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1.
J Comput Biol ; 28(8): 747-757, 2021 08.
Artigo em Inglês | MEDLINE | ID: mdl-34152850

RESUMO

Predetermination, formation, and maintenance of the primary morphogenetic gradient (bicoid, bcd) of the early Drosophila embryo involves many interrelated processes. Here we focus on the biological systems analysis of the bcd mRNA redistribution in an early embryo. The results of the quantitative analysis of experimental data, together with the results of their dynamic modeling, substantiate the role of active transport in the redistribution of the bcd mRNA. The role of the nonlinearity of degradation mechanisms in the mRNA pattern robustness is discussed.


Assuntos
Proteínas de Drosophila/genética , Drosophila/embriologia , Proteínas de Homeodomínio/genética , Microtúbulos/química , Transativadores/genética , Animais , Transporte Biológico Ativo , Drosophila/genética , Feminino , Regulação da Expressão Gênica no Desenvolvimento , Modelos Genéticos , Pesquisa Qualitativa
2.
J Bioinform Comput Biol ; 12(2): 1441009, 2014 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-24712536

RESUMO

Biological development depends on the coordinated expression of genes in time and space. Developmental genes have extensive cis-regulatory regions which control their expression. These regions are organized in a modular manner, with different modules controlling expression at different times and locations. Both how modularity evolved and what function it serves are open questions. We present a computational model for the cis-regulation of the hunchback (hb) gene in the fruit fly (Drosophila). We simulate evolution (using an evolutionary computation approach from computer science) to find the optimal cis-regulatory arrangements for fitting experimental hb expression patterns. We find that the cis-regulatory region tends to readily evolve modularity. These cis-regulatory modules (CRMs) do not tend to control single spatial domains, but show a multi-CRM/multi-domain correspondence. We find that the CRM-domain correspondence seen in Drosophila evolves with a high probability in our model, supporting the biological relevance of the approach. The partial redundancy resulting from multi-CRM control may confer some biological robustness against corruption of regulatory sequences. The technique developed on hb could readily be applied to other multi-CRM developmental genes.


Assuntos
Proteínas de Ligação a DNA/genética , Proteínas de Drosophila/genética , Drosophila/crescimento & desenvolvimento , Drosophila/genética , Regulação da Expressão Gênica no Desenvolvimento/genética , Elementos Reguladores de Transcrição/genética , Sequências Reguladoras de Ácido Nucleico/genética , Fatores de Transcrição/genética , Animais , Sequência de Bases , Evolução Molecular , Dados de Sequência Molecular
3.
ScientificWorldJournal ; 2012: 560101, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-23365523

RESUMO

Gene recruitment or cooption occurs when a gene, which may be part of an existing gene regulatory network (GRN), comes under the control of a new regulatory system. Such re-arrangement of pre-existing networks is likely more common for increasing genomic complexity than the creation of new genes. Using evolutionary computations (EC), we investigate how cooption affects the evolvability, outgrowth and robustness of GRNs. We use a data-driven model of insect segmentation, for the fruit fly Drosophila, and evaluate fitness by robustness to maternal variability-a major constraint in biological development. We compare two mechanisms of gene cooption: a simpler one with gene Introduction and Withdrawal operators; and one in which GRN elements can be altered by transposon infection. Starting from a minimal 2-gene network, insufficient for fitting the Drosophila gene expression patterns, we find a general trend of coopting available genes into the GRN, in order to better fit the data. With the transposon mechanism, we find co-evolutionary oscillations between genes and their transposons. These oscillations may offer a new technique in EC for overcoming premature convergence. Finally, we comment on how a differential equations (in contrast to Boolean) approach is necessary for addressing realistic continuous variation in biochemical parameters.


Assuntos
Padronização Corporal/genética , Simulação por Computador , Evolução Molecular , Redes Reguladoras de Genes , Algoritmos , Animais , Elementos de DNA Transponíveis/genética , Drosophila/embriologia , Drosophila/genética , Drosophila/crescimento & desenvolvimento , Regulação da Expressão Gênica no Desenvolvimento , Modelos Genéticos , Morfogênese/genética
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