"Unknown genome" proteomics: a new NADP-dependent epimerase/dehydratase revealed by N-terminal sequencing, inverted PCR, and high resolution mass spectrometry

We present here a new approach that enabled the identification of a new protein from a bacterial strain with unknown genomic background using a combination of inverted PCR with degenerate primers derived from N-terminal protein sequences and high resolution peptide mass determination of proteolytic digests from two-dimensional electrophoretic separation. Proteins of the sulfate-reducing bacterium Desulfotignum phosphitoxidans specifically induced in the presence of phosphite were separated by two-dimensional gel electrophoresis as a series of apparent soluble and membrane-bound isoforms with molecular masses of approximately 35 kDa. Inverted PCR based on N-terminal sequences and high resolution peptide mass fingerprinting by Fourier transform-ion cyclotron resonance mass spectrometry provided the identification of a new NAD(P) epimerase/dehydratase by specific assignment of peptide masses to a single ORF, excluding other possible ORF candidates. The protein identification was ascertained by chromatographic separation and sequencing of internal proteolytic peptides. Metal ion affinity isolation of tryptic peptides and high resolution mass spectrometry provided the identification of five phosphorylations identified in the domains 23-47 and 91-118 of the protein. In agreement with the phosphorylations identified, direct molecular weight determination of the soluble protein eluted from the two-dimensional gels by mass spectrometry provided a molecular mass of 35,400 Da, which is consistent with an average degree of three phosphorylations.     

Applications of genome‐scale metabolic reconstructions

The availability and utility of genome‐scale metabolic reconstructions have exploded since the first genome‐scale reconstruction was published a decade ago. Reconstructions have now been built for a wide variety of organisms, and have been used toward five major ends: (1) contextualization of high‐throughput data, (2) guidance of metabolic engineering, (3) directing hypothesis‐driven discovery, (4) interrogation of multi‐species relationships, and (5) network property discovery. In this review, we examine the many uses and future directions of genome‐scale metabolic reconstructions, and we highlight trends and opportunities in the field that will make the greatest impact on many fields of biology.     

Using in silico models to simulate dual perturbation experiments: procedure development and interpretation of outcomes

Background  

A growing number of realistic in silico models of metabolic functions are being formulated and can serve as 'dry lab' platforms to prototype and simulate experiments before they are performed. For example, dual perturbation experiments that vary both genetic and environmental parameters can readily be simulated in silico. Genetic and environmental perturbations were applied to a cell-scale model of the human erythrocyte and subsequently investigated.     

Immunohistochemical Characterisation of Cell-Type Specific Expression of CK1δ in Various Tissues of Young Adult BALB/c Mice

Background

Casein kinase 1 delta (CK1δ) phosphorylates many key proteins playing important roles in such biological processes as cell growth, differentiation, apoptosis, circadian rhythm and vesicle transport. Furthermore, deregulation of CK1δ has been linked to neurodegenerative diseases and cancer. In this study, the cell specific distribution of CK1δ in various tissues and organs of young adult BALB/c mice was analysed by immunohistochemistry.

Methodology/Principal Findings

Immunohistochemical staining of CK1δ was performed using three different antibodies against CK1δ. A high expression of CK1δ was found in a variety of tissues and organ systems and in several cell types of endodermal, mesodermal and ectodermal origin.

Conclusions

These results give an overview of the cell-type specific expression of CK1δ in different organs under normal conditions. Thus, they provide evidence for possible cell-type specific functions of CK1δ, where CK1δ can interact with and modulate the activity of key regulator proteins by site directed phosphorylation. Furthermore, they provide the basis for future analyses of CK1δ in these tissues.     

Impaired Antibody Response Causes Persistence of Prototypic T Cell–Contained Virus

CD8 T cells are recognized key players in control of persistent virus infections, but increasing evidence suggests that assistance from other immune mediators is also needed. Here, we investigated whether specific antibody responses contribute to control of lymphocytic choriomeningitis virus (LCMV), a prototypic mouse model of systemic persistent infection. Mice expressing transgenic B cell receptors of LCMV-unrelated specificity, and mice unable to produce soluble immunoglobulin M (IgM) exhibited protracted viremia or failed to resolve LCMV. Virus control depended on immunoglobulin class switch, but neither on complement cascades nor on Fc receptor γ chain or Fc γ receptor IIB. Cessation of viremia concurred with the emergence of viral envelope-specific antibodies, rather than with neutralizing serum activity, and even early nonneutralizing IgM impeded viral persistence. This important role for virus-specific antibodies may be similarly underappreciated in other primarily T cell–controlled infections such as HIV and hepatitis C virus, and we suggest this contribution of antibodies be given consideration in future strategies for vaccination and immunotherapy.     

Genetic Variants of the α-Synuclein Gene SNCA Are Associated with Multiple System Atrophy

Background

Multiple system atrophy (MSA) is a progressive neurodegenerative disorder characterized by parkinsonism, cerebellar ataxia and autonomic dysfunction. Pathogenic mechanisms remain obscure but the neuropathological hallmark is the presence of α-synuclein-immunoreactive glial cytoplasmic inclusions. Genetic variants of the α-synuclein gene, SNCA, are thus strong candidates for genetic association with MSA. One follow-up to a genome-wide association of Parkinson''s disease has identified association of a SNP in SNCA with MSA.

Methodology/Findings

We evaluated 32 SNPs in the SNCA gene in a European population of 239 cases and 617 controls recruited as part of the Neuroprotection and Natural History in Parkinson Plus Syndromes (NNIPPS) study. We used 161 independently collected samples for replication. Two SNCA SNPs showed association with MSA: rs3822086 (P = 0.0044), and rs3775444 (P = 0.012), although only the first survived correction for multiple testing. In the MSA-C subgroup the association strengthened despite more than halving the number of cases: rs3822086 P = 0.0024, OR 2.153, (95% CI 1.3–3.6); rs3775444 P = 0.0017, OR 4.386 (95% CI 1.6–11.7). A 7-SNP haplotype incorporating three SNPs either side of rs3822086 strengthened the association with MSA-C further (best haplotype, P = 8.7×10⁻⁴). The association with rs3822086 was replicated in the independent samples (P = 0.035).

Conclusions/Significance

We report a genetic association between MSA and α-synuclein which has replicated in independent samples. The strongest association is with the cerebellar subtype of MSA.

Trial Registration

ClinicalTrials.gov {"type":"clinical-trial","attrs":{"text":"NCT00211224","term_id":"NCT00211224"}}NCT00211224. [{"type":"clinical-trial","attrs":{"text":"NCT00211224","term_id":"NCT00211224"}}NCT00211224]     

Plant diversity enhances provision of ecosystem services: A new synthesis

Biodiversity is known to play a fundamental role in ecosystem functioning and thus may positively influence the provision of ecosystem services with benefits to society. There is a need for further understanding of how specific components of biodiversity are affecting service provision. In this context, terrestrial plants are a particularly important component of biodiversity and one for which a wealth of information on biodiversity–ecosystem functioning relationships is available. In this paper, we consider terrestrial plants as providers of ecosystem services and analyze whether manipulating plant diversity has an effect on the magnitude of ecosystem service provision using a meta-analysis of 197 effect sizes and a vote-counting analysis of 361 significance tests. The results of these analyses are compared with those of a previous meta-analysis that included a wide diversity of service providers. We produce a synthesis table to explicitly link plants as service providers to indicators of ecosystem properties and these to ecosystem services. By focusing on only plants, we found a clear positive effect of biodiversity on six out of eight services analyzed (provisioning of plant products, erosion control, invasion resistance, pest regulation, pathogen regulation and soil fertility regulation). When controlling for pseudoreplication (repeated records from single studies), we found that four of the six positive effects remained significant; only pest regulation and soil fertility showed non-significant effects. Further expanding our basis for inference with the vote-counting analysis corroborated these results, demonstrating that quantitative meta-analysis and vote-counting methods are both useful methods to synthesize biodiversity–ecosystem service studies. Notwithstanding the restricted number of identified services, our results point to the importance of maintaining plant diversity to ensure and increased provision of ecosystem services which benefit human well-being.     

Host–parasitoid population density prediction using artificial neural networks: diamondback moth and its natural enemies

• 1 An integrated pest management (IPM) system incorporating the introduction and field release of Diadegma semiclausum (Hellén), a parasitoid of diamondback moth (DBM) Plutella xylostella (L.), comprising the worst insect pest of the cabbage family, has been developed in Kenya to replace the pesticides‐only approach.
• 2 Mathematical modelling using differential equations has been used in theoretical studies of host–parasitoid systems. Although, this method helps in gaining an understanding of the system's dynamics, it is generally less accurate when used for prediction. The artificial neural network (ANN) approach was therefore chosen to aid prediction.
• 3 The ANN methodology was applied to predict the population density of the DBM and D. semiclausum, its larval parasitoid. Two data sets, each from different release areas in the Kenya highlands, and both collected during a 3‐year period after the release of the parasitoid, were used in the present study. Two ANN models were developed using these data.
• 4 The ANN approach gave satisfactory results for DBM and for D. semiclausum. Sensitivity analysis suggested that pest populations may be naturally controlled by rainfall.
• 5 The ANN provides a powerful tool for predicting host–parasitoid population densities and made few assumptions on the field data. The approach allowed the use of data collected at any appropriate scale of the system, bypassing the assumptions and uncertainties that could have occurred when parameters are imported from other systems. The methodology can be explored with respect to the development of tools for monitoring and forecasting the population densities of a pest and its natural enemies. In addition, the model can be used to evaluate the relative effectiveness of the natural enemies and to investigate augmentative biological control strategies.

     

GeneFISH – an in situ technique for linking gene presence and cell identity in environmental microorganisms

Our knowledge concerning the metabolic potentials of as yet to be cultured microorganisms has increased tremendously with the advance of sequencing technologies and the consequent discoveries of novel genes. On the other hand, it is often difficult to reliably assign a particular gene to a phylogenetic clade, because these sequences are usually found on genomic fragments that carry no direct marker of cell identity, such as rRNA genes. Therefore, the aim of the present study was to develop geneFISH – a protocol for linking gene presence with cell identity in environmental samples, the signals of which can be visualized at a single cell level. This protocol combines rRNA‐targeted catalysed reporter deposition – fluorescence in situ hybridization and in situ gene detection. To test the protocol, it was applied to seawater samples from the Benguela upwelling system. For gene detection, a polynucleotide probe mix was used, which was designed based on crenarchaeotal amoA clone libraries prepared from each seawater sample. Each probe in the mix was selected to bind to targets with up to 5% mismatches. To determine the hybridization parameters, the T_m of probes, targets and hybrids was estimated based on theoretical calculations and in vitro measurements. It was shown that at least 30%, but potentially the majority of the Crenarchaeota present in these samples harboured the amoA gene and were therefore likely to be catalysing the oxidation of ammonia.