Highlights
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A reverse genetics approach determines genes required for normal cell division
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Normal cell division requires genes of known and unknown function
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JCVI-syn3A offers a genomically minimal model for bacterial physiology
Summary
Graphical abstract
Keywords
Introduction
Results
Dynamic propagation of genomically minimized cells
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Video S1. Growth of JCVI-syn1.0 in microfluidic chemostats, related to Figure 1E
Cells were submicrometer and largely disconnected from one another. Top panel: Phase contrast. Bottom panel: Constitutively expressed mCherry, as a marker for cytoplasmic protein. Scale bar: 5 μm.
Morphological diversity from a single minimized genomic segment
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Video S2. Growth of RGD6, including a long filamentous cell, related to Figure 3A
A single RGD6 grew into a filament in the absence of shear flow, due to morphological dynamics intrinsic to the cell. Vesicles lacking constitutively expressed mCherry initiated at the ends of the filament and increased in size. Top panel: Phase contrast. Bottom panel: Constitutively expressed mCherry as a marker for cytoplasmic protein. Scale bar: 5 μm.
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Video S3. Growth of JCVI-syn3.0, related to Figure 3B
Some cells were several micrometers in diameter or had irregular shapes, including filamentous cellular forms. Individual cells exhibited dynamic morphological transitions resulting from processes intrinsic to the cells. Top panel: Phase contrast. Bottom panel: Constitutively expressed mCherry as a marker for cytoplasmic protein. Scale bar: 5 μm.
Genomic restoration of normal morphology in a nearly minimal cell
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Video S4. Growth of JCVI-syn3A, related to Figure 4F
JCVI-syn3A is a nearly minimal cell with 19 more genes than JCVI-syn3.0 and exhibits a nearly normal morphology similar to JCVI-syn1.0. Scale bar: 5 μm.
Discussion
Morphological dynamics intrinsic to cells revealed by microfluidic chemostats
Systematic approach attributes morphology to genes of unknown function
Requirement for FtsZ for normal cell division depends on genomic context
Minimal cells highlight membrane biophysics in cell division
Conclusions
Limitations of study
STAR★Methods
Key resources table
REAGENT or RESOURCE | SOURCE | IDENTIFIER |
---|---|---|
Bacterial and virus strains | ||
JCVI-syn1.0 |
Gibson et al., 2010
|
GenBank: CP002027 |
JCVI-syn3.0 |
Hutchison et al., 2016
|
GenBank: CP014940.1 |
RGD1-8 |
Hutchison et al., 2016
|
N/A |
JCVI-syn3A | This study;
Breuer et al., 2019
|
GenBank: CP016816.2 |
JCVI-syn3.0+1 | This study | N/A |
JCVI-syn3.0+126 | This study | N/A |
JCVI-syn3A ΔCluster1 | This study | N/A |
JCVI-syn1.0+mCherry | This study | N/A |
JCVI-syn3.0+mCherry | This study | N/A |
RGD6+mCherry | This study | N/A |
JCVI-syn3.0+12345678 | This study | N/A |
JCVI-syn3.0+124678 | This study | N/A |
JCVI-syn3.0+1267 | This study | N/A |
JCVI-syn3.0+1 | This study | N/A |
JCVI-syn3.0+2 | This study | N/A |
JCVI-syn3.0+6 | This study | N/A |
JCVI-syn3.0+267 | This study | N/A |
JCVI-syn3.0+167 | This study | N/A |
JCVI-syn3.0+127 | This study | N/A |
JCVI-syn3.0+126 Δ602 | This study | N/A |
JCVI-syn3.0+126 Δ604 | This study | N/A |
JCVI-syn3.0+126 Δ605 | This study | N/A |
JCVI-syn3.0+126 Δ602 Δ604 | This study | N/A |
JCVI-syn3.0+126 Δ604 Δ605 | This study | N/A |
JCVI-syn3.0+126 Δ602 Δ605 | This study | N/A |
JCVI-syn3.0+126 Δ521 Δ522 | This study | N/A |
JCVI-syn3.0+126 Δ520 Δ522 | This study | N/A |
JCVI-syn3.0+126 Δ520 | This study | N/A |
JCVI-syn3.0+126 Δ521 | This study | N/A |
JCVI-syn3.0+126 Δ522 | This study | N/A |
JCVI-syn3.0+126 Δ520 Δ521 | This study | N/A |
JCVI-syn3A ΔCluster2 | This study | N/A |
JCVI-syn3A ΔCluster3 | This study | N/A |
JCVI-syn3A ΔCluster4 | This study | N/A |
JCVI-syn3A ΔCluster5 | This study | N/A |
JCVI-syn3A ΔCluster6 | This study | N/A |
JCVI-syn3A ΔCluster7 | This study | N/A |
JCVI-syn3A ΔCluster8 | This study | N/A |
DH5alpha competent E. coli (High efficiency) | New England Biolabs | Cat#C2987H |
ElectroMAX Stbl4 competent E. coli | Thermo Fisher Scientific | Cat#11635018 |
Chemicals, peptides, and recombinant proteins | ||
Tetracycline | Sigma-Aldrich | Cat#87128 |
Puromycin | Sigma-Aldrich | Cat#P8833 |
Ampicillin | Sigma-Aldrich | Cat#A9393 |
Chloramphenicol | Sigma-Aldrich | Cat#C0378 |
Sodium cacodylate | Sigma-Aldrich | Cat#C0250 |
Osmium tetroxide | Sigma-Aldrich | Cat#201030 |
Polydimethylsiloxane | Sylgard | Cat#184 |
Poly-L-lysine-g-polyethylene glycol | SuSoS | PLL(20)-g[3.5]-PEG(5) |
Phenol red | Sigma-Aldrich | Cat#P5530 |
Hoechst 33258 | Thermo Fisher Scientific | Cat#H1398 |
SP-DiOC18(3) | Thermo Fisher Scientific | Cat#D7778 |
Polyethylene glycol 6000 | Sigma-Aldrich | Cat#528877 |
Tn5 transposase | ABP Biosciences | Cat#TN501 |
Zymolyase-20T solution | USBiological | Cat#37340-57-1 |
Turbo DNase | Thermo Fisher Scientific | Cat#AM2239 |
Acid-Phenol:Chloroform | Thermo Fisher Scientific | Cat#AM9720 |
Critical commercial assays | ||
PrimeSTAR Max DNA Polymerase | Takara | Cat#R045B |
DNA Clean & Concentrator Kit | Zymo Research | Cat#D4013 |
Taq 2X Master Mix | New England Biolabs | Cat#M0270L |
QIAprep Spin Miniprep Kit | QIAGEN | Cat#27106 |
QIAGEN Multiplex PCR Kit | QIAGEN | Cat#206145 |
Q5 High-Fidelity 2X Master Mix | New England Biolabs | Cat#M0492L |
T7 RiboMAX Express Large Scale RNA Production System | Promega Corporation | Cat#P1320 |
Qubit RNA HS Assay Kit | Thermo Fisher Scientific | Cat#Q32852 |
Deposited data | ||
JCVI-syn1.0 |
Gibson et al., 2010
|
GenBank: CP002027 |
JCVI-syn3.0 |
Hutchison et al., 2016
|
GenBank: CP014940.1 |
JCVI-syn3A |
Breuer et al., 2019
|
GenBank: CP016816.2 |
Experimental models: organisms/strains | ||
S. cerevisiae VL6_48N_cas9 | Daniel Gibson (Codex DNA, Inc.) | N/A |
Oligonucleotides | ||
For PCR primers, see Table S1 | Integrated DNA Technologies | N/A |
Recombinant DNA | ||
Pmod2-loxpurolox-sp-cre |
Hutchison et al., 2016
|
GenBank: MN982903.1 |
pTF20 |
Dybvig et al., 2008
|
N/A |
pLS-Tn5-Puro |
Karas et al., 2014
|
N/A |
Pmod2-MCS | Epicenter | Cat#TNP10622 |
PCC1BAC_trp | Billyana Tsvetanova (SGI-DNA, Inc.) | GenBank: MN982904 |
PRS316 bearing ura3 marker | ATCC | Cat#77145 |
Plasmids developed in this study in Table S1 | This study | N/A |
Software and algorithms | ||
Empirical gradient threshold (EGT) |
Chalfoun et al., 2015
; Mendeley Data: https://doi.org/10.17632/rwg6sdz4rf.1 |
https://isg.nist.gov/deepzoomweb/resources/csmet/pages/EGT_segmentation/EGT_segmentation.html |
MATLAB | MathWorks | https://www.mathworks.com/products/matlab.html |
WordPerfect macros |
Hutchison et al., 2016
|
http://www.wordperfect.com/en/ |
QIAGEN CLC Genomics Workbench | QIAGEN | https://digitalinsights.qiagen.com/products-overview/discovery-insights-portfolio/analysis-and-visualization/qiagen-clc-genomics-workbench/ |
Resource availability
Lead contact
Materials availability
Data and code availability
Experimental model and subject details
Bacterial strains and growth media
Method details
Microscopy of bulk cultures
Scanning electron imaging
Microfluidic platform fabrication
Microfluidic cell culture and imaging
Genome synthesis and assembly
Construction of genomes by combining segments
Gene additions to JCVI-syn3.0
Transformation of JCVI-syn3.0 using plasmids
Construction of plasmids
Construction of plasmid Pmod2-loxpurolox-sp-cre_520-522 (cluster 1)
Construction of plasmid Pmod2-loxpurolox-sp-cre_602-605 (cluster 6)
Construction of plasmid Pmod2-loxpurolox-sp-cre_538+546-549+592-593+622-623 (clusters 3+4+5+8)
Construction of plasmid Pmod2-loxpurolox-sp-cre_546-549+622-623 (clusters 4+8)
Confirmation of sequences in transformants
Construction of mCherry plasmid
Insertion of mCherry into genomes
Insertion of mCherry into the JCVI-syn1.0 and RGD6 genomes
Insertion of mCherry into the JCVI-syn3.0 genome
Construction of JCVI-syn3.0+12345678
Construction of JCVI-syn3.0+124678
Editing mycoplasmal chromosomes in yeast
Insertion of bacterial genomes into yeast
Yeast assembly of plasmids
Yeast assembly of Pmod2-hisarscen-610_520-522_602-605 (clusters 1+6+7)
Yeast assembly of Pmod2-hisarscen-527_538_546-549_592-593_622-623 (clusters 2+3+4+5+8)
Guide RNA production and quantification
CRISPR donor DNA preparation
CRISPR donor DNA preparation for yeast strain VL6_48N_cas9_JCVI-syn3.0+1267
CRISPR donor DNA preparation for yeast strain VL6_48N_cas9_JCVI-syn3.0+2
CRISPR donor DNA preparation for yeast strain VL6_48N_cas9_JCVI-syn3.0+234578
Yeast transformation and screening
Genome transplantation
Gene removal from bacterial genomes in yeast
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VL6_48N_cas9_syn3AΔ527 with gene 527 deleted from JCVI-syn3A
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VL6_48N_cas9_syn3AΔ538 with gene 538 deleted from JCVI-syn3A
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VL6_48N_cas9_syn3AΔ546-549 with gene 546-549 deleted from JCVI-syn3A
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VL6_48N_cas9_syn3AΔ592-593 with gene 592-593 deleted from JCVI-syn3A
- •
VL6_48N_cas9_syn3AΔ602-605 with gene 602-605 deleted from JCVI-syn3A
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VL6_48N_cas9_syn3AΔ610 with gene 610 deleted from JCVI-syn3A
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VL6_48N_cas9_syn3AΔ622-623 with gene 622-623 deleted from JCVI-syn3A
Deletion of one gene cluster from JCVI-syn3.0+1267
Deletion of genes from JCVI-syn3.0+126 using CRISPR/Cas9
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JCVI-syn3.0+527+520-522+602-605Δ602
- •
JCVI-syn3.0+527+520-522+602-605Δ602-604
- •
JCVI-syn3.0+527+520-522+602-605Δ604-605
- •
JCVI-syn3.0+527+520-522+602-605Δ522
- •
JCVI-syn3.0+527+520-522+602-605Δ520-521
- •
JCVI-syn3.0+527+520-522+602-605Δ521-522
Quantification and statistical analysis
Empirical gradient thresholding to estimate cell size distributions
Acknowledgments
Author contributions
Declaration of interests
Supplemental information
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Table S1. Strains, primers, amplicons, and morphologies, related to STAR Methods
(Tab 1) Overview of genomically minimized strains and derivatives. (Tab 2) Primers used in this study for genome integrity analysis and junction primers. (Tab 3) Expected sizes of amplicons using junction primers. (Tab 4) Strains constructed to determine genes required for normal morphology.
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