Microbe-ID: an open source toolbox for microbial genotyping and species identification

Author:

Tabima Javier F.1,Everhart Sydney E.12,Larsen Meredith M.3,Weisberg Alexandra J.1,Kamvar Zhian N.1,Tancos Matthew A.4,Smart Christine D.4,Chang Jeff H.15,Grünwald Niklaus J.1345

Affiliation:

1. Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States

2. Department of Plant Pathology, University of Nebraska, Lincoln, NE, United States

3. Horticultural Crops Research Laboratory, USDA Agricultural Research Service, Corvallis, OR, United States

4. Plant Pathology and Plant-Microbe Biology Section, School of Integrative Plant Science, Cornell University, Geneva, NY, United States

5. Molecular and Cellular Biology Graduate Program and Center for Genome Biology and Biocomputing, Oregon State University, Corvallis, OR, United States

Abstract

Development of tools to identify species, genotypes, or novel strains of invasive organisms is critical for monitoring emergence and implementing rapid response measures. Molecular markers, although critical to identifying species or genotypes, require bioinformatic tools for analysis. However, user-friendly analytical tools for fast identification are not readily available. To address this need, we created a web-based set of applications called Microbe-ID that allow for customizing a toolbox for rapid species identification and strain genotyping using any genetic markers of choice. Two components of Microbe-ID, named Sequence-ID and Genotype-ID, implement species and genotype identification, respectively. Sequence-ID allows identification of species by using BLAST to query sequences for any locus of interest against a custom reference sequence database. Genotype-ID allows placement of an unknown multilocus marker in either a minimum spanning network or dendrogram with bootstrap support from a user-created reference database. Microbe-ID can be used for identification of any organism based on nucleotide sequences or any molecular marker type and several examples are provided. We created a public website for demonstration purposes called Microbe-ID (microbe-id.org) and provided a working implementation for the genusPhytophthora(phytophthora-id.org). InPhytophthora-ID, the Sequence-ID application allows identification based on ITS orcoxspacer sequences. Genotype-ID groups individuals into clonal lineages based on simple sequence repeat (SSR) markers for the two invasive plant pathogen speciesP. infestansandP. ramorum. All code is open source and available on github and CRAN. Instructions for installation and use are provided athttps://github.com/grunwaldlab/Microbe-ID.

Funder

US Department of Agriculture (USDA) Agricultural Research Service

USDA National Institute of Food and Agriculture (NIFA)

USDA ARS Floriculture Nursery Research Initiative

USDA NIFA

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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