Biomolecular interactions modulate macromolecular structure and dynamics in atomistic model of a bacterial cytoplasm

  1. Isseki Yu
  2. Takaharu Mori
  3. Tadashi Ando
  4. Ryuhei Harada
  5. Jaewoon Jung
  6. Yuji Sugita  Is a corresponding author
  7. Michael Feig  Is a corresponding author
  1. RIKEN, Japan
  2. RIKEN Quantitative Biology Center, Japan
  3. RIKEN Advanced Institute for Computational Science, Japan
  4. Michigan State University, United States
6 figures, 4 videos, 3 tables and 1 additional file

Figures

Figure 1 with 3 supplements
Molecular model of a bacterial cytoplasm.

(A) Schematic illustration of Mycoplasma genitalium (MG). (B) Equilibrated MGh system highlighted with proteins, tRNA, GroEL, and ribosomes. (C) MGh cl ose-up showing atomistic level of detail. See …

https://doi.org/10.7554/eLife.19274.003
Figure 1—figure supplement 1
Macromolecular components.

Structures of macromolecular complexes colored by residues index with tag, Stokes radius, and name.

https://doi.org/10.7554/eLife.19274.004
Figure 1—figure supplement 2
Structure of metabolites in MGh.

For each metabolite, the abbreviation used in the text and its full name are given. Phosphates are highlighted in red.

https://doi.org/10.7554/eLife.19274.005
Figure 1—figure supplement 3
Initial configurations of simulated systems.

Initial simulation boxes with colors indicating different macromolecular types.

https://doi.org/10.7554/eLife.19274.006
Figure 2 with 3 supplements
Conformational stability of macromolecules in crowded and dilute environments.

(A) Time-averaged RMSDs (from starting structures) and radii of gyration (Rg) for selected macromolecules in MGm1(red), in dilute solution with only counterions (blue) and with KCl excess salt …

https://doi.org/10.7554/eLife.19274.009
Figure 2—figure supplement 1
Time series of structural stability measures for selected macromolecules.

Root mean square deviations (RMSD) relative to initial structures based on Cα or P atoms of core structures as explained in Analysis Details (A); and radii of gyration based on all Cα or P atoms (Rg;…

https://doi.org/10.7554/eLife.19274.010
Figure 2—figure supplement 2
Influence of local crowding environment on the structure of PDHA in MGm1.

(A) Denatured (green) conformation of one of the 39 copies of PDHA (denoted as PDHA*) due to contacts with other cytoplasmic proteins (PYK (red), PGK (gray), ENO (orange), PTA (black), and METK …

https://doi.org/10.7554/eLife.19274.011
Figure 2—figure supplement 3
Influence of metabolite binding and local crowding environment on the structure of PGK in MGm1.

(A) Atoms in two ligand binding sites (yellow and green licorice) of one of the 18 copies of PGK (denoted as PGK*) (gray tube) in the MGm1 system. The distance between the center of mass for Cα

https://doi.org/10.7554/eLife.19274.012
Figure 3 with 1 supplement
Association of metabolic proteins in crowded environments.

(A) Intermolecular distance changes between initial and final time (ΔdAB) for pairs of glycolytic enzymes, other regular proteins, RNAs, and ribosomes/GroEL (huge). (B) Solvation free energies ΔGsol

https://doi.org/10.7554/eLife.19274.015
Figure 3—figure supplement 1
Influence of large macromolecules on the association of small proteins.

(AD) Two-component mixtures of small Lennard-Jones particles ‘A’ (2 Å, white) in the presence of same size particles ‘B’ (LJ_AB) or in the presence of larger particles ‘C’ (3.509 Å, LJ_AC) or ‘D’ …

https://doi.org/10.7554/eLife.19274.016
Figure 4 with 2 supplements
Translational diffusion of macromolecules in MGm1 slows down as a function of Stokes radius and is dependent on local crowding.

(A) Translational diffusion coefficients (Dtr) of macromolecules in MGm1 vs. Stokes radii (Rs) from MD, and SD compared with experimental data for green fluorescent protein (GFP) and GFP-attached …

https://doi.org/10.7554/eLife.19274.017
Figure 4—figure supplement 1
Dependency of translational diffusion coefficient Dtr on the maximum observation time τmax.

Dtr for macromolecules ATRN, PDHA, PDHD and PGK (see Figure 1—figure supplement 1 for abbreviations) and metabolites NAD, COA, ATP, VAL, GLN, G1P, ETOH, and ACE (see Figure 1—figure supplement 2 for …

https://doi.org/10.7554/eLife.19274.018
Figure 4—figure supplement 2
Influence of local crowding environment on Dtr.

Dtr for macromolecules PGK, PDHA, PDHD, NOX, ENO, ACKA, and ATRN in MGm1 as a function of coordination number of crowder Cα atoms Nc. For each type of macromolecule, Dtr and Nc at given time windows …

https://doi.org/10.7554/eLife.19274.019
Figure 5 with 1 supplement
Rotational diffusion of macromolecules.

(A) Averaged angular velocity (ω) of macromolecules in MGm1 as a function of their Stokes radii (Rs) (gray squares with IF1, ATRN, PDHD, PDHA, and PGK highlighted in purple, red, blue, yellow, and …

https://doi.org/10.7554/eLife.19274.021
Figure 5—figure supplement 1
Influence of local crowding environment on angular velocity ω.

Averaged angular velocities ω for macromolecules PGK, PDHA, PDHD, NOX, ENO, ACKA, and ATRN in MGm1 as a function of coordinate number of crowder Cα atoms Nc. Normalized angular velocities ω¯ as a …

https://doi.org/10.7554/eLife.19274.022
Figure 6 with 1 supplement
Metabolites in cytoplasmic environments interact extensively with macromolecules resulting in significantly reduced diffusion.

(A) Translational diffusion coefficients (Dtr) for metabolites in MGm1 as a function of molecular weight (phosphates: diamond; amino acids: triangles; others: circles; color reflects charge). For …

https://doi.org/10.7554/eLife.19274.024
Figure 6—figure supplement 1
ATP distribution in cytoplasmic environments.

(A) Schematic representation of theoretically accessible volume, V(r), in crowded environments. The large square box represents the size of the periodic system. The yellow objects represent …

https://doi.org/10.7554/eLife.19274.025

Videos

Video 1
Nanosecond dynamics of the MGm1 system in atomistic detail.

Macromolecules are shown with both cartoon and lines. Metabolites and ions are shown with stick or sphere. Macromolecules in back ground are shown with surface representation.

https://doi.org/10.7554/eLife.19274.008
Video 2
Conformational dynamics highlighting partial denaturation of one copy of PDHA (green, tube) due to interactions with proteins in the vicinity.
https://doi.org/10.7554/eLife.19274.014
Video 3
Diffusive motion of macromolecules during the last 130 ns of the MGm1 system.

Macromolecules are shown with surface representation. Ribosomes and GroELs are colored violet and yellow respectively. Other groups of molecules are colored differently for each individual …

https://doi.org/10.7554/eLife.19274.020
Video 4
Diffusive motion of metabolites during the last 130 ns of the MGm1 system.

Macromolecules are shown with surface representation. Metabolites and ions are shown with van der Waals spheres. Phosphates, amino acids, ions, and other metabolites are highlighted with red, green, …

https://doi.org/10.7554/eLife.19274.026

Tables

Table 1

Simulated cytoplasmic systems.

https://doi.org/10.7554/eLife.19274.007

System

MGh

MGm1

MGm2

MGcg

Cubic box length (nm)

99.8

48.2

48.2

106.2

Program

GENESIS

GENESIS

NAMD

GENESIS

Simulation time

20 ns

140 ns

60 ns

10 × 20 μs

number of molecules

Ribosomes

31

3

3

24

GroELs

20

3

3

24

Proteins

1238

182

133

1927

RNAs

284

28

44

298

Metabolites

41,006

5.005

5.072

Ions

214,000

23,049

27,415

Waters

26,263,505

2,944,143

2,893,830

Total # of atoms

103,708,785

11,737,298

11,706,962

  1. See also Figure 1—figure supplement 3 showing initial configurations and supplementary material with lists of the individual molecular components.

Table 2

Simulated single protein reference systems.

https://doi.org/10.7554/eLife.19274.013

System

Cubic box [nm]

# of waters

# of ions

# of metabolites

# of atoms

Simulation time* [ns]

PGK_w

9.89

30,787

Cl: 8

0

98,886

4 × 140

PGK_i

9.87

30,374

K+: 217, Cl: 225

0

98,081

4 × 140

PDHA_w

9.90

31,032

Na+: 7

0

98,779

2 × 140

PDHA_i

9.98

30,627

K+: 224, Cl: 217

0

97,998

2 × 140

IF1_w

9.92

32,785

Cl-: 4

0

99,535

2 × 140

IF1_i

9.90

32,312

K+: 233, Cl: 237

0

98,582

2 × 140

NOX_w

9.89

30,473

Cl: 3

0

98,708

2 × 140

NOX_i

9.87

30,007

K+: 222, Cl: 225

0

97,754

2 × 140

ENO_w

9.85

28,050

Na+: 2

0

98,330

2 × 140

ENO_i

9.84

27,648

K+: 203, Cl: 201

0

97,526

2 × 140

ATRN_i

9.88

31,734

K+: 231, Cl: 156

0

98,032

2 × 140

ACKA_m

14.71

102,379

K+: 231, Cl: 156

168

325,691

2 × 510

  1. *The first 10 ns of each trajectory was discarded as equilibration.

Table 3

Diffusion of water and ions. Translational diffusion constants [Å2/ps] in the cytoplasm (Mgm1) and dilute solvent (simulation of PGK in excess salt matching cytoplasmic concentration).

https://doi.org/10.7554/eLife.19274.023

Cytoplasm

Dilute solvent

τmax 1.0 (ns)

τmax 10 (ns)

τmax 1.0 (ns)

τmax 10 (ns)

water

0.32

0.29

0.42

0.41

K+

0.079

0.068

0.22

0.21

Na+

0.017

0.015

N/A

N/A

Cl

0.17

0.14

0.22

0.21

Mg2+

0.0073

0.0051

N/A

N/A

Additional files

Supplementary file 1

Detailed lists of system components.

List of Macromolecules. Copy numbers for each macromolecule (represented by tag name) in four simulation systems. The Stokes radius Rs is given in the last column. Groups and types of metabolites. Net charge and number of copies for each metabolite (represented by tag name) in three simulation systems. Phosphates are highlighted with a pink background.

https://doi.org/10.7554/eLife.19274.027

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