Computational study on ratio-sensing in yeast galactose utilization pathway.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
12 2020
Historique:
received: 13 05 2020
accepted: 16 10 2020
revised: 16 12 2020
pubmed: 5 12 2020
medline: 20 2 2021
entrez: 4 12 2020
Statut: epublish

Résumé

Metabolic networks undergo gene expression regulation in response to external nutrient signals. In microbes, the synthesis of enzymes that are used to transport and catabolize less preferred carbon sources is repressed in the presence of a preferred carbon source. For most microbes, glucose is a preferred carbon source, and it has long been believed that as long as glucose is present in the environment, the expression of genes related to the metabolism of alternative carbon sources is shut down, due to catabolite repression. However, recent studies have shown that the induction of the galactose (GAL) metabolic network does not solely depend on the exhaustion of glucose. Instead, the GAL genes respond to the external concentration ratio of galactose to glucose, a phenomenon of unknown mechanism that we termed ratio-sensing. Using mathematical modeling, we found that ratio-sensing is a general phenomenon that can arise from competition between two carbon sources for shared transporters, between transcription factors for binding to communal regulatory sequences of the target genes, or a combination of the aforementioned two levels of competition. We analyzed how the parameters describing the competitive interaction influenced ratio-sensing behaviors in each scenario and found that the concatenation of both layers of signal integration could expand the dynamical range of ratio-sensing. Finally, we investigated the influence of circuit topology on ratio-sensing and found that incorporating negative auto-regulation and/or coherent feedforward loop motifs to the basic signal integration unit could tune the sensitivity of the response to the external nutrient signals. Our study not only deepened our understanding of how ratio-sensing is achieved in yeast GAL metabolic regulation, but also elucidated design principles for ratio-sensing signal processing that can be used in other biological settings, such as being introduced into circuit designs for synthetic biology applications.

Identifiants

pubmed: 33275601
doi: 10.1371/journal.pcbi.1007960
pii: PCOMPBIOL-D-20-00810
pmc: PMC7744065
doi:

Substances chimiques

Transcription Factors 0
Galactose X2RN3Q8DNE

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1007960

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM120122
Pays : United States

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Microbiol Mol Biol Rev. 1999 Sep;63(3):554-69
pubmed: 10477308
Microbiol Mol Biol Rev. 2006 Mar;70(1):253-82
pubmed: 16524925
FEMS Microbiol Lett. 2002 Apr 9;209(2):141-8
pubmed: 12007797
Mol Cell Biol. 1984 Aug;4(8):1521-7
pubmed: 6092916
Curr Opin Microbiol. 1999 Apr;2(2):202-7
pubmed: 10322167
Genetics. 1986 Jun;113(2):229-46
pubmed: 3013721
EMBO J. 1998 Jul 15;17(14):4086-91
pubmed: 9670023
Cell. 1985 Apr;40(4):767-74
pubmed: 3886158
FEMS Yeast Res. 2002 Dec;2(4):539-50
pubmed: 12702270
Microbiol Mol Biol Rev. 1998 Jun;62(2):334-61
pubmed: 9618445
FEMS Microbiol Rev. 1997 Aug;21(1):85-111
pubmed: 9299703
Curr Genet. 2003 Jun;43(3):139-60
pubmed: 12715202
Cell. 2017 Sep 7;170(6):1184-1196.e24
pubmed: 28886385
Nature. 2008 Aug 28;454(7208):1119-22
pubmed: 18668041
Biochem J. 2002 May 1;363(Pt 3):515-20
pubmed: 11964151
Mol Microbiol. 2001 Jun;40(5):1059-66
pubmed: 11401712
J Mol Biol. 2002 Nov 8;323(5):785-93
pubmed: 12417193
Nat Rev Genet. 2007 Jun;8(6):450-61
pubmed: 17510665
J Biosci Bioeng. 2001;92(6):502-17
pubmed: 16233138
Sci Rep. 2016 Mar 21;6:23502
pubmed: 26996892
Nat Rev Microbiol. 2008 Aug;6(8):613-24
pubmed: 18628769
PLoS Biol. 2015 Jan 27;13(1):e1002041
pubmed: 25626068
Curr Opin Microbiol. 1999 Apr;2(2):195-201
pubmed: 10322165
FASEB J. 1995 Jun;9(9):777-87
pubmed: 7601342
Proc Natl Acad Sci U S A. 2015 Feb 3;112(5):1636-41
pubmed: 25605920
Proc Natl Acad Sci U S A. 2003 Oct 14;100(21):11980-5
pubmed: 14530388
J Bacteriol. 1986 Apr;166(1):313-8
pubmed: 3082856
Mol Cell Biol. 1994 Jun;14(6):3834-41
pubmed: 8196626
BMC Syst Biol. 2011 Jul 12;5:111
pubmed: 21749723
Cold Spring Harb Symp Quant Biol. 1961;26:249-56
pubmed: 14468226
Nat Commun. 2019 Mar 20;10(1):1279
pubmed: 30894528
Annu Rev Phys Chem. 2010;61:219-40
pubmed: 20055671
Mol Cell Biol. 1992 Jun;12(6):2701-7
pubmed: 1317007
Curr Opin Microbiol. 2008 Apr;11(2):87-93
pubmed: 18359269
Genetics. 1998 Dec;150(4):1377-91
pubmed: 9832517
Science. 2002 Oct 25;298(5594):824-7
pubmed: 12399590
PLoS One. 2012;7(5):e36321
pubmed: 22606254

Auteurs

Jiayin Hong (J)

Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.

Bo Hua (B)

Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.

Michael Springer (M)

Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, United States of America.

Chao Tang (C)

Center for Quantitative Biology and Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
School of Physics, Peking University, Beijing, China.

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