Details

Autor(en) / Beteiligte

• Muhammad, Durreshahwar
• Schmittling, Selene
• Williams, Cranos
• Long, Terri A.

Titel

More than meets the eye: Emergent properties of transcription factors networks in Arabidopsis

Ist Teil von

• Biochimica et biophysica acta. Gene regulatory mechanisms, 2017-01, Vol.1860 (1), p.64-74

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2017

Link zum Volltext

Quelle

ScienceDirect Journals (5 years ago - present)

Beschreibungen/Notizen

• Uncovering and mathematically modeling Transcription Factor Networks (TFNs) are the first steps in engineering plants with traits that are better equipped to respond to changing environments. Although several plant TFNs are well known, the framework for systematically modeling complex characteristics such as switch-like behavior, oscillations, and homeostasis that emerge from them remain elusive. This review highlights literature that provides, in part, experimental and computational techniques for characterizing TFNs. This review also outlines methodologies that have been used to mathematically model the dynamic characteristics of TFNs. We present several examples of TFNs in plants that are involved in developmental and stress response. In several cases, advanced algorithms capture or quantify emergent properties that serve as the basis for robustness and adaptability in plant responses. Increasing the use of mathematical approaches will shed new light on these regulatory properties that control plant growth and development, leading to mathematical models that predict plant behavior. This article is part of a Special Issue entitled: Plant Gene Regulatory Mechanisms and Networks, edited by Dr. Erich Grotewold and Dr. Nathan Springer. •Transcription Factor Networks (TFNs) describe dynamic biological systems that exhibit emergent properties•Computational and experimental techniques are essential for describing networks so that emergent properties can assessed•Systems involved in development and stress response that exhibit emergent properties in Arabidopsis have been described•Few systems have been modeled in such a way that their emergent properties can be quantitatively assessed