Literature DB >> 28126286

Beyond Genomics: Studying Evolution with Gene Coexpression Networks.

Colin Ruprecht1, Neha Vaid2, Sebastian Proost2, Staffan Persson3, Marek Mutwil4.   

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.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2017        PMID: 28126286     DOI: 10.1016/j.tplants.2016.12.011

Source DB:  PubMed          Journal:  Trends Plant Sci        ISSN: 1360-1385            Impact factor:   18.313


  17 in total

1.  Gene Co-expression Network Analysis.

Authors:  Juan D Montenegro
Journal:  Methods Mol Biol       Date:  2022

Review 2.  Exploiting plant transcriptomic databases: Resources, tools, and approaches.

Authors:  Peng Ken Lim; Xinghai Zheng; Jong Ching Goh; Marek Mutwil
Journal:  Plant Commun       Date:  2022-04-09

3.  Current Challenges in Plant Systems Biology.

Authors:  Danilo de Menezes Daloso; Thomas C R Williams
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

4.  Modularity Facilitates Flexible Tuning of Plastic and Evolutionary Gene Expression Responses during Early Divergence.

Authors:  Hannu Mäkinen; Tiina Sävilammi; Spiros Papakostas; Erica Leder; Leif A Vøllestad; Craig R Primmer
Journal:  Genome Biol Evol       Date:  2018-01-01       Impact factor: 3.416

5.  Comparative Study of Lectin Domains in Model Species: New Insights into Evolutionary Dynamics.

Authors:  Sofie Van Holle; Kristof De Schutter; Lore Eggermont; Mariya Tsaneva; Liuyi Dang; Els J M Van Damme
Journal:  Int J Mol Sci       Date:  2017-05-25       Impact factor: 5.923

Review 6.  Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory.

Authors:  Eric Bapteste; Philippe Huneman
Journal:  BMC Biol       Date:  2018-05-29       Impact factor: 7.431

7.  Co-expression and Transcriptome Analysis of Marchantia polymorpha Transcription Factors Supports Class C ARFs as Independent Actors of an Ancient Auxin Regulatory Module.

Authors:  Eduardo Flores-Sandoval; Facundo Romani; John L Bowman
Journal:  Front Plant Sci       Date:  2018-10-01       Impact factor: 5.753

8.  CoCoCoNet: conserved and comparative co-expression across a diverse set of species.

Authors:  John Lee; Manthan Shah; Sara Ballouz; Megan Crow; Jesse Gillis
Journal:  Nucleic Acids Res       Date:  2020-07-02       Impact factor: 16.971

9.  CoNekT: an open-source framework for comparative genomic and transcriptomic network analyses.

Authors:  Sebastian Proost; Marek Mutwil
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

10.  PhytoNet: comparative co-expression network analyses across phytoplankton and land plants.

Authors:  Camilla Ferrari; Sebastian Proost; Colin Ruprecht; Marek Mutwil
Journal:  Nucleic Acids Res       Date:  2018-07-02       Impact factor: 16.971

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