Paramecium bursaria chlorella virus 1 proteome reveals novel architectural and regulatory features of a giant virus.

The 331-kbp chlorovirus Paramecium bursaria chlorella virus 1 (PBCV-1) genome was resequenced and annotated to correct errors in the original 15-year-old sequence; 40 codons was considered the minimum protein size of an open reading frame. PBCV-1 has 416 predicted protein-encoding sequences and 11 tRNAs. A proteome analysis was also conducted on highly purified PBCV-1 virions using two mass spectrometry-based protocols. The mass spectrometry-derived data were compared to PBCV-1 and its host Chlorella variabilis NC64A predicted proteomes. Combined, these analyses revealed 148 unique virus-encoded proteins associated with the virion (about 35% of the coding capacity of the virus) and 1 host protein. Some of these proteins appear to be structural/architectural, whereas others have enzymatic, chromatin modification, and signal transduction functions. Most (106) of the proteins have no known function or homologs in the existing gene databases except as orthologs with proteins of other chloroviruses, phycodnaviruses, and nuclear-cytoplasmic large DNA viruses. The genes encoding these proteins are dispersed throughout the virus genome, and most are transcribed late or early-late in the infection cycle, which is consistent with virion morphogenesis.

A copper-methionine interaction controls the pH-dependent activation of peptidylglycine monooxygenase.

The pH dependence of native peptidylglycine monooxygenase (PHM) and its M314H variant has been studied in detail. For wild-type (WT) PHM, the intensity of the Cu-S interaction visible in the Cu(I) extended X-ray absorption fine structure (EXAFS) data is inversely proportional to catalytic activity over the pH range of 3-8. A previous model based on more limited data was interpreted in terms of two protein conformations involving an inactive Met-on form and an active flexible Met-off form [Bauman, A. T., et al. (2006) Biochemistry 45, 11140-11150] that derived its catalytic activity from the ability to couple into vibrational modes critical for proton tunneling. The new studies comparing the WT and M314H variant have led to the evolution of this model, in which the Met-on form has been found to be derived from coordination of an additional Met residue, rather than a more rigid conformer of M314 as previously proposed. The catalytic activity of the mutant decreased by 96% because of effects on both k(cat) and K(M), but it displayed the same activity-pH profile with a maximum around pH 6. At pH 8, the reduced Cu(I) form gave spectra that could be simulated by replacement of the Cu(M) Cu-S(Met) interaction with a Cu-N/O interaction, but the data did not unambiguously assign the ligand to the imidazole side chain of H314. At pH 3.5, the EXAFS still showed the presence of a strong Cu-S interaction, establishing that the Met-on form observed at low pH in WT cannot be due to a strengthening of the Cu(M)-methionine interaction but must arise from a different Cu-S interaction. Therefore, lowering the pH causes a conformational change at one of the Cu centers that brings a new S donor residue into a favorable orientation for coordination to copper and generates an inactive form. Cys coordination is unlikely because all Cys residues in PHM are engaged in disulfide cross-links. Sequence comparison with the PHM homologues tyramine ß-monooxygenase and dopamine ß-monooxygenase suggests that M109 (adjacent to H site ligands H107 and H108) is the most likely candidate. A model is presented in which H108 is protonated with a pK(a) of 4.6 to generate the inactive low-pH form with Cu(H) coordinated by M109, H107, and H172.

IPM: An integrated protein model for false discovery rate estimation and identification in high-throughput proteomics.

In high-throughput mass spectrometry proteomics, peptides and proteins are not simply identified as present or not present in a sample, rather the identifications are associated with differing levels of confidence. The false discovery rate (FDR) has emerged as an accepted means for measuring the confidence associated with identifications. We have developed the Systematic Protein Investigative Research Environment (SPIRE) for the purpose of integrating the best available proteomics methods. Two successful approaches to estimating the FDR for MS protein identifications are the MAYU and our current SPIRE methods. We present here a method to combine these two approaches to estimating the FDR for MS protein identifications into an integrated protein model (IPM). We illustrate the high quality performance of this IPM approach through testing on two large publicly available proteomics datasets. MAYU and SPIRE show remarkable consistency in identifying proteins in these datasets. Still, IPM results in a more robust FDR estimation approach and additional identifications, particularly among low abundance proteins. IPM is now implemented as a part of the SPIRE system.

Large scale production of the copper enzyme peptidylglycine monooxygenase using an automated bioreactor.

Rat PHM (peptidylglycine alpha-hydroxylating monooxygenase; EC 1.14.17.3) expressed in CHO DG44 cells as a recombinant protein (rat PHMcc, residues 42-356 cloned in the pCIS vector, A.S. Kolhekar, H.T. Keutman, R. E. Mains, A.S.W. Quon, B.A. Eipper, Biochemistry 36 (1997) 10901-10909), was produced in two different bioreactors, a Cellmax 100 (B1) and an Accusyst-MiniMax (B2). B2 contains features not present in B1, which contribute to environmental control, and ease of operation, and was more successful at producing high quality PHM than B1 in both yield (B1: 5mg/day, B2: 12-15 mg/day), activity (B1: 12-20 micromol O(2)/min/mg, B2: 24-36 micromol O(2)/min/mg), and viability (B1: <6 months, B2: indefinite). Additionally, B1 exhibited clipping at Ser 61, and a decline in quality late in the run. PHM from B2 was of consistent quality and homogeneity throughout the run. The increased yield and purity made possible collection of visible spectra of the Cu(II) sites, and mass spectrometric data not previously available.

pH Dependence of peptidylglycine monooxygenase. Mechanistic implications of Cu-methionine binding dynamics.

The pH dependence of the PHM-catalyzed monooxygenation of dansyl-YVG was studied in two different buffer systems in the pH range of 4-10. The pH-activity profile measured in a sulfonic acid buffer exhibited a maximum at pH 5.8 and became inactive at pH >9. The data could be fit to a model that assumed a protonated unreactive species A, a major reactive species B, and a less reactive species C. B formed in a deprotonation step with pK(a) of 4.6, while C formed and decayed with pK(a)s of 6.8 and 8.2, respectively. The pH dependence was found to be dominated by k(cat), with K(m)(dansyl-YVG) remaining pH-independent over the pH range of 5-8. Acetate-containing buffers shifted the pH maximum to 7.0, and the activity-pH profile could be simulated by formation and decay of a single active species with pK(a)s of 5.8 and 8.3, respectively. The pH-dependent changes in activity could be correlated with a change in the Debye-Waller factor for the Cu-S(met) (M314) component of the X-ray absorption spectrum which underwent a transition from a tightly bound inactive "met-on" form to a conformationally mobile active "met-off" form with a pK(a) which tracked the formation of the active species in both sulfonic acid and acetate-containing buffer systems. The data suggested that the conformational mobility of the bound substrate relative to the copper-superoxo active species is critical to catalysis and further suggested the presence of an accessible vibrational mode coupling Cu-S motion to the H tunneling probability along the Cu-O...H...C coordinate.

The hydrogen peroxide reactivity of peptidylglycine monooxygenase supports a Cu(II)-superoxo catalytic intermediate.

We have investigated the reaction of peptidylglycine monooxygenase with hydrogen peroxide to determine whether Cu(II)-peroxo is a likely intermediate. When the oxidized enzyme was reacted with the dansyl-YVG substrate and H(2)O(2), the alpha-hydroxyglycine product was formed. The reaction was catalytic and did not require the presence of additional reductant. When (18)O-labeled H(2)O(2) was reacted with peptidylglycine monooxygenase and substrate anaerobically, oxygen in the product was labeled with (18)O and must therefore be derived from H(2)O(2). However, when the reaction was carried out with H (16)(2)O(2) in the presence of (18)O(2), 60% of the product contained the (18)O label. Therefore, the reaction must proceed via an intermediate that can react directly with dioxygen and thus scramble the label. Under strictly anaerobic conditions (in the presence of glucose and glucose oxidase, where no oxygen was released into the medium from nonenzymatic peroxide decomposition), product formation and peroxide consumption were tightly coupled, and the rate of product formation was identical to that measured under aerobic conditions. Peroxide reactivity was eliminated by a mutation at the Cu(H) center, which should not be involved in the peroxide shunt. Our data lend support to recent proposals that Cu(II)-superoxide is the active species.

Seed phosphorus and inositol phosphate phenotype of barley low phytic acid genotypes.

myo-Inositol-1,2,3,4,5,6-hexakisphosphate (Ins P(6) or "phytic acid") typically represents approximately 75% of the total phosphorus and >80% of soluble myo-inositol (Ins) phosphates in seeds. The seed phosphorus and Ins phosphate phenotypes of four non-lethal barley (Hordeum vulgare L.) low phytic acid mutations are described. In seeds homozygous for M 635 and M 955 reductions in Ins P(6), approximately 75 and >90% respectively, are accompanied by reductions in other Ins phosphates and molar-equivalent increases in Pi. This phenotype suggests a block in supply of substrate Ins. In seeds homozygous for barley low phytic acid 1-1 (lpa1-1), a 45% decrease in Ins P(6) is mostly matched by an increase in Pi but also accompanied by small increases in Ins(1,2,3,4,6)P(5). In seeds homozygous for barley lpa2-1, reductions in seed Ins P(6) are accompanied by increases in both Pi and in several Ins phosphates, a phenotype that suggests a lesion in Ins phosphate metabolism, rather than Ins supply. The increased Ins phosphates in barley lpa2-1 seed are: Ins(1,2,3,4,6)P(5); Ins(1,2,4,6)P(4) and/or its enantiomer Ins(2,3,4,6)P(4); Ins(1,2,3,4)P(4) and/or its enantiomer Ins(1,2,3,6)P(4); Ins(1,2,6)P(3) and/or its enantiomer Ins(2,3,4)P(3); Ins(1,5,6)P(3) and/or its enantiomer Ins(3,4,5)P(3) (the methods used here cannot distinguish between enantiomers). This primarily "5-OH" series of Ins phosphates differs from the "1-/3-OH" series observed at elevated levels in seed of the maize lpa2 genotype, but previous chromosomal mapping data indicated that the maize and barley lpa2 loci might be orthologs of a single ancestral gene. Therefore one hypothesis that might explain the differing lpa2 phenotypes is that their common ancestral gene encodes a multi-functional, Ins phosphate kinase with both "1-/-3-" and "5-kinase" activities. A putative pyrophosphate-containing Ins phosphate, possibly an Ins P(7), was also observed in the mature seed of all barley genotypes except lpa2-1. Barley M 955 indicates that at least for this species, the ability to accumulate Ins P(6) can be nearly abolished while retaining at least short-term ( approximately 1.0 years) viability.