Biology subjects

Welch, T. J.

Publications and source records attributed to Welch, T. J..

5 recordsLinked to original sources

bioRxiv2026

Succession and Shifting Identities in Freshwater, Built Environment Biofilm Communities

Biofilms on aquaculture infrastructure harbor diverse microbial communities that may influence water quality and fish health, yet the temporal dynamics of these communities remain poorly characterized. Here, we used 16S rRNA gene amplicon sequencing to profile biofilm communities on concrete raceway surfaces across an 80-day rainbow trout (Oncorhynchus mykiss) indoor hatch-house production period. One hundred twenty-three wall swab samples from 19 raceways at six time points (9, 23, 38, 53, 65, and 80 days) were analyzed after stringent quality control. Beta diversity analyses revealed that biofilm communities at each time point were significantly distinct (PERMANOVA, p < 0.001 for all pairwise comparisons), with early communities exhibiting greater variability than late-stage biofilms. Total bacterial load increased approximately 2.5-fold from early to late stages (qPCR, p < 0.001). Differential abundance testing (ANCOM-BC) identified 57 differentially abundant genera between early-and late-stage biofilms, and random forest classification distinguished early from late communities with over 93% test accuracy. A clear successional trajectory emerged: early biofilms were dominated by pioneer taxa including Pseudomonas, Caulobacter, and Flavobacterium; mid-succession communities featured predatory Bdellovibrio and the methylotroph Methylotenera; and mature biofilms were enriched in saprophytic Saprospiraceae and Haliscomenobacter, polysaccharide-degrading Verrucomicrobiaceae, and cooperative predatory myxobacteria. Flavobacterium columnare, a pathogen of concern in aquaculture, was detected at low levels throughout the production period. These results demonstrate predictable ecological succession in freshwater built environment biofilms and provide a foundation for understanding the role of surface-associated microbial communities in hatchery management.

microbiology↗

bioRxiv2024

Understanding the Transfer and Persistence of Antimicrobial Resistance in Aquaculture Using a Model Teleost Gut System

The development, progression, and dissemination of antimicrobial resistance (AMR) is determined by interlinked human, animal, and environmental drivers, posing severe risks to human health. Conjugative plasmid transfer drives the rapid dissemination of AMR among bacteria. Besides antibiotic judicious use and implementation of antibiotic stewardship programs, mitigating antibiotic resistance spread requires an understanding of the dynamics of AMR transfer among microbial communities, as well as the role of various microbial taxa as potential reservoirs that promote long term AMR persistence. Here, we employed Hi-C, a high-throughput, culture-free technique, combined with qPCR, to monitor carriage and transfer of a multidrug-resistant plasmid within an Atlantic salmon in vitro gut model during florfenicol treatment, a benzenesulfonyl antibiotic widely deployed in fin-fish aquaculture. Microbial communities from the pyloric ceaca of three healthy adult farmed salmon were inoculated into three bioreactors developed for the SalmoSim gut system. The model system was then inoculated with an Escherichia coli strain ATCC 25922 carrying plasmid pM07-1 and treated with florfenicol at a concentration of 150 mg/L fish feed media for five days prior to a washout/recovery phase. Hi-C and metagenomic sequencing identified numerous transfer events, including to gram-negative and gram-positive taxa and, crucially, continuing transfer and persistence of the plasmid once florfenicol treatment had been withdrawn. Our findings highlight the role of commensal teleost gut flora as a reservoir for AMR, and our system provides a model to study how different treatment regimes and interventions may be deployed to mitigate AMR persistence.

microbiology↗

bioRxiv2022

Large-Scale, Multi-Year Microbial Community Survey of a Freshwater Trout Aquaculture Facility

Aquaculture is an important tool for solving growing worldwide food demand, but infectious diseases of the farmed animals represent a serious roadblock to continued industry growth. Therefore, it is essential to understand the microbial communities that reside within the built environments of aquaculture facilities to identify reservoirs of bacterial pathogens and potential correlations between commensal species and specific disease agents. Here, we present the results from three years of sampling a commercial rainbow trout aquaculture facility. The sampling was focused on the early-life stage hatchery building and included sampling of the facility source water and outdoor production raceways. We observed that the microbial communities residing on the abiotic surfaces within the hatchery were distinct from those residing on the surfaces of the facility water source as well as the production raceways, despite similar communities in the water column at each location. Within the hatchery building, most of the microbial classes and families within surface biofilms were also present within the water column, suggesting that these biofilms are seeded by a unique subgroup of microbial taxa from the water. Lastly, we detected a common fish pathogen, Flavobacterium columnare, within the hatchery, including at the source water inlet. Importantly, the relative abundance of this pathogen was correlated with clinical disease. Our results characterized the microbial communities in an aquaculture facility, established that the hatchery environment contains a unique community composition, and demonstrated that a specific fish pathogen resides within abiotic surface biofilms and is seeded from the natural source water. ImportanceThe complex microbial consortium residing in the built environment of aquaculture facilities is poorly understood. In this study, we provide a multi-year profile of the surface- and water-associated microbial communities of this biome. The results demonstrated that distinct community structures exist in the water and on surfaces. Furthermore, it was shown that a common and economically impactful bacterial pathogen, F. columnare, is continually introduced via the source water, is widespread within surface biofilms in the hatchery environment, and is likely amplified within these raceways but does not always cause disease despite being present. These results advance our understanding of pathogen localization at fish farms, show the interplay between host and environmental microbiomes, and reveal the importance of microbial community sequencing in aquaculture for identifying potential beneficial and harmful microbes. This study adds to the aquaculture microecology dataset and enhances our ability to understand this environment from a "One Health" perspective.

microbiology↗

bioRxiv2021

Detecting Flavobacterial Fish Pathogens in the Environment Using High-Throughput Community Analysis

Diseases caused by the fish pathogens Flavobacterium columnare and Flavobacterium psychrophilum are major contributors of preventable losses in the aquaculture industry. The persistent and difficult to control infections caused by these bacteria make timely intervention and prophylactic elimination of pathogen reservoirs important measures to combat these disease-causing agents. In the present study, we present two independent assays for detecting these pathogens in a range of environmental samples. Natural water samples were inoculated with F. columnare and F. psychrophilum cells, and pathogen levels were detected using Illumina MiSeq sequencing and droplet digital PCR. Both detection methods accurately identified pathogen-positive samples and showed good agreement in quantifying each pathogen. Additionally, the real-world application of these approaches was demonstrated using environmental samples collected at a rainbow trout aquaculture facility. These results show that both methods can serve as useful tools for surveillance efforts in aquaculture facilities, where the early detection of these flavobacterial pathogens may direct preventative measures to reduce disease occurrence. ImportanceEarly detection of a deadly disease outbreak in a population can be the difference between mass fatality or mitigated effects. In the present study, we evaluated and compared two techniques for detecting economically impactful aquaculture pathogens. We demonstrate that one of these techniques, 16S rRNA gene sequencing using Illumina MiSeq technology, provides the ability to accurately detect two fish pathogens, F. columnare and F. psychrophilum, while simultaneously profiling the native microbial community. The second technique, droplet digital PCR, is commonly used for pathogen detection, and the results obtained using the assays we designed with this method served to validate those obtained using the MiSeq method. These two methods offer distinct advantages. The MiSeq method pairs pathogen detection and microbial community profiling to answer immediate and long-term fish health concerns, while droplet digital PCR method provides fast and highly sensitive detection that is useful for surveillance and rapid clinical responses.

molecular biology↗

bioRxiv2017

Genome-wide Association Studies Reveal Similar Genetic Architecture with Shared and Unique QTL for Bacterial Cold Water Disease Resistance in Two Rainbow Trout Breeding Populations

Bacterial cold water disease (BCWD) causes significant mortality and economic losses in salmonid aquaculture. In previous studies, we identified moderate-large effect QTL for BCWD resistance in rainbow trout (Oncorhynchus mykiss). However, the recent availability of a 57K SNP array and a genome physical map have enabled us to conduct genome-wide association studies (GWAS) that overcome several experimental limitations from our previous work. In the current study, we conducted GWAS for BCWD resistance in two rainbow trout breeding populations using two genotyping platforms, the 57K Affymetrix SNP array and restriction-associated DNA (RAD) sequencing. Overall, we identified 14 moderate-large effect QTL that explained up to 60.8% of the genetic variance in one of the two populations and 27.7% in the other. Four of these QTL were found in both populations explaining a substantial proportion of the variance, although major differences were also detected between the two populations. Our results confirm that BCWD resistance is controlled by the oligogenic inheritance of few moderate-large effect loci and a large-unknown number of loci each having a small effect on BCWD resistance. We detected differences in QTL number and genome location between two GWAS models (weighted single-step GBLUP and Bayes B), which highlights the utility of using different models to uncover QTL. The RAD-SNPs detected a greater number of QTL than the 57K SNP array in one population, suggesting that the RAD-SNPs may uncover polymorphisms that are more unique and informative for the specific population in which they were discovered.

genetics↗