A quick-to-implement and optimized CRISPR-Cas9 protocol to obtain insertional and small indel mutants in Chlamydomonas reinhardtii

<i>Chlamydomonas reinhardtii</i> is a leading model organism in algal research, widely used to study photosynthesis, chloroplast and cilia biology, and more recently, metabolism, light signaling, the cell cycle, and algal biotechnology. Its sequenced genome has significantly accelerated research in the field, while improved genome-editing tools are key to advancing reverse genetics and genetic engineering. Building on previous advances, we present a streamlined and efficient CRISPR-Cas9 protocol for generating knockout mutants in Chlamydomonas via non-homologous end joining (NHEJ), using only commercially available reagents. Additionally, we introduce a cost-effective, PCR-based screening method capable of detecting mutants with large insertions as well as short indels -as small as one base pair- thereby enhancing overall CRISPR efficiency.•This protocol is easy to setup and can be fully executed using commercially available reagents.•This protocol allows for quick implementation and generation of mutants: 5 weeks from design to sequencing of candidate mutants.•This protocol describes a novel PCR-based strategy to identify mutants containing short indels. Screening is designed to identify large insertion mutants and the often overlooked small indel mutants.

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Publication Details

Journal
MethodsX
Published
2025-06-11
DOI
https://doi.org/10.1016/j.mex.2025.103416
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.81

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article

A quick-to-implement and optimized CRISPR-Cas9 protocol to obtain insertional and small indel mutants in Chlamydomonas reinhardtii

Elena Monte, Camila Sánchez‐Retuerta, Olga Baidukova, M. Águila Ruiz‐Sola et al.
1 citations
MethodsX
CRISPR and Genetic Engineering
0.81
article

A quick-to-implement and optimized CRISPR-Cas9 protocol to obtain insertional and small indel mutants in Chlamydomonas reinhardtii

Elena Monte, Camila Sánchez‐Retuerta, Olga Baidukova, M. Águila Ruiz‐Sola, Mariano A De Silvio
article en
1 citations

Abstract

<i>Chlamydomonas reinhardtii</i> is a leading model organism in algal research, widely used to study photosynthesis, chloroplast and cilia biology, and more recently, metabolism, light signaling, the cell cycle, and algal biotechnology. Its sequenced genome has significantly accelerated research in the field, while improved genome-editing tools are key to advancing reverse genetics and genetic engineering. Building on previous advances, we present a streamlined and efficient CRISPR-Cas9 protocol for generating knockout mutants in Chlamydomonas via non-homologous end joining (NHEJ), using only commercially available reagents. Additionally, we introduce a cost-effective, PCR-based screening method capable of detecting mutants with large insertions as well as short indels -as small as one base pair- thereby enhancing overall CRISPR efficiency.•This protocol is easy to setup and can be fully executed using commercially available reagents.•This protocol allows for quick implementation and generation of mutants: 5 weeks from design to sequencing of candidate mutants.•This protocol describes a novel PCR-based strategy to identify mutants containing short indels. Screening is designed to identify large insertion mutants and the often overlooked small indel mutants.

MethodsXVol. 15
Consejo Superior de Investigaciones Científicas (ES), Humboldt-Universität zu Berlin (DE), Instituto de Bioquímica Vegetal y Fotosíntesis (ES), Centro de Investigaciones Científicas Isla de la Cartuja (ES), Center for Research in Agricultural Genomics (ES), Universidad de Sevilla (ES)
Ministerio de Ciencia, Innovación y Universidades, Centres de Recerca de Catalunya, Generalitat de Catalunya, Ministerio de Economía y Competitividad, Agència de Gestió d'Ajuts Universitaris i de Recerca, European Regional Development Fund, Agencia Estatal de Investigación, European Social Fund
Openalex Percentile: Top 27%
CRISPR and Genetic Engineering
0.81
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