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Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution

Molecular evolution is an established technique for inferring gene homology but regulatory DNA turns over so rapidly that inference of ancestral networks is often impossible. In silico evolution is used to compute the most parsimonious path in regulatory space for anterior-posterior patterning linki...

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Autores principales: Rothschild, Jeremy B., Tsimiklis, Panagiotis, Siggia, Eric D., François, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882032/
https://www.ncbi.nlm.nih.gov/pubmed/27227405
http://dx.doi.org/10.1371/journal.pgen.1006052
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author Rothschild, Jeremy B.
Tsimiklis, Panagiotis
Siggia, Eric D.
François, Paul
author_facet Rothschild, Jeremy B.
Tsimiklis, Panagiotis
Siggia, Eric D.
François, Paul
author_sort Rothschild, Jeremy B.
collection PubMed
description Molecular evolution is an established technique for inferring gene homology but regulatory DNA turns over so rapidly that inference of ancestral networks is often impossible. In silico evolution is used to compute the most parsimonious path in regulatory space for anterior-posterior patterning linking two Dipterian species. The expression pattern of gap genes has evolved between Drosophila (fly) and Anopheles (mosquito), yet one of their targets, eve, has remained invariant. Our model predicts that stripe 5 in fly disappears and a new posterior stripe is created in mosquito, thus eve stripe modules 3+7 and 4+6 in fly are homologous to 3+6 and 4+5 in mosquito. We can place Clogmia on this evolutionary pathway and it shares the mosquito homologies. To account for the evolution of the other pair-rule genes in the posterior we have to assume that the ancestral Dipterian utilized a dynamic method to phase those genes in relation to eve.
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spelling pubmed-48820322016-06-10 Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution Rothschild, Jeremy B. Tsimiklis, Panagiotis Siggia, Eric D. François, Paul PLoS Genet Research Article Molecular evolution is an established technique for inferring gene homology but regulatory DNA turns over so rapidly that inference of ancestral networks is often impossible. In silico evolution is used to compute the most parsimonious path in regulatory space for anterior-posterior patterning linking two Dipterian species. The expression pattern of gap genes has evolved between Drosophila (fly) and Anopheles (mosquito), yet one of their targets, eve, has remained invariant. Our model predicts that stripe 5 in fly disappears and a new posterior stripe is created in mosquito, thus eve stripe modules 3+7 and 4+6 in fly are homologous to 3+6 and 4+5 in mosquito. We can place Clogmia on this evolutionary pathway and it shares the mosquito homologies. To account for the evolution of the other pair-rule genes in the posterior we have to assume that the ancestral Dipterian utilized a dynamic method to phase those genes in relation to eve. Public Library of Science 2016-05-26 /pmc/articles/PMC4882032/ /pubmed/27227405 http://dx.doi.org/10.1371/journal.pgen.1006052 Text en © 2016 Rothschild et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rothschild, Jeremy B.
Tsimiklis, Panagiotis
Siggia, Eric D.
François, Paul
Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution
title Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution
title_full Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution
title_fullStr Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution
title_full_unstemmed Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution
title_short Predicting Ancestral Segmentation Phenotypes from Drosophila to Anopheles Using In Silico Evolution
title_sort predicting ancestral segmentation phenotypes from drosophila to anopheles using in silico evolution
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882032/
https://www.ncbi.nlm.nih.gov/pubmed/27227405
http://dx.doi.org/10.1371/journal.pgen.1006052
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