Resequencing of Microbial Isolates: A Lab Module to Introduce Novices to Command-Line Bioinformatics

• Published in: Frontiers in microbiology Vol. 12; p. 578859
• Main Authors: Petrie, Katherine Lynn, Xie, Rujia
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 16.03.2021
• Subjects: bioinformatics; bioinformatics tutorial; breseq; CURE; Microbiology; next-generation sequencing; resequencing; CURE; breseq; next-generation sequencing; bioinformatics tutorial; resequencing; bioinformatics
• ISSN: 1664-302X; 1664-302X
• DOI: 10.3389/fmicb.2021.578859

Familiarity with genome-scale data and the bioinformatic skills to analyze it have become essential for understanding and advancing modern biology and human health, yet many undergraduate biology majors are never exposed to hands-on bioinformatics. This paper presents a module that introduces students to applied bioinformatic analysis within the context of a research-based microbiology lab course. One of the most commonly used genomic analyses in biology is resequencing: determining the sequence of DNA bases in a derived strain of some organism, and comparing it to the known ancestral genome of that organism to better understand the phenotypic differences between them. Many existing CUREs - Course Based Undergraduate Research Experiences - evolve or select new strains of bacteria and compare them phenotypically to ancestral strains. This paper covers standardized strategies and procedures, accessible to undergraduates, for preparing and analyzing microbial whole-genome resequencing data to examine the genotypic differences between such strains. Wet-lab protocols and computational tutorials are provided, along with additional guidelines for educators, providing instructors without a next-generation sequencing or bioinformatics background the necessary information to incorporate whole-genome sequencing and command-line analysis into their class. This module introduces novice students to running software at the command-line, giving them exposure and familiarity with the types of tools that make up the vast majority of open-source scientific software used in contemporary biology. Completion of the module improves student attitudes toward computing, which may make them more likely to pursue further bioinformatics study.