The Penicillium Chrysogenum Extracellular Proteome. Conversion from a Food-rotting Strain to a Versatile Cell Factory for White Biotechnology

The filamentous fungus Penicillium chrysogenum is well-known by its ability to synthesize β-lactam antibiotics as well as other secondary metabolites. Like other filamentous fungi, this microorganism is an excellent host for secretion of extracellular proteins because of the high capacity of its protein secretion machinery. In this work, we have characterized the extracellular proteome reference map of P. chrysogenum Wisconsin 54–1255 by two-dimensional gel electrophoresis. This method allowed the correct identification of 279 spots by peptide mass fingerprinting and tandem MS. These 279 spots included 328 correctly identified proteins, which corresponded to 131 different proteins and their isoforms. One hundred and two proteins out of 131 were predicted to contain either classical or nonclassical secretion signal peptide sequences, providing evidence of the authentic extracellular location of these proteins. Proteins with higher representation in the extracellular proteome were those involved in plant cell wall degradation (polygalacturonase, pectate lyase, and glucan 1,3-β-glucosidase), utilization of nutrients (extracellular acid phosphatases and 6-hydroxy-d-nicotine oxidase), and stress response (catalase R). This filamentous fungus also secretes enzymes specially relevant for food industry, such as sulfydryl oxidase, dihydroxy-acid dehydratase, or glucoamylase. The identification of several antigens in the extracellular proteome also highlights the importance of this microorganism as one of the main indoor allergens. Comparison of the extracellular proteome among three strains of P. chrysogenum, the wild-type NRRL 1951, the Wis 54–1255 (an improved, moderate penicillin producer), and the AS-P-78 (a penicillin high-producer), provided important insights to consider improved strains of this filamentous fungus as versatile cell-factories of interest, beyond antibiotic production, for other aspects of white biotechnology.Filamentous fungi have an extraordinary ability to secrete proteins, secondary metabolites, and organic acids to the culture medium. The secreted proteins play important roles in nutrition, substrate colonization, or pathogenicity (1). This high secretory capacity has made filamentous fungi attractive for the commercial production of extracellular proteins (2), especially for the food and beverage industries (3), which have been using the compounds secreted by filamentous fungi for decades. Examples are provided by Aspergillus oryzae, which has been important for the production of traditional fermented foods and beverages in Japan and is used in modern biotechnology because of its ability to secrete large amounts of proteins (4) or Aspergillus niger, which has been widely used in biotechnology for the production of organic acids, food ingredients, and industrial enzymes (5). Because A. oryzae, A. niger, and Penicillium chrysogenum belong to the same fungal family, the latter microorganism might be considered of interest for the secretion of extracellular proteins.Although the understanding of the molecular basis of the secretion process in filamentous fungi is still limited (1), it is generally accepted that the secretion pathway in these microorganisms does not differ greatly from that present in yeasts and higher eukaryotes and protein secretion is believed to occur mainly at hyphal tips (6). The classical secretory pathway of proteins is driven by a canonical N-terminal signal peptide. These proteins enter the endoplasmic reticulum, where they are properly folded and modified (glycosylation, phosphorylation, etc.) and subsequently reach the Golgi compartment packed in transport vesicles. In this compartment, proteins can undergo further additional modifications such as glycosylation and peptide processing. Following this step, proteins are packed in secretory vesicles directed to the plasma membrane for secretion, or targeted to the vacuole either to become resident proteins or to undergo proteolytic degradation (7). In addition to the classical endoplasmic reticulum-Golgi pathway, it has been suggested that various kinds of mechanistically distinct nonclassical export routes may exist (8, 9). Cytoplasmic, nuclear and signal-peptide-containing proteins have been shown to reach the cell surface by nonconventional transport pathways (10). In yeasts, other mechanisms of secretion, which drive proteins lacking the signal peptide outside the plasma membrane, have also been described (11).P. chrysogenum is a filamentous fungus well-known by its ability to synthesize β-lactam antibiotics such as benzylpenicillin and isopenicillin N (12). Because the isolation of the wild-type strain NRRL 1951 from an infected cantaloupe in Peoria, Illinois in 1943 (13), this microorganism has undergone artificial selection by mutagenesis during industrial strain improvement programs, which gave rise to the improved-producing Wisconsin 54–1255 strain (hereafter named Wis 54-1255) (14). This strain became a laboratory model strain and was used for the genome sequencing project (15) and the intracellular proteome reference map (16). P. chrysogenum Wis 54–1255 was the ancestor of penicillin high-producing mutants, such as the AS-P-78 strain developed by Antibióticos S.A (León, Spain). The mutagenesis processes undergone by the P. chrysogenum strains during the industrial selection have introduced several important modifications in their metabolic networks (16).The recent advances in the Proteomics tools and the availability of genome sequences, has allowed an analysis of the secretomes of a few filamentous fungi, but the available information is still scarce (17–19). However, because of the availability of several fungal genomes and diverse prediction programs for secretory proteins, an integrated platform for annotation of fungal secretomes (Fungal Secretome Database) has been established and implemented in a web-based database (20). This database has been proposed as an integrated environment for the study of secretory proteins in the fungal kingdom.In order to fully characterize P. chrysogenum and to establish how the modifications acquired during the industrial strain improvement programs affected the wild type plant pathogenicity, analysis of the secreted proteins present in the culture broths was carried out. Using two-dimensional gel electrophoresis (2-DE)1 gels coupled to peptide mass fingerprint (PMF) and tandem MS we describe here for the first time the extracellular proteome of P. chrysogenum and the differences found in secreted protein among the wild type and two improved strains of this microorganism. Results reveal the nutritional versatility of this filamentous fungus and its potential interest for other biotechnological purposes different from antibiotic production, because nonpenicillin producer strains have been previously developed (21) that lack the penicillin biosynthesis genes (22) and can be used for other biotechnological uses.     

Splitting the BLOSUM Score into Numbers of Biological Significance

Mathematical tools developed in the context of Shannon information theory were used to analyze the meaning of the BLOSUM score, which was split into three components termed as the BLOSUM spectrum (or BLOSpectrum). These relate respectively to the sequence convergence (the stochastic similarity of the two protein sequences), to the background frequency divergence (typicality of the amino acid probability distribution in each sequence), and to the target frequency divergence (compliance of the amino acid variations between the two sequences to the protein model implicit in the BLOCKS database). This treatment sharpens the protein sequence comparison, providing a rationale for the biological significance of the obtained score, and helps to identify weakly related sequences. Moreover, the BLOSpectrum can guide the choice of the most appropriate scoring matrix, tailoring it to the evolutionary divergence associated with the two sequences, or indicate if a compositionally adjusted matrix could perform better.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29]     

Delineation of a Carcinogenic Helicobacter pylori Proteome

Helicobacter pylori is the strongest known risk factor for gastric adenocarcinoma, yet only a fraction of infected persons ever develop cancer. The extensive genetic diversity inherent to this pathogen has precluded comprehensive analyses of constituents that mediate carcinogenesis. We previously reported that in vivo adaptation of a non-carcinogenic H. pylori strain endowed the output derivative with the ability to induce adenocarcinoma, providing a unique opportunity to identify proteins selectively expressed by an oncogenic H. pylori strain. Using a global proteomics DIGE/MS approach, a novel missense mutation of the flagellar protein FlaA was identified that affects structure and function of this virulence-related organelle. Among 25 additional differentially abundant proteins, this approach also identified new proteins previously unassociated with gastric cancer, generating a profile of H. pylori proteins to use in vaccine development and for screening persons infected with strains most likely to induce severe disease.Helicobacter pylori is a Gram-negative bacterial species that selectively colonizes gastric epithelium and induces an inflammatory response within the stomach that persists for decades (1, 2). Biological costs incurred by the long term relationship between H. pylori and humans include an increased risk for distal gastric adenocarcinoma (3–8), and eradication of this pathogen significantly decreases cancer risk among infected individuals without premalignant lesions (9). However, only a fraction of colonized persons ever develop neoplasia, and enhanced cancer risk is related to H. pylori strain differences, inflammatory responses governed by host genetic diversity, and/or specific interactions between host and microbial determinants (10).H. pylori strains are remarkably diverse (11–15), and the genetic composition of strains can change over time within an individual colonized stomach (16, 17). Despite this diversity, several genetic loci have been identified that augment disease risk. The cag pathogenicity island encodes a type IV bacterial secretion system, and the product of the terminal gene in this island, CagA, is translocated into host epithelial cells by the cag secretion system following adherence (18–20). Within the host cell, CagA undergoes Src- and Abl-dependent tyrosine phosphorylation (21) and activates the eukaryotic phosphatase SHP-2, leading to dephosphorylation of host cell proteins and cellular morphological changes (19–21). CagA also dysregulates β-catenin signaling (22, 23) and apical-junctional complexes (24), events linked to increased cell motility and oncogenic transformation in several models (25, 26). Another H. pylori constituent linked to gastric cancer is the cytotoxin VacA, encoded by the gene vacA, which is present in virtually all H. pylori strains (27). In vitro, VacA induces the formation of intracellular vacuoles (27) and can induce apoptosis (28), and vacuolating activity is significantly associated with the presence of the cag pathogenicity island (3).Approximately 20% of H. pylori bind to gastric epithelial cells in vivo (29), and sequence analysis has revealed that the H. pylori genome contains an unusually high number of ORFs relative to its genome size that are predicted to encode outer membrane proteins (15). BabA, a member of a family of highly conserved outer membrane proteins and encoded by the strain-specific gene babA2, binds the Lewis^b histo-blood group antigen on gastric epithelial cells (30, 31), and H. pylori babA2⁺ strains are associated with an increased risk for gastric cancer (30). However, not all persons infected with cag⁺ babA2⁺ toxigenic strains develop gastric cancer, indicating that additional H. pylori constituents are important in carcinogenesis.We recently identified a strain of H. pylori, 7.13, that reproducibly induces gastric cancer in two rodent models of gastritis, Mongolian gerbils and hypergastrinemic INS-GAS mice (22). This strain was derived via in vivo adaptation of a clinical H. pylori strain, B128, which induces inflammation, but not cancer, in rodent gastric mucosa. The oncogenic 7.13 phenotype is not due to an enhanced ability of strain 7.13 to colonize as there were no significant differences in gastric colonization density or efficiency between strains B128 and 7.13 as assessed by either quantitative culture or histology. However, carcinogenic strain 7.13 binds more avidly to gastric epithelial cells in vitro than does strain B128, suggesting that the two strains may variably express different outer membrane proteins.To define proteins that may mediate the development of H. pylori-induced gastric cancer, we performed two-dimensional (2D)¹ DIGE coupled with MS to identify differentially abundant membrane-associated and cytosolic proteins from non-carcinogenic H. pylori strain B128 and its carcinogenic derivative, strain 7.13 (22). DIGE/MS is a well established proteomics technology based on conventional 2D gel protein separations whereby prelabeling samples with spectrally resolvable fluorescent dyes and multiplexing samples onto a series of gels that contain a mixture of all experimental samples (internal standard) provide quantitative data on abundance changes for thousands of intact proteins from multiple experimental conditions, each measured in replicate for statistical confidence (32–36). Techniques including DIGE/MS have recently been utilized to robustly define differences in protein abundance profiles between bacterial strains and to compare expression patterns of proteins harvested from bacteria maintained under different growth conditions (37, 38).Utilizing DIGE/MS, we detected and identified 26 proteins with statistically significant differences between strains B128 and 7.13, including a novel cysteine-to-arginine mutation in the H. pylori flagellar protein FlaA. We demonstrate that this FlaA mutation results in structural and functional aberrations. Application of this technique to two genetically related bacterial strains that induce distinct phenotypes also identified several novel candidate H. pylori virulence factors, providing a framework for studies targeting the pathogenesis of microbially induced cancer.     

Role of Partitioning-defective 1/Microtubule Affinity-regulating Kinases in the Morphogenetic Activity of Helicobacter pylori CagA

Helicobacter pylori CagA plays a key role in gastric carcinogenesis. Upon delivery into gastric epithelial cells, CagA binds and deregulates SHP-2 phosphatase, a bona fide oncoprotein, thereby causing sustained ERK activation and impaired focal adhesions. CagA also binds and inhibits PAR1b/MARK2, one of the four members of the PAR1 family of kinases, to elicit epithelial polarity defect. In nonpolarized gastric epithelial cells, CagA induces the hummingbird phenotype, an extremely elongated cell shape characterized by a rear retraction defect. This morphological change is dependent on CagA-deregulated SHP-2 and is thus thought to reflect the oncogenic potential of CagA. In this study, we investigated the role of the PAR1 family of kinases in the hummingbird phenotype. We found that CagA binds not only PAR1b but also other PAR1 isoforms, with order of strength as follows: PAR1b > PAR1d ≥ PAR1a > PAR1c. Binding of CagA with PAR1 isoforms inhibits the kinase activity. This abolishes the ability of PAR1 to destabilize microtubules and thereby promotes disassembly of focal adhesions, which contributes to the hummingbird phenotype. Consistently, PAR1 knockdown potentiates induction of the hummingbird phenotype by CagA. The morphogenetic activity of CagA was also found to be augmented through inhibition of non-muscle myosin II. Because myosin II is functionally associated with PAR1, perturbation of PAR1-regulated myosin II by CagA may underlie the defect of rear retraction in the hummingbird phenotype. Our findings reveal that CagA systemically inhibits PAR1 family kinases and indicate that malfunctioning of microtubules and myosin II by CagA-mediated PAR1 inhibition cooperates with deregulated SHP-2 in the morphogenetic activity of CagA.Infection with Helicobacter pylori strains bearing cagA (cytotoxin-associated gene A)-positive strains is the strongest risk factor for the development of gastric carcinoma, the second leading cause of cancer-related death worldwide (1–3). The cagA gene is located within a 40-kb DNA fragment, termed the cag pathogenicity island, which is specifically present in the genome of cagA-positive H. pylori strains (4–6). In addition to cagA, there are ∼30 genes in the cag pathogenicity island, many of which encode a bacterial type IV secretion system that delivers the cagA-encoded CagA protein into gastric epithelial cells (7–10). Upon delivery into gastric epithelial cells, CagA is localized to the plasma membrane, where it undergoes tyrosine phosphorylation at the C-terminal Glu-Pro-Ile-Tyr-Ala motifs by Src family kinases or c-Abl kinase (11–14). The C-terminal Glu-Pro-Ile-Tyr-Ala-containing region of CagA is noted for the structural diversity among distinct H. pylori isolates. Oncogenic potential of CagA has recently been confirmed by a study showing that systemic expression of CagA in mice induces gastrointestinal and hematological malignancies (15).When expressed in gastric epithelial cells, CagA induces morphological transformation termed the hummingbird phenotype, which is characterized by the development of one or two long and thin protrusions resembling the beak of the hummingbird. It has been thought that the hummingbird phenotype is related to the oncogenic action of CagA (7, 16–19). Pathophysiological relevance for the hummingbird phenotype in gastric carcinogenesis has recently been provided by the observation that infection with H. pylori carrying CagA with greater ability to induce the hummingbird phenotype is more closely associated with gastric carcinoma (20–23). Elevated motility of hummingbird cells (cells showing the hummingbird phenotype) may also contribute to invasion and metastasis of gastric carcinoma.In host cells, CagA interacts with the SHP-2 phosphatase, C-terminal Src kinase, and Crk adaptor in a tyrosine phosphorylation-dependent manner (16, 24, 25) and also associates with Grb2 adaptor and c-Met in a phosphorylation-independent manner (26, 27). Among these CagA targets, much attention has been focused on SHP-2 because the phosphatase has been recognized as a bona fide oncoprotein, gain-of-function mutations of which are found in various human malignancies (17, 18, 28). Stable interaction of CagA with SHP-2 requires CagA dimerization, which is mediated by a 16-amino acid CagA-multimerization (CM)² sequence present in the C-terminal region of CagA (29). Upon complex formation, CagA aberrantly activates SHP-2 and thereby elicits sustained ERK MAP kinase activation that promotes mitogenesis (30). Also, CagA-activated SHP-2 dephosphorylates and inhibits focal adhesion kinase (FAK), causing impaired focal adhesions. It has been shown previously that both aberrant ERK activation and FAK inhibition by CagA-deregulated SHP-2 are involved in induction of the hummingbird phenotype (31).Partitioning-defective 1 (PAR1)/microtubule affinity-regulating kinase (MARK) is an evolutionally conserved serine/threonine kinase originally isolated in C. elegans (32–34). Mammalian cells possess four structurally related PAR1 isoforms, PAR1a/MARK3, PAR1b/MARK2, PAR1c/MARK1, and PAR1d/MARK4 (35–37). Among these, PAR1a, PAR1b, and PAR1c are expressed in a variety of cells, whereas PAR1d is predominantly expressed in neural cells (35, 37). These PAR1 isoforms phosphorylate microtubule-associated proteins (MAPs) and thereby destabilize microtubules (35, 38), allowing asymmetric distribution of molecules that are involved in the establishment and maintenance of cell polarity.In polarized epithelial cells, CagA disrupts the tight junctions and causes loss of apical-basolateral polarity (39, 40). This CagA activity involves the interaction of CagA with PAR1b/MARK2 (19, 41). CagA directly binds to the kinase domain of PAR1b in a tyrosine phosphorylation-independent manner and inhibits the kinase activity. Notably, CagA binds to PAR1b via the CM sequence (19). Because PAR1b is present as a dimer in cells (42), CagA may passively homodimerize upon complex formation with the PAR1 dimer via the CM sequence, and this PAR1-directed CagA dimer would form a stable complex with SHP-2 through its two SH2 domains.Because of the critical role of CagA in gastric carcinogenesis (7, 16–19), it is important to elucidate the molecular basis underlying the morphogenetic activity of CagA. In this study, we investigated the role of PAR1 isoforms in induction of the hummingbird phenotype by CagA, and we obtained evidence that CagA-mediated inhibition of PAR1 kinases contributes to the development of the morphological change by perturbing microtubules and non-muscle myosin II.     

Analysis of Free Energy Signals Arising from Nucleotide Hybridization Between rRNA and mRNA Sequences during Translation in Eubacteria

A decoding algorithm is tested that mechanistically models the progressive alignments that arise as the mRNA moves past the rRNA tail during translation elongation. Each of these alignments provides an opportunity for hybridization between the single-stranded, -terminal nucleotides of the 16S rRNA and the spatially accessible window of mRNA sequence, from which a free energy value can be calculated. Using this algorithm we show that a periodic, energetic pattern of frequency 1/3 is revealed. This periodic signal exists in the majority of coding regions of eubacterial genes, but not in the non-coding regions encoding the 16S and 23S rRNAs. Signal analysis reveals that the population of coding regions of each bacterial species has a mean phase that is correlated in a statistically significant way with species () content. These results suggest that the periodic signal could function as a synchronization signal for the maintenance of reading frame and that codon usage provides a mechanism for manipulation of signal phase.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]     

Algorithms for Finding Small Attractors in Boolean Networks

A Boolean network is a model used to study the interactions between different genes in genetic regulatory networks. In this paper, we present several algorithms using gene ordering and feedback vertex sets to identify singleton attractors and small attractors in Boolean networks. We analyze the average case time complexities of some of the proposed algorithms. For instance, it is shown that the outdegree-based ordering algorithm for finding singleton attractors works in time for , which is much faster than the naive time algorithm, where is the number of genes and is the maximum indegree. We performed extensive computational experiments on these algorithms, which resulted in good agreement with theoretical results. In contrast, we give a simple and complete proof for showing that finding an attractor with the shortest period is NP-hard.[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]     

Identification and Quantification of Glycoproteins Using Ion-Pairing Normal-phase Liquid Chromatography and Mass Spectrometry

Glycoprotein structure determination and quantification by MS requires efficient isolation of glycopeptides from a proteolytic digest of complex protein mixtures. Here we describe that the use of acids as ion-pairing reagents in normal-phase chromatography (IP-NPLC) considerably increases the hydrophobicity differences between non-glycopeptides and glycopeptides, thereby resulting in the reproducible isolation of N-linked high mannose type and sialylated glycopeptides from the tryptic digest of a ribonuclease B and fetuin mixture. The elution order of non-glycopeptides relative to glycopeptides in IP-NPLC is predictable by their hydrophobicity values calculated using the Wimley-White water/octanol hydrophobicity scale. O-linked glycopeptides can be efficiently isolated from fetuin tryptic digests using IP-NPLC when N-glycans are first removed with PNGase. IP-NPLC recovers close to 100% of bacterial N-linked glycopeptides modified with non-sialylated heptasaccharides from tryptic digests of periplasmic protein extracts from Campylobacter jejuni 11168 and its pglD mutant. Label-free nano-flow reversed-phase LC-MS is used for quantification of differentially expressed glycopeptides from the C. jejuni wild-type and pglD mutant followed by identification of these glycoproteins using multiple stage tandem MS. This method further confirms the acetyltransferase activity of PglD and demonstrates for the first time that heptasaccharides containing monoacetylated bacillosamine are transferred to proteins in both the wild-type and mutant strains. We believe that IP-NPLC will be a useful tool for quantitative glycoproteomics.Protein glycosylation is a biologically significant and complex post-translational modification, involved in cell-cell and receptor-ligand interactions (1–4). In fact, clinical biomarkers and therapeutic targets are often glycoproteins (5–9). Comprehensive glycoprotein characterization, involving glycosylation site identification, glycan structure determination, site occupancy, and glycan isoform distribution, is a technical challenge particularly for quantitative profiling of complex protein mixtures (10–13). Both N- and O-glycans are structurally heterogeneous (i.e. a single site may have different glycans attached or be only partially occupied). Therefore, the MS¹ signals from glycopeptides originating from a glycoprotein are often weaker than from non-glycopeptides. In addition, the ionization efficiency of glycopeptides is low compared with that of non-glycopeptides and is often suppressed in the presence of non-glycopeptides (11–13). When the MS signals of glycopeptides are relatively high in simple protein digests then diagnostic sugar oxonium ion fragments produced by, for example, front-end collisional activation can be used to detect them. However, when peptides and glycopeptides co-elute, parent ion scanning is required to selectively detect the glycopeptides (14). This can be problematic in terms of sensitivity, especially for detecting glycopeptides in digests of complex protein extracts.Isolation of glycopeptides from proteolytic digests of complex protein mixtures can greatly enhance the MS signals of glycopeptides using reversed-phase LC-ESI-MS (RPLC-ESI-MS) or MALDI-MS (15–24). Hydrazide chemistry is used to isolate, identify, and quantify N-linked glycopeptides effectively, but this method involves lengthy chemical procedures and does not preserve the glycan moieties thereby losing valuable information on glycan structure and site occupancy (15–17). Capturing glycopeptides with lectins has been widely used, but restricted specificities and unspecific binding are major drawbacks of this method (18–21). Under reversed-phase LC conditions, glycopeptides from tryptic digests of gel-separated glycoproteins have been enriched using graphite powder medium (22). In this case, however, a second digestion with proteinase K is required for trimming down the peptide moieties of tryptic glycopeptides so that the glycopeptides (typically <5 amino acid residues) essentially resemble the glycans with respect to hydrophilicity for subsequent separation. Moreover, the short peptide sequences of the proteinase K digest are often inadequate for de novo sequencing of the glycopeptides.Glycopeptide enrichment under normal-phase LC (NPLC) conditions has been demonstrated using various hydrophilic media and different capture and elution conditions (23–28). NPLC allows either direct enrichment of peptides modified by various N-linked glycan structures using a ZIC®-HILIC column (23–27) or targeting sialylated glycopeptides using a titanium dioxide micro-column (28). However, NPLC is neither effective for enriching less hydrophilic glycopeptides, e.g. the five high mannose type glycopeptides modified by 7–11 monosaccharide units from a tryptic digest of ribonuclease b (RNase B), nor for enriching O-linked glycopeptides of bovine fetuin using a ZIC-HILIC column (23). The use of Sepharose medium for enriching glycopeptides yielded only modest recovery of glycopeptides (28). In addition, binding of hydrophilic non-glycopeptides with these hydrophilic media contaminates the enriched glycopeptides (23, 28).We have recently developed an ion-pairing normal-phase LC (IP-NPLC) method to enrich glycopeptides from complex tryptic digests using Sepharose medium and salts or bases as ion-pairing reagents (29). Though reasonably effective the technique still left room for significant improvement. For example, the method demonstrated relatively modest glycopeptide selectivity, providing only 16% recovery for high mannose type glycopeptides (29). Here we report on a new IP-NPLC method using acids as ion-pairing reagents and polyhydroxyethyl aspartamide (A) as the stationary phase for the effective isolation of tryptic glycopeptides. The method was developed and evaluated using a tryptic digest of RNase B and fetuin mixture. In addition, we demonstrate that O-linked glycopeptides can be effectively isolated from a fetuin tryptic digest by IP-NPLC after removal of the N-linked glycans by PNGase F.The new IP-NPLC method was used to enrich N-linked glycopeptides from the tryptic digests of protein extracts of wild-type (wt) and PglD mutant strains of Campylobacter jejuni NCTC 11168. C. jejuni has a unique N-glycosylation system that glycosylates periplasmic and inner membrane proteins containing the extended N-linked sequon, D/E-X-N-X-S/T, where X is any amino acid other than proline (30–32). The N-linked glycan of C. jejuni has been previously determined to be GalNAc-α1,4-GalNAc-α1,4-[Glcβ1,3]-GalNAc-α1,4-GalNAc-α1,4-GalNAc-α1,3-Bac-β1 (BacGalNAc₅Glc residue mass: 1406 Da), where Bac is 2,4-diacetamido-2,4,6-trideoxyglucopyranose (30). In addition, the glycan structure of C. jejuni is conserved, unlike in eukaryotic systems (30–32). IP-NPLC recovered close to 100% of the bacterial N-linked glycopeptides with virtually no contamination of non-glycopeptides. Furthermore, we demonstrate for the first time that acetylation of bacillosamine is incomplete in the wt using IP-NPLC and label-free MS.     

Genomic Plasticity of the Human Fungal Pathogen Candida albicans

The genomic plasticity of Candida albicans, a commensal and common opportunistic fungal pathogen, continues to reveal unexpected surprises. Once thought to be asexual, we now know that the organism can generate genetic diversity through several mechanisms, including mating between cells of the opposite or of the same mating type and by a parasexual reduction in chromosome number that can be accompanied by recombination events (2, 12, 14, 53, 77, 115). In addition, dramatic genome changes can appear quite rapidly in mitotic cells propagated in vitro as well as in vivo. The detection of aneuploidy in other fungal pathogens isolated directly from patients (145) and from environmental samples (71) suggests that variations in chromosome organization and copy number are a common mechanism used by pathogenic fungi to rapidly generate diversity in response to stressful growth conditions, including, but not limited to, antifungal drug exposure. Since cancer cells often become polyploid and/or aneuploid, some of the lessons learned from studies of genome plasticity in C. albicans may provide important insights into how these processes occur in higher-eukaryotic cells exposed to stresses such as anticancer drugs.The purpose of this review is to describe the tools used to detect genome changes, to highlight recent advances in our understanding of large-scale chromosome changes that arise in Candida albicans, and to discuss the role of specific stresses in eliciting these genome changes. The types of genomic diversity that have been characterized suggest that C. albicans can undergo extreme genomic changes in order to survive stresses in the human host. We propose that C. albicans and other pathogens may have evolved mechanisms not only to tolerate but also to generate large-scale genetic variation as a means of adaptation.C. albicans is a polymorphic yeast with a 16-Mb (haploid) genome organized in 8 diploid chromosomes (140, 154, 203). The C. albicans genome displays a very high degree of plasticity. This plasticity includes the types of genomic changes frequently observed with cancer cells, including gross chromosomal rearrangements, aneuploidy, and loss of heterozygosity (reviewed in references 100, 117, and 157). Similar to somatic cancer cells, C. albicans reproduces primarily through asexual clonal division (65, 84). Nonetheless, it has retained much of the machinery needed for mating and meiosis (189), yet meiosis has never been observed (13, 120).C. albicans has two mating-type-like (MTL) alleles, MTLa and MTLα (76). The MTL locus is on the left arm of chromosome 5 (Chr5), approximately 80 kbp from the centromere. Most C. albicans isolates are heterozygous for the MTL locus, but approximately 3 to 10% of clinical isolates are naturally homozygous at MTL (104, 108). Mating can occur between strains carrying the opposite MTL locus, and most strains that were found to be naturally MTL homozygous are mating competent (104, 108). MTL-homozygous strains were also constructed from MTL-heterozygous strains by deletion of either the MTLa or MTLα locus (77) or by selection for Chr5 loss on sorbose (87, 115).Mating between these diploid strains of opposite mating type can occur both in vitro (115) and in vivo (77, 97). The products are tetraploid and do not undergo a conventional meiotic reduction in ploidy (12, 120). Rather, they undergo random loss of multiple chromosomes, a process termed “concerted chromosome loss,” until they reach a near-diploid genome content (2, 12, 53, 85). A subset of these cells also undergoes multiple gene conversion events reminiscent of meiotic recombination, and most remain trisomic for one to several chromosomes (53). While mating and concerted chromosome loss have been induced in the laboratory, the role of the parasexual cycle during the host-pathogen interaction and in the response to stresses, such as exposure to antifungal drugs, remains unclear. The prevailing model is that adaptive mutations (such as those that occur with the acquisition of drug resistance) evolve through somatic events, including point mutations, recombination, gene conversion, loss of heterozygosity, and/or aneuploidy (13).