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Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants

Genetic screening using random transposon insertions has been a powerful tool for uncovering biology in prokaryotes, where whole-genome saturating screens have been performed in multiple organisms. In eukaryotes, such screens have proven more problematic, in part because of the lack of a sensitive a...

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Autores principales: Bronner, Iraad F., Otto, Thomas D., Zhang, Min, Udenze, Kenneth, Wang, Chengqi, Quail, Michael A., Jiang, Rays H.Y., Adams, John H., Rayner, Julian C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937560/
https://www.ncbi.nlm.nih.gov/pubmed/27197223
http://dx.doi.org/10.1101/gr.200279.115
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author Bronner, Iraad F.
Otto, Thomas D.
Zhang, Min
Udenze, Kenneth
Wang, Chengqi
Quail, Michael A.
Jiang, Rays H.Y.
Adams, John H.
Rayner, Julian C.
author_facet Bronner, Iraad F.
Otto, Thomas D.
Zhang, Min
Udenze, Kenneth
Wang, Chengqi
Quail, Michael A.
Jiang, Rays H.Y.
Adams, John H.
Rayner, Julian C.
author_sort Bronner, Iraad F.
collection PubMed
description Genetic screening using random transposon insertions has been a powerful tool for uncovering biology in prokaryotes, where whole-genome saturating screens have been performed in multiple organisms. In eukaryotes, such screens have proven more problematic, in part because of the lack of a sensitive and robust system for identifying transposon insertion sites. We here describe quantitative insertion-site sequencing, or QIseq, which uses custom library preparation and Illumina sequencing technology and is able to identify insertion sites from both the 5′ and 3′ ends of the transposon, providing an inbuilt level of validation. The approach was developed using piggyBac mutants in the human malaria parasite Plasmodium falciparum but should be applicable to many other eukaryotic genomes. QIseq proved accurate, confirming known sites in >100 mutants, and sensitive, identifying and monitoring sites over a >10,000-fold dynamic range of sequence counts. Applying QIseq to uncloned parasites shortly after transfections revealed multiple insertions in mixed populations and suggests that >4000 independent mutants could be generated from relatively modest scales of transfection, providing a clear pathway to genome-scale screens in P. falciparum. QIseq was also used to monitor the growth of pools of previously cloned mutants and reproducibly differentiated between deleterious and neutral mutations in competitive growth. Among the mutants with fitness defects was a mutant with a piggyBac insertion immediately upstream of the kelch protein K13 gene associated with artemisinin resistance, implying mutants in this gene may have competitive fitness costs. QIseq has the potential to enable the scale-up of piggyBac-mediated genetics across multiple eukaryotic systems.
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spelling pubmed-49375602016-07-22 Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants Bronner, Iraad F. Otto, Thomas D. Zhang, Min Udenze, Kenneth Wang, Chengqi Quail, Michael A. Jiang, Rays H.Y. Adams, John H. Rayner, Julian C. Genome Res Method Genetic screening using random transposon insertions has been a powerful tool for uncovering biology in prokaryotes, where whole-genome saturating screens have been performed in multiple organisms. In eukaryotes, such screens have proven more problematic, in part because of the lack of a sensitive and robust system for identifying transposon insertion sites. We here describe quantitative insertion-site sequencing, or QIseq, which uses custom library preparation and Illumina sequencing technology and is able to identify insertion sites from both the 5′ and 3′ ends of the transposon, providing an inbuilt level of validation. The approach was developed using piggyBac mutants in the human malaria parasite Plasmodium falciparum but should be applicable to many other eukaryotic genomes. QIseq proved accurate, confirming known sites in >100 mutants, and sensitive, identifying and monitoring sites over a >10,000-fold dynamic range of sequence counts. Applying QIseq to uncloned parasites shortly after transfections revealed multiple insertions in mixed populations and suggests that >4000 independent mutants could be generated from relatively modest scales of transfection, providing a clear pathway to genome-scale screens in P. falciparum. QIseq was also used to monitor the growth of pools of previously cloned mutants and reproducibly differentiated between deleterious and neutral mutations in competitive growth. Among the mutants with fitness defects was a mutant with a piggyBac insertion immediately upstream of the kelch protein K13 gene associated with artemisinin resistance, implying mutants in this gene may have competitive fitness costs. QIseq has the potential to enable the scale-up of piggyBac-mediated genetics across multiple eukaryotic systems. Cold Spring Harbor Laboratory Press 2016-07 /pmc/articles/PMC4937560/ /pubmed/27197223 http://dx.doi.org/10.1101/gr.200279.115 Text en © 2016 Bronner et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.
spellingShingle Method
Bronner, Iraad F.
Otto, Thomas D.
Zhang, Min
Udenze, Kenneth
Wang, Chengqi
Quail, Michael A.
Jiang, Rays H.Y.
Adams, John H.
Rayner, Julian C.
Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants
title Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants
title_full Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants
title_fullStr Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants
title_full_unstemmed Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants
title_short Quantitative insertion-site sequencing (QIseq) for high throughput phenotyping of transposon mutants
title_sort quantitative insertion-site sequencing (qiseq) for high throughput phenotyping of transposon mutants
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937560/
https://www.ncbi.nlm.nih.gov/pubmed/27197223
http://dx.doi.org/10.1101/gr.200279.115
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