The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis
Identification of the mechanisms underlying the genetic control of spatial structure formation is among the relevant tasks of developmental biology. Both experimental and theoretical approaches and methods are used for this purpose, including gene network methodology, as well as mathematical and com...
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Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
2023-12-01
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Series: | Вавиловский журнал генетики и селекции |
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Online Access: | https://vavilov.elpub.ru/jour/article/view/3974 |
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author | T. A. Bukharina V. P. Golubyatnikov D. P. Furman |
author_facet | T. A. Bukharina V. P. Golubyatnikov D. P. Furman |
author_sort | T. A. Bukharina |
collection | DOAJ |
description | Identification of the mechanisms underlying the genetic control of spatial structure formation is among the relevant tasks of developmental biology. Both experimental and theoretical approaches and methods are used for this purpose, including gene network methodology, as well as mathematical and computer modeling. Reconstruction and analysis of the gene networks that provide the formation of traits allow us to integrate the existing experimental data and to identify the key links and intra-network connections that ensure the function of networks. Mathematical and computer modeling is used to obtain the dynamic characteristics of the studied systems and to predict their state and behavior. An example of the spatial morphological structure is the Drosophila bristle pattern with a strictly defined arrangement of its components – mechanoreceptors (external sensory organs) – on the head and body. The mechanoreceptor develops from a single sensory organ parental cell (SOPC), which is isolated from the ectoderm cells of the imaginal disk. It is distinguished from its surroundings by the highest content of proneural proteins (ASC), the products of the achaete-scute proneural gene complex (AS-C). The SOPC status is determined by the gene network we previously reconstructed and the AS-C is the key component of this network. AS-C activity is controlled by its subnetwork – the central regulatory circuit (CRC) comprising seven genes: AS-C, hairy, senseless (sens), charlatan (chn), scratch (scrt), phyllopod (phyl), and extramacrochaete (emc), as well as their respective proteins. In addition, the CRC includes the accessory proteins Daughterless (DA), Groucho (GRO), Ubiquitin (UB), and Seven-in-absentia (SINA). The paper describes the results of computer modeling of different CRC operation modes. As is shown, a cell is determined as an SOPC when the ASC content increases approximately 2.5-fold relative to the level in the surrounding cells. The hierarchy of the effects of mutations in the CRC genes on the dynamics of ASC protein accumulation is clarified. AS-C as the main CRC component is the most significant. The mutations that decrease the ASC content by more than 40 % lead to the prohibition of SOPC segregation. |
format | Article |
id | doaj-art-70e4d2cda07443ccb52024124f977544 |
institution | Kabale University |
issn | 2500-3259 |
language | English |
publishDate | 2023-12-01 |
publisher | Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders |
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series | Вавиловский журнал генетики и селекции |
spelling | doaj-art-70e4d2cda07443ccb52024124f9775442025-02-01T09:58:12ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592023-12-0127774675410.18699/VJGB-23-871402The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysisT. A. Bukharina0V. P. Golubyatnikov1D. P. Furman2Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State UniversitySobolev Institute of Mathematics of the Siberian Branch of the Russian Academy of SciencesInstitute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences; Novosibirsk State UniversityIdentification of the mechanisms underlying the genetic control of spatial structure formation is among the relevant tasks of developmental biology. Both experimental and theoretical approaches and methods are used for this purpose, including gene network methodology, as well as mathematical and computer modeling. Reconstruction and analysis of the gene networks that provide the formation of traits allow us to integrate the existing experimental data and to identify the key links and intra-network connections that ensure the function of networks. Mathematical and computer modeling is used to obtain the dynamic characteristics of the studied systems and to predict their state and behavior. An example of the spatial morphological structure is the Drosophila bristle pattern with a strictly defined arrangement of its components – mechanoreceptors (external sensory organs) – on the head and body. The mechanoreceptor develops from a single sensory organ parental cell (SOPC), which is isolated from the ectoderm cells of the imaginal disk. It is distinguished from its surroundings by the highest content of proneural proteins (ASC), the products of the achaete-scute proneural gene complex (AS-C). The SOPC status is determined by the gene network we previously reconstructed and the AS-C is the key component of this network. AS-C activity is controlled by its subnetwork – the central regulatory circuit (CRC) comprising seven genes: AS-C, hairy, senseless (sens), charlatan (chn), scratch (scrt), phyllopod (phyl), and extramacrochaete (emc), as well as their respective proteins. In addition, the CRC includes the accessory proteins Daughterless (DA), Groucho (GRO), Ubiquitin (UB), and Seven-in-absentia (SINA). The paper describes the results of computer modeling of different CRC operation modes. As is shown, a cell is determined as an SOPC when the ASC content increases approximately 2.5-fold relative to the level in the surrounding cells. The hierarchy of the effects of mutations in the CRC genes on the dynamics of ASC protein accumulation is clarified. AS-C as the main CRC component is the most significant. The mutations that decrease the ASC content by more than 40 % lead to the prohibition of SOPC segregation.https://vavilov.elpub.ru/jour/article/view/3974central regulatory circuitgene networkmathematical modelcomputer modelingdrosophilaachaetescute complexmutations |
spellingShingle | T. A. Bukharina V. P. Golubyatnikov D. P. Furman The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis Вавиловский журнал генетики и селекции central regulatory circuit gene network mathematical model computer modeling drosophila achaetescute complex mutations |
title | The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis |
title_full | The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis |
title_fullStr | The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis |
title_full_unstemmed | The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis |
title_short | The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis |
title_sort | central regulatory circuit in the gene network controlling the morphogenesis of drosophila mechanoreceptors an i in silico i analysis |
topic | central regulatory circuit gene network mathematical model computer modeling drosophila achaetescute complex mutations |
url | https://vavilov.elpub.ru/jour/article/view/3974 |
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