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RELATe enables genome-scale engineering in fungal genomics

CRISPR-Cas9–based screening with single-guide RNA (sgRNA) libraries has emerged as a revolutionary tool for comprehensive analysis of genetic elements. However, genome-scale sgRNA libraries are currently available only in a few model organisms. The traditional approach is to synthesize thousands to...

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Detalles Bibliográficos
Autores principales: Li, Zhongming, Kim, Kwang Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500931/
https://www.ncbi.nlm.nih.gov/pubmed/32948588
http://dx.doi.org/10.1126/sciadv.abb8783
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author Li, Zhongming
Kim, Kwang Sik
author_facet Li, Zhongming
Kim, Kwang Sik
author_sort Li, Zhongming
collection PubMed
description CRISPR-Cas9–based screening with single-guide RNA (sgRNA) libraries has emerged as a revolutionary tool for comprehensive analysis of genetic elements. However, genome-scale sgRNA libraries are currently available only in a few model organisms. The traditional approach is to synthesize thousands to tens of thousands of sgRNAs, which is laborious and expensive. We have developed a simple method, RELATe (restriction/ligation coupled with Agrobacterium-mediated transformation), to generate sgRNA libraries from 10 μg of genomic DNA, targeting over 98% of the protein-coding genes in the human fungal pathogen Cryptococcus neoformans. Functional screens identified 142 potential C. neoformans genes contributing to blood-brain barrier penetration. We selected two cryptococcal genes, SFP1 and WDR1, for a proof-of-concept demonstration that RELATe-identified genes are relevant to C. neoformans central nervous system infection. Our RELATe method can be used in many other fungal species and is powerful and cost-effective for genome-wide high-throughput screening for elucidating functional genomics.
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spelling pubmed-75009312020-09-24 RELATe enables genome-scale engineering in fungal genomics Li, Zhongming Kim, Kwang Sik Sci Adv Research Articles CRISPR-Cas9–based screening with single-guide RNA (sgRNA) libraries has emerged as a revolutionary tool for comprehensive analysis of genetic elements. However, genome-scale sgRNA libraries are currently available only in a few model organisms. The traditional approach is to synthesize thousands to tens of thousands of sgRNAs, which is laborious and expensive. We have developed a simple method, RELATe (restriction/ligation coupled with Agrobacterium-mediated transformation), to generate sgRNA libraries from 10 μg of genomic DNA, targeting over 98% of the protein-coding genes in the human fungal pathogen Cryptococcus neoformans. Functional screens identified 142 potential C. neoformans genes contributing to blood-brain barrier penetration. We selected two cryptococcal genes, SFP1 and WDR1, for a proof-of-concept demonstration that RELATe-identified genes are relevant to C. neoformans central nervous system infection. Our RELATe method can be used in many other fungal species and is powerful and cost-effective for genome-wide high-throughput screening for elucidating functional genomics. American Association for the Advancement of Science 2020-09-18 /pmc/articles/PMC7500931/ /pubmed/32948588 http://dx.doi.org/10.1126/sciadv.abb8783 Text en Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Li, Zhongming
Kim, Kwang Sik
RELATe enables genome-scale engineering in fungal genomics
title RELATe enables genome-scale engineering in fungal genomics
title_full RELATe enables genome-scale engineering in fungal genomics
title_fullStr RELATe enables genome-scale engineering in fungal genomics
title_full_unstemmed RELATe enables genome-scale engineering in fungal genomics
title_short RELATe enables genome-scale engineering in fungal genomics
title_sort relate enables genome-scale engineering in fungal genomics
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7500931/
https://www.ncbi.nlm.nih.gov/pubmed/32948588
http://dx.doi.org/10.1126/sciadv.abb8783
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