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      Conservation of Three-Dimensional Helix-Loop-Helix Structure through the Vertebrate Lineage Reopens the Cold Case of Gonadotropin-Releasing Hormone-Associated Peptide

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          Abstract

          GnRH-associated peptide (GAP) is the C-terminal portion of the gonadotropin-releasing hormone (GnRH) preprohormone. Although it was reported in mammals that GAP may act as a prolactin-inhibiting factor and can be co-secreted with GnRH into the hypophyseal portal blood, GAP has been practically out of the research circuit for about 20 years. Comparative studies highlighted the low conservation of GAP primary amino acid sequences among vertebrates, contributing to consider that this peptide only participates in the folding or carrying process of GnRH. Considering that the three-dimensional (3D) structure of a protein may define its function, the aim of this study was to evaluate if GAP sequences and 3D structures are conserved in the vertebrate lineage. GAP sequences from various vertebrates were retrieved from databases. Analysis of primary amino acid sequence identity and similarity, molecular phylogeny, and prediction of 3D structures were performed. Amino acid sequence comparison and phylogeny analyses confirmed the large variation of GAP sequences throughout vertebrate radiation. In contrast, prediction of the 3D structure revealed a striking conservation of the 3D structure of GAP1 (GAP associated with the hypophysiotropic type 1 GnRH), despite low amino acid sequence conservation. This GAP1 peptide presented a typical helix-loop-helix (HLH) structure in all the vertebrate species analyzed. This HLH structure could also be predicted for GAP2 in some but not all vertebrate species and in none of the GAP3 analyzed. These results allowed us to infer that selective pressures have maintained GAP1 HLH structure throughout the vertebrate lineage. The conservation of the HLH motif, known to confer biological activity to various proteins, suggests that GAP1 peptides may exert some hypophysiotropic biological functions across vertebrate radiation.

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          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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            The versatility and universality of calcium signalling.

            The universality of calcium as an intracellular messenger depends on its enormous versatility. Cells have a calcium signalling toolkit with many components that can be mixed and matched to create a wide range of spatial and temporal signals. This versatility is exploited to control processes as diverse as fertilization, proliferation, development, learning and memory, contraction and secretion, and must be accomplished within the context of calcium being highly toxic. Exceeding its normal spatial and temporal boundaries can result in cell death through both necrosis and apoptosis.
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              Structure is three to ten times more conserved than sequence--a study of structural response in protein cores.

              Protein structures change during evolution in response to mutations. Here, we analyze the mapping between sequence and structure in a set of structurally aligned protein domains. To avoid artifacts, we restricted our attention only to the core components of these structures. We found that on average, using different measures of structural change, protein cores evolve linearly with evolutionary distance (amino acid substitutions per site). This is true irrespective of which measure of structural change we used, whether RMSD or discrete structural descriptors for secondary structure, accessibility, or contacts. This linear response allows us to quantify the claim that structure is more conserved than sequence. Using structural alphabets of similar cardinality to the sequence alphabet, structural cores evolve three to ten times slower than sequences. Although we observed an average linear response, we found a wide variance. Different domain families varied fivefold in structural response to evolution. An attempt to categorically analyze this variance among subgroups by structural and functional category revealed only one statistically significant trend. This trend can be explained by the fact that beta-sheets change faster than alpha-helices, most likely due to that they are shorter and that change occurs at the ends of the secondary structure elements. 2009 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                URI : http://frontiersin.org/people/u/446254
                URI : http://frontiersin.org/people/u/75689
                URI : http://frontiersin.org/people/u/464085
                URI : http://frontiersin.org/people/u/19708
                URI : http://frontiersin.org/people/u/154308
                URI : http://frontiersin.org/people/u/19704
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                22 August 2017
                2017
                : 8
                : 207
                Affiliations
                [1] 1Laboratorio de Neuroendocrinología del Crecimiento y la Reproducción, Departamento de Biodiversidad y Biología Experimental, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires , Buenos Aires, Argentina
                [2] 2CONICET-Universidad de Buenos Aires, Instituto de Biodiversidad y Biología Experimental y Aplicada (IBBEA) , Buenos Aires, Argentina
                [3] 3Muséum National d’Histoire Naturelle, Sorbonne Universités, UMR BOREA, Biologie des Organismes et Ecosystèmes Aquatiques, CNRS, IRD, UPMC, UNICAEN, UA , Paris, France
                [4] 4Instituto de Investigaciones Biotecnológicas-Instituto Tecnológico de Chascomús (CONICET-UNSAM) , Chascomús, Argentina
                Author notes

                Edited by: Ishwar Parhar, Monash University, Australia

                Reviewed by: Stacia A. Sower, University of New Hampshire, United States; Stanko S. Stojilkovic, National Institutes of Health, United States

                *Correspondence: Sylvie Dufour, sylvie.dufour@ 123456mnhn.fr

                Specialty section: This article was submitted to Neuroendocrine Science, a section of the journal Frontiers in Endocrinology

                Article
                10.3389/fendo.2017.00207
                5572233
                2a0029a4-d940-4197-b5d5-076365e2874f
                Copyright © 2017 Pérez Sirkin, Lafont, Kamech, Somoza, Vissio and Dufour.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 May 2017
                : 07 August 2017
                Page count
                Figures: 5, Tables: 0, Equations: 0, References: 68, Pages: 12, Words: 8140
                Categories
                Endocrinology
                Original Research

                Endocrinology & Diabetes
                gnrh-associated peptide,protein 3d structure,helix-loop-helix,phylogeny,evolution,vertebrates,teleosts

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