Literature DB >> 26990519

Tools of the trade: studying molecular networks in plants.

Sebastian Proost1, Marek Mutwil2.   

Abstract

Driven by recent technological improvements, genes can be now studied in a larger biological context. Genes and their protein products rarely operate as a single entity and large-scale mapping by protein-protein interactions can unveil the molecular complexes that form in the cell to carry out various functions. Expression analysis under multiple conditions, supplemented with protein-DNA binding data can highlight when genes are active and how they are regulated. Representing these data in networks and finding strongly connected sub-graphs has proven to be a powerful tool to predict the function of unknown genes. As such networks are gradually becoming available for various plant species, it becomes possible to study how networks evolve. This review summarizes currently available network data and related tools for plants. Furthermore we aim to provide an outlook of future analyses that can be done in plants based on work done in other fields.
Copyright © 2016. Published by Elsevier Ltd.

Mesh:

Year:  2016        PMID: 26990519     DOI: 10.1016/j.pbi.2016.02.010

Source DB:  PubMed          Journal:  Curr Opin Plant Biol        ISSN: 1369-5266            Impact factor:   7.834


  11 in total

1.  Expression Atlas of Selaginella moellendorffii Provides Insights into the Evolution of Vasculature, Secondary Metabolism, and Roots.

Authors:  Camilla Ferrari; Devendra Shivhare; Bjoern Oest Hansen; Asher Pasha; Eddi Esteban; Nicholas J Provart; Friedrich Kragler; Alisdair Fernie; Takayuki Tohge; Marek Mutwil
Journal:  Plant Cell       Date:  2020-01-27       Impact factor: 11.277

2.  Network-based integration of systems genetics data reveals pathways associated with lignocellulosic biomass accumulation and processing.

Authors:  Eshchar Mizrachi; Lieven Verbeke; Nanette Christie; Ana C Fierro; Shawn D Mansfield; Mark F Davis; Erica Gjersing; Gerald A Tuskan; Marc Van Montagu; Yves Van de Peer; Kathleen Marchal; Alexander A Myburg
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

Review 3.  Future Challenges in Plant Systems Biology.

Authors:  Mikaël Lucas
Journal:  Methods Mol Biol       Date:  2022

4.  Connectivity in gene coexpression networks negatively correlates with rates of molecular evolution in flowering plants.

Authors:  Rishi R Masalia; Adam J Bewick; John M Burke
Journal:  PLoS One       Date:  2017-07-31       Impact factor: 3.240

5.  Constructing Integrated Networks for Identifying New Secondary Metabolic Pathway Regulators in Grapevine: Recent Applications and Future Opportunities.

Authors:  Darren C J Wong; José Tomás Matus
Journal:  Front Plant Sci       Date:  2017-04-12       Impact factor: 5.753

6.  NorWood: a gene expression resource for evo-devo studies of conifer wood development.

Authors:  Soile Jokipii-Lukkari; David Sundell; Ove Nilsson; Torgeir R Hvidsten; Nathaniel R Street; Hannele Tuominen
Journal:  New Phytol       Date:  2017-02-10       Impact factor: 10.151

7.  LSTrAP-Cloud: A User-Friendly Cloud Computing Pipeline to Infer Coexpression Networks.

Authors:  Qiao Wen Tan; William Goh; Marek Mutwil
Journal:  Genes (Basel)       Date:  2020-04-16       Impact factor: 4.096

8.  The photomorphogenic factors UV-B RECEPTOR 1, ELONGATED HYPOCOTYL 5, and HY5 HOMOLOGUE are part of the UV-B signalling pathway in grapevine and mediate flavonol accumulation in response to the environment.

Authors:  Rodrigo Loyola; Daniela Herrera; Abraham Mas; Darren Chern Jan Wong; Janine Höll; Erika Cavallini; Alessandra Amato; Akifumi Azuma; Tobias Ziegler; Felipe Aquea; Simone Diego Castellarin; Jochen Bogs; Giovanni Battista Tornielli; Alvaro Peña-Neira; Stefan Czemmel; José Antonio Alcalde; José Tomás Matus; Patricio Arce-Johnson
Journal:  J Exp Bot       Date:  2016-08-19       Impact factor: 6.992

9.  Successive Domain Rearrangements Underlie the Evolution of a Regulatory Module Controlled by a Small Interfering Peptide.

Authors:  João Raimundo; Rómulo Sobral; Sara Laranjeira; Maria Manuela R Costa
Journal:  Mol Biol Evol       Date:  2018-12-01       Impact factor: 16.240

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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