The Evolution of the Hh-Signaling Pathway Genes: A Computer-Assisted Study.

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Title: The Evolution of the Hh-Signaling Pathway Genes: A Computer-Assisted Study.
Authors: Gunbin, Konstantin V.1 genkvg@bionet.nsc.ru, Afonnikov, Dmitrij A.1,2, Kolchanov, Nikolay A.1
Source: In Silico Biology. 2007, Vol. 7 Issue 3, p333-354. 22p. 10 Diagrams, 2 Charts, 1 Graph.
Subjects: Genes, Computer assisted research, Heredity, Embryology, Developmental biology, Biological evolution, Growth
Abstract: Positive selection of genes that comprise signaling cascades and play the paramount role in the development of multicellular organisms is critical to our understanding of the reasons for the evolution of embryonic development. In this work, we analyze the evolution of 9 genes involved in the function of the Hh signaling cascade. We demonstrated that positive selection is a characteristic feature of the protein domains, encoded by gene regions, whose functions are related to the molecular mechanisms of development. We also found that the positive selection of Hh-signaling cascade transcription factors, morphogens, their development-related receptors and intracellular signal transduction factors are related to the divergence of the Bilateria taxonomic types. [ABSTRACT FROM AUTHOR]
Copyright of In Silico Biology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22In+Silico+Biology%22">In Silico Biology</searchLink>. 2007, Vol. 7 Issue 3, p333-354. 22p. 10 Diagrams, 2 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Genes%22">Genes</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+assisted+research%22">Computer assisted research</searchLink><br /><searchLink fieldCode="DE" term="%22Heredity%22">Heredity</searchLink><br /><searchLink fieldCode="DE" term="%22Embryology%22">Embryology</searchLink><br /><searchLink fieldCode="DE" term="%22Developmental+biology%22">Developmental biology</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+evolution%22">Biological evolution</searchLink><br /><searchLink fieldCode="DE" term="%22Growth%22">Growth</searchLink>
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  Data: Positive selection of genes that comprise signaling cascades and play the paramount role in the development of multicellular organisms is critical to our understanding of the reasons for the evolution of embryonic development. In this work, we analyze the evolution of 9 genes involved in the function of the Hh signaling cascade. We demonstrated that positive selection is a characteristic feature of the protein domains, encoded by gene regions, whose functions are related to the molecular mechanisms of development. We also found that the positive selection of Hh-signaling cascade transcription factors, morphogens, their development-related receptors and intracellular signal transduction factors are related to the divergence of the Bilateria taxonomic types. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of In Silico Biology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Heredity
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      – SubjectFull: Embryology
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              Text: 2007
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