@article{lamontagne_christenson_rogers_jacob_stewart_2023, title={Relating Antimicrobial Resistance and Virulence in Surface-Water <i>E. coli</i>}, volume={11}, ISSN={["2076-2607"]}, DOI={10.3390/microorganisms11112647}, abstractNote={The role of the environment in the emergence and spread of antimicrobial resistance (AMR) is being increasingly recognized, raising questions about the public health risks associated with environmental AMR. Yet, little is known about pathogenicity among resistant bacteria in environmental systems. Existing studies on the association between AMR and virulence are contradictory, as fitness costs and genetic co-occurrence can be opposing influences. Using Escherichia coli isolated from surface waters in eastern North Carolina, we compared virulence gene prevalence between isolates resistant and susceptible to antibiotics. We also compared the prevalence of isolates from sub-watersheds with or without commercial hog operations (CHOs). Isolates that had previously been evaluated for phenotypic AMR were paired by matching isolates resistant to any tested antibiotic with fully susceptible isolates from the same sample date and site, forming 87 pairs. These 174 isolates were evaluated by conventional PCR for seven virulence genes (bfp, fimH, cnf-1, STa (estA), EAST-1 (astA), eae, and hlyA). One gene, fimH, was found in 93.1% of isolates. Excluding fimH, at least one virulence gene was detected in 24.7% of isolates. Significant negative associations were found between resistance to at least one antibiotic and presence of at least one virulence gene, tetracycline resistance and presence of a virulence gene, resistance and STa presence, and tetracycline resistance and STa presence. No significant associations were found between CHO presence and virulence, though some sub-significant associations merit further study. This work builds our understanding of factors controlling AMR dissemination through the environment and potential health risks.}, number={11}, journal={MICROORGANISMS}, author={LaMontagne, Connor D. and Christenson, Elizabeth C. and Rogers, Anna T. and Jacob, Megan E. and Stewart, Jill R.}, year={2023}, month={Nov} }
 @article{rogers_holland_2022, title={Environment-specific genomic prediction ability in maize using environmental covariates depends on environmental similarity to training data}, volume={12}, ISSN={["2160-1836"]}, url={https://doi.org/10.1093/g3journal/jkab440}, DOI={10.1093/g3journal/jkab440}, abstractNote={Abstract}, number={2}, journal={G3-GENES GENOMES GENETICS}, publisher={Oxford University Press (OUP)}, author={Rogers, Anna R. and Holland, James B.}, editor={Lipka, AEditor}, year={2022}, month={Feb} }
 @article{rogers_bian_krakowsky_peters_turnbull_nelson_holland_2022, title={Genomic prediction for the Germplasm Enhancement of Maize project}, volume={10}, ISSN={["1940-3372"]}, url={https://doi.org/10.1002/tpg2.20267}, DOI={10.1002/tpg2.20267}, abstractNote={Abstract}, journal={PLANT GENOME}, author={Rogers, Anna R. and Bian, Yang and Krakowsky, Matthew and Peters, David and Turnbull, Clint and Nelson, Paul and Holland, James B.}, year={2022}, month={Oct} }
 @article{rogers_dunne_romay_bohn_buckler_ciampitti_edwards_ertl_flint-garcia_gore_et al._2021, title={The importance of dominance and genotype-by-environment interactions on grain yield variation in a large-scale public cooperative maize experiment}, volume={11}, ISSN={["2160-1836"]}, DOI={10.1093/g3journal/jkaa050}, abstractNote={Abstract}, number={2}, journal={G3-GENES GENOMES GENETICS}, author={Rogers, Anna R. and Dunne, Jeffrey C. and Romay, Cinta and Bohn, Martin and Buckler, Edward S. and Ciampitti, Ignacio A. and Edwards, Jode and Ertl, David and Flint-Garcia, Sherry and Gore, Michael A. and et al.}, year={2021}, month={Feb} }