Biology subjects

Pederson, J. W.

Publications and source records attributed to Pederson, J. W..

3 recordsLinked to original sources

bioRxiv2026

Gut Microbiota Alterations and Probiotic Intervention in Asian Elephants (Elephas maximus) with Gastrointestinal Distress

Advances in metagenomic sequencing have transformed our understanding of host-associated microbiota, revealing critical roles in immune regulation, nutrient metabolism, and gastrointestinal (GI) homeostasis. However, the gut microbiome of large non-model species, particularly elephants, remains poorly characterized. Captivity introduces dietary, environmental, and management-related perturbations that may disrupt microbial balance and contribute to GI dysfunction. Here, we performed a longitudinal analysis of the fecal microbiome in five captive Asian elephants (Elephas maximus) at the Oregon Zoo exhibiting chronic fecal abnormalities, including mucus and inconsistent stool formation. Over 14 weeks, weekly fecal samples were collected and compared with samples from clinically normal elephants housed at three other zoological institutions. Using 16S rRNA gene sequencing, we identified marked differences in microbial community composition between affected and control elephants. Dysbiosis in Oregon Zoo elephants was characterized by enrichment of Akkermansia muciniphila and multiple members of the order Clostridiales, including taxa previously associated with gastrointestinal disorders. Administration of a commercially available probiotic formulation was associated with transient improvement in fecal characteristics and pronounced shifts in microbial composition, including a significant post-treatment reduction in overall microbial diversity and decreased abundance of several taxa linked to GI abnormalities. Notably, probiotic strains themselves were not detected, suggesting indirect or short-lived functional effects rather than durable colonization. Together, these findings provide one of the first longitudinal characterizations of gut microbiome dysbiosis in captive Asian elephants and identify candidate microbial contributors to chronic GI dysfunction in captivity, with implications for husbandry, dietary management, and microbiome-informed interventions in megafauna. Additionally, our study underscores the potential, although limited and likely indirect, benefit of probiotics when treating GI disorders in monograstric megavertebrates.

microbiology↗

bioRxiv2023

Transkingdom Network Analysis (TkNA): a systems approach inferring causal factors underlying host-microbiota interactions.

Technological advances have generated tremendous amounts of high-throughput omics data. Integrating data from multiple cohorts and diverse omics types from new and previously published studies can offer a holistic view of a biological system and aid in deciphering its critical players and key mechanisms. In this protocol, we describe how to use Transkingdom Network Analysis (TkNA), a unique causal-inference analytical framework that can perform meta-analysis of cohorts and detect master regulators among measured parameters that govern pathological or physiological responses of host-microbiota (or any multi-omic data) interactions in a particular condition or disease. TkNA first reconstructs the network that represents a statistical model capturing the complex relationships between the different omics of the biological system. Here, it selects differential features and their per-group correlations by identifying robust and reproducible patterns of fold change direction and sign of correlation across several cohorts. Next, a causality-sensitive metric, statistical thresholds, and a set of topological criteria are used to select the final edges that form the transkingdom network. The second part of the analysis involves interrogating the network. Using the networks local and global topology metrics, it detects nodes that are responsible for control of given subnetwork or control of communication between kingdoms and/or subnetworks. The underlying basis of the TkNA approach involves fundamental principles including laws of causality, graph theory and information theory. Hence, TkNA can be used for causal inference via network analysis of any host and/or microbiota multi-omics data. This quick and easy-to-run protocol requires very basic familiarity with the Unix command-line environment.

systems biology↗

bioRxiv2022

Reversing gut microbiome-driven adipose tissue inflammation alleviates metabolic syndrome

The gut microbiota contributes to macrophage-mediated inflammation in adipose tissue with consumption of an obesogenic diet, thus driving the development of metabolic syndrome. There is a need to identify and develop interventions that abrogate this condition. The hops-derived prenylated flavonoid xanthohumol (XN) and its semi-synthetic derivative tetrahydroxanthohumol (TXN) attenuate high-fat diet-induced obesity, hepatosteatosis and metabolic syndrome in C57Bl/6J mice. This coincides with a decrease in pro-inflammatory gene expression in the gut and adipose tissue, together with alterations in the gut microbiota and bile acid composition. In this study, we integrated and interrogated multi-omics data from different organs with fecal 16S sequences and systemic metabolic phenotypic data using a transkingdom network analysis. By incorporating cell type information from single cell RNA-seq data, we discovered TXN attenuates macrophage inflammatory processes in adipose tissue. TXN treatment also reversed levels of inflammation-inducing microbes, such as Oscillibacter valericigenes, that lead to adverse metabolic phenotypes. Furthermore, in vitro validation in macrophage cell lines and in vivo mouse supplementation showed addition of O. valericigenes supernatant induced the expression of metabolic macrophage signature genes that are downregulated by TXN in vivo. Our findings establish an important mechanism by which TXN mitigates adverse phenotypic outcomes from diet-induced obesity and metabolic syndrome. It primarily reduces the abundance of pro-inflammatory gut microbes that can otherwise promote macrophage-associated inflammation in adipose tissue.

systems biology↗