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Bastiaanssen, T. F. S.

Publications and source records attributed to Bastiaanssen, T. F. S..

2 recordsLinked to original sources

The South American MicroBiome Archive (saMBA): Enriching the healthy microbiome concept by evaluating uniqueness and biodiversity of neglected populations

The composition and function of the human gut microbiome has been linked to multiple health outcomes across all world regions, often with region-specific associations. Unfortunately, the extent to which microbiomes from different populations are characterised is limited by their economic resources. Over 70% of the sequenced human microbiomes come from analyses of European and North American populations, skewing our understanding by focusing excessively on just 15% of the global population. Thus, entire continents rely on results from research conducted in wealthier countries whose main findings are unlikely to generalize across other world regions. Moreover, statistical models perform poorly when applied to minorities, a blind spot with serious consequences in biomedicine, and which can only be addressed by analysing microbiome data from currently neglected areas. To address this problem, we created saMBA-- the largest archive of gut microbiomes from South America, one of the worlds most biodiverse regions in terms of the gut microbiome of its inhabitants, yet the one with the fewest samples. saMBA includes 33 gut microbiome studies, [~]73% of which were incorporated in a microbiome archive for the first time. By leveraging this resource, we uncovered a high biodiversity within --and uniqueness between-- gut microbiomes across the continent, expanding the concept of the healthy microbiome to be more globally representative. Additionally, our results highlight that the gut microbiome biodiversity of this region remains far from fully characterized. We demonstrate how saMBA can guide new sampling efforts to better capture this diversity. Finally, the code deployed to build saMBA is compatible with that of a previous global compendium and is openly available to researchers from other underrepresented regions, fostering the inclusion of other neglected populations to accelerate microbiome research globally.

bioinformatics↗

Kronos: A computational tool to facilitate biological rhythmicity analysis

MotivationCircadian rhythms, or 24-hour biological cycles, are key in maintaining health in almost all living organisms and synchronize important physiological and behavioural processes daily. Interest in circadian rhythm research is expanding as our urban environments have increased exposure to factors that can disrupt the normal physiological rhythm of our body, such as delayed bedtimes, shift work, jet-lag, increased screen-time, and exposure to artificial light. Discovering how oscillatory signals respond to both external and internal factors can lead to important biological breakthroughs, but assessing rhythmicity can be both limited by the complexity of statistical models and demanding in terms of coding and statistical expertise. ImplementationHere, we describe the development of a novel easy-to-use R-based tool, Kronos, to assess circadian rhythms in biological data sets. Kronos provides the user with new functionalities not currently available, including the analysis of two or more groups in complex study designs, handling both independent and repeated-measures data, as well as ranging from single variables to high dimensional omics data sets. Kronos is a novel tool to facilitate the analysis of rhythmicity in simple and complex experimental designs and enables researchers from diverse scientific fields to interrogate rhythmicity. Availabilityhttps://github.com/thomazbastiaanssen/kronos

bioinformatics↗