Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1783583952417587200 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7500931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT lizhongming relateenablesgenomescaleengineeringinfungalgenomics AT kimkwangsik relateenablesgenomescaleengineeringinfungalgenomics |