicted larval behavior. Further, a gnotobiotic zebrafish experiment clarified whether microbiome presence was associated with BaP exposure response and behavioral changes. We found that gut microbiome state altered the relationship between BaP exposure concentration and behavioral response. These results support the idea that the zebrafish gut microbiome is a determinant of the developmental neurotoxicity that results from chemical exposure.


Assuntos
Comportamento Animal , Benzo(a)pireno , Microbioma Gastrointestinal , Larva , Peixe-Zebra , Animais , Peixe-Zebra/microbiologia , Benzo(a)pireno/toxicidade , Microbioma Gastrointestinal/efeitos dos fármacos , Comportamento Animal/efeitos dos fármacos , Larva/efeitos dos fármacos , Larva/microbiologia
2.
Anim Microbiome ; 5(1): 38, 2023 Aug 10.
Artigo em Inglês | MEDLINE | ID: mdl-37563644

RESUMO

BACKGROUND: Despite the long-established importance of zebrafish (Danio rerio) as a model organism and their increasing use in microbiome-targeted studies, relatively little is known about how husbandry practices involving diet impact the zebrafish gut microbiome. Given the microbiome's important role in mediating host physiology and the potential for diet to drive variation in microbiome composition, we sought to clarify how three different dietary formulations that are commonly used in zebrafish facilities impact the gut microbiome. We compared the composition of gut microbiomes in approximately 60 AB line adult (129- and 214-day-old) zebrafish fed each diet throughout their lifespan. RESULTS: Our analysis finds that diet has a substantial impact on the composition of the gut microbiome in adult fish, and that diet also impacts the developmental variation in the gut microbiome. We further evaluated how 214-day-old fish microbiome compositions respond to exposure of a common laboratory pathogen, Mycobacterium chelonae, and whether these responses differ as a function of diet. Our analysis finds that diet determines the manner in which the zebrafish gut microbiome responds to M. chelonae exposure, especially for moderate and low abundance taxa. Moreover, histopathological analysis finds that male fish fed different diets are differentially infected by M. chelonae. CONCLUSIONS: Overall, our results indicate that diet drives the successional development of the gut microbiome as well as its sensitivity to exogenous exposure. Consequently, investigators should carefully consider the role of diet in their microbiome zebrafish investigations, especially when integrating results across studies that vary by diet.

3.
mSystems ; 7(1): e0105821, 2022 02 22.
Artigo em Inglês | MEDLINE | ID: mdl-35040699

RESUMO

A growing body of research has established that the microbiome can mediate the dynamics and functional capacities of diverse biological systems. Yet, we understand little about what governs the response of these microbial communities to host or environmental changes. Most efforts to model microbiomes focus on defining the relationships between the microbiome, host, and environmental features within a specified study system and therefore fail to capture those that may be evident across multiple systems. In parallel with these developments in microbiome research, computer scientists have developed a variety of machine learning tools that can identify subtle, but informative, patterns from complex data. Here, we recommend using deep transfer learning to resolve microbiome patterns that transcend study systems. By leveraging diverse public data sets in an unsupervised way, such models can learn contextual relationships between features and build on those patterns to perform subsequent tasks (e.g., classification) within specific biological contexts.


Assuntos
Microbiota , Microbiota/fisiologia , Aprendizado de Máquina
4.
Toxics ; 9(1)2021 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-33467528

RESUMO

Zebrafish are increasingly used to study how environmental exposures impact vertebrate gut microbes. However, we understand little about which microbial taxa are common to the zebrafish gut across studies and facilities. Here, we define the zebrafish core gut microbiome to resolve microbiota that are both relatively robust to study or facility effects and likely to drive proper microbiome assembly and functioning due to their conservation. To do so, we integrated publicly available gut microbiome 16S gene sequence data from eight studies into a phylogeny and identified monophyletic clades of gut bacteria that are unexpectedly prevalent across individuals. Doing so revealed 585 core clades of bacteria in the zebrafish gut, including clades within Aeromonas, Pseudomonas, Cetobacterium, Shewanella, Chitinibacter, Fluviicola, Flectobacillus, and Paucibacter. We then applied linear regression to discern which of these core clades are sensitive to an array of different environmental exposures. We found that 200 core clades were insensitive to any exposure we assessed, while 134 core clades were sensitive to more than two exposures. Overall, our analysis defines the zebrafish core gut microbiome and its sensitivity to exposure, which helps future studies to assess the robustness of their results and prioritize taxa for empirical assessments of how gut microbiota mediate the effects of exposure on the zebrafish host.

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