Surface-enhanced laser desorption/ionization (SELDI)-time of flight is a recent technology that allows proteomic analysis with limited material requirements. This characteristic makes it a valuable technique for microbiologists handling problematic samples, such as low cell number cultures. We compared three simple procedures for protein extraction from bacteria for compatibility with the ProteinChip Array; we also determined the amount of protein required for each analysis. The protocol for the SELDI analysis was evaluated by generating protein expression profiles of a Streptococcus pneumoniae strain grown in different conditions and those of different strains of the same species. The protocol also was successfully applied to a wide range of Gram positive and negative bacteria. The results of this study suggest the appropriateness of this technology for microorganism protein profiling as complementary or alternative to two-dimensional gel electrophoresis. Abbreviations: BHI, brain heart infusion; EAM, energy absorbing molecule; GC-TR, GramCracker and Tri-Reagent-LS method; SAX, strong anion exchange; SPA, sinapinic acid; WCX, weak cation exchange

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SARS-CoV-2 has had an unprecedented impact on human health and highlights the need for genomic epidemiology studies to increase our understanding of the evolution and spread of pathogens and to inform policy decisions. Most efforts have focused on international or country-wide transmission, which are unable to highlight state-wide trends. We sequenced virus genomes from over 22,000 patients tested at Mayo Clinic Laboratories between 2020-2022 and leveraged detailed patient metadata to describe county-to-county spread in Minnesota. Our findings indicate that spread in the state was mostly dominated by viruses from Hennepin County, which contains the largest metropolis. For many counties, we found that state government restrictions eventually led to a decrease in the diversity of circulating viruses from other counties and that their complete removal in May of 2021 saw a drastic revert to levels at or greater than those observed during the months before. We also linked over 14,000 genomes with patient risk characteristics and infection-related phenotypes from the Mayo Clinic electronic health record. We found that the genetic relationship of Omicron viruses was structured by clinical outcomes when stratifying by patient risk factor and variant of concern. However, we were unable to identify nucleotide variants that drove this association.