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  Beyond Genomics: Studying Evolution with Gene Coexpression Networks

Ruprecht, C., Vaid, N., Proost, S., Persson, S., & Mutwil, M. (2017). Beyond Genomics: Studying Evolution with Gene Coexpression Networks. Trends in Plant Science, 22(4), 298-307. doi:10.1016/j.tplants.2016.12.011.

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 Creators:
Ruprecht, Colin1, Author
Vaid, N.2, Author           
Proost, Sebastian2, Author           
Persson, Staffan1, Author
Mutwil, M.2, Author           
Affiliations:
1external, ou_persistent22              
2Regulatory Networks, Department Stitt, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753332              

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Free keywords: PROTEIN-PROTEIN INTERACTIONS; PLANT COMPARATIVE GENOMICS; ARABIDOPSIS-THALIANA; DUPLICATION EVENTS; AGE DISTRIBUTIONS; ATTED-II; AUXIN; MODULES; DATABASE; IDENTIFICATIONPlant Sciences;
 Abstract: Understanding how genomes change as organisms become more complex is a central question in evolution. Molecular evolutionary studies typically correlate the appearance of genes and gene families with the emergence of biological pathways and morphological features. While such approaches are of great importance to understand how organisms evolve, they are also limited, as functionally related genes work together in contexts of dynamic gene networks. Since functionally related genes are often transcriptionally coregulated, gene coexpression networks present a resource to study the evolution of biological pathways. In this opinion article, we discuss recent developments in this field and how coexpression analyses can be merged with existing genomic approaches to transfer functional knowledge between species to study the appearance or extension of pathways.

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Language(s): eng - English
 Dates: 2017
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: Trends in Plant Science
  Other : Trends Plant Sci.
Source Genre: Journal
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Publ. Info: Kidlington, Oxford : Elsevier Current Trends
Pages: - Volume / Issue: 22 (4) Sequence Number: - Start / End Page: 298 - 307 Identifier: ISSN: 1360-1385
CoNE: https://pure.mpg.de/cone/journals/resource/954925619141