IEEE Access (Jan 2022)

Ensemble Methods for Identifying RNA Operons and Regulons in the Clock Network of Neurospora Crassa

  • Ahmad M. Al-Omari,
  • James Griffith,
  • Ashley Scruse,
  • Robert W. Robinson,
  • Heinz-Bernd Schuttler,
  • Jonathan Arnold

DOI
https://doi.org/10.1109/ACCESS.2022.3160481
Journal volume & issue
Vol. 10
pp. 32510 – 32524

Abstract

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With both light entrainment data (L/D) and free running data in the dark (D/D), Variable Topology Ensemble Methods (VTENS) were used to reconstruct the entire genome-scale clock network involving 3380 genes and their products under the hypothesis that clock-controlled genes are both transcriptionally regulated and post-transcriptionally regulated through RNA operons. The clock network has 12 hubs with target genes surrounding twelve regulators, and 694 putative clock-controlled genes provide linkage between hubs in their joint regulation. There were 71 significant feedforward loops within this clock network, the majority of which involved genes lhp-1 and NCU06108 targeting genes connected with the ribosome and ribosome biogenesis. All 12 regulators target amino acid biosynthesis. The largest hub (768 genes) surrounded the post-transcriptional regulator lhp-1 defining an RNA operon. There appears to be no partitioning of light-regulated genes and circadian genes between the 12 hubs. The regulators lhp-1, has-1, and rrp-3 appear to target putative clock-controlled genes in ribosome biogenesis. The combined hypothesis of 6 RNA operons and 5 transcriptional regulons was successful in describing the dynamics of the clock network with 3380 genes and their products with a $\chi ^{2} =2.133$ per data point for 60,759 mRNA time points. With little known about allosteric regulation of metabolism, the clock network provided a major link between gene regulation and metabolism.

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