Construction of multi-targeted CRISPR libraries in tomato to overcome functional redundancy at genome-scale level

Genetic variance is vital for breeding programs and mutant screening, yet traditional mutagenesis methods wrestle with genetic redundancy and a lack of specificity in gene targeting. CRISPR-Cas9 offers precise, site-specific gene editing, but its application in crop improvement has been limited by scalability challenges. In this study, we develop genome-wide multi-targeted CRISPR libraries in tomato, enhancing the scalability of CRISPR gene editing in crops and addressing the challenges of redundancy while maintaining its precision. We design 15,804 unique single guide RNAs (sgRNAs), each targeting multiple genes within the same gene families. These sgRNAs are classified into 10 sub-libraries based on gene function. We generate approximately 1300 independent CRISPR lines and successfully identify mutants with distinct phenotypes related to fruit development, fruit flavor, nutrient uptake, and pathogen response. Additionally, we develop CRISPR-GuideMap, a double-barcode tagging system to enable large-scale sgRNA tracking in generated plants. Our results demonstrate that multi-targeted CRISPR libraries are scalable and effective for large-scale gene editing and offer an approach to overcome gene functional redundancy in basic plant research and crop breeding.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-05-02
DOI
https://doi.org/10.1038/s41467-025-59280-6
Citations
19
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
15.31

Funders

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

Construction of multi-targeted CRISPR libraries in tomato to overcome functional redundancy at genome-scale level

Itay Mayrose, Udi Landau, Joydeep Chakraborty, Bao‐Zhu Yuan et al.
19 citations
Nature Communications
CRISPR and Genetic Engineering
15.31
article

Construction of multi-targeted CRISPR libraries in tomato to overcome functional redundancy at genome-scale level

Itay Mayrose, Udi Landau, Joydeep Chakraborty, Bao‐Zhu Yuan, Eilon Sharon, Amichai Berman, Osnat Yanai, Ning Su, Wei Wei, Yuqin Zhang, Yu Qin, Jia Liu, Zhuorong Li, Natali Gerbi
article en
19 citations

Abstract

Genetic variance is vital for breeding programs and mutant screening, yet traditional mutagenesis methods wrestle with genetic redundancy and a lack of specificity in gene targeting. CRISPR-Cas9 offers precise, site-specific gene editing, but its application in crop improvement has been limited by scalability challenges. In this study, we develop genome-wide multi-targeted CRISPR libraries in tomato, enhancing the scalability of CRISPR gene editing in crops and addressing the challenges of redundancy while maintaining its precision. We design 15,804 unique single guide RNAs (sgRNAs), each targeting multiple genes within the same gene families. These sgRNAs are classified into 10 sub-libraries based on gene function. We generate approximately 1300 independent CRISPR lines and successfully identify mutants with distinct phenotypes related to fruit development, fruit flavor, nutrient uptake, and pathogen response. Additionally, we develop CRISPR-GuideMap, a double-barcode tagging system to enable large-scale sgRNA tracking in generated plants. Our results demonstrate that multi-targeted CRISPR libraries are scalable and effective for large-scale gene editing and offer an approach to overcome gene functional redundancy in basic plant research and crop breeding.

Nature CommunicationsVol. 16(1)
Tel Aviv University (IL), Netivei Israel (Israel) (IL), Institute of Genetics and Developmental Biology (CN), University of Chinese Academy of Sciences (CN)
Ministry of Environmental Protection, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Zero hunger
Openalex Percentile: Top 1%
CRISPR and Genetic Engineering
15.31
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.