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Positive feedback of G1 cyclins ensures coherent cell cycle entry * Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Ave., New York, NY 10021, USA + The Rockefeller University, 1230 York Ave., New York, NY 10021, USA Correspondence and requests for materials should be addressed to J.M.S. (e-mail: jskotheim/at/rockefeller.edu) The publisher's final edited version of this article is available at Nature. See commentary "On the cell cycle and its switches" in Nature, volume 454 on page 288. See other articles in PMC that cite the published article.Abstract In budding yeast, the Start checkpoint integrates multiple internal and external signals into an all-or-none decision to enter the cell cycle. Here, we show that Start behaves like a switch due to systems-level feedback in the regulatory network. In contrast to current models proposing a linear cascade of Start activation, transcriptional positive feedback of the G1 cyclins Cln1,2 induces the near-simultaneous expression of the ~200-gene G1/S regulon. Nuclear Cln2 drives coherent regulon expression, while cytoplasmic Cln2 drives efficient budding. cln1,2-deleted cells frequently arrest as unbudded cells, incurring a large fluctuation-induced fitness penalty due to both the lack of cytoplasmic Cln2 and insufficient G1/S regulon expression. Thus, positive-feedback-amplified expression of Cln1,2 simultaneously drives robust budding and rapid, coherent regulon expression. A similar G1/S regulatory network in mammalian cells, comprised of non-orthologous genes, suggests either the conservation of regulatory architecture or convergent evolution. Positive feedback in genetic control networks can ensure that cells do not slip back and forth between either cell cycle phases or developmental fates. For example, commitment to sporulation in budding yeast is driven by transcriptional positive feedback of the meiotic inducer IME11–3. In Xenopus laevis, positive feedback underlies the all-or-none characteristics of oocyte maturation4, 5 and mitotic entry6, 7, suggesting the frequent use of positive feedback to regulate cellular transitions. Absent from this list of examples is the well-studied Start checkpoint controlling cell cycle commitment in budding yeast. Nutrient limitation and pheromone exposure arrests cells prior to DNA replication, while size control extends G1 in small daughter cells8–11. Beyond Start, cells proceed through division almost independently of size and environment9. Previous experiments suggested that Start represents a feedback-free cascade of events12 (see schematic in Fig. 1a
Any one of the three G1-cyclins suffices to activate the regulon, suggesting the potential for transcriptional positive feedback of CLN1,2 on their own expression22, 23. However, analysis of synchronized populations led to the conclusion that positive feedback, defined as Cln1,2 advancing transcription from the CLN2 promoter, did not occur in WT; rather, Cln3 was the sole activator of firing14, 15. In sharp contrast to the prevailing linear model, we demonstrate that Cln1,2-dependent positive feedback is central to Start control. We use single-cell time-lapse fluorescent microscopy to show that Cln1,2 advance timing and reduce variability in the activation of CLN2, and of the entire G1/S regulon. We further explore the mechanisms and functional significance of this control. Positive Feedback of G1-Cyclins Positive feedback of Cln1,2 on their own transcription should yield faster accumulation of CLN2 mRNA in WT cells than in cln1Δ cln2Δ cells. Although Cln1,2-dependent positive feedback was clearly demonstrated in the absence of Cln322–24, this does not imply that WT cells function similarly. In synchronized populations, near-identical timing of onset of CLN2 promoter activity was observed in the presence or absence of CLN1,2, leading to the linear model14, 15. Here, we revisit this issue using single cell assays. As a reporter for CLN2 transcription, we use unstable GFP driven by the CLN2 promoter24, 25 (see Methods and Fig S1–2). Birth time was determined using a marker for cytokinesis (disappearance of the Myo1-GFP myosin ring11, which did not influence the CLN2pr-GFP signal). The timing of CLN2 promoter induction in individual cells is sharp and easily quantified computationally (see Methods, Fig 1d,e Positive feedback should advance CLN2 promoter activation in WT compared to cln1Δ cln2Δ cells14, 15. Strikingly, in daughter cells, the average time between birth and CLN2 promoter activation (τon; Fig. 1d–e,f We explored the potential redundancy of CLN1 and CLN2 in activating the feedback loop. Although budding is slightly delayed in cln1Δ CLN2, and CLN1 cln2Δ cells compared to WT, the timing of CLN2 promoter activation is similar (Table S3), indicating that CLN1 and CLN2 form redundant conduits for positive feedback. Our data can be reconciled with previous work14, 15 arguing against positive feedback because measurements averaged over a population of cells necessarily lose information. In addition to delayed onset of transcription, cln1Δ cln2Δ cells express a more intense and prolonged CLN2pr-GFP signal. The larger peaks are likely due to a delay in the Clb2-mediated repression of SBF/MBF14, 15, 20, 21 (Fig. 1d–e Therefore, imperfect synchrony11 allows the high and lengthened transcriptional response from the first cln1Δcln2Δ cells firing the CLN2 promoter to mask the delayed response of the majority. This effect is reconstituted in Fig. 1g Coherent Regulon Expression Once a cell senses the signal to initiate the cell cycle, it must actuate all the machinery effecting the cell cycle transition. At Start, this requires activating many SBF and MBF regulated genes16 encoding proteins involved in DNA replication and bud site formation. However, noise in protein expression in individual cells26 could interfere with expression of this large regulon. In particular, the delayed and variable induction of the CLN2 promoter in cln1Δ cln2Δ cells suggested that G1/S regulon expression might be severely disrupted in these feedback-free cells. To investigate regulon expression in individual cells, we compared induction of CLN2pr-GFP and RAD27-mCherry, another member of the regulon16 (Fig. 2a–d
Further comparison of these three promoters in cln1Δ cln2Δ cells reveals that CLN2 is almost always the first of the three to be activated, while the times to subsequent RFA1pr and RAD27pr inductions are significantly different from each other (P=0.004; Table S3). This suggests that the CLN2 promoter is the easiest for Cln3 to induce, followed by the RFA1 promoter, followed by the RAD27 promoter. We note that two MBF targets27–29, RAD27 and RFA1, exhibit different induction timing. To ask whether lack of coherence in cln1Δ cln2Δ cells might simply come from low G1 cyclin levels, we analyzed cln1Δ cln2Δ 6xCLN3 cells. Although expression of both the CLN2 and RAD27 promoters was significantly accelerated by extra CLN3, these cells still exhibited strongly incoherent expression compared to WT (Fig 2i To directly short-circuit the proposed positive feedback loop, we examined gene expression in cln1Δ cln2Δ cln3Δ MET3pr-CLN2 cells on methionine-free medium (MET3pr-CLN2 on). Although induction of CLN2pr-GFP and RAD27-mCherry were strongly accelerated by constitutive CLN2 expression, incoherent expression compared to WT was still observed (Fig. 2j Overall, these experiments suggest that the positive feedback architecture is a particularly effective way to promote coherent regulon expression. Stochastic cell cycle arrest In addition to exhibiting incoherent gene expression, 26% of cln1Δ cln2Δ cells fail to bud (Fig. 3a
We hypothesized that in strongly incoherent cells, activation of only some regulon members might lead to activation of mitotic Clbs, which would then inactivate further SBF/MBF regulated expression20 (Fig. 1a To further test the role of transcription in unbudded arrest, we deleted the rate-limiting SBF inhibitor CLB2 in a MET3pr-CLN2 cln1Δ cln2Δ strain and observed a decrease in unbudded arrest from 26% to 13% (Fig. 3d Thus, mitotic cyclins promote unbudded arrest specifically in highly incoherent cln1Δ cln2Δ cells, probably due to insufficient regulon expression before Clb-dependent SBF/MBF inactivation. Cln1,2 inactivate the transcriptional inhibitor WHI5 We wanted to determine if Cln1,2-dependent positive feedback operated through Whi5, a transcriptional inhibitor of the G1/S regulon18, 19. Whi5 inactivation is rate-limiting for CLN2 transcription and occurs via Cln-dependent phosphorylation, which leads to nuclear exclusion19. First, we developed a quantitative assay for nuclear levels of Whi5-GFP by marking the nucleus with HTB2-mCherry (histone H2B) and measuring the difference between nuclear and cytoplasmic GFP fluorescence intensity(Fig. 4a–c
Since Whi5 exit and CLN2 induction are tightly correlated in WT (Fig. 4j To examine the role of Whi5 phosphorylation in positive feedback and regulon coherence, we used a WHI5(6A) allele19 lacking 6 of 12 Cln-dependent phosphorylation sites. Although Whi5(6A) was reported to be constitutively nuclear19, we observed significant, but slower and incomplete, shuttling of Whi5(6A)-GFP out of the nucleus at Start and again at nuclear division (10/10 cells; Fig. 4l The addition of WHI5(6A) to cln1Δ cln2Δ cells increased the frequency of unbudded arrest from 26% to 51%, consistent with the idea that unbudded arrest is a consequence of incoherent regulon expression in cln1Δ cln2Δ cells. Overall, these results strongly suggest that Whi5 is a Cln1,2 substrate in WT cells, and that this phosphorylation contributes to positive feedback. To see if Whi5 was the only such substrate, we compared timing of CLN2 promoter activation for whi5Δ and cln1Δ cln2Δ whi5Δ cells (Fig. S14; Table S3). Deletion of WHI5 advances CLN2 promoter induction in both WT and cln1Δ cln2Δ cells. Since cln1Δ cln2Δ whi5Δ cells delayed CLN2pr induction relative to whi5Δ cells, Cln1,2 likely act through a Whi5-dependent and a Whi5-independent mechanism to promote positive feedback. Previous results suggested a Whi5-independent Cln3 requirement for SBF activation19, possibly acting through Swi619, 33; a similar mechanism may be employed by Cln1,2. Separable Cln2 functions Cln1,2 are pleiotropic effectors of Start with important nuclear and cytoplasmic functions34, 35, complicating interpretation of cln1Δ cln2Δ phenotypes. Therefore, we tested forced-localization CLN2 alleles, expressed from the wild-type CLN2 promoter, that restrict Cln2 to either the nucleus (CLN2-NLS) or the cytoplasm (CLN2-NES)34. cln1Δ cln2Δ CLN2-NLS cells exhibit coherent regulon expression (P=0.45 compared to WT), but cln1Δ cln2Δ CLN2-NES cells are highly incoherent compared to WT (P<10−7), implying that coherent gene expression is primarily a nuclear function of CLN2 (Fig. 6a–b; compare to Fig. 2 Consistent with a role of cytoplasmic Cln2 in budding34, 35, integration of CLN2-NES into cln1Δ cln2Δ cells strongly reduces arrest (to 3%) in spite of less coherent gene expression. Furthermore, exogenous expression of CLN2 drives cell cycle progression in previously blocked cln1Δ cln2Δ cells (Fig. S10) and restores viability of mbp1Δ swi4Δ cells, which lack SBF and MBF and have very low regulon expression36, 37. The localization mutants also have different efficacy for relieving unbudded arrest. Integration of CLN2-NLS into cln1Δ cln2Δ cells, providing coherent gene expression, leads to a partial but significant reduction of unbudded arrest (from 26% to 19%; P=0.04). Thus, cell morphogenesis and budding can be driven by two partially redundant pathways: via cytoplasmic Cln1,234, 38 or other genes in the G1/S regulon such as Pcl1,231 (Fig. 6c). Having Cln1,2 coherently activate the G1/S regulon and directly drive bud emergence provides a compact solution to ensure efficient and timely morphogenesis and G1/S regulon expression, before subsequent Clb activation. Discussion The regulatory architecture of the G1/S regulon provides an effective design to promote coordinated activation. The promoters are pre-loaded during G1 with a complex of factors that are subsequently rapidly activated by phosphorylation17, 24, 30 removing a potentially rate-limiting step. Furthermore, the upstream cyclin Cln3 is intrinsically more capable of triggering the CLN2 promoter compared to two other randomly selected promoters from the regulon (RFA1 or RAD27; Fig 2e–h The sharpness of the Start switch, defined by the rapid exclusion of the transcriptional inhibitor Whi5 and the coherent expression of the G1/S regulon, is principally due to CLN1,2-dependent positive feedback (Fig. 6c, red lines) rather than a linear Cln3-Whi5-SBF pathway14, 15, 18, 19. Our data are inconsistent with the sharpness of Start being primarily due to non-linear increases in CLN3 translation39 or nuclear translocation40, or cooperative phosphorylation of Whi5 by Cln319, since these mechanisms all predict a sharp switch in feedback-free cln1Δ cln2Δ cells. In budding yeast, Start is a fundamental point of commitment where physiological inputs such as nutrients, mating factor, size and cell type are integrated to produce an all-or-none decision. We show here that positive feedback provides robust switch-like cell cycle entry. Our single-cell data suggest that the point of commitment to the cell cycle, Start, is a very brief interval coinciding with the initiation of positive feedback and Whi5 exclusion. Subsequent Cln-dependent events, such as Sic1 phosphorylation and degradation41 leading to DNA replication, could then be viewed as dependent on, rather than part of, Start. This work also provides a molecular basis for understanding the modular structure of G111. Two temporally uncorrelated processes in G1 are separated by the molecular event of Whi5 inactivation and nuclear exit. The upstream module is responsible for cell size control, while the downstream size-independent module actuates cell cycle progression11. Here, we showed that rapid Whi5-exit coincides with initiation of Cln1,2-dependent positive feedback. Once feedback is initiated, the rapidly accumulating Cln1,2 likely dominates cellular Cln-kinase activity and Cln3, the rate-limiting upstream activator, is rendered unimportant. In general, we expect modularity, best revealed by single-cell analysis, to be a signature of feedback-driven cellular control networks. Our systems-level analysis of Start provides a template for further studies of other checkpoints in yeasts or the G1/S transition in mammals. The utility of feedback at Start leads us to expect similar regulatory architecture across eukaryotes, even if the enabling genes are not homologous. Methods Summary Strain and plasmid constructions Standard methods were used throughout. All strains are W303-congenic. Time-lapse microscopy Preparation of cells for time-lapse microscopy was performed as previously described24. Since mutant cells are larger than WT, we integrated MET3pr-CLN2 to conditionally express Cln214. On media lacking methionine (MET3pr-CLN2 on), cells bud and divide at comparable sizes (Fig. S3). By pre-growing cells without methionine before plating on media containing methionine (MET3pr-CLN2 off), we are able to begin our time-lapse imaging experiments with similarly sized WT and cln1Δ cln2Δ cells. We imaged the first Start in cells that were budded at the time of transfer,and that divided least 30 minutes after methionine addition, to allow degradation of Cln213, 42 made before MET3 promoter turnoff. Image Analysis Automated image segmentation and fluorescence quantification of yeast grown under time-lapse conditions were performed as previously described11, 24. We added a function to previously described custom software24 to identify nuclei labeled with Htb2-mCherry (histone). The red signal was smoothed, disconnected fragments were eliminated and the cells with nuclei too small, or dim, or oddly shaped (area vs. minimally enclosed rectangle) were eliminated. After background subtraction, the nucleus was defined to be where the fluorescence was greater than 70% of maximum, which controls for cell variability and vertical movement of the nucleus. The nuclear Whi5-GFP signal was the difference between the average nuclear and cytosolic intensities. Data Analysis Fluorescence time series were extracted from movies as previously described24. Time-series were fit using smoothing splines (MATLAB) with a smoothing parameter of 0.001. We defined the onset of transcription for a G1/S fluorescent reporter by the maximum in the second derivative that fell between birth and budding (scored separately), which accurately locates rate-changes in spite of noisy data and slow changes in the background fluorescence (Fig. S3–4). Methods Strain and plasmid constructions Standard methods were used throughout. All strains are W303-congenic. In synchronized WT cells, GFP mRNA from the CLN2 promoter and CLN2 mRNA follow similar kinetics, and accumulation of cellular fluorescence follows with a slight delay24. WHI5(6A) and WHI5(6A)-GFP strains with modified WHI5 at the endogenous locus were a gift from M. Tyers. Plasmids for introduction of CLN2-NES and CLN2-NLS under control of the CLN2 promoter were obtained from B. Futcher, and integrated at the ura3 locus in a cln1Δ cln2Δ background. Histone H2B (HTB2) was C-terminally tagged with mCherry using PCR-mediated tagging, with the template plasmid pKT35543 by J. Bean and B. Timney. RAD27 and RFA1 were tagged similarly. All other alleles were from laboratory stocks described previously. Time-lapse microscopy Preparation of cells for time-lapse microscopy was performed as previously described24. Since mutant cells are larger than WT, we integrated MET3pr-CLN2 to conditionally express Cln214. On media lacking methionine (MET3pr-CLN2 on), cells bud and divide at comparable sizes (Fig. S3). By pre-growing cells without methionine before plating on media containing methionine (MET3pr-CLN2 off), we are able to begin our time-lapse imaging experiments with similarly sized WT and cln1Δ cln2Δ cells. We imaged the first Start in cells that were budded at the time of transfer, and that divided least 30 minutes after methionine addition, to allow degradation of Cln213, 42 made before MET3 promoter turnoff. Briefly, growth of microcolonies was observed with fluorescence time-lapse microscopy at 30ºC using a Leica DMIRE2 inverted microscope with a Ludl motorized XY stage. Images were acquired every 3 minutes for cells grown in glucose and every 6 minutes for cells grown in glycerol/ethanol with a Hamamatsu Orca-ER camera. Custom Visual Basic software integrated with ImagePro Plus was used to automate image acquisition and microscope control. Image Analysis Automated image segmentation and fluorescence quantification of yeast grown under time-lapse conditions were performed as previously described24. Budding was scored visually, and cell birth was scored by the disappearance of Myo1-GFP at the bud neck, generally with single frame accuracy. Background was measured as the average fluorescence of unlabelled cells and subtracted from the measured pixel intensities. We added a function to previously described custom software24 to identify nuclei labeled with Htb2-mCherry (histone). The red signal was smoothed, disconnected fragments were eliminated and the cells with nuclei too small, or dim, or oddly shaped (area vs. minimally enclosed rectangle) were eliminated. After background subtraction, the nucleus was defined to be where the fluorescence was greater than 70% of maximum, which controls for cell variability and vertical movement of the nucleus. The nuclear Whi5-GFP signal was the difference between the average nuclear and cytosolic intensities. Data Analysis P-values using appropriate tests yielded P<0.001 for all comparisons in the text, except where noted. Fluorescence time series were extracted from movies as previously described24. Time-series were fit using smoothing splines (MATLAB) with a smoothing parameter of 0.001. We defined the onset of transcription for a G1/S fluorescent reporter by the maximum in the second derivative that fell between birth and budding (scored separately). This method was chosen because it accurately locates rate-changes in spite of noisy data and slow changes in the background fluorescence. The onset time was nearly unchanged over a range of 103 in smoothing parameter (Fig. S3–4).
Acknowledgments This work was supported by the National Institute of Health (J.M.S., E.D.S., F.R.C.), the Burroughs Wellcome Fund (J.S) and the National Science Foundation (E.D.S.). We thank N. Buchler, G. Charvin, B. Drapkin and J.E. Ferrell for insightful conversations, and J. Widom and C. Wittenberg for thoughtful comments on the manuscript. We thank J.M. Bean, B. Timney and J. Robbins for help with strain/plasmid construction, M. Schwab for the plasmid pWS358, B. Futcher for the CLN2-NES and CLN2-NLS plasmids, E. Bi for the pKT355 mCherry tagging plasmid, and M. Tyers for WHI5 phosphorylation site mutant strains and plasmids. The authors declare no competing financial interests. References 1. Simchen G, Pinon R, Salts Y. Sporulation in Saccharomyces cerevisiae: premeiotic DNA synthesis, readiness and commitment. Exp Cell Res. 1972;75:207–18. [PubMed] 2. Nachman I, Regev A, Ramanathan S. Dissecting timing variability in yeast meiosis. Cell. 2007;131:544–56. [PubMed] 3. 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Exp Cell Res. 1972 Nov; 75(1):207-18.
[Exp Cell Res. 1972]Mol Cell Biol. 2001 Mar; 21(5):1603-12.
[Mol Cell Biol. 2001]Science. 1998 May 8; 280(5365):895-8.
[Science. 1998]Nature. 2003 Nov 27; 426(6965):460-5.
[Nature. 2003]Proc Natl Acad Sci U S A. 2003 Feb 4; 100(3):975-80.
[Proc Natl Acad Sci U S A. 2003]Science. 1974 Jan 11; 183(4120):46-51.
[Science. 1974]Nature. 2007 Aug 23; 448(7156):947-51.
[Nature. 2007]Exp Cell Res. 1977 Mar 1; 105(1):79-98.
[Exp Cell Res. 1977]Curr Biol. 2004 Dec 14; 14(23):R1014-27.
[Curr Biol. 2004]EMBO J. 1993 May; 12(5):1955-68.
[EMBO J. 1993]Cell. 1991 May 31; 65(5):875-83.
[Cell. 1991]Nature. 1991 Jun 27; 351(6329):754-7.
[Nature. 1991]EMBO J. 1995 Oct 2; 14(19):4803-13.
[EMBO J. 1995]Genes Dev. 1995 Nov 15; 9(22):2780-94.
[Genes Dev. 1995]Cell. 1991 May 31; 65(5):875-83.
[Cell. 1991]Mol Cell. 2006 Jan 6; 21(1):3-14.
[Mol Cell. 2006]EMBO J. 1995 Oct 2; 14(19):4803-13.
[EMBO J. 1995]Genes Dev. 1995 Nov 15; 9(22):2780-94.
[Genes Dev. 1995]Yeast. 2000 Oct; 16(14):1313-23.
[Yeast. 2000]EMBO J. 1995 Oct 2; 14(19):4803-13.
[EMBO J. 1995]Genes Dev. 1995 Nov 15; 9(22):2780-94.
[Genes Dev. 1995]EMBO J. 1995 Oct 2; 14(19):4803-13.
[EMBO J. 1995]Genes Dev. 1995 Nov 15; 9(22):2780-94.
[Genes Dev. 1995]Cell. 1993 Sep 24; 74(6):993-1007.
[Cell. 1993]Mol Cell. 2006 Aug; 23(4):483-96.
[Mol Cell. 2006]Nature. 2007 Aug 23; 448(7156):947-51.
[Nature. 2007]EMBO J. 1995 Oct 2; 14(19):4803-13.
[EMBO J. 1995]Genes Dev. 1995 Nov 15; 9(22):2780-94.
[Genes Dev. 1995]Mol Biol Cell. 1998 Dec; 9(12):3273-97.
[Mol Biol Cell. 1998]Mol Biol Cell. 1998 Dec; 9(12):3273-97.
[Mol Biol Cell. 1998]Nature. 2001 Jan 25; 409(6819):533-8.
[Nature. 2001]Cell. 2001 Sep 21; 106(6):697-708.
[Cell. 2001]Mol Cell. 2006 Aug; 23(4):483-96.
[Mol Cell. 2006]Nature. 2001 Jan 25; 409(6819):533-8.
[Nature. 2001]Genes Dev. 1996 Jan 15; 10(2):129-41.
[Genes Dev. 1996]Cell. 1993 Sep 24; 74(6):993-1007.
[Cell. 1993]Nat Cell Biol. 2004 Jan; 6(1):59-66.
[Nat Cell Biol. 2004]Science. 1998 Nov 27; 282(5394):1721-4.
[Science. 1998]Cell. 2004 Jun 25; 117(7):887-98.
[Cell. 2004]Cell. 2004 Jun 25; 117(7):899-913.
[Cell. 2004]Cell. 2004 Jun 25; 117(7):887-98.
[Cell. 2004]Cell. 2004 Jun 25; 117(7):899-913.
[Cell. 2004]Cell. 2004 Jun 25; 117(7):899-913.
[Cell. 2004]Mol Cell Biol. 2002 Jun; 22(12):4402-18.
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