AI Article Synopsis

  • Studies show that anthropogenic changes, like species movement to new environments, can significantly affect the gut microbiomes of animals, especially non-model species.
  • Analysis of the guttural toad's microbiome revealed that newer populations (like the one in Cape Town, around 20 years old) have more distinct microbiomes compared to older populations (around 100 years in Réunion and Mauritius), which exhibit less diversity.
  • This study suggests that the pathways through which these species are introduced may play a crucial role in shaping their gut microbiomes, indicating that a host's microbiome can evolve alongside changing population dynamics.

Article Abstract

Studies of laboratory animals demonstrate extensive variation of host gut microbiomes and their functional capabilities across populations, but how does anthropogenic change impact the microbiomes of non-model species? The anthropogenic movement of species to novel environments can drastically alter animals' microbiomes; however, factors that shape invasive species gut microbiota during introduction remain relatively unexplored. Through 16S amplicon sequencing on guttural toad (Sclerophrys gutturalis) faecal samples, we determine that residence time does not impact microbiome variation between source and introduced populations. The youngest population (~ 20 years in Cape Town) has the most distinct microbiome and associated functional capabilities, whereas longer residence times (~ 100 years in Réunion and Mauritius) produce less divergent microbial compositional, phylogenetic, and predicted functional diversity and differential abundance from source populations (Durban). Additionally, we show extensive variation of microbial and functional diversity, as well as differential abundance patterns in an expanding introduced population (Cape Town) between core and periphery sites. Contrasting previous studies, we suggest that introduction pathways might be an important factor impacting host microbial divergence. These findings also imply that the microbiome can diverge in accordance with host population dynamics.

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Source
http://dx.doi.org/10.1007/s00248-021-01896-4DOI Listing

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