Evidence map›Paper›PMID 33250873›Full record

ArticleFrontiers in microbiology2020

Combining Microbial Culturing With Mathematical Modeling in an Introductory Course-Based Undergraduate Research Experience.

Robert E Furrow, Hyunsoo G Kim, Samah M R Abdelrazek, Katherine Dahlhausen, Andrew I Yao, Jonathan A Eisen, Mark S Goldman, John G Albeck, Marc T Facciotti

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. A CURE for Microbiology Experiment: Isolation and Characterization of Antimicrobial-Producing Lactic Acid Bacteria From Fermented Sichuan Pickle Against Pathogenic Bacteria.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Robert E FurrowDepartment of Neurobiology, Physiology, and Behavior, Center for Neuroscience, University of California, Davis, Davis, CA, United States.
Hyunsoo G KimGraduate Group in Microbiology, University of California, Davis, Davis, CA, United States.
Samah M R AbdelrazekDepartment of Anatomy, Physiology, and Cell Biology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States.
Katherine DahlhausenGenome Center, University of California, Davis, Davis, CA, United States.
Andrew I YaoGenome Center, University of California, Davis, Davis, CA, United States.
Jonathan A EisenGenome Center, University of California, Davis, Davis, CA, United States.
Mark S GoldmanDepartment of Neurobiology, Physiology, and Behavior, Center for Neuroscience, University of California, Davis, Davis, CA, United States.
John G AlbeckDepartment of Molecular and Cellular Biology, University of California, Davis, Davis, CA, United States.
Marc T FacciottiGenome Center, University of California, Davis, Davis, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative techniques are a critical part of contemporary biology research, but students interested in biology enter college with widely varying quantitative skills and attitudes toward mathematics. Course-based undergraduate research experiences (CUREs) may be an early way to build student competency and positive attitudes. Here we describe the design, implementation, and assessment of an introductory quantitative CURE focused on halophilic microbes. In this CURE, students culture and isolate halophilic microbes from environmental and food samples, perform growth assays, then use mathematical modeling to quantify the growth rate of strains in different salinities. To assess how the course may impact students' future academic plans and attitudes toward the use of math in biology, we used pre- and post-quarter surveys. Students who completed the course showed more positive attitudes toward science learning and an increased interest in pursuing additional quantitative biology experiences. We argue that the classroom application of microbiology methods, combined with mathematical modeling using student-generated data, provides a degree of student ownership, collaboration, iteration, and discovery that makes quantitative learning both relevant and exciting to students.

Indexed as

CUREeducationlogistic growth curve analysismathematical modelingmicrobial culturingmicrobial diversitymicrobiome

Identifiers

PMID33250873
PMCPMC7674939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.