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Bottom-up proteomics analyses have been proved over the last years to be a powerful tool in the characterization of the proteome and are crucial for understanding cellular and organism behaviour. Through differential proteomic analysis researchers can shed light on groups of proteins or individual proteins that play key roles in certain, normal or pathological conditions. However, several tools for the analysis of such complex datasets are powerful, but hard-to-use with steep learning curves. In addition, some other tools are easy to use, but are weak in terms of analytical power. Previously, we have introduced ProteoSign, a powerful, yet user-friendly open-source online platform for protein differential expression/abundance analysis designed with the end-proteomics user in mind. Part of Proteosign's power stems from the utilization of the well-established Linear Models For Microarray Data (LIMMA) methodology. Here, we present a substantial upgrade of this computational resource, called ProteoSign v2, where we introduce major improvements, also based on user feedback. The new version offers more plot options, supports additional experimental designs, analyzes updated input datasets and performs a gene enrichment analysis of the differentially expressed proteins. We also introduce the deployment of the Docker technology and significantly increase the speed of a full analysis. ProteoSign v2 is available at http://bioinformatics.med.uoc.gr/ProteoSign., Graphical Abstract Graphical AbstractProteoSign v2: a faster and evolved user-friendly online tool for statistical analyses of differential proteomics.

Foodomics is an emerging research field in food science that applies advanced omics technologies to assess relevant aspects related to food and nutrition, with the ultimate goal to improve human health and well-being. Many studies have already shown the tremendous potential of this approach to boost food science research regarding food authentication and traceability, safety issues, improved quality, bioactivity and the action of specific bioactive compounds in diverse biological systems. Honey bees provide high-quality products and a wide range of benefits to humans. Honey is certainly the most widespread edible bee product. However, nowadays other edible bee products [(royal jelly, propolis, pollen and naturally fermented pollen (bee bread)] are considered superfoods due to their high nutritional value and their beneficial effects on human health. This review aims to present current omics implementations in honey bee product research related to authentication (e.g. botanical origin, biomarker identification), adulteration detection, bioactivity (e.g. anti-microbial, antioxidant), microbiome characterization and their effects on human health. Conclusively, many studies have proven the tremendous potential of -omics technologies in bee product research. This approach will be further implemented in the future: (i) for the comprehensive assessment of bee product authentication, quality, safety and traceability; (ii) to elucidate the role of bioactive compounds in bee products, (iii) to identify novel molecular biomarkers for disease prevention; (iv) to establish the effect of bee products on gut microbiome; (v) to elucidate biological processes of agronomic interest and economic relevance to bee products.

Human papillomavirus 16 (HPV16) infection is the aetiologic factor for the development of cervical dysplasia and is regarded as highly carcinogen, because it is implicated in more than 50% of cervical cancer cases, worldwide. The tumourigenic potential of HPV16 has triggered the extensive sequence analysis of viral genome in order to identify nucleotide variations and amino acid substitutions that influence viral oncogenicity and subsequently the initiation and progression of cervical cancer. Nowadays, specific mutations of HPV16 DNA have been associated with an increased risk of high-grade squamous intraepithelial lesions and invasive cervical cancer (ICC) development, including E6 : Q14H, H78Y, L83V, Ε7 : N29S, S63F, E2 : H35Q, P219S, T310K, E5 : I65V, whereas highly conserved regions of viral DNA have been extensively characterised. In addition, numerous novel HPV16 mutations are observed among the studied populations from various geographic regions, hence advocating that different HPV16 strains seem to emerge with different tumourigenic capacities. The present review focuses on the variability of the early genes and the long control region, emphasising on the association of specific mutations with the development of severe dysplasia. Finally, it evaluates whether specific regions of HPV16 DNA are able to serve as valuable biomarkers for cervical cancer risk.

Molecular detection of HPV DNA is considered as the gold standard for the diagnosis of cervical disease. Although the molecular assays for the identification of HPV16 and HPV18 have helped identify cervical cancer incidents, they are restricted to specialized laboratories. Thus, we developed a novel 2-stage, nested-like nucleic acid amplification method, named IsoPCR, to amplify the E6 gene of HPV16 and HPV18 with high analytical sensitivity and specificity. The performance of IsoPCR was compared to that of conventional PCR and LAMP. The analytical sensitivity of IsoPCR (1 copy/test) was 10-fold higher than conventional PCR and 25-fold higher than conventional LAMP. IsoPCR displayed significant amplification specificity (100%) and efficiency, as well. In conclusion, IsoPCR is a highly sensitive and specific diagnostic tool and it is suitable for the detection of low copy number of viral DNA in clinical specimens, providing critical information to healthcare providers.

It has been suggested that microorganisms present in honey are a potential source of antimicrobial compounds. This study aimed to isolate and characterize bacteria from 46 Greek honey samples of diverse botanical and geographical origin and to determine whether these bacteria demonstrate antibacterial activity against five important nosocomial and foodborne pathogens. In total, 2014 bacterial isolates were obtained and screened for antibacterial activity. Overall, 16% of the isolates inhibited the growth of Staphylococcus aureus, 11.2% inhibited the growth of Pseudomonas aeruginosa and Acinetobacter baumannii, 10.2% inhibited the growth of Salmonella Typhimurium and 12.4% of the isolates affected the growth of Citrobacter freundii. In total, 316 isolates that inhibited the growth of more than two of the tested pathogens were grouped by restriction fragment length polymorphisms (RFLP) analysis of the 16S rRNA gene amplicon. Fifty of them were identified by 16S rRNA gene sequencing. The majority, 62% of the isolates, belonged to the genus Bacillus. Only 10% of the isolates were identified as Gram-negative bacteria. Furthermore, in several bacterial isolates, genes encoding polyketide synthases and nonribosomal peptide synthetases that catalyze the biosynthesis of secondary metabolites which might contribute to the exerted antimicrobial activity, were detected. This study demonstrates that honey microbiota exerts antimicrobial activity and is a putative source of secondary metabolites against important nosocomial and food pathogens that warrants further investigation.

Bee bread is the only fermented product of the beehive. It constitutes the main source of proteins, lipids, vitamins, and macro- and microelements in honeybee nutrition and it exerts antioxidant and antimicrobial properties, though research on these aspects has been limited so far. In this study 18 samples of Greek bee bread, two of which were monofloral, were collected during different seasons from diverse locations such as Crete and Mount Athos and were tested for their bioactivity. Samples were analyzed for their antibacterial properties, antioxidant activity, total phenolic content (TPC), and total flavonoid content (TFC). The antimicrobial activity of each sample was tested against Staphylococcus aureus, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Salmonella typhimurium. Our data demonstrate that all samples exert inhibitory and most of them bactericidal activity against at least two pathogens. Furthermore, all samples exert significant antioxidant activity, where the monofloral Castanea Sativa sample demonstrated superior antioxidant activity. Nevertheless, the antioxidant and antimicrobial activity were not strongly correlated. Furthermore, machine learning methods demonstrated that the palynological composition of the samples is a good predictor of their TPC and ABTS activity. This is the first study that focuses on the biological properties of Greek bee bread and demonstrates that bee bread can be considered a functional food and a possible source of novel antimicrobial compounds.

The aim of the present study was to compare the efficiency of targeted and untargeted breath analysis in the discrimination of lung cancer (Ca+) patients from healthy people (HC) and patients with benign pulmonary diseases (Ca−). Exhaled breath samples from 49 Ca+ patients, 36 Ca− patients and 52 healthy controls (HC) were analyzed by an SPME–GC–MS method. Untargeted treatment of the acquired data was performed with the use of the web-based platform XCMS Online combined with manual reprocessing of raw chromatographic data. Machine learning methods were applied to estimate the efficiency of breath analysis in the classification of the participants. Results: Untargeted analysis revealed 29 informative VOCs, from which 17 were identified by mass spectra and retention time/retention index evaluation. The untargeted analysis yielded slightly better results in discriminating Ca+ patients from HC (accuracy: 91.0%, AUC: 0.96 and accuracy 89.1%, AUC: 0.97 for untargeted and targeted analysis, respectively) but significantly improved the efficiency of discrimination between Ca+ and Ca− patients, increasing the accuracy of the classification from 52.9 to 75.3% and the AUC from 0.55 to 0.82. Conclusions: The untargeted breath analysis through the inclusion and utilization of newly identified compounds that were not considered in targeted analysis allowed the discrimination of the Ca+ from Ca− patients, which was not achieved by the targeted approach.

A pilot study was conducted from late October 2020 until mid-April 2021, aiming to examine the association between SARS-CoV-2 RNA concentrations in untreated wastewater and recorded COVID-19 cases in two Greek municipalities. A population of Random Forest and Linear Regression Machine Learning models was trained and evaluated incorporating the concentrations of SARS-CoV-2 RNA in 111 wastewater samples collected from the inlets of two Wastewater Treatment Plants, along with physicochemical parameters of the wastewater influent. The model's predictions were adequately associated with the 7-day cumulative cases with the correlation coefficients (after 5-fold cross validation) ranging from 0.754 to 0.960 while the mean relative errors ranged from 30.42% to 59.46%. Our results provide indications that wastewater-based predictions can be applied in diverse settings and in prolonged time periods, although the accuracy of these predictions may be mitigated. Wastewater-based epidemiology can support and strengthen epidemiological surveillance.

The aim of the present study was to investigate the ability of breath analysis to distinguish lung cancer (LC) patients from patients with other respiratory diseases and healthy people. The population sample consisted of 51 patients with confirmed LC, 38 patients with pathological computed tomography (CT) findings not diagnosed with LC, and 53 healthy controls. The concentrations of 19 volatile organic compounds (VOCs) were quantified in the exhaled breath of study participants by solid phase microextraction (SPME) of the VOCs and subsequent gas chromatography-mass spectrometry (GC-MS) analysis. Kruskal–Wallis and Mann–Whitney tests were used to identify significant differences between subgroups. Machine learning methods were used to determine the discriminant power of the method. Several compounds were found to differ significantly between LC patients and healthy controls. Strong associations were identified for 2-propanol, 1-propanol, toluene, ethylbenzene, and styrene (p-values < 0.001–0.006). These associations remained significant when ambient air concentrations were subtracted from breath concentrations. VOC levels were found to be affected by ambient air concentrations and a few by smoking status. The random forest machine learning algorithm achieved a correct classification of patients of 88.5% (area under the curve—AUC 0.94). However, none of the methods used achieved adequate discrimination between LC patients and patients with abnormal computed tomography (CT) findings. Biomarker sets, consisting mainly of the exogenous monoaromatic compounds and 1- and 2- propanol, adequately discriminated LC patients from healthy controls. The breath concentrations of these compounds may reflect the alterations in patient’s physiological and biochemical status and perhaps can be used as probes for the investigation of these statuses or normalization of patient-related factors in breath analysis.

HPV16 infection is found in more than 50 % of cervical cancer cases worldwide, triggering the development of numerous molecular techniques for viral diagnosis. The present study focuses on the development of a colorimetric IsoPCR for HPV16 DNA detection. The methodology combines the advantages of PCR and LAMP, while the most significant aspect of the new established methodology is the visual detection of amplification products through hydroxynapthol blue dye, thus minimizing the time and labor needed. An experimental cut-off value was tested through reconstitution experiments, while the specificity was evaluated by assessing clinical samples. The analytical sensitivity of the new colorimetric IsoPCR was found to be 0.1 viral DNA copy per reaction, while the specificity was 100 % for the detection of HPV16 DNA. The assay enabled the amplification of viral DNA in cases with viral load lower than 1 copy. In conclusion, the new established colorimetric IsoPCR can be regarded as an attractive molecular tool that facilitates the specific, rapid and highly sensitive visual detection of HPV16 DNA even at the very early stages of viral infection.

Aims The aim of the present study was to develop a colorimetric LAMP assay for the detection of enteroviruses belonging to species A-D targeting the 5' untranslated region (5' UTR) of enteroviruses genome. Methods and results The RNA was converted to cDNA by the reverse transcriptase and then amplified via LAMP by the WarmStart®Bst DNA polymerase, simultaneously in a single reaction tube, so we shortened the reaction time to 50 min. The sensitivity of the assay regarding Enterovirus B, C and D was determined to be 0·30 CCID50 assay-1 while the sensitivity for Enterovirus A was 3·00 CCID50 assay-1 . The assay demonstrated high specificity and sensitivity for the detection of 45 reference strains of Enteroviruses A-D and validated on 20 clinical isolates. Conclusions This assay can be used as a diagnostic tool for the rapid, sensitive and specific detection of enteroviruses, easily implemented in small clinical and research laboratories since LAMP amplicons were visualized by colour changes eliminating the requirement for post-amplification processing steps. Significance and impact of the study We developed a colorimetric assay ideal for field situations for the detection of enteroviruses, by targeting the 5' UTR. This assay demonstrated high specificity and sensitivity, based on its performance on 45 EV A-D reference strains, on 20 EV B clinical isolates and on three non-enteroviral RNA viruses.

Previous analyses have identified certain but limited evidence of recombination among HPV16 genomes, in accordance with a general perception that DNA viruses do not frequently recombine. In this evolutionary/bioinformatics study we have analyzed more than 3600 publicly available complete and partial HPV16 genomes. By studying the phylogenetic incongruence, similarity plots and the distribution patterns of lineage-specific SNPs, we identify several potential recombination events between the two major HPV16 evolutionary clades. These two clades comprise the (widely considered) phenotypically more benign (lower risk) lineage A and the (widely considered) phenotypically more aggressive (higher risk) non-European lineages B, C and D. We observe a frequency of potential recombinant sequences ranging between 0.3 and 1.2% which is low, but nevertheless considerable. Our findings have clinical implications and highlight that HPV16 genotyping and risk assessment based only on certain genomic regions and not the entire genome may provide a false genotype and, therefore, its associated risk estimate. Finally, based on this analysis, we have developed a bioinformatics tool that automates the entire process of HPV16 lineage genotyping, recombination detection and further identifies, within the submitted sequences, SNPs that have been reported in the literature to increase the risk of cancer.

Recombination has been recognized as a major mechanism of evolution in enteroviruses. The Echovirus 30 (E-30) strain Gior was sequenced and phylogenetically compared to all available E-30 sequences to detect recombination events between the 5΄UTR and VP1 genomic regions. The comparison of phylogenetic trees of the 5΄UTR and VP1 revealed incongruences concerning strains, lineages and sub-lineages. Comparative analysis of 62 E-30 sub-genomic sequences revealed six different recombination events that almost all occurred in the same region, having a start point in the 3΄end of the 5΄ UTR and end point in VP4. The only exception was the sub-lineage of Gior for which both borders of recombination were located in the 5΄UTR. These results describe for the first time recombination events in this region in circulating EV-B strains, revealing the exact points of these recombination events, highlighting the impact of such events on the evolution and epidemiology of enteroviruses.

In this report a strand specific RT-PCR was established for the detection of the replicative negative RNA strand of poliovirus sabin 1 (Sabin1) and Echovirus 19 (E19) strains. The key for the successful conduction of the assay was the use of a specific reverse transcription primer targeting the 5’-UTR of enteroviruses that consisted of a stem-loop structure at the 5’-end and an enteroviral-specific sequence at the 3’-end. The stem loop RT–PCR was found to be an accurate and sensitive method, detecting even 10-2 CCID50 of poliovirus sabin 1 (Sabin1) and E19 strains 6h post infection (p.i.), while CPE appeared three days later. This assay was also validated in SiHa and Caski cell lines that are not used for the detection of enteroviruses. The negative RNA strand was detected 6h and 12h p.i. in SiHa and Caski cells, when these cell lines were inoculated with 105 and 1 CCID50 respectively, whereas CPE was observed 5 days p.i for SiHa cells and 8 days p.i for Caski cells and that only at 105 CCID50. The results show that this approach may be used for replacing the time-consuming cell cultures in order to detect the active replication of enteroviruses. This article is protected by copyright. All rights reserved.

Monosaccharide transporters (MSTs) represent key components of the carbon transport and partitioning mechanisms in plants, mediating the cell-to-cell and long-distance distribution of a wide variety of monosaccharides. In this study, we performed a thorough structural, molecular, and physiological characterization of the monosaccharide transporter gene family in the model legume Medicago truncatula. The complete set of MST family members was identified with a novel bioinformatic approach. Prolonged darkness was used as a test condition to identify the relevant transcriptomic and metabolic responses combining MST transcript profiling and metabolomic analysis. Our results suggest that MSTs play a pivotal role in the efficient partitioning and utilization of sugars, and possibly in the mechanisms of carbon remobilization in nodules upon photosynthate-limiting conditions, as nodules are forced to acquire a new role as a source of both C and N.

The in-depth study of protein–protein interactions (PPIs) is of key importance for understanding how cells operate. Therefore, in the past few years, many experimental as well as computational approaches have been developed for the identification and discovery of such interactions. Here, we present UniReD, a user-friendly, computational prediction tool which analyses biomedical literature in order to extract known protein associations and suggest undocumented ones. As a proof of concept, we demonstrate its usefulness by experimentally validating six predicted interactions and by benchmarking it against public databases of experimentally validated PPIs succeeding a high coverage. We believe that UniReD can become an important and intuitive resource for experimental biologists in their quest for finding novel associations within a protein network and a useful tool to complement experimental approaches (e.g. mass spectrometry) by producing sorted lists of candidate proteins for further experimental validation. UniReD is available at http://bioinformatics.med.uoc.gr/unired/

Enteroviruses are positive sense single-stranded RNA viruses. Most infections from enteroviruses are asymptomatic and can circulate “silently”, increasing the risk of an outbreak. For preventing such outbreaks, a rapid, cost-effective, and simple assay for the detection of enteroviruses is of great importance. In this study, we developed a rapid, simple, sensitive, and specific isothermal reverse transcription assay (RT-Loop-Mediated Amplification, RT-LAMP) for the detection of EV-A, B, C, and D species of enteroviruses, by targeting the highly conserved 5′UTR region. The assay was designed and validated based on reference sequences of the four species and on clinical and environmental isolates. The limit of detection of the assay is 0.75 CCID50/assay for Enterovirus A, B, and D and 0.075 CCID50/assay for Enterovirus C. LAMP allows immediate diagnosis in just 30–50 min, instead of a minimum of 120 min needed for PCR with an equal or better sensitivity. Moreover, due to its isothermal nature, there is no need for expensive equipment, thus decreasing the cost of each reaction. Therefore, this assay is ideal for use in resource-limited settings such as primary care facilities and environmental and clinical laboratories in developing countries.

Bee-collected pollen (BCP) is a well-known functional food. Honey bees process the collected pollen and store it in the hive, inside the comb cells. The processed pollen is called bee- bread or ambrosia and it is the main source of proteins, lipids, vitamins, macro-and micro-elements in honey bee nutrition. During storage, beebread undergoes solid state fermentation which preserves it and increases the bioavailability of nutrients. Research on beebread has been rather limited until now. In recent years, there is an increasing interest regarding the antimicrobial properties of BCP and beebread, due to emerging antimicrobial resistance by pathogens. Both BCP and beebread exhibit antimicrobial properties against diverse pathogens, like bacteria and fungi. As is the case with other bee products, lack of antimicrobial resistance might be attributed to the synergy of more than one antimicrobial compounds within BCP and beebread. Furthermore, BCP and bee bread exert targeted activity against pathogens and affect the host microbiome in a prebiotic manner. This review aims to present up to date research findings regarding these aspects as well as to discuss current challenges and future perspectives in the field.

Nucleobase transporters are important for supplying the cell with purines and/or pyrimidines, for controlling the intracellular pool of nucleotides, and for obtaining exogenous nitrogen/carbon sources for metabolism. Nucleobase transporters are also evaluated as potential targets for antimicrobial therapies, since several pathogenic microorganisms rely on purine/pyrimidine salvage from their hosts. The majority of known nucleobase transporters belong to the evolutionarily conserved and ubiquitous nucleobase-ascorbate transporter/nucleobase-cation symporter-2 (NAT/NCS2) protein family. Based on a large-scale phylogenetic analysis that we performed on thousands of prokaryotic proteomes, we developed a webserver that can detect and distinguish this family of transporters from other homologous families that recognize different substrates. We can further categorize these transporters to certain evolutionary groups with distinct substrate preferences. The webserver scans whole proteomes and graphically displays which proteins are identified as NAT/NCS2, to which evolutionary groups and subgroups they belong to, and which conserved motifs they have. For key subgroups and motifs, the server displays annotated information from published crystal-structures and mutational studies pointing to key functional amino acids that may help experts assess the transport capability of the target sequences. The server is 100% accurate in detecting NAT/NCS2 family members. We also used the server to analyze 9,109 prokaryotic proteomes and identified Clostridia, Bacilli, β- and γ-Proteobacteria, Actinobacteria, and Fusobacteria as the taxa with the largest number of NAT/NCS2 transporters per proteome. An analysis of 120 representative eukaryotic proteomes also demonstrates the server's capability of correctly analyzing this major lineage, with plants emerging as the group with the highest number of NAT/NCS2 members per proteome.

Recombination is a driving force for the emergence, evolution and virulence/epidemics of viruses, comprising the Enterovirus genus of the Picornaviridae family, important for human and animal health. By analyzing 2949 complete genomes/coding sequences, we provide a thorough and up-to-date overview of the genome-wide patterns and hotspots of intertypic recombination between the genogroups of this genus. Two prominent recombination hotspots are identified/verified, at the 5'UTR-capsid region junction, and at the beginning of the P2 region. In general, P2 was enriched in recombination events. Key phylogenetic groups implicated in recombination events are E71 and CVA6 in Enterovirus A species, E30 and E6 in Enterovirus B species, polioviruses 1 and 2 in Enterovirus C species. In addition, many events involve recombination partners that have not been sequenced yet, thus strongly suggesting a large environmental reservoir of genetic variation with a high potential for the emergence of new modified pathogens by recombination.

Echovirus 3 (E3) serotype has been related with several neurologic diseases, although it constitutes one of the rarely isolated serotypes, with no report of epidemics in Europe. The aim of the present study was to provide insights into the molecular epidemiology and evolution of this enterovirus serotype, while an E3 strain was isolated from sewage in Greece, four years after the initial isolation of the only reported E3 strain in the same geographical region. Phylogenetic analysis of the complete VP1 genomic region of that E3 strain and of those available in GenBank suggested three main genogroups that were further subdivided into seven subgenogroups. Further evolutionary analysis suggested that VP1 genomic region of E3 was dominated by purifying selection, as the vast majority of genetic diversity presumably occurred through synonymous nucleotide substitutions and the substitution rate for complete and partial VP1 sequences was calculated to be 8.13×10(-3) and 7.72×10(-3) substitutions/site/year respectively. The partial VP1 sequence analysis revealed the composite epidemiology of this serotype, as the strains of the three genogroups presented different epidemiological characteristics.

The tumor suppressor protein p16 plays a fundamental role in cell cycle regulation and exerts a protective effect against tumor growth. Two different polymorphisms at positions 540 and 580 at the 3'UTR of exon 3 of p16 gene are implicated in several types of cancer, while their role in cervical cancer development remains rather vague. In the present study, we investigated for the impact of p16 genotypes/haplotypes on patients' vulnerability to cervical disease and examined whether these factors can be used as progression markers in the Greek population. A total of 96 HPV16 positive samples and histologically confirmed as LSIL (42 samples), HSIL (44 samples), and cervical cancer cases (10 samples) along with 50 control cases were tested. The identification of p16 polymorphisms was performed by PCR-RFLP methodology. The present analysis revealed that women with p16 540 CG/GG genotype are at a 2.7-fold higher risk of developing HPV16-associated HSIL (OR = 2.7, 95%CI: 1.01-6.6, P = 0.028). The G allele can be regarded as a risk factor of developing HSIL in the Greek population (OR = 2.7, 95%CI: 1.2-5.9, P = 0.012). Moreover, p16 polymorphism C580T is not associated with the growth of cervical lesion in Greek patients, while 540G/580C haplotype can be regarded as a risk haplotype of developing HSIL (OR = 3.67, 95%CI: 1.56-8.6, P = 0.0019). Our results demonstrated that p16 C540G polymorphism influence patients' susceptibility to more severe dysplasia and consequently this polymorphism could potentially emerge as a valuable biomarker for HSIL development in the Greek population.

Background Phosphorylation is the most frequent post-translational modification made to proteins and may regulate protein activity as either a molecular digital switch or a rheostat. Despite the cornucopia of high-throughput (HTP) phosphoproteomic data in the last decade, it remains unclear how many proteins are phosphorylated and how many phosphorylation sites (p-sites) can exist in total within a eukaryotic proteome. We present the first reliable estimates of the total number of phosphoproteins and p-sites for four eukaryotes (human, mouse, Arabidopsis, and yeast). Results In all, 187 HTP phosphoproteomic datasets were filtered, compiled, and studied along with two low-throughput (LTP) compendia. Estimates of the number of phosphoproteins and p-sites were inferred by two methods: Capture-Recapture, and fitting the saturation curve of cumulative redundant vs. cumulative non-redundant phosphoproteins/p-sites. Estimates were also adjusted for different levels of noise within the individual datasets and other confounding factors. We estimate that in total, 13 000, 11 000, and 3000 phosphoproteins and 230 000, 156 000, and 40 000 p-sites exist in human, mouse, and yeast, respectively, whereas estimates for Arabidopsis were not as reliable. Conclusions Most of the phosphoproteins have been discovered for human, mouse, and yeast, while the dataset for Arabidopsis is still far from complete. The datasets for p-sites are not as close to saturation as those for phosphoproteins. Integration of the LTP data suggests that current HTP phosphoproteomics appears to be capable of capturing 70 % to 95 % of total phosphoproteins, but only 40 % to 60 % of total p-sites.

Background: \ud \ud Many computational tools that detect recombination in viruses are not adapted for the ongoing genomic revolution. A computational tool is needed, that will rapidly scan hundreds/thousands of genomes or sequence fragments and detect candidate recombination events that may later be further analyzed with more sensitive and specialized methods.\ud \ud Results: \ud \ud T-RECs, a Windows based graphical tool, employs pairwise alignment of sliding windows and can perform (i) genotyping, (ii) clustering of new genomes, (iii) detect recent recombination events among different evolutionary lineages, (iv) manual inspection of detected recombination events by similarity plots and (v) annotation of genomic regions.\ud \ud Conclusions: \ud \ud T-RECs is very effective, as demonstrated by an analysis of 555 Norovirus complete genomes and 2500 sequence fragments, where a recombination hotspot was identified at the ORF1-ORF2 junction.

Human enteroviruses (EV) belong to the Picornaviridae family and are among the most common viruses infecting humans. They consist of up to 100 immunologically and genetically distinct types: polioviruses, coxsackieviruses A and B, echoviruses, and the more recently characterized 43 EV types. Frequent recombinations and mutations in enteroviruses have been recognized as the main mechanisms for the observed high rate of evolution, thus enabling them to rapidly respond and adapt to new environmental challenges. The first signs of genetic exchanges between enteroviruses came from polioviruses many years ago, and since then recombination has been recognized, along with mutations, as the main cause for reversion of vaccine strains to neurovirulence. More recently, non-polio enteroviruses became the focus of many studies, where recombination was recognized as a frequent event and was correlated with the appearance of new enterovirus lineages and types. The accumulation of multiple inter- and intra-typic recombination events could also explain the series of successive emergences and disappearances of specific enterovirus types that could in turn explain the epidemic profile of circulation of several types. This review focuses on recombination among human non-polio enteroviruses from all four species (EV-A, EV-B, EV-C, and EV-D) and discusses the recombination effects on enterovirus epidemiology and evolution.

Human papillomavirus (HPV) 16 genome integration into the host chromosome is a crucial event during the life cycle of the virus and a major step towards carcinogenesis. The integration of HPV16 DNA promotes a constitutive high expression level of E6 and E7 oncoproteins, resulting in the extensive proliferation of the infected epithelial cells. In the present report the physical status of the HPV16 genome was studied, through determination of E1/E6 and E2/E6 DNA copy number ratios in 61 cervical samples of low- and high-grade malignancy and 8 cervical cancer samples, all of them associated with HPV16 infection. The selection of E1, E2 and E6 amplification target regions was performed according to the most prevalent deleted/disrupted sites of E1 and E2 genes. For this target selection we also considered the most conserved regions of E1, E2 and E6 genes among the same HPV16 isolates that were recently reported by our group. The analysis of HPV16 DNA form revealed a significant association among the mixed DNA forms in low-grade and high-grade malignancies, (χ2, P

Little cherry virus 1 (LChV-1), a member of the recently proposed genus Velarivirus, is a sweet cherry pathogen that has been recently reported to infect other Prunus species and is associated with various plant disorders. In this work the incidence of the virus on its putative hosts and possible mechanisms driving its evolution were investigated. Due to problems encountered with LChV-1 detection, a new nested RT-PCR assay was developed and applied. The virus was found to be prevalent in cherry plantations in Greece and only occasionally detected in other Prunus species. Sequences corresponding to the partial RNA-dependent RNA polymerase (RdRp), heat-shock protein homologue (HSP70h) and coat protein (CP) genes were determined from Greek LChV-1 isolates originating from different hosts; these were analysed, along with published homologous genomic regions from other isolates. Phylogenetic analysis of the three genes revealed the segregation of four evolutionary distinct groups showing no host or geography-based clustering. Mean genetic distances among the four groups were high with the CP region showing the highest divergence, although intragroup variability levels were low. Nevertheless, estimations of the mean ratio of nonsynonymous substitutions per synonymous site to synonymous substitutions per synonymous site (dN/dS) for the partial RdRp, HSP70h and CP indicated that these genomic regions are under negative selection pressure. Interestingly, a recombination event was identified at the 3 0 end of RdRp on a Greek virus isolate, thus highlighting the role of this mechanism in the evolutionary history of LChV-1.

Noroviruses (NoVs) are a major causative agent of acute gastroenteritis in humans. They are members of the Caliciviridae family and based on the genetic analysis of the RdRp and capsid regions, human NoVs are divided into three genogroups (Gs), GI, GII, and GIV. The three genogroups further segregate into distinct lineages called genotypes. The NoV genus is genetically diverse and recombination of viral RNA is known to depend upon various immunological and intracellular constraints that may allow the emergence of viable recombinants. In this study, three Noroviral strains detected in clinical samples revealed two hitherto unobserved recombination events between GII.9/GII.4 and GII.9/GI.7 genogroups. To our knowledge, these intergenotype and intergenogroup recombination events of GII.9/GII.4 and GII.9/GI.7, in ORF1 and ORF2 genes respectively are reported for the first time and highlight the ongoing evolution of noroviruses.

The E1 ORF is one of the most conserved regions in the human papillomavirus (HPV) genome. The complete E1 gene of the HPV16 genome was amplified with four overlapping primer sets in 16 high-grade (CIN II, III) and 13 low-grade cervical (CIN I) intraepithelial neoplasias as well as in one cervical cancer case. Sequence analysis of the E6 and E7 genes was also carried out in the same cervical samples in order to confirm the association between nucleotide sequence variations in the HPV16 E1 ORF and HPV16 variant lineages. Analysis of the E1 ORF revealed 27 nucleotide changes, and these changes were correlated with those found in HPV16 Asian American and African type II variants. Of these nucleotide variations, A1668G, G2073A, T2169C, T2189C, A2453T, C2454T, A2587T and G2650A were identified only in high-grade dysplasia cases. A phylogenetic tree of the E1 ORF and nucleotide sequence analysis of the E1, E6 and E7 genes revealed that intratypic nucleotide sequence polymorphisms located in the E1 ORF can be used to identify the major phylogenetic branch to which a HPV16 genome belongs. Moreover, amplification of the E1 ORF revealed a disruption between nucleotides 878 and 1523 in five high- and two low-grade cervical cases, indicating that integration of HPV DNA occurs at an early stage of viral infection.

The European brown hare (Lepus europaeus, Pallas 1778) is an important small game species in Europe. Due to its size and position in the food chain, as well as its life history, phenotypic variation and the relatively recent speciation events, brown hare plays an important role in the structure of various ecosystems and has emerged as an important species for population management and evolutionary studies. In order to identify informative SNPs for such studies, heart and liver tissues of three samples from the European lineage and a three-sample pool from the Anatolian lineage were subjected to RNA-Sequencing analysis. This effort resulted in 9496 well-assembled protein-coding sequences with close homology to human. After applying very stringent filtering criteria, 66185 polymorphic sites were identified in 7665 genes/cds and 2050 of those polymorphic sites are potentially capable of distinguishing the European from the Anatolian lineage. From these distinguishing mutations we focused on those in genes that are involved in cellular energy production, namely the glycolysis, Krebs cycle and the OXPHOS machinery. A selected set of SNPs was also validated by Sanger sequencing. By simulating the three European individuals as one pool, no substantial informative-SNP identification was lost, making it a cost-efficient approach. To our knowledge this is the first attempt to correlate the differentiation in both nuclear and mitochondrial genome between the two different lineages of L. europaeus with the observed spatial partitioning of the lineages of the species, proposing a possible mechanism that is maintaining the reproductive isolation of the lineages.

During the last decade, there has been great progress in high-throughput (HTP) phosphoproteomics and hundreds or even thousands of phosphorylation sites (p-sites) can now be detected in a single experiment. This success is attributable to a combination of very sensitive Mass Spectrometry instruments, better phosphopeptide enrichment techniques and bioinformatics software that are capable of detecting peptides and localizing p-sites. These new technologies have opened up a whole new level of gene regulation to be studied, with great potential for therapeutics and synthetic biology. Nevertheless, many challenges remain to be resolved; these concern the biases and noise of these proteomic technologies, the biological noise that is present, as well as the incompleteness of the current datasets. Despite these problems, the datasets published so far appear to represent a good sample of a complete phosphoproteome of some organisms and are capable of revealing their major properties.

Paper documents in archives, libraries, and museums often undergo biodeterioration by microorganisms. Fungi and less often bacteria have been described to advance paper staining, so called “foxing” and degradation of paper substrates. In this study, for the first time, the fungal and bacterial diversity in biodeteriorated paper documents of Hellenic General State Archives dating back to the 19th and 20th century has been assessed by culture‐dependent and independent methods. The internally transcribed spacer (ITS) region and 16S rRNA gene were amplified by PCR from fungal and bacterial isolates and amplicons were sequenced. Sequence analysis and phylogeny revealed fungal phylotypes like Penicillium sp., Cladosporium sp., Penicillium citrinum, Alternaria infectoria, Alternaria alternata, Epicoccum nigrum, and Penicillium chrysogenum which are often implicated in paper deterioration. Bacterial phylotypes closely related to known biodeteriogenic bacteria such as Bacillus spp., Micrococcus spp., Kocuria sp. in accordance with previous studies were characterized. Among the fungal phylotypes described in this study are included well‐known allergens such as Penicillium spp., Alternaria spp., and Cladosporium spp. that impose a serious health threat on staff members and scholars. Furthermore, fungal isolates such as Chalastospora gossypii and Trametes ochracea have been identified and implicated in biodeterioration of historical paper manuscripts in this study for the first time. Certain new or less known fungi and bacteria implicated in paper degradation were retrieved, indicating that particular ambient conditions, substrate chemistry, or even location might influence the composition of colonizing microbiota.