Life Sciences Commons^™

Genomic Diversity Of Bacteriophages Infecting Microbacterium Spp, Deborah Jacobs-Sera, Nathan S. Reyna, Lawrence A. Abad, Richard M. Alvey, Kirk R. Anders, Haley G. Aull, Suparna S. Bhalla, Lawrence S. Blumer, David W. Bollivar, J. Alfred Bonilla, Kristen A. Butela, Roy J. Coomans, Steven G. Cresawn, Tom D'Elia, Arturo Diaz, Ashley M. Divens, Nicholas P. Edgington, Gregory D. Frederick, Maria D. Gainey, Rebecca A. Garlena, Kenneth W. Grant, Susan M.R. Gurney, Heather L. Hendrickson, Lee E. Hughes, Margaret A. Kenna, Karen K. Klyczek, Hari Kotturi, Travis N. Mavrich, Angela L. Mckinney, Evan C. Merkhofer, Jordan Moberg Parker, Sally D. Molloy, Denise L. Monti, Dana A. Pape-Zambito

Articles

The bacteriophage population is vast, dynamic, old, and genetically diverse. The genomics of phages that infect bacterial hosts in the phylum Actinobacteria show them to not only be diverse but also pervasively mosaic, and replete with genes of unknown function. To further explore this broad group of bacteriophages, we describe here the isolation and genomic characterization of 116 phages that infect Microbacterium spp. Most of the phages are lytic, and can be grouped into twelve clusters according to their overall relatedness; seven of the phages are singletons with no close relatives. Genome sizes vary from 17.3 kbp to 97.7 kbp, …

Scalable Profiling And Visualization For Characterizing Microbiomes, Camilo Valdes

FIU Electronic Theses and Dissertations

Metagenomics is the study of the combined genetic material found in microbiome samples, and it serves as an instrument for studying microbial communities, their biodiversities, and the relationships to their host environments. Creating, interpreting, and understanding microbial community profiles produced from microbiome samples is a challenging task as it requires large computational resources along with innovative techniques to process and analyze datasets that can contain terabytes of information.

The community profiles are critical because they provide information about what microorganisms are present in the sample, and in what proportions. This is particularly important as many human diseases and environmental disasters …

Rare Degs1 Variant Significantly Alters De Novo Ceramide Synthesis Pathway, Nicholas B. Blackburn, Laura F. Michael, Peter J. Meikle, Juan M. Peralta, Marian Mosior, Scott Mcahren, Hai H. Bui, Melissa A. Bellinger, Corey Giles, Satish Kumar, Ana C. Leandro, Marcio Almeida, Jacquelyn M. Weir, Michael C. Mahaney, Thomas D. Dyer, Laura Almasy, John L. Vandeberg, Sarah Williams-Blangero, David C. Glahn, Ravindranath Duggirala, Mark Kowala, John Blangero, Joanne E. Curran

School of Medicine Publications and Presentations

The de novo ceramide synthesis pathway is essential to human biology and health but genetic influences remain unexplored. The core function of this pathway is the generation of biologically active ceramide from its precursor, dihydroceramide. Dihydroceramides have diverse, often protective, biological roles; conversely, increased ceramide levels are biomarkers of complex disease. To explore the genetics of the ceramide synthesis pathway, we searched for deleterious nonsynonymous variants in the genomes of 1,020 Mexican Americans from extended pedigrees. We identified a Hispanic ancestry−specific rare functional variant, L175Q, in DEGS1, a key enzyme in the pathway that converts dihydroceramide to ceramide. This amino …

The Relationship Between Uncertainty Tolerance And Oncologists’ Perceptions Of Large-Panel Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Christine Lary, Kimberly Murray, Leo Waterson, Paul Han, Maine Cancer Genomics Initiative

Maine Medical Center

Introduction:

Large-panel genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise, but that currently poses many uncertainties regarding its clinical value and appropriate use. Uncertainty Tolerance (UT), a psychological construct that describes trait-level differences in individuals’ responses to uncertainty, may influence oncologists’ perceptions and attitudes regarding GTT.

Community Oncology Clinicians’ Knowledge, Beliefs, And Attitudes Regarding Genomic Tumor Testing, Eric Anderson, Alexandra Hinton, Kimberly Murray, Hayley Mandeville, Caitlin Gutheil, Leo Waterston, Lee Lucas, Christine Duarte, Christian Thomas, Susan Miesfeldt, Petra Helbig, Andrey Antov, Jens Rueter, Paul Han

Maine Medical Center

Introduction: Genomic tumor testing (GTT) is a new technology that promises to make cancer treatment more precise. However, little is known about clinicians’ knowledge, beliefs, and attitudes regarding GTT, particularly in community oncology settings.

Shared Heritability And Functional Enrichment Across Six Solid Cancers, Xia Jiang, Hilary K. Finucane, Fredrick R. Schumacher, Stephanie L. Schmit, Jonathan P. Tyrer, Younghun Han, Kyriaki Michailidou, Corina Lesseur, Karoline B. Kuchenbaecker, Joe Dennis, David V. Conti, Graham Casey, Mia M. Gaudet, Jeroen R. Huyghe, Demetrius Albanes, Melinda C. Aldrich, Angeline S. Andrew, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Natalia N. Antonenkova, Susanne M. Arnold, Kristan J. Aronson, Banu K. Arun, Elisa V. Bandera, Rosa B. Barkardottir, Daniel R. Barnes, Jyotsna Batra, Matthias W. Beckmann, Javier Benitez

Markey Cancer Center Faculty Publications

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (r_g = 0.57, p = 4.6 × 10⁻⁸), breast and ovarian cancer (r_g = 0.24, p = 7 × 10^{−5 …}

Evidence-Based Practice Self-Study Education Program For Staff Nurses On Genomics, Nancy L. Norman-Marzella

Walden Dissertations and Doctoral Studies

Nurses routinely obtain genomic data when collecting family health histories. However, they report low confidence in their knowledge and understanding of genomics and the genetically engineered medications prescribed for their patients. The purpose of this project was the development and implementation of an evidence-based online education program about genetics and genomics to increase the nurses' understanding and ability to provide competent care for their patients receiving treatments based on the science of genomics. Knowles's principles of adult learning theory guided the development and delivery of the online education project to 12 medical-surgical registered nurses employed in a hospital in the …

Genome-Wide Systems Genetics Of Alcohol Consumption And Dependence, Kristin Mignogna

Theses and Dissertations

Widely effective treatment for alcohol use disorder is not yet available, because the exact biological mechanisms that underlie this disorder are not completely understood. One way to gain a better understanding of these mechanisms is to examine the genetic frameworks that contribute to the risk for developing this disorder. This dissertation examines genetic association data in combination with gene expression networks in the brain to identify functional groups of genes associated with alcohol consumption and dependence.

The first study took advantage of the behavioral complexity of human samples, and experimental capabilities provided by mouse models, by co-analyzing gene expression networks …

Sequence Analysis Methods For The Design Of Cancer Vaccines That Target Tumor-Specific Mutant Antigens (Neoantigens), Jasreet Hundal

Arts & Sciences Electronic Theses and Dissertations

The human adaptive immune system is programmed to distinguish between self and non-self proteins and if trained to recognize markers unique to a cancer, it may be possible to stimulate the selective destruction of cancer cells. Therapeutic cancer vaccines aim to boost the immune system by selectively increasing the population of T cells specifically targeted to the tumor-unique antigens, thereby initiating cancer cell death.. In the past, this approach has primarily focused on targeted selection of ‘shared’ tumor antigens, found across many patients. The advent of massively parallel sequencing and specialized analytical approaches has enabled more efficient characterization of tumor-specific …

A Tail Of Two Pancancer Projects: Somatic Variant Identification And Driver Gene Discovery Using Tcga, Matthew Hawkins Bailey

Arts & Sciences Electronic Theses and Dissertations

The implementation of next-generation genomic sequencing has exploded over the past dozen years. Large consortia, such as The Cancer Genome Atlas (TCGA); the International Cancer Genetics Consortium (ICGC); and the Pediatric Cancer Genome Projects (PCGP), made great strides in democratizing big data for the scientific community. These data sets provide a rich resource to build tools for somatic variant discovery and exploratory analysis. Public repositories hold the answer to many novel biological and clinical revelations i.e., the discovery of complex indels, splice creating mutations, alternative super enhancer binding sites, machine learning models to predict mutation impact, and cancer subtype classification …

Improved Reference Genome For The Domestic Horse Increases Assembly Contiguity And Composition, Theodore S. Kalbfleisch, Edward S. Rice, Michael S. Depriest Jr., Brian P. Walenz, Matthew S. Hestand, Joris R. Vermeesch, Brendan L. O'Connell, Ian T. Fiddes, Alisa O. Vershinina, Nedda F. Saremi, Jessica L. Petersen, Carrie J. Finno, Rebecca R. Bellone, Molly E Mccue, Samantha A. Brooks, Ernest Bailey, Ludovic Orlando, Richard E. Green, Donald C. Miller, Douglas F. Antczak, James N. Macleod

Maxwell H. Gluck Equine Research Center Faculty Publications

Recent advances in genomic sequencing technology and computational assembly methods have allowed scientists to improve reference genome assemblies in terms of contiguity and composition. EquCab2, a reference genome for the domestic horse, was released in 2007. Although of equal or better quality compared to other first-generation Sanger assemblies, it had many of the shortcomings common to them. In 2014, the equine genomics research community began a project to improve the reference sequence for the horse, building upon the solid foundation of EquCab2 and incorporating new short-read data, long-read data, and proximity ligation data. Here, we present EquCab3. The count of …

Analytical “Bake-Off” Of Whole Genome Sequencing Quality For The Genome Russia Project Using A Small Cohort For Autoimmune Hepatitis, Daria V. Zhernakova, Sergei Kliver, Nikolay Cherkasov, Gaik Tamazian, Mikhail Rotkevich, Ksenia Krasheninnikova, Igor Evsyukov, Sviatoslav Sidorov, Pavel Dobrynin, Andrey A. Yurchenko, Valentin Shimansky, Irina V. Shcherbakova, Andrey S. Glotov, David L. Valle, Minzhong Tang, Emilia Shin, Kathleen B. Schwarz, Stephen James O'Brien

Biology Faculty Articles

A comparative analysis of whole genome sequencing (WGS) and genotype calling was initiated for ten human genome samples sequenced by St. Petersburg State University Peterhof Sequencing Center and by three commercial sequencing centers outside of Russia. The sequence quality, efficiency of DNA variant and genotype calling were compared with each other and with DNA microarrays for each of ten study subjects. We assessed calling of SNPs, indels, copy number variation, and the speed of WGS throughput promised. Twenty separate QC analyses showed high similarities among the sequence quality and called genotypes. The ten genomes tested by the centers included eight …

What We Do Not Know About Fungal Cell Adhesion Molecules, Peter N. Lipke

Publications and Research

There has been extensive research on structure and function of fungal cell adhesion molecules, but the most of the work has been about adhesins in Candida albicans and Saccharomyces cerevisiae. These yeasts are members of a single ascomycete order, and adhesion molecules from the six other fungal phyla are only sparsely described in the literature. In these other phyla, most of the research is at the cellular level, rather than at the molecular level, so there has been little characterization of the adhesion molecules themselves. A catalog of known adhesins shows some common features: high Ser/Thr content, tandem repeats, N- …

Discerning Drivers Of Cancer: Computational Approaches To Somatic Exome Sequencing Data, Runjun Kumar

Arts & Sciences Electronic Theses and Dissertations

Paired tumor-normal sequencing of thousands of patient’s exomes has revealed millions of somatic mutations, but functional characterization and clinical decision making are stymied because biologically neutral ‘passenger’ mutations greatly outnumber pathogenic ‘driver’ mutations. Since most mutations will return negative results if tested, conventional resource-intensive experiments are reserved for mutations which are observed in multiple patients or rarer mutations found in well-established cancer genes. Most mutations are therefore never tested, diminishing the potential to discover new mechanisms of cancer development and treatment opportunities. Computational methods that reliably prioritize mutations for testing would greatly increase the translation of sequencing results to clinical …

Discovering Rare Hematopoietic Clones Harboring Leukemia-Associated Mutations Using Error-Corrected Sequencing, Andrew Lee Young

Arts & Sciences Electronic Theses and Dissertations

Cancer is a heterogeneous group of diseases that currently takes over half a million lives per year in the United States alone. Our understanding of cancer has improved dramatically over the last forty years, beginning with the discovery that cancer is a disease of the genome. Currently, the set of somatic mutations found in malignancy are largely known. The specific somatic mutations driving an individual’s disease can be readily assessed at clinical presentation. Additionally, the functional consequences for many of these mutations are known as well as their role in tumorigenesis. Despite this understanding, a cure for cancer remains elusive. …

Bayesian Prediction Intervals For Assessing P-Value Variability In Prospective Replication Studies, Olga A. Vsevolozhskaya, Gabriel Ruiz, Dmitri Zaykin

Biostatistics Faculty Publications

Increased availability of data and accessibility of computational tools in recent years have created an unprecedented upsurge of scientific studies driven by statistical analysis. Limitations inherent to statistics impose constraints on the reliability of conclusions drawn from data, so misuse of statistical methods is a growing concern. Hypothesis and significance testing, and the accompanying P-values are being scrutinized as representing the most widely applied and abused practices. One line of critique is that P-values are inherently unfit to fulfill their ostensible role as measures of credibility for scientific hypotheses. It has also been suggested that while P-values …

Integrative Cancer Immunogenomic Analysis Of Serial Melanoma Biopsies Reveals Correlates Of Response And Resistance To Sequential Ctla-4 And Pd-1 Blockade Treatment, Whijae Roh

Dissertations & Theses (Open Access)

Melanoma is the most malignant form of skin cancer. The five-year survival rate for metastatic melanoma is 19.9%. Although targeted therapy of BRAF and MEK inhibitors were developed for melanoma, resistance to therapy is inevitable. Immune checkpoint blockade, which reverses the suppression of the immune system, on the other hand, has shown a durable response in 20-30% of patients with metastatic melanoma. However, more predictive and robust biomarkers of response to this therapy are still needed, and resistance mechanisms remain incompletely understood. To address this, we examined a cohort of metastatic melanoma patients treated with sequential checkpoint blockade against cytotoxic …

Advancing Stroke Genomic Research In The Age Of Trans-Omics Big Data Science: Emerging Priorities And Opportunities, Mayowa Owolabi, Emmanuel Peprah, Huichun Xu, Rufus Akinyemi, Hemant K. Tiwari, Marguerite R. Irvin, Kolawole Wasiu Wahab, Donna K. Arnett, Bruce Ovbiagele

Epidemiology and Environmental Health Faculty Publications

Background—We systematically reviewed the genetic variants associated with stroke in genome-wide association studies (GWAS) and examined the emerging priorities and opportunities for rapidly advancing stroke research in the era of Trans-Omics science.

Methods—Using the PRISMA guideline, we searched PubMed and NHGRI- EBI GWAS catalog for stroke studies from 2007 till May 2017.

Results—We included 31 studies. The major challenge is that the few validated variants could not account for the full genetic risk of stroke and have not been translated for clinical use. None of the studies included continental Africans. Genomic study of stroke among Africans presents …

Comprehensive Genomic Profiling In Routine Clinical Practice Leads To A Low Rate Of Benefit From Genotype-Directed Therapy, Talal Hilal, Mary Nakazawa, Jacob Hodskins, John L. Villano, Aju Mathew, Gaurav Goel, Lars M. Wagner, Susanne M. Arnold, Philip Desimone, Lowell B. Anthony, Peter J. Hosein

Markey Cancer Center Faculty Publications

Background: Describe a single-center real-world experience with comprehensive genomic profiling (CGP) to identify genotype directed therapy (GDT) options for patients with malignancies refractory to standard treatment options.

Methods: Patients who had CGP by a CLIA-certified laboratory between November 2012 and December 2015 were included. The medical records were analyzed retrospectively after Institutional Review Board (IRB) approval. The treating oncologist made the decision to obtain the assay to provide potential therapeutic options. The objectives of this study were to determine the proportion of patients who benefited from GDT, and to identify barriers to receiving GDT.

Results: A total of 125 pediatric …

Activity Of Distinct Growth Factor Receptor Network Components In Breast Tumors Uncovers Two Biologically Relevant Subtypes, Moom Roosan, Shelley M. Macneil, David F. Jenkins, Gajendra Shrestha, Sydney R. Wyatt, Jasmine A. Mcquerry, Stephen R. Piccolo, Laura M. Heiser, Joe W. Gray, W. Evan Johnson, Andrea H. Bild

Pharmacy Faculty Articles and Research

Background
The growth factor receptor network (GFRN) plays a significant role in driving key oncogenic processes. However, assessment of global GFRN activity is challenging due to complex crosstalk among GFRN components, or pathways, and the inability to study complex signaling networks in patient tumors. Here, pathway-specific genomic signatures were used to interrogate GFRN activity in breast tumors and the consequent phenotypic impact of GRFN activity patterns.

Methods
Novel pathway signatures were generated in human primary mammary epithelial cells by overexpressing key genes from GFRN pathways (HER2, IGF1R, AKT1, EGFR, KRAS (G12V), RAF1, BAD). The pathway analysis toolkit Adaptive Signature Selection …

A Comparative Genomic Analysis Of Putative Pathogenicity Genes In The Host-Specific Sibling Species Colletotrichum Graminicola And Colletotrichum Sublineola, Ester A. S. Buiate, Katia Viana Xavier, Neil Moore, Maria F. Torres, Mark L. Farman, Christopher L. Schardl, Lisa J. Vaillancourt

Plant Pathology Faculty Publications

Background: Colletotrichum graminicola and C. sublineola cause anthracnose leaf and stalk diseases of maize and sorghum, respectively. In spite of their close evolutionary relationship, the two species are completely host-specific. Host specificity is often attributed to pathogen virulence factors, including specialized secondary metabolites (SSM), and small-secreted protein (SSP) effectors. Genes relevant to these categories were manually annotated in two co-occurring, contemporaneous strains of C. graminicola and C. sublineola. A comparative genomic and phylogenetic analysis was performed to address the evolutionary relationships among these and other divergent gene families in the two strains.

Results: Inoculation of maize with C. sublineola …

Paths To Tier 1 Genomics Implementation: A Survey Of Chronic Disease Directors, Amy Ponte

Walden Dissertations and Doctoral Studies

Although evidence is currently available for population-based genetic screening and testing of individuals and their family members for certain hereditary chronic disease conditions (Tier 1), few states have integrated these genomic applications into chronic disease prevention programs. State and territorial chronic disease directors (CDDs) could provide the leadership needed to deliver these applications in more states. The purpose of this study was to determine whether an association exists between current chronic disease genomics funding or specific state genomic activities and the level of knowledge and interests in genomics by these directors. Rogers's diffusion of innovations (DIT) theory was used to …

Whole Genome Sequencing As A Tool For Identifying Phenotypic Properties And Underlying Genetic Mechanisms In Staphylococcus Pseudintermedius, Matthew C. Riley

Doctoral Dissertations

Staphylococcus pseudintermedius is a Gram-positive bacterial opportunistic pathogen commonly associated with dermal infections in canines, but capable of causing serious disease in other species. Reports of human infections caused by S. pseudintermedius along with an increase in resistance to multiple antibiotics highlights the importance of this organism. Whole genome sequencing can allow large scale investigation of genetic mechanisms underlying phenotypic properties that contribute to the expansion of successful S. pseudintermedius clonal lineages.

The increase in multidrug and methicillin-resistant S. pseudintermedius (MRSP) may result from horizontal transfer of genetic material between bacterial isolates, yet is thought to be rare in Staphylococci …

Genomic Variants Associated With Cancer-Related Fatigue: A Systematic Review, Joseph D. Tariman Phd, Sadaf Dhorajiwala Msn

Joseph D Tariman PhD, RN, ANP-BC, FAAN

Development Of An In Silico Kir Genotyping Algorithm And Its Application To Population And Cancer Immunogenetic Analyses, Howard Rosoff

Dissertations & Theses (Open Access)

Gene content determination and variant calling in the complex KIR genomic region are useful for immune system function analysis, pathogenesis and disease risk factor elucidation, immunotherapy development, evolutionary investigations, and human migration modeling. Sequence-specific oligonucleotide and sequence-specific primer PCR methods are the de facto standards for KIR presence/absence identification, but the current platforms are unsuitable for SNP calling, impractical for KIR typing large cohorts of DNA samples, and inapplicable for typing repositories in which sequence data, but not cells or cell analytes, are available. Alternative typing methods, such as in silico sequence-based typing, can address the problems associated with amplicon-based …

The Genomic Cds Sandbox: An Assessment Among Domain Experts., Ayesha Aziz, Kensaku Kawamoto, Karen Eilbeck, Marc S Williams, Robert R Freimuth, Mark A Hoffman, Luke V Rasmussen, Casey L Overby, Brian H Shirts, James M Hoffman, Brandon M Welch

Manuscripts, Articles, Book Chapters and Other Papers

Genomics is a promising tool that is becoming more widely available to improve the care and treatment of individuals. While there is much assertion, genomics will most certainly require the use of clinical decision support (CDS) to be fully realized in the routine clinical setting. The National Human Genome Research Institute (NHGRI) of the National Institutes of Health recently convened an in-person, multi-day meeting on this topic. It was widely recognized that there is a need to promote the innovation and development of resources for genomic CDS such as a CDS sandbox. The purpose of this study was to evaluate …

Techniques And Approaches To Genetic Analyses In Nephrological Disorders., Laurel K. Willig

Manuscripts, Articles, Book Chapters and Other Papers

Inherited renal disease is a leading cause of morbidity and mortality in pediatric nephrology. High throughput advancements in genomics have led to greater understanding of the biologic underpinnings of these diseases. However, the underlying genetic changes explain only part of the molecular biology that contributes to disease manifestation and progression. Other omics technologies will provide a more complete picture of these cellular processes. This review discusses these omics technologies in the context of pediatric renal disease.

Comparative Genomics Of Cluster O Mycobacteriophages, Steven G. Cresawn, Nathan S. Reyna, Ruth Plymale, Welkin H. Pope, Deborah Jacobs-Sera, Charles A. Bowman, Daniel A. Russell, Rebekah M. Dedrick, Tamarah Adair, Kirk R. Anders, Sarah Ball, David Bollivar, Caroline Breitenberger, Sandra H. Burnett, Kristen Butela, Deanna Byrnes, Sarah Carzo, Kathleen A. Cornely, Trevor Cross, Richard L. Daniels, David Dunbar, Ann M. Findley, Chris R. Gissendanner, Urszula P. Golebiewska, Grant A. Hartzog, J. Robert Hatherill, Lee E. Hughes, Chernoh S. Jalloh, Carla De Los Santos, Kevin Ekanem, Sphindile L. Khambule, Rodney A. King, Christina King-Smith, Karen Klyczek, Greg P. Krukonis

Articles

Mycobacteriophages - viruses of mycobacterial hosts - are genetically diverse but morphologically are all classified in the Caudovirales with double-stranded DNA and tails. We describe here a group of five closely related mycobacteriophages - Corndog, Catdawg, Dylan, Firecracker, and YungJamal - designated as Cluster O with long flexible tails but with unusual prolate capsids. Proteomic analysis of phage Corndog particles, Catdawg particles, and Corndog-infected cells confirms expression of half of the predicted gene products and indicates a non-canonical mechanism for translation of the Corndog tape measure protein. Bioinformatic analysis identifies 8-9 strongly predicted SigA promoters and all five Cluster O …

Spectral Gene Set Enrichment (Sgse), H Robert Frost, Zhigang Li, Jason H. Moore

Dartmouth Scholarship

Gene set testing is typically performed in a supervised context to quantify the association between groups of genes and a clinical phenotype. In many cases, however, a gene set-based interpretation of genomic data is desired in the absence of a phenotype variable. Although methods exist for unsupervised gene set testing, they predominantly compute enrichment relative to clusters of the genomic variables with performance strongly dependent on the clustering algorithm and number of clusters. We propose a novel method, spectral gene set enrichment (SGSE), for unsupervised competitive testing of the association between gene sets and empirical data sources. SGSE first computes …

Fighting Microbial Drug Resistance: A Primer On The Role Of Evolutionary Biology In Public Health, Gabriel Perron, R. Inglis, Pleuni Pennings, Sarah Cobey

Biology Department Faculty Works

Although microbes have been evolving resistance to antimicrobials for millennia, the spread of resistance in pathogen populations calls for the development of new drugs and treatment strategies. We propose that successful, long-term resistance management requires a better understanding of how resistance evolves in the first place. This is an opportunity for evolutionary biologists to engage in public health, a collaboration that has substantial precedent. Resistance evolution has been an important tool for developing and testing evolutionary theory, especially theory related to the genetic basis of new traits and constraints on adaptation. The present era is no exception. The articles in …