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Copyright © 2008 by The National Academy of Sciences of the USA Microbiology Asymmetric segregation of protein aggregates is associated with cellular aging and rejuvenation *Institut National de la Santé et de la Recherche Médicale, Unité 571, F-75015 Paris, France; †Faculty of Medicine, Paris Descartes University, F-75015 Paris, France; and §Institut des Hautes Etudes Scientifiques, Le Bois-Marie, F-91440 Bures-sur-Yvette, France ‡To whom correspondence may be addressed at: Laboratoire de Genetique Moleculaire Evolutive et Medicale, Institut National de la Santé et de la Recherche Médicale, Unité 571, Faculté de Médecine Necker–Enfants Malades, Université René Descartes, Paris V, 156, Rue de Vaugirard, 75730 Paris Cedex 15, France., E-mail: lindner/at/necker.fr or Email: taddei/at/necker.fr Edited by Susan Gottesman, National Institutes of Health, Bethesda, MD, and approved January 4, 2008 Author contributions: A.B.L., E.J.S., and F.T. designed research; A.B.L. performed research; A.B.L. and R.M. contributed new reagents/analytic tools; A.B.L., A.D., and E.J.S. analyzed data; and A.B.L. and E.J.S. wrote the paper. ¶Present address: Department of Biology, Northeastern University, Boston, MA 02115. Received September 20, 2007. Freely available online through the PNAS open access option. This article has been cited by other articles in PMC.Abstract Aging, defined as a decrease in reproduction rate with age, is a fundamental characteristic of all living organisms down to bacteria. Yet we know little about the causal molecular mechanisms of aging within the in vivo context of a wild-type organism. One of the prominent markers of aging is protein aggregation, associated with cellular degeneracy in many age-related diseases, although its in vivo dynamics and effect are poorly understood. We followed the appearance and inheritance of spontaneous protein aggregation within lineages of Escherichia coli grown under nonstressed conditions using time-lapse microscopy and a fluorescently tagged chaperone (IbpA) involved in aggregate processing. The fluorescent marker is shown to faithfully identify in vivo the localization of aggregated proteins, revealing their accumulation upon cell division in cells with older poles. This accretion is associated with >30% of the loss of reproductive ability (aging) in these cells relative to the new-pole progeny, devoid of parental inclusion bodies, that exhibit rejuvenation. This suggests an asymmetric strategy whereby dividing cells segregate damage at the expense of aging individuals, resulting in the perpetuation of the population. Keywords: ibpA, inclusion bodies, protein aggregation, small heat-shock protein Aging is a fundamental characteristic of all living organisms. Recent work in our laboratory has identified and quantified aging in Escherichia coli (1), where cells progressively decline in growth rate and reproductive ability with increasing cell pole age, establishing this organism as a simple experimental model of aging (2). In this outwardly symmetrically dividing bacterium, the cell inheriting the old pole after division grows more slowly and divides less frequently, therefore exhibiting aging (1). Thus, the dividing cell partitions its resources and/or damaged components in a biased fashion, leading to differential growth potential distinguishing the old-pole aging cell and its young-pole counterpart (3, 4). To shed light on the molecular mechanism underlying aging in E. coli, we focus here on the partitioning of damaged, aggregated proteins in wild-type bacterial cells growing in a nonstressing favorable environment. Aggregated proteins are linked to cellular degeneracy in many age-related diseases [e.g., Huntington's disease, Alzheimer's disease, spongiform encephalopathies, Parkinson's disease, and cataracts (5, 6)]. In addition, numerous reports link protein maintenance and repair functions (e.g., folding and disaggregation-related chaperones and proteases) to aging (7, 8). Consequently, considerable effort has been invested in the study of protein aggregation, resulting in a better understanding of aggregation in vitro (9) and in the identification of a number of genes involved in this process, many of which are widely conserved in all kingdoms of life (10, 11). In contrast, less is known about the aggregation process in vivo, its causes, and its direct consequences on cell fate; such understanding has been hindered by the inability to follow in vivo the formation and outcome of inclusion bodies under native conditions. The bacterium E. coli has served as an important model for the study of protein aggregation in vivo. These studies focused on specific conditions where proteins readily form insoluble inclusion bodies (e.g., protein overproduction, mutants) (12–14). However, native E. coli proteins can also form inclusion bodies, a process promoted by stress conditions (e.g., oxidative or thermal stress) and certain mutations, as well as by natural transcription and translation errors, resulting in detectable aggregation even under conditions of no external stress (9). Similar inclusion bodies have been found in eukaryotic cells (15). In yeast, in vitro immunostaining of carbonylated proteins (16), correlated with aggregated proteins (17), revealed their retention in mother cells (16) although their in vivo dynamics and influence on aging could not be measured. Recently, the polarized asymmetric inheritance of aggrosomes in Drosophila melanogaster neuronal precursor cells as well as in epithelial crypts of patients suffering from the polyglutamine aggregation-associated ataxia type 3 disease was reported (18). Because the low number of inclusion bodies per bacterial cell (13) may lead to their asymmetric partitioning and because of their potential cellular toxicity, we investigated the hypothesis that asymmetric segregation of damaged proteins and their pole-biased accumulation may explain, at least in part, the observed pattern of E. coli aging. Results Reporting Inclusion Bodies in Vivo in Wild-Type Bacteria. To reveal in vivo the presence and localization of protein aggregates, we followed at the single-cell level the expression and localization of the E. coli inclusion bodies binding small heat-shock protein (sHSP) IbpA (inclusion body protein A) (19). To this end, the endogenous ibpA was replaced by a chromosomal gene fusion to the yellow fluorescent protein (YFP) in the MG1655 sequenced wild-type E. coli strain. IbpA was previously shown to be present in the insoluble cellular fraction of heat-stressed cells (20). To check whether IbpA-YFP can serve as detector for protein aggregates, we exposed the strain expressing the fluorescent gene construct (MGAY) to various aggregating conditions. Indeed, this resulted in strongly fluorescent foci colocalizing with the inclusion bodies, as visualized by fluorescence and phase contrast microscopy [Fig. 1
Inclusion Bodies Are Formed in Discrete Cellular Positions and Accumulate in Old Poles Under Nonstressing Conditions. To determine the presence and localization dynamics of damaged proteins marked by the IbpA-YFP fusion in the wild-type MGAY strain under native (37°C; rich media) nonstress, constant growth conditions, time-lapse films of 12 microcolonies (up to 400 cells each) arising from single cells were recorded and analyzed (SI Fig. 7), yielding the relevant physical properties of the cells and the fluorescent foci. Upon the first appearance of foci within a lineage, they are mostly detected at equal frequencies around three discrete positions within the cell: the mid-cell plane (28%), the new pole (30%), and the old pole (31%) (Fig. 2
Inclusion Body Segregation and Damage Purification. The majority of MGAY cells followed under the above nonstressed conditions have zero or one inclusion body per cell: 52.3% have no inclusion body, 46.5% of the cells contain only one inclusion body, and only 1.2% carry two inclusion bodies immediately after cell division. No diffuse fluorescence can be seen (Fig. 1 Following the cellular lineages and the history of each of the inclusion bodies enabled the investigation of the laws governing their formation and segregation. The overall probability of a fluorescent IbpA-YFP focus appearing between divisions of a cell devoid of foci at birth is 0.71. The probability of acquiring a second focus during this period is very low (0.037), probably because of a high propensity toward coaggregation of misfolded proteins. The probability of cells developing a focus decreased if there was a focus present in the mother cell that was subsequently passed on to the other offspring cell, as compared with the chance of acquiring one when the mother cell was devoid of aggregates [0.69 (n = 862) vs. 0.85 (n = 202), respectively; Wilcoxon rank test, P < 10−4]. Assuming that the inclusion body represents the majority of aggregated proteins in the cell, this bias suggests a purification effect, such that when an inclusion body is inherited by one offspring it decreases the chance of its appearance in the other. Hence, inclusion bodies appear to act as an intracellular sink for abnormal proteins. Inclusion Bodies Are Associated with an Age-Related Decrease in Cellular Growth Rate. We next compared the growth rate pattern within the lineages of the parental wild-type MG1655 strain and the isogenic reporter strain (MGAY) (grown under identical conditions), measured by extracting individual cellular exponential growth rates from microcolony growth followed by time-lapse microscopy. The two strains have similar growth rate (GR) means and distributions [GRMG1655 (n = 5,860 cells) = 0.0353 ± 0.0001 min−1; GRMGAY (n = 2,626) = 0.0356 ± 0.0001 min−1 (± standard errors)] and exhibit the same aging pattern, measured as the mean difference in growth rate between old-pole/new-pole cell pairs (1): [Δ(GRold − GRnew)]mean/GRmean = −3.95 ± 0.5% [t test (≠ 0), P < 10−4] and −3.90 ± 0.5% [± standard errors, t test (≠ 0), P < 10−4] for MG1655 and MGAY, respectively [t test (MG1655 ≠ MGAY), P = 0.67)]. Thus, the presence of the fluorescently tagged IbpA and the exposure to the excitation light did not affect the growth and aging pattern of the cells. In both strains, in the overall majority of the division events in the average lineage of the examined microcolonies, the young pole cell grows faster and the old-pole cell grows more slowly than their mother cell (Fig. 4 To determine whether the presence of the inclusion bodies is actually associated with some of the fitness loss in these cells, as opposed to passively marking the old pole, we chose an age-homogeneous subgroup consisting of all newborn cells (those that had inherited the new pole from their parent and had yet to divide themselves) and followed them through their first division. The pairs of cells produced from this division were divided into two discrete populations: in the first population, the focus present in the mother cell is retained in the old-pole cell after division (population 1), whereas in the second population, the focus is inherited by the new-pole cell (population 2). Newborn mother cells containing two foci (1% of the cases) were sorted according to retention of the brighter focus in their offspring. Aging, as reflected from the negative mean of the differences in growth rate between the old-pole and new-pole offspring cells is manifested in population 1 but not in population 2 (where the difference is smaller and not statistically significant), indicating that the presence of inclusion bodies negatively correlates with the cell growth rate (Fig. 5
Discussion Reconstructing the exponential growth phenotype of a bacterial population from its individuals revealed a steady state between aging and rejuvenation that is maintained in part by segregation of damage (e.g., protein aggregates). This may indicate that evolution has selected an asymmetric distribution of damage, prevailing over unbiased dilution of damage. Recent in silico models suggest that under most conditions such asymmetry may be selected (4, 22, 23). Interestingly, in the asymmetrically dividing bacteria Caulobacter crescentus, where aging was previously observed (24), the abundance of heat-shock proteins involved in disaggregation (e.g., Lon and DnaK) is biased toward the aging stalked cell (25). Previous hypotheses for the deleterious effects of aggregates in disease are generally based on either a direct toxic effect of aggregates (or their intermediates) or an indirect loss of function via depletion of freely diffused key proteins trapped with the aggregate (10). The loss-of-function model predicts that the draining of essential diffusible components should be shared by both siblings and would thus result in slower rejuvenation with mother cell age. This is inconsistent with the observed pattern where the growth rate difference between sibling pairs tends to increase with mother cell age (figures 2 The observed aggregates' segregation pattern may be the result of a passive mechanism whereby nucleoid occlusion determines the initial positioning of the stochastically appearing inclusion bodies (Figs. 1 Materials and Methods Strains. The sequenced wild-type strain of E. coli, MG1655 (34), was modified to express an improved version of the YFP fused to the C terminus of IbpA under the control of the endogenous chromosomal ibpA promoter resulting in the strain MGAY. The ftsZ84(TS) {from DRC14 [MC4100 ftsZ84(TS) leu::Tn10]}, ftsZ-ecfp under a LacI-controlled promoter {JOE521 [JOE309 D(λattL-lom)::bla lacIq P208-ftsZ-ecfp]} (kindly provided by J. Beckwith (Harvard Medical School, Boston) (35)], minB::kan [minCD locus mutant kindly provided by R. d'Ari (Institut Jacques Monod, Paris) (36)], and dam [constructed by direct gene knockout in the MG1655 strain (37)] loci were introduced separately into the MGAY strain by P1vir transductions. For overexpression of insoluble protein, the pET-28-based D2.3–4 single-chain Fv (scFv) antibody fragment expression plasmid (38) was introduced into the MGAY strain. Bugbuster kit (Novagen) protocol was used for inclusion body purification. The resulting insoluble fraction was spread on a glass slide and was visualized by using a fluorescence microscope. Additional cloning information is provided in SI Methods. Growth Conditions. Cells were inoculated from exponentially growing cultures onto a solid matrix of LB-agarose (LB from DIFCO, Becton Dickinson; agarose from Qbiogene) in microscope cavity slides as previously described (1) at 37°C. Induction of aggregates in MG1655, MG1655(ibp::cat), and MGAY strains was achieved by addition of streptomycin (10 μg/ml; Sigma) to exponentially growing cultures 30 min before inoculation on the slide. IPTG (50 μM) was added to exponentially growing culture of the MGAY(ftsZ-ecfp) strain 60 min before inoculation on the slide. 2-Aminopurine (200 μg/ml; Sigma) was added to the MGAY(dam) strain during exponential phase 2 h before inoculation on the slide (39). For live cell DNA and membrane staining, DAPI (0.3 μg/ml; Sigma) and FM4-64 (2 μg/ml; Molecular Probes, Invitrogen) were added to the culture 20 min before inoculation as well as to the LB-agarose support. Microscopy. The previously described experimental protocol (1) was followed with minor changes: phase contrast as well as fluorescent images (6-second exposure) were taken every 90 seconds. Image Analysis. The custom analysis program [Bacterial Home Vision, BHV (1)] was used with the following introduced changes: phase contrast images, treated with the “flatten background” filter of Metamorph software (Roper Scientific), were used to automatically segment cells; where necessary (5–10% of cells), manual correction of the segmentation was implemented. Fluorescent foci were detected through their maximal intensity pixel, recording their intensity, coordinates, and affiliation to its containing cell, enabling their tracking throughout the cellular lineages. Data Analysis. Growth rates were calculated by exponential fit to the length change of individual bacteria as a function of time, as implemented in the BHV software (1), taking into account cells with at least eight time point measurements (R > 0.95). No correlation was found between the geographical location of cells within colonies and their growth rate (SI Fig. 9), suggesting that there is no nutrient limitation during colony growth (1). Indeed, the overall colony growth rate (as measured by colony area increase over time) remained unchanged throughout the experiments (data not shown). Statistical t tests were made on the normally distributed growth rate values by using the t test for unpaired data with equal variance (as judged by an F test value; F > 0.05) implemented in Kaleidagraph 4.0 software. Supporting Information
ACKNOWLEDGMENTS. We thank M. F. Bredeche and A. Babic for help in cloning; G. Paul for help in preparing Fig. 4 Footnotes The authors declare no conflict of interest. This article is a PNAS Direct Submission. This article contains supporting information online at www.pnas.org/cgi/content/full/0708931105/DC1. References 1. Stewart EJ, Madden R, Paul G, Taddei F. Aging and death in an organism that reproduces by morphologically symmetric division. PLoS Biol. 2005;3:e45. [PubMed] 2. Kirkwood TB. Understanding the odd science of aging. Cell. 2005;120:437–447. [PubMed] 3. Kirkwood TB. Asymmetry and the origins of ageing. Mech Ageing Dev. 2005;126:533–534. [PubMed] 4. Ackermann M, Chao L, Bergstrom CT, Doebeli M. On the evolutionary origin of aging. Aging Cell. 2007;6:235–244. [PubMed] 5. Dobson CM. The structural basis of protein folding and its links with human disease. Philos Trans R Soc London B. 2001;356:133–145. [PubMed] 6. Harding JJ. 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PLoS Biol. 2005 Feb; 3(2):e45.
[PLoS Biol. 2005]Cell. 2005 Feb 25; 120(4):437-47.
[Cell. 2005]Mech Ageing Dev. 2005 May; 126(5):533-4.
[Mech Ageing Dev. 2005]Aging Cell. 2007 Apr; 6(2):235-44.
[Aging Cell. 2007]Philos Trans R Soc Lond B Biol Sci. 2001 Feb 28; 356(1406):133-45.
[Philos Trans R Soc Lond B Biol Sci. 2001]Ageing Res Rev. 2002 Jun; 1(3):465-79.
[Ageing Res Rev. 2002]Exp Gerontol. 2003 Oct; 38(10):1037-40.
[Exp Gerontol. 2003]Science. 2003 May 16; 300(5622):1142-5.
[Science. 2003]Mol Microbiol. 2003 Oct; 50(2):585-95.
[Mol Microbiol. 2003]Nat Biotechnol. 2004 Nov; 22(11):1399-408.
[Nat Biotechnol. 2004]FEBS Lett. 2003 Feb 27; 537(1-3):215-21.
[FEBS Lett. 2003]Proc Natl Acad Sci U S A. 2004 Jan 13; 101(2):523-8.
[Proc Natl Acad Sci U S A. 2004]Mol Microbiol. 2003 Oct; 50(2):585-95.
[Mol Microbiol. 2003]Trends Cell Biol. 2000 Dec; 10(12):524-30.
[Trends Cell Biol. 2000]J Bacteriol. 1992 Nov; 174(21):6938-47.
[J Bacteriol. 1992]Microbiology. 2004 Jan; 150(Pt 1):247-59.
[Microbiology. 2004]J Mol Biol. 2002 Jul 12; 320(3):559-72.
[J Mol Biol. 2002]PLoS Biol. 2005 Feb; 3(2):e45.
[PLoS Biol. 2005]Nat Biotechnol. 2002 Jan; 20(1):87-90.
[Nat Biotechnol. 2002]PLoS Biol. 2005 Feb; 3(2):e45.
[PLoS Biol. 2005]Aging Cell. 2007 Apr; 6(2):235-44.
[Aging Cell. 2007]Proc Natl Acad Sci U S A. 2006 Oct 3; 103(40):14831-5.
[Proc Natl Acad Sci U S A. 2006]Theor Popul Biol. 2007 Jun; 71(4):473-90.
[Theor Popul Biol. 2007]Science. 2003 Jun 20; 300(5627):1920.
[Science. 2003]J Mol Biol. 1987 Apr 20; 194(4):653-62.
[J Mol Biol. 1987]J Bacteriol. 1999 Jan; 181(1):197-203.
[J Bacteriol. 1999]Proc Natl Acad Sci U S A. 2007 Jun 26; 104(26):10877-81.
[Proc Natl Acad Sci U S A. 2007]Proc Natl Acad Sci U S A. 2004 Jan 20; 101(3):835-40.
[Proc Natl Acad Sci U S A. 2004]Science. 2002 Dec 6; 298(5600):1942-6.
[Science. 2002]Trends Cell Biol. 2000 Dec; 10(12):524-30.
[Trends Cell Biol. 2000]Science. 1997 Sep 5; 277(5331):1453-62.
[Science. 1997]Mol Microbiol. 2001 Oct; 42(2):395-413.
[Mol Microbiol. 2001]J Bacteriol. 1990 Jun; 172(6):3500-2.
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[Proc Natl Acad Sci U S A. 2000]J Mol Biol. 2002 Jul 12; 320(3):559-72.
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[PLoS Biol. 2005]J Bacteriol. 2006 Jan; 188(1):339-42.
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