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Roadmap and Considerations for Genome Editing in a Non-Model Organism: Genetic Variations and Off-Target Profiling.

Hanin Wattad1, Jonathan Molcho1, Rivka Manor1,2

  • 1Department of Life Sciences, Ben-Gurion University of the Negev, P.O. Box 653, Beer-Sheva 8410501, Israel.

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|December 17, 2024
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Summary
This summary is machine-generated.

This study presents a genome annotation roadmap for editing non-model organisms like Macrobrachium rosenbergii. It addresses genetic variations to improve CRISPR/Cas gene editing accuracy and reliability.

Keywords:
CRISPR/CasGUIDE-seqMacrobrachium rosenbergiirepetitive sequencessex chromosomessingle nucleotide polymorphisms (SNPs)

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Area of Science:

  • Genomics
  • Molecular Biology
  • Aquaculture

Background:

  • CRISPR/Cas genome editing in non-model organisms faces challenges due to genetic variations.
  • Macrobrachium rosenbergii presents unique editing hurdles, including high SNP frequency and sex chromosome differences.

Purpose of the Study:

  • To develop a generalized de novo genome annotation roadmap for non-model organisms.
  • To address and overcome genetic variation challenges in CRISPR/Cas genome editing.
  • To enable accurate gene prediction and guide design for knock-out strategies.

Main Methods:

  • Trained an annotation pipeline using genomic, transcriptomic, and proteomic data.
  • Applied CRISPR/Cas genome editing to M. rosenbergii embryos and primary cell cultures.
  • Utilized next-generation sequencing to analyze genetic variations and off-target frequencies.

Main Results:

  • Developed a feasible genome annotation and editing pipeline for M. rosenbergii.
  • Identified high frequencies of genetic variations impacting editing accuracy on autosomal and sex chromosomes.
  • Verified the reliability of editing efficiency and tracked off-target frequencies.

Conclusions:

  • This study provides a roadmap for de novo genome annotation in non-model organisms.
  • The developed approach enhances the accuracy and reliability of CRISPR/Cas gene editing.
  • It demonstrates the feasibility of targeted gene editing in organisms with limited genomic information.