Drug-Resistant Tuberculosis: A Genetic Analysis Using Online Bioinformatics Tools

Autor/inn/en	Taylor, Jessica M.; Davidson, Rebecca M.; Strong, Michael
Titel	Drug-Resistant Tuberculosis: A Genetic Analysis Using Online Bioinformatics Tools
Quelle	In: American Biology Teacher, 76 (2014) 6, S.386-394 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0002-7685
DOI	10.1525/abt.2014.76.6.6
Schlagwörter	Biology; Information Science; Public Health; Communicable Diseases; Drug Therapy; Vignettes; Simulation; High School Students; Undergraduate Students; Secondary School Science; College Science; Concept Formation; Teaching Methods; Science Activities + Suchen Sie Ihr Suchwort? Biologie; Informationswissenschaft; Gesundheitswesen; Contagious disease; Contagious diseases; Communicable disease; Infektionskrankheit; Simulation program; Simulationsprogramm; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Concept learning; Begriffsbildung; Teaching method; Lehrmethode; Unterrichtsmethode
Abstract	Tuberculosis (TB) continues to be a serious global health problem, resulting in >1.4 million deaths each year. Of increasing concern is the evolution of antibiotic resistant strains of the bacterium that causes TB. Using this real-world scenario, we created a 90-minute activity for high school or undergraduate students to use online bioinformatics tools to detect single-nucleotide polymorphisms (SNPs) between a wild-type and a variant "Mycobacterium tuberculosis" gene that could confer resistance to a commonly used TB antibiotic, rifampin. Students write a scientific explanation, providing evidence and reasoning, to support their claim of antibiotic resistance or susceptibility. The entire lesson can be found online at http://www.stronglab.org/taylor. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10