Identification of factors required for meristem function in Arabidopsis using a novel next generation sequencing fast forward genetics approach

Mokry, Michal, Nijman, Isaac J., van Dijken, Anja, Benjamins, Rene, Heidstra, Renze, Scheres, Ben ORCID: https://orcid.org/0000-0001-5400-9578 and Cuppen, Edwin 2011. Identification of factors required for meristem function in Arabidopsis using a novel next generation sequencing fast forward genetics approach. BMC Genomics 12 , 256. 10.1186/1471-2164-12-256

Preview

PDF - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

Background. Phenotype-driven forward genetic experiments are powerful approaches for linking phenotypes to genomic elements but they still involve a laborious positional cloning process. Although sequencing of complete genomes now becomes available, discriminating causal mutations from the enormous amounts of background variation remains a major challenge. Method. To improve this, we developed a universal two-step approach, named 'fast forward genetics', which combines traditional bulk segregant techniques with targeted genomic enrichment and next-generation sequencing technology Results. As a proof of principle we successfully applied this approach to two Arabidopsis mutants and identified a novel factor required for stem cell activity. Conclusion. We demonstrated that the 'fast forward genetics' procedure efficiently identifies a small number of testable candidate mutations. As the approach is independent of genome size, it can be applied to any model system of interest. Furthermore, we show that experiments can be multiplexed and easily scaled for the identification of multiple individual mutants in a single sequencing run.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Biosciences
Subjects:	Q Science > QH Natural history > QH426 Genetics
Publisher:	BioMed Central
ISSN:	1471-2164
Date of First Compliant Deposit:	20 August 2018
Date of Acceptance:	20 May 2011
Last Modified:	10 May 2023 22:43
URI:	https://orca.cardiff.ac.uk/id/eprint/57696

Citation Data

Cited 38 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item