Social insects live in cooperative colonies, often in high densities and with closely related individuals, and interact using social contact behaviours. Compared to solitary insects, social insects have evolved multi-level immunity that includes immune responses common to holometabolous insects, and social immunity, which is exclusive to social taxa. This suggests that social insects may be subject to high pathogen pressure, yet relatively little is known about the range of symbiotic and pathogenic microbial communities that associate with social insects. In this study we examined transcriptome data generated from the ant Formica exsecta for sequences identifying as microbes (or other organisms potentially of non-ant origin). Sequences showing homology to two viruses and several other potentially or obligate intracellular organisms, such as Wolbachia, Arsenophonus, Entomoplasmatales and Microsporidia, were present in the transcriptome data. These homologous sequence matches correspond to genera/species that have previously been associated with a variety of insects, including social insects. There were also sequences with identity to several other microbes such as common moulds and soil bacteria. We conclude that this sequence data provides a starting point for a deeper understanding of the biological interactions between a species of ant and the micro- and macrobiotic communities that it potentially encounters.
Microbes are ubiquitous and often occur in functionally and taxonomically complex communities. Unveiling these community dynamics is one of the main challenges of microbial research. Combining a robust, cost effective and widely used method such as Terminal Restriction Fragment Length Polymorphism (T-RFLP) with a Next Generation Sequencing (NGS) method (Illumina MiSeq), offers a solid alternative for comprehensive assessment of microbial communities. Here, these two methods were combined in a study of complex bacterial and fungal communities in the nest mounds of the ant Formica exsecta, with the aim to assess the degree to which these methods can be used to complement each other. The results show that these methodologies capture similar spatiotemporal variations, as well as corresponding functional and taxonomical detail, of the microbial communities in a challenging medium consisting of soil, decomposing plant litter and an insect inhabitant. Both methods are suitable for the analysis of complex environmental microbial communities, but when combined, they complement each other well and can provide even more robust results. T-RFLP can be trusted to show similar general community patterns as Illumina MiSeq and remains a good option if resources for NGS methods are lacking.
Biotic and abiotic characteristics shape the microbial communities in the soil environment. Manipulation of soil, performed by ants when constructing their nests, radically changes the soil characteristics and creates a unique environment, which differs in its composition, frequency and abundance of microbial taxa, from those in the reference soils. We sampled nests of the moundbuilding ant Formica exsecta, and the surrounding reference soils over a three-month period, and generated NGS (Illumina MiSeq), and T-RFLP data of the bacterial and fungal communities. We used ordination techniques and network analysis to disclose the community structure, and we assessed the variation in diversity, evenness and enrichment of taxa between the two environments. We also used indicator analysis to identify the potential core microbiome of the nests. Our results show that the bacterial and fungal communities, in the rigorously curated nest environment, are significantly different from those in the reference soils, in terms of community structure and enrichment of characteristic indicator taxa. We demonstrate that the nests represent a niche, where microbial species can adapt and diverge from the communities in the surrounding soils. Our findings contribute to our understanding of the composition and function of microbiomes in fragmented habitats.
In a subarctic climate, the seasonal shifts in temperature, precipitation, and plant cover drive the temporal changes in the microbial communities in the topsoil, forcing soil microbes to adapt or decline. Many organisms, such as mound‐building ants, survive the cold winter owing to the favorable microclimate in their nest mounds. We have previously shown that the microbial communities in the nest of the ant Formica exsecta are significantly different from those in the surrounding bulk soil. In the current study, we identified taxa, which were consistently present in the nests over a study period of three years. Some taxa were also significantly enriched in the nest samples compared with spatially corresponding reference soils. We show that the bacterial communities in ant nests are temporally stable across years, whereas the fungal communities show greater variation. It seems that the activities of the ants contribute to unique biochemical processes in the secluded nest environment, and create opportunities for symbiotic interactions between the ants and the microbes. Over time, the microbial communities may come to diverge, due to drift and selection, especially given the long lifespan (up to 30 years) of the ant colonies.
In this study, we investigated the bacterial and fungal microbiomes of the ant Formica exsecta (Hymenoptera, Formicidae), and assessed whether the microbial communities inside the ants differ from those in their nest material. Furthermore, we investigated whether the microbial communities inside the ants are conserved across time. To achieve this, we sequenced the bacterial 16S rRNA, and the fungal ITS region in entire adult worker ants and their nest material by Illumina MiSeq. We found that both the bacterial, and the fungal microbiomes form communities discrete from those in the surrounding nest material. In addition to the differences in species composition, we also found that bacterial species diversity, species richness, ζ diversity, and evenness were lower in ants than in the nest material. For fungi, only species richness was lower in the ants than in the nest material. The rate of within‐colony species turnover across sampling events was not statistically significant for bacteria, but highly significant for fungi. This suggests that the fungal communities in the ants are less stable than the bacterial ones. Four bacterial taxa (Alphaproteobacteria, Proteobacteria, Staphylococcus, and Streptococcus), and two fungal taxa (Davidiella and Cryptococcus) formed a core microbiome, being consistently present and more abundant in the ants, but absent in the nest material. In all other cases differences in community composition and structure were due to taxa that were more consistently present and more abundant in the nest material, and frequently absent in the ants. Furthermore, we found 36 unique OTUs identified as Proteobacteria, and 82 unique OTUs identified as Alphaproteobacteria in the ants, representing 2.5% and 5.8% of all bacterial OTUs and 24.6% and 41% of the total number of bacterial sequences. This suggests that F. exsecta harbours a considerable bacterial diversity that so far remains unexplored.
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