Search bioRxiv⌕ Search

Biology subjects

Lipowska, M.

Publications and source records attributed to Lipowska, M..

3 recordsLinked to original sources

Selection for high metabolic rate reduces gut microbiota responsiveness to dietary restriction in bank voles

Host-microbiota interactions are crucial in adapting to environmental changes, such as fluctuating energy availability. Yet, the extent to which hosts and their microbiota exhibit coordinated plasticity in response to transient energy limitation remains unclear. Here, we examined the capacity for parallel reversible plasticity in hosts and gut microbiota to temporary dietary restriction in hosts with differing energy needs. We subjected bank voles (Clethrionomys glareolus) from a long-term artificial selection experiment for high aerobic metabolism (A-lines) and control lines (C-lines) to dietary restriction (food dilution with insoluble fiber) followed by a recovery period. We measured traits relevant for vole energy consumption and fecal microbiota composition at baseline, after dietary restriction, and after recovery. We hypothesized that A-line voles would experience more severe and prolonged physiological effects of dietary restriction than C-line voles, which might be counteracted by higher microbiota responsiveness. Dietary restriction caused a temporary increase in food consumption, decrease in body mass and resting metabolic rate, and significant shifts in gut microbiota composition, all of which returned to near baseline levels during the recovery period. These effects were largely similar for the selection lines, but contrary to our prediction, the effect of dietary restriction on bacterial diversity was stronger in C-lines. This suggests higher resistance of the A-line microbiota to dietary changes, perhaps resulting from increased host control over microbial communities due to the directional selection for high metabolic capacity. Overall, our findings highlight a substantial capacity for reversible plasticity in host physiology and gut microbiota in fluctuating environments.

evolutionary biology↗

Impact of air pollution on Neurite Orientation Dispersion and Density metrics (NODDI) in 10-13-year-old children with and without ADHD diagnosis

Air pollution is a significant risk factor for adverse neurodevelopmental outcomes in children. While studies have linked pollutants to changes in brain structure, specific effects on white matter microstructure remain inconclusive. Neurite Orientation Dispersion and Density Imaging (NODDI) provide two nuanced, separate white matter measures that serve as proxies for neurite density and cell-body organization. We used NODDI to examine potential associations between prenatal, early life and current exposure to nitrogen dioxide (NO2) and particulate matter with diameter < 10 micrometers (PM10) and white matter microstructure in school-aged children. We also explored whether ADHD diagnosis moderated these associations. We observed several negative associations between both NO2 and PM10 exposure and neurite density across various white-matter fibers and exposure windows, but none of the associations were statistically significant after correcting for multiple comparisons. In this analysis, we did not find any statistically significant associations between long-term exposure to PM10 and NO2 and white matter microstructural integrity as measured by NODDI. Our results highlight the challenge of detecting modest environmental impacts on the brain and underscore the need for larger, more targeted studies to confirm these preliminary trends.

neuroscience↗

A new tool in a toolbox: Addressing challenges in high-throughput microbiota surveys across diverse wild insects

With their significant effects on the biology of higher organisms, host-associated microbiota has attracted the research communitys attention. The rapid progress in sequencing techniques has greatly facilitated microbial community characterization. However, the most popular surveying technique, marker gene amplicon sequencing, has multiple caveats that are not often addressed satisfactorily, including the uncertainty about the identity of the surveyed wild-caught specimens, variable and sometimes very low abundance of microbes in some samples, or reagent- and cross-contamination. As a result, researchers often obtain incomplete, biased, and sometimes totally incorrect microbial community profiles. Here, we present a versatile, cost-effective, and high-throughput quantitative multi-target amplicon sequencing workflow for the characterization of host-associated microbial communities, combining laboratory and bioinformatic steps and addressing most of the known methodological issues. Optimized for the study of the microbiota of wild insects, it can be easily adapted for other sample types. Outputs include contamination-controlled data on the absolute abundance and identity of microbes present in insect samples, both at genotype- and OTU-level, as well as host barcodes alongside information on parasite infections. Using 1384 samples from Zackenberg Valley, NE Greenland, we demonstrate the potential of the workflow to study insect and symbiont diversity patterns across a large portion of a diverse natural community.

ecology↗