Literature DB >> 31300195

Plant Networks as Traits and Hypotheses: Moving Beyond Description.

Amy Marshall-Colón1, Daniel J Kliebenstein2.   

Abstract

Biology relies on the central thesis that the genes in an organism encode molecular mechanisms that combine with stimuli and raw materials from the environment to create a final phenotypic expression representative of the genomic programming. While conceptually simple, the genotype-to-phenotype linkage in a eukaryotic organism relies on the interactions of thousands of genes and an environment with a potentially unknowable level of complexity. Modern biology has moved to the use of networks in systems biology to try to simplify this complexity to decode how an organism's genome works. Previously, biological networks were basic ways to organize, simplify, and analyze data. However, recent advances are allowing networks to move beyond description and become phenotypes or hypotheses in their own right. This review discusses these efforts, like mapping responses across biological scales, including relationships among cellular entities, and the direct use of networks as traits or hypotheses.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  causality; eigengene; hypothesis; network trait; time course; visualization

Year:  2019        PMID: 31300195     DOI: 10.1016/j.tplants.2019.06.003

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


  7 in total

Review 1.  Photosynthesis: basics, history and modelling.

Authors:  Alexandrina Stirbet; Dušan Lazár; Ya Guo; Govindjee Govindjee
Journal:  Ann Bot       Date:  2020-09-14       Impact factor: 4.357

2.  Gene Co-expression Network Analysis.

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

3.  Identification of Key Genes in 'Luang Pratahn', Thai Salt-Tolerant Rice, Based on Time-Course Data and Weighted Co-expression Networks.

Authors:  Pajaree Sonsungsan; Pheerawat Chantanakool; Apichat Suratanee; Teerapong Buaboocha; Luca Comai; Supachitra Chadchawan; Kitiporn Plaimas
Journal:  Front Plant Sci       Date:  2021-12-02       Impact factor: 5.753

4.  Identification of High Nitrogen Use Efficiency Phenotype in Rice (Oryza sativa L.) Through Entire Growth Duration by Unmanned Aerial Vehicle Multispectral Imagery.

Authors:  Ting Liang; Bo Duan; Xiaoyun Luo; Yi Ma; Zhengqing Yuan; Renshan Zhu; Yi Peng; Yan Gong; Shenghui Fang; Xianting Wu
Journal:  Front Plant Sci       Date:  2021-12-03       Impact factor: 5.753

5.  Diversification of heat shock transcription factors expanded thermal stress responses during early plant evolution.

Authors:  Ting-Ying Wu; Kar Ling Hoh; Kulaporn Boonyaves; Shalini Krishnamoorthi; Daisuke Urano
Journal:  Plant Cell       Date:  2022-09-27       Impact factor: 12.085

Review 6.  Network-based approaches for understanding gene regulation and function in plants.

Authors:  Dae Kwan Ko; Federica Brandizzi
Journal:  Plant J       Date:  2020-08-28       Impact factor: 6.417

7.  Evolutionarily conserved hierarchical gene regulatory networks for plant salt stress response.

Authors:  Ting-Ying Wu; HonZhen Goh; Christina B Azodi; Shalini Krishnamoorthi; Ming-Jung Liu; Daisuke Urano
Journal:  Nat Plants       Date:  2021-05-27       Impact factor: 15.793

  7 in total

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