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Vargas-Gastelum, L.

Publications and source records attributed to Vargas-Gastelum, L..

3 recordsLinked to original sources

Effects of environmental setting and diet on the gut microbial ecology of eastern hellbenders (Cryptobranchus alleganiensis alleganiensis)

BackgroundEastern hellbenders (Cryptobranchus alleganiensis alleganiensis) have undergone substantial population declines throughout their range, leading them to become the focus of increased conservation efforts, including care in zoo and university settings. However, effective implementation of such conservation strategies often relies on a comprehensive understanding of host health, which can be directly influenced by the gut microbiome, yet characterization of gut microbiota often remains overlooked in ex situ conservation facilities. Additionally, effects on the gut microbiome associated with releasing zoo-reared animals into the wild are poorly understood. Therefore, these circumstances make hellbenders an ideal species to examine the relationship between zoo management strategies and gut microbial dynamics. Methods16S rRNA sequencing was used to investigate dissimilarities between the gut microbiome of hellbenders in zoo and wild settings and to evaluate the impact of implementing a wild diet in zoo-reared hellbenders. Additionally, the bacterial composition of zoo-released individuals and wild resident hellbenders was compared to examine the response of the gut microbiome upon release into natural habitat. Selected samples were also chosen for ITS1 rDNA sequencing as a preliminary investigation of the hellbender gut mycobiome. ResultsHuman rearing strongly affected the gut microbiome, leading to reduced bacterial richness as well as differing community structure than wild hellbenders. However, implementation of a wild diet in a zoo setting modulated the microbiome and appeared to be mainly driven by bacterial turnover. Additionally, both bacterial and fungal gut assemblages demonstrated the capacity for restructuring upon release into native habitat to become more reflective of a wild-type microbiome. ConclusionsWe completed the first study elucidating the gut microbial composition patterns of hellbenders, across both zoo and wild settings. These results provide an understanding of the potential impacts of conservation populations in zoos on gut microbial communities and also inform headstart programs of the transition of the gut microbiome post-reintroduction to the wild.

microbiology↗

Skin lipid chemistry influences host-microbiome-pathogen interactions in snake fungal disease (ophidiomycosis)

Within host-microbiome-pathogen systems, the host chemical microenvironment is often overlooked despite its inherent role in host physiology. We used a multifaceted experimental approach encompassing culture-dependent and independent methods, metagenomic and genomic data, and deep neural network modeling to assess the impact of host skin lipid chemistry and the bacterial microbiome on the growth of Ophidiomyces ophidiicola (ophidiomycosis, snake fungal disease). Results suggest that host skin lipid chemistry (e.g., oleic acid, squalene) and bacteria isolated from wild snake skins (e.g., Chryseobacterium sp. and Stenotrophomonas maltophilia) suppress O. ophidiicola growth. Notably, the O. ophidiicola genome contains biosynthetic gene clusters (BGCs) that encode metabolites that may suppress host lipid production, facilitating fungal pathogenicity. The contrastive deep neural network produced a near-perfect alignment of snake skin lipid and microbiome profiles for both individual snakes and disease states. BGCs from bacterial genomes isolated from snake skin overlap with metagenome profiles from wild snakes and correlate with disease state. We highlight antifungal activity found in the diverse lipid milieu of snake skin and bacterial-fungal interactions (BFIs) that structure the skin microbiome. Our results illustrate a strong relationship among a fungal pathogen, the microbiome, and host skin lipid chemistry.

microbiology↗

Absolute abundance unveils Basidiobolus as a cross-domain bridge indirectly bolstering gut microbiome homeostasis

The host microbiome is integral to metabolism, immune function, and resilience against pathogens. However, reliance on relative abundance (RA) to estimate host-associated microbiomes introduces compositional biases, while limited tools for absolute abundance (AA) quantification hinder broader applications. To address these challenges, we developed DspikeIn (https://github.com/mghotbi/DspikeIn), an R package paired with a versatile wet-lab methodology for AA quantification. Using RA and AA to compare core microbiome distributions across herpetofauna orders and their natural histories revealed starkly distinct results, driven by aggregate effects, including inherited compositional biases in RA and additional multifactorial influences. Focusing on two closely related Desmognathus species demonstrated that AA quantification enhanced resolution in differential abundance analyses and minimized false discovery rates (FDR) when identifying enriched taxa in their gut microbiomes. Keystone taxa identified through network associations also differed between RA and AA data. For example, Lactococcus and Cetobacterium were core members in Anura and Caudata, while Basidiobolus and Mortierella were core to Chelonia and Squamata, facilitating host adaptation to diverse environments, insights undetectable with RA data. AA-based network analysis further revealed that removing the Basidiobolus subnetwork increased negative interactions, highlighting its role in promoting gut homeostasis through cross-domain connectivity. Despite low redundancy, the Basidiobolus node exhibited high betweenness, efficiency, and degree, serving as a critical bridge linking disconnected nodes or modules and indirectly supporting microbiome stability, consistent with Burts structural hole theory. DspikeIn represents a transformative tool for microbiome research, enabling the transition from RA to AA quantification and delivering more accurate, consistent, and comparable results across studies. Graphical abstract DspikeIn cheatsheet O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=156 SRC="FIGDIR/small/630554v1_ufig1.gif" ALT="Figure 1"> View larger version (65K): org.highwire.dtl.DTLVardef@150900forg.highwire.dtl.DTLVardef@21cd90org.highwire.dtl.DTLVardef@13ead1borg.highwire.dtl.DTLVardef@1d6fa84_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗