All living organisms must degrade mRNA to adapt gene expression to changing environments. In bacteria, initiation of mRNA decay generally occurs through an endonucleolytic cleavage. In the Gram-positive model organism Bacillus subtilis and probably many other bacteria, the key enzyme for this task is RNase Y, which is anchored at the inner cell membrane. While this pseudocompartmentalization appears coherent with translation occurring primarily at the cell periphery, our knowledge on the distribution and dynamics of RNase Y in living cells is very scarce. Here, we show that RNase Y moves rapidly along the membrane in the form of dynamic short-lived foci. These foci become more abundant and increase in size following transcription arrest, suggesting that they do not constitute the most active form of the nuclease. This contrasts with RNase E, the major decay-initiating RNase in E. coli, where it was shown that formation of foci is dependent on the presence of RNA substrates. We also show that a protein complex (Y-complex) known to influence the specificity of RNase Y activity in vivo is capable of shifting the assembly status of RNase Y toward fewer and smaller complexes. This highlights fundamental differences between RNase E- and RNase Y-based degradation machineries.
KEYWORDS: Bacillus subtilis, RNA degradation, RNA processing, RNase Y, membrane proteins
ABSTRACT
Metabolic turnover of mRNA is fundamental to the control of gene expression in all organisms, notably in fast-adapting prokaryotes. In many bacteria, RNase Y initiates global mRNA decay via an endonucleolytic cleavage, as shown in the Gram-positive model organism Bacillus subtilis. This enzyme is tethered to the inner cell membrane, a pseudocompartmentalization coherent with its task of initiating mRNA cleavage/maturation of mRNAs that are translated at the cell periphery. Here, we used total internal reflection fluorescence microscopy (TIRFm) and single-particle tracking (SPT) to visualize RNase Y and analyze its distribution and dynamics in living cells. We find that RNase Y diffuses rapidly at the membrane in the form of dynamic short-lived foci. Unlike RNase E, the major decay-initiating RNase in Escherichia coli, the formation of foci is not dependent on the presence of RNA substrates. On the contrary, RNase Y foci become more abundant and increase in size following transcription arrest, suggesting that they do not constitute the most active form of the nuclease. The Y-complex of three proteins (YaaT, YlbF, and YmcA) has previously been shown to play an important role for RNase Y activity in vivo. We demonstrate that Y-complex mutations have an effect similar to but much stronger than that of depletion of RNA in increasing the number and size of RNase Y foci at the membrane. Our data suggest that the Y-complex shifts the assembly status of RNase Y toward fewer and smaller complexes, thereby increasing cleavage efficiency of complex substrates like polycistronic mRNAs.
INTRODUCTION
Degradation and processing of mRNA are important steps in the control of gene expression, notably in fast-growing bacteria (1–4). The decay of a bacterial mRNA generally follows an all-or-none pattern, implying that if control is to be efficient, it must occur at the initiating step. Studies in the two model organisms, Escherichia coli and Bacillus subtilis, distant by 3 billion years of evolution (5), have been instrumental for the discovery of the major enzymes involved in this process (6). Almost all known bacteria have RNase E and/or RNase Y, which are completely different proteins but functionally similar endoribonucleases that emerged by convergent evolution (2). In addition, these proteins have distinctive subcellular addresses, with RNase E forming cytoplasmic P-body-like assemblies in Caulobacter (7, 8) or short-lived membrane-tethered foci in E. coli (9, 10). In B. subtilis, RNase Y is also bound to the membrane, probably by a single-pass N-terminal helix (11; RNase Y is called YmdA in this reference), where it might also interact with the dynamin-like protein DynA (12). This subcellular localization fits well with the observation that translation occurs predominantly on ribosomes distributed around the cell periphery (13, 14). It highlights the capacity of bacteria to establish an intricate subcellular architecture in which important biological processes can be confined to microenvironments (15, 16).
B. subtilis RNase Y affects global mRNA stability; the protein shows endonucleolytic activity on preferably 5′ monophophorylated substrates in vitro with an RNase E-like single-strand-specific cleavage specificity (17). It affects the intracellular levels of a majority of transcripts in B. subtilis (18–20) and S. pyogenes (21) but does so to a lesser extent in S. aureus (9). The existence of an RNase Y-based degradosome has been proposed (22, 23), but in contrast to the E. coli (24, 25) and Caulobacter crescentus (26) RNase E-based degradosomes, such a complex cannot be isolated from B. subtilis in the absence of cross-linking agents. Whether RNase Y can form any meaningful interactions with other ribonucleases in vivo remains an open question (2, 27–29).
Recently, three small proteins, YlbF, YmcA, and YaaT, were shown to alter RNase Y activity in vivo (30). These proteins can stably bind to each other, forming the so-called Y-complex (31, 32), and are required for the efficient maturation of operon mRNAs and affect the abundance of certain riboswitches (33). They were shown to be important for sporulation, natural competence for transformation, and biofilm formation (34–38). The Y-complex also carries two oxygen-sensitive [4Fe-4S]2+ clusters (39) that are important for their pleiotropic functions (32). To what extent these diverse effects of the Y-complex are specific or indirect, by modulating the RNase Y-mediated mRNA stability, is unknown. RNase Y was one of the proteins found in independent pulldown experiments using YlbF (30) and YaaT (31). Since it does not affect all RNase Y targets, the Y-complex has been proposed to act as a specificity factor for this general endonuclease (33).
To examine how the Y-complex accomplishes this feat, we first studied the distribution and dynamics of the membrane-bound RNase Y using time-lapse total internal reflection fluorescence microscopy (TIRFm), along with single-particle tracking (SPT) analysis. RNase Y was found to form discrete short-lived foci, assemblies, that diffuse freely along the cell periphery, showing different dynamic behaviors. Without the N-terminal transmembrane domain, RNase Y is uniformly distributed in the cytoplasm. However, while a similar transient clustering of RNase E into cooperative active degradation bodies was observed in E. coli (10), RNase Y focus formation is, in contrast to that of RNase E, independent of the presence or the abundance of RNA substrates. Rather, our observations suggest that clustering of RNase Y represents an inactive or less active form of the enzyme that accumulates in the absence of substrate. In agreement, we show that the three Y-complex proteins are required to maintain the number of RNase Y foci at a lower level and to reduce their size. This work suggests that the Y-complex modulates the specificity of RNase Y by altering the membrane assembly status of the endoribonuclease.
RESULTS
RNase Y localization at the membrane is highly dynamic.
RNase Y has a single transmembrane domain at the N terminus, which anchors the protein at the membrane (11) with the C-terminal part of the protein located in the cytosol. In order to localize RNase Y in living cells, we ectopically expressed a C-terminal RNase Y-green fluorescent protein (GFP) fusion protein from a xylose-inducible construct integrated at the amyE locus. This strain (SSB2063a) has no discernible phenotype under the experimental conditions used. As expected, epifluorescence microscopy showed that the bulk of RNase Y was localized at the cell membrane (Fig. 1A).
We then analyzed the same strain using TIRF microscopy. This technique produces images with improved signal-to-noise ratios of peripherally localized proteins by selectively exciting fluorophores close to the glass-specimen interface. It is, therefore, a sensitive technique for studying the dynamics of molecules near the cell surface, like RNase Y, with high temporal resolution. SSB2063a cells, grown in LB at 37°C in the presence of xylose to induce rny-gfp expression, were analyzed at early exponential and stationary phase (Fig. 1C). We observed that RNase Y is not uniformly distributed along the membrane, as suggested by epifluorescence images (Fig. 1A). Instead, RNase Y formed distinct foci (assemblies) along the rod in the form of asymmetrical, variably sized foci (Fig. 1C). They appeared within the diffraction limit that restricts the lateral resolution to 200 to 300 nm and the axial resolution to 100 to 200 nm (40). These foci circulated in a fluctuating and rapid movement at the cell periphery (see Movie S1 in the supplemental material). It has been shown previously that fluorescent proteins can aggregate, which can affect the subcellular localization pattern, but the presence of the monomeric A206K mutation in GFP inhibits or strongly reduces this effect (41). We have compared two strains expressing RNase Y-GFP fusions based on the GFPmut1 protein. One strain (SSB2063b) carried the unmodified GFPmut1 open reading frame (ORF), while the other (strain SSB2063a) expressed GFPmut1 carrying the A206K mutation (mGFPmut1). Both strains showed an identical or very similar membrane localization of RNase Y with the formation of well distinguishable foci (Fig. S1A and compare Movies S1 and S2).
The distribution of these assemblies seems very similar in both exponential- and stationary-phase cells, but foci were slightly bigger and brighter in the latter (Fig. 1C). This apparent accumulation of RNase Y during stationary phase could be an artifact resulting from its expression from an inducible promoter, as recently shown with the MreB-Gfp fusion in B. subtilis (42). In order to rule out such an effect, we constructed a strain (SSB2048) expressing an RNase Y-superfolder GFP (sfGFP) fusion protein from the original chromosome location using the native rny promoter. We used the superfolder version of GFP, which folds more efficiently even when fused to a poorly folding protein (43, 44). Strain SSB2048, expressing RNase Y-sfGFP as the sole source of RNase Y, appeared functional: it displays a wild-type (WT) morphology in exponential and stationary phases of growth (Fig. S2B) and has only a slightly increased doubling time compared to that of a wild-type strain (SSB1002) in both LB and defined SMS medium at 37°C (Fig. S2A). Western blotting of total extracts showed that the levels of the RNase Y-sfGFP fusion protein were very similar to that of the wild-type RNase Y (Fig. 1B). We imaged mid-log-phase cells grown in SMS medium at 37°C in bright-field, epifluorescence, and TIRF illumination modes (Fig. 1D). RNase Y-sfGFP localized along the cell membrane (Fig. 1D, Epi), forming discrete irregular foci in TIRF mode very similar to the pattern that we had previously observed for the ectopically expressed RNase Y-GFP (compare Fig. 1C and D). A time series streaming acquisition of 20 to 30 s in TIRF mode using a 100-ms exposure time revealed a very dynamic distribution of short-lived RNase Y foci at the cell membrane (Movie S3). Analysis of changes in fluorescence intensity in live cells during a 20-s period showed that the intensity of individual RNase Y foci fluctuated over 196 consecutive images (Fig. S3). This suggests that RNase Y can diffuse by associating/dissociating from the foci in all directions and without any correlation with the cell axis. The localization of RNase Y in the form of foci tethered to the cell membrane is strictly dependent on the N-terminal transmembrane domain. A strain (SSB2066) expressing exclusively the ΔTMD-RNase Y-sfGFP fusion protein shows a homogenous distribution of RNase Y in the cytoplasm (Fig. S1B).
RNA substrate availability does not affect RNase Y dynamics.
We next wanted to know whether substrate availability could affect the localization and dynamic behavior of RNase Y. Messenger RNAs are the principal substrates of RNase Y that do not participate in rRNA maturation. To test this possibility, we grew B. subtilis strain SSB2048 in the presence and absence of the transcription inhibitor rifampin. Exponentially growing cells were treated with rifampin, and the dynamic distribution of RNase Y-sfGFP within the cell was examined after 15 and 30 min. We found that the absence of mRNA substrates had no significant effect on the discrete membrane localization and mobility of RNase Y (Fig. 2A, images, and Movie S4). To analyze the distribution and fluorescence intensity profiles of RNase Y at the membrane, we performed line scans over the long axis of the cells (Fig. 2B). The derived plots of average pixel intensity and variance allowed us to quantify changes in the distribution and level of RNase Y on the membrane. We detected no significant differences between rifampin-treated and nontreated cells. The distribution of fluorescence intensity as well as its variance over the entire cell length were very similar (Fig. 2C). We conclude that the availability of mRNA substrates is not a major factor that determines the distribution of RNase Y foci in B. subtilis.
Quantitative analysis of RNase Y focus dynamics.
The time lapse streaming analyses of RNase Y localization by simple visualization described above suggested that the distribution of RNase Y is not affected by the availability of its substrates. We then evaluated whether the availability of RNA substrate influences RNase Y focus density, i.e., the number of RNase Y foci per cell surface area. The average number of foci identified under TIRF illumination mode was estimated at ∼0.3/μm2. Depletion of RNA substrates following addition of rifampin led to an almost 3-fold increase in focus density (∼0.8/μm2) (Fig. 3A). Using a linear correlation between the two-dimensional (2D) cell surface area estimated from bright-field images and overall focus density, this corresponds to an increase in RNase Y foci from ∼2 to 5 to 6 per cell in the absence of RNA substrates. In addition, the intensity of the foci, a measure for the relative number of RNase Y molecules in a focus, also increased slightly by ∼22% 30 min after transcription arrest (Fig. 3B). Under these conditions, the absolute amount of RNase Y in the cell increased by about 40% compared to that of untreated cells (Fig. 3C, compare lanes 2 and 4).
We then decided to measure and quantify the RNase Y movements employing single-particle tracking (SPT) tools to analyze at the single-cell level the effect of transcription arrest on the dynamics of RNase Y foci at the membrane (see Fig. S4 and Materials and Methods).
Dynamic behavior of individual foci was determined by mean square displacement (MSD) analysis of their trajectory (Fig. 4A) and used to compile average MSD (45). The highly dynamic foci exhibited different types of motion (several MSD curves) (Fig. 4A). Observing >18,000 RNase Y focus trajectories under each condition and strain, we found that in the wild-type strain (SSB2048) under normal growth conditions, a majority (almost 60%) of RNase Y foci appeared constrained, while ∼25% displayed directed or random motions (Fig. 4B). Unclassified motions correspond to trajectories (<20%) that can be referred to as blended types of motion (45). Interestingly, upon transcription arrest (30 min after addition of rifampin), the proportion of the constrained fraction decreases to ∼40%, in favor of the unclassified and, to a lesser extent, the random motion category (Fig. 4B), indicating a decreased number of static (constrained) foci.
Based on the MSD analysis of individual trajectories from all observed foci, we determined the kinetic parameters of RNase Y movement at the B. subtilis membrane. The characteristics of the constrained RNase Y foci were not affected by transcription arrest; they remained confined at the same position for an average time of 1.6 s with a median value of 1.3 s before detectable movement occurred (Fig. 4C). We calculated the diffusion coefficient for each of the randomly diffusing foci in single cells and extracted the average diffusion coefficient for the entire relevant population using a linear fit model. The median diffusion coefficient increases slightly from 0.02 to 0.03 μm2/s in transcriptionally arrested cells (Fig. 4C). The median RNase Y focus velocities of the directed motion category, calculated over the entire trajectory, revealed speeds of ∼400 nm/s that also increased by ∼20% upon transcription arrest (Fig. 4C).
Effect of YaaT, YmcA, and YlbF on RNase Y dynamics.
A complex of YaaT, YlbF, and YmcA (the Y-complex), previously investigated as a regulator of biofilm formation (31, 37), was recently shown to physically interact with RNase Y and play an important role in the maturation of polycistronic mRNAs (30, 33). In this study, we analyzed the effect of single, double, and triple mutants of the yaaT, ymcA, and ylbF genes on the cleavage of the riboswitch RNAs yitJ and thrS localized in the 5′ untranslated regions (UTRs) of the respective genes. Both RNAs were stabilized in the mutants, unlike that of the WT strain. The yitJ riboswitch level increased 28-fold in an RNase Y null mutant and was still increased up to 16-fold in the ΔyaaT ΔylbF double mutant (strain SSB579) and 2- to 5-fold in all other mutants (Fig. 5). Y-complex mutations had a similar effect on the abundance of the thrS riboswitch, where the strongest stabilization was also observed in the ΔyaaT ΔylbF double mutant (Fig. 5).
The Y-complex has been proposed to function as a specificity factor rather than a general activator of RNase Y activity (33), but it is not clear how this might be achieved. We first studied whether Y-complex mutations could alter the size and number of RNase Y foci at the membrane. A strong increase in focus density was observed in the mutant strains. The number of RNase Y foci/μm2 was 3.5× to 4.5× higher in the mutant strains, with the strongest effect observed in the ΔylbF strain (Fig. 6A). We also measured a significant increase in focus intensity (1.5× to 2×) for all mutants compared to the level for the wild-type strain, with the ΔylbF strain again showing the greatest effect (Fig. 6B). The strongly increased number of RNase Y foci at the membrane, coupled with the increased size of the foci (focus intensity), suggested that RNase Y expression itself is induced in the Y-complex mutant strains. We therefore determined RNase Y levels by Western blotting in total cell extracts. The Y-complex single mutations led to a 1.6-, 2-, and 2-fold increase in RNase Y in the ΔymcA, ΔylbF, and ΔyaaT strains, respectively, compared to that of the wild-type strain (Fig. 6D). This increase is even stronger (up to 3-fold) if we also consider the accumulation of a likely degradation product with an apparent molecular weight (MW) of ∼80 kDa (Fig. 6D).
We next analyzed whether the Y-complex has the potential to affect the dynamics of RNase Y movement. Single-knockout mutations of the three Y proteins and a ΔyaaT ΔylbF double mutation were introduced into strain SSB2048, expressing the RNase Y-sfGFP fusion protein from the native locus. We characterized the effect of these mutations on the three categories of RNase Y motion (directed, random, and constrained) that we had identified by the MSD analysis described above. In all mutants, we observed a significant decrease of the constrained motion population from 60% (WT) to ∼38% in the ΔyaaT ΔylbF double mutant, which showed a slightly stronger effect than the three single-mutant strains (Fig. 6C). This reduction of constrained RNase Y foci was compensated by an increase in the random motion and unclassified categories, with the directed motion class remaining constant in all strains (Fig. 6C).
The analysis of RNase Y focus kinetics revealed no significant differences between the wild-type and mutant strains. The time of confinement for the constrained foci was 1.3 s in the wild type and increased by at most 0.2 s in the mutant strains (Fig. S6A). The diffusion coefficient of the random motion category remained constant at ∼0.02 μm2/s, and the speed of the directed motion foci was stable at ∼400 nm/s (Fig. S6A).
DISCUSSION
A major observation from this work is evidence that RNase Y forms highly motile foci along the cell membrane, whose dynamics can be altered by substrate availability and interaction with protein partners. In accordance with the presence of an N-terminal transmembrane domain, RNase Y has been reported to localize to the periphery of the cell and to form foci at the division septum (11, 12). Epifluorescence microscopy, carried out in this study under live cell conditions, confirmed this localization. However, only under TIRF illumination mode could we observe that RNase Y actually forms discrete assemblies (foci) that are present on the entire cell surface. They are short-lived and diffuse rapidly over the entire membrane. Moreover, the fluorescence intensity of the RNase Y foci fluctuates appreciably between consecutive images and across a significant depth of field. Such fluctuations are not observed for membrane-tethered versions of GFP alone (46), indicating that the foci are dynamic structures where RNase Y-sfGFP molecules freely associate/dissociate. Since RNase Y carries an N-terminal transmembrane domain, this redistribution likely occurs entirely between membrane-tethered proteins. Indeed, we showed that without the transmembrane domain, RNase Y localizes uniformly to the cytoplasm. This strongly suggests that the RNase Y-GFP fusion protein used in this work is not prone to spontaneous self-aggregation, potentially affecting subcellular localization, as has been reported in some cases (41). It also indicates that the membrane anchoring of RNase Y is not vital for B. subtilis, as reported previously (47).
Our observations of RNase Y dynamics are reminiscent of the model proposed for E. coli RNase E, in which formation of membrane-tethered foci and constraints on diffusion arise from the transient clustering of RNase E into cooperative degradation bodies (10). However, here we present compelling evidence that the apparent analogy between RNase E and RNase Y membrane dynamics does not translate into functional equivalence. Indeed, depleting the cell of RNA substrates through transcription arrest does not reduce or smooth out the patchy pattern of RNase Y distribution at the membrane. To the contrary, following addition of rifampin the number of RNase Y foci doubled, and their intensity increased by >20%. This clearly suggests that clustering of RNase Y in membrane-anchored foci represents an inactive, or less active, form of the enzyme. It also indicates that RNase Y is a stable protein whose quantity is not significantly affected by substrate availability. Single-particle tracking tools and a mean square displacement (MSD) analysis indicated that in exponentially growing cells, 60% of RNase Y foci exhibit a constrained diffusion behavior, i.e., they remain immobile for more than 1 s. We propose that the constrained motion foci are the principle active forms of RNase Y and that the reduced mobility is caused by the interaction with an RNA substrate. Indeed, in B. subtilis translation occurs predominantly around the periphery of the cell (13), where RNase Y would encounter actively translated polycistronic substrates to be processed or a suboptimally translated mRNA to initiate its degradation. In agreement with this hypothesis, the number of foci increases 2-fold following transcription arrest, but the share of constrained foci drops from 60% to 40%. The remaining 40% of constrained foci may be due to an only partial depletion of RNA from the cell, as the analysis was carried out 30 min after addition of rifampin. This assumption would also fit with the observation that the interval during which movement of the constrained foci is restricted remains constant under all conditions at ∼1.3 s. The diffusion rate of randomly diffusing assemblies and the speed of directed motion foci were slightly increased following transcription arrest. It is noteworthy that the measured translation speed of the directed motion foci attains ∼400 nm/s, which is considerably faster than what has been described for other focus-forming membrane proteins, like B. subtilis MreB (∼60 nm/s) (45), suggesting a largely unimpaired freedom of movement.
We could not reverse the effect of transcription arrest on RNase Y focus formation and dynamics when simultaneously overproducing the yitJ riboswitch from a T7 promoter (Fig. S6B). However, yitJ RNA synthesis under these conditions was only about 2-fold higher than normal wild-type levels and presumably could not compensate for the loss of global cellular RNA substrates following addition of rifampin.
Interestingly, knockout mutations of the Y-complex genes yaaT, ylbF, and ymcA have impact on RNase Y dynamics similar to, albeit much stronger than, that of depletion of RNA substrates, keeping in mind that rifampin treatment probably does not lead to a complete removal of mRNA in the cell. Individual gene deletions of proteins from the Y complex increased the number of RNase Y foci up to 4.5-fold and their intensity by about 2-fold. This increase in both the number and relative size of the foci can at least partially be explained by the ∼2-fold increased concentration of RNase Y under these conditions. However, RNase Y clearly has a propensity to form higher-molecular-weight assemblies at the membrane. The individual Y-complex mutations have been shown to reduce cleavage/processing of only a relatively small proportion of RNase Y substrates, essentially polycistronic mRNAs and, to a lesser degree, riboswitches (33). The rny-sfgfp transcript might also be affected, which would explain the 2- to 3-fold increase in the RNase Y-sfGFP protein level observed in the mutant strains.
The degradation product of ∼80 kDa likely lacks sequences from the C-terminal GFP domain, as the N-terminal part of RNase Y upstream of the antibody recognition site would have an MW of less than 9 kDa, which is too small to account for the apparent difference of ∼20 kDa in MW.
Our data suggest that the Y-complex acts by modulating the size and number of the membrane-associated RNase Y assemblies. Since a higher focus intensity (i.e., size of foci) coincides with a reduced activity toward certain substrates, even when the number of foci (and the intracellular level of RNase Y) is significantly increased, we suggest that smaller enzyme complexes constitute the more active form of RNase Y, at least with respect to RNA substrates whose cleavage depends on the Y-complex. In addition, the assembly of RNase Y complexes appears to occur in a continuum without discrete steps; individual Y-complex mutants as well as the ylbF-yaaT double mutant lead to a rather continuous pattern of increase in focus intensity. The simultaneous increase in intensity and number of RNase Y foci is obviously also linked to the observed increase in RNase Y levels. However, the fact that more RNase Y expression leads to less activity in the cell indicates that the observed assembly into larger complexes represents a less active form of the enzyme.
It has recently been shown that the YmcA, YlbF, and YaaT proteins form a ternary complex with a stochiometry of 1:1:1 (32). While individual pulldown experiments suggested that RNase Y can interact with YaaT and YlbF (30, 31), there is no evidence that YmcA or the three proteins together bind to RNase Y. In addition, since YaaT is considerably more abundant than YmcA and YlbF, different associative forms likely exist in vivo (32). This could explain the differential effects of the individual mutants observed here. In the case of the yitJ and thrS riboswitches, both of which depend on the Y-complex for their efficient degradation (33), we found that their levels are highest not in the triple mutant but rather in the ylbF-yaaT double mutant. This again relates directly to our observation that the interaction of the Y-complex proteins with RNase Y can influence the global assembly status of RNase Y over a significant range of both number and size of foci (Fig. 6). The Y-complex genes ymcA, ylbF, and yaaT are transcribed at similar levels during growth and turned off as the culture enters stationary phase. However, only ymcA and ylbF depend on Spo0A for their downregulation, suggesting a complex regulatory mechanism (31). In addition, it will be important to explore whether the Y-complex serves as a metabolic or environmental sensor of mRNA stability in light of recent evidence that the Y-complex carries iron-sulfur clusters (39) and that these clusters appear essential for RNA maturation (32).
Since the Y-complex mainly affects maturation of mRNA in operons without any recognizable sequence or structural specificity (33), our work raises the question of how the assembly status of RNase Y at the membrane can impact RNA cleavage. RNase Y without its transmembrane domain forms mostly elongated dimers in solution (47), and we have shown that this form of the enzyme is active in vitro (17). The formation of dimers is likely induced by the extensive unstructured N-terminal domain (∼200 amino acids), which alone can dimerize while undergoing conformational changes (48). In TIRF microscopy, the RNase Y dimers are not resolved because they are shorter than the diffraction limit. Moreover, most of the RNase Y molecules appear to be present in the form of very bright foci. The resulting shorter exposure times probably render dimeric RNase Y molecules practically invisible. These large RNase Y assemblies most likely are also active in cleaving RNA, notably the subpopulation that shows the constrained motion profile. At present, we cannot estimate how many RNase Y molecules are present in an average focus, but for unknown reasons they could be less efficient in cleaving the most bulky substrates, like translated polycistronic mRNAs. At the same time, assembling RNase Y into a few large structures should inevitably reduce the availability of isolated low-molecular-weight forms of the enzyme, which should be more evenly distributed along the membrane, as suggested by the epifluorescence images (Fig. 1). Their reduction could, for example, reduce the rapid access of abundantly transcribed riboswitches to RNase Y for degradation. In our model, summarized in Fig. 7, we view the Y-complex and its individual components as a subtle chaperon-like modulator of RNase Y activity by shifting the equilibrium from higher- to lower-molecular-weight assemblies of RNase Y. However, despite some preliminary data that Y-complex proteins do not alter ΔTMD-RNase Y activity and specificity in vitro, we also cannot exclude the possibility that these proteins play a more direct role in influencing the specificity of membrane-bound RNase Y in vivo.
The extent to which the addition of the rigid GFP moiety to the C terminus of RNase Y influenced our measurements remains an open question. Since deletion of the transmembrane domain was sufficient to uniformly distribute the RNase Y-GFP fusion protein in the cytoplasm, it is unlikely that the GFP moiety significantly contributes to focus formation. The observed very fast focus velocities of the fusion protein, exceeding 400 nm/s, also suggest that the GFP domain does not strongly interfere with this freedom of movement. Thus, while the qualitative results are likely independent of the presence of the GFP domain, alterations of quantitative aspects might well occur.
An important outstanding question concerns the stoichiometry, structure, and composition of RNase Y foci. This will require superresolution microscopy techniques and in situ hybridization approaches to colocalize potential interaction partners, be they membrane tethered or cytoplasmic. Many other factors have been proposed to interact with RNase Y, but these interactions appear to be transient at best (28). However, they may well be sufficient to transiently shift the assembly status of RNase Y under specific conditions, i.e., by interacting with the intrinsically unstructured N-terminal domain of RNase Y. Such domains are promiscuous binders that are constantly involved in various interactions with diverse partners (49). In this respect, it is noteworthy that the N-terminal domain, which contributes to the dimerization and elongated structure of RNase Y, can be shifted to the monomeric state upon interaction with an antibody recognizing a short peptide within the domain (48), suggesting that other factors modulate RNase Y tertiary complexes. Studying these interactions will help us understand the ever-increasing complexity of RNA metabolism in bacteria that not only involves ingenious types of compartmentalization but also modulation of highly dynamic enzyme assemblies.
MATERIALS AND METHODS
Bacterial strains and growth conditions.
Strains used in this study are listed in Table 1. The RNase Y deletion strain SSB503 was constructed by replacing the rny open reading frame with that of chloramphenicol acetyltransferase (651 nucleotides [nt]) from the S. aureus plasmid pC194 (50). A final PCR fragment containing the cat ORF flanked by ∼700 nt from the rny up- and downstream regions was used to replace the rny ORF through a double recombination event, selecting for chloramphenicol resistance.
TABLE 1.
Strain | Relevant genotype | Reference or source |
---|---|---|
SSB1002 | Wild-type strain | 1A2 (BGSC) |
SSB503 | Δrny::cat | This work |
SSB576 | ΔyaaT | This work |
SSB577 | ΔymcA | This work |
SSB578 | ΔylbF | This work |
SSB579 | ΔyaaT ΔylbF | This work |
SSB580 | ΔyaaT ΔymcA | This work |
SSB581 | ΔymcA ΔylbF | This work |
SSB582 | ΔyaaT ΔymcA ΔylbF | This work |
SSB2048 | rny-sfgfp | This work |
SSB2063a | trpC2 thrC::sfp+-erm ΔamyE::Pxyl-rny-mgfp-mut1 | This work |
SSB2063b | trpC2 thrC::sfp+-erm ΔamyE::Pxyl-rny-gfp-mut1 | This work |
SSB2066 | rny(Δ4-72)-sfgfp | This work |
SSB2068 | rny-sfgfp ΔymcA | This work |
SSB2069 | rny-sfgfp ΔylbF | This work |
SSB2070 | rny-sfgfp ΔyaaT | This work |
SSB2075 | rny-sfgfp ΔyaaT ΔylbF | This work |
Strain SSB2063a was constructed by transforming strain OMG930 (51) with plasmid pSG5908-(A206K). Plasmid pSG5908, kindly provided by J. Errington, expresses RNase Y-GFP and is based on the C-terminal GFPmut1 fusion vector pSG1154 (52). After integration at the amyE locus, RNase Y-GFP is expressed from the xylose-inducible promoter (11). Expression of rny-gfp was induced by the addition of 60 mM xylose (1%). We have introduced the A206K mutation in gfpmut1 to create the monomeric form of GFP (mGFP), which has been shown to strongly reduce the potential formation of nonphysiological foci often observed for GFP fusion proteins (41). Nevertheless, we also analyzed a strain expressing the unmodified RNase Y-GFPmut1 fusion protein (SSB2063b) and detected no differences in localization and dynamics using TIRF microscopy.
Strain SSB2048 was obtained by replacing the native rny gene between the start and stop codons with an rny-sfgfp construct that expresses the RNase Y-sfGFP fusion protein from the native locus. It was constructed by markerless allelic replacement using the thermoexcisable plasmid pMAD (53). SSB2048 was the parent strain for the construction of all other strains described below except SSB2066. Markerless allelic replacement with pMAD was also used to delete the yaaT, ylbF, and ymcA ORFs between the respective start and stop codons and to create the various single, double, and triple mutants. The different mutations were introduced into the wild-type strain SSB1002 and strain SSB2048. Mutants were verified by sequencing PCR fragments containing up- and downstream regions of the respective gene deletions. All B. subtilis strains are listed in Table 1. Strain 2066 expresses ΔTMD-RNase Y-sfGFP (lacking amino acids 2 to 24, starting with MR25K) from the native locus. It was constructed by markerless allelic replacement using the thermoexcisable plasmid pMAD (53). Construction of strains SSB2057 and SSB2058 will be described elsewhere. Briefly, both strains contain a xylose-inducible copy of the bacteriophage T7 RNA polymerase gene at the amyE locus and either the 5’ UTR (SAM riboswitch) of the yitJ gene under the control of the T7 polymerase promoter inserted into the replicative plasmid pDG148 (SSB2057) or the empty vector (SSB2058).
E. coli strains JM109 and XL1-Blue were used for plasmid construction. E. coli was grown at 37°C in LB medium and B. subtilis strains at 37°C in either LB medium or SMS defined medium (Spizizen, 1958) containing 25 mM (NH4)2SO4, 80 mM K2HPO4, 44 mM KH2PO4, 3 mM trisodium citrate, 0.8 mM MgSO4, fructose 0.75%, ferric ammonium citrate 22 mg/liter, l-glutamine 0.1%, and 0.2 mM l-tryptophan. For threonine auxotrophic strains, liquid and agar media were supplemented with 1 mM threonine. When required, threonine was added at 1 mM, as were the following antibiotics (concentrations): ampicillin (200 μg/ml) for E. coli; chloramphenicol (5 μg/ml), spectinomycin (100 μg/ml), erythromycin (1 μg/ml), lincomycin (12.5 μg/ml), neomycin (7 μg/ml), and tetracycline (10 μg/ml) for B. subtilis. Transcription from inducible Pxyl and Pspac promoters was induced by the addition of 60 mM xylose or 1 mM isopropyl-β-d-thiogalactopyranoside (IPTG), respectively. Transcription arrest was induced by addition of rifampin (150 μg/ml). X-gal (5-bromo-4-chloro-3-indolyl-beta-d-galactopyranoside) and methionine were added as required at 40 μg/ml and 2 mM, respectively.
Epifluorescence/phase-contrast microscopy.
Overnight cultures of relevant strains in LB or SMS medium were diluted to an optical density at 600 nm (OD600) of 0.05 and grown at 37°C in shaking flasks. Samples of 1 to 2 μl were taken in early exponential phase (OD600 of 0.2 to 0.4) or in early stationary phase (T2) and spotted on microscope slides coated with a thin 1% (wt/vol) agarose pad and topped with a coverslip. Samples were prepared and imaged at room temperature. Images were acquired with an AxioCam MRm camera (Zeiss) mounted on a Zeiss AxioImager M1 phase-contrast/fluorescence microscope. GFP fluorescent images were taken with a 63× air or a 100× oil objective with a numerical aperture (NA) of 1.3 using filter set 10 (Zeiss). GFP was excited at a wavelength of 450 to 490 nm, and the fluorescence was collected in the range of 515 to 565 nm.
TIRFm.
Images and time-lapse TIRFm movies were taken on at least two different days for each strain and condition. One microliter of culture spotted on a 1% agarose pad and topped by a cover slide and immersion oil was immediately mounted and analyzed in the temperature-controlled microscope stage at 37°C. Imaging was carried out on an inverted microscope Nikon Ti-E fitted with a 100× oil objective Apo TIRF (NA, 1.49; Nikon) with a diode-pumped solid-state laser (50 mW, 491 nm; Cobolt Calypso) or an iLas2 laser coupling system from Roper Scientific (150 mW, 488 nm). Conventional epifluorescence images were snapshotted with a phase-contrast and GFP fluorescence channel (with an excitation filter wavelength of 472/30 nm and emission filter wavelength of 520/35 nm). The exposure time was set up to 100 ms for 20 s or 30 s of imaging time in continuous illumination mode. All images and time-lapse streaming were collected with an EMCCD (electron-multiplying charge-coupled device) camera (iXON3 DU-897; Andor), with a gain defined at 300 attached to a ×2.5 magnification lens. Final pixel size was 64 nm. Image acquisition was controlled and processed with the Nikon NIS-Elements or Metamorph v.7 software packages. The angles of incidence of the laser beam and z-position were fixed individually for all channels to get an epifluorescence or TIRF illumination and to maintain the same depth of evanescent wave penetration as well as the focus position in all experiments.
Cell segmentation.
Single-cell analysis required the segmentation of bacteria observed by TIRF microscopy. For that purpose, bright-field images were captured at the same field of view and thresholded to provide binary masks revealing single cells as separate regions of interest (ROIs). Incomplete cells located on the edge of the image were removed from the analysis. The area of the segmented cells has been quantified as the product of the number of pixels of ROI and the pixel area in the image (64 by 64 nm2). Cell segmentation was performed using Fiji (54).
Detection and tracking of RNase Y foci.
Single-particle tracking (SPT) is an image analysis method to detect some labeled objects (and extract their spatial coordinates, x and y) and follow them over time (t) to get their trajectories (x, y, and t). Detection aims to segment and accurately localize objects in images by taking into account their main features (e.g., shape, size, intensity, signal-to-noise ratio, etc.). Trajectories (x, y, and t) are estimated by linking detected objects over time by considering their dynamic properties (maximal distance, diffusion coefficient, and reconnection after missed detection).
Trajectories were generated using the TrackMate (55) plugin in Fiji after a careful optimization of SPT parameters under various conditions. RNase Y, which mainly appears as diffraction-limited objects, was detected with the Laplacian of Gaussians (LoG) detector (estimated blob diameter, 0.3 μm; threshold, 200; perform subpixel localization, no median filter, and no filter on object identification). Tracks were generated using the Simple LAP Tracker, with a 0.3-μm linking max distance and no frame gaps allowed. Finally, tracks were exported into MATLAB for processing (density and intensity of RNase Y, dynamic classification, and quantification).
RNase Y focus density was calculated as the average number of foci detected over all frames in each single cell normalized by its area. Lastly, RNase Y intensity was quantified as the time average of local focus intensity (measured as the mean intensity in a 3- by 3-pixel area centered at detected foci).
Automatic dynamic classification of RNase Y foci.
RNase Y dynamics were categorized based on MSD analysis, as already described extensively (45) (see Materials and Methods and the supplemental material). Only trajectories with a minimal duration of ten consecutive frames (i.e., 1 s) were considered.
Each RNase Y focus detected was assigned to a class (directed, diffused, constrained, or unclassified) for all frames of its corresponding movie, allowing us to calculate mobile fractions per frame and, thus, to estimate averages at the single-cell level. Speed (ν) was quantified using a solely focus-exhibiting directed motion, and diffusion coefficient was extracted from random diffusion trajectories only.
We have analyzed around 1,000 cells of SSB2048 (with or without rifampin treatment), between 250 and 400 cells of the mutant strains (SSB2068, SSB2069, and SSB2070), and about 280 cells for SSB2075 under each condition (with or without rifampin). We analyzed between 170 and 250 cells for strains SSB2057 and SSB2058 under different conditions (with or without rifampin and with xylose and rifampin).
Statistical analysis.
GraphPad Prism, version 7.0, was used to carry out nonparametric statistical analysis and tests with two-tailed Mann-Whitney test with an alpha level of 5%.
ACKNOWLEDGMENTS
We thank Jacqueline Plumbridge for critical reading of the manuscript. We are grateful to Ruth Carballido-Lopez for discussion and access to the microscope facility.
This work was supported by funds from the CNRS (UMR8261), Université de Paris and the Agence Nationale de la Recherche (IB-mRND), and the “Initiative d’Excellence” program from the French State (grant DYNAMO, ANR-11-LABX-0011) provided funding. L.H. was partially financed by the Lebanese Council for Scientific Research (CNRS-L).
Footnotes
Citation Hamouche L, Billaudeau C, Rocca A, Chastanet A, Ngo S, Laalami S, Putzer H. 2020. Dynamic membrane localization of RNase Y in Bacillus subtilis. mBio 11:e03337-19. https://doi.org/10.1128/mBio.03337-19.
REFERENCES
- 1.Arraiano CM, Andrade JM, Domingues S, Guinote IB, Malecki M, Matos RG, Moreira RN, Pobre V, Reis FP, Saramago M, Silva IJ, Viegas SC. 2010. The critical role of RNA processing and degradation in the control of gene expression. FEMS Microbiol Rev 34:883–923. doi: 10.1111/j.1574-6976.2010.00242.x. [DOI] [PubMed] [Google Scholar]
- 2.Laalami S, Zig L, Putzer H. 2014. Initiation of mRNA decay in bacteria. Cell Mol Life Sci 71:1799–1828. doi: 10.1007/s00018-013-1472-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hui MP, Foley PL, Belasco JG. 2014. Messenger RNA degradation in bacterial cells. Annu Rev Genet 48:537–559. doi: 10.1146/annurev-genet-120213-092340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Mohanty BK, Kushner SR. 2016. Regulation of mRNA decay in bacteria. Annu Rev Microbiol 70:25–44. doi: 10.1146/annurev-micro-091014-104515. [DOI] [PubMed] [Google Scholar]
- 5.Battistuzzi FU, Feijao A, Hedges SB. 2004. A genomic timescale of prokaryote evolution: insights into the origin of methanogenesis, phototrophy, and the colonization of land. BMC Evol Biol 4:44. doi: 10.1186/1471-2148-4-44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Laalami S, Putzer H. 2011. mRNA degradation and maturation in prokaryotes: the global players. Biomol Concepts 2:491–506. doi: 10.1515/BMC.2011.042. [DOI] [PubMed] [Google Scholar]
- 7.Bayas CA, Wang J, Lee MK, Schrader JM, Shapiro L, Moerner WE. 2018. Spatial organization and dynamics of RNase E and ribosomes in Caulobacter crescentus. Proc Natl Acad Sci U S A 115:E3712–E3721. doi: 10.1073/pnas.1721648115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Al-Husini N, Tomares DT, Bitar O, Childers WS, Schrader JM. 2018. Alpha-proteobacterial RNA degradosomes assemble liquid-liquid phase-separated RNP bodies. Mol Cell 71:1027–1039. doi: 10.1016/j.molcel.2018.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Khemici V, Prados J, Linder P, Redder P. 2015. Decay-initiating endoribonucleolytic cleavage by RNase Y is kept under tight control via sequence preference and sub-cellular localisation. PLoS Genet 11:e1005577. doi: 10.1371/journal.pgen.1005577. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Strahl H, Turlan C, Khalid S, Bond PJ, Kebalo JM, Peyron P, Poljak L, Bouvier M, Hamoen L, Luisi BF, Carpousis AJ. 2015. Membrane recognition and dynamics of the RNA degradosome. PLoS Genet 11:e1004961. doi: 10.1371/journal.pgen.1004961. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hunt A, Rawlins JP, Thomaides HB, Errington J. 2006. Functional analysis of 11 putative essential genes in Bacillus subtilis. Microbiology 152:2895–2907. doi: 10.1099/mic.0.29152-0. [DOI] [PubMed] [Google Scholar]
- 12.Burmann F, Sawant P, Bramkamp M. 2012. Identification of interaction partners of the dynamin-like protein DynA from Bacillus subtilis. Commun Integr Biol 5:362–369. doi: 10.4161/cib.20215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lewis PJ, Thaker SD, Errington J. 2000. Compartmentalization of transcription and translation in Bacillus subtilis. EMBO J 19:710–718. doi: 10.1093/emboj/19.4.710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Mascarenhas J, Weber MH, Graumann PL. 2001. Specific polar localization of ribosomes in Bacillus subtilis depends on active transcription. EMBO Rep 2:685–689. doi: 10.1093/embo-reports/kve160. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Rudner DZ, Losick R. 2010. Protein subcellular localization in bacteria. Cold Spring Harb Perspect Biol 2:a000307. doi: 10.1101/cshperspect.a000307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Parsons JB, Frank S, Bhella D, Liang M, Prentice MB, Mulvihill DP, Warren MJ. 2010. Synthesis of empty bacterial microcompartments, directed organelle protein incorporation, and evidence of filament-associated organelle movement. Mol Cell 38:305–315. doi: 10.1016/j.molcel.2010.04.008. [DOI] [PubMed] [Google Scholar]
- 17.Shahbabian K, Jamalli A, Zig L, Putzer H. 2009. RNase Y, a novel endoribonuclease, initiates riboswitch turnover in Bacillus subtilis. EMBO J 28:3523–3533. doi: 10.1038/emboj.2009.283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lehnik-Habrink M, Schaffer M, Mäder U, Diethmaier C, Herzberg C, Stülke J. 2011. RNA processing in Bacillus subtilis: identification of targets of the essential RNase Y. Mol Microbiol 81:1459–1473. doi: 10.1111/j.1365-2958.2011.07777.x. [DOI] [PubMed] [Google Scholar]
- 19.Durand S, Gilet L, Bessieres P, Nicolas P, Condon C. 2012. Three essential ribonucleases-RNase Y, J1, and III-control the abundance of a majority of Bacillus subtilis mRNAs. PLoS Genet 8:e1002520. doi: 10.1371/journal.pgen.1002520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Laalami S, Bessieres P, Rocca A, Zig L, Nicolas P, Putzer H. 2013. Bacillus subtilis RNase Y activity in vivo analysed by tiling microarrays. PLoS One 8:e54062. doi: 10.1371/journal.pone.0054062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Chen Z, Itzek A, Malke H, Ferretti JJ, Kreth J. 2013. Multiple roles of RNase Y in Streptococcus pyogenes mRNA processing and degradation. J Bacteriol 195:2585–2594. doi: 10.1128/JB.00097-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Commichau FM, Rothe FM, Herzberg C, Wagner E, Hellwig D, Lehnik-Habrink M, Hammer E, Völker U, Stülke J. 2009. Novel activities of glycolytic enzymes in Bacillus subtilis: interactions with essential proteins involved in mRNA processing. Mol Cell Proteomics 8:1350–1360. doi: 10.1074/mcp.M800546-MCP200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lehnik-Habrink M, Pfortner H, Rempeters L, Pietack N, Herzberg C, Stülke J. 2010. The RNA degradosome in Bacillus subtilis: identification of CshA as the major RNA helicase in the multiprotein complex. Mol Microbiol 77:958–971. doi: 10.1111/j.1365-2958.2010.07264.x. [DOI] [PubMed] [Google Scholar]
- 24.Carpousis AJ, Van Houwe G, Ehretsmann C, Krisch HM. 1994. Copurification of E. coli RNAse E and PNPase: evidence for a specific association between two enzymes important in mRNA processing and degradaion. Cell 76:889–900. doi: 10.1016/0092-8674(94)90363-8. [DOI] [PubMed] [Google Scholar]
- 25.Py B, Causton H, Mudd EA, Higgins CF. 1994. A protein complex mediating mRNA degradation in Escherichia coli. Mol Microbiol 14:717–729. doi: 10.1111/j.1365-2958.1994.tb01309.x. [DOI] [PubMed] [Google Scholar]
- 26.Hardwick SW, Chan VS, Broadhurst RW, Luisi BF. 2011. An RNA degradosome assembly in Caulobacter crescentus. Nucleic Acids Res 39:1449–1459. doi: 10.1093/nar/gkq928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Newman JA, Hewitt L, Rodrigues C, Solovyova AS, Harwood CR, Lewis RJ. 2012. Dissection of the network of interactions that links RNA processing with glycolysis in the Bacillus subtilis degradosome. J Mol Biol 416:121–136. doi: 10.1016/j.jmb.2011.12.024. [DOI] [PubMed] [Google Scholar]
- 28.Cascante-Estepa N, Gunka K, Stülke J. 2016. Localization of components of the RNA-degrading machine in Bacillus subtilis. Front Microbiol 7:1492. doi: 10.3389/fmicb.2016.01492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Redder P. 5 January 2018. Molecular and genetic interactions of the RNA degradation machineries in Firmicute bacteria. Wiley Interdiscip Rev RNA doi: 10.1002/wrna.1460. [DOI] [PubMed] [Google Scholar]
- 30.DeLoughery A, Dengler V, Chai Y, Losick R. 2016. Biofilm formation by Bacillus subtilis requires an endoribonuclease-containing multisubunit complex that controls mRNA levels for the matrix gene repressor SinR. Mol Microbiol 99:425–437. doi: 10.1111/mmi.13240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Carabetta VJ, Tanner AW, Greco TM, Defrancesco M, Cristea IM, Dubnau D. 2013. A complex of YlbF, YmcA and YaaT regulates sporulation, competence and biofilm formation by accelerating the phosphorylation of Spo0A. Mol Microbiol 88:283–300. doi: 10.1111/mmi.12186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Adusei-Danso F, Khaja FT, DeSantis M, Jeffrey PD, Dubnau E, Demeler B, Neiditch MB, Dubnau D. 2019. Structure-function studies of the Bacillus subtilis Ric proteins identify the Fe-S cluster-ligating residues and their roles in development and RNA processing. mBio 10:e01841-19. doi: 10.1128/mBio.01841-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.DeLoughery A, Lalanne JB, Losick R, Li GW. 2018. Maturation of polycistronic mRNAs by the endoribonuclease RNase Y and its associated Y-complex in Bacillus subtilis. Proc Natl Acad Sci U S A 115:E5585–E5594. doi: 10.1073/pnas.1803283115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Tortosa P, Albano M, Dubnau D. 2000. Characterization of ylbF, a new gene involved in competence development and sporulation in Bacillus subtilis. Mol Microbiol 35:1110–1119. doi: 10.1046/j.1365-2958.2000.01779.x. [DOI] [PubMed] [Google Scholar]
- 35.Hosoya S, Asai K, Ogasawara N, Takeuchi M, Sato T. 2002. Mutation in yaaT leads to significant inhibition of phosphorelay during sporulation in Bacillus subtilis. J Bacteriol 184:5545–5553. doi: 10.1128/jb.184.20.5545-5553.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Branda SS, Gonzalez-Pastor JE, Dervyn E, Ehrlich SD, Losick R, Kolter R. 2004. Genes involved in formation of structured multicellular communities by Bacillus subtilis. J Bacteriol 186:3970–3979. doi: 10.1128/JB.186.12.3970-3979.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kearns DB, Chu F, Branda SS, Kolter R, Losick R. 2005. A master regulator for biofilm formation by Bacillus subtilis. Mol Microbiol 55:739–749. doi: 10.1111/j.1365-2958.2004.04440.x. [DOI] [PubMed] [Google Scholar]
- 38.Dubnau EJ, Carabetta VJ, Tanner AW, Miras M, Diethmaier C, Dubnau D. 2016. A protein complex supports the production of Spo0A-P and plays additional roles for biofilms and the K-state in Bacillus subtilis. Mol Microbiol 101:606–624. doi: 10.1111/mmi.13411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Tanner AW, Carabetta VJ, Martinie RJ, Mashruwala AA, Boyd JM, Krebs C, Dubnau D. 2017. The RicAFT (YmcA-YlbF-YaaT) complex carries two [4Fe-4S](2+) clusters and may respond to redox changes. Mol Microbiol 104:837–850. doi: 10.1111/mmi.13667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Yao Z, Carballido-López R. 2014. Fluorescence imaging for bacterial cell biology: from localization to dynamics, from ensembles to single molecules. Annu Rev Microbiol 68:459–476. doi: 10.1146/annurev-micro-091213-113034. [DOI] [PubMed] [Google Scholar]
- 41.Landgraf D, Okumus B, Chien P, Baker TA, Paulsson J. 2012. Segregation of molecules at cell division reveals native protein localization. Nat Methods 9:480–482. doi: 10.1038/nmeth.1955. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Billaudeau C, Yao Z, Cornilleau C, Carballido-López R, Chastanet A. 2019. MreB forms subdiffraction nanofilaments during active growth in Bacillus subtilis. mBio 10:e01879-18. doi: 10.1128/mBio.01879-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Pedelacq JD, Cabantous S, Tran T, Terwilliger TC, Waldo GS. 2006. Engineering and characterization of a superfolder green fluorescent protein. Nat Biotechnol 24:79–88. doi: 10.1038/nbt1172. [DOI] [PubMed] [Google Scholar]
- 44.Overkamp W, Beilharz K, Detert Oude Weme R, Solopova A, Karsens H, Kovacs A, Kok J, Kuipers OP, Veening JW. 2013. Benchmarking various green fluorescent protein variants in Bacillus subtilis, Streptococcus pneumoniae, and Lactococcus lactis for live cell imaging. Appl Environ Microbiol 79:6481–6490. doi: 10.1128/AEM.02033-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Billaudeau C, Chastanet A, Yao Z, Cornilleau C, Mirouze N, Fromion V, Carballido-López R. 2017. Contrasting mechanisms of growth in two model rod-shaped bacteria. Nat Commun 8:15370. doi: 10.1038/ncomms15370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Dajkovic A, Hinde E, MacKichan C, Carballido-Lopez R. 2016. Dynamic organization of SecA and SecY secretion complexes in the B. subtilis membrane. PLoS One 11:e0157899. doi: 10.1371/journal.pone.0157899. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lehnik-Habrink M, Newman J, Rothe FM, Solovyova AS, Rodrigues C, Herzberg C, Commichau FM, Lewis RJ, Stülke J. 2011. RNase Y in Bacillus subtilis: a natively disordered protein that is the functional equivalent of RNase E from Escherichia coli. J Bacteriol 193:5431–5441. doi: 10.1128/JB.05500-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Hardouin P, Velours C, Bou-Nader C, Assrir N, Laalami S, Putzer H, Durand D, Golinelli-Pimpaneau B. 2018. Dissociation of the dimer of the intrinsically disordered domain of RNase Y upon antibody binding. Biophys J 115:2102–2113. doi: 10.1016/j.bpj.2018.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Uversky VN. 2011. Multitude of binding modes attainable by intrinsically disordered proteins: a portrait gallery of disorder-based complexes. Chem Soc Rev 40:1623–1634. doi: 10.1039/c0cs00057d. [DOI] [PubMed] [Google Scholar]
- 50.Horinouchi S, Weisblum B. 1982. Nucleotide sequence and functional map of pC194, a plasmid that specifies inducible chloramphenicol resistance. J Bacteriol 150:815–825. doi: 10.1128/JB.150.2.815-825.1982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Hamze K, Julkowska D, Autret S, Hinc K, Nagorska K, Sekowska A, Holland IB, Seror SJ. 2009. Identification of genes required for different stages of dendritic swarming in Bacillus subtilis, with a novel role for phrC. Microbiology 155:398–412. doi: 10.1099/mic.0.021477-0. [DOI] [PubMed] [Google Scholar]
- 52.Lewis PJ, Marston AL. 1999. GFP vectors for controlled expression and dual labelling of protein fusions in Bacillus subtilis. Gene 227:101–110. doi: 10.1016/s0378-1119(98)00580-0. [DOI] [PubMed] [Google Scholar]
- 53.Arnaud M, Chastanet A, Debarbouille M. 2004. New vector for efficient allelic replacement in naturally nontransformable, low-GC-content, gram-positive bacteria. Appl Environ Microbiol 70:6887–6891. doi: 10.1128/AEM.70.11.6887-6891.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. 2012. Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Tinevez JY, Perry N, Schindelin J, Hoopes GM, Reynolds GD, Laplantine E, Bednarek SY, Shorte SL, Eliceiri KW. 2017. TrackMate: an open and extensible platform for single-particle tracking. Methods 115:80–90. doi: 10.1016/j.ymeth.2016.09.016. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.