Literature DB >> 33416493

A simple and effective F0 knockout method for rapid screening of behaviour and other complex phenotypes.

François Kroll1, Gareth T Powell1, Marcus Ghosh1, Gaia Gestri1, Paride Antinucci2, Timothy J Hearn1, Hande Tunbak3, Sumi Lim1, Harvey W Dennis4, Joseph M Fernandez5, David Whitmore1,6, Elena Dreosti3, Stephen W Wilson1, Ellen J Hoffman5,7, Jason Rihel1.   

Abstract

Hundreds of human genes are associated with neurological diseases, but translation into tractable biological mechanisms is lagging. Larval zebrafish are an attractive model to investigate genetic contributions to neurological diseases. However, current CRISPR-Cas9 methods are difficult to apply to large genetic screens studying behavioural phenotypes. To facilitate rapid genetic screening, we developed a simple sequencing-free tool to validate gRNAs and a highly effective CRISPR-Cas9 method capable of converting >90% of injected embryos directly into F0 biallelic knockouts. We demonstrate that F0 knockouts reliably recapitulate complex mutant phenotypes, such as altered molecular rhythms of the circadian clock, escape responses to irritants, and multi-parameter day-night locomotor behaviours. The technique is sufficiently robust to knockout multiple genes in the same animal, for example to create the transparent triple knockout crystal fish for imaging. Our F0 knockout method cuts the experimental time from gene to behavioural phenotype in zebrafish from months to one week.
© 2021, Kroll et al.

Entities:  

Keywords:  CRISPR; G0; behaviour; circadian rhythm; genetics; genomics; knockout; neuroscience; sleep; zebrafish

Mesh:

Substances:

Year:  2021        PMID: 33416493      PMCID: PMC7793621          DOI: 10.7554/eLife.59683

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  77 in total

1.  Highly Efficient CRISPR-Cas9-Based Methods for Generating Deletion Mutations and F0 Embryos that Lack Gene Function in Zebrafish.

Authors:  Kazuyuki Hoshijima; Michael J Jurynec; Dana Klatt Shaw; Ashley M Jacobi; Mark A Behlke; David Jonah Grunwald
Journal:  Dev Cell       Date:  2019-11-07       Impact factor: 12.270

2.  SLC24A5, a putative cation exchanger, affects pigmentation in zebrafish and humans.

Authors:  Rebecca L Lamason; Manzoor-Ali P K Mohideen; Jason R Mest; Andrew C Wong; Heather L Norton; Michele C Aros; Michael J Jurynec; Xianyun Mao; Vanessa R Humphreville; Jasper E Humbert; Soniya Sinha; Jessica L Moore; Pudur Jagadeeswaran; Wei Zhao; Gang Ning; Izabela Makalowska; Paul M McKeigue; David O'donnell; Rick Kittles; Esteban J Parra; Nancy J Mangini; David J Grunwald; Mark D Shriver; Victor A Canfield; Keith C Cheng
Journal:  Science       Date:  2005-12-16       Impact factor: 47.728

3.  High-throughput gene targeting and phenotyping in zebrafish using CRISPR/Cas9.

Authors:  Gaurav K Varshney; Wuhong Pei; Matthew C LaFave; Jennifer Idol; Lisha Xu; Viviana Gallardo; Blake Carrington; Kevin Bishop; MaryPat Jones; Mingyu Li; Ursula Harper; Sunny C Huang; Anupam Prakash; Wenbiao Chen; Raman Sood; Johan Ledin; Shawn M Burgess
Journal:  Genome Res       Date:  2015-06-05       Impact factor: 9.043

4.  One-step generation of complete gene knockout mice and monkeys by CRISPR/Cas9-mediated gene editing with multiple sgRNAs.

Authors:  Erwei Zuo; Yi-Jun Cai; Kui Li; Yu Wei; Bang-An Wang; Yidi Sun; Zhen Liu; Jiwei Liu; Xinde Hu; Wei Wei; Xiaona Huo; Linyu Shi; Cheng Tang; Dan Liang; Yan Wang; Yan-Hong Nie; Chen-Chen Zhang; Xuan Yao; Xing Wang; Changyang Zhou; Wenqin Ying; Qifang Wang; Ren-Chao Chen; Qi Shen; Guo-Liang Xu; Jinsong Li; Qiang Sun; Zhi-Qi Xiong; Hui Yang
Journal:  Cell Res       Date:  2017-06-06       Impact factor: 25.617

5.  Zebrafish: Housing and husbandry recommendations.

Authors:  Peter Aleström; Livia D'Angelo; Paul J Midtlyng; Daniel F Schorderet; Stefan Schulte-Merker; Frederic Sohm; Susan Warner
Journal:  Lab Anim       Date:  2019-09-11       Impact factor: 2.471

6.  Genetic compensation triggered by mutant mRNA degradation.

Authors:  Zacharias Kontarakis; Andrea Rossi; Mohamed A El-Brolosy; Carsten Kuenne; Stefan Günther; Nana Fukuda; Khrievono Kikhi; Giulia L M Boezio; Carter M Takacs; Shih-Lei Lai; Ryuichi Fukuda; Claudia Gerri; Antonio J Giraldez; Didier Y R Stainier
Journal:  Nature       Date:  2019-04-03       Impact factor: 49.962

7.  Generating Stable Knockout Zebrafish Lines by Deleting Large Chromosomal Fragments Using Multiple gRNAs.

Authors:  Brian H Kim; GuangJun Zhang
Journal:  G3 (Bethesda)       Date:  2020-03-05       Impact factor: 3.154

8.  Efficient genome editing in zebrafish using a CRISPR-Cas system.

Authors:  Woong Y Hwang; Yanfang Fu; Deepak Reyon; Morgan L Maeder; Shengdar Q Tsai; Jeffry D Sander; Randall T Peterson; J-R Joanna Yeh; J Keith Joung
Journal:  Nat Biotechnol       Date:  2013-01-29       Impact factor: 54.908

9.  Strengths and limitations of period estimation methods for circadian data.

Authors:  Tomasz Zielinski; Anne M Moore; Eilidh Troup; Karen J Halliday; Andrew J Millar
Journal:  PLoS One       Date:  2014-05-08       Impact factor: 3.240

10.  Brain activity patterns in high-throughput electrophysiology screen predict both drug efficacies and side effects.

Authors:  Peter M Eimon; Mostafa Ghannad-Rezaie; Gianluca De Rienzo; Amin Allalou; Yuelong Wu; Mu Gao; Ambrish Roy; Jeffrey Skolnick; Mehmet Fatih Yanik
Journal:  Nat Commun       Date:  2018-01-15       Impact factor: 14.919

View more
  31 in total

1.  Parp1 promotes sleep, which enhances DNA repair in neurons.

Authors:  David Zada; Yaniv Sela; Noa Matosevich; Adir Monsonego; Tali Lerer-Goldshtein; Yuval Nir; Lior Appelbaum
Journal:  Mol Cell       Date:  2021-11-18       Impact factor: 17.970

2.  MIC-Drop: A platform for large-scale in vivo CRISPR screens.

Authors:  Saba Parvez; Chelsea Herdman; Manu Beerens; Korak Chakraborti; Zachary P Harmer; Jing-Ruey J Yeh; Calum A MacRae; H Joseph Yost; Randall T Peterson
Journal:  Science       Date:  2021-08-19       Impact factor: 63.714

3.  A Combined Human in Silico and CRISPR/Cas9-Mediated in Vivo Zebrafish Based Approach to Provide Phenotypic Data for Supporting Early Target Validation.

Authors:  Matthew J Winter; Yosuke Ono; Jonathan S Ball; Anna Walentinsson; Erik Michaelsson; Anna Tochwin; Steffen Scholpp; Charles R Tyler; Steve Rees; Malcolm J Hetheridge; Mohammad Bohlooly-Y
Journal:  Front Pharmacol       Date:  2022-04-25       Impact factor: 5.988

4.  Application of an F0-based genetic assay in adult zebrafish to identify modifier genes of an inherited cardiomyopathy.

Authors:  Yonghe Ding; Mingmin Wang; Haisong Bu; Jiarong Li; Xueying Lin; Xiaolei Xu
Journal:  Dis Model Mech       Date:  2022-06-23       Impact factor: 5.732

5.  Rapid reverse genetics systems for Nothobranchius furzeri, a suitable model organism to study vertebrate aging.

Authors:  Masayuki Oginuma; Moana Nishida; Tomomi Ohmura-Adachi; Kota Abe; Shohei Ogamino; Chihiro Mogi; Hideaki Matsui; Tohru Ishitani
Journal:  Sci Rep       Date:  2022-07-08       Impact factor: 4.996

6.  Crispants take the spotlight.

Authors:  Wouter Masselink
Journal:  Lab Anim (NY)       Date:  2021-04       Impact factor: 12.625

Review 7.  How Zebrafish Can Drive the Future of Genetic-based Hearing and Balance Research.

Authors:  Lavinia Sheets; Melanie Holmgren; Katie S Kindt
Journal:  J Assoc Res Otolaryngol       Date:  2021-04-28

8.  Endogenous protein tagging in medaka using a simplified CRISPR/Cas9 knock-in approach.

Authors:  Ali Seleit; Alexander Aulehla; Alexandre Paix
Journal:  Elife       Date:  2021-12-06       Impact factor: 8.140

9.  Zebrafish irritant responses to wildland fire-related biomass smoke are influenced by fuel type, combustion phase, and byproduct chemistry.

Authors:  W Kyle Martin; S Padilla; Y H Kim; D L Hunter; M D Hays; D M DeMarini; M S Hazari; M I Gilmour; A K Farraj
Journal:  J Toxicol Environ Health A       Date:  2021-05-18

Review 10.  Zebrafish as a Model for the Study of Lipid-Lowering Drug-Induced Myopathies.

Authors:  Magda Dubińska-Magiera; Marta Migocka-Patrzałek; Damian Lewandowski; Małgorzata Daczewska; Krzysztof Jagla
Journal:  Int J Mol Sci       Date:  2021-05-26       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.