Fascination with Fluctuation: Luria and Delbrück’s Legacy

Author:

Robeva Raina S.1,Jungck John R.2ORCID

Affiliation:

1. Department of Mathematics, Randolph-Macon College, Ashland, VA 23005, USA

2. Departments of Biological Sciences and Mathematical Sciences, University of Delaware, Newark, DE 19716, USA

Abstract

While Luria and Delbrück’s seminal work has found its way to some college biology textbooks, it is now largely absent from those in mathematics. This is a significant omission, and we consider it a missed opportunity to present a celebrated conceptual model that provides an authentic and, in many ways, intuitive example of the quantifiable nature of stochasticity. We argue that it is an important topic that could enrich the educational literature in mathematics, from the introductory to advanced levels, opening many doors to undergraduate research. The paper has two main parts. First, we present in detail the mathematical theory behind the Luria–Delbrück model and make suggestions for further readings from the literature. We also give ideas for inclusion in various mathematics courses and for projects that can be used in regular courses, independent projects, or as starting points for student research. Second, we briefly review available hands-on activities as pedagogical ways to facilitate problem posing, problem-based learning, and investigative case-based learning and to expose students to experiments leading to Poisson distributions. These help students with even limited mathematics backgrounds understand the significance of Luria–Delbrück’s work for determining mutation rates and its impact on many fields, including cancer chemotherapy, antibiotic resistance, radiation, and environmental screening for mutagens and teratogens.

Funder

Karl E. Peace Fellowship in Mathematics at Randolph-Macon College, Ashland, VA, USA.

Publisher

MDPI AG

Subject

Geometry and Topology,Logic,Mathematical Physics,Algebra and Number Theory,Analysis

Reference155 articles.

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3. National Research Council (2009). A New Biology for the 21st Century, National Academies Press.

4. Mathematical biology education: Changes, communities, connections, and challenges;Jungck;Bull. Math. Biol.,2020

5. National Research Council (2013). The Mathematical Sciences in 2025, National Academies Press.

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