Ensemble Methods for Identifying RNA Operons and Regulons in the Clock Network of Neurospora Crassa
Ahmad M. Al-Omari, James Griffith, Ashley Scruse and 3 more
IEEE Access · 2022
doi:10.1109/access.2022.3160481 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
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 <italic>clock-controlled genes</italic> 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 <italic>clock-controlled genes</italic> provide linkage between hubs in their joint regulation. There were 71 significant feedforward loops within this clock network, the majority of which involved genes <italic>lhp-1</italic> 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 <italic>lhp-1</italic> defining an RNA operon. There appears to be no partitioning of light-regulated genes and circadian genes between the 12 hubs. The regulators <italic>lhp-1, has-1</italic>, and <italic>rrp-3</italic> appear to target putative <italic>clock-controlled genes</italic> 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 <inline-formula> <tex-math notation="LaTeX">$\chi ^{2} =2.133$ </tex-math></inline-formula> 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.
Abstract licence: CC BY-NC-ND
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.