25 research outputs found
Rapid evolution of fluoroquinolone-resistant Escherichia coli in Nigeria is temporally associated with fluoroquinolone use
No full textThe genetic basis for antimicrobial resistance was studied in fecal Escherichia coli isolates in a Nigerian community in parallel with antimicrobial use. The results showed that fluoroquinolones, and not chloroquine as has been hypothesized elsewhere, appear to be the selective force for fluoroquinolone-resistant fecal E. coli in this setting. Jennie Crowe and Rebeccah Lijek are student co-authors. --author-supplied descriptio
Supplementary data for manuscript: The developmental gene <em>disco</em> regulates diel-niche evolution in adult moths
No full text
Supporting Information for
The developmental gene disco regulates diel-niche evolution in adult moths
Authors: Yash Sondhi, Rebeccah L. Messcher, Anthony J. Bellantuano, Caroline G. Storer, Scott D. Cinel, R. Keating Godfrey, Deborah Glass, Ryan A. St Laurent, Chris A. Hamilton, Chandra Earl, Colin J. Brislawn, Ian J. Kitching, Seth M. Bybee, Jamie C. Theobald, Akito Y. Kawahara
Supp_dataset_1: EdgeR: EdgeR sample metadata, analysis parameters (config files for RasFlow), differentially expressed gene sets, annotated DEG sets with Bombyx mori annotations for Anisota pellucida (Ap) and Dryocampa rubicunda (Dr). Overlapping genes between Anisota and Dryocampa. Analysis performed with de-novo assembly versions 5 for both species.
Supp_dataset_2: DESeq2: DESeq2 sample metadata, analysis parameters (R script), differentially expressed gene sets, and annotated DEG sets with Bombyx mori annotations for Anisota pellucida (Ap) and Dryocampa rubicunda (Dr). Unique and overlapping genes between Anisota and Dryocampa. Analysis performed with de-novo assembly versions 5 for both species.
Supp_dataset_3: Supporting_Table_Common_RNAseq: Overlapping genes for both analyses with a pivot table summary of the different unique Bombyx genes and the number of transcripts mapped to each.
Supp_dataset_4: Gene_modules_WGCNA: WGCNA identified modules for Anisota and Dryocampa individual count data and combined modules along with annotations of the (grey60, tan, turquoise and blue) modules.
Supp_dataset_5: GO_analyses: TopGO, ShinyGo and Revigo analyses
Supp_dataset_6:Analyses_combined:All analyses results combined and annotated, with FC
Supp_dataset_7: Overlap_common_genes_annotated_with_sequence: Overlapping transcripts annotated with sequences for both species and Bombyx mori. Note to combine analyses fold change signs were switched for EdgeR changed.
Supp_dataset_8_EggNOG_annotations: EggNog annotations of the various sequences in dataset 7 and the GO terms used to query this dataset
Supp_datatset_9: GO_lookup_genes: Genes recovered from the GO cross referencing with EggNOG annotations
Supp_dataset_10: Genes of interest for which conservation and protein models were constructed
Supp_dataset_11: Assembly_codes: 11a:List of moths and assembly codes used 11b: List of insects and assembly codes used for Orthofinder searches
Supp_dataset_12_Alphafold_Bmor_models: Alphafold predicted models for Bombyx genes of interest
Supp_dataset_13_Conservation analyses: Consurf predicted models and conservation analyses for insects and moths
Supp_dataset_14_PyMOL: PyMOL files showcasing the overlapping protein structures</p
Fig. 1 in A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins
No full textFig. 1 | Evolutionaryrelationshipsanddiversificationpatternsofbutterflies. Time-calibratedtreeof 2,244 butterflyspeciesbasedon 391 loci and 150 amino acidpartitions.Branchesshowdistinctchangesindiversification (circles) asestimatedbyclade-specificmodels.Lettersatnodesrefertocladeswith significantrateshifts (seesection 6 of Supplementary Results).Colouredlines intheouterringbesidetipsindicateassociationwithoneof the 13 hostmodules (seesection 17 of Extended Online Methods).Blacklinesinthehostassociation ringindicatespecieswithoutdata,andasterisksdenotenon-monophyletic subfamilies.Supplementary Fig. 1 showsthistreewithvisiblespeciesnamesand agesforallnodes.Published as part of Kawahara, Akito Y., Storer, Caroline, Carvalho, Ana Paula S., Plotkin, David M., Condamine, Fabien L., Braga, Mariana P., Ellis, Emily A., St Laurent, Ryan A., Li, Xuankun, Barve, Vijay, Cai, Liming, Earl, Chandra, Frandsen, Paul B., Owens, Hannah L., Valencia-Montoya, Wendy A., Aduse-Poku, Kwaku, Toussaint, Emmanuel F. A., Dexter, Kelly M., Doleck, Tenzing, Markee, Amanda, Messcher, Rebeccah, Nguyen, Y-Lan, Badon, Jade Aster T., Benítez, Hugo A., Braby, Michael F., Buenavente, Perry A. C., Chan, Wei-Ping, Collins, Steve C., Rabideau Childers, Richard A., Dankowicz, Even, Eastwood, Rod, Fric, Zdenek F., Gott, Riley J., Hall, Jason P. W., Hallwachs, Winnie, Hardy, Nate B., Sipe, Rachel L. Hawkins, Heath, Alan, Hinolan, Jomar D., Homziak, Nicholas T., Hsu, Yu-Feng, Inayoshi, Yutaka, Itliong, Micael G. A., Janzen, Daniel H., Kitching, Ian J., Kunte, Krushnamegh, Lamas, Gerardo, Landis, Michael J., Larsen, Elise A., Larsen, Torben B., Leong, Jing V., Lukhtanov, Vladimir, Maier, Crystal A., Martinez, Jose I., Martins, Dino J., Maruyama, Kiyoshi, Maunsell, Sarah C., Mega, Nicolás Oliveira, Monastyrskii, Alexander, Morais, Ana B. B., Müller, Chris J., Naive, Mark Arcebal K., Nielsen, Gregory, Padrón, Pablo Sebastián, Peggie, Djunijanti, Romanowski, Helena Piccoli, Sáfián, Szabolcs, Saito, Motoki, Schröder, Stefan, Shirey, Vaughn, Soltis, Doug, Soltis, Pamela, Sourakov, Andrei, Talavera, Gerard, Vila, Roger, Vlasanek, Petr, Wang, Houshuai, Warren, Andrew D., Willmott, Keith R., Yago, Masaya, Jetz, Walter, Jarzyna, Marta A., Breinholt, Jesse W., Espeland, Marianne, Ries, Leslie, Guralnick, Robert P., Pierce, Naomi E. & Lohman, David J., 2023, Nature Ecology & Evolution CLXVI (CLXVI) on pages 1-15, DOI: 10.1038/s41559-023-02041-9, http://zenodo.org/record/796351
Fig.3 in A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins
No full textFig.3 | Relativemeandispersalratesofbutterfliesbetweenbioregions. Numbersbesideeacharrowareaverageratesfrom 1,000 simulationsusing biogeographicstochasticmappingin BioGeoBEARS. Thesenumbersweredividedby 100 foreaseof comparison (rawvaluescanbefoundin Supplementary Data 5). E., Eastern;W., Western.Published as part of Kawahara, Akito Y., Storer, Caroline, Carvalho, Ana Paula S., Plotkin, David M., Condamine, Fabien L., Braga, Mariana P., Ellis, Emily A., St Laurent, Ryan A., Li, Xuankun, Barve, Vijay, Cai, Liming, Earl, Chandra, Frandsen, Paul B., Owens, Hannah L., Valencia-Montoya, Wendy A., Aduse-Poku, Kwaku, Toussaint, Emmanuel F. A., Dexter, Kelly M., Doleck, Tenzing, Markee, Amanda, Messcher, Rebeccah, Nguyen, Y-Lan, Badon, Jade Aster T., Benítez, Hugo A., Braby, Michael F., Buenavente, Perry A. C., Chan, Wei-Ping, Collins, Steve C., Rabideau Childers, Richard A., Dankowicz, Even, Eastwood, Rod, Fric, Zdenek F., Gott, Riley J., Hall, Jason P. W., Hallwachs, Winnie, Hardy, Nate B., Sipe, Rachel L. Hawkins, Heath, Alan, Hinolan, Jomar D., Homziak, Nicholas T., Hsu, Yu-Feng, Inayoshi, Yutaka, Itliong, Micael G. A., Janzen, Daniel H., Kitching, Ian J., Kunte, Krushnamegh, Lamas, Gerardo, Landis, Michael J., Larsen, Elise A., Larsen, Torben B., Leong, Jing V., Lukhtanov, Vladimir, Maier, Crystal A., Martinez, Jose I., Martins, Dino J., Maruyama, Kiyoshi, Maunsell, Sarah C., Mega, Nicolás Oliveira, Monastyrskii, Alexander, Morais, Ana B. B., Müller, Chris J., Naive, Mark Arcebal K., Nielsen, Gregory, Padrón, Pablo Sebastián, Peggie, Djunijanti, Romanowski, Helena Piccoli, Sáfián, Szabolcs, Saito, Motoki, Schröder, Stefan, Shirey, Vaughn, Soltis, Doug, Soltis, Pamela, Sourakov, Andrei, Talavera, Gerard, Vila, Roger, Vlasanek, Petr, Wang, Houshuai, Warren, Andrew D., Willmott, Keith R., Yago, Masaya, Jetz, Walter, Jarzyna, Marta A., Breinholt, Jesse W., Espeland, Marianne, Ries, Leslie, Guralnick, Robert P., Pierce, Naomi E. & Lohman, David J., 2023, Nature Ecology & Evolution CLXVI (CLXVI) on pages 1-15, DOI: 10.1038/s41559-023-02041-9, http://zenodo.org/record/796351
Fig. 2 in A global phylogeny of butterflies reveals their evolutionary history, ancestral hosts and biogeographic origins
No full textFig. 2 | Distributionofbutterfliesovertime. Bioregionshadingindicatesthenumberofbutterflylineagesthatwereassociatedwiththatbioregionduringthattime period,asdeterminedby BioGeoBEARSancestralstatereconstruction.Eachmapcorrespondstoa 15-Maintervalofbutterfly evolution.Resultsarebasedon data fromthisstudy.Published as part of Kawahara, Akito Y., Storer, Caroline, Carvalho, Ana Paula S., Plotkin, David M., Condamine, Fabien L., Braga, Mariana P., Ellis, Emily A., St Laurent, Ryan A., Li, Xuankun, Barve, Vijay, Cai, Liming, Earl, Chandra, Frandsen, Paul B., Owens, Hannah L., Valencia-Montoya, Wendy A., Aduse-Poku, Kwaku, Toussaint, Emmanuel F. A., Dexter, Kelly M., Doleck, Tenzing, Markee, Amanda, Messcher, Rebeccah, Nguyen, Y-Lan, Badon, Jade Aster T., Benítez, Hugo A., Braby, Michael F., Buenavente, Perry A. C., Chan, Wei-Ping, Collins, Steve C., Rabideau Childers, Richard A., Dankowicz, Even, Eastwood, Rod, Fric, Zdenek F., Gott, Riley J., Hall, Jason P. W., Hallwachs, Winnie, Hardy, Nate B., Sipe, Rachel L. Hawkins, Heath, Alan, Hinolan, Jomar D., Homziak, Nicholas T., Hsu, Yu-Feng, Inayoshi, Yutaka, Itliong, Micael G. A., Janzen, Daniel H., Kitching, Ian J., Kunte, Krushnamegh, Lamas, Gerardo, Landis, Michael J., Larsen, Elise A., Larsen, Torben B., Leong, Jing V., Lukhtanov, Vladimir, Maier, Crystal A., Martinez, Jose I., Martins, Dino J., Maruyama, Kiyoshi, Maunsell, Sarah C., Mega, Nicolás Oliveira, Monastyrskii, Alexander, Morais, Ana B. B., Müller, Chris J., Naive, Mark Arcebal K., Nielsen, Gregory, Padrón, Pablo Sebastián, Peggie, Djunijanti, Romanowski, Helena Piccoli, Sáfián, Szabolcs, Saito, Motoki, Schröder, Stefan, Shirey, Vaughn, Soltis, Doug, Soltis, Pamela, Sourakov, Andrei, Talavera, Gerard, Vila, Roger, Vlasanek, Petr, Wang, Houshuai, Warren, Andrew D., Willmott, Keith R., Yago, Masaya, Jetz, Walter, Jarzyna, Marta A., Breinholt, Jesse W., Espeland, Marianne, Ries, Leslie, Guralnick, Robert P., Pierce, Naomi E. & Lohman, David J., 2023, Nature Ecology & Evolution CLXVI (CLXVI) on pages 1-15, DOI: 10.1038/s41559-023-02041-9, http://zenodo.org/record/796351
The Quaker City: George Lippard's critique of capitalism through sensational advocacy for the disenfranchised
No full textThesis (M.A.)-- Wichita State University, College of Liberal Arts and Sciences, Dept. of EnglishNineteenth-century author and journalist George Lippard advocated for the
underprivileged by devoting himself to his self-founded labor union, "The Brotherhood of the
Union," as well as by incorporating fresh and fiery commentary on the political issues of the day
into his fiction. Novels like Empire City and New York addressed corruption in local politics,
exploitative practices in the emerging finance industry, and the horrors of slavery. Yet, Lippard's
most popular work, The Quaker City, or the Monks of Monk Hall (1845), most clearly provides a
gritty and sensationalized depiction of the political and social corruption rampant in Philadelphia
in the mid-1800s.
In the following thesis, I explore how George Lippard's novel engages with the
antebellum period's unique intersection of spectacle, disability, and labor in order to argue that,
through the character of Devil Bug, Lippard exemplifies how a marginalized body might make
his own way as an independent businessman amidst the capitalist society that attempts to exploit
or negate bodies like his own. In my first section, I turn to the sensationalist popular culture that
prevailed in Lippard's time (freak shows, dime museums, city penny papers, etc.) and his own
engagement with this culture that turned the human body into spectacular entertainment. In my
second section, I further argue how the rise of Northern factory systems reinforced the notion of
the body as an object to be capitalized upon, and how I see Lippard rejecting this corruption of
the body. My final section examines Devil Bug's success operating within this capitalist system,
despite his non-normative physicality. However, I also uncover the drawbacks of Devil Bug's
participation in the capitalist system: although Devil Bug attempts to counteract his isolated
"abnormal" physical state by developing relationships, his all-consuming "goold"-focused
mindset problematically drives him to define these relationships as economic transactions
Composing the body: narrative in the age of improvisation, 1770-1867
No full textThis dissertation analyzes how antebellum authors appropriated music—as bodily sentiment, scientific theory, and performative practice—to negotiate the social tensions that afflicted nineteenth century American culture. Drawing on a diverse archive of primary materials, I argue that music’s development into an improvisational aesthetic inspired sentimental authors to integrate musical form and theory into their compositional practices in ways that allowed them to explore the limits and freedoms of feeling. Pro-slavery southerners like Caroline Lee Hentz and Augusta Evans recognized a resemblance between European improvisation and the formless melodies of slave songs, forcing them to try to distinguish a white, sentimental musicality from “the wild, sad strains” of the slave. But other authors, including Herman Melville and Lydia Maria Child, took up the intersection of white and black musicality to recommend a new form of sympathetic listening, thereby challenging the nation’s dominate attitudes toward race.Item withdrawn by Mark Zulauf ([email protected]) on 2012-07-02T18:13:28Z
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