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      The function and evolution of a genetic switch controlling sexually dimorphic eye differentiation in honeybees

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          Abstract

          Animals develop sex-specific morphological structures that are diverse between organisms. However, understanding the developmental and evolutionary mechanisms governing these traits is still limited and largely restricted to DM domain genes, which are conserved, sex-specific developmental regulators identified in genetic models. Here, we report a sex-specific developmental regulator gene, glubschauge ( glu) that selectively regulates sexually dimorphic eye differentiation in honeybees. We found that the sex determination gene feminizer ( fem) controls sex-specific splicing of glu transcripts, establishing a genetic switch in which Glu proteins with a zinc finger (ZnF) domain are only expressed in females. We showed that female coding sequence was essential and sufficient for partial feminization. Comparative sequence and functional studies revealed that the evolutionary origination of the genetic switch was followed by the mutational origin of the essential ZnF domain. Our results demonstrate that glu is a newly evolved sex-specific genetic switch for region-specific regulation of a dimorphic character.

          Abstract

          Sexual dimorphism results in widely diverse animal forms, but sexual determination is generally attributed to a single gene in animal models. Here they find that the glu gene regulates sexual dimorphism of honeybee eyes, demonstrating diversification of genetic programs for dimorphism.

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          MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

          We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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            A programmable dual-RNA-guided DNA endonuclease in adaptive bacterial immunity.

            Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated (Cas) systems provide bacteria and archaea with adaptive immunity against viruses and plasmids by using CRISPR RNAs (crRNAs) to guide the silencing of invading nucleic acids. We show here that in a subset of these systems, the mature crRNA that is base-paired to trans-activating crRNA (tracrRNA) forms a two-RNA structure that directs the CRISPR-associated protein Cas9 to introduce double-stranded (ds) breaks in target DNA. At sites complementary to the crRNA-guide sequence, the Cas9 HNH nuclease domain cleaves the complementary strand, whereas the Cas9 RuvC-like domain cleaves the noncomplementary strand. The dual-tracrRNA:crRNA, when engineered as a single RNA chimera, also directs sequence-specific Cas9 dsDNA cleavage. Our study reveals a family of endonucleases that use dual-RNAs for site-specific DNA cleavage and highlights the potential to exploit the system for RNA-programmable genome editing.
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              Pfam: The protein families database in 2021

              Abstract The Pfam database is a widely used resource for classifying protein sequences into families and domains. Since Pfam was last described in this journal, over 350 new families have been added in Pfam 33.1 and numerous improvements have been made to existing entries. To facilitate research on COVID-19, we have revised the Pfam entries that cover the SARS-CoV-2 proteome, and built new entries for regions that were not covered by Pfam. We have reintroduced Pfam-B which provides an automatically generated supplement to Pfam and contains 136 730 novel clusters of sequences that are not yet matched by a Pfam family. The new Pfam-B is based on a clustering by the MMseqs2 software. We have compared all of the regions in the RepeatsDB to those in Pfam and have started to use the results to build and refine Pfam repeat families. Pfam is freely available for browsing and download at http://pfam.xfam.org/.
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                Author and article information

                Contributors
                oksana.netschitailo@hhu.de
                martin.beye@hhu.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                28 January 2023
                28 January 2023
                2023
                : 14
                : 463
                Affiliations
                [1 ]GRID grid.411327.2, ISNI 0000 0001 2176 9917, Institute of Evolutionary Genetics, , Heinrich-Heine University, ; Duesseldorf, Germany
                [2 ]GRID grid.4818.5, ISNI 0000 0001 0791 5666, Laboratory of Entomology, , Wageningen University, ; Wageningen, the Netherlands
                Author information
                http://orcid.org/0000-0002-5059-3022
                http://orcid.org/0000-0001-6939-1490
                http://orcid.org/0000-0002-4781-535X
                http://orcid.org/0000-0003-1027-4075
                Article
                36153
                10.1038/s41467-023-36153-4
                9884244
                36709321
                3175bdf3-7593-49f3-89d3-7c5f5154abe7
                © 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 January 2022
                : 18 January 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: BE 2194/10-3
                Award ID: BE 2194/12-2
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2023

                Uncategorized
                gene regulation,development,evolutionary developmental biology,entomology,molecular evolution

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