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Mach-Aigner, A. R.

Publications and source records attributed to Mach-Aigner, A. R..

2 recordsLinked to original sources

Fast and efficient CRISPR-mediated genome editing in Aureobasidium pullulans using Cas9 ribonucleoproteins

Aureobasidium pullulans is a ubiquitous, polyextremotolerant, "yeast-like" ascomycete used for the industrial production of pullulan and other products and as biocontrol agent in the agriculture. Its application potential and its wide-spread occurrence make A. pullulans an interesting study object. The availability of a fast and efficient genome editing method is an obvious advantage for future basic and applied research on A. pullulans. In this study, we describe the development of a CRISPR/Cas9-based genome editing method using ribonucleoproteins (RNPs). We demonstrate that this method can be used for single and multiplex genome editing using only RNPs by targeting ura3 (encoding for orotidine-5'-phosphate decarboxylase), praics (encoding for phosphoribosyl aminoimidazole-succinocarboxamide synthase) and asl (encoding for arginine succinate lyase). We demonstrate the applicability of Trichoderma reesei pyr4 and Aspergillus fumigatus pyrG to complement the ura3 deficiency. Further, we show that the usage of RNPs can boost the homologous recombination rate up to nearly 100%, even when using only 20bp long homologous flanks. Therefore, the repair cassettes can be constructed by a single PCR, abolishing the need for laborious and time-consuming cloning. The here presented method allows fast and efficient genome editing for gene deletions, modifications, and insertions in A. pullulans.

bioengineering

The Functional Order (FunOrder) tool - Identification of essential biosynthetic genes through computational molecular co-evolution

Secondary metabolites (SMs) are a vast group of compounds with different structures and properties. Humankind uses SMs as drugs, food additives, dyes, and as monomers for novel plastics. In many cases, the biosynthesis of SMs is catalysed by enzymes whose corresponding genes are co-localized in the genome in biosynthetic gene clusters (BGCs). Notably, BGCs may contain so-called gap genes, that are not involved in the biosynthesis of the SM. Current genome mining tools can identify BGCs but they have problems with distinguishing essential genes from gap genes and defining the borders of a BGC. This can and must be done by expensive, laborious, and time-consuming comparative genomic approaches or co-expression analyses. In this study, we developed a novel tool that allows automated identification of essential genes in a BGC based solely on genomic data. The Functional Order (FunOrder) tool - Identification of essential biosynthetic genes through computational molecular co-evolution - searches for co-evolutionary linked genes in the BGCs. In light of the growing number of genomic data available, this will contribute to the studies of BGCs in native hosts and facilitate heterologous expression in other organisms with the aim of the discovery of novel SMs, including antibiotics and other pharmaceuticals.

bioinformatics