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      YEASTRACT+: a portal for cross-species comparative genomics of transcription regulation in yeasts

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          Abstract

          The YEASTRACT+ information system ( http://YEASTRACT-PLUS.org/) is a wide-scope tool for the analysis and prediction of transcription regulatory associations at the gene and genomic levels in yeasts of biotechnological or human health relevance. YEASTRACT+ is a new portal that integrates the previously existing YEASTRACT ( http://www.yeastract.com/) and PathoYeastract ( http://pathoyeastract.org/) databases and introduces the NCYeastract (Non-Conventional Yeastract) database ( http://ncyeastract.org/), focused on the so-called non-conventional yeasts. The information in the YEASTRACT database, focused on Saccharomyces cerevisiae, was updated. PathoYeastract was extended to include two additional pathogenic yeast species: Candida parapsilosis and Candida tropicalis. Furthermore, the NCYeastract database was created, including five biotechnologically relevant yeast species: Zygosaccharomyces baillii, Kluyveromyces lactis, Kluyveromyces marxianus, Yarrowia lipolytica and Komagataella phaffii. The YEASTRACT+ portal gathers 289 706 unique documented regulatory associations between transcription factors (TF) and target genes and 420 DNA binding sites, considering 247 TFs from 10 yeast species. YEASTRACT+ continues to make available tools for the prediction of the TFs involved in the regulation of gene/genomic expression. In this release, these tools were upgraded to enable predictions based on orthologous regulatory associations described for other yeast species, including two new tools for cross-species transcription regulation comparison, based on multi-species promoter and TF regulatory network analyses.

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          Yarrowia lipolytica as a model for bio-oil production.

          The yeast Yarrowialipolytica has developed very efficient mechanisms for breaking down and using hydrophobic substrates. It is considered an oleaginous yeast, based on its ability to accumulate large amounts of lipids. Completion of the sequencing of the Y.lipolytica genome and the existence of suitable tools for genetic manipulation have made it possible to use the metabolic function of this species for biotechnological applications. In this review, we describe the coordinated pathways of lipid metabolism, storage and mobilization in this yeast, focusing in particular on the roles and regulation of the various enzymes and organelles involved in these processes. The physiological responses of Y.lipolytica to hydrophobic substrates include surface-mediated and direct interfacial transport processes, the production of biosurfactants, hydrophobization of the cytoplasmic membrane and the formation of protrusions. We also discuss culture conditions, including the mode of culture control and the culture medium, as these conditions can be modified to enhance the accumulation of lipids with a specific composition and to identify links between various biological processes occurring in the cells of this yeast. Examples are presented demonstrating the potential use of Y.lipolytica in fatty-acid bioconversion, substrate valorization and single-cell oil production. Finally, this review also discusses recent progress in our understanding of the metabolic fate of hydrophobic compounds within the cell: their terminal oxidation, further degradation or accumulation in the form of intracellular lipid bodies.
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            Infectious Disease. How to bolster the antifungal pipeline.

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              The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae

              We present the YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT; ) database, a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae. This database is a repository of 12 346 regulatory associations between transcription factors and target genes, based on experimental evidence which was spread throughout 861 bibliographic references. It also includes 257 specific DNA-binding sites for more than a hundred characterized transcription factors. Further information about each yeast gene included in the database was obtained from Saccharomyces Genome Database (SGD), Regulatory Sequences Analysis Tools and Gene Ontology (GO) Consortium. Computational tools are also provided to facilitate the exploitation of the gathered data when solving a number of biological questions as exemplified in the Tutorial also available on the system. YEASTRACT allows the identification of documented or potential transcription regulators of a given gene and of documented or potential regulons for each transcription factor. It also renders possible the comparison between DNA motifs, such as those found to be over-represented in the promoter regions of co-regulated genes, and the transcription factor-binding sites described in the literature. The system also provides an useful mechanism for grouping a list of genes (for instance a set of genes with similar expression profiles as revealed by microarray analysis) based on their regulatory associations with known transcription factors.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 January 2020
                05 October 2019
                05 October 2019
                : 48
                : D1
                : D642-D649
                Affiliations
                [1 ] Department of Computer Science and Engineering, Instituto Superior Técnico (IST), Universidade de Lisboa , Av. Rovisco Pais, 1049-001 Lisbon, Portugal
                [2 ] INESC-ID, R. Alves Redol , 9, 1000–029 Lisbon, Portugal
                [3 ] Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa , Av. Rovisco Pais, 1049-001 Lisbon, Portugal
                [4 ] iBB-Institute for BioEngineering and Biosciences, Biological Sciences Research Group , Av. Rovisco Pais, 1049-001 Lisbon, Portugal
                Author notes
                To whom correspondence should be addressed. Tel: +351 218417682; Email: mnpct@ 123456tecnico.ulisboa.pt
                Correspondence may also be addressed to Isabel Sá-Correia. Tel: +351 218417682; Email: isacorreia@ 123456tecnico.ulisboa.pt
                Correspondence may also be addressed to Pedro T. Monteiro. Tel: +351 213100320; Email: pedro.tiago.monteiro@ 123456tecnico.ulisboa.pt

                The authors wish it to be known that, in their opinion, the first four authors should be regarded as Joint First Authors.

                Author information
                http://orcid.org/0000-0002-5676-6174
                Article
                gkz859
                10.1093/nar/gkz859
                6943032
                31586406
                f7c0b500-da19-4908-ba15-669b65e01d35
                © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 01 October 2019
                : 05 September 2019
                : 29 July 2019
                Page count
                Pages: 8
                Funding
                Funded by: Lisboa Portugal Regional Operational Programme
                Award ID: LISBOA-01-0145-FEDER-022231
                Funded by: Fundação para a Ciência e a Tecnologia 10.13039/501100001871
                Award ID: PTDC/BBB-BIO/4004/2014
                Award ID: PTDC/BBB-BEP/0385/2014
                Award ID: ERA-IB-2/0003/2015
                Award ID: PTDC/BII-BIO/28216/2017
                Funded by: Sabbatical
                Award ID: SFRH/BSAB/143643/2019
                Categories
                Database Issue

                Genetics
                Genetics

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