bioRxiv Science⌕ Search

Biology subjects

Button, M.

Publications and source records attributed to Button, M..

2 recordsLinked to original sources

Circadian clock genes Bmal1 and Per2 in the nucleus accumbens are negative regulators of alcohol-drinking behavior in mice.

Voluntary alcohol consumption is influenced by a variety of environmental and genetic factors, including circadian clock genes. Even though their sex-specific role in alcohol drinking was identified through selective ablation of Bmal1 and Per2 from neurons of the mouse striatum, the contribution of specific striatal subregions to the observed drinking behavior remains unclear. Thus, alcohol intake and preference was investigated in male and female mice with a conditional knockout of Bmal1 and Per2 from cells in the nucleus accumbens (Nac). Mood- and anxiety-related behaviors were assessed prior to alcohol drinking to exclude potential confounding effects of the animals behavioral state on alcohol consumption. Alcohol consumption and preference were increased in male and female mice with a conditional knockout of Bmal1, whereas the same effect was only found in males with a deletion of Per2. Because affective behaviors were only mildly influenced by the conditional gene knockouts, observed alcohol-drinking phenotypes can be directly associated with the Nac-specific clock gene deletion. The results thus suggest an inhibitory role of Bmal1 and Per2 in the Nac on alcohol consumption in male mice. In females, the inhibitory effect of Bmal1 is strictly localized to the Nac, because striatal-wide deletion of Bmal1 caused a suppression of alcohol consumption. This sex-dependent stimulatory effect of Bmal1 on alcohol drinking is probably mediated through other striatal subregions such as the dorsal striatum.

neuroscience↗

Microbial biogeography of 1,000 geothermal springs in New Zealand

Geothermal springs are model ecosystems to systematically investigate microbial biogeography as they i) represent discrete, homogenous habitats; ii) are abundantly distributed across multiple geographical scales; iii) span broad geochemical gradients; and iv) have simple community structures with reduced metazoan interactions. Taking advantage of these traits, we undertook the largest known consolidated study of geothermal ecosystems (http://1000springs.org.nz) to determine factors that influence biogeographical patterns. Rigorously standardised methodologies were used to measure microbial communities, 46 physicochemical parameters, and metadata from 1,019 hotspring samples across New Zealand. pH was found to be the primary influence on diversity in springs < 70 {degrees}C with community similarity decreasing with geographic distance. Surprisingly, community composition was dominated by two genera (Venenivibrio and Acidithiobacillus) in both average relative abundance (11.2 and 11.1 %) and prevalence (74.2 and 62.9 % respectively) across physicochemical spectrums of 13.9 - 100.6 {degrees}C and pH < 1 - 9.7. This study provides an unprecedented insight into the ecological conditions that drive community assembly in geothermal springs, and can be used as a foundation to improve the characterisation of global microbial biogeographical processes.

microbiology↗