Sequence Determination Of Peptides Research Articles

A multi-epitope self-amplifying mRNA SARS-CoV-2 vaccine design using a reverse vaccinology approach

Background and purpose: Massive vaccine distribution is a crucial step to prevent the spread of SARS-CoV2 as the causative agent of COVID-19. This research aimed to design the multi-epitope self-amplifying mRNA (saRNA) vaccine from the spike and nucleocapsid proteins of SARS-CoV2. Experimental approach: Commonly distributed constructions class I and II alleles of the Indonesian population were used to determine peptide sequences that trigger this population’s high specificity T-cell response. The best vaccine candidate was selected through the analysis of tertiary structure validation and molecular docking of each candidate with TLR-4, TLR-8, HLA-A*24:02, and HLA-DRB1*04:05. The selected multi-epitope vaccine combined with the gene encoding the replication machinery that allows the RNA amplification in the host cell. Findings/Results: Seven B-cell and four T-cell epitopes from the protein target were highly antigenic and conserved, non-allergen, non-toxic, and hydrophilic. Tertiary structure validation then determined the best multi-epitope construction with 269 AA in length containing hBD-2 adjuvant and PADRE. Most residues are predicted to be accessible by solvent and show high population coverage (99,26%). Molecular docking analysis demonstrated a stable and strong binding affinity with immune receptors. A recombinant plasmid as the template for mRNA production was constructed by inserting the multi-epitope DNA and non-structural polyprotein 1-4 gene of VEEV, which encodes the RNA replication complex to the cloning site of pcDNA3.1(+). Conclusion and implication: In silico, design of self-amplifying mRNA could be a potential COVID-19 vaccine candidate since its ability to be amplified in the host cell can efficiently reduce the intake doses.

Antiaging function of Chinese pond turtle (Chinemys reevesii) peptide through activation of the Nrf2/Keap1 signaling pathway and its structure-activity relationship.

Chinese pond turtle is a traditional nourishing food with high nutritional value and bioactivity and has been considered a dietary remedy for prolonging the lifespan since ancient times. However, only limited information about their effects on longevity is available. This study was performed to assess the antioxidant activities and antiaging potential of Chinese pond turtle peptide (CPTP) using Drosophila melanogaster model and uncover the possible mechanisms underlying the beneficial effects. CPTP exhibited excellent antioxidant capability in vitro with IC50 values of 3.31, 1.93, and 9.52 mg/ml for 1,1-diphenyl-2-pycryl-hydrazyl (DPPH), 2,2-azinobis (3-ethylbenzothiazo-line-6-sulfonic acid) diammonium salt (ABTS), and hydroxyl radical scavenging, respectively. In vivo, 0.8% of CPTP significantly extended the mean and median lifespan of female flies by 7.66 and 7.85%, followed by enhanced resistance to oxidative and heat stress. Besides, CPTP remarkably increased the antioxidant enzyme activities and diminished the peroxide product accumulation. Furthermore, CPTP upregulated the relative mRNA expression of antioxidant-related genes, including nuclear factor-erythroid-2-like 2 (Nrf2) and its downstream target genes, while downregulated the expression of Kelch-like ECH-associated protein 1 (Keap1). Taken together, CPTP displayed promising potential in both antioxidant and antiaging effects on flies by targeting the Nrf2/Keap1 pathway. Further peptide sequence determination revealed that 89.23% of peptides from the identified sequences in CPTP could exert potential inhibitory effects on Keap1. Among these peptides, ten representative peptide sequences could actively interact with the binding sites of Keap1-Nrf2 interaction through hydrogen bonds, van der Walls, hydrophobic interactions, and electrostatic interactions. Conclusively, CPTP could be utilized as health-promoting bioactive peptide with antioxidant and antiaging capacities.

Mass Spectrometry-Cleavable Protein N-Terminal Tagging Strategy for System-Level Protease Activity Profiling.

Proteolysis is one of the most important protein post-translational modifications (PTMs) that influences the functions, activities, and structures of nearly all proteins during their lifetime. To facilitate the targeted identification of low-abundant proteolytic products, we devised a strategy incorporating a novel biotinylated reagent PFP (pentafluorophenyl)-Rink-biotin to specifically target, enrich and identify proteolytic N-termini. Within the PFP-Rink-biotin reagent, a mass spectrometry (MS)-cleavable feature was designed to assist in the unambiguous confirmation of the enriched proteolytic N-termini. The proof-of-concept study was performed with multiple standard proteins whose N-termini were successfully modified, enriched and identified by a signature ion (SI) in the MS/MS fragmentation, along with the determination of N-terminal peptide sequences by multistage tandem MS of the complementary fragment generated after the cleavage of MS-cleavable bond. For large-scale application, the enrichment and identification of protein N-termini from Escherichia coli cells were demonstrated, facilitated by an in-house developed NTermFinder bioinformatics workflow. We believe this approach will be beneficial in improving the confidence of identifying proteolytic substrates in a native cellular environment.

Mass Spectral Analysis of Synthetic Peptides: Implications in Proteomics.

Sequence determination of peptides is a crucial step in mass spectrometry-based proteomics. Peptide sequences are determined either by database search or by de novo sequencing using tandem mass spectrometry. Determination of all the theoretical expected peptide fragments and eliminating false discoveries remains a challenge in proteomics. Developing standards for evaluating the performance of mass spectrometers and algorithms used for identification of proteins is important for proteomics studies. The current study is focused on these aspects by using synthetic peptides. A total of 599 peptides were designed from in silico tryptic digest with 1 or 2 missed cleavages from 199 human proteins, and synthetic peptides corresponding to these sequences were obtained. The peptides were mixed together, and analysis was carried out using liquid chromatography-electrospray ionization tandem mass spectrometry on a Q-Exactive HF mass spectrometer. The peptides and proteins were identified with SEQUEST program. The analysis was carried out using the proteomics workflows. A total of 573 peptides representing 196 proteins could be identified, and a spectral library was created for these peptides. Analysis parameters such as "no enzyme selection" gave the maximum number of detected peptides as compared with trypsin in the selection. False discoveries could be identified. This study highlights the limitations of peptide detection and the need for developing powerful algorithms along with tools to evaluate mass spectrometers and algorithms. It also shows the limitations of peptide detection even with high-end mass spectrometers. The mass spectral data are available in ProteomeXchange with accession no. PXD017992.

Mass Spectral Analysis of Synthetic Peptides: Implications in Proteomics.

Sequence determination of peptides is a crucial step in mass spectrometry-based proteomics. Peptide sequences are determined either by database search or by de novo sequencing using tandem mass spectrometry. Determination of all the theoretical expected peptide fragments and eliminating false discoveries remains a challenge in proteomics. Developing standards for evaluating the performance of mass spectrometers and algorithms used for identification of proteins is important for proteomics studies. The current study is focused on these aspects by using synthetic peptides. A total of 599 peptides were designed from in silico tryptic digest with 1 or 2 missed cleavages from 199 human proteins, and synthetic peptides corresponding to these sequences were obtained. The peptides were mixed together, and analysis was carried out using liquid chromatography-electrospray ionization tandem mass spectrometry on a Q-Exactive HF mass spectrometer. The peptides and proteins were identified with SEQUEST program. The analysis was carried out using the proteomics workflows. A total of 573 peptides representing 196 proteins could be identified, and a spectral library was created for these peptides. Analysis parameters such as "no enzyme selection" gave the maximum number of detected peptides as compared with trypsin in the selection. False discoveries could be identified. This study highlights the limitations of peptide detection and the need for developing powerful algorithms along with tools to evaluate mass spectrometers and algorithms. It also shows the limitations of peptide detection even with high-end mass spectrometers. The mass spectral data are available in ProteomeXchange with accession no. PXD017992.

Novel peptides with HIV-1 reverse transcriptase inhibitory activity derived from the fruits of Quercus infectoria.

The HIV-1 reverse transcriptase (HIV-1 RT), which is responsible for transcription of viral RNA genomes into DNA genomes, has become an important target for the treatment of patients with HIV infection. Hydrolyzed peptides from plants are considered a new source of potential drugs. In order to develop new effective inhibitors, peptides extracted from 111 Asian medicinal plants were screened against the HIV-1 RT. The crude hydrolyzed peptides from the fruit peel of Quercus infectoria were selected for purification and peptide sequence determination by HPLC and LC-MS. Two peptides of interest were synthesized, and an IC50 test was performed to determine their ability to inhibit the HIV-1 RT. The IC50 values of the peptides AIHIILI and LIAVSTNIIFIVV were determined to be 274±5.10nm and 236.4±7.07nm, respectively. This indicated that these peptides could be further developed as potential HIV-1 RT inhibitors.

Mass spectral analysis of acetylated peptides: Implications in proteomics.

Sequence determination of peptides using mass spectrometry plays a crucial role in the bottom-up approaches for the identification of proteins. It is crucially important to minimise false detection and validate sequence of the peptides in order to correctly identify a protein. Chemical modification of peptides followed by mass spectrometry is an option for improving the spectral quality. In silico-derived tryptic peptides with different N-terminal amino acids were designed from human proteins and synthesized. The effect of acetylation on the fragmentation of peptides was studied. N-terminal acetylation of the tryptic peptides was shown to form b1-ions, improve the abundance and occurrence of b-ions. In some cases, the intensity and occurrence of some y-ions also varied. Thus, it is demonstrated that acetylation plays an important role in improving the de novo sequencing efficiency of the peptides. The acetylation method was extended to tryptic peptides generated from the proteome of an Antarctic bacterium Pseudomonas syringae Lz4W using the proteomics work flow and mass spectra of the peptides were analysed. Comparison of the MS/MS spectra of the acetylated and unacetylated peptides revealed that acetylation helped in improving the spectral quality and validated the peptide sequences. Using this method, 673 proteins of the 1070 proteins identified were validated.

Dedicated Heuristic for Peptide Assembly Problem

Background: Peptides are chemicals built of 20 types of amino acids linked into long chain called sequence. Determination of amino acid sequence (order) in peptide is a very important issue of modern molecular biology. There is no direct chemical method that allows determining long peptide sequences. The approach to do so is to cut long sequence into short pieces, sequence them and then to figure out what was their order in the original long sequence (proper order determines long sequence). This process is called assembly and requires applying computational methods. In this paper, we present dedicated heuristic for strongly NP-hard variant of peptide assembly problem. Objective: The objective of the research was to propose a new method for peptide assembly problem. There are a few metaheuristic methods available in the literature, however their results (similarity of computed sequence compare to original one) are not good enough to be considered for practical use. The main goal was to design dedicated heuristic that takes into account problem properties and finally leads to better results. Method: The considered variant of the peptide assembly problem was formulated using graph theory. For metaheuristic methods available in the literature, a special variant of Hamiltonian problem had to be solved to find the final peptide sequence. For dedicated heuristic, instead of looking for the special variant of Hamiltonian path in this graph, the family of its sub-graphs (called adjoints) is searched for the Hamiltonian path. The space of acceptable solutions that need to be searched to find the optimal solution was strongly decreased in comparison to metaheuristic methods. Results: The computational experiment has been performed to test dedicated heuristic and the obtained results strongly exceed results of methods (solving this problem) which are available in the literature. The average result for the new dedicated heuristic is 96.07% compared to 59,7% for Tabu Search, 72,32% for GRASP and 88,74% for evolutionary algorithm. Conclusion: The obtained results clearly show that the new dedicated heuristic is much more useful in the process of peptide sequence determination. Keywords: Peptide assembly, peptide sequencing, endopeptidases, dedicated heuristic, graph theory, adjoints.

Rapid screening and identification of ACE inhibitors in snake venoms using at-line nanofractionation LC-MS

This study presents an analytical method for the screening of snake venoms for inhibitors of the angiotensin-converting enzyme (ACE) and a strategy for their rapid identification. The method is based on an at-line nanofractionation approach, which combines liquid chromatography (LC), mass spectrometry (MS), and pharmacology in one platform. After initial LC separation of a crude venom, a post-column flow split is introduced enabling parallel MS identification and high-resolution fractionation onto 384-well plates. The plates are subsequently freeze-dried and used in a fluorescence-based ACE activity assay to determine the ability of the nanofractions to inhibit ACE activity. Once the bioactive wells are identified, the parallel MS data reveals the masses corresponding to the activities found. Narrowing down of possible bioactive candidates is provided by comparison of bioactivity profiles after reversed-phase liquid chromatography (RPLC) and after hydrophilic interaction chromatography (HILIC) of a crude venom. Additional nanoLC-MS/MS analysis is performed on the content of the bioactive nanofractions to determine peptide sequences. The method described was optimized, evaluated, and successfully applied for screening of 30 snake venoms for the presence of ACE inhibitors. As a result, two new bioactive peptides were identified: pELWPRPHVPP in Crotalus viridis viridis venom with IC50 = 1.1 μM and pEWPPWPPRPPIPP in Cerastes cerastes cerastes venom with IC50 = 3.5 μM. The identified peptides possess a high sequence similarity to other bradykinin-potentiating peptides (BPPs), which are known ACE inhibitors found in snake venoms.

Identification of peptides, metal binding and lipid peroxidation activities of HPLC fractions of hydrolyzed oat bran proteins.

The aim of this study was to evaluate metal binding and antioxidant activities of hydrolyzed oat bran proteins followed by the determination of peptide sequences. Protamex oat bran protein hydrolysates (OBPH) were separated by reverse-phase HPLC into eight peptide fractions (F1-F8) and their abilities to either chelate metals (Fe2+, Ca2+) or prevent the oxidation of lipids were investigated. In the Fe2+ chelation assay, OBPH had significantly (p<0.05) higher activity (39.7%) than the best performed fraction F7 (22.8%). The second most active was F5 with 12.1% chelating activity and this was higher than the activity of the tripeptide glutathione (5.8%) used as control. The two most Fe2+ chelating fractions (F5, F7) however had weak calcium binding (0.6-1.0%) properties at peptide concentration ranging from 0.2 to 1.0mg/mL. In the lipid peroxidation assay, OBPH and all HPLC fractions prevented the oxidation of linoleic acid. More than 60 peptides mainly derived from globulin and avenin proteins were identified using tandem mass spectrometry.

Imaging mass spectrometry analysis of renal amyloidosis biopsies reveals protein co-localization with amyloid deposits.

Amyloidosis is a heterogeneous group of protein misfolding diseases characterized by deposition of amyloid proteins. The kidney is frequently affected, especially by immunoglobulin light chain (AL) and serum amyloid A (SAA) amyloidosis as the most common subgroups. Current diagnosis relies on histopathological examination, Congo red staining, or electron microscopy. Subtyping is done by immunohistochemistry; however, commercially available antibodies lack specificity. The purpose of this study was to identify and map amyloid proteins in formalin-fixed paraffin-embedded tissue sections using matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis in an integrated workflow. Renal amyloidosis and non-amyloidosis biopsies were processed for histological and MS analysis. Mass spectra corresponding to the congophilic areas were directly linked to the histological and MS images for correlation studies. Peptides for SAA and AL were detected by MALDI IMS associated to Congo red-positive areas. Sequence determination of amyloid peptides by LC-MS/MS analysis provided protein distribution and identification. Serum amyloid P component, apolipoprotein E, and vitronectin proteins were identified in both AA and AL amyloidosis, showing a strong correlation with Congo red-positive regions. Our findings highlight the utility of MALDI IMS as a new method to type amyloidosis in histopathological routine material and characterize amyloid-associated proteins that may provide insights into the pathogenetic process of amyloid formation.

Current peptidomics: applications, purification, identification, quantification, and functional analysis.

Peptidomics is an emerging field branching from proteomics that targets endogenously produced protein fragments. Endogenous peptides are often functional within the body-and can be both beneficial and detrimental. This review covers the use of peptidomics in understanding digestion, and identifying functional peptides and biomarkers. Various techniques for peptide and glycopeptide extraction, both at analytical and preparative scales, and available options for peptide detection with MS are discussed. Current algorithms for peptide sequence determination, and both analytical and computational techniques for quantification are compared. Techniques for statistical analysis, sequence mapping, enzyme prediction, and peptide function, and structure prediction are explored.

GlycoMaster DB: Software To Assist the Automated Identification of N-Linked Glycopeptides by Tandem Mass Spectrometry

Glycosylation is one of the most commonly observed post-translational modifications (PTMs) in eukaryotes. It is believed that more than 50% eukaryotic proteins are glycosylated. To reveal the biological functions of protein-linked glycans involved in numerous biological processes, the high-throughput identification of both glycoproteins and the attached glycan structures becomes fundamentally important. Tandem mass spectrometry (MS/MS) is an effective method for glycoproteomic analysis because of its high sensitivity and selectivity. Two experimental approaches exist to obtain MS/MS spectral data of glycopeptides. One consists of isolating glycans from glycopeptides and generating MS/MS spectra of the glycans and peptides separately. The other approach produces spectra directly from intact glycopeptides. The latter approach has the advantage of retaining the glycosylation site information. However, the spectral data cannot be readily analyzed because of the lack of software specifically designed for the identification of intact glycopeptides. To address this need, we developed a novel software tool, GlycoMaster DB, to assist the automated and high-throughput identification of intact N-linked glycopeptides from MS/MS spectra. The software simultaneously searches a protein sequence database and a glycan structure database to find the best pair of peptide and glycan for each input spectrum. GlycoMaster DB can analyze mass spectral data produced with HCD/ETD mixed fragmentation, where HCD spectra are used to identify glycans and ETD spectra are used to determine peptide sequences. When only HCD spectra are available, GlycoMaster DB can still help to identify the glycans, and a list of possible peptide sequences are reported according to the accurate precursor mass and the N-linked glycopeptide sequon. GlycoMaster DB is freely accessible at http://www-novo.cs.uwaterloo.ca:8080/GlycoMasterDB .

Site-specific qualitative and quantitative analysis of the N- and O-glycoforms in recombinant human erythropoietin.

Recombinant human erythropoietin (rhEPO) has been extensively used as a pharmaceutical product for treating anemia. Glycosylation of rhEPO affects the biological activity, immunogenicity, pharmacokinetics, and in-vivo clearance rate of rhEPO. Characterization of the glycosylation status of rhEPO is of great importance for quality control. In this study, we established a fast and comprehensive approach for reliable characterization and relative quantitation of rhEPO glycosylation, which combines multiple-enzyme digestion, hydrophilic-interaction chromatography (HILIC) enrichment of glycopeptides, and tandem mass spectrometry (MS) analysis. The N-linked and O-linked intact glycopeptides were analyzed with high-resolution and high-accuracy (HR-AM) mass spectrometry using an Orbitrap. In total, 74 intact glycopeptides from four glycosylation sites at N24, N38, N83, and O126 were identified, with the simultaneous determination of peptide sequences and glycoform compositions. The extracted ion chromatograms based on the HR-AM data enabled relative quantification of glycoforms. Our results could be extended to quality control of rhEPO or could help establish detection approaches for glycosylation of other proteins.

Lessons in de novo peptide sequencing by tandem mass spectrometry.

Mass spectrometry has become the method of choice for the qualitative and quantitative characterization of protein mixtures isolated from all kinds of living organisms. The raw data in these studies are MS/MS spectra, usually of peptides produced by proteolytic digestion of a protein. These spectra are "translated" into peptide sequences, normally with the help of various search engines. Data acquisition and interpretation have both been automated, and most researchers look only at the summary of the identifications without ever viewing the underlying raw data used for assignments. Automated analysis of data is essential due to the volume produced. However, being familiar with the finer intricacies of peptide fragmentation processes, and experiencing the difficulties of manual data interpretation allow a researcher to be able to more critically evaluate key results, particularly because there are many known rules of peptide fragmentation that are not incorporated into search engine scoring. Since the most commonly used MS/MS activation method is collision-induced dissociation (CID), in this article we present a brief review of the history of peptide CID analysis. Next, we provide a detailed tutorial on how to determine peptide sequences from CID data. Although the focus of the tutorial is de novo sequencing, the lessons learned and resources supplied are useful for data interpretation in general.

Practical Ring-Opening Strategy for the Sequence Determination of Cyclic Peptides from One-Bead-One-Compound Libraries

The use of cyclic peptides in one-bead-one-compound libraries is limited by difficulties in sequencing hit compounds. Lacking a free N-terminal amine, such peptides cannot be sequenced by the Edman degradation approach, and complex fragmentation patterns are obtained by tandem mass spectrometry. To overcome this problem, we designed an alternative approach introducing a methionine residue within the macrocycle and as a linker to allow simultaneous ring-opening and release from the resin upon treatment with cyanogen bromide. The methionine linker was inverted relative to the peptide chain to allow the synthesis of cyclic peptides anchored by a lysine side chain and to avoid the presence of two C-terminal homoserine lactones on the released linear peptides. After MALDI-TOF MS/MS analysis, the peptides released from a single bead were sequenced manually and with a de novo sequencing software. The strategy described herein is compatible with commonly used amino acids and allows sequencing of cyclic peptides in one-bead-one-compound libraries, thus reducing the need for encoding.

Non-Direct Sequence Ions in the Tandem Mass Spectrometry of Protonated Peptide Amides—an Energy-Resolved Study

The fragmentation reactions of the MH(+) ions of Leu-enkephalin amide and a variety of heptapeptide amides have been studied in detail as a function of collision energy using a QqToF beam type mass spectrometer. The initial fragmentation of the protonated amides involves primarily formation of bn ions, including significant loss of NH3 from the MH(+) ions. Further fragmentation of these bn ions occurs following macrocyclization/ring opening leading in many cases to bn ions with permuted sequences and, thus, to formation of non-direct sequence ions. The importance of these non-direct sequence ions increases markedly with increasing collision energy, making peptide sequence determination difficult, if not impossible, at higher collision energies.

Identification and Expression of Genes Involved in the Conversion of Daidzein and Genistein by the Equol-Forming Bacterium Slackia isoflavoniconvertens

Gut bacteria play a key role in the metabolism of dietary isoflavones, thereby influencing the availability and bioactivation of these polyphenols in the intestine. The human intestinal bacterium Slackia isoflavoniconvertens converts the main soybean isoflavones daidzein and genistein to equol and 5-hydroxy-equol, respectively. Cell extracts of S. isoflavoniconvertens catalyzed the conversion of daidzein via dihydrodaidzein to equol and that of genistein to dihydrogenistein. Growth of S. isoflavoniconvertens in the presence of daidzein led to the induction of several proteins as observed by two-dimensional difference gel electrophoresis. Based on determined peptide sequences, we identified a cluster of eight genes encoding the daidzein-induced proteins. Heterologous expression of three of these genes in Escherichia coli and enzyme activity tests with the resulting cell extracts identified the corresponding gene products as a daidzein reductase (DZNR), a dihydrodaidzein reductase (DHDR), and a tetrahydrodaidzein reductase (THDR). The recombinant DZNR also converted genistein to dihydrogenistein at higher rates than were observed for the conversion of daidzein to dihydrodaidzein. Higher rates were also observed with cell extracts of S. isoflavoniconvertens. The recombinant DHDR and THDR catalyzed the reduction of dihydrodaidzein to equol, while the corresponding conversion of dihydrogenistein to 5-hydroxy-equol was not observed. The DZNR, DHDR, and THDR were expressed as Strep-tag fusion proteins and subsequently purified by affinity chromatography. The purified enzymes were further characterized with regard to their activity, stereochemistry, quaternary structure, and content of flavin cofactors.

Laser desorption ionization mass spectrometry of protein tryptic digests on nanostructured silicon plates

We report on the simple application of a new nanostructured silicon (NanoSi) substrate as laser desorption/ionization (LDI)-promoting surface for high-throughput identification of protein tryptic digests by a rapid MS profiling and subsequent MS/MS analysis. The NanoSi substrate is easily prepared by chemical etching of crystalline silicon in NH(4)F/HNO(3)/AgNO(3) aqueous solution. To assess the LDI performances in terms of sensitivity, repeatability and robustness, the detection of small synthetic peptides (380-1700Da) was investigated. Moreover, peptide sequencing was tackled. Various tryptic synthetic peptide mixtures were first characterized in MS and MS/MS experiments carried out on a single deposit. Having illustrated the capability to achieve peptide detection and sequencing on these ionizing surfaces in the same run, protein tryptic digests from Cytochrome C, β-Casein, BSA and Fibrinogen were then analyzed in the femtomolar range (from 50 fmol for Cytochrome C down to 2 fmol for Fibrinogen). Comparison of the NanoSi MS and MS/MS data with those obtained with sample conditioned in organic matrix demonstrated a great behavior for low mass responses. We demonstrated the capability of LDI on NanoSi to be a complementary method to MALDI peptide mass fingerprinting ensuring determination of peptide molecular weights and sequences for more efficient protein database searches.

Predicting genetic traits and epitope analysis of apxIVA in Actinobacillus pleuropneumoniae

Actinobacillus pleuropneumoniae causes a severe hemorrhagic pneumonia in pigs. Fifteen serotypes of A. pleuropneumoniae express four different Apx toxins that belong to the pore-forming repeats-in-toxin (RTX) group of toxins. ApxIV, which is conserved and up-regulated in vivo, could be an excellent candidate for the development of a protective cross-serotype immunity vaccine, and could aid in the differential diagnosis of diseases caused by A. pleuropneumoniae. We identified and sequenced apxIVA from A. pleuropneumoniae serotype 2 isolated in Korea (Kor-ApxIVA). The Kor-ApxIVA was closely related to Switzerland (AF021919), China (CP000687), and China (GQ332268), showing 98.6%, 98.4%, and 97.2% amino acid homology, respectively. The level of amino acid homology, however, was higher than the nucleotide homology. The structural characteristics of ApxIVA showed RTX proteins, including N-terminal hydrophobic domains, signature sequences for potential acylation sites, and repeated glycine-rich nonapeptides in the C-terminal region of the protein. Thirty glycine-rich nonapeptides with the consensus sequence, L/V-X-G-G-X-G-N/D-D-X, were found in the C-terminus of the Kor-ApxIVA. In addition, the Kor-ApxIVA was predicted for the linear B-cell epitopes and conserved domains with determined peptide sequences. This genetic analysis of the Kor-ApxIVA might be an important foundation for future biological and functional research on ApxIVA.