Tracking transcription factor mobility and interaction in Arabidopsis roots with fluorescence correlation spectroscopy

  1. Natalie M Clark
  2. Elizabeth Hinde
  3. Cara M Winter
  4. Adam P Fisher
  5. Giuseppe Crosti
  6. Ikram Blilou
  7. Enrico Gratton
  8. Philip N Benfey  Is a corresponding author
  9. Rosangela Sozzani  Is a corresponding author
  1. North Carolina State University, United States
  2. University of California, Irvine, United States
  3. Howard Hughes Medical Institute, Duke University, United States
  4. Wageningen University, Netherlands
5 figures, 2 tables and 4 additional files

Figures

Figure 1 with 1 supplement
Diffusion coefficients obtained by performing RICS on SHR:SHR-GFP in shr2.

(a) Schematic showing image acquisition and RICS analysis. (Left) A time series of 100 frames (time points) acquired using predetermined imaging parameters (Table 1). (Middle) Autocorrelation function (ACF) calculated from the time series. Red represents a high ACF value, blue represents a low ACF value. (Right) Fit of the ACF to a Gaussian diffusion model to calculate the diffusion coefficient. (bd) Representative images of SHR:SHR-GFP in shr2 taken in regions containing the vasculature and endodermis (b), endodermis only (c), vasculature and QC (d). Cell walls are marked in red using propidium iodide (PI). Below each image is its ACF fit using the Gaussian model and the calculated diffusion coefficient for that representative image. (d) 128x128 pixel region of interest (ROI) used for RICS (white frame). (e) Bar graph showing average diffusion coefficients of 35S:GFP (n 34), SHR:SHR-GFP in shr2 (n 40) for vasculature and endodermis, n 19 for endodermis, n = 20 for vasculature and QC) and SHR:SHR-GFP in SCRi (vasculature and endodermis, n 14). Groups that have different symbols are significantly different from each other and from the 35S:GFP line (Wilcoxon with Steel-Dwass, p<0.05). Error bars are s.e.m. Source data is provided in Figure 1—source data 14 .

https://doi.org/10.7554/eLife.14770.003
Figure 1—source data 1

Diffusion coefficient of 35S:GFP line obtained using RICS with the Zeiss 780 and Zeiss 710 instruments.

https://doi.org/10.7554/eLife.14770.004
Figure 1—source data 2

Diffusion coefficient of SHR:SHR--GFP in shr2 line obtained using RICS with the Zeiss 780 and Zeiss 710 instruments.

https://doi.org/10.7554/eLife.14770.005
Figure 1—source data 3

Diffusion coefficient of SHR:SHR--GFP in SCRi line obtained using RICS with the Zeiss 780 instrument.

https://doi.org/10.7554/eLife.14770.006
Figure 1—source data 4

Statistical analysis of diffusion coefficients obtained by RICS.

https://doi.org/10.7554/eLife.14770.007
Figure 1—figure supplement 1
RICS analysis on the 35S:GFP line.

(a) Region of interest of 35S:GFP in vasculature cells. (b) Autocorrelation function (ACF) calculated using RICS. Red represents a high ACF value, blue represents a low ACF value. (c) Fit of diffusion model and calculation of diffusion coefficient from the ACF. Residuals of fit are shown at top of graph.

https://doi.org/10.7554/eLife.14770.008
Figure 2 with 1 supplement
Pair correlation function (pCF) analysis showing direction of SHR movement.

(a) Schematic of image acquisition and pCF analysis. (Left) Line scans acquired using predetermined imaging conditions (Table 1). Carpets of the forward (middle) and reverse (right) pCF analysis. The orange arch indicates delayed movement, while the absence of an arch (green lines) indicates no movement. (b) pCF analysis of SHR:SHR-GFP in shr2. Cell walls are marked with PI. Lines indicate the laser path going across the vasculature, endodermis, and cortex. pCF carpets for each direction are shown. Orange arches indicate movement. (c) pCF analysis of SHR:SHR-GFP in SCRi. Cell walls are marked with PI. Lines indicate the laser path across the vasculature, endodermis, the extra layer, and the cortex. pCF carpets for each direction are shown. Orange arches indicate movement. (d) Bar graph showing average movement index of 35S:GFP (n = 15), TMO5:3xGFP (n = 19), SCR:SCR-GFP (n = 14), SHR:SHR-GFP in shr2 (n = 20) between vasculature and endodermis, n = 22 between endodermis and cortex), and SHR:SHR-GFP in SCRi (n = 14 between vasculature and endodermis, n = 17 between endodermis and cortex). Stars denote groups that are different from TMO5:3xGFP, crosses indicate groups that are different from 35S:GFP (Wilcoxon with Steel-Dwass, p<0.05). Error bars are s.e.m. Source data is provided in Figure 2—source data 1 and 2.

https://doi.org/10.7554/eLife.14770.010
Figure 2—source data 1

pCF of 35S:GFP, TMO5:3xGFP, SCR:SCR-GFP, SHR:SHR-GFP in shr2, and SHR:SHR-GFP in SCRi lines.

https://doi.org/10.7554/eLife.14770.011
Figure 2—source data 2

Statistical analysis of movement index obtained by pCF.

https://doi.org/10.7554/eLife.14770.012
Figure 2—figure supplement 1
Pair correlation function analysis of 35S:GFP, SCR:SCR-GFP, and TMO5:3xGFP.

(a) pCF analysis of 35S:GFP in vasculature cells. Cell walls are marked with PI. Orange arches indicate movement. (b) pCF analysis of TMO5:3xGFP in vasculature cells. Cell walls are marked with PI. Green lines indicate no movement. (c) pCF analysis of SCR:SCR-GFP in endodermal and cortical cells. Cell walls are marked with PI. Orange arches indicate movement. Green lines indicate no movement.

https://doi.org/10.7554/eLife.14770.013
N&B analysis of the SHR oligomeric state.

(a) Schematic of image acquisition and N&B analysis. (Left) Image acquisition for N&B is the same as for RICS analysis. (Middle) The mean and variance of intensity used to calculate the brightness and number of particles. (Right) The background brightness (red) set to 1 by adjusting the S-factor (Table 2). The monomer (blue) positioned at the predetermined brightness of monomeric GFP (Table 2). Homodimer (green) particles shown to be twice as bright as the monomer. (b, c, d) 35S:GFP used to determine the molecular brightness of monomeric GFP (b, e, h) Region of interest selected for N&B analysis of 35S:GFP, SHR:SHR-GFP in shr2, and SHR:SHR-GFP in SCRi. Cell walls are marked with PI. Note that the extra layer in (h) is a result of the SCRi background. (c, f, i) Brightness vs intensity for 35S:GFP, SHR:SHR-GFP in shr2, and SHR:SHR-GFP in SCRi. The red, blue, green boxes indicate the autofluorescence (B = 1), monomer (B = ε = 0.28 ± 0.01) and homodimer (B = 2*ε), respectively. (d, g, j) Color-coding of the brightness for 35S:GFP, SHR:SHR-GFP in shr2, and SHR:SHR-GFP in SCRi. Red, blue, and green represent background (autofluorescence), monomer, and homodimer, respectively. (k) Bar graph showing average percent of SHR homodimer for SHR:SHR-GFP in vascular cells (n = 40), SHR:SHR-GFP in endodermal cells (n = 19), and SHR:SHR-GFP in SCRi (n = 14). Error bars are s.e.m. Star denotes sample that is significantly different from the other two (Wilcoxon with Steel-Dwass, p<0.05). Source data is provided in Figure 3—source data 13.

https://doi.org/10.7554/eLife.14770.014
Figure 3—source data 1

Oligomeric state of SHR:SHR--GFP in shr2 line obtained using N&B with the Zeiss 780 and Zeiss 710 instruments.

https://doi.org/10.7554/eLife.14770.015
Figure 3—source data 2

Oligomeric state of SHR:SHR--GFP in SCRi line obtained using N&B with the Zeiss 780 instrument.

https://doi.org/10.7554/eLife.14770.016
Figure 3—source data 3

Statistical analysis of the oligomeric state of SHR collected using N&B.

https://doi.org/10.7554/eLife.14770.017
Figure 4 with 2 supplements
Cross-N&B analysis of a SHR/SCR double-tagged line.

(a) Schematic of cross N&B analysis. (Left) A double-tagged line used for imaging. The B1 (GFP brightness) vs B2 (mCherry brightness) graph is used to select the region for cross-correlation. (Middle) The brightness cross-correlation (Bcc) used to determine GFP pixels that cross-correlate with mCherry pixels. (Right) Stoichiometry plot that displays the protein complexes detected in the image. (b) Expression of SHR:SHR-GFP/SCR:SCR-mCherry marker line in root endodermis. (c) Bcc vs B1 graph for SHR. The blue and green boxes represent the SHR monomer and homodimer, respectively, that form a complex with SCR. (d) Color-coding of the cross brightness of the SHR:SHR-GFP/SCR:SCR-mCherry line. Blue represents SHR monomer binding SCR monomer, while green represents SHR homodimer binding SCR monomer. (e) Stoichiometry histogram from cross N&B analysis. The orange line at (1,1) represents a high proportion of monomeric SHR bound to monomeric SCR (84.77% ± 1.58%), while the green line at (2,1) represents a lower proportion of homodimeric SHR bound to monomeric SCR (15.23% ± 1.58%). (f) Bar graph showing average percentages of the 1:1 and 2:1 SHR-SCR complex (n = 17). Error bars are s.e.m. Source data is provided in Figure 4—source data 1 and 2.

https://doi.org/10.7554/eLife.14770.022
Figure 4—source data 1

Oligomeric state of SCR:SCR-GFP and SCR:SCR-mCherry lines obtained using N&B with the Zeiss 780 instrument.

https://doi.org/10.7554/eLife.14770.023
Figure 4—source data 2

Stoichiometry of the SHR:SHR-GFP/SCR:SCR-mCherry complex obtained using cross N&B with the Zeiss 780 instrument.

https://doi.org/10.7554/eLife.14770.024
Figure 4—figure supplement 1
Longitudinal confocal root sections of SHR:SHR-GFP/SCR:SCR-mCherry line.

Inset: Red (SCR:SCR-mCherry), green (SHR:SHR-GFP), BF, and merged channels.

https://doi.org/10.7554/eLife.14770.025
Figure 4—figure supplement 2
N&B analysis of UBQ10 and SCR oligomeric state.

(a, d, g) Region of interest of UBQ10:mCherry, SCR:SCR-mCherry, and SCR:SCR-GFP in the root. Both SCR:SCR-mCherry (d) and SCR:SCR-GFP (g) are shown in the endodermis. (b, e, h) (b, e, h) Brightness (B) vs intensity graphs for UBQ10:mCherry, SCR:SCR-mCherry, and SCR:SCR-GFP. The red, blue, and green boxes indicate the autofluorescence (B=1), monomer (B1 = ε1 = 0.28 ± 0.01 for GFP; B2 = ε2 = 0.34 ± 0.02 for mCherry) and homodimer (B1 = 2*monomeric B1 for GFP; B2 = 2*monomeric B2 for mCherry) (Table 2). (c, f, i) Color-coding of the distribution of the brightness of UBQ10:mCherry, SCR:SCR-mCherry, and SCR:SCR-GFP. Red, blue, and green represent autofluorescence, monomer, and homodimer respectively.

https://doi.org/10.7554/eLife.14770.026
Figure 5 with 2 supplements
Mathematical model simulations of SHR and SCR illustrate how reduction of SCR affects the formation of SHR homodimer and SHR-SCR complex.

(a, b, c) Model simulations of wild type showing how (a) SCR and the 1:1 SHR-SCR complex greatly increase in the first 3 hr, (b) SHR homodimer and the 2:1 SHR-SCR complex do not form until around 9 hr, (c) the entire system reaches a steady state between 18–24 hr. (d) Model simulations of SCR RNAi showing a reduction in SHR homodimer, SCR, 1:1 SHR-SCR complex, and 2:1 SHR-SCR complex levels after 24 hr. The model outcomes show SHR in the vasculature (black), SHR monomer in the endodermis (solid blue), SHR homodimer (dashed blue), SCR (red), 1:1 SHR-SCR complex (solid green), and 2:1 SHR-SCR complex (dashed green). Parameter values and initial conditions are given in Supplementary file 3. Source data is provided in Figure 5—source data 1 and 2.

https://doi.org/10.7554/eLife.14770.027
Figure 5—source data 1

Sobol total effects indices computed for SHR-SCR mathematical model.

https://doi.org/10.7554/eLife.14770.028
Figure 5—source data 2

Area measurements of vascular and endodermal cells.

https://doi.org/10.7554/eLife.14770.029
Figure 5—figure supplement 1
Sensitivity analysis of mathematical model of SHR and SCR.

Bar graphs showing average Sobol total indices (n = 10) for SHR in vasculature (a), SHR monomer in endodermis (b), SHR homodimer (c), SCR (d), 1:1 SHR-SCR complex (e), and 2:1 SHR-SCR complex (f). Indices were normalized to mean 0, variance 1 before averaging. Bars represent s.e.m. Stars denote parameters that have significantly higher total effects indices (Wilcoxon with Steel-Dwass, p<0.10). Source data is provided in Figure 5—source data 1.

https://doi.org/10.7554/eLife.14770.030
Figure 5—figure supplement 2
Functional form of k2 parameter in mathematical model.

kis the rate of SHR homodimer formation and depends on the concentration of SCR. Once SCR passes a critical value (C0 = 360), SHR homodimer formation switches on. The homodimer formation rate has a maximum value of L = 0.5.

https://doi.org/10.7554/eLife.14770.031

Tables

Table 1

Recommended imaging conditions for RICS and N&B.

https://doi.org/10.7554/eLife.14770.009
MethodPixel size (μm)Pixel dwell time (μs)Line scan time (ms)Number of framesImage sizeLaser intensityGain
RICS0.05 to 0.112.61 or 25.217.56 or 15.1350 to 100256x2561.0% to 4.0%800 to 1000
N&B0.112.61 or 25.217.56 or 15.1350 to 100256x2561.0% to 12%800 to 1000
Table 2

N and B parameters for SimFCS software analysis. SEM is given.

https://doi.org/10.7554/eLife.14770.018
Confocal model and objectiveS-factor (green channel)S-factor (red channel)Monomer brightness (green channel) (counts/pixel dwell/molecule)Monomer brightness (red channel) (counts/pixel dwell/molecule)Cursor size
LSM 780, 40 x 1.2 NA water1.34 ± 0.02 (= 17)1.00 ± 0.01 (n = 24)0.28 ± 0.01 (= 13)0.34 ± 0.02 (n = 7)42 ± 0.69 (= 13)
LSM 710, 40 x 1.2 NA and 63 x 1.2 NA water0.92 ± 0.004 (n = 20)N/A*0.24 ± 0.01 (= 20)N/A*50 (= 20)
Source data is provided in Figure 2—source data 1 (Monomer brightness for green channel and cursor size); Table 2—source data 2 (S-factor, green channel); and Table 2—source data 3 (Monomer brightness and S-factor, red channel)
*Red channel data was not collected on the LSM 710
Table 2—source data 1

Monomeric brightness of 35S:GFP line obtained using N&B with the Zeiss 780 and Zeiss 710 instruments.

https://doi.org/10.7554/eLife.14770.019
Table 2—source data 2

S-factor of the 35S:GFP background line obtained using N&B with the Zeiss 780 and Zeiss 710 instruments.

https://doi.org/10.7554/eLife.14770.020
Table 2—source data 3

S-factor of the UBQ10:mCherry background line and monomeric brightness of UBQ10:mCherry line obtained using N&B with the Zeiss 780 instrument.

https://doi.org/10.7554/eLife.14770.021

Additional files

Supplementary file 1

Results of shapiro-wilk goodness of fit (GoF) test on RICS and N&B data.

https://doi.org/10.7554/eLife.14770.032
Supplementary file 2

PSF beam waist values.

https://doi.org/10.7554/eLife.14770.033
Supplementary file 3

Parameter values used for mathematical modeling.

https://doi.org/10.7554/eLife.14770.034
Supplementary file 4

MATLAB code used to compute the Sobol total effects index.

https://doi.org/10.7554/eLife.14770.035

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  1. Natalie M Clark
  2. Elizabeth Hinde
  3. Cara M Winter
  4. Adam P Fisher
  5. Giuseppe Crosti
  6. Ikram Blilou
  7. Enrico Gratton
  8. Philip N Benfey
  9. Rosangela Sozzani
(2016)
Tracking transcription factor mobility and interaction in Arabidopsis roots with fluorescence correlation spectroscopy
eLife 5:e14770.
https://doi.org/10.7554/eLife.14770