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Article

CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking Approach

1
Complex Systems and Translational Bioinformatics (CSTB), ICube Laboratory, UMR7357, University of Strasbourg, 1 rue Eugène Boeckel, 67000 Strasbourg, France
2
Faculté des Sciences, Université Paris Cité, UFR Sciences du Vivant, 75013 Paris, France
*
Authors to whom correspondence should be addressed.
J. Fungi 2023, 9(4), 424; https://doi.org/10.3390/jof9040424
Submission received: 27 February 2023 / Revised: 21 March 2023 / Accepted: 28 March 2023 / Published: 29 March 2023
(This article belongs to the Section Fungal Genomics, Genetics and Molecular Biology)

Abstract

In fungi, the most abundant transcription factor (TF) class contains a fungal-specific ‘GAL4-like’ Zn2C6 DNA binding domain (DBD), while the second class contains another fungal-specific domain, known as ‘fungal_trans’ or middle homology domain (MHD), whose function remains largely uncharacterized. Remarkably, almost a third of MHD-containing TFs in public sequence databases apparently lack DNA binding activity, since they are not predicted to contain a DBD. Here, we reassess the domain organization of these ‘MHD-only’ proteins using an in silico error-tracking approach. In a large-scale analysis of ~17,000 MHD-only TF sequences present in all fungal phyla except Microsporidia and Cryptomycota, we show that the vast majority (>90%) result from genome annotation errors and we are able to predict a new DBD sequence for 14,261 of them. Most of these sequences correspond to a Zn2C6 domain (82%), with a small proportion of C2H2 domains (4%) found only in Dikarya. Our results contradict previous findings that the MHD-only TF are widespread in fungi. In contrast, we show that they are exceptional cases, and that the fungal-specific Zn2C6–MHD domain pair represents the canonical domain signature defining the most predominant fungal TF family. We call this family CeGAL, after the highly characterized members: Cep3, whose 3D structure is determined, and GAL4, a eukaryotic TF archetype. We believe that this will not only improve the annotation and classification of the Zn2C6 TF but will also provide critical guidance for future fungal gene regulatory network analyses.
Keywords: fungal-specific transcription factors; genome annotation errors; large-scale biocomputing analysis fungal-specific transcription factors; genome annotation errors; large-scale biocomputing analysis

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MDPI and ACS Style

Mayer, C.; Vogt, A.; Uslu, T.; Scalzitti, N.; Chennen, K.; Poch, O.; Thompson, J.D. CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking Approach. J. Fungi 2023, 9, 424. https://doi.org/10.3390/jof9040424

AMA Style

Mayer C, Vogt A, Uslu T, Scalzitti N, Chennen K, Poch O, Thompson JD. CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking Approach. Journal of Fungi. 2023; 9(4):424. https://doi.org/10.3390/jof9040424

Chicago/Turabian Style

Mayer, Claudine, Arthur Vogt, Tuba Uslu, Nicolas Scalzitti, Kirsley Chennen, Olivier Poch, and Julie D. Thompson. 2023. "CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking Approach" Journal of Fungi 9, no. 4: 424. https://doi.org/10.3390/jof9040424

APA Style

Mayer, C., Vogt, A., Uslu, T., Scalzitti, N., Chennen, K., Poch, O., & Thompson, J. D. (2023). CeGAL: Redefining a Widespread Fungal-Specific Transcription Factor Family Using an In Silico Error-Tracking Approach. Journal of Fungi, 9(4), 424. https://doi.org/10.3390/jof9040424

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