Emily C. Fowler

Dr. Emily C. Fowler

South Dakota State University
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 May 2021 in Microorganisms
Verified
Journal Article
Open access
PDF file
Emily C. FowlerEmily C. Fowler
Emily C. Fowler
PPPrakash Poudel
Prakash Poudel
BWBrandon White
Brandon White
Benoit St-PierreBenoit St-Pierre
Benoit St-Pierre
MBMichael Brown
Michael Brown
The hybrid striped bass (Morone chrysops x M. saxatilis) is a carnivorous species and a major product of US aquaculture. To reduce costs and improve resource sustainability, traditional ingredients used in fish diets are becoming more broadly replaced by plant-based products; however, plant meals can be problematic for carnivorous fish. Bioprocessing has improved nutritional quality and allowed higher inclusions in fish diets, but these could potentially affect other systems such as the gut microbiome. In this context, the effects of bioprocessed soybean meal on the intestinal bacterial composition in hybrid striped bass were investigated. Using high-throughput sequencing of amplicons targeting the V1–V3 region of the 16S rRNA gene, no significant difference in bacterial composition was observed between fish fed a control diet, and fish fed a diet with the base bioprocessed soybean meal. The prominent Operational Taxonomic Unit (OTU) in these samples was predicted to be a novel species affiliated to Peptostreptococcaceae. In contrast, the intestinal bacterial communities of fish fed bioprocessed soybean meal that had been further modified after fermentation exhibited lower alpha diversity (p < 0.05), as well as distinct and more varied composition patterns, with OTUs predicted to be strains of Lactococcus lactis, Plesiomonas shigelloides, or Ralstonia pickettii being the most dominant. Together, these results suggest that compounds in bioprocessed soybean meal can affect intestinal bacterial communities in hybrid striped bass.

19 July 2023 in Microorganisms
Verified
Journal Article
Open access
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JHJessica Halfen
Jessica Halfen
NCNathaly Ana Carpinelli
Nathaly Ana Carpinelli
Sergio LassoSergio Lasso
Sergio Lasso
TMTainara Michelotti
Tainara Michelotti
Emily C. FowlerEmily C. Fowler
Emily C. Fowler
Johan OsorioJohan Osorio
Johan Osorio
Maternal metabolic disruptions, such as ketosis, can have adverse effects on fetal development and influence postnatal factors. Twelve Holstein calves were randomly enrolled in this study at birth and monitored until 8 weeks of age. The study was conducted from fall 2018 until spring 2019. After completing the data collection period, calves were classified according to their respective dams ketotic condition after parturition. This classification was based on dam blood β-hydroxybutyrate < 1.4 mmol/L nonketotic (NONKET; n = 6 calves) or ≥1.4 mmol/L subclinical-ketotic (SK; n = 6 calves). SK calves had greater birth body weight (p = 0.05) but exhibited a slower growth rate compared to NONKET calves from 1 to 8 weeks (p = 0.02). At birth, SK calves had lower (p < 0.01) levels of non-esterified fatty acids and bilirubin compared to NONKET calves. Analysis of feces alpha diversity indicates that by 3 weeks, NONKET calves had greater diversity, richness, and evenness. Butyricicoccus pullicaecorum and Gallibacterium anatis were more abundant in SK calves (p < 0.05) at 3 weeks. In contrast, NONKET calves had a greater (p < 0.05) abundance of Sharpae azabuensis at 3 weeks. These findings suggest that subclinical ketosis in cows can impact the in-utero development, postnatal growth, and maturing gut microbiome of their offspring.

20 May 2023 in Pathogens
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Journal Article
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Emily C. FowlerEmily C. Fowler
Emily C. Fowler
Ryan Scott SamuelRyan Scott Samuel
Ryan Scott Samuel
Benoit St-PierreBenoit St-Pierre
Benoit St-Pierre
For commercial swine producers, the natural variation in body weight amongst pigs in a herd presents a challenge in meeting the standards of meat processors who incentivize target carcass weights by offering more favorable purchase prices. Body weight variation in a swine herd is evident as early as birth, and it is typically maintained throughout the entire production cycle. Amongst the various factors that can affect growth performance, the gut microbiome has emerged as an important factor that can affect efficiency, as it contributes to vital functions such as providing assimilable nutrients from feed ingredients that are inedible to the host, as well as resistance to infection by a pathogen. In this context, the objective of the study described in this report was to compare the fecal microbiomes of light and heavy barrows (castrated male finishing pigs) that were part of the same research herd that was raised under commercial conditions. Using high-throughput sequencing of amplicons generated from the V1-V3 regions of the 16S rRNA gene, two abundant candidate bacterial species identified as operational taxonomic units (OTUs), Ssd-1085 and Ssd-1144, were found to be in higher abundance in the light barrows group. Ssd-1085 was predicted to be a potential strain of Clostridium jeddahitimonense, a bacterial species capable of utilizing tagatose, a monosaccharide known to act as a prebiotic that can enhance the proliferation of beneficial microorganisms while inhibiting the growth of bacterial pathogens. OTU Ssd-1144 was identified as a candidate strain of C. beijerinckii, which would be expected to function as a starch utilizing symbiont in the swine gut. While it remains to be determined why putative strains of these beneficial bacterial species would be in higher abundance in lower weight pigs, their overall high levels in finishing pigs could be the result of including ingredients such as corn and soybean-based products in swine diets. Another contribution from this study was the determination that these two OTUs, along with five others that were also abundant in the fecal bacterial communities of the barrows that were analyzed, had been previously identified in weaned pigs, suggesting that these OTUs can become established as early as the nursery phase.

18 March 2026 in Animals
Verified
Journal Article
Open access
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EFEmma Paige Fukuda
Emma Paige Fukuda
YLYuan Lu
Yuan Lu
Emily C. FowlerEmily C. Fowler
Emily C. Fowler
RJRussell W. W Jessup
Russell W. W Jessup
MDMerritt Drewery
Merritt Drewery
While essential oils are gaining momentum as a strategy to modulate rumen function and potentially reduce enteric methane in cattle, little is known about how their bioactive components, terpenes, affect rumen microbes. Our objective was to evaluate how in vivo doses of thymol affect the structure and function of the rumen microbial community via whole genome shotgun sequencing (WGS). Four beef steers were used in a 4 × 4 Latin square with four 28 d periods. Steers consumed ad libitum forage and received one of four thymol doses (0 [CON], 120 [120-T], 240 [240-T], and 480 [480-T] mg/kg forage intake). Rumen contents were separated into liquid and solid fractions, DNA was extracted, analyzed via WGS, and assessed with orthogonal contrasts. After FDR correction, no taxa were affected by thymol; however, raw p-values demonstrated responses to thymol supplementation for solid-associated uncultured Lachnospiraceae bacterium (p = 0.04), uncultured Methanobrevibacter (p = 0.05), and uncultured Coriobacteriaceae bacterium (p = 0.02). Liquid-associated uncultured Prevotellaceae bacterium (p = 0.03), Prevotella sp. (p = 0.04), and Bacteroides sp. (p = 0.02) also responded to thymol, with the highest abundances observed at various thymol doses. Genes involved in energy production and amino acid metabolism transport were observed at the highest abundances at 240-T, while genes associated with cell cycle control, cell division, and chromosome partitioning were present in the highest abundances at 120-T. The findings suggest that thymol exerts dose-dependent effects on rumen microbial abundances and functional pathways, with 240 mg/kg forage intake appearing to be the most effective dose to downregulate methanogenic enzymes while also enhancing the enzymes associated with metabolism without negatively impacting microbial diversity.

26 September 2026 in Fermentation
Verified
Journal Article
Open access
PDF file
EFEmma Paige Fukuda
Emma Paige Fukuda
Emily C. FowlerEmily C. Fowler
Emily C. Fowler
MDMerritt Drewery
Merritt Drewery
Previous research has established distinctions between microbial communities that associate with either the solid or liquid rumen microenvironments utilizing 16S rRNA sequencing. Whole genome metagenomic sequencing (WGS) facilitates comprehensive analysis of a microorganism’s entire genome, producing strain level data and providing insights into microbial functionality. The objective of our study was to utilize WGS to characterize microbial species and enzyme profiles associated with the liquid versus solid rumen microenvironments in beef steers consuming forage. Four steers consuming forage were utilized in a 4 × 4 Latin Square experiment; on d 14 of each period, rumen contents were separated into solid and liquid samples and DNA was extracted then sequenced using WGS. Alpha and beta diversity measures revealed differences between solid and liquid microenvironments. There were also differences in enzyme profiles: carbohydrate-active enzyme classes were different across microenvironments, except glycosyl transferase. Further, the solid microenvironment was enriched in enzymes related to energy production/conversion and nutrient transport and metabolism, while the liquid microenvironment was enriched in coenzyme transport and metabolism enzymes. Species associated with cellulolytic activities were generally more abundant in the solid microenvironment while those associated with amylolytic activity were more abundant in the liquid. Genes related to methanogenesis were also different across microenvironments. Our findings offer valuable insights into the stratification of microorganisms across rumen microenvironments, expanding on existing literature with findings from next-generation sequencing and application to forage-based beef systems.