Structural basis for the inhibition of RecBCD by Gam and its synergistic antibacterial effect with quinolones
Abstract
Our previous paper (Wilkinson et al, 2016) used high-resolution cryo-electron microscopy to solve the structure of the Escherichia coli RecBCD complex, which acts in both the repair of double-stranded DNA breaks and the degradation of bacteriophage DNA. To counteract the latter activity, bacteriophage λ encodes a small protein inhibitor called Gam that binds to RecBCD and inactivates the complex. Here, we show that Gam inhibits RecBCD by competing at the DNA-binding site. The interaction surface is extensive and involves molecular mimicry of the DNA substrate. We also show that expression of Gam in E. coli or Klebsiella pneumoniae increases sensitivity to fluoroquinolones; antibacterials that kill cells by inhibiting topoisomerases and inducing double-stranded DNA breaks. Furthermore, fluoroquinolone-resistance in K. pneumoniae clinical isolates is reversed by expression of Gam. Together, our data explain the synthetic lethality observed between topoisomerase-induced DNA breaks and the RecBCD gene products, suggesting a new co-antibacterial strategy.
https://doi.org/10.7554/eLife.22963.001Introduction
In bacterial cells, the related AddAB and RecBCD enzymes are helicase-nuclease complexes responsible for initiating homologous recombination from double-stranded DNA breaks (DSBs). This activity underpins many key DNA transactions including DSB repair, phage restriction, and conjugal or transductional recombination (Dillingham and Kowalczykowski, 2008; Wigley, 2013).
Several observations suggest that selective inhibition of AddAB/RecBCD could be useful in biotechnology and medical applications. For example, they are important for the infectivity and pathogenicity of bacteria that need to resist oxidative and nitrosative attack from neutrophils and macrophages (Amundsen et al., 2008; Darrigo et al., 2016; Amundsen et al., 2009; Cano et al., 2002). They protect cells from antibacterials that cause DSBs, such as ciprofloxacin, because they afford a basal level of protection against such damage (Amundsen et al., 2009; Henderson and Kreuzer, 2015; González-Soltero et al., 2015; Tamae et al., 2008; McDaniel et al., 1978). Moreover, the repair of such DSBs stimulates mutagenesis and recombination via both SOS-dependent and –independent mechanisms which may enhance the acquisition of antibacterial resistance (López et al., 2007; Cirz et al., 2005). Finally, RecBCD activity interferes with RecET- and Redαβ-mediated ‘recombineering’, and so efficient bacterial genome engineering may require a recBC genetic background (Court et al., 2002; Datta et al., 2008; Zhang et al., 1998; Muyrers et al., 1999).
Many phage-encoded proteins manipulate host cell metabolism in order to promote phage replication and lysis (Liu et al., 2004). For example, phage λ Gam is a potent inhibitor of the Escherichia coli RecBCD complex that helps to protect the phage DNA from degradation (Sakaki et al., 1973; Murphy, 1991). In this work, we present the structure of Gam bound to RecBCD unveiling an inhibition mechanism based on protein mimicry of a DSB. We also show that E. coli and Klebsiella pneumoniae cells expressing Gam are hypersensitive to ciprofloxacin. Moreover, inhibition of RecBCD can restore susceptibility to laboratory-selected mutants and clinical isolates of K. pneumoniae that are fluoroquinolone resistant. More generally, we argue that the study of other phage-encoded DNA mimics will help to identify novel antibiotic targets and new mechanisms for target inhibition.
Results
Gam interacts with the DNA-binding site of RecBCD
The Gam protein exists in two isoforms called GamL and GamS which differ in length (Sakaki et al., 1973). Previous work has shown that GamS inhibits RecBCD by competing with DNA binding (Court et al., 2007; Murphy, 2007). The structure we present here, of the GamS dimer complexed with RecBCD, was determined by cryo-electron microscopy at 3.8 Å resolution (Figure 1, Figure 1—source data 1, Figure 1—figure supplements 1 and 2, Video 1). It reveals that the GamS protein does indeed act as a steric block to the binding of DNA (Figure 1). The interaction with the duplex DNA-binding ‘arm’ of the RecB subunit is extensive and overlaps completely with that of the duplex DNA binding site (Figure 1 and Video 2). Furthermore, one of the long N-terminal helical extensions of GamS inserts deeply into RecBCD. It occupies a channel that normally accommodates the nascent 3’-ssDNA tail bound to the RecB helicase subunit, increasing the extent of the steric block (Figure 1). Although the structure of the RecBCD complex is closest to that of the initiation complex (Singleton et al., 2004) it responds to the binding of Gam by small changes in conformation. The 2B and C-terminal domains of the RecC subunit together with the 2B domain of RecB move as a unit away from the RecB helicase domains. The RecD subunit is also much more flexible.
-
Figure 1—source data 1
- https://doi.org/10.7554/eLife.22963.003
The crystal structure of the GamS protein alone (Court et al., 2007) revealed a pattern of negative charges on the surface that mimicked a DNA duplex, suggesting that molecular mimicry might be involved in binding. Consistent with this idea, a series of acidic side chains on Gam are located in positions equivalent to the phosphates of the DNA backbone and interact with many of the same residues on the RecBCD surface (Figure 2 and Figure 2—figure supplement 1). However, the interaction of RecBCD with GamS is much more extensive than with duplex DNA (Figure 2A and B). The interactions of the N-terminal helix with the ssDNA channel are less similar to those involved in ssDNA binding although there is some conservation of hydrophobic contacts across the site (Figure 2C and D and Figure 2—figure supplement 2). Instead, the main component of the interaction is simply a steric block; the helix makes a snug fit in the channel involving many more contacts than the equivalent contacts with ssDNA (Video 3). Overall, the interaction surface involves many contacts and covers approximately 2500 Å2 which explains why the interaction between the proteins is so tight (Court et al., 2007; Murphy, 2007).
Escherichia coli cells expressing Gam are hypersensitive to ciprofloxacin
Quinolone antibacterials target DNA gyrase and topoisomerase IV and kill cells by stabilising covalent topoisomerase-DNA adducts to produce DSBs. Based on the sensitivity of recBC cells to quinolones (Henderson and Kreuzer, 2015; González-Soltero et al., 2015; Tamae et al., 2008; McDaniel et al., 1978) and the well-characterised role of RecBCD in the repair of DSBs (Dillingham and Kowalczykowski, 2008), we hypothesised that expression of Gam would potentiate the killing effects of ciprofloxacin. To test this hypothesis, we engineered pBAD plasmids to express the two isoforms of Gam (GamL and GamS) from an arabinose-inducible promoter. In the absence of ciprofloxacin, expression of Gam had no apparent effect on the viability of E. coli MG1655 (Figure 3—figure supplement 1). We next compared the ciprofloxacin minimum inhibitory concentration (MIC) against E. coli cells either expressing Gam or containing an empty vector construct. In broth culture, expression of either GamS or GamL reduced the MIC by approximately four-fold compared to the control, and equivalent results were obtained using spot tests on agar plates (Figure 3A and Figure 3—figure supplement 1). The MIC potentiation effect was dependent on arabinose (Figure 3—figure supplement 1) and specific for quinolone-induced DSBs; equivalent experiments measuring the MIC for ampicillin showed no effect of Gam (data not shown). These experiments demonstrate, at the biochemical level, the synthetic lethality observed between topoisomerase malfunction and RecBCD in gene knockout studies (Tamae et al., 2008).
Inhibition of DSB repair reverses fluoroquinolone resistance in K. pneumoniae, including clinical isolates
K. pneumoniae is an important opportunistic human pathogen that causes a variety of infections and is of increasing concern due to the recent emergence of antibiotic resistant and hypervirulent strains (Paczosa and Mecsas, 2016). To test whether Gam expression increased the susceptibility of wild type K. pneumoniae to fluoroquinolones, we used disc susceptibility testing to four different fluoroquinolones. These are standardised assays based on inhibition zone diameter values defined by the CLSI (CLSI, 2015) which classify bacterial strains as either resistant, or not resistant, to fluoroquinolones based on the expected efficacy of the drug in a clinical context. Five strains were used: the wild-type strain Ecl8, two laboratory-selected Ecl8 mutant derivatives having sequentially reduced ciprofloxacin susceptibility, and two K. pneumoniae clinical isolates. Ecl8, and the single-step reduced susceptibility mutant Ecl8-CIP-M1 are not clinically resistant to any of the four test fluoroquinolones regardless of Gam expression, although cells containing the phage protein are significantly more susceptible (i.e. the inhibition zone diameters are greater in all cases) confirming fluoroquinolone potentiation by Gam in this species (Figure 3B and Table 1). The two-step mutant ECl8-CIP-M2 and clinical isolate R16 are classified as clinically resistant to all four test fluoroquinolones; isolate R20 is resistant to three of them. In all cases, expression of GamL increases fluoroquinolone susceptibility to a level that reverses clinical resistance. Whilst GamS generally had a smaller effect than GamL, it still reversed resistance in all but the least susceptible clinical isolate, R16 (Table 1).
Discussion
The recent work of DuBow and colleagues has elegantly demonstrated the potential for novel antibacterial discovery through the characterisation of bacteriophage:host interactions (Liu et al., 2004). Indeed, phage have evolved a wide variety of strategies to repurpose host cell functions for their own benefit, including inhibition of key bacterial proteins. These include many examples of proteins that target DNA replication, recombination and repair factors, which often share the primary structure characteristics of DNA mimic proteins (Wang et al., 2014). Characterisation of DNA mimic proteins provides an attractive route towards the identification and validation of novel antibiotic targets, because bacterial DNA transactions are not only crucial for survival but are structurally orthogonal to their eukaryotic counterparts (Robinson et al., 2012). Moreover, the systematic analysis of the antibiotic sensitivity of single gene knockouts in E. coli highlights the potential of targeting DNA binding proteins as part of ‘co-antibacterial’ strategies to potentiate the effects of existing drugs (Tamae et al., 2008).
In this work, we determined the structural basis for inhibition of the RecBCD complex by the phage-encoded DNA mimic Gam, and exploited this interaction to show that inhibition of host cell DSB repair is a useful co-antibacterial strategy alongside quinolone drugs. GamL reversed resistance to all four tested fluoroquinolones in clinical isolates of multi-drug resistant K. pneumoniae, a human pathogen, as defined by an assay validated to predict clinical efficacy of antibacterial drugs (CLSI, 2015). Our data show that the Gam protein works by blocking the DNA binding site, partly by imitating both the single- and double-stranded portions of broken DNA. Gam has also been reported to interact with the SbcCD complex, another nuclease implicated in DNA repair (Kulkarni and Stahl, 1989). However, inhibition of SbcCD is unlikely to contribute to the antibacterial potentiation effect observed here, because cells lacking SbcCD activity are not sensitive to ciprofloxacin (Henderson and Kreuzer, 2015; Aedo and Tse-Dinh, 2013; Liu et al., 2010). DNA mimicry has been observed previously for phage-encoded proteins that target type I restriction endonucleases and glycosylases (Kennaway et al., 2009; Baños-Sanz et al., 2013; Cole et al., 2013) and it may be a common mechanism for bacteriophages to modulate DNA replication and repair in their hosts. Bacteriophage P22 codes for another, distinctive RecBCD inhibitor called Abc2 but this operates by a poorly-characterised mechanism (Murphy, 2000). Moreover, a small molecule inhibitor of AddAB/RecBCD (ML328) has recently been developed (Bannister et al., 2010). It will be of great interest to understand the inhibitory mechanisms of these molecules, expanding our understanding of how we can control bacterial DNA repair and, potentially, exploit this knowledge to combat antibacterial resistance.
Materials and methods
Cloning of the bacteriophage λ Gam protein
Request a detailed protocolFor over-expression in E. coli, the gene encoding bacteriophage lambda GamS, corresponding to residues 41–138 of the full-length Gam protein, was synthesised with codon optimisation for E.coli expression (GeneArt, Thermo Fisher, Waltham, MA, USA). GamS was cloned into pET22b, between NdeI and BamHI, using In-Fusion cloning. For fluoroquinolone potentiation studies, the genes encoding GamS and full length GamL were cloned into the pBAD322K plasmid (which replicates in both E. coli and K. pneumoniae) under the control of an arabinose-inducible promoter (a gift from Prof. John Cronan, University of Illinois [Cronan, 2006]) using the NcoI and HindIII restriction sites. All plasmid sequences were verified by direct DNA sequencing.
Expression and purification of the RecBCD-Gam complex
Request a detailed protocolGamS protein was over-expressed using the pET22b construct in BL21 (DE3) cells with 4 hr induction at 27°C. The purification procedure for GamS was as described (Court et al., 2007). As observed previously, GamS purifies as a dimer. E. coli RecBCD complex was expressed and purified as described (Wilkinson et al., 2016). A 2:1 molar excess of dimeric GamS was incubated with RecBCD for 15 min at room temperature prior to size-exclusion chromatography with a Superdex 75 10/300 GL column, to separate free GamS. The buffer used contained: 25 mM Tris pH 7.5, 50 mM NaCl and 0.5 mM TCEP (pH 7.0). The peak fractions were pooled and concentrated to 1.4 mg/ml using Vivaspin 30 KDa molecular weight cut-off centrifugal concentrators.
Cryo-electron microscopy grid preparation and data collection
Request a detailed protocolThinned C-flat 1 × 1 µm holey carbon film grids were prepared as described (Wilkinson et al., 2016). Grids were thinned using a total of 3 min of glow discharge (in 30 s steps), left for two weeks and then treated using a 1 mM solution of Amphipol A8-35. Sample (3 µL) was evenly applied to the grid before blotting and freezing in liquid ethane using a Vitrobot Mark IV (FEI). For blotting, a relative blot force of −4 for 1 s at 4°C was used. Data were collected using a Titan Krios I microscope operated at 300 KV at eBIC, Diamond, UK. Zero loss energy images were collected automatically using EPU (FEI) on a Gatan K2-Summit detector in counting mode with a pixel size corresponding to 1.34 Å at the specimen. A total of 358 images were collected with a nominal defocus range of −1.2 to −2.4 µm. Each image consisted of a movie stack of 25 frames with a total dose of 36 electrons/Å2 over 10 s corresponding to a dose rate of 6.5 electrons/pixel/s.
Data processing
Request a detailed protocolAll 25 movie frames for each image stack were aligned and summed using Motioncorr (Li et al., 2013) prior to processing with Relion1.4 (Scheres, 2016). The actual defocus and other contrast transfer function (CTF) parameters for each summed movie stack were determined using Gctf (Zhang, 2016). Outlying micrographs were removed based on a number of criteria, leaving 334 images with Thon rings extending to an estimated resolution range from 6.2–2.8 Å (mean of 3.4 Å) and defocus range between −0.6 to −2.9 μm. The program Gautomatch (Urnavicius et al., 2015) was used for automated, template-free particle picking with a circular particle diameter of 140 Å, picking 134,124 particles. Initially, reference-free 2D classification was used to remove poor particles from autopicking, leaving 122,796 particles judged to represent potential protein complexes. These were subjected to 3D classification using the RecBCD:DNA crystal structure (PDB:1 W36) (Singleton et al., 2004), low-pass filtered to 45 Å, as a starting model. All four classes generated contained complexes of GamS with RecBCD although with different occupancy of the RecB nuclease and RecD 2A/2B domains. All particles were initially kept together for more robust classification after correcting for single-particle movement and per-frame radiation damage in particle polishing. 3D refinement of the 122,896 particles yielded a map with a resolution of 4.4 Å before masking (as estimated by the ‘gold-standard’ Fourier Shell Correlation (FSC) at the 0.143 cut-off criterion). After application of an auto-generated mask in Relion, the resolution of the map was 4.0 Å. Particle polishing improved the masked resolution to 3.8 Å.
At this point 3D classification without alignment (Scheres, 2016) was used to separate the different conformations within the data. The data were split into 10 classes with the majority (82%) falling into three major distinct classes. There were 30% of the particles in a class that lacked density for the RecB nuclease. The other two classes both represented the full complex with a similar spread of views but, when refined separately, showed slightly different conformations of a block of domains including the RecB 2B domain, part of the RecC CTD and the RecD 2A/2B domains. Since the GamS and surrounding structure was consistent for all three classes, they were summed for the final map at 3.8 Å. The final applied b-factor for sharpening used in post-processing was −70 Å2 with the resulting FSC plot shown in Figure 1—figure supplement 1.
Model building and refinement
Request a detailed protocolScripts for map conversion, cell matching and refinement in Refmac were kindly provided by Garib Murshudov (MRC-LMB). The recent cryo-EM structure of RecBCD in complex with DNA (PDB: 5LD2) (Wilkinson et al., 2016), and the crystal structure of GamS (PDB: 2UUZ) (Court et al., 2007), were used as starting models for global docking in Chimera (Pettersen et al., 2004). Jelly-body Refmac refinement was used to correct for conformational changes in the model from the template structures. The entire model was carefully edited and fit using real-space refinement in Coot (Emsley et al., 2010) with occasional jelly-body refinement with Refmac, monitoring geometry statistics throughout. Near the end, phenix.real_space_refine (Afonine et al., 2013) was used to generate the final model, assign two group B-factors per residue and model statistics (see Figure 1—source data 1).
Bacterial strains and fluoroquinolone sensitivity tests
Request a detailed protocolFluoroquinolone sensitivity was tested in E. coli MG1655 and five different strains of K. pneumoniae; wild-type isolate Ecl8 (a fully susceptible strain (Forage and Lin, 1982) and a gift from Dr T. Schneiders, University of Edinburgh); Ecl8-CIP-M1, a mutant derivative selected for growth on LB agar containing 30 ng/mL of ciprofloxacin following plating of 100 µL of an overnight culture of Ecl8; Ecl8-CIP-M2, a mutant derivative selected for growth on LB agar containing 4 µg/mL of ciprofloxacin following plating of 100 µL of an overnight culture of Ecl8-CIP-M1; clinical isolates R16 and R20 selected because of their reduced ciprofloxacin susceptibility (cultured from the blood of patients being treated at Southmead Hospital, Bristol and a gift of Prof A. P. MacGowan). Minimum inhibitory concentration (MIC) assays were performed as described previously with some modifications (Wiegand et al., 2008). Ciprofloxacin stocks of 4 µg/ml were made by dissolving in 0.1M HCl. Antibiotic serial dilutions were made in Mueller Hinton broth (MHB). For assays using E. coli, cells were grown in the absence of the inducer arabinose at 37°C to reach stationary phase. Cells were then diluted in MHB to OD600 ~10−4 or an approximate cell count of 105 cfu.ml−1 within each well of a 96 well plate. The plates were incubated at 37°C for 18 hr. Where appropriate, the wells were supplemented with kanamycin (50 µg/ml), arabinose (1% w/v), and various antibiotics at the indicated concentrations. For K. pneumoniae, antibiotic susceptibility disc tests followed the CLSI protocol (CLSI, 2015). Media were supplemented with kanamycin (30 µg/ml) and arabinose (0.2% w/v) as appropriate. The zone of growth inhibition around each disc was determined, in triplicate, by taking multiple measurements of the diameter and quoting the mean value, rounded to the nearest integer.
References
-
SbcCD-mediated processing of covalent gyrase-DNA complex in Escherichia coliAntimicrobial Agents and Chemotherapy 57:5116–5119.https://doi.org/10.1128/AAC.00130-13
-
Bulk-solvent and overall scaling revisited: faster calculations, improved resultsActa Crystallographica Section D Biological Crystallography 69:625–634.https://doi.org/10.1107/S0907444913000462
-
Dual nuclease and helicase activities of helicobacter pylori AddAB are required for DNA repair, recombination, and mouse infectivityJournal of Biological Chemistry 284:16759–16766.https://doi.org/10.1074/jbc.M109.005587
-
Probe Reports From the NIH Molecular Libraries ProgramML328: A novel dual inhibitor of bacterial AddAB and RecBCD helicase-nuclease DNA repair enzymes, Probe Reports From the NIH Molecular Libraries Program, MD, Bethesda.
-
Role of the RecBCD recombination pathway in Salmonella virulenceJournal of Bacteriology 184:592–595.https://doi.org/10.1128/JB.184.2.592-595.2002
-
BookM100-S25: Performance Standards for Antimicrobial Susceptibility Testing; 25th Informational SupplementWayne, PA: CLSI.
-
Architecturally diverse proteins converge on an analogous mechanism to inactivate Uracil-DNA glycosylaseNucleic Acids Research 41:8760–8775.https://doi.org/10.1093/nar/gkt633
-
Genetic engineering using homologous recombinationAnnual Review of Genetics 36:361–388.https://doi.org/10.1146/annurev.genet.36.061102.093104
-
The crystal structure of lambda-Gam protein suggests a model for RecBCD inhibitionJournal of Molecular Biology 371:25–33.https://doi.org/10.1016/j.jmb.2007.05.037
-
RecBCD enzyme and the repair of double-stranded DNA breaksMicrobiology and Molecular Biology Reviews 72:642–671.https://doi.org/10.1128/MMBR.00020-08
-
Features and development of cootActa Crystallographica Section D Biological Crystallography 66:486–501.https://doi.org/10.1107/S0907444910007493
-
DHA system mediating aerobic and anaerobic dissimilation of glycerol in Klebsiella pneumoniae NCIB 418Journal of Bacteriology 151:591–599.
-
Role of double strand DNA break repair for quinolone sensitivity in Escherichia coli: therapeutic implicationsRevista Espanola De Quimioterapia : Publicacion Oficial De La Sociedad Espanola De Quimioterapia 28:139–144.
-
The structure of M.EcoKI Type I DNA methyltransferase with a DNA mimic antirestriction proteinNucleic Acids Research 37:762–770.https://doi.org/10.1093/nar/gkn988
-
Interaction between the sbcC gene of Escherichia coli and the gam gene of phage lambdaGenetics 123:249–253.
-
Antibiotic sensitivity profiles determined with an Escherichia coli gene knockout collection: generating an antibiotic bar codeAntimicrobial Agents and Chemotherapy 54:1393–1403.https://doi.org/10.1128/AAC.00906-09
-
Antimicrobial drug discovery through bacteriophage genomicsNature Biotechnology 22:185–191.https://doi.org/10.1038/nbt932
-
Survival of recombination-deficient mutants of Escherichia coli during incubation with nalidixic acidJournal of Bacteriology 134:1195–1198.
-
The lambda Gam protein inhibits RecBCD binding to dsDNA endsJournal of Molecular Biology 371:19–24.https://doi.org/10.1016/j.jmb.2007.05.085
-
Rapid modification of bacterial artificial chromosomes by ET-recombinationNucleic Acids Research 27:1555–1557.https://doi.org/10.1093/nar/27.6.1555
-
Klebsiella pneumoniae: Going on the offense with a strong defenseMicrobiology and Molecular Biology Reviews 80:629–661.https://doi.org/10.1128/MMBR.00078-15
-
UCSF chimera--a visualization system for exploratory research and analysisJournal of Computational Chemistry 25:1605–1612.https://doi.org/10.1002/jcc.20084
-
Processing of structurally heterogeneous Cryo-EM data in RELIONMethods in Enzymology 579:125–157.https://doi.org/10.1016/bs.mie.2016.04.012
-
Determination of antibiotic hypersensitivity among 4,000 single-gene-knockout mutants of Escherichia coliJournal of Bacteriology 190:5981–5988.https://doi.org/10.1128/JB.01982-07
-
Bacterial DNA repair: recent insights into the mechanism of RecBCD, AddAB and AdnABNature Reviews Microbiology 11:9–13.https://doi.org/10.1038/nrmicro2917
-
Gctf: Real-time CTF determination and correctionJournal of Structural Biology 193:1–12.https://doi.org/10.1016/j.jsb.2015.11.003
-
A new logic for DNA engineering using recombination in Escherichia coliNature Genetics 20:123–128.https://doi.org/10.1038/2417
Article and author information
Author details
Funding
Wellcome (095519/B/11/Z)
- Dale B Wigley
Medical Research Council (MR/N009258/1)
- Dale B Wigley
Cancer Research UK (A12799)
- Dale B Wigley
Wellcome (100401/Z/12/Z)
- Mark S Dillingham
Engineering and Physical Sciences Research Council (EP/M027546/1)
- Matthew B Avison
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Acknowledgements
WAKWNI was funded by a postgraduate scholarship from the Malaysian Ministry of Education. We thank Alistair Siebert, Daniel Clare and Sonja Welsch at the EBIC EM facility at Diamond for help with EM data collection. Protein coordinates been deposited at the protein databank (ID code 5MBV) and the electron density map has been deposited at the EM databank (ID code 3460).
Copyright
© 2016, Wilkinson et al.
This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Metrics
-
- 2,662
- views
-
- 525
- downloads
-
- 45
- citations
Views, downloads and citations are aggregated across all versions of this paper published by eLife.
Download links
Downloads (link to download the article as PDF)
Open citations (links to open the citations from this article in various online reference manager services)
Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)
Further reading
-
- Structural Biology and Molecular Biophysics
Segmentation is a critical data processing step in many applications of cryo-electron tomography. Downstream analyses, such as subtomogram averaging, are often based on segmentation results, and are thus critically dependent on the availability of open-source software for accurate as well as high-throughput tomogram segmentation. There is a need for more user-friendly, flexible, and comprehensive segmentation software that offers an insightful overview of all steps involved in preparing automated segmentations. Here, we present Ais: a dedicated tomogram segmentation package that is geared towards both high performance and accessibility, available on GitHub. In this report, we demonstrate two common processing steps that can be greatly accelerated with Ais: particle picking for subtomogram averaging, and generating many-feature segmentations of cellular architecture based on in situ tomography data. Featuring comprehensive annotation, segmentation, and rendering functionality, as well as an open repository for trained models at aiscryoet.org, we hope that Ais will help accelerate research and dissemination of data involving cryoET.
-
- Structural Biology and Molecular Biophysics
Images taken by transmission electron microscopes are usually affected by lens aberrations and image defocus, among other factors. These distortions can be modeled in reciprocal space using the contrast transfer function (CTF). Accurate estimation and correction of the CTF is essential for restoring the high-resolution signal in cryogenic electron microscopy (cryoEM). Previously, we described the implementation of algorithms for this task in the cisTEM software package (Grant et al., 2018). Here we show that taking sample characteristics, such as thickness and tilt, into account can improve CTF estimation. This is particularly important when imaging cellular samples, where measurement of sample thickness and geometry derived from accurate modeling of the Thon ring pattern helps judging the quality of the sample. This improved CTF estimation has been implemented in CTFFIND5, a new version of the cisTEM program CTFFIND. We evaluated the accuracy of these estimates using images of tilted aquaporin crystals and eukaryotic cells thinned by focused ion beam milling. We estimate that with micrographs of sufficient quality CTFFIND5 can measure sample tilt with an accuracy of 3° and sample thickness with an accuracy of 5 nm.