Impact Factor 4.123 | CiteScore 5.4
More on impact ›

Original Research ARTICLE

Front. Cell. Infect. Microbiol., 08 January 2021 |

Global Lysine Crotonylation Alterations of Host Cell Proteins Caused by Brucella Effector BspF

Jinying Zhu, Qiao Dong, Changpeng Dong, Xi Zhang, Huan Zhang* and Zeliang Chen*
  • Key Laboratory of Zoonotic of Liaoning Province, College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China

In Brucella spp., the type IV secretion system (T4SS) is essential for bacterial intracellular survival and inhibition of the host innate immune response. The Brucella T4SS secretes 15 different effectors to escape host immunity and promote intracellular replication. Among them, BspF has a GNAT-family acetyltransferase domain, implying its acetyltransferase activity. We confirmed that BspF has acetyltransferase activity (data not shown) and de-crotonyltransferase activity. However, BspF overexpressed in HEK-293T cells can also enhance octamer crotonylation in vitro. Then we enriched crotonylated proteins and conducted LC-MS to study the crotonylation changes of proteins in HEK-293T cells caused by BspF overexpression. A total of 5,559 crotonylation sites were identified on 1,525 different proteins, of which 331 sites on 265 proteins were significantly changed. We found that Rab9A and RAP1B in proteomics data have a great impact on Brucella survival, so we speculate that BspF may influence the function of host proteins by altering crotonylation, thereby promoting the intracellular propagation of Brucella.


Post-translational modification (PTM) is a process in which one or more amino acid residues are covalently modified during or after protein translation, and it can be used to aspect of regulate cellular physiology (Mann and Jensen, 2003; Zhang et al., 2011). Different kinds of modifications can change the hydrophobicity, function, and structure of the proteins, as well as their electron-richness and nucleophilic properties. Modifications can enable proteins to control physiological processes, participate in signaling pathways, and even affect immune functions (Liu et al., 2016). Lysine residues on proteins may be methylated, acetylated, biotinylated, ubiquitinated, crotonylated, propionylated, and butyrylated (Wisniewski et al., 2008; Dada et al., 2017). PTMs such as ubiquitination, acetylation, and phosphorylation can regulate the downstream signaling pathway of pathogen recognition by targeting innate sensors, thus affecting the human immune response (Liu et al., 2016). For instance, viral infection can induce C-terminal phosphorylation of interferon regulatory factor 3 (IRF-3), a member of the interferon regulatory factor family, to form a dimer and shift to the nucleus, where it combines with other transcription factors such as CBP/p300 to induce the expression of IFN-α/β and IFN-stimulated genes (Tanaka and Chen, 2012; Cui et al., 2014). Furthermore, phosphorylation of TIR domain-containing adaptor protein inducing interferon-β (TRIF) is required for IRF3 recruitment, which indicates that protein phosphorylation plays an important role in the activation of antiviral innate immune signals (Liu et al., 2015; Liu et al., 2016). In addition, the nuclear factor κB (NF-κB) transcription factor family regulates the expression of a large variety of genes that activate signaling pathways associated with autoimmunity, chronic inflammation, and various cancers (Napetschnig and Wu, 2013). In the TLR pathway, activation of NF-κB and IRF3 requires K63-linked polyubiquitination of TRAF6, TAB2/3, NEMO, and TRAF3, while K48-linked polyubiquitination induces proteasome degradation of IkB, thereby causing nuclear transport of NF-κB (Tokunaga et al., 2009; Napetschnig and Wu, 2013; Liu et al., 2016). Furthermore, TLR stimulation induces acetylation of MAPK phosphatase 1 (MKP1), which increases the interaction between MKP1 and p38, and inhibits the MAPK signaling pathway, which means acetylation may be a negative regulator of innate immune pathways (Cao et al., 2008; Liu et al., 2016).

Lysine crotonylation (Kcr) is a new type of histone modification that was first reported in 2011 by Tan et al., who found that crotonyl enrichment on sex chromosomes promotes gene expression to maintain the activity of haploid cells (Tan et al., 2011; Montellier et al., 2012). Crotonylation also promotes gene expression in response to acute kidney injury (Ruiz-Andres et al., 2016). The transcriptional co-activator p300 has both histone acetyltransferase (HAT) activity and histone crotonyltransferase (HCT) activity, and p300-catalyzed histone crotonylation directly stimulates transcription to a greater degree than does p300-catalyzed histone acetylation (Sabari et al., 2018). Crotonylation is reported on both histone and non-histone proteins. In a study by Xu et al., lysine-crotonylated peptide from human lung adenocarcinoma cell line H1299 was trypsinized and isolated using an anti-crotonylated lysine antibody, and high-resolution liquid chromatography-tandem MS (LC-MS/MS) was performed to determine whether non-histone proteins were modified by crotonylation. This was the first study to show that a large number of non-histone proteins are crotonylated (Xu et al., 2017), but the function of non-histone crotonylation remains unclear. Therefore, in vitro studies on crotonyltransferases generally use histone octamers as substrates for experiments (Kollenstart et al., 2019).

Brucellosis is caused by gram-negative facultative intracellular bacteria Brucella. It is a worldwide zoonotic disease that impacts reproductive systems in animals and can debilitating humans (Byndloss and Tsolis, 2016). A series of non-specific symptoms such as fever, chills, anorexia, and joint pain occur when humans are infected with brucellosis, which has a huge impact on human health (Zhong et al., 2013). Brucella can survive and replicate within a membrane-bound compartment inside professional and nonprofessional phagocytic cells (Naroeni and Porte, 2002), phagocytic cells commonly used in in vitro infection are RAW264.7 cells, BMDM cells, etc., and non-phagocytic cells include HeLa cells, Vero cells, and the like (Detilleux et al., 1990; Pizarro-Cerda et al., 1998). The Brucella type IV secretion system (T4SS) is a crucial virulence factor that plays an important role in mediating intracellular survival and manipulating host immune responses to infection. After Brucella invades the host, the T4SS secretes 15 effectors to promote Brucella intracellular survival, namely Brucella secreted protein (Bsp) A, B, C, E, and F; Brucella TIR protein (Btp) A and B; virB-coregulated effector (Vce) A and C; Brucella protein effector (BPE) 005, 043, 123, and 275; Rab2 interacting conserved protein A (RicA); and secreted effector protein A (SepA) (Ke et al., 2015; Dehio and Tsolis, 2017). Brucella is phagocytosed by phagocytic cells to form Brucella-containing vesicles (BCVs) that interact with early and late lysosomes (eBCV). The maturation of eBCV promotes T4SS secretion. The secreted effector proteins interact with the endoplasmic reticulum exit site and obtain endoplasmic reticulum- and Golgi-derived membranes to form rBCVs. Many host proteins are involved in the development of rBCVs. The protein BspF (BAB1_1948) is a Brucella T4SS effector and contains a Gcn5-related N-acetyltransferase (GNAT) family acetyltransferase domain. BspF has been found to promote intracellular bacterial growth by modulating host secretory function (Myeni et al., 2013), but so far, thereare few reports on its structure and function.

In our study, we verified that BspF has de-crotonylase activity in vitro, but it can promote crotonylation in cells. Therefore, after overexpression of BspF in HEK-293T cells, we performed crotonylation omics analysis, and speculated that BspF could change protein function to promote intracellular parasitism. At present, there are proteomic analyses of outer-membrane protein (OMP) 25, OMP31, Omp2b porin for Brucella (Connolly et al., 2006), Brucella melitensis (Wagner et al., 2002), and Brucella suis (Al Dahouk et al., 2008). Our study might provide new insights for further understanding the effect of crotonylation on cell signal pathway during the infection.

Materials and methods

Plasmid Cloning

The full-length BspF gene was amplified from the chromosome of B. melitensis by PCR using BspF-F (CCGGAATTCATGGCTGCAAAAC) and BspF-R (CCGCTCGAGTTATTTATGCTCGG) primers. The PCR amplified genes were gel-purified, and the effector gene BspF was cloned into the pCMV-HA vector (HA-BspF) and pEGX-6p-1 vector (GST-BspF).

Expression and Purification of BspF In Vitro

GST-BspF was transformed into Escherichia coli strain Rosetta. The Rosetta was cultured in LB (yeast extract 5 g/L, Tryptone 10 g/L, NaCl 10 g/L) 37°C, 200 rpm, for 12 h. Then collected at 4,000 rpm, resuspended in buffer 1 (KH2PO4 1.8 mmol/L, Na2HPO4 10 mmol/L, NaCl 137 mmol/L, KCl 2.7 mmol/L, DTT 2 mmol/L), sonicated, and centrifuged at 12,000 rpm to take the supernatant. The supernatant was combined with the GST-affinity column, and the protein that did not bind was washed away with buffer 1, and then incubated with PreScission protease to digest the GST tag.

Cell Culture, Plasmid Transfection, and Overexpression of BspF

HEK-293T and HeLa cells were cultured in Dulbecco’s minimal essential medium (DMEM) containing 10% fetal bovine serum (FBS) (Gemin, USA) at 37°C and 5% CO2.

Plate cells were cultured in 10 mL of 10% growth medium for one day prior to transfection, until they reached 70% to 90% confluency. Lipofectamine 2000 reagent (Thermo Fisher Scientific, USA) were diluted in Opti-MEM Medium (Gibco, Thermo Fisher Scientific, USA), and DNA/RNA was diluted in Opti-MEM Medium and incubated for 10 min. Mixed diluted DNA/RNA and diluted Lipofectamine 2000 gently, incubated for 30 min at room temperature, then added the mix to cells. Six hours after transfection, the growth medium was removed from the cells and replaced with 10 ml of 2% FBS maintenance medium.

Test plates were transfected with 16 μg of HA-BspF plasmid, and control plates were transfected with 16 μg of pCMV-HA plasmid. Cells were collected at four time points: 18 h, 24 h, 30 h, and 36 h after transfection. Protein overexpression was assessed by western blotting.

In Vitro Crotonylation Assays

In vitro crotonylation assays (Kollenstart et al., 2019) were performed with 10 µg BspF, 0.5 µM octamers and 300 µM crotonyl-CoA, in reaction buffer (50 mM Tris-Cl, pH 7.5; 100 mM NaCl; 1 mM EDTA, 1 mM DTT) with a final volume of 50 µl. Reactions were performed for 1 h at 37°C, and inhibited by adding 5 × loading buffer and analyzed by immunoblotting.

Immunoprecipitation of BspF in HEK-293T Cells for Crotonylation Assay

16 μg HA-BspF and pCMV-HA were transfected into HEK293T cells. Cells were collected at 30 h after transfection, and then lysed with RIPA (150 mM NaCl, 50 mM Tris-HCl (pH 7.4), 2 mM Na2 EDTA, 10% glycerol, 1% Nonidet P 40 (NP-40) and 0.1% SDS), centrifuged in a 1.5-ml centrifuge tube at 12000 rpm for 10 min at 4°C, and the supernatant was added to add 2 µl anti-HA (MBL Beijing Biotech Co. LTD, China) for 2 h, then add 50 μl of Protein A/G (Santa Cruz, USA), 4°C, overnight incubation. The agarose beads were washed three times with in reaction buffer.

The BspF protein and interaction protein were pull-down by immunoprecipitation and then reacted with 0.5 µM octamers and 300 µM crotonyl-CoA, for 1 h at 37°C. Reactions were inhibited by adding 5 × loading buffer and analyzed by immunoblotting.

Protein Extraction and Digestion

Samples were sonicated three times on ice using a high intensity ultrasonic processor (Scientz) in lysis buffer (8 M urea, 1% protease inhibitor cocktail, 3 μM TSA, and 50 mM NAM). Cell debris was removed by centrifugation at 12,000 g at 4°C for 10 min, and the supernatant was collected and protein concentration determined using a BCA kit. The protein solution was reduced with 5 mM dithiothreitol for 30 min at 56°C, then alkylated with 11 mM iodoacetamide for 15 min at room temperature in darkness. Finally, the sample was diluted until the urea concentration was less than 2 M. Trypsin was added at a mass ratio of 1:50 (trypsin: protein) and digestion was performed overnight at 37°C, followed by a 4 h digestion with a trypsin: protein mass ratio of 1:100.

Affinity Enrichment of Crotonyl Peptides

Peptides were dissolved in NETN buffer solution (100 mM NaCl, 1 mM EDTA, 50 mM Tris-HCl, 0.5% NP-40, pH 8.0), and the supernatant was gently shaken and incubated with pre-washed antibody beads (Lot number PTM503, PTM Bio) at 4°C overnight. After incubation, the beads were washed four times with NETN buffer and washed four times with ddH2O. The bead-bound peptides were eluted with 0.1% trifluoroacetic acid three times, and the eluate was collected and vacuum-dried. After draining, the resulting peptides were desalted using C18 ZipTips (Millipore) according to the manufacturer’s instructions for LC-MS/MS analysis.

In-Gel Digestion

BspF-added group and Non-BspF group were performed SDS-PAGE, and then we cut the substrate from the strip for in-gel tryptic digestion. The gel fragments were decolorized in 50 mM NH4HCO3 in 50% acetonitrile (v/v), and then use 100 μl of 100% acetonitrile to remove the liquid. The gel fragments were rehydrated in 10 m Mdithiothreitol and incubated at 56°C for 60 min, and dehydrated after incubating for 45 min in the dark. Repeated three times, the gel fragments are rehydrated with 10 ng/μl trypsin and will react with 50 mM NH4HCO3 for 1 h on ice. The excess liquid was removed, and the gel fragments were trypsinized overnight at 37°C. The peptides were extracted with 50% acetonitrile/5% formic acid and then 100% acetonitrile. And then dry to completion and resuspended in 2% acetonitrile/0.1% formic acid.

LC-MS/MS Analysis

Peptides were dissolved in solvent A (0.1% formic acid) and directly loaded onto a home-made reversed-phase analytical column (15 cm length, 75 μm id) for separation. The gradient comprised an increase in solvent B (0.1% formic acid in 98% acetonitrile) from 6% to 23% over 26 min, 23% to 35% over 8 min, 35% to 80% over 3 min, and a hold at 80% for the last 3 min, all at a constant flow rate of 400 nL/min on an EASY-nLC 1000 UPLC system.

The separated peptides were injected into an NSI ion source for ionization, followed by tandem mass spectrometry (MS/MS) in Q ExactiveTM Plus (Thermo) coupled online to the UPLC. The voltage was 2.0 kV. The primary mass spectrometer scan range was 350 to 1,600 m/z, the scan resolution was 120,000, and the secondary scan resolution was 15,000. The data acquisition mode used a data-dependent scanning program that alternated between one MS scan followed by 20 MS/MS scans with 15.0 s dynamic exclusion. Automatic gain control was set at 5E4.

Database Search

Secondary mass spectral data were processed using Maxquant (v1.5.2.8). Tandem mass spectra were searched against the SwissProt Human database (20,317 sequences), and the impact of contaminating proteins in the identification results was minimized as much as possible. Trypsin was specified as the cleavage enzyme, allowing up to 4 missing cleavages. The precursor ions mass error tolerance was 20 ppm for the first search and 5 ppm for the main search, and the mass tolerance for fragment ions was set at 0.02 Da. Cysteine alkylation was specified as a fixed modification, and variable modifications were methionine oxidation, N-terminal acetylation, and lysine crotonylation. The FDR for protein identification and PTM identification was set to 1%.

Protein-Protein Interaction Network

Search for all differentially expressed proteins in the STRING database of version 10.5, set interactions between proteins that only belong to the search data, thereby excluding external candidates, and set a confidence score> 0.7 (high confidence) for protein interaction analysis. The interactive network of STRING is visualized in Cytoscape. In the figure, the ore clustering algorithm of Molecular Clustering Detection (MCODE) is used to analyze densely connected areas. MCODE is part of the plug-in toolkit of the network analysis and visualization software Cytoscape.


Cell lysates were harvested at 30 h and protein concentration was determined. Equivalent quantities of cell lysates were then denatured in 5 × loading buffer and boiled at 100°C for 10 min. Equal amounts of proteins separated by 10% SDS-PAGE were transferred to polyvinylidene fluoride (PVDF) membranes (Merck Millipore, USA). The membranes were then washed in Tris-buffered saline with Tween 20 (TBST), and blocked in TBST containing 5% skimmed milk for 2 h at room temperature. Membranes were incubated overnight at 4°C with antibodies for detecting crotonylation (PTM Bio, China) and β-actin (Beyotime, China), followed by incubation with HRP-conjugated secondary antibody (Beyotime, China) at room temperature for 2 h. Signals were detected with Clarity ECL reagents (Beyotime, China).

Experiment of Brucella Intracellular Survival

HeLa cells in the six-well plate were cultured for 24 h and then infected with Brucella. Brucella was collected at the bottom of the centrifuge tube at 12,000 rpm, and the bacteria were resuspended in DMEM. Pipette 200 μl of bacterial solution to infect the HeLa cells, in 37°C incubator for 2 h. Discard the DMEM containing bacteria, wash three times with PBS for washing away the uninfected extracellular bacteria in the culture. Add DMEM containing 2% FBS and 200 μg/ml gentamicin in 37°C for 1 h to kill extracellular bacteria. Change to DMEM containing 2% fetal bovine serum and 50 µg/ml gentamicin, and continue to incubate at 37°C for 24 h. Finally, the cells were lysed with 0.1% (v/v) TritonX-100, the lysate was diluted 10−4 and then coated on a TSA plate for counting, repeated 3 times.


BspF Contains GCN5-related N-Acetyltransferases (GNAT) Domain and Has De-crotonylase Activity In Vitro

In order to analyze the function of BspF protein, we performed the Conserved Domain Blast of the amino acid sequence of BspF on NCBI. The 224-350th amino acid of BspF is acetyltransferase (GNAT) domain (Figure 1A). Most of GNAT-contaning proteins have N-acetyltransferase functions. So we verify the role of BspF in crotonylation in vitro. First, we purified BspF, in Escherichia coli and tested whether octamers can be crotonylated in vitro by acylation transferase assay. Crotonylation was first identified at the lysine site on histones, so we chose octamers as the substrate to verify the crotonyltransferase activity of BspF. We use SDS-PAGE (Figure 1B) to ensure that the contents of each group are consistent, and then use anti-crotonyllysine to detect the crotonylation of octamers. As shown in Figure 1C, comparing lane 1 and lane 2, the crotonylation on octamers was significantly weakened due to the addition of BspF, so BspF has de-crotonylase activity in vitro.


Figure 1 BspF has de-crotonylase activity in vitro. (A) BspF contains a Gcn5-related N-acetyltransferase (GNAT) family acetyltransferase domain (224-350). (B, C) BspF was expressed and purified in Escherichia coli, and the in vitro BspF shown de-crotonylase activity. (B) The SDS-PAGE Coomassie staining of the in vitro enzymatic activity experiment reaction system showed that the content of the same components in each system was consistent. (C) BspF can attenuate the crotonylation of octamers in vitro.

Mass Spectrometry of Substrate Crotonylation Sites

We verified that BspF has de-crotonylase activity through in vitro crotonylation assays, and then we separately identified the two groups of substrates by mass spectrometry (the components in the BspF-added group were 10 μg BspF, 0.5 μM octamers, 300 μM cro-CoA. The components in the Non-BspF group are 0.5 μM octamers, 300 μM cro-CoA) to determine which sites in the substrate have changed crotonylation. We found that octamers in Non-BspF group were crotonylated at K37 of H2A, K21, K47, K117 of H2B, K19, K24 of H3, and K13 of H4. But in BspF-added group, only K47 of H2B and K24 of H3 remain on the octamers with crotonylation (Table 1, Supplementary Table 1). Indicating BspF has decrotonylase activity in vitro.


Table 1 Mass spectrometry of substrate.

The De-Crotonylase Activity of BspF Is Affected by Its Interacting Proteins in the Intracellular Environment

In vitro test results showed that BspF has the effect of de-crotonylation, after that we pull-down BspF through immunoprecipitation and incubated with octamers in vitro. As shown in Figure 2A, BspF expression level increased as transfection progressed, with a peak at 30 h. Then through immunoprecipitation to pull-down BspF and proteins interacted with it. We incubated the pull-down proteins and crotonyl-CoA with octamers at 37°C for 1 h, and we found that BspF and its interacting protein can promote the crotonylation of octamers (Figures 2B, C). Subsequently, we determined the presence of crotonylation in HEK-293T cells by immunoblotting, and showed the difference in crotonylation levels between the HA group and the BspF group (Figure 2D). We found that BspF has de-crotonylase activity in vitro and expressed-BspF in cells may change the crotonylation levels of cell proteins. So we subsequently performed LFQ of lysine crotonylation in BspF-transfected HEK-293T cells.


Figure 2 The de-crotonylase activity of BspF overexpressed in vivo is affected. (A) Overexpression of BspF in HEK-293T cells. At 30 h after transfection, the expression of BspF was highest. (B, C) In complex cellular environments, the de-crotonylase activity of BspF is disturbed due to its interacting proteins. (B) The SDS-PAGE Coomassie staining of the enzymatic activity experiment reaction system showed that the content of the same components in each system was consistent. (C) The protein content of the immunoprecipitation is low, and the expression of BspF cannot be clearly seen in Coomassie staining, so we use western-blot to ensure the expression and uniformity of BspF. Because of interacting partners of BspF, the de-crotonylase activity of BspF is disturbed. (D) Western-blot of whole HEK-293T cells lysis with anti-crotonyllysine antibody.

LFQ of Lysine Crotonylation in BspF-Transfected HEK-293T Cells

We show a flowchart of crotonylation in HEK-293T cells in Figure 3A. We analyzed the post-transfection of BspF through immunoblotting with a monoclonal antibody HA. As mentioned above, we chose 30 h post-transfection as the optimal time to perform proteomic analysis.


Figure 3 Overview of crotonylation identification in HEK-293T cells. (A) Flowchart of the analysis of crotonylation in HEK-293T cells. (B) Distribution of tryptic peptide lengths. (C) Number of KCr sites per protein. (D) Numbers of proteins and sites that were identified and quantified by MS/MS. (E) Differential expression statistics of protein and site modification levels. (F, G) Subcellular localization of proteins containing (F) up-regulated and (G) down-regulated KCr sites in HEK-293T cells.

As shown in Figure 3B, the length of the trypsin peptides was predominantly distributed under 25 amino acids. The accuracy of the mass spectrometer is within 5 ppm. In Figure 3C, the error distribution between the true value and the theoretical value of the relative molecular weight of all matched peptides. From our crotonylation data (Figure 3D), a total of 55,599 secondary spectra were obtained by mass spectrometry analysis. After searching the protein data library, the secondary spectrum of the mass spectrometer obtained an available effective spectrum number of 18,335. A total of 8,433 peptides and 6,209 crotonylated peptides were identified by spectrum analysis segment.

We used label-free quantitative (LFQ) LC-MS/MS proteomics to compare the crotonylation of host proteins in BspF-transfected and HA-transfected cells. In total, 6,245 crotonylation sites were mapped to 1,631 different proteins (Supplementary Table 2), with approximately 39.9% of the proteins containing a single putative crotonylated site. Of these, 5,559 crotonylation modification sites on 1,525 different proteins were identified and quantified. Using a quantification ratio of >2 as the upregulation threshold and <0.5 as the downregulation threshold, we found that 178 lysine sites of 140 proteins were upregulated and 153 lysine sites of 125 proteins were downregulated in cells overexpressing BspF (Figure 3E).

Characteristic of Subcellular Locations, Functional Categories, and Crotonylation Motif Related to Host Response

In order to obtain insights into the subcellular locations and biological processes of the proteins exhibiting altered crotonylation in response to BspF overexpression, we performed WoLF PSORT analysis and GO function classification analysis. As shown in Figure 3F, the 140 proteins with increased crotonylation were predicted to be located in the cytoplasm (39%), nucleus (33%), mitochondria (13%), plasma membrane (4%), extracellular space (4%), endoplasmic reticulum (3%), cyto_nucl (3%), and cytoskeleton (1%). The 125 proteins with decreased crotonylation (Figure 3G) were predicted to be located in the nucleus (36%), cytoplasm (35%), mitochondria (13%), cyto_nucl (7%), endoplasmic reticulum (3%), plasma membrane (2%), extracellular space (2%), cytoskeleton (1%), and ER_mito (1%).

A heat map of the clustering analysis (GO, protein domain, KEGG pathway) was generated to present the correlations between differentially crotonylated sites (Figures 4A–E). For the KEGG enrichment analysis (Figure 4B), differential crotonylated proteins in category Q1, were enriched in “Antigen processing and presentation”. In category Q2, differential crotonylated proteins were enriched in “Carbon metabolism,” “Protein processing in endoplasmic reticulum”, “Pyruvate” and “IL-17 signaling pathway”. Differential crotonylated proteins in Q3, were participated in various cellular activity, including “Apoptosis”, “Tight junction”, “Ribosome” and “Legionellosis”. Finally, in category Q4, differential crotonylated proteins were enriched in “Biosynthesis of amino acids”, “Oocyte meiosis”, and “Hippo signaling pathway”.


Figure 4 Clustering analysis of identified proteins containing differentially expressed KCr sites and functional characterization of crotonylated proteins. Modified sites were classified into four classes based on fold change. Heat maps showing the results of a cluster analysis of data from the (A–C) GO term, and (D) protein domain analyses, and (E) KEGG pathway. Functional characterization of crotonylated proteins containing (F) up- and (G) downregulated KCr sites at 30 h post-transfection, showing biological processes, cellular components, molecular functions, and KEGG pathways.

In order to gain a deeper understanding of the biological function and process of host protein crotonylation, we compiled detailed annotations of the proteins based on Gene Ontology (GO), protein domain, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and subcellular structure localization. Proteins were classified by GO annotations into three categories: biological process, cellular component, and molecular function (Figures 4F, G). All of the differentially crotonylated proteins were predicted to participate in various biological processes such as mRNA stabilization, RNA stabilization, carbohydrate biosynthetic processes, and single-organism carbohydrate metabolic processes. The molecular functions of the crotonylated proteins include cadherin binding and cell adhesion molecule binding, and many of the proteins have helicase activity. We used the KEGG database to predict the pathways in which these crotonylated proteins are involved. As shown in Figure 4F, proteins with increased crotonylation are involved in the biosynthesis of amino acids, oocyte meiosis, and the Hippo signaling pathway. And proteins with decreased crotonylation participate in antigen processing and presentation (Figure 4G, Supplementary Table 3).

We also used soft motif-x to analyze the position-specific frequencies of amino acid residues (Supplementary Table 4). A total of 29 motifs were identified, of which four motifs (KCrFXE, AKCrXD, FKCrE, and KCrGXV, where KCr is the crotonylated lysine and X is any amino acid) showed the highest scores (Table 2).


Table 2 Crotonylated lysine motifs in HEK-293T cells transfected with BspF.

BspF Causes Crotonylation Changes in Important Protein-Protein Interaction Networks Involved in Transcription and Metabolic Pathway

The protein-protein interaction network consists of individual proteins that interact with each other. The systematic analysis of protein interaction is very important for us to further understand the working principle of protein, response mechanism, energy metabolism and functional connection between proteins. In Figure 5A, we screened out all differentially modified proteins and mapped the protein interaction network. We also clustering interaction network with MCODE tool in Ribosome (Figure 5B), endoplasmic reticulum (Figure 5C), metabolic pathways (Figure 5D), and RNA transport (Figure 5E). The BspF protein aggregation interaction network shows that the change of intracellular crotonylation level caused by BspF affects the intracellular RNA transport and transcription level, and participates in cell energy metabolism, and may affect the trafficking of Brucella-containing vesicles in the cell.


Figure 5 Protein-protein interaction network of (A) all differentially crotonylated proteins. The clustering interaction network with MCODE tool (B) in Ribosome, (C) Endoplasmic reticulum, (D) Metabolic pathways and (E) RNA transport. Red nodes means up-regulated proteins, blue nodes means down-regulated proteins, the degree of nodes means the number of interacting proteins, the more protein nodes interacting with the protein, the node of this protein is larger.

Rab9A and RAP1B Are Important for Brucella Intracellular Survival

In our crotonylation proteomics data, Rab9A and RAP1B did not undergo crotonylation in cells, while K4 of Rab9A and K117 of RAP1B were crotonylated with the participation of BspF (Figures 6A, B). Subsequently, we silenced Rab9A and RAP1B gene in HeLa cells separately (Figures 6C, D), the siRNA-339 silenced Rab9A and the siRNA-439 silenced RAP1B are most efficiently. Then we use Brucella wild type (WT) infection the cells after the silencing of Rab9A and RAP1B. As shown as Figure 6E, the absence of Rab9A or RAP1B were reduce the intracellular survival of Brucella. In addition, we overexpressed Rab9A and RAP1B in HeLa cells and then infected with the WT and ΔBspF of Brucella. We found that the increase of Rab9A and RAP1B can promote the survival of Brucella (Figure 6F). These results all indicate that the proteins in our proteomics data has an effect on the intracellular survival of Brucella.


Figure 6 The crotonylated proteins in the crotonylation proteomics data have influence the survival of Brucella. Verification of the accuracy of proteomics data (A–B) BspF causing the crotonylation of Rab9A and RAP1B. (C–D) Silencing efficiency of siRNA to Rab9A and RAP1B. (E) Silencing of Rab9A and RAP1B gene in HeLa cells, the viability of Brucella is greatly reduced. (F) The overexpression of Rab9A and RAP1B in the cell enhances the ability of Brucella to survive in the cell.


Brucella parasitizes the host intracellularly and secretes effector proteins through T4SS to help Brucella evade host immunity and promote the reproduction. Brucella T4SS effectors BspA, BspB, and BspF inhibit host cell protein secretion and promote Brucella intracellular growth and persistence (Myeni et al., 2013). At first, we analyzed the sequence of BspF and performed a conserved domain blast at NCBI. We found that the 224 to 350 amino acids of BspF are acetyltransferase (GNAT) domain. GNAT family N-acetyltransferase catalyzes the transfer of the acetyl group from acetyl coenzyme A donor to a substrate. Due to the structural similarity between the acetyl group and the crotonyl group, many acetyltransferases also have crotonyltransferase activity, such as transcriptional co-activator p300 is a HAT that also participates in histone crotonylation by acting as an HCT (Sabari et al., 2018). We subsequently purified BspF in Escherichia coli and verified that BspF has the activity of de-crotonylase in vitro. The process of various modifications in organisms is complicated, so we overexpressed BspF in cells, pull-down BspF through immunoprecipitation assay, and then react with octamers in vitro. Then we found that the crotonyltransferase of BspF are influenced.

The enzymatic activity of BspF in vivo and in vitro is completely opposite. We have two hypothesizes. Firstly, the expression of BspF in vivo is less than that in vitro, which is not enough to attenuate the crotonylation of substrate. Secondly, due to the complexity of the intracellular environment, proteins that interact with BspF through immunoprecipitation are pulled-down, which may contain writers like p300/CBP and MOF, promote substrate crotonylation. Although some bacterial proteins have been identified as having modified enzymatic activities, for example, CobB is de-acetylase in E. coli, de-hydroxybutyrylase in Proteus mirabilis, and crotonyltransferase in Streptomyces (Dong et al., 2019; Sun et al., 2020). As far as we know, we are the first to identify a protein with crotonyltransferase activity in Brucella proteins.

On this basis, we over-expressed BspF in HEK-293T cells and performed protein crotonylation proteomics analysis. This study is the first attempt to analyze crotonylation differences between overexpression and non-overexpression of Brucella T4SS effector BspF in HEK-293T cells. we used LC-MS/MS to examine changes in protein crotonylation in cells transfected with BspF. After overexpressing BspF in HEK-293T cells, we enriched the crotonylated proteins for proteomic analysis. We identified a total of 6,245 crotonylation sites on 1,631 proteins, of which 5,559 sites on 1,525 proteins contained quantitative information. This was reduced to 5,267 sites on 1,348 proteins following normalization by proteomics. We analyzed the normalized data and introduced a 2-fold-change threshold. Of the quantified crotonylation sites, the crotonylation level on 178 sites were up-regulated in the HA-BspF test group and 153 sites were down-regulated, which shows that the Brucella effector change the intracellular crotonylation level.

GO term analysis of proteins with altered KCr showed that proteins with upregulated crotonylation participate in various biological processes including the stabilization of mRNA and RNA, carbohydrate biosynthetic process, monosaccharide metabolic processes, and glycolytic processes. These results showed that the effector BspF not only affects glycoside metabolism in cells, but also participate in biosynthesis and produces ATP to provide energy. On the other hand, the proteins with downregulated crotonylation are associated with processes involving lipids, corticosteroids, hormones, and hormone stimulation, in addition to chaperone-mediated protein folding and peptidyl amino acid modification. This indicates that BspF affects biochemical reactions in cells, but the specific mechanism of action requires further study.

KEGG analysis showed that proteins with decreased crotonylation were enriched in antigen processing and presentation pathways. Proteins with increased crotonylation were enriched in three pathways: biosynthesis of amino acids, oocyte meiosis, and the Hippo signaling pathway, also known as the Salvador/Warts/Hippo pathway, which is a kinase cascade comprising a series of protein kinases and transcription factors. The Hippo signaling pathway plays a crucial role in adult tissue homeostasis, organ size control, and abnormal regulation of pathways inducing different types of cancers. The core of the Hippo pathway is the kinase cascade of MST1/2 and LATS1/2. Upon activation by upstream signals, MST directly phosphorylates and activates LATS (Callus et al., 2006; Praskova et al., 2008) and the scaffold proteins MOB1 and SAV1. Activated LATS then phosphorylates YAP1 and TAZ, triggering 14-3-3–mediated cytoplasmic retention and protein degradation (Zhao et al., 2010; Kim Y. and Jho, 2018; Kim W. and Jho, 2018). Recent reports indicate that the Hippo signaling pathway participates in the innate immune response, and the Hippo signaling pathway is involved in PD-L1-mediated local immunosuppression in tumor patients. (Taha et al., 2018). In addition, YAP can negatively regulate type I IFN response by inhibiting IRF3 transcriptional activity in cells (Wang et al., 2017; Taha et al., 2018). We speculate that the Brucella T4SS effector protein BspF has the potential to alter the modification of intracellular proteins, thereby affecting intracellular Hippo signaling pathway, thus promoting the reproduction of Brucella. Hippo signaling pathway is also a part of immune response, which may also be associated with chronically low immunity in patients with brucellosis.

Analyzing the results of LC-MS/MS, we found that the changes of protein crotonylation mainly include two cases. Firstly, the crotonylation level on a lysine site is up-regulated or down-regulated. Secondly, a crotonylation-free lysine site undergoes crotonylation after expression of BspF. Recognition of modifications by “reader” modules constitutes a major mechanism for epigenetic regulation (Xiong et al., 2016). In the first condition, the up-regulated or down-regulated crotonylation on one lysine site will affect reader recognition of crotonyl, thus changing the physiological process of the cell. In the second case, because the crotonylation on one lysine site, the microdomains polarity and the hydrogen bonding of the protein may be changed, resulting in changes of protein’s spatial structure and function.

From our proteomic data, we found that BspF not only caused up- and downregulation of protein crotonylation, but it also catalyzed the modification of some proteins that did not undergo crotonylation at all in the control group, including Rab9A, RAP1B, ATPIF1, USP7, CAND1, NEDD8, and TRIM38. USP7 (also known as HAUSP) is a ubiquitin-specific protease that can inhibit proteasome degradation and maintain protein stability. USP7 is involved in regulating the cell cycle, apoptosis-related factors, and NF-κB transcriptional activity, through stabilization of NF-κB in the nucleus (Colleran et al., 2013; Palazon-Riquelme et al., 2018). BspF-catalyzed crotonylation of the K327 site of USP7 may alter the structure of the protein, thereby causing it to lose its de-ubiquitination function leading to increased ubiquitination of NF-κB and inhibition of NF-κB transcriptional activity. This means that BspF may be responsible for inhibition of the NF-κB signaling pathway and the consequent reduction of inflammatory responses, which provides the necessary conditions for intracellular survival of Brucella (Colleran et al., 2013). Rab9A belongs to Ras GTPase superfamily, and participates in trans-Golgi network. Rab9A are essential for parasites and virus (Day et al., 2013; Cardoso et al., 2018). BspF-catalyzed crotonylation of Rab9A K4 site may change the function of protein, affecting the transport of Brucella eBCV to the endoplasmic reticulum, thereby promoting the intracellular propagation of Brucella.

We first discovered Brucella effector has de-crotonylase activit. Through proteomics data, we found that the overexpression of BspF in cells changed intracellular protein crotonylation level. Our follow-up experiments can focus on how BspF interacts with other proteins to increase the level of protein modification in the host. Our proteomics data only provides reference data for the modification level of the host protein of Brucella T4SS effector protein BspF during Brucella infection, but there are some differences in expression between over expression of BspF and Brucella infection. Therefore, these differential proteins require further experiments to verify their modification levels and functions. We speculate that changes in cell proteins crotonylation level affect the function and signaling pathways, and enable multifaceted regulation of the host cell, thereby providing the appropriate conditions for growth and reproduction of Brucella. Our research provides new insight for future research on the pathogenic mechanism of Brucella, but further research is needed to fully describe the role of protein crotonylation in Brucella infection.

Data Availability Statement

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD021423.

Author Contributions

ZC and HZ conceived and designed the study. JZ, QD, CD, and XZ participated in data collection and analysis, JZ, HZ, and ZC drafted and revised the manuscript. All authors contributed to the article and approved the submitted version.


This work was supported by National Key Research and Development Program Projects of China (2017YFD0500305), National Science Foundation for Young Scientists of China (31702276), National Key Research and Development Program Projects of China (2017YFD0500901), the National Key Program for Infectious Disease of China (2018ZX10101002-002), the State Key Program of National Natural Science of China (U1808202), NSFC International (regional) cooperation and exchange program (31961143024), Major science and technology projects of Inner Mongolia of China.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary Material

The Supplementary Material for this article can be found online at:

Supplementary Table 1 | Mass spectrometry of histone octamers crotonylation sites.

Supplementary Table 2 | Summary and classification of crotonylated proteins and crotonylated sites, including Crotonylation summary, Up-regulated proteins, Down-regulated proteins and Modification distribution.

Supplementary Table 3 | Functional classification of differential modification sites correspond to protein, including Biological Process (BP), Cellular Component (CC), Molecular Function (MF) and KEGG pathway (pathway).

Supplementary Table 4 | The characteristic sequence of crotonylation site and its enrichment statistics by motif-x.


Al Dahouk S., Jubier-Maurin V., Scholz H. C., Tomaso H., Karges W., Neubauer H., et al. (2008). Quantitative analysis of the intramacrophagic Brucella suis proteome reveals metabolic adaptation to late stage of cellular infection. Proteomics 8, 3862–3870. doi: 10.1002/pmic.200800026

PubMed Abstract | CrossRef Full Text | Google Scholar

Byndloss M. X., Tsolis R. M. (2016). Brucella spp. Virulence Factors and Immunity. Annu. Rev. Anim. Biosci. 4, 111–127. doi: 10.1146/annurev-animal-021815-111326

PubMed Abstract | CrossRef Full Text | Google Scholar

Callus B. A., Verhagen A. M., Vaux D. L. (2006). Association of mammalian sterile twenty kinases, Mst1 and Mst2, with hSalvador via C-terminal coiled-coil domains, leads to its stabilization and phosphorylation. FEBS J. 273, 4264–4276. doi: 10.1111/j.1742-4658.2006.05427.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao W., Bao C., Padalko E., Lowenstein C. J. (2008). Acetylation of mitogen-activated protein kinase phosphatase-1 inhibits Toll-like receptor signaling. J. Exp. Med. 205, 1491–1503. doi: 10.1084/jem.20071728

PubMed Abstract | CrossRef Full Text | Google Scholar

Cardoso R., Wang J. H., Muller J., Rupp S., Leitao A., Hemphill A. (2018). Modulation of cis- and trans- Golgi and the Rab9A-GTPase during infection by Besnoitia besnoiti,Toxoplasma gondii and Neospora caninum. Exp. Parasitol. 187, 75–85. doi: 10.1016/j.exppara.2018.02.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Colleran A., Collins P. E., O’carroll C., Ahmed A., Mao X., Mcmanus B., et al. (2013). Deubiquitination of NF-κB by Ubiquitin-Specific Protease-7 promotes transcription. Proc. Natl. Acad. Sci. U. S. A. 110, 618–623. doi: 10.1073/pnas.1208446110

PubMed Abstract | CrossRef Full Text | Google Scholar

Connolly J. P., Comerci D., Alefantis T. G., Walz A., Quan M., Chafin R., et al. (2006). Proteomic analysis of Brucella abortus cell envelope and identification of immunogenic candidate proteins for vaccine development. Proteomics 6, 3767–3780. doi: 10.1002/pmic.200500730

PubMed Abstract | CrossRef Full Text | Google Scholar

Cui J., Chen Y., Wang H. Y., Wang R. F. (2014). Mechanisms and pathways of innate immune activation and regulation in health and cancer. Hum. Vaccin. Immunother. 10, 3270–3285. doi: 10.4161/21645515.2014.979640

PubMed Abstract | CrossRef Full Text | Google Scholar

Dada O. O., Zhao Y. M., Jaya N., Salas-Solano O. (2017). High-Resolution Capillary Zone Electrophoresis with Mass Spectrometry Peptide Mapping of Therapeutic Proteins: Peptide Recovery and Post-translational Modification Analysis in Monoclonal Antibodies and Antibody-Drug Conjugates. Anal. Chem. 89, 11236–11242. doi: 10.1021/acs.analchem.7b03643

PubMed Abstract | CrossRef Full Text | Google Scholar

Day P. M., Thompson C. D., Schowalter R. M., Lowy D. R., Schiller J. T. (2013). Identification of a Role for the trans-Golgi Network in Human Papillomavirus 16 Pseudovirus Infection. J. Virol. 87, 3862–3870. doi: 10.1128/JVI.03222-12

PubMed Abstract | CrossRef Full Text | Google Scholar

Dehio C., Tsolis R. M. (2017). Type IV Effector Secretion and Subversion of Host Functions by Bartonella and Brucella Species. Curr. Top. Microbiol. Immunol. 413, 269–295. doi: 10.1007/978-3-319-75241-9_11

PubMed Abstract | CrossRef Full Text | Google Scholar

Detilleux P. G., Deyoe B. L., Cheville N. F. (1990). Penetration and intracellular growth of Brucella abortus in nonphagocytic cells in vitro. Infect. Immun. 58, 2320–2328. doi: 10.1128/IAI.58.7.2320-2328.1990

PubMed Abstract | CrossRef Full Text | Google Scholar

Dong H., Zhai G., Chen C., Bai X., Tian S., Hu D., et al. (2019). Protein lysine de-2-hydroxyisobutyrylation by CobB in prokaryotes. Sci. Adv. 5, eaaw6703. doi: 10.1126/sciadv.aaw6703

PubMed Abstract | CrossRef Full Text | Google Scholar

Ke Y., Wang Y., Li W., Chen Z. (2015). Type IV secretion system of Brucella spp. and its effectors. Front. Cell Infect. Microbiol. 13, 5. doi: 10.3389/fcimb.2015.00072

CrossRef Full Text | Google Scholar

Kim W., Jho E. H. (2018). The history and regulatory mechanism of the Hippo pathway. BMB Rep. 51, 106–118. doi: 10.5483/BMBRep.2018.51.3.022

PubMed Abstract | CrossRef Full Text | Google Scholar

Kim Y., Jho E. H. (2018). Regulation of the Hippo signaling pathway by ubiquitin modification. BMB Rep. 51, 143–150. doi: 10.5483/BMBRep.2018.51.3.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Kollenstart L., De Groot A. J. L., Janssen G. M. C., Cheng X., Vreeken K., Martino F., et al. (2019). Gcn5 and Esa1 function as histone crotonyltransferases to regulate crotonylation-dependent transcription. J. Biol. Chem. 294, 20122–20134. doi: 10.1074/jbc.RA119.010302

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu S., Cai X., Wu J., Cong Q., Chen X., Li T., et al. (2015). Phosphorylation of innate immune adaptor proteins MAVS, STING, and TRIF induces IRF3 activation. Science 347, aaa2630. doi: 10.1126/science.aaa2630

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu J., Qian C., Cao X. (2016). Post-Translational Modification Control of Innate Immunity. Immunity 45, 15–30. doi: 10.1016/j.immuni.2016.06.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Mann M., Jensen O. N. (2003). Proteomic analysis of post-translational modifications. Nat. Biotechnol. 21, 255–261. doi: 10.1038/nbt0303-255

PubMed Abstract | CrossRef Full Text | Google Scholar

Montellier E., Rousseaux S., Zhao Y., Khochbin S. (2012). Histone crotonylation specifically marks the haploid male germ cell gene expression program: post-meiotic male-specific gene expression. Bioessays 34, 187–193. doi: 10.1002/bies.201100141

PubMed Abstract | CrossRef Full Text | Google Scholar

Myeni S., Child R., Ng T. W., Kupko J. J., Wehrly T. D., Porcella S. F., et al. (2013). Brucella Modulates Secretory Trafficking via Multiple Type IV Secretion Effector Proteins. PLoS Pathog. 9 (8), e1003556. doi: 10.1371/journal.ppat.1003556

PubMed Abstract | CrossRef Full Text | Google Scholar

Napetschnig J., Wu H. (2013). Molecular basis of NF-kappaB signaling. Annu. Rev. Biophys. 42, 443–468. doi: 10.1146/annurev-biophys-083012-130338

PubMed Abstract | CrossRef Full Text | Google Scholar

Naroeni A., Porte F. (2002). Role of cholesterol and the ganglioside GM(1) in entry and short-term survival of Brucella suis in murine macrophages. Infect. Immun. 70, 1640–1644. doi: 10.1128/IAI.70.3.1640-1644.2002

PubMed Abstract | CrossRef Full Text | Google Scholar

Palazon-Riquelme P., Worboys J. D., Green J., Valera A., Martin-Sanchez F., Pellegrini C., et al. (2018). USP7 and USP47 deubiquitinases regulate NLRP3 inflammasome activation. EMBO Rep. 19 (10), e44766. doi: 10.15252/embr.201744766

PubMed Abstract | CrossRef Full Text | Google Scholar

Pizarro-Cerda J., Moreno E., Sanguedolce V., Mege J. L., Gorvel J. P. (1998). Virulent Brucella abortus prevents lysosome fusion and is distributed within autophagosome-like compartments. Infect. Immun. 66, 2387–2392. doi: 10.1128/IAI.66.5.2387-2392.1998

PubMed Abstract | CrossRef Full Text | Google Scholar

Praskova M., Xia F., Avruch J. (2008). MOBKL1A/MOBKL1B phosphorylation by MST1 and MST2 inhibits cell proliferation. Curr. Biol. 18, 311–321. doi: 10.1016/j.cub.2008.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Ruiz-Andres O., Sanchez-Nino M. D., Cannata-Ortiz P., Ruiz-Ortega M., Egido J., Ortiz A., et al. (2016). Histone lysine crotonylation during acute kidney injury in mice. Dis. Models Mech. 9, 633–645. doi: 10.1242/dmm.024455

CrossRef Full Text | Google Scholar

Sabari B. R., Tang Z. Y., Huang H., Yong-Gonzalez V., Molina H., Kong H. E., et al. (2018). Intracellular Crotonyl-CoA Stimulates Transcription through p300-Catalyzed Histone Crotonylation (vol 58, pg 203, 2015). Mol. Cell 69 (3), 533. doi: 10.1016/j.molcel.2018.01.013

CrossRef Full Text | Google Scholar

Sun C. F., Xu W. F., Zhao Q. W., Luo S., Chen X. A., Li Y. Q., et al. (2020). Crotonylation of key metabolic enzymes regulates carbon catabolite repression in Streptomyces roseosporus. Commun. Biol. 3, 192. doi: 10.1038/s42003-020-0924-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Taha Z., Janse Van Rensburg H. J., Yang X. (2018). The Hippo Pathway: Immunity and Cancer. Cancers (Basel) 10 (4), 94. doi: 10.3390/cancers10040094

CrossRef Full Text | Google Scholar

Tan M. J., Luo H., Lee S., Jin F. L., Yang J. S., Montellier E., et al. (2011). Identification of 67 Histone Marks and Histone Lysine Crotonylation as a New Type of Histone Modification. Cell 146, 1015–1027. doi: 10.1016/j.cell.2011.08.008

CrossRef Full Text | Google Scholar

Tanaka Y., Chen Z. J. (2012). STING specifies IRF3 phosphorylation by TBK1 in the cytosolic DNA signaling pathway. Sci. Signal 5 (124), ra20. doi: 10.1126/scisignal.200252110.1126/scisignal.2002521

PubMed Abstract | CrossRef Full Text | Google Scholar

Tokunaga F., Sakata S., Saeki Y., Satomi Y., Kirisako T., Kamei K., et al. (2009). Involvement of linear polyubiquitylation of NEMO in NF-kappaB activation. Nat. Cell Biol. 11, 123–132. doi: 10.1038/ncb1821

PubMed Abstract | CrossRef Full Text | Google Scholar

Wagner M. A., Eschenbrenner M., Horn T. A., Kraycer J. A., Mujer C. V., Hagius S., et al. (2002). Global analysis of the Brucella melitensis proteome: Identification of proteins expressed in laboratory-grown culture. Proteomics 2, 1047–1060. doi: 10.1002/1615-9861(200208)2:8<1047::AID-PROT1047>3.0.CO;2-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang S., Xie F., Chu F., Zhang Z., Yang B., Dai T., et al. (2017). YAP antagonizes innate antiviral immunity and is targeted for lysosomal degradation through IKKvarepsilon-mediated phosphorylation. Nat. Immunol. 18, 733–743. doi: 10.1038/ni.3744

PubMed Abstract | CrossRef Full Text | Google Scholar

Weraarpachai W., Antonicka H., Sasarman F., Seeger J., Schrank B., Kolesar J. E., et al. (2009). Mutation in TACO1, encoding a translational activator of COX I, results in cytochrome c oxidase deficiency and late-onset Leigh syndrome. Nat. Genet. 41, 833–837. doi: 10.1038/ng.390

PubMed Abstract | CrossRef Full Text | Google Scholar

Weterman M. A., Van Groningen J. J., Tertoolen L., Van Kessel A. G. (2001). Impairment of MAD2B-PRCC interaction in mitotic checkpoint defective t(X;1)-positive renal cell carcinomas. Proc. Natl. Acad. Sci. U. S. A. 98, 13808–13813. doi: 10.1073/pnas.241304198

PubMed Abstract | CrossRef Full Text | Google Scholar

Wisniewski J. R., Zougman A., Mann M. (2008). Nepsilon-formylation of lysine is a widespread post-translational modification of nuclear proteins occurring at residues involved in regulation of chromatin function. Nucleic Acids Res. 36, 570–577. doi: 10.1093/nar/gkm1057

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiong X., Panchenko T., Yang S., Zhao S., Yan P., Zhang W., et al. (2016). Selective recognition of histone crotonylation by double PHD fingers of MOZ and DPF2. Nat. Chem. Biol. 12, 1111–1118. doi: 10.1038/nchembio.2218

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu W., Wan J., Zhan J., Li X., He H., Shi Z., et al. (2017). Global profiling of crotonylation on non-histone proteins. Cell Res. 27, 946–949. doi: 10.1038/cr.2017.60

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang Z. H., Tan M. J., Xie Z. Y., Dai L. Z., Chen Y., Zhao Y. M. (2011). Identification of lysine succinylation as a new post-translational modification. Nat. Chem. Biol. 7, 58–63. doi: 10.1038/nchembio.495

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao B., Li L., Tumaneng K., Wang C. Y., Guan K. L. (2010). A coordinated phosphorylation by Lats and CK1 regulates YAP stability through SCF(beta-TRCP). Genes Dev. 24, 72–85. doi: 10.1101/gad.1843810

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhong Z., Yu S., Wang X., Dong S., Xu J., Wang Y., et al. (2013). Human brucellosis in the People’s Republic of China during 2005-2010. Int. J. Infect. Dis. 17 (5), e289–e292. doi: 10.1016/j.ijid.2012.12.030

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Brucella, T4SS, effector, BspF, lysine crotonylation, crotonyltransferase

Citation: Zhu J, Dong Q, Dong C, Zhang X, Zhang H and Chen Z (2021) Global Lysine Crotonylation Alterations of Host Cell Proteins Caused by Brucella Effector BspF. Front. Cell. Infect. Microbiol. 10:603457. doi: 10.3389/fcimb.2020.603457

Received: 11 September 2020; Accepted: 19 November 2020;
Published: 08 January 2021.

Edited by:

Xihui Shen, Northwest A and F University, China

Reviewed by:

Mingxing Tian, Chinese Academy of Agricultural Sciences (CAAS), China
María Inés Marchesini, CONICET Institute of Biotechnological Research (IIB-INTECH), Argentina
Qisheng Peng, Jilin University, China

Copyright © 2021 Zhu, Dong, Dong, Zhang, Zhang and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zeliang Chen,; Huan Zhang,

These authors have contributed equally to this work