Discovering Regulators in Post-Transcriptional Control of the Biological Clock of $Neurospora~crassa$ Using Variable Topology Ensemble Methods on GPUs
Author(s) -
Ahmad Al-Omari,
James Griffith,
Cristian Caranica,
Thiab Taha,
Heinz-Bernd Schuttler,
Jonathan Arnold
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2871876
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In the previous paper, we reconstructed the entire transcriptional network for all 2418 clock-associated genes in the model filamentous fungus, Neurospora crassa (N. crassa ). Several authors have suggested that there is extensive post-transcriptional control in the genome-wide clock network (IEEE 3: 27, 2015). Here we have successfully reconstructed the entire clock network in N. crassa with a variable topology ensemble method (VTENS), assigning each clock-associated gene to the regulation of one or more of five transcription factors as well as to six RNA operons. The resulting network provides a unifying framework to explore the clock’s linkage to metabolism through post-transcriptional regulation, in which ~850 genes are predicted to fall under the regulatory control of an RNA operon. A unique feature of all of the RNA operons inferred is their functional connection to genes connected to the ribosome. We have been successful in distinguishing several hypotheses about regulatory topologies of the clock network through protein profiling of the regulators.
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