@article{2f4646f0ebfe4bd9af919f428b05ea90,
title = "Plant Networks as Traits and Hypotheses: Moving Beyond Description",
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.",
keywords = "causality, eigengene, hypothesis, network trait, time course, visualization",
author = "Amy Marshall-Col{\'o}n and Kliebenstein, {Daniel J.}",
note = "Funding for this work was provided by the NSF awards IOS 1339125, IOS 1655810, and IOS 1547796 to D.J.K. and NSF-IOS 1645875 to A.M-C. the USDA National Institute of Food and Agriculture, Hatch project number CA-D-PLS-7033-H to D.J.K. and by the Danish National Research Foundation (DNRF99) grant to D.J.K. Research reported in the publication was supported by the Foundation for Food and Agriculture Research under award number – Grant ID: 602757 to A.M.-C. The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views of the Foundation for Food and Agriculture Research. Funding for this work was provided by the NSF awards IOS 1339125 , IOS 1655810 , and IOS 1547796 to D.J.K. and NSF-IOS 1645875 to A.M-C., the USDA National Institute of Food and Agriculture , Hatch project number CA-D-PLS-7033-H to D.J.K., and by the Danish National Research Foundation ( DNRF99 ) grant to D.J.K. Research reported in the publication was supported by the Foundation for Food and Agriculture Research under award number – Grant ID: 602757 to A.M.-C. The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views of the Foundation for Food and Agriculture Research. Funding for this work was provided by the NSF awards IOS 1339125, IOS 1655810, and IOS 1547796 to D.J.K. and NSF-IOS 1645875 to A.M-C. the USDA National Institute of Food and Agriculture, Hatch project number CA-D-PLS-7033-H to D.J.K. and by the Danish National Research Foundation (DNRF99) grant to D.J.K. Research reported in the publication was supported by the Foundation for Food and Agriculture Research under award number ? Grant ID: 602757 to A.M.-C. The content of this publication is solely the responsibility of the authors and does not necessarily represent the official views of the Foundation for Food and Agriculture Research.",
year = "2019",
month = sep,
doi = "10.1016/j.tplants.2019.06.003",
language = "English (US)",
volume = "24",
pages = "840--852",
journal = "Trends in Plant Science",
issn = "1360-1385",
publisher = "Elsevier Ltd",
number = "9",
}