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Härer, A.

Publications and source records attributed to Härer, A..

2 recordsLinked to original sources

Validity of fecal sampling for characterizing temporal variation in threespine stickleback's gut microbiota

Diverse microbial communities associated with the guts of their hosts are crucial for many aspects of their hosts physiology, ecology, and evolution. The gut microbiota has been characterized for a broad range of species across the animal kingdom. Yet, for many host species we still dont have a good understanding of whether non-lethal sampling (e.g., fecal matter) can accurately capture the diversity of gut-associated bacterial communities, as estimated from lethal sampling of intestinal tissue. We further lack knowledge on whether such non-lethal sampling methods are suitable for studying temporal gut microbiota dynamics. Here, we addressed these questions in threespine stickleback fish, a model system in evolutionary ecology, by comparing bacterial communities based on 16S rRNA gene sequencing from intestinal tissue and feces. Despite some differences in community composition between the two sample types, we show that bacterial communities of feces and intestinal tissue largely overlap. Further, we were able to detect consistent and significant changes of fecal bacterial communities associated with an experimental diet shift. These results suggest that fecal sampling represents an adequate non-lethal method to characterize the gut microbiota of threespine stickleback. This allows for studying temporal gut microbiota dynamics at the individual level, which increases opportunities for future experimental gut microbiota research.

evolutionary biology↗

Quantifying (non)parallelism of gut microbial community change using multivariate vector analysis

Parallel evolution of phenotypic traits is regarded as strong evidence for natural selection and has been studied extensively in a variety of taxa. However, we have limited knowledge of whether parallel evolution of host organisms is accompanied by parallel changes of their associated microbial communities (i.e., microbiotas), which are crucial for their hosts ecology and evolution. Determining the extent of microbiota parallelism in nature can improve our ability to identify the factors that are associated with (putatively adaptive) shifts in microbial communities. While it has been emphasized that (non)parallel evolution is better considered as a quantitative continuum rather than a binary phenomenon, quantitative approaches have rarely been used to study microbiota parallelism. We advocate using multivariate vector analysis (i.e., phenotypic change vector analysis) to quantify direction and magnitude of microbiota changes and discuss the applicability of this approach for studying parallelism. We exemplify its use by reanalyzing gut microbiota data from multiple fish species that exhibit parallel shifts in trophic ecology. This approach provides an analytical framework for quantitative comparisons across host lineages, thereby providing the potential to advance our capacity to predict microbiota changes. Hence, we emphasize that the development and application of quantitative measures, such as multivariate vector analysis, should be further explored in microbiota research in order to better understand the role of microbiota dynamics during their hosts adaptive evolution, particularly in settings of parallel evolution.

evolutionary biology↗