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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-4882032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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