Understanding Genetic Drift with Conceptual and Mathematical Models

Autor/in	Odom, Arthur
Titel	Understanding Genetic Drift with Conceptual and Mathematical Models
Quelle	In: Science Teacher, 89 (2022) 4, S.53-57 (5 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0036-8555
Schlagwörter	Genetics; Mathematical Models; Biodiversity; Evolution; Conservation (Environment); Spreadsheets; Evidence; Science Instruction; Wildlife; Animals; Data Use; Public Policy; Learning Activities; Sociocultural Patterns; Constructivism (Learning); High School Students; Teaching Methods + Suchen Sie Ihr Suchwort? Humangenetik; Mathematical model; Mathematisches Modell; Biodiversität; Conservation; Environment; Konservierung; Bewahung; Umwelt; Spread sheet; Spredsheets; Spreadsheet; Tabellenkalkulation; Evidenz; Teaching of science; Science education; Natural sciences Lessons; Naturwissenschaftlicher Unterricht; Animal; Tier; Tiere; Öffentliche Ordnung; Lernaktivität; Soziokulturelle Theorie; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Teaching method; Lehrmethode; Unterrichtsmethode
Abstract	This article provides two activities, exploring genetic drift of small breeding populations, highlighting the black-footed ferret ("Mustela nigripes"). According to the U.S. Fish and Wildlife service, all black-footed ferrets are descended from 18 individuals, making them extremely vulnerable to genetic drift. They were thought to be extinct until the 1970s and 80s, due to population expansion in the western United States. Activity 1 uses a conceptual computer model to explore fixation and loss in black-footed ferrets. Activity 2 uses a mathematical model in an Excel spreadsheet to examine genetic drift of allele frequencies by varying the initial population number of black-footed ferrets and other nearly-extinct species. These activities offer students the opportunity to construct an explanation of evolution based on evidence and address the pressing need to use data to inform environmental policy for biodiversity protection. (ERIC).
Anmerkungen	National Science Teaching Association. 1840 Wilson Boulevard, Arlington, VA 22201-3000. Tel: 800-722-6782; Fax: 703-243-3924; e-mail: membership@nsta.org; Web site: https://www.nsta.org/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01