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Article

A Bioinformatic Workflow for InDel Analysis in the Wheat Multi-Copy α-Gliadin Gene Family Engineered with CRISPR/Cas9

by
María H. Guzmán-López
,
Miriam Marín-Sanz
,
Susana Sánchez-León
and
Francisco Barro
*
Department of Plant Breeding, Institute for Sustainable Agriculture-Spanish National Research Council (IAS-CSIC), 14004 Córdoba, Spain
*
Author to whom correspondence should be addressed.
These two authors contributed equally to this work.
Int. J. Mol. Sci. 2021, 22(23), 13076; https://doi.org/10.3390/ijms222313076
Submission received: 29 October 2021 / Revised: 24 November 2021 / Accepted: 1 December 2021 / Published: 3 December 2021
(This article belongs to the Special Issue Crop Genome Editing)

Abstract

The α-gliadins of wheat, along with other gluten components, are responsible for bread viscoelastic properties. However, they are also related to human pathologies as celiac disease or non-celiac wheat sensitivity. CRISPR/Cas was successfully used to knockout α-gliadin genes in bread and durum wheat, therefore, obtaining low gluten wheat lines. Nevertheless, the mutation analysis of these genes is complex as they present multiple and high homology copies arranged in tandem in A, B, and D subgenomes. In this work, we present a bioinformatic pipeline based on NGS amplicon sequencing for the analysis of insertions and deletions (InDels) in α-gliadin genes targeted with two single guides RNA (sgRNA). This approach allows the identification of mutated amplicons and the analysis of InDels through comparison to the most similar wild type parental sequence. TMM normalization was performed for inter-sample comparisons; being able to study the abundance of each InDel throughout generations and observe the effects of the segregation of Cas9 coding sequence in different lines. The usefulness of the workflow is relevant to identify possible genomic rearrangements such as large deletions due to Cas9 cleavage activity. This pipeline enables a fast characterization of mutations in multiple samples for a multi-copy gene family.
Keywords: Usearch; multi-copy; multi-target; multi-gene; InDels; CRISPR/Cas; gluten; wheat; celiac disease; gliadins Usearch; multi-copy; multi-target; multi-gene; InDels; CRISPR/Cas; gluten; wheat; celiac disease; gliadins

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MDPI and ACS Style

Guzmán-López, M.H.; Marín-Sanz, M.; Sánchez-León, S.; Barro, F. A Bioinformatic Workflow for InDel Analysis in the Wheat Multi-Copy α-Gliadin Gene Family Engineered with CRISPR/Cas9. Int. J. Mol. Sci. 2021, 22, 13076. https://doi.org/10.3390/ijms222313076

AMA Style

Guzmán-López MH, Marín-Sanz M, Sánchez-León S, Barro F. A Bioinformatic Workflow for InDel Analysis in the Wheat Multi-Copy α-Gliadin Gene Family Engineered with CRISPR/Cas9. International Journal of Molecular Sciences. 2021; 22(23):13076. https://doi.org/10.3390/ijms222313076

Chicago/Turabian Style

Guzmán-López, María H., Miriam Marín-Sanz, Susana Sánchez-León, and Francisco Barro. 2021. "A Bioinformatic Workflow for InDel Analysis in the Wheat Multi-Copy α-Gliadin Gene Family Engineered with CRISPR/Cas9" International Journal of Molecular Sciences 22, no. 23: 13076. https://doi.org/10.3390/ijms222313076

APA Style

Guzmán-López, M. H., Marín-Sanz, M., Sánchez-León, S., & Barro, F. (2021). A Bioinformatic Workflow for InDel Analysis in the Wheat Multi-Copy α-Gliadin Gene Family Engineered with CRISPR/Cas9. International Journal of Molecular Sciences, 22(23), 13076. https://doi.org/10.3390/ijms222313076

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