Protocol to identify genes important for Candida albicans fitness in diverse environmental conditions using pooled bar-seq screening approach

Identifying genes important for fitness in Candida albicans advances our understanding of this important pathogen of humans. Here, we present a functional genomics approach for assessing fitness through the quantification of strain-specific barcodes. We describe steps for library preparation, propagation of strains, genomic DNA extraction, amplification of barcodes, and sequencing. We then detail the computational analysis of data to determine effect size and statistical significance. For complete details on the use and execution of this protocol, please refer to Xiong et al.<sup>1</sup>.

Authors

Institutions

Publication Details

Journal
STAR Protocols
Published
2025-02-20
DOI
https://doi.org/10.1016/j.xpro.2025.103645
Citations
2
Primary Topic
Antifungal resistance and susceptibility
Type
article
Field-Weighted Citation Impact
2.79

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Protocol to identify genes important for Candida albicans fitness in diverse environmental conditions using pooled bar-seq screening approach

Chad L. Myers, Leah E. Cowen, Emily Xiong, Xiang Zhang et al.
2 citations
STAR Protocols
Antifungal resistance and susceptibility
2.79
article

Protocol to identify genes important for Candida albicans fitness in diverse environmental conditions using pooled bar-seq screening approach

Chad L. Myers, Leah E. Cowen, Emily Xiong, Xiang Zhang, Nicole Robbins
article en
2 citations

Abstract

Identifying genes important for fitness in Candida albicans advances our understanding of this important pathogen of humans. Here, we present a functional genomics approach for assessing fitness through the quantification of strain-specific barcodes. We describe steps for library preparation, propagation of strains, genomic DNA extraction, amplification of barcodes, and sequencing. We then detail the computational analysis of data to determine effect size and statistical significance. For complete details on the use and execution of this protocol, please refer to Xiong et al.<sup>1</sup>.

STAR ProtocolsVol. 6(1)
University of Minnesota (US), University of Toronto (CA)
National Institutes of Health, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada
Life in Land
Openalex Percentile: Top 12%
Antifungal resistance and susceptibility
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.