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      srdA mutations suppress the rseA/ cpsA deletion mutant conidiation defect in Aspergillus nidulans

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          Abstract

          Conidiation is an important reproductive process in Aspergillus. We previously reported, in A. nidulans, that the deletion of a putative glycosyltransferase gene, rseA/cpsA, causes an increase in the production of extracellular hydrolases and a severe reduction in conidiation. The aim of this study was to obtain novel genetic factors involved in the repression of conidiation in the rseA deletion mutant. We isolated mutants in which the rseA deletion mutant conidiation defect is suppressed and performed a comparative genomic analysis of these mutants. A gene encoding a putative transcription factor was identified as the associated candidate causative gene. The candidate gene was designated as srdA ( suppressor gene for the conidiation defect of the r seA deletion mutant). The conidiation efficiency of the rseAsrdA double-deletion mutant was increased. Introduction of wild-type srdA into the suppressor mutants caused a conidiation defect similar to that of the rseA deletion mutant. Notably, the conidiation efficiencies of the rseAsrdA double-deletion and srdA single-deletion mutants were higher than that of the wild-type strain. These results indicate that srdA is a novel genetic factor that strongly represses conidiation of the rseA deletion mutant, and a putative transcriptional regulator, SrdA is a negative regulator of conidiation in A. nidulans.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            The Sequence Alignment/Map format and SAMtools

            Summary: The Sequence Alignment/Map (SAM) format is a generic alignment format for storing read alignments against reference sequences, supporting short and long reads (up to 128 Mbp) produced by different sequencing platforms. It is flexible in style, compact in size, efficient in random access and is the format in which alignments from the 1000 Genomes Project are released. SAMtools implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments. Availability: http://samtools.sourceforge.net Contact: rd@sanger.ac.uk
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              Fast and accurate short read alignment with Burrows–Wheeler transform

              Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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                Author and article information

                Contributors
                ahhoriu@g.ecc.u-tokyo.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 March 2023
                15 March 2023
                2023
                : 13
                : 4285
                Affiliations
                [1 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Department of Biotechnology, , The University of Tokyo, ; 1-1-1 Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
                [2 ]GRID grid.420063.3, Noda Institute for Scientific Research, ; 338 Noda, Noda, Chiba 278-0037 Japan
                [3 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Collaborative Research Institute for Innovative Microbiology, , The University of Tokyo, ; Yayoi 1-1-1, Bunkyo-ku, Tokyo, 113-8657 Japan
                Article
                31363
                10.1038/s41598-023-31363-8
                10017718
                36922566
                f12d2f0e-58ba-4f27-aa8a-123d7dcb8896
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 February 2023
                : 10 March 2023
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                © The Author(s) 2023

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                microbiology,molecular biology
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                microbiology, molecular biology

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