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Background Brucella spp. Are Gram-negative, facultative intracellular pathogens that cause brucellosis in both humans and animals. Abortus vaccine strain 104 M is the only vaccine available in China for the prevention of brucellosis in humans. Although the B. Abortus 104 M genome has been fully sequenced, the current genome annotations are not yet complete. In addition, the main mechanisms underpinning its residual toxicity and vaccine-induced immune protection have yet to be elucidated. Mapping the proteome of B.

Abortus 104 M will help to improve genome annotation quality, thereby facilitating a greater understanding of its biology. Results In this study, we utilized a proteogenomic approach that combined subcellular fractionation and peptide fractionation to perform a whole-proteome analysis and genome reannotation of B. Abortus 104 M using high-resolution mass spectrometry. In total, 1,729 proteins (56.3% of 3,072) including 218 hypothetical proteins were identified using the culture conditions that were employed this study. The annotations of the B. Abortus 104 M genome were also refined following identification and validation by reverse transcription-PCR. In addition, 14 pivotal virulence factors and 17 known protective antigens known to be involved in residual toxicity and immune protection were confirmed at the protein level following induction by the 104 M vaccine.

Moreover, a further insight into the cell biology of multichromosomal bacteria was obtained following the elucidation of differences in protein expression levels between the small and large chromosomes. Conclusions The work presented in this report used a proteogenomic approach to perform whole-proteome analysis and genome reannotation in B. Abortus 104 M; this work helped to improve genome annotation quality. Our analysis of virulence factors, protective antigens and other protein effectors provided the basis for further research to elucidate the mechanisms of residual toxicity and immune protection induced by the 104 M vaccine. Finally, the potential link between replication dynamics, gene function, and protein expression levels in this multichromosomal bacterium was detailed. 2-DE Two dimensional gel electrophoresis COG Clusters of orthologous groups FDR False discovery rate GO Gene ontology GRAVY Grand average of hydropathy HPLC High performance liquid chromatography LTQ Linear trap quadrupole MS Mass spectrometry MS/MS Tandem mass spectrometry MW Molecular weights NSAF normalized spectral abundance factors ORF Open reading frame PAGE Polyacrylamide gel electrophoresis pI Isoelectric point PSMs Peptide spectrum matches RT-PCR Reverse transcription-PCR SCX Strong cation exchange TIS Translation initiation site TMH Transmembrane helix TSB Tryptic soy broth. Brucella spp.

Are Gram-negative, intracellular bacterial pathogens that can cause brucellosis in both humans and animals [ ]. As one of the most common zoonotic diseases, brucellosis is a significant economic and public health problem worldwide with more than 500,000 new cases reported annually [ ]. Melitensis, and B. Suis are the most pathogenic strains in humans and have been identified as potential bio-terrorism agents [ ]. At present, vaccination is the most effective approach for preventing and controlling brucellosis [, ]. Abortus 104 M vaccine strain is the only vaccine that has been widely used in China for the control and prevention of human brucellosis since its approval by the Chinese Food and Drug Administration in 1965 [ ].

This vaccine strain was isolated from the placenta of a sick cow in a former Soviet republic. The strain exhibits strong immunogenicity with low and stable residual toxicity in experimental animals [ ]. Although the B.

Abortus 104 M genome has been fully sequenced (CP009625-CP009626), it was annotated using in silico methods with many unannotated genes and errors. Furthermore, a large number of hypothetical proteins (620 of 3,072) have yet to be annotated, thereby limiting our understanding of the biological processes pertaining to this strain [ ]. Proteogenomics is an important tool for integrating protein-level information into the genome annotation process, thereby greatly improving genome annotation quality [ ]. Therefore, a proteogenomics study is required to both validate the B. Abortus 104 M genome annotation and re-annotate mis-annotated novel genes.

The underlying molecular and physiological mechanisms that cause possible residual toxicity and immune protection following 104 M vaccine induction remain to be elucidated. In our preliminary work, we have determined the whole-genome sequence of 104 M and conducted a comparative analysis against its homologous virulent strain A13334 [ ]. It revealed highly similar genome structures but a set of genes missing between 104 M and A13334 that related to virulence alteration.

This observation suggests that the remaining virulence associated genes in the 104 M genome may lead to the residual toxicity associated with the 104 M vaccine. We also observed a number of protective antigens that can promote both humoral and cellular immunity in the 104 M genome. The occurrence of these antigens is likely to result in the enhancement of host defense mechanisms pertaining to bacterial infections. The identification of these pivotal virulence factors and protective antigens at the protein level is likely to be beneficial in the elucidation of mechanisms that underpin residual toxicity and immune protection following induction by the 104 M vaccine.

To this end, we used a proteogenomics approach that combined subcellular fractionation and peptide fractionation to perform whole-proteome analysis and genome reannotation in B. Abortus 104 M. Virulence factors, known protective antigens and other protein effectors that are critical for bacterial virulence and vaccine protection were identified at the protein level.

Moreover, differences in protein expression levels between the small and large chromosomes in this multichromosomal bacterium were analyzed. This study presents a comprehensive B. Abortus 104 M proteome analysis while also providing a platform to aid in the understanding of the molecular mechanisms pertaining to the 104 M vaccine. Results and discussion. Proteogenomic strategy for the analysis of B. Abortus 104 M This study incorporated a genome-wide protein identification survey of B.

Abortus 104 M using in vitro culture conditions, thereby facilitating refinement of previous genome annotations. Traditional approaches to proteomics analyses of B. Abortus based on two dimensional gel electrophoresis (2-DE) and high performance liquid chromatography (HPLC) coupled with mass spectrometry (MS) have proved successful; however, hydrophobic and low abundance proteins are under-represented using this approach [,,,,, ].

To enhance coverage of the expressed genome, different strategies for subcellular and peptide fractionation were combined with subsequent LC-tandem mass spectrometry (MS/MS) analysis to resolve B. Abortus proteins for global analysis [ ]. In the present study, we performed subcellular fractionation prior to protein extraction to reduce interference.

Whole cell protein and membrane protein extracts were prepared for strain 104 M. Peptide fractionation prior to analysis is an alternative method that achieves higher proteome coverage. Complexity reduction was achieved by SDS-polyacrylamide gel electrophoresis (PAGE) and strong cation exchange (SCX) HPLC separation [ ]. In total, 90 samples were generated and subjected to LC-MS/MS analysis using a linear trap quadrupole (LTQ) Obitrap Velos mass spectrometer. The workflow of this study is summarized in Fig.. The raw MS data were searched against two databases: (i) a UniProt protein database (UP000064067) and (ii) a 6 F translated genome database of B. Abortus 104 M (Additional file: Table S1) [ ].

The search was conducted using SearchGUI and required four different search algorithms (X!Tandem, MS-GF+, Comet and PeptideShaker). Peptides and proteins were inferred from the spectrum identification results using PeptideShaker. Peptide spectrum matches (PSMs), peptides and proteins were validated at a 1.0% false discovery rate (FDR) threshold estimated using the decoy hit distribution (Additional file: Table S2-S4). The distribution of precursor mass deviations and the identified peptides that were observed following MS analysis are presented in Additional file: Figure S1. 1 Experimental identification and bioinformatics analysis workflow of the proteogenomics study. Whole cell protein and membrane protein extracts were prepared from B. Abortus 104 M cultures grown to exponential phase.

Complexity reduction was achieved by SDS-PAGE and SCX HPLC separation. After protein extraction and pre-fractionation, enzymatically digested proteins or peptides were analyzed by LC-MS/MS. All spectra were searched against the six-frame (6 F) database and the UniProt database by SearchGUI.

Identified peptides were mapped to the 104 M genome and annotation was refined at three levels: (i) confirmation of the existing open reading frame (ORF) models; (ii) refinement of the existing ORF models; and (iii) identification of novel ORF models. Subsequently, the protein physical chemical property and function were analyzed Analysis of B. Abortus 104 M protein expression. We mapped the unique peptides identified in this study to the B. Abortus 104 M UniProt database (3,072 proteins), and only proteins that were identified by at least two unique peptides were confirmed.

A total of 1,729 proteins (1,224 proteins encoded by chromosome 1 and 505 encoded by chromosome 2) were identified, covering approximately 56.3% of the predicted proteome (Fig., Additional file: Table S2). Approximately 85.1% (2.79 Mb) of the Brucella genome is protein-coding with annotations in the 104 M database, and the expressed genome corresponded to 63.8% (1.78 Mb) of the annotated protein-coding regions. Each identified protein was represented with an average sequence coverage of 34.9% (Additional file: Figure S1). 2 Overview of B. Abortus 104 M protein expression.

A Overview of the proteomic evidence for predicted protein-coding genes in the B. Abortus 104 M genome. B Venn diagram of proteins identified by four different fractionation methods: whole SDS-PAGE (whole cell protein with SDS-PAGE fractionation), whole SCX (whole cell protein digestion with SCX fractionation), membrane SDS-PAGE (membrane protein with SDS-PAGE fractionation) and membrane SCX (membrane protein digestion with SCX fractionation).

C Proteome landscape of B. Abortus 104 M. Peptides were blasted against the 104 M genome using Circos.

The concentric circles from the center to the periphery represent (i) B. Abortus 104 M chromosomes, (ii) GC content, (iii) orphan peptides identified only in this study, (iv) total peptides identified in this study, and (v) clusters of orthologous groups (COG) annotation of proteins encoded by 104 M genome The proteins were identified following in-gel fractionation (SDS-PAGE), in-solution fractionation (SCX), whole cell protein fractionation and membrane protein fractionation (Fig.

Many of the proteins that were uniquely identified in the membrane fractions had relatively extreme grand average of hydropathy (GRAVY) scores (Additional file: Figure S2). Large proteins were more likely to be identified after SCX separation than by SDS-PAGE and approximately all unique proteins with molecular weights (MWs) greater than 90 kDa were identified by SCX (Additional file: Figure S2). This further emphasizes the advantage of membrane fractionation and SCX for protein separation. Lamontagne et al. Identified 621 proteins in preliminary work using three protein separation approaches: SDS-PAGE, isoelectric focusing, and off-line 2-D peptide chromatography [ ].

In this study, a combination of subcellular fractionation and peptide fractionation increased the number of membrane and cytoplasmic proteins identifiable by mass spectrometry; This approach provided a significantly higher degree of discrimination and enhanced coverage of the expressed genome. Physical and chemical property distributions of identified proteins. The proteins identified in this study covered a wide range of MW and isoelectric point (pI) values (Fig. The theoretical MW distribution for the identified proteins ranged from 4.7 kDa (Entericidin EcnAB protein) to 320.4 kDa (NdvB protein). Moreover, approximately 85.0% (1,469 of 1,729) of all the identified proteins had MWs in the range 10–60 kDa (Fig. The pI values of the identified proteins ranged from 3.67 to 11.88.

These values are similar to those observed for the total proteome (Fig. Approximately 67.0% of the proteins identified in the 104 M database had pI values between 6 and 8. Eleven proteins with high pI scores (≥11) and 20 with high MW (≥120 kDa) were beyond the general separation limits of 2-DE. 3 Distribution of the predicted and identified proteins in the B. Abortus 104 M genome according to their molecular function. A Distribution of pI values and MW ranges. Distribution of identified protein b MW, c pI, d GRAVY, e TMH, f subcellular localization and g functional classification of proteins identified according to clusters of orthologous groups (COGs).

Annotated and identified proteins are shown in blue and red, respectively The GRAVY values for all of the identifications (average −0.012) were used to evaluate protein hydrophilicity and hydrophobicity (Fig. A total of 58 proteins were identified with high GRAVY scores (≥0.6); such proteins are so hydrophobic that they are rarely detected by 2-DE due to their susceptibility to precipitation during isoelectric focusing.

A total of 301 potential membrane proteins with at least one transmembrane helix (TMH) were identified (Fig. Among these, the number of predicted TMHs ranged from one to 25. The subcellular localization of identified proteins was predicted using Cello2.5 (Fig. Two hundred and eighty-three proteins (16.4%) were predicted to be localized to the cytoplasmic membrane and 1,007 (58.2%) of the proteins were identified as cytoplasmic, which is consistent with findings from previous studies [ ].

Each identified protein was classified based on clusters of orthologous groups (COG) and associated with a functional category (Fig. Among the 1,729 identified proteins, 1,570 were annotated in the COG database.

Many of the identified proteins were involved in amino acid transport and metabolism, translation, ribosomal structure and biogenesis, energy production and energy conversion. All of these categories contain key functional proteins that are important for cell growth and reproduction. Identification of virulence factors and function analysis. Brucella is unusual because it does not harbor typical virulence factors. Instead, its virulence appears to be an integrated aspect of its physiology, exhibiting a tendency to invade and persist in the human host through inhibition of programmed cell death [, ]. As previously stated, the genomic analysis of B.

Abortus 104 M revealed the presence of some virulence associated genes in the 104 M genome which may be related to the vaccine residual toxicity. Samsung S5230 Manual there. In this study, we confirmed the presence of 104 M-specific virulence factors of 104 M at the protein level following cell culture. The majority of these factors were observed to be involved in intracellular survival, two-component regulatory systems, and the VirB secretion or transport system (Table ) [ ].

For example, Brucella cyclic β-1,2-glucan (CβG) is a key virulence factor that interferes with the maturation of the Brucella-containing vacuole and consequently, prevents its fusion with lysosomes [ ]. The enzyme responsible for the synthesis of CβG (Cyclic β-1,2-glucan synthase protein, Cgs) was represented by 54 peptides. Similarly, the WbkA and WbkC proteins, which were represented by six and 14 peptides, respectively, are involved in the synthesis of the O-polysaccharide and its translocation to the periplasm [ ]. In addition, the BvrR/BvrS sensory-regulatory system, which plays an important role in the stealth program, was represented by 23 and eight peptides, respectively [ ]. Moreover, T4SS, which is encoded by the Virb operon (Virb8, represented by three peptides), is also a vitally important factor used for the translocation of virulence factors into mammalian cells and is required for Brucella trafficking diversion [ ]. Finally, in total 14 pivotal virulence factors in 104 M were identified at the protein level following cell culture. We speculate that the identification of these factors will help us to elucidate the mechanisms that underpin residual toxicity pertaining to the 104 M vaccine.

Since a large number of hypothetical proteins (620 of 3,072) remain to be annotated, our understanding of the biological processes associated with this strain is limited. In this study, 218 hypothetical proteins were identified in the proteomics analysis of 104 M (Additional file: Table S5). Among these, 69 hypothetical proteins were allocated gene ontology (GO) terms as assigned by Blast2GO (Fig. Many of the identified hypothetical proteins were involved in cellular metabolic process with catalytic activity. In addition, 25 of the hypothetical proteins (with scores higher than the threshold of 0.7) were identified as “probable antigens” following alignment-independent prediction by the VaxiJen server [ ]. Thirty-two of the hypothetical proteins (with scores higher than the threshold of 0.6) were identified as “virulent proteins” by the MP3 tool [ ].

Distribution of the main “probable antigens” and “virulent proteins” among the hypothetical proteins are shown in Fig.. Twenty-one unique peptides were mapped to a hypothetical protein (A0A0M4S069) re-annotated as “Antifreeze protein” in 104 M. The “Antifreeze protein” has both a high VaxiJen score and MP3 score and is likely be involved in antigenicity and virulence (Additional file: Table S5). In summary, 218 hypothetical proteins of B. Abortus 104 M that were functionally uncharacterized in preliminary studies were confirmed at the protein level during this study.

In addition, several of these hypothetical proteins were predicted to be “probable antigens” or “virulent proteins”, which may have some influences on the bacterial virulence and vaccine protection. The conservation of the new virulence factors and protective antigens were assessed at both the nucleotide and predicted amino acid levels using the genome sequences of 18 different B. Abortus strains [ ]. Overall, these analyses demonstrate that thus the newly identified virulence factors, and protective antigens were well conserved among the analyzed isolates. All spectra were searched against the 6 F database. The detected peptides were further analyzed via the Visual Exploration and Statistics to Promote Annotation (VESPA) tool and were then mapped to the B. Abortus 104 M genome [ ].

Of these, 74 peptides were orphans that did not map to any annotation in the 104 M genome (Additional file: Table S6). Based on our analysis, we identified six novel ORFs and modified three existing ORF models (Table ). All of the corrections and identifications were assigned to at least two unique orphan peptides.

Blast analysis of these novel annotation ORFs across related species revealed the presence of orthologous for all of the novel unannotated ORFs; the analysis also revealed errors in other B. Abortus strains [ ]. Proteogenomic Analysis Group Six-frame Accessions Description Protein Length Identified Peptides Novel ORFs NZ_CP009625_614 30S ribosomal protein S1 582 24 NZ_CP0 Aldehyde dehydrogenase 301 3 NZ_CP03 Transporter 287 2 NZ_CP08 Hypothetical protein 157 41 NZ_CP04 Phosphoglucomutase 568 6 NZ_CP02 Glycerol-3-phosphate dehydrogenase 218 2 Annotation errors NZ_CP04 Peptide chain release factor 2 356 12 NZ_CP07 Cytoplasmic protein 247 16 NZ_CP09 Virulence protein 479 14.

Among the novel ORFs identified, two unique peptides were mapped to a novel ORF (NZ_CP0) located in the intergenic region between two annotated ORFs (Additional file: Figure S3A). This novel ORF contains an Aldedh PFAM structural domain that shares high homology with the aldehyde dehydrogenase protein (A0A0M1WD82) in B. Reverse transcription-PCR (RT-PCR) analysis confirmed that this progenitor ORF is transcribed; suggesting that our identification of novel ORF models was reliable (Fig. We also identified some erroneously assigned ORF translation initiation sites (TIS). For example, four peptides were first observed to match the upstream region of an existing ORF (NZ_CP09) that has previously been shown to contain a VirJ PFAM structural domain (Additional file: Figure S3B).

We found an additional 32 amino acids upstream of the protein start site compared with the annotated genome. Validation of these upstream regions by RT-PCR allowed us to annotate a new accurate start site (Fig.

We analyzed protein TIS by probing N-terminal acetylation modification. The modification directly marked the TIS of protein-coding genes [ ]. Based on peptides identified at 1% FDR, and their upstream codons, we confirmed the annotated TIS for 29 genes. List of N-terminal acetylation identified in this study are presented in Additional file: Table S7. 5 Refinement of B.

Abortus 104 M genome annotation validated by RT-PCR. A Novel ORF models and b annotation errors of B. Abortus 104 M were detected and validated at the transcriptional level by RT-PCR.

For the PCR amplification: template, novel ORF models and errors cDNA; negative control, RNAs; positive control, groEL cDNA In this study, we integrated the B. Abortus 104 M proteomics information with genome annotation data to identify novel ORFs and validate existing modified ORF models.

These observations showed that the identified protein coding genes of the B. Abortus 104 M genome are well annotated with only six novel ORFs and three existing ORF model errors.

Exploring the biological functions of these novel ORFs are under investigation. The refinement of B. Abortus 104 M genome annotation in this study improved its genome annotation quality. We also confirmed the annotated TIS for 29 genes through N-terminal acetylation analysis. Further research pertaining to N-terminal peptides from other internal digested peptides is required to identify N-terminally modified peptides and gain more information about TISs in B.

Differential protein expression between the two bacterial chromosomes B. Abortus is a multichromosome bacterium, with the associated genome harboring two replicons of unequal sizes [ ].

Abortus, the large chromosome (Chr I, 2.1 Mb) encodes for most of the house-keeping functions, while the small chromosome (Chr II, 1.2 Mb) contains genes mostly of unknown origin and function [ ]. The protein expression from multipartite genomes has been poorly investigated. Protein expression and subsequent stability requires a series of linked processes including transcription, processing and degradation. Protein abundance reflects the dynamic balance of these processes and, therefore, may has a positive correlation with expression levels [ ]. In general, an increase in protein abundance typically results in an increase in the number of proteolytic peptides, and vice versa. A resultant increase in the number of (tryptic) digests will usually result in an increase in protein sequence coverage, identified unique peptides, and identified total MS/MS spectra (spectral count) for each protein [ ]. The protein abundance associated with 1,729 proteins relative to their chromosomal location in B.

Abortus 104 M were analyzed using identified unique peptides and PSMs of each protein. The Wilcoxon-Rank-Sum test was applied to determine statistical significance.

According to our results, the average identified peptide number and PSM number was higher for Chr I compared with Chr II (peptide number 14.03 >11.81, Wilcoxon-Rank-Sum test p-value 101.6, Wilcoxon-Rank-Sum test p-value. 6 Large Chromosome and Small Chromosome of B. Abortus 104 M exhibit differences in protein expression. A Comparison of protein abundance (peptide numbers and PSM numbers) between the small and large chromosomes of B.

Abortus 104 M. B Range of protein abundance expressed by the small and large chromosomes listed in NSAF order (highest level at the top of the list).

C Model of the B. Abortus cell cycle. Replication of Chr I is initiated before Chr II.

D Distribution of COGs within two different chromosomes of the B. Abortus 104 M genome Since larger proteins would be expected to generate more peptides and, therefore, more spectral counts than smaller proteins, we used normalized spectral abundance factors (NSAF) for comparison of relative quantitation [ ]. The NSAF values for each detected protein are presented in Additional file: Table S2. After comparing protein abundance between the two chromosomes using the NSAF values, we observed that the relative abundance of proteins pertaining to Chr I was generally higher compared with Chr II (6.364 × 10 −4 >4.38 × 10 −4, Wilcoxon-Rank-Sum test p-value. Brucellosis is a significant economic and public health problem worldwide. Abortus 104 M vaccine strain has played an important role in the prevention and control of brucellosis in China.

In this study, we used a proteogenomics approach that combined subcellular fractionation and peptide fractionation to perform whole-proteome analysis and genome reannotation in B. Abortus 104 M. In total, 1,729 proteins (56.3% of 3072), including 218 hypothetical proteins, were identified under the culture conditions given in this study. As part of this analysis, 14 pivotal virulence factors, 17 known protective antigens and other important protein effectors that are related to bacterial virulence and vaccine protection were confirmed. These data represents a dataset of proteins identified following growth of 104 M under conventional culture conditions. It is possible that some coding sequences did not express under the conditions chosen in this study. Analysis of differential proteome expression patterns of B.

Abortus in other culture conditions can serve as a starting point in the discovery of protein determinants associated with pathogen adaptation and pathogenesis. These differentially expressed genes potentially promote pathogen adaptation to more complex in vivo environments and, therefore, require further study. In this study, we also validated the B. Abortus 104 M genome annotation and re-annotated mis-annotated ORFs; validation improved the quality of the genome annotation. Six novel ORFs and three modified existing ORFs were also identified as part of this study. We confirmed the annotated TIS for 29 genes through N-terminal acetylation analysis.

Furthermore, after comparing protein abundance using NSAF values, we observed differential protein expression between the two bacterial chromosomes in in B. Abortus 104 M. The potential reason for this differential expression may be related to differences in the replication dynamics and gene function pertaining to the two chromosomes; further work is required to verify this hypothesis. In conclusion, this study represents a comprehensive proteogenomics analysis of B. Abortus 104 M and is likely to improve our understanding of the mechanisms that underpin residual toxicity and vaccine-induced immune protection.

Cell culture and protein extraction The 104 M strain was grown in tryptic soy broth (TSB) and harvested in the early exponential phase. Whole cell protein samples were prepared as described previously with some modifications [ ].

Briefly, cells harvested by centrifugation (7,000 × g, 15 min at 4 °C) were washed followed by resuspension in lysis buffer and disruption by ultra-sonication (25% amplitude, 15 min at 0 °C). The resultant suspension was centrifuged (40,000 × g, 30 min at 18 °C) and the protein concentrations in the collected supernatants were measured using a BCA protein assay kit (Thermo Fischer Scientific, Waltham, USA). Total membrane protein samples were also prepared using Triton X-114 phase-separation as described previously [ ]. In brief, harvested cells were lysed by bead beating and then centrifuged (7,000 × g, 15 min at 4 °C) to remove insoluble material. Triton X-114 (2% v/v concentration) was added to the supernatant and then stirred (10 min at 4 °C) to obtain the protein extract in a single phase. This mixture was then centrifuged (15,000 × g, 10 min at 4 °C) to remove residual insoluble matter and incubated at 37 °C for 10 min.

Subsequently, the solution was separated into upper (aqueous) and lower (detergent) phases. The detergent phase was collected and proteins were precipitated by acetone. Protein samples were stored at −80 °C for further analysis. Protein pre-fractionation and in-gel proteolytic digestion Whole cell protein and membrane protein extracts were resolved by 12% SDS polyacrylamide gel electrophoresis, stained with Coomassie blue R250 and excised into gel slices, which were then subjected to an in-gel tryptic digestion protocol [ ]. In brief, protein-containing lanes were excised from the gels based on molecular weight and local protein amount. Each band was placed into an Eppendorf tube and destained with 30% acetonitrile and 35 mM ammonium bicarbonate until colorless.

Gel pieces were treated with pure acetonitrile and dried under vacuum. Sufficient ammonium bicarbonate (at a final concentration of 50 mM) was added to each tube to cover the gel pieces. Trypsin was subsequently added and the tubes were placed on ice for 40 min. All tubes were then incubated at 37 °C for 12 h and centrifuged (12,000 × g, 1 min). Peptides were extracted from each supernatant as follows: 50 μl extraction buffer (5% formic acid, 50% acetonitrile) was added and the resultant mixture was centrifuged (12,000 × g, 1 min).

The Fall Last Days Of Gaia Patch Framingham. Following incubation for 4 min at room temperature, all supernatants were collected into new tubes. Acetonitrile (100%) was added to each tube and these mixtures were mixed by vortexing for 20 min. Following centrifugation (12,000 × g, 1 min), the resultant mixtures were incubated for 4 min at room temperature; the supernatants were subsequently collected.

The resultant peptides were dried under vacuum and stored at −80 °C until further use. In-solution proteolytic digestion and peptide pre-fractionation Whole cell protein and membrane protein extracts were reduced (20 min at 25 °C) in 1 mM dithiothreitol and then alkylated in 5.5 mM iodoacetamide (15 min at 25 °C in the dark) [ ]. Trypsin was added (1:50, w/w) and proteins were digested in solution overnight before samples were separated by SCX performed on a Dionex UltiMate 3000 (Thermo Fischer Scientific). Tryptic peptides were loaded onto a PolySULFOETHYL A (PolyLC, Columbia, MD, USA) column and eluted with a linear gradient using ACN/potassium phosphate buffers. After the elution, flow-through fractions were collected into fresh Eppendorf tubes. Adjacent fractions were desalted by C18 reversed-phase spin columns, separated into aliquots containing 150 μg peptides, dried under vacuum and stored at −80 °C until further use. LC-MS/MS analysis The nanoAcquity Ultra Performance LC system (Waters Corporation, Milford, USA) was used for peptide separation equipped with a C18 reversed-phase microcapillary trapping (Maisch, Ammerbuch-Entringen, Germany) as described previously [ ].

A total of 90 samples (30 samples conducted in triplicate) were loaded and eluted for 40 min using a 5–40% CAN fraction-optimized nonlinear gradient in 0.1% formic acid. Eluted peptides were analyzed using a LTQ Obitrap Velos mass spectrometer (Thermo Fisher Scientific) as previously described [ ]. The eluted peptides were electrosprayed with a distally applied spray voltage of 2.0 kV. The mass spectrometry analysis was carried out in a data-dependent manner. Survey scans were performed at a resolution of 30,000 at target values of 1,000,000 ions in the Orbitrap analyzer with maximum allowed fill times of 150 ms over a mass range of 300–1,600 m/z. Finally, the 20 most intense precursor ions were chosen for MS/MS fragmentation by collision-induced fragmentation. The normalized collision energy for the MS/MS was set to 30%, and the transfer tube temperature was maintained at 220 °C.

Exclusion of precursor ion masses over a time window of 30 s was used to suppress repeated fragmentation of peaks. Database construction and data processing The protein database used for MS/MS searches was constructed from the UniProt entries for B. Abortus 104 M and comprised of 3,072 proteins.

A six reading frame (6 F) database was constructed based on all six possible ORFs in the 104 M genome using the “getorf” program in EMBOSS, with all sequences between two stop codons regarded as a protein in this database [ ]. The 6 F database comprised 115,420 candidate coding sequences for all of the possible proteins (longer than 20 amino acids) encoded by the genome.

Peak lists obtained from MS/MS spectra were identified using X! Tandem, MS-GF+, Comet and PeptideShaker. The identification was conducted using SearchGUI [,, ]. The decoy sequences were created by reversing the 104 M UniProt database. The Enzyme specificity was set to trypsin and a maximum of two missed cleavages were allowed. The initial maximal was set to 20.0 ppm as MS1 and 0.5 Da as MS2 tolerances. The fixed modifications carbamidomethylation of C, variable modifications oxidation of M and acetylation of protein N-term were used.

Protein identification was conducted against a concatenated target-decoy version of the B. Abortus 104 M complement of the UniProt database. PeptideShaker provides statistical confidence estimates for each peptide and protein, taking into account protein inference issues. PSMs, peptides, and proteins were validated at a 1.0% FDR using the decoy hit distribution. All of the raw mass spectra files along with the identification results have been deposited into the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD005403 and are now available [, ]. Bioinformatics tools for the prediction of proteins The analysis of unique proteins identified by different proteomics strategies was conducted using Patternlab4.0 [ ]. The venn diagram and circular map of the genome were drawn using jvenn and Circos [, ].

The theoretical molecular mass and pI, and GRAVY values were predicted using the ExPASy-ProtParam tool [ ]. Protein transmembrane helices were predicted using TMHMM 2.0 [ ]. The subcellular localization was predicted using the Cello2.5 program [ ]. The COGs classification system was employed to examine the distribution of different gene categories [ ]. The protective antigens GO analyses were performed using the Blast2Go online tool [ ].

The protective antigens probability scores were predicted using the VaxiJen2.0 server [ ]. Antigens were specified as pathogenic or nonpathogenic by the MP3 server [ ]. The conservation of new virulence factors and, protective antigens were assessed at both nucleotide and predicted amino acid levels between 18 different B. Abortus strains, using ClustalOmega [ ].

The pfam protein family database was used to generate a complete and accurate classification of protein families and domains [ ]. All statistical analyses were performed using GraphPad Prism (GraphPad Software, La Jolla, CA, USA).

Proteogenomic workflow and bioinformatics analysis All spectra were searched against the 6 F database [ ]. The detected peptides (1% FDR) and the B. Abortus 104 M genome with associated annotations were imported into the VESPA proteogenomic program [ ].

Peptides were mapped to the 104 M genome sequence and a set of unique peptides that did not match the annotated proteins of B. Abortus 104 M (orphan peptides) were identified and then mapped to the unique locations on the 104 M genome.

After the analysis, the annotations of existing ORF models were modified and novel ORFs were identified. All annotation identifications and corrections were assigned on the basis of at least two unique orphan peptides. RT-PCR validation The novel ORF models and errors identified in this study were validated at the transcriptional level by RT-PCR as previously described [ ]. The total RNA was extracted using the RNeasy Mini Kit (Qiagen, Valencia, CA) and then RNase-free DNase was added to remove any contaminating genomic DNA. The cDNA synthesis was performed using the QuantiTect Reverse Transcription Kit (Qiagen).

For the PCR reaction, the novel ORF models and errors cDNA was used as a template, while RNA and groEL cDNA were used as negative and positive controls, respectively. The gene-specific primers in this study are listed in Additional file: Table S9. Additional file 1: This file contains supplementary Tables S1-S9.

The 6 F translated genome database of B. Abortus 104 M used in this study.

List of proteins identified in this study. List of peptides identified in this study. List of PSMs identified in this study. List of hypothetical proteins identified in this study and function analysis. List of orphan peptides identified in this study. List of N-terminal acetylation identified in this study. The codon usage of two chromosomes in B.

Abortus 104 M. List of primers used for RT-PCR amplifications in this study. (XLSX 38564 kb).