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Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer

Ovarian cancer (OV) is an extremely lethal disease. However, the evolutionary machineries of OV are still largely unknown. Here, we used a method that combines phylostratigraphy information with gene co-expression networks to extensively study the evolutionary compositions of OV. The present co-expr...

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Autores principales: Zhang, Luoyan, Tan, Yi, Fan, Shoujin, Zhang, Xuejie, Zhang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384884/
https://www.ncbi.nlm.nih.gov/pubmed/30796309
http://dx.doi.org/10.1038/s41598-019-40023-9
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author Zhang, Luoyan
Tan, Yi
Fan, Shoujin
Zhang, Xuejie
Zhang, Zhen
author_facet Zhang, Luoyan
Tan, Yi
Fan, Shoujin
Zhang, Xuejie
Zhang, Zhen
author_sort Zhang, Luoyan
collection PubMed
description Ovarian cancer (OV) is an extremely lethal disease. However, the evolutionary machineries of OV are still largely unknown. Here, we used a method that combines phylostratigraphy information with gene co-expression networks to extensively study the evolutionary compositions of OV. The present co-expression network construction yielded 18,549 nodes and 114,985 edges based on 307 OV expression samples obtained from the Genome Data Analysis Centers database. A total of 20 modules were identified as OV related clusters. The human genome sequences were divided into 19 phylostrata (PS), the majority (67.45%) of OV genes was already present in the eukaryotic ancestor. There were two strong peaks of the emergence of OV genes screened by hypergeometric test: the evolution of the multicellular metazoan organisms (PS5 and PS6, P value = 0.002) and the emergence of bony fish (PS11 and PS12, P value = 0.009). Hence, the origin of OV is far earlier than its emergence. The integrated analysis of the topology of OV modules and the phylogenetic data revealed an evolutionary pattern of OV in human, namely, OV modules have arisen step by step during the evolution of the respective lineages. New genes have evolved and become locked into a pathway, where more and more biological pathways are fixed into OV modules by recruiting new genes during human evolution.
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spelling pubmed-63848842019-02-26 Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer Zhang, Luoyan Tan, Yi Fan, Shoujin Zhang, Xuejie Zhang, Zhen Sci Rep Article Ovarian cancer (OV) is an extremely lethal disease. However, the evolutionary machineries of OV are still largely unknown. Here, we used a method that combines phylostratigraphy information with gene co-expression networks to extensively study the evolutionary compositions of OV. The present co-expression network construction yielded 18,549 nodes and 114,985 edges based on 307 OV expression samples obtained from the Genome Data Analysis Centers database. A total of 20 modules were identified as OV related clusters. The human genome sequences were divided into 19 phylostrata (PS), the majority (67.45%) of OV genes was already present in the eukaryotic ancestor. There were two strong peaks of the emergence of OV genes screened by hypergeometric test: the evolution of the multicellular metazoan organisms (PS5 and PS6, P value = 0.002) and the emergence of bony fish (PS11 and PS12, P value = 0.009). Hence, the origin of OV is far earlier than its emergence. The integrated analysis of the topology of OV modules and the phylogenetic data revealed an evolutionary pattern of OV in human, namely, OV modules have arisen step by step during the evolution of the respective lineages. New genes have evolved and become locked into a pathway, where more and more biological pathways are fixed into OV modules by recruiting new genes during human evolution. Nature Publishing Group UK 2019-02-22 /pmc/articles/PMC6384884/ /pubmed/30796309 http://dx.doi.org/10.1038/s41598-019-40023-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Luoyan
Tan, Yi
Fan, Shoujin
Zhang, Xuejie
Zhang, Zhen
Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer
title Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer
title_full Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer
title_fullStr Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer
title_full_unstemmed Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer
title_short Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer
title_sort phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384884/
https://www.ncbi.nlm.nih.gov/pubmed/30796309
http://dx.doi.org/10.1038/s41598-019-40023-9
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