Literature DB >> 33772309

Scarless engineering of the Drosophila genome near any site-specific integration site.

Siqian Feng1,2, Shan Lu2,3, Wesley B Grueber2,4,5, Richard S Mann1,2,6.   

Abstract

We describe a simple and efficient technique that allows scarless engineering of Drosophila genomic sequences near any landing site containing an inverted attP cassette, such as a MiMIC insertion. This two-step method combines phiC31 integrase-mediated site-specific integration and homing nuclease-mediated resolution of local duplications, efficiently converting the original landing site allele to modified alleles that only have the desired change(s). Dominant markers incorporated into this method allow correct individual flies to be efficiently identified at each step. In principle, single attP sites and FRT sites are also valid landing sites. Given the large and increasing number of landing site lines available in the fly community, this method provides an easy and fast way to efficiently edit the majority of the Drosophila genome in a scarless manner. This technique should also be applicable to other species.
© The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  zzm321990 Antpzzm321990 ; zzm321990 CRIMICzzm321990 ; zzm321990 Drosophilazzm321990 ; zzm321990 Gr28bzzm321990 ; zzm321990 Hoxzzm321990 ; zzm321990 MiMICzzm321990 ; zzm321990 Ubxzzm321990 ; genome editing; genome engineering

Mesh:

Substances:

Year:  2021        PMID: 33772309      PMCID: PMC8045726          DOI: 10.1093/genetics/iyab012

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  3 in total

1.  Functional Studies of Genetic Variants Associated with Human Diseases in Notch Signaling-Related Genes Using Drosophila.

Authors:  Sheng-An Yang; Jose L Salazar; David Li-Kroeger; Shinya Yamamoto
Journal:  Methods Mol Biol       Date:  2022

2.  SpyChIP identifies cell type-specific transcription factor occupancy from complex tissues.

Authors:  Siqian Feng; Richard S Mann
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-13       Impact factor: 12.779

3.  Transcription factor paralogs orchestrate alternative gene regulatory networks by context-dependent cooperation with multiple cofactors.

Authors:  Siqian Feng; Chaitanya Rastogi; Ryan Loker; William J Glassford; H Tomas Rube; Harmen J Bussemaker; Richard S Mann
Journal:  Nat Commun       Date:  2022-07-01       Impact factor: 17.694

  3 in total

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