Publications by authors named "Andrew Habrich"

Road networks and human density are major factors contributing to habitat fragmentation and loss, isolation of wildlife populations, and reduced genetic diversity. Terrestrial mammals are particularly sensitive to road networks and encroachment by human populations. However, there are limited assessments of the impacts of road networks and human density on population-specific nuclear genetic diversity, and it remains unclear how these impacts are modulated by life-history traits.

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Article Synopsis
  • The human gut microbiota significantly influences metabolism, interacting closely with its host's genetics, diet, and lifestyle.
  • The composition of gut microbial communities provides additional metabolic functions and helps regulate hormonal and cellular signals for adapting to various changes.
  • Imbalances in these microbial communities, known as dysbiosis, can lead to metabolic diseases like obesity, diabetes, and atherosclerosis, as well as affecting outcomes from bariatric surgery and exercise.
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The priming effect of rewards is a boost in the vigor of reward seeking resulting from the previous receipt of a reward. Extensive work has been carried out on the priming effect of electrical brain stimulation, but much less research exists on the priming effect of natural rewards, such as food. While both reinforcement and motivation are linked with dopamine transmission in the brain, the priming effect of rewards does not appear to be dopamine-dependent.

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Population genetic data from nuclear DNA has yet to be synthesized to allow broad scale comparisons of intraspecific diversity versus species diversity. The MacroPopGen database collates and geo-references vertebrate population genetic data across the Americas from 1,308 nuclear microsatellite DNA studies, 897 species, and 9,090 genetically distinct populations where genetic differentiation (F) was measured. Caribbean populations were particularly distinguished from North, Central, and South American populations, in having higher differentiation (F = 0.

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