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1. Taxonomic, Genomic, and Functional Variation in the Gut Microbiomes of Wild Spotted Hyenas Across 2 Decades of Study

   https://doi.org/10.1128/msystems.00965-22  

   Rojas, Connie A. ; Holekamp, Kay E. ; Viladomat Jasso, Mariette ; Souza, Valeria ; Eisen, Jonathan A. ; Theis, Kevin R. ( January 2022 , mSystems)

   Hird, Sarah M. (Ed.)

   The gut microbiome provides vital functions for mammalian hosts, yet research on its variability and function across adult life spans and multiple generations is limited in large mammalian carnivores. Here, we used 16S rRNA gene and metagenomic high-throughput sequencing to profile the bacterial taxonomic composition, genomic diversity, and metabolic function of fecal samples collected from 12 wild spotted hyenas ( Crocuta crocuta ) residing in the Masai Mara National Reserve, Kenya, over a 23-year period spanning three generations. The metagenomic data came from four of these hyenas and spanned two 2-year periods. With these data, we determined the extent to which host factors predicted variation in the gut microbiome and identified the core microbes present in the guts of hyenas. We also investigated novel genomic diversity in the mammalian gut by reporting the first metagenome-assembled genomes (MAGs) for hyenas. We found that gut microbiome taxonomic composition varied temporally, but despite this, a core set of 14 bacterial genera were identified. The strongest predictors of the microbiome were host identity and age, suggesting that hyenas possess individualized microbiomes and that these may change with age during adulthood. The gut microbiome functional profiles of the four adult hyenas were also individual specific and were associated with prey abundance, indicating that the functions of the gut microbiome vary with host diet. We recovered 149 high-quality MAGs from the hyenas’ guts; some MAGs were classified as taxa previously reported for other carnivores, but many were novel and lacked species-level matches to genomes in existing reference databases. IMPORTANCE There is a gap in knowledge regarding the genomic diversity and variation of the gut microbiome across a host’s life span and across multiple generations of hosts in wild mammals. Using two types of sequencing approaches, we found that although gut microbiomes were individualized and temporally variable among hyenas, they correlated similarly to large-scale changes in the ecological conditions experienced by their hosts. We also recovered 149 high-quality MAGs from the hyena gut, greatly expanding the microbial genome repertoire known for hyenas, carnivores, and wild mammals in general. Some MAGs came from genera abundant in the gastrointestinal tracts of canid species and other carnivores, but over 80% of MAGs were novel and from species not previously represented in genome databases. Collectively, our novel body of work illustrates the importance of surveying the gut microbiome of nonmodel wild hosts, using multiple sequencing methods and computational approaches and at distinct scales of analysis. 

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2. Model-based and phylogenetically adjusted quantification of metabolic interaction between microbial species

   https://doi.org/10.1371/journal.pcbi.1007951  

   Lam, Tony J. ; Stamboulian, Moses ; Han, Wontack ; Ye, Yuzhen ( October 2020 , PLOS Computational Biology)

   Ouzounis, Christos A. (Ed.)

   Microbial community members exhibit various forms of interactions. Taking advantage of the increasing availability of microbiome data, many computational approaches have been developed to infer bacterial interactions from the co-occurrence of microbes across diverse microbial communities. Additionally, the introduction of genome-scale metabolic models have also enabled the inference of cooperative and competitive metabolic interactions between bacterial species. By nature, phylogenetically similar microbial species are more likely to share common functional profiles or biological pathways due to their genomic similarity. Without properly factoring out the phylogenetic relationship, any estimation of the competition and cooperation between species based on functional/pathway profiles may bias downstream applications. To address these challenges, we developed a novel approach for estimating the competition and complementarity indices for a pair of microbial species, adjusted by their phylogenetic distance. An automated pipeline, PhyloMint, was implemented to construct competition and complementarity indices from genome scale metabolic models derived from microbial genomes. Application of our pipeline to 2,815 human-gut associated bacteria showed high correlation between phylogenetic distance and metabolic competition/cooperation indices among bacteria. Using a discretization approach, we were able to detect pairs of bacterial species with cooperation scores significantly higher than the average pairs of bacterial species with similar phylogenetic distances. A network community analysis of high metabolic cooperation but low competition reveals distinct modules of bacterial interactions. Our results suggest that niche differentiation plays a dominant role in microbial interactions, while habitat filtering also plays a role among certain clades of bacterial species. 

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3. An examination of the use of antibiotics as a method to experimentally perturb the microbiota of suspension‐feeding bivalves

   https://doi.org/10.1111/ivb.12352  

   Griffin, Tyler W. ; Pierce, Melissa L. ; Nigro, Lisa M. ; Holohan, Bridget A. ; Ward, J. Evan ( November 2021 , Invertebrate Biology)

   Suspension‐feeding bivalves are critical members of aquatic ecosystems worldwide, which is why research into their host‐associated microbiota is growing. Experiments that artificially diminish the native microbial communities of bivalvesin vivowill be increasingly necessary to evaluate the functional role of microbes within their hosts. Previous methods to manipulate the microbiome of bivalves lack standardization and, often, verification of successful disturbance. The goal of this study was to evaluate antibiotic administration as a method for perturbing the gut microbiome of bivalves in two separate, but related, experiments. In the first, a mixture of antibiotics was delivered to eastern oysters for 4 days to probe effects on gut microbial carbon usage, diversity, and taxonomic composition. In the second, the same antibiotic mixture was administered to blue mussels for 21 days to probe effects on microbial abundance, diversity, and taxonomic composition. In both experiments, animals were administered antibiotics in isolation, and stringent sterilization methods were employed, which included sterilized seawater and microalgal food. The results of the oyster experiment revealed that antibiotics substantially reduced microbial carbon usage and perturbed community composition. In the mussel experiment, antibiotics lowered microbial abundance and species richness and significantly altered community composition. Taken together, results from the two experiments demonstrate that antibiotics can be used to effectively alter the function and composition of the gut microbial community of bivalves. Future research that aims to perturb the microbiomes of suspension‐feeding animals should incorporate aspects similar to the protocols described herein. Additionally, future studies must include verification, ideally high‐throughput DNA sequencing coupled with microbial quantification, that the antibiotic perturbation was successful.

    

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4. Minimal overall divergence of the gut microbiome in an adaptive radiation of Cyprinodon pupfishes despite potential adaptive enrichment for scale-eating

   https://doi.org/10.1371/journal.pone.0273177  

   Heras, Joseph ; Martin, Christopher H. ( September 2022 , PLOS ONE)

   Meyer, Axel (Ed.)

   Adaptive radiations offer an excellent opportunity to understand the eco-evolutionary dynamics of gut microbiota and host niche specialization. In a laboratory common garden, we compared the gut microbiota of two novel derived trophic specialist pupfishes, a scale-eater and a molluscivore, to closely related and distant outgroup generalist populations, spanning both rapid trophic evolution within 10 kya and stable generalist diets persisting over 11 Mya. We predicted an adaptive and highly divergent microbiome composition in the trophic specialists reflecting their rapid rates of craniofacial and behavioral diversification. We sequenced 16S rRNA amplicons of gut microbiomes from lab-reared adult pupfishes raised under identical conditions and fed the same high protein diet. In contrast to our predictions, gut microbiota largely reflected phylogenetic distance among species, rather than generalist or specialist life history, in support of phylosymbiosis. However, we did find significant enrichment of Burkholderiaceae bacteria in replicated lab-reared scale-eater populations. These bacteria sometimes digest collagen, the major component of fish scales, supporting an adaptive shift. We also found some enrichment of Rhodobacteraceae and Planctomycetia in lab-reared molluscivore populations, but these bacteria target cellulose. Overall phylogenetic conservation of microbiome composition contrasts with predictions of adaptive radiation theory and observations of rapid diversification in all other trophic traits in these hosts, including craniofacial morphology, foraging behavior, aggression, and gene expression, suggesting that the functional role of these minor shifts in microbiota will be important for understanding the role of the microbiome in trophic diversification. 

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5. Strain Structure and Dynamics Revealed by Targeted Deep Sequencing of the Honey Bee Gut Microbiome

   https://doi.org/10.1128/mSphere.00694-20  

   Bobay, Louis-Marie ; Wissel, Emily F. ; Raymann, Kasie ( August 2020 , mSphere)

   Campbell, Barbara J. (Ed.)

   ABSTRACT Host-associated microbiomes can be critical for the health and proper development of animals and plants. The answers to many fundamental questions regarding the modes of acquisition and microevolution of microbiome communities remain to be established. Deciphering strain-level dynamics is essential to fully understand how microbial communities evolve, but the forces shaping the strain-level dynamics of microbial communities remain largely unexplored, mostly because of methodological issues and cost. Here, we used targeted strain-level deep sequencing to uncover the strain dynamics within a host-associated microbial community using the honey bee gut microbiome as a model system. Our results revealed that amplicon sequencing of conserved protein-coding gene regions using species-specific primers is a cost-effective and accurate method for exploring strain-level diversity. In fact, using this method we were able to confirm strain-level results that have been obtained from whole-genome shotgun sequencing of the honey bee gut microbiome but with a much higher resolution. Importantly, our deep sequencing approach allowed us to explore the impact of low-frequency strains (i.e., cryptic strains) on microbiome dynamics. Results show that cryptic strain diversity is not responsible for the observed variations in microbiome composition across bees. Altogether, the findings revealed new fundamental insights regarding strain dynamics of host-associated microbiomes. IMPORTANCE The factors driving fine-scale composition and dynamics of gut microbial communities are poorly understood. In this study, we used metagenomic amplicon deep sequencing to decipher the strain dynamics of two key members of the honey bee gut microbiome. Using this high-throughput and cost-effective approach, we were able to confirm results from previous large-scale whole-genome shotgun (WGS) metagenomic sequencing studies while also gaining additional insights into the community dynamics of two core members of the honey bee gut microbiome. Moreover, we were able to show that cryptic strains are not responsible for the observed variations in microbiome composition across bees. 

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