Escherichia coli swimming is robust against variations in flagellar number

  1. Patrick J Mears
  2. Santosh Koirala
  3. Chris V Rao
  4. Ido Golding  Is a corresponding author
  5. Yann R Chemla  Is a corresponding author
  1. University of Illinois at Urbana-Champaign, United States
  2. Baylor College of Medicine, United States
4 figures, 2 videos and 4 tables

Figures

Figure 1 with 5 supplements
Wild-type E. coli cells deviate from the ‘veto’ model.

(A) The mapping relating the run/tumble state of the cell to the CCW/CW state of its flagella according to the veto model. Schematic time trace from a cell with 3 flagella, showing CW (purple) and CCW (white) intervals for each flagellar motor and the resulting tumbles (black) and runs (white) of the cell. The veto model corresponds to an AND gate, by which cell runs only occur when all flagella rotate CCW (where CCW = 1, CW = 0, run = 1, and tumble = 0). (B) Schematic of a cell held by two optical traps (red cones) in the fluorescence excitation volume (green) within the sample chamber. (C) Representative data trace from a trapped cell with three flagella. Still images of fluorescently labeled flagella at 0.5-s intervals (top). The approximate location of the unlabeled cell body is indicated by a dashed yellow line. Flagella rotating CW (purple) and CCW (white) are numbered in frames in which they appear distinct. Corresponding cell-body rotation signal for the same cell (red line, bottom) as detected from deflections of the trapping laser. Tumbles (shaded area) were determined from the erratic cell-body rotation signal. (D) Long-term time trace of CCW/CW flagellar rotation state and run/tumble cell swimming state. CW intervals (purple, top) for each flagellum were determined from the fluorescence images. Tumbles (black, bottom) were determined from the cell-body rotation signal. (E) Mean deviation η from the veto model vs number of flagella per cell. Wild-type cells (solid black circles) with multiple flagella deviate significantly from the model (p=0.0003, N = 69 cells). CheY* cells (open gray circles; N = 46 cells) match the model (p=0.77). Error bars denote SEM. See ‘Materials and methods’ for more details.

https://doi.org/10.7554/eLife.01916.003
Figure 1—figure supplement 1
Distribution of flagellar number.

Top, fluorescently-labeled flagella on trapped E. coli cells. Images show cells with 1, 2, 3, 4, and 6 flagella (left to right). The image contrast was adjusted to make flagella more visible (see ‘Materials and methods’ for details on the labeling, imaging and image processing protocols). Middle, transmission electron microscopy (TEM) images of cells possessing 1, 2, 3, 4 and 7 flagella (left to right). The images were enhanced to make flagella more visible (see ‘Materials and methods’ for details of the imaging and image processing). Bottom, distributions of the number of flagella per cell. Cells with zero flagella were excluded because non-swimming cells were not trapped. The distributions from trapped cells (blue, N = 86 cells) and TEM (red, N = 56 cells) have very similar means. Error bars denote SEM.

https://doi.org/10.7554/eLife.01916.004
Figure 1—figure supplement 2
Instrument layout.

Layout of the combined optical trap/epi-fluorescence microscope, showing the 1064-nm trapping laser beam (red), 532-nm fluorescence excitation laser beam (green), fluorescence emission path (yellow), objectives (01 and 02), quadrant photodiode (QPD), and fluorescence imaging, charge-coupled device camera (EMCCD). To the right is a schematic of a cell held by two optical traps (red cones) in the fluorescence excitation volume (green) within the sample chamber.

https://doi.org/10.7554/eLife.01916.005
Figure 1—figure supplement 3
Laser temporal interlacing scheme.

Schematic of the temporal interlacing of the trapping laser (red), excitation laser (green) and camera exposure (black). The 1064-nm trapping laser alternates with the 532-nm fluorescence excitation laser, such that they are never on at the same time. The camera exposure (30-μs exposure) is synchronized with the fluorescence excitation laser for stroboscopic imaging. Lower panel shows the interlacing over a longer time scale. The fluorescence excitation pulse and camera exposure occur once every 10 ms to create movies at 100 fps. See ‘Materials and methods’ for additional details.

https://doi.org/10.7554/eLife.01916.006
Figure 1—figure supplement 4
Sample data from representative cells.

Typical data from trapped cells with different numbers of flagella. A few still images (out of hundreds for each sample) of the fluorescently labeled flagella at different time points are shown. In the panels below, colors indicate the swimming state as runs/tumbles (white/black) and flagella waveforms as ‘normal’/‘semi-coiled’/‘curly-1’/‘semi-coiled’ or ‘curly-1’ (white/red/blue/purple). Light colors indicate periods when the flagellum was transitioning between two different waveforms. Light blue indicates a transition between normal and semi-coiled, light red indicates a transition between normal and curly-1. Samples A and B are wild-type cells, samples C–E are CheY* cells.

https://doi.org/10.7554/eLife.01916.007
Figure 1—figure supplement 5
Cells with flagella in the curly-1 state rarely run.

Top, the fraction of time that cells spent running vs the number of flagella that were in the curly-1 waveform (while all other flagella were in the normal waveform). When all flagella were in the normal waveform, cells ran 91% of the time. When the waveform of a single flagellum was curly-1, and the rest were normal, cells ran 18% of the time. Bottom, mean deviation from veto model, η, vs number of flagella per cell. Same as Figure 1E, with an additional theoretical model in which cells run 18% of the time when the waveform of a single flagellum is curly-1 (magenta). Error bars denote SEM.

https://doi.org/10.7554/eLife.01916.008
Figure 2 with 2 supplements
Tumbles in wild-type cells involve multiple CW flagella.

(A) A typical time trace from a wild-type cell with 3 flagella. Colors indicate runs/tumbles (white/black, top) and CCW/CW (white/purple, middle). The blue line (bottom) shows the corresponding number of CW flagella at each time point. (B) Same as (A) for a typical CheY* cell with 3 flagella. (C) Mean of the maximum number of CW flagella during a tumble vs number of flagella per cell. Consistently more flagella are CW during tumbles in the wild-type (black circles; N = 61 cells) compared to the CheY* strain (open gray circles; N = 24 cells). Simulations incorporating fluctuations in CheY-P (black line) and without fluctuations (gray dashed lines) reproduce the observed trends (simulations detailed in the text and Figure 4). (D) Cross-correlation between flagella pairs, averaged over all pairs and all cells. Wild-type (black circles) match simulations with fluctuations in CheY-P (black line). CheY* strain (open gray circles) matches simulations without fluctuations in CheY-P (gray dashed line), which exhibit almost no correlation. Error bars denote SEM. See ‘Materials and methods’ for more details.

https://doi.org/10.7554/eLife.01916.011
Figure 2—figure supplement 1
Flagellar transition rates vs number of flagella per cell.

Flagella motor transition rates, separated into two groups corresponding to cells with a single flagellum (red) and cells with multiple flagella (blue). All data from wild-type cells (N = 52 cells). Error bars denote SEM.

https://doi.org/10.7554/eLife.01916.012
Figure 2—figure supplement 2
Flagellar transition rates vs number of flagella per cell.

Transitions between the three observed flagella waveforms (normal, semi-coiled and curly-1), separated into two groups corresponding to cells with a single flagellum (red) and cells with multiple flagella (blue). All data from wild-type cells (N = 52 cells). Error bars denote SEM.

https://doi.org/10.7554/eLife.01916.013
Figure 3 with 1 supplement
Wild-type behavior matches the veto model for cells with a lower effective number of flagella.

(A) Tumble bias vs CW bias for individual wild-type cells (N = 69), plotted separately for different numbers of flagella per cell (Nflag = 1, purple; 2, blue; 3, green; 4, red; 5, cyan). The prediction from the veto model in Equation (1) (dashed lines) does not match the data for cells with multiple flagella (R2 = 0.88, 0.60, 0.41, 0.39 for Nflag = 2, 3, 4, 5). The data were fit (solid lines) to Equation (1), while allowing the number of flagella to be used as a fitting parameter, Neff. Error bars denote SD. (B) Same as (A) for CheY* (open circles, same color code as [A] N = 46 cells). The veto model prediction (dashed lines) matches the data well (R2 = 0.91, 0.97, 0.93, 0.67, 0.98 for Nflag = 1, 2, 3, 4, 5). Fits (solid lines) yield Neff values almost identical to Nflag. (C) Fitted Neff values vs number of flagella per cell for wild-type (black circles) and CheY* (open gray circles) cells. Simulations (described in the text) reproduce the observed trends. (D) Data points from individual wild-type (solid circles) and CheY* (open circles) cells all collapse onto a single line when using Neff from fits to wild-type data in (A) and the actual flagellar number Nflag for CheY* cells in (B). Error bars denote SEM. See ‘Materials and methods’ for more details.

https://doi.org/10.7554/eLife.01916.016
Figure 3—figure supplement 1
Fit to Neff vs Nflag.

Data points show fitted Neff values vs number of flagella per cell for wild-type cells as in Figure 3C. The data was fit empirically to a power law (red line) given by Neff = 1.27 × Nflag0.5.

https://doi.org/10.7554/eLife.01916.017
Figure 4 with 4 supplements
A theoretical model incorporating CheY-P fluctuations reproduces wild-type data.

(A) Simulated time trace for a wild-type cell. Representative simulated time trace of CheY-P concentration (gray line, top), CW bias (red), run/tumble state (white/black), CCW/CW flagellar rotational direction (white/purple) and number of CW flagella (blue line, bottom) for a cell with 3 flagella. CheY-P simulation parameters are described in the text and in Table 3. (B) Same as (A) from a simulated CheY* cell, in which CheY-P concentration (gray line) does not fluctuate. (C) Deviation from veto model. The theoretical model that includes CheY-P concentration fluctuations (black line) reproduces the wild-type data (black circles). A simple veto model with constant CheY-P concentration (gray dashed line) reproduces the CheY* data (open gray circles). Error bars denote SEM. See ‘Materials and methods’ for more details.

https://doi.org/10.7554/eLife.01916.018
Figure 4—figure supplement 1
Flagellar waveform transition rates.

Diagram of the transitions rates between different flagellar waveforms: normal (CCW), semi-coiled and curly-1 (both CW). Data from wild-type cells (N = 52 cells, 203 tumbles). Values are mean ± SEM. Arrow thickness is proportional to the transition rate.

https://doi.org/10.7554/eLife.01916.019
Figure 4—figure supplement 2
Flagellar waveform transition sequences.

Histogram of the sequence of flagellar waveforms when flagella motor rotation switches from CW to CCW (N = normal, S = semi-coiled, C = curly-1). Note that prior to CW rotation all flagella had the normal waveform. The majority of CCW-to-CW switches caused flagella to transition to the semi-coiled waveform (77%, 164/213 of all flagellar switching events). Of those flagella, most remained semi-coiled until the motor returned to CCW (71%, 117/164), while some instead transitioned to the curly-1 waveform (29%, 47/164). Some fraction of flagella (22%, 47/213) also skipped the semi-coiled waveform altogether and transitioned immediately from CCW to curly-1. Those flagella never switch to the semi-coiled state.

https://doi.org/10.7554/eLife.01916.020
Figure 4—figure supplement 3
Flagellar waveform transition sequences.

Decision tree showing the probability of each sequence of flagellar waveforms when flagella switch from CCW to CW rotation (N = normal, S = semi-coiled, C = curly-1). Arrow thickness is proportional to the probability of a specific transition.

https://doi.org/10.7554/eLife.01916.021
Figure 4—figure supplement 4
Tumble bias vs number of flagella per cell.

Mean tumble bias of wild-type cells vs number of flagella per cell. Data were filtered to exclude outliers with a CW bias outside the range of 0–0.25 (N = 61 cells remaining). Gray line shows the mean tumble bias from all cells. Error bars denote SEM.

https://doi.org/10.7554/eLife.01916.022

Videos

Video 1
Video of trapped wild-type cell with three labeled flagella as it runs and tumbles.

Slow motion video of the wild-type cell in Figure 1C with three long, fluorescently labeled flagella. The approximate location of the unlabeled cell body is indicated by the dotted line. The trap signal used to determine runs and tumbles (bottom, scrolling blue curve) measures the position of the cell body in the trap as it rotates. At the beginning of the video (time stamp = 2.4 s), all three flagella are in a bundle and the cell is running. One by one, the flagella switch to CW rotation (2.7–3.0 s), which disrupts the bundle and causes the cell to tumble. Flagella can be observed in all three waveforms, normal, semi-coiled, and curly-1. Near the end of the video, the flagella all return to CCW rotation and coalesce into a bundle, causing the cell to resume running (3.4 s). In addition to the three long flagella, a short flagellar stub is visible. The stub does not affect the swimming behavior and is not analyzed. Scale bar in bottom left corner is 1 µm. Frames were recorded at 400 frames per second, video shows every other frame at 20 frames per second.

https://doi.org/10.7554/eLife.01916.010
Video 2
Video of trapped CheY* cell with two labeled flagella as it runs and tumbles.

Slow motion video, similar to Video 1, of a trapped CheY* cell with two fluorescently labeled flagella. Still images from this cell are shown in Figure 1—figure supplement 4, sample D. The approximate location of the unlabeled cell body is indicated by the dotted line. At the beginning of the video (time stamp = 7.4 s), both flagella are in a bundle, rotating CCW in the normal waveform, and the cell is running. At 7.6 s, one flagellum switches to CW rotation and transitions to the semi-coiled waveform, which disrupts the bundle and causes the cell to tumble. At the 8.5 s, the semi-coiled flagellum returns to CCW rotation and both flagella coalesce into a bundle, causing the cell to resume running. Scale bar in bottom left corner is 1 µm. Frames were recorded at 100 frames per second, video plays at 20 frames per second.

https://doi.org/10.7554/eLife.01916.015

Tables

Table 1

Strains and plasmids used in this work

https://doi.org/10.7554/eLife.01916.009
StrainGenotypeCommentsSource
HCB1660fliC::Tn5 (KanR)‘wild type’ Contains plasmid pBAD33-fliCS219C(Turner et al., 2010) Gift of H Berg
PM87cheBYZ::FRT, fliC::Tn5 (KanR)‘CheY*’ Contains plasmids pMS164 and pPM5This study
RP437Wild-type for chemotaxis(Parkinson and Houts, 1982)
SK109cheBYZ::CmThis study
SK110cheBYZ::FRTThis study
SK112cheBYZ::FRT, fliC::Tn5 (KanR)This study
Plasmids
 pBAD33 fliCS219CfliCS219C under ParaBAD promoter, CmR, p15a originExpresses mutant version of FliC for fluorescent labeling(Turner et al., 2010) Gift of H Berg
 pPM5fliCS219C under ParaBAD promoter, AmpR, colE1 originExpresses mutant version of FliC for fluorescent labelingThis study
 pMS164cheYD13K under PlacOP promoter, CmR, pSC101 originExpresses constitutively active version of CheY(Alon et al., 1998) Gift of P Cluzel
 pDK46Helper plasmid(Datsenko and Wanner, 2000)
 pKD3Template for CmR cassette(Datsenko and Wanner, 2000)
 pCP20Helper plasmid(Cherepanov and Wackernagel, 1995)
Table 2

Primers used in this work

https://doi.org/10.7554/eLife.01916.014
PrimerSequenceComments
SK140FTGCGTGGTCAGACGGTGTATGCGCTAAGTAAGGATTAACG GTGTAGGCTGGAGCTGCTTCcheBYZ deletion forward
SK140RGCCTGATATGACGTGGTCACGCCACATCAGGCAATACAAA CATATGAATATCCTCCTTAGcheBYZ deletion reverse
SK141FCCTTAAACCCGACGGATTGCcheBYZ deletion check forward
SK141RTTGCTGCCACACATCAAGCcheBYZ deletion check reverse
SK163FAGGGTTATTGTCTCATGAGCpZE11 sequencing forward
SK163RGTTTTATTTGATGCCTCTAGpZE11 sequencing reverse
PM7FGGG GACGTC ATCGATGCATAATGTGCCTGamplify ParaBAD fliCS219C forward
PM7RGGG GTCGAC TTAACCCTGCAGCamplify ParaBAD fliCS219C reverse
Table 3

Model parameters

https://doi.org/10.7554/eLife.01916.023
ParameterDescriptionValueSource
kccw->cwMotor switching rate from CCW→CW0.26 s−1Our data
kcw->ccwMotor switching rate from CW→CCW1.7 s−1Our data
CBAverage clock-wise bias of wild-type motors0.13Our data
<Y>Mean concentration of CheY-P2.59 µMFit to our data
ωCharacteristic motor switching time0.5 sOur data
λ−1Transition rate from semi-coiled to curly-1 state0.68 s−1Our data
xFrom the model in Sneddon et al.; number of flagella that must be normal for a run to occur (while other flagella are curly-1) (Sneddon et al., 2012)Nflag (variable in Figure 1—figure supplement 5)Our data
σ2Variance in [CheY-P]1.0 µM2Fit to our data
τCharacteristic time-scale of fluctuations in [CheY-P]0.2 sFit to our data
KdMidpoint of CW bias vs CheY-P response curve3.1 µM(Cluzel et al., 2000)
HHill coefficient for CW bias vs CheY-P response curve10.3(Cluzel et al., 2000)
dtSimulation time steps0.001 s
  1. Note: ωCBkccwcw

Table 4

Flagella waveform transition rates

https://doi.org/10.7554/eLife.01916.024
InitialFinal
NormalSemi-coiledCurly-1
Normal0.28 ± 0.03 s−10.08 ± 0.01 s−1
Semi-coiled1.6 ± 0.2 s−10.54 ± 0.08 s−1
Curly-11.8 ± 0.2 s−10.04 ± 0.02 s−1
  1. Transition rates between different flagellar waveforms: normal (CCW), semi-coiled and curly-1 (both CW). Data from wild-type cells (N = 52 cells, 203 tumbles). Values are mean ± SEM.

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  1. Patrick J Mears
  2. Santosh Koirala
  3. Chris V Rao
  4. Ido Golding
  5. Yann R Chemla
(2014)
Escherichia coli swimming is robust against variations in flagellar number
eLife 3:e01916.
https://doi.org/10.7554/eLife.01916