Goossens, A. | bioRxiv Science

bioRxiv2018

High-throughput yeast two-hybrid library screening using next generation sequencing

Yeast two-hybrid (Y2H) is a well-established genetics-based system that uses yeast to selectively display binary protein-protein interactions (PPIs). To meet the current need to unravel complex PPI networks, several adaptations have been made to establish medium- to high-throughput Y2H screening platforms, with several having successfully incorporated the use of the next-generation sequencing (NGS) technology to increase the scale and sensitivity of the method. However, these have been to date mainly restricted to the use of fully annotated custom-made open reading frame (ORF) libraries and subject to complex downstream data processing. Here, a streamlined high-throughput Y2H library screening strategy, based on integration of Y2H with NGS, called Y2H-seq, was developed, which allows efficient and reliable screening of Y2H cDNA libraries. To generate proof of concept, the method was applied to screen for interaction partners of two key components of the jasmonate signaling machinery in the model plant Arabidopsis thaliana, resulting in the identification of several previously reported as well as hitherto unknown interactors. Our Y2H-seq method offers a user-friendly, specific and sensitive screening method that allows high-throughput identification of PPIs without prior knowledge of the organisms ORFs, thereby extending the method to organisms of which the genome has not entirely been annotated yet. The quantitative NGS readout and the incorporation of background controls allow to increase genome coverage and ultimately dispose of recurrent false positives, thereby overcoming some of the bottlenecks of current Y2H technologies, which will further strengthen the value of the Y2H technology as a discovery platform.

molecular biology↗

bioRxiv2017

A dual sgRNA approach for functional genomics in Arabidopsis thaliana

Reverse genetics uses loss-of-function alleles to interrogate gene function. The advent of CRISPR/Cas9-based gene editing now allows to generate knock-out alleles for any gene and entire gene families. Even in the model plant Arabidopsis thaliana, gene editing is welcomed as T-DNA insertion lines do not always generate null alleles. Here, we show efficient generation of heritable mutations in Arabidopsis using CRISPR/Cas9 with a workload similar to generating overexpression lines. We obtain Cas9 null-segregants with bi-allelic mutations in the T2 generation. Out of seven new mutant alleles we report here, one allele for GRXS17, the ortholog of human GRX3/PICOT, did not phenocopy previously characterized nulls. Notwithstanding, the mutation caused a frameshift and triggered nonsense-mediated decay. We demonstrate that our workflow is also compatible with a dual sgRNA approach in which a gene is targeted by two sgRNAs simultaneously. This paired nuclease method can result in a more reliable loss-of-function alleles that lack a large essential part of the gene. The ease in the CRISPR/Cas9 workflow should help in the eventual generation of true null alleles of every gene in the Arabidopsis genome, which will advance both basic and applied plant research.\n\nOne-sentence summaryWe present a dual sgRNA approach to delete Arabidopsis gene 34 fragments in order to obtain reliable functional knock-outs.

plant biology↗