Biology subjects

Sloan, W. T.

Publications and source records attributed to Sloan, W. T..

4 recordsLinked to original sources

bioRxiv2023

intI1 primer selection for class 1 integron integrase gene and transcript quantification - validation and application for monitoring intl1 gene abundance within septic tanks in Thailand

Antimicrobial resistance (AMR) poses serious global public health threat and wastewater treatment (WWT), including septic tanks, are a significant source of AMR genes to the environment. Environmental monitoring of broad-range AMR genes remains a challenge. The class-1 integron-integrase (intI1) gene has been proposed as a proxy for overall AMR abundance, but there is no consensus on the qPCR primer set to use. A systematic review of the literature found 65 primer sets. The coverage and specificity of each, including newly designed MGB-TaqMan primer-probe, was evaluated against a database of clinical and environmental intl1, intl1-like and non-intl1 sequences. Three primer sets were selected, laboratory validated for DNA and mRNA quantification and used to quantity intl1 gene abundance from household and healthcare conventional septic tanks (CST) and novel household Solar Septic Tanks (SST) in Thailand. Specificity of the intl1 septic tank amplicons showed that no primer set could distinguish between intl1 and intl-1 like sequences. Each primer set showed the same trends across septic tanks, with highest gene abundance in influent>sludge>effluent. There was no statistical difference between the same sample quantified by the three primer sets. However, when comparing gene abundances from the same primer set across septic tanks, statistical differences between different sample types were observed for one primer set but not the others. This may lead to different interpretation of risk associated with each reactor in spreading intl1 to the environment. Comparing reactor types, intI1 abundance in the effluent was lowest in the SST-household<CST-household<CST-healthcare. Depending on primer set used, 31 to 42% of intI1 was removed from effluent of the CST-household tank with accessible influent. Our study provided insight into the importance of intl1 primer choice. We propose the use of the validated set (F3-R3) for optimal intI1 quantification and towards the goal of achieving standardisation across environmental studies.

molecular biology↗

bioRxiv2020

Deploying and in vitro gut model to assay the impact of a mannan-oligosaccharide prebiotic, Bio-MOS(R) on the Atlantic salmon (Salmo salar) gut microbiome.

Mannose-oligosaccharide (MOS) pre-biotics are widely deployed in animal agriculture as immunomodulators as well as to enhance growth and gut health. Their mode of action is thought to be mediated through their impact on host microbial communities and associated metabolism. Bio-MOS is a commercially available pre-biotic currently used in the agri-feed industry. To assay Bio-MOS for potential use as a pre-biotic growth promotor in salmonid aquaculture, we modified an established Atlantic salmon in vitro gut model, SalmoSim, to evaluate its impact on host microbial communities. In biological triplicate, microbial communities were stabilised in SalmoSim followed by twenty-day exposure to the pre-biotic and then an eight day wash out period. Exposure the MOS resulted in a significant increase in formate (p=0.001), propionate (p=0.037) and isovalerate (p=0.024) levels, correlated with increased abundances of several principally anaerobic microbial genera (Fusobacteria, Agarivorans, Pseudoalteromonas, Myroides). 16S rDNA sequencing confirmed a significant shift in microbial community composition in response to supplementation. In conjunction with previous in vivo studies linking enhanced VFA production alongside MOS supplementation to host growth and performance, our data suggest that Bio-MOS may be of value in salmonid production. Furthermore, our data highlight the potential role of in vitro gut models to augment in vivo trials of microbiome modulators.

microbiology↗

bioRxiv2020

Development of a three-compartment in vitro simulator of the Atlantic Salmon GI tract and associated microbial communities: SalmoSim

Atlantic salmon are a species of major economic importance. Intense innovation is underway to improve salmon feeds and feed additives to enhance fish performance, welfare, and the environmental sustainability of the industry. Several gut models targeted at monogastric vertebrates are now in operation. Here we report progress in the development of an Atlantic salmon in vitro gut model, SalmoSim, to simulate three gut compartments (stomach, pyloric caecum and mid gut) and associated microbial communities. The artificial gut model was established in a series of linked bioreactors seeded with biological material derived for adult marine phase salmon. In biological triplicate, the response of the in vitro system to two distinct dietary formulations (fish meal and fish meal free) was compared to a parallel in vivo trial over forty days. 16S rDNA sequencing, qPCR, ammoniacal nitrogen and volatile fatty acid measurements were undertaken to survey microbial community dynamics and function. SalmoSim communities were indistinguishable (p=0.230) from their founding inocula at 20 days and most abundant genera (e.g. Psycrobacter, Staphylococcus, Pseudomonas) proliferated the in vitro system. Real salmon and SalmoSim responded similarly to the introduction of the novel feed, with most taxa (96% Salmon, 97% SalmoSim) unaffected, while a subset of taxa was affected non-identically across both systems. Consistent with a low impact of the novel feed on microbial community function, VFA profiles were not significantly different in SalmoSim pre and post the switch feed. This study represents an important first-step in the development of an in vitro gut system as a tool for the improvement of salmon nutrition.

microbiology↗

bioRxiv2020

Impact of industrial production system parameters on chicken microbiomes: mechanisms to improve performance and reduce Campylobacter

BackgroundThe factors affecting host-pathogen ecology in terms of the microbiome remain poorly studied. Chickens are a key source of protein with gut health heavily dependent on the complex microbiome which has key roles in nutrient assimilation and vitamin and amino acid biosynthesis. The chicken gut microbiome may be influenced by extrinsic production system parameters such as Placement Birds/m2 (stocking density), feed type and additives. Such parameters, in addition to on-farm biosecurity may influence performance and also pathogenic bacterial numbers such as Campylobacter. In this study, three different production systems Normal (N), Higher Welfare (HW) and Omega-3 Higher Welfare (O) were investigated "in a natural environment" at day 7 and day 30 with a range of extrinsic parameters assessing performance in correlation with microbial dynamics and Campylobacter presence. ResultsOur data identified production system N as significantly dissimilar from production systems HW and O when comparing the prevalence of genera. An increase in Placement Birds/m2 density led to a decrease in environmental pressure influencing the microbial community structure. Prevalence of genera such as Eisenbergiella within HW and O, and likewise Alistipes within N were representative. These genera have roles directly relating to energy metabolism, amino acid, nucleotide and short chain fatty acid (SCFA) utilisation. Thus, an association exists between consistent and differentiating parameters of the production systems, that affect feed utilisation, advance our knowledge of mechanistic underpinnings, leading to competitive exclusion of genera based on competition for nutrients and other factors. Campylobacter was identified within specific production system and presence was linked with the increased diversity and increased environmental pressure on microbial community structure. Addition of Omega-3 though did alter prevalence of specific genera, in our analysis did not differentiate itself from HW production system. However, Omega-3 was linked with a positive impact on weight gain. ConclusionsOverall, our results show that microbial communities in different industrial production systems are deterministic in elucidating the underlying biological confounders, and these recommendations are transferable to farm practices and diet manipulation leading to improved performance and better intervention strategies against Campylobacter within the food chain. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=125 SRC="FIGDIR/small/084251v2_ufig1.gif" ALT="Figure 1"> View larger version (63K): org.highwire.dtl.DTLVardef@c43951org.highwire.dtl.DTLVardef@8efa5corg.highwire.dtl.DTLVardef@d6db70org.highwire.dtl.DTLVardef@1e09fb9_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗