野生中缅鼩病毒携带情况的初步调查

病毒学检测和监测是树鼩实验动物化和质量控制的重要标准和依据,而野生中缅树鼩是否携带人兽共患病毒鲜见报道。本研究采用酶联免疫吸附(ELISA)方法,对来源于云南昆明市城郊青龙峡地区的野生树鼩是否携带单纯疱疹病毒、轮状病毒、流感病毒、柯萨奇病毒、甲肝病毒、乙肝病毒、丙肝病毒、丁肝病毒、登革热病毒、出血热病毒和麻疹病毒等11种常见病毒进行筛查。结果表明,在已筛查的60只野生中缅树鼩中,可检测到单纯疱疹病毒和柯萨奇病毒,其血清抗体阳性比例分别为36.7%(22/60)和1.67%(1/60),而在粪便中仅检测到轮状病毒,其抗原阳性为6.7%(4/60),未检测到其他病毒,初步显示了野生树鼩自然状态下携带病毒的状况。为此,建议将单纯疱疹病毒、柯萨奇病毒和轮状病毒列为普通级树鼩病毒质量控制的首检项目,进一步大样本筛查将显示是否将其他病毒列为必检项目。     

Prediction of tyrosine sulfation sites in animal viruses

Post-translational modification of proteins by tyrosine sulfation enhances the affinity of extracellular ligand-receptor interactions important in the immune response and other biological processes in animals. For example, sulfated tyrosines in polyomavirus and varicella-zoster virus may help modulate host cell recognition and facilitate viral attachment and entry. Using a Position-Specific-Scoring-Matrix with an accuracy of 96.43%, we analyzed the possibility of tyrosine sulfation in all 1517 animal viruses available in the Swiss-Prot database. From a total of 97,729 tyrosines, we predicted 5091 sulfated tyrosine sites from 1024 viruses. Our site predictions in hemagglutinin of influenza A, VP4 of rotavirus, and US28 of cytomegalovirus strongly suggest an important link between tyrosine sulfation and viral disease mechanisms. In each of these three viral proteins, we observed highly conserved amino acid sequences surrounding predicted sulfated tyrosine sites. Tyrosine sulfation appears to be much more common in animal viruses than is currently recognized.     

FIGfams: yet another set of protein families

We present FIGfams, a new collection of over 100 000 protein families that are the product of manual curation and close strain comparison. Using the Subsystem approach the manual curation is carried out, ensuring a previously unattained degree of throughput and consistency. FIGfams are based on over 950 000 manually annotated proteins and across many hundred Bacteria and Archaea. Associated with each FIGfam is a two-tiered, rapid, accurate decision procedure to determine family membership for new proteins. FIGfams are freely available under an open source license. These can be downloaded at ftp://ftp.theseed.org/FIGfams/. The web site for FIGfams is http://www.theseed.org/wiki/FIGfams/     

Relating Diseases by Integrating Gene Associations and Information Flow through Protein Interaction Network

Identifying similar diseases could potentially provide deeper understanding of their underlying causes, and may even hint at possible treatments. For this purpose, it is necessary to have a similarity measure that reflects the underpinning molecular interactions and biological pathways. We have thus devised a network-based measure that can partially fulfill this goal. Our method assigns weights to all proteins (and consequently their encoding genes) by using information flow from a disease to the protein interaction network and back. Similarity between two diseases is then defined as the cosine of the angle between their corresponding weight vectors. The proposed method also provides a way to suggest disease-pathway associations by using the weights assigned to the genes to perform enrichment analysis for each disease. By calculating pairwise similarities between 2534 diseases, we show that our disease similarity measure is strongly correlated with the probability of finding the diseases in the same disease family and, more importantly, sharing biological pathways. We have also compared our results to those of MimMiner, a text-mining method that assigns pairwise similarity scores to diseases. We find the results of the two methods to be complementary. It is also shown that clustering diseases based on their similarities and performing enrichment analysis for the cluster centers significantly increases the term association rate, suggesting that the cluster centers are better representatives for biological pathways than the diseases themselves. This lends support to the view that our similarity measure is a good indicator of relatedness of biological processes involved in causing the diseases. Although not needed for understanding this paper, the raw results are available for download for further study at ftp://ftp.ncbi.nlm.nih.gov/pub/qmbpmn/DiseaseRelations/.     

Preparative isolation of basic structural proteins of the influenza virus]

The schemes for preparative electrophoretic isolation and purification of major proteins from influenza virus are described. The viral envelope protein, hemagglutinin, two of its subunits, internal M and NP proteins of influenza viruses A/FPV/Rostock (H7N1), A/PR/8/34 (H1N1) and X-31 (H3N2) were obtained in preparative amounts and characterized by amino acid and N-terminus analyses.     

IFITMs Restrict the Replication of Multiple Pathogenic Viruses

The interferon-inducible transmembrane protein (IFITM) family inhibits a growing number of pathogenic viruses, among them influenza A virus, dengue virus, hepatitis C virus, and Ebola virus. This review covers recent developments in our understanding of the IFITM's molecular determinants, potential mechanisms of action, and impact on pathogenesis.     

Combining experimental and predicted datasets for determination of the subcellular location of proteins in Arabidopsis

Substantial experimental datasets defining the subcellular location of Arabidopsis (Arabidopsis thaliana) proteins have been reported in the literature in the form of organelle proteomes built from mass spectrometry data (approximately 2,500 proteins). Subcellular location for specific proteins has also been published based on imaging of chimeric fluorescent fusion proteins in intact cells (approximately 900 proteins). Further, the more diverse history of biochemical determination of subcellular location is stored in the entries of the Swiss-Prot database for the products of many Arabidopsis genes (approximately 1,800 proteins). Combined with the range of bioinformatic targeting prediction tools and comparative genomic analysis, these experimental datasets provide a powerful basis for defining the final location of proteins within the wide variety of subcellular structures present inside Arabidopsis cells. We have analyzed these published experimental and prediction data to answer a range of substantial questions facing researchers about the veracity of these approaches to determining protein location and their interrelatedness. We have merged these data to form the subcellular location database for Arabidopsis proteins (SUBA), providing an integrated understanding of protein location, encompassing the plastid, mitochondrion, peroxisome, nucleus, plasma membrane, endoplasmic reticulum, vacuole, Golgi, cytoskeleton structures, and cytosol (www.suba.bcs.uwa.edu.au). This includes data on more than 4,400 nonredundant Arabidopsis protein sequences. We also provide researchers with an online resource that may be used to query protein sets or protein families and determine whether predicted or experimental location data exist; to analyze the nature of contamination between published proteome sets; and/or for building theoretical subcellular proteomes in Arabidopsis using the latest experimental data.     

Chicken Interferon-Inducible Transmembrane Protein 3 Restricts Influenza Viruses and Lyssaviruses In Vitro

Interferon-inducible transmembrane protein 3 (IFITM3) is an effector protein of the innate immune system. It confers potent, cell-intrinsic resistance to infection by diverse enveloped viruses both in vitro and in vivo, including influenza viruses, West Nile virus, and dengue virus. IFITM3 prevents cytosolic entry of these viruses by blocking complete virus envelope fusion with cell endosome membranes. Although the IFITM locus, which includes IFITM1, -2, -3, and -5, is present in mammalian species, this locus has not been unambiguously identified or functionally characterized in avian species. Here, we show that the IFITM locus exists in chickens and is syntenic with the IFITM locus in mammals. The chicken IFITM3 protein restricts cell infection by influenza A viruses and lyssaviruses to a similar level as its human orthologue. Furthermore, we show that chicken IFITM3 is functional in chicken cells and that knockdown of constitutive expression in chicken fibroblasts results in enhanced infection by influenza A virus. Chicken IFITM2 and -3 are constitutively expressed in all tissues examined, whereas IFITM1 is only expressed in the bursa of Fabricius, gastrointestinal tract, cecal tonsil, and trachea. Despite being highly divergent at the amino acid level, IFITM3 proteins of birds and mammals can restrict replication of viruses that are able to infect different host species, suggesting IFITM proteins may provide a crucial barrier for zoonotic infections.     

Introduction of Virulence Markers in PB2 of Pandemic Swine-Origin Influenza Virus Does Not Result in Enhanced Virulence or Transmission

In the first 6 months of the H1N1 swine-origin influenza virus (S-OIV) pandemic, the vast majority of infections were relatively mild. It has been postulated that mutations in the viral genome could result in more virulent viruses, leading to a more severe pandemic. Mutations E627K and D701N in the PB2 protein have previously been identified as determinants of avian and pandemic influenza virus virulence in mammals. These mutations were absent in S-OIVs detected early in the 2009 pandemic. Here, using reverse genetics, mutations E627K, D701N, and E677G were introduced into the prototype S-OIV A/Netherlands/602/2009, and their effects on virus replication, virulence, and transmission were investigated. Mutations E627K and D701N caused increased reporter gene expression driven by the S-OIV polymerase complex. None of the three mutations affected virus replication in vitro. The mutations had no major impact on virus replication in the respiratory tracts of mice and ferrets or on pathogenesis. All three mutant viruses were transmitted via aerosols or respiratory droplets in ferrets. Thus, the impact of key known virulence markers in PB2 in the context of current S-OIVs was surprisingly small. This study does not exclude the possibility of emergence of S-OIVs with other virulence-associated mutations in the future. We conclude that surveillance studies aimed at detecting S-OIVs with increased virulence or transmission should not rely solely on virulence markers identified in the past but should include detailed characterization of virus phenotypes, guided by genetic signatures of viruses detected in severe cases of disease in humans.The new H1N1 swine-origin influenza virus (S-OIV) recently emerged to cause the first influenza pandemic in 40 years (2). The S-OIV presumably emerged from pigs, as its genome was shown to consist of six gene segments of “triple-reassortant” swine viruses and two of “Eurasian lineage” swine viruses (9). The start of the S-OIV pandemic has been relatively mild, with a clinical spectrum ranging from mild upper respiratory tract illness to sporadic cases of severe pneumonia leading to acute respiratory distress syndrome (22). As of 15 November 2009, worldwide, more than 206 countries have reported laboratory-confirmed cases of S-OIV infection, including over 6,770 deaths (32).In previous influenza pandemics, such as the Spanish influenza pandemic of 1918 and the Hong Kong influenza pandemic of 1968, a first wave of cases of relatively mild illnesses was followed by more severe subsequent waves (29). The reason for this increased severity has remained largely unknown, but one possible explanation could be that the pandemic viruses required further adaptation to the human host, resulting in the emergence of viruses that were more virulent than those of the first wave. Such adaptive changes could occur by gene reassortment between cocirculating influenza A viruses or by mutation.In the past decade, determinants of influenza A virus virulence have been mapped using reverse genetics with a variety of pandemic, epidemic, and zoonotic influenza viruses. Mutations affecting virulence and host range have frequently been mapped to hemagglutinin (HA) and neuraminidase (NA) in relation to their interaction with sialic acids, the virus receptors on host cells (11, 18, 30). Nonstructural protein 1 (NS1) has been implicated in the virulence of highly pathogenic avian influenza (HPAI) virus H5N1 and the 1918 H1N1 virus, as the NS1 proteins of these viruses were shown to act as strong antagonists of the interferon pathways (10, 25). Furthermore, the polymerase genes, in particular the PB2 gene, have been shown to be important determinants of virulence in the HPAI H5N1 and H7N7 viruses and of transmission in the 1918 H1N1 virus (11, 21, 31). One of the most commonly identified virulence markers to date is E627K in PB2. The glutamic acid (E) residue is found generally in avian influenza viruses, while human viruses have a lysine (K), and this mutation has been described as a determinant of the host range in vitro (28). When avian viruses lacking the E627K substitution were passaged in mice, the viruses acquired the mutation spontaneously upon a single passage (15, 17). In the HPAI H5N1 and H7N7 viruses, E627K was shown to be the prime determinant of pathogenesis in mice (11, 21, 23). Given that all human and many zoonotic influenza viruses of the last century contained 627K (1), it was surprising that the S-OIV had 627E.Additionally, the aspartate (D)-to-asparagine (N) mutation at position 701 of PB2, which was shown to compensate for the absence of E627K, has also not been detected in S-OIV (27). This D701N mutation has previously been shown to expand the host range of avian H5N1 to mice and humans (3, 15) and to increase virus transmission in guinea pigs (27). Thus, S-OIV was the first known human pandemic virus with 627E and 701D, and it has been speculated that S-OIV could mutate into a more virulent form by acquiring one of these mutations, or both.On 8 May 2009, the detection of another mutation in the PB2 gene of S-OIV, an E-to-glycine (G) mutation at position 667, was reported (http://www.promedmail.org/pls/apex/f?p=2400:1000, archive no. 20090508.1722). It has previously been suggested that the E667G substitution in PB2 of HPAI H5N1 virus was under positive selection and possibly played a role in sustainable transmission in humans (14).On 28 September 2009, detection of the E627K mutation in PB2 of S-OIVs of two individuals in the Netherlands was reported (http://www.promedmail.org/pls/apex/f?p=2400:1000, archive no. 20090928.3394) and raised concern about the possible enhanced replication of the S-OIV in humans, possibly associated with increased virulence. To date, the D701N mutation in PB2 has not been reported in any of the S-OIVs sequenced, and additional viruses with mutation E627K have not been recorded, either. In contrast, viruses with E677G have been reported from the United States, Canada, Germany, the United Kingdom, Norway, and France, according to the public sequence databases.Here, the effects of the E627K, D701N, and E677G mutations in the PB2 genes of S-OIVs was investigated using genetically engineered influenza viruses based on a prototype S-OIV, A/Netherlands/602/2009. Polymerase activity was measured in minigenome assays in human 293T cells, virus replication was analyzed in Madin-Darby Canine kidney (MDCK) cells, virulence was tested in mouse and ferret models, and transmission by aerosols or respiratory droplets was tested in ferrets. In contrast to the earlier assumptions based on experience with other influenza A viruses, S-OIVs with E627K, D701N, or E677G in PB2 did not show a marked increase in virulence or transmission compared to the wild-type virus.     

ClassyFlu: Classification of Influenza A Viruses with Discriminatively Trained Profile-HMMs

Accurate and rapid characterization of influenza A virus (IAV) hemagglutinin (HA) and neuraminidase (NA) sequences with respect to subtype and clade is at the basis of extended diagnostic services and implicit to molecular epidemiologic studies. ClassyFlu is a new tool and web service for the classification of IAV sequences of the HA and NA gene into subtypes and phylogenetic clades using discriminatively trained profile hidden Markov models (HMMs), one for each subtype or clade. ClassyFlu merely requires as input unaligned, full-length or partial HA or NA DNA sequences. It enables rapid and highly accurate assignment of HA sequences to subtypes H1–H17 but particularly focusses on the finer grained assignment of sequences of highly pathogenic avian influenza viruses of subtype H5N1 according to the cladistics proposed by the H5N1 Evolution Working Group. NA sequences are classified into subtypes N1–N10. ClassyFlu was compared to semiautomatic classification approaches using BLAST and phylogenetics and additionally for H5 sequences to the new “Highly Pathogenic H5N1 Clade Classification Tool” (IRD-CT) proposed by the Influenza Research Database. Our results show that both web tools (ClassyFlu and IRD-CT), although based on different methods, are nearly equivalent in performance and both are more accurate and faster than semiautomatic classification. A retraining of ClassyFlu to altered cladistics as well as an extension of ClassyFlu to other IAV genome segments or fragments thereof is undemanding. This is exemplified by unambiguous assignment to a distinct cluster within subtype H7 of sequences of H7N9 viruses which emerged in China early in 2013 and caused more than 130 human infections. http://bioinf.uni-greifswald.de/ClassyFlu is a free web service. For local execution, the ClassyFlu source code in PERL is freely available.     

Recombinant viral sialate-O-acetylesterases

Viral O-acetylesterases were first identified in several viruses, including influenza C viruses and coronaviruses. These enzymes are capable of removing cellular receptors from the surface of target cells. Hence they are also known as receptor destroying enzymes. We have cloned and expressed several recombinant viral O-acetylesterases. These enzymes were secreted from Sf9 insect cells as chimeric proteins fused to eGFP. A purification scheme to isolate the recombinant O-acetylesterase of influenza C virus was developed. The recombinant enzymes derived from influenza C viruses specifically hydrolyze 9-O-acetylated sialic acids, while that of sialodacryoadenitis virus, a rat coronavirus related to mouse hepatitis virus, is specific for 4-O-acetylated sialic acid. The recombinant esterases were shown to specifically de-O-acetylate sialic acids on glycoconjugates. We have also expressed esterase knockout proteins of the influenza C virus hemagglutinin-esterase. The recombinant viral proteins can be used to unambiguously identify O-acetylated acids in a variety of assays. Published in 2004..     

Analysis of viral diversity for vaccine target discovery

Background

Viral vaccine target discovery requires understanding the diversity of both the virus and the human immune system. The readily available and rapidly growing pool of viral sequence data in the public domain enable the identification and characterization of immune targets relevant to adaptive immunity. A systematic bioinformatics approach is necessary to facilitate the analysis of such large datasets for selection of potential candidate vaccine targets.

Results

This work describes a computational methodology to achieve this analysis, with data of dengue, West Nile, hepatitis A, HIV-1, and influenza A viruses as examples. Our methodology has been implemented as an analytical pipeline that brings significant advancement to the field of reverse vaccinology, enabling systematic screening of known sequence data in nature for identification of vaccine targets. This includes key steps (i) comprehensive and extensive collection of sequence data of viral proteomes (the virome), (ii) data cleaning, (iii) large-scale sequence alignments, (iv) peptide entropy analysis, (v) intra- and inter-species variation analysis of conserved sequences, including human homology analysis, and (vi) functional and immunological relevance analysis.

Conclusion

These steps are combined into the pipeline ensuring that a more refined process, as compared to a simple evolutionary conservation analysis, will facilitate a better selection of vaccine targets and their prioritization for subsequent experimental validation.

     

Continued Evolution of H5N1 Influenza Viruses in Wild Birds,Domestic Poultry,and Humans in China from 2004 to 2009

Despite substantial efforts to control H5N1 avian influenza viruses (AIVs), the viruses have continued to evolve and cause disease outbreaks in poultry and infections in humans. In this report, we analyzed 51 representative H5N1 AIVs isolated from domestic poultry, wild birds, and humans in China during 2004 to 2009, and 21 genotypes were detected based on whole-genome sequences. Twelve genotypes of AIVs in southern China bear similar H5 hemagglutinin (HA) genes (clade 2.3). These AIVs did not display antigenic drift and could be completely protected against by the A/goose/Guangdong/1/96 (GS/GD/1/96)-based oil-adjuvanted killed vaccine and recombinant Newcastle disease virus vaccine, which have been used in China. In addition, antigenically drifted H5N1 viruses, represented by A/chicken/Shanxi/2/06 (CK/SX/2/06), were detected in chickens from several provinces in northern China. The CK/SX/2/06-like viruses are reassortants with newly emerged HA, NA, and PB1 genes that could not be protected against by the GS/GD/1/96-based vaccines. These viruses also reacted poorly with antisera generated from clade 2.2 and 2.3 viruses. The majority of the viruses isolated from southern China were lethal in mice and ducks, while the CK/SX/2/06-like viruses caused mild disease in mice and could not replicate in ducks. Our results demonstrate that the H5N1 AIVs circulating in nature have complex biological characteristics and pose a continued challenge for disease control and pandemic preparedness.The highly pathogenic H5N1 influenza viruses that emerged over a decade ago in southern China have evolved into over 10 distinct phylogenetic clades based on their hemagglutinin (HA) genes. The viruses have spread to over 63 countries and to multiple mammalian species, including humans, resulting in 498 cases of infection and 294 deaths by 6 May 2010 according to the World Health Organization (WHO) (http://www.who.int). To date, none of the different H5N1 clades has acquired the ability to consistently transmit among mammalian species. The currently circulating H5N1 viruses are unique in that they continue to circulate in avian species. All previous highly pathogenic H5 and H7 viruses have naturally “burned out” or were stamped out because of their high pathogenicity in domestic poultry. While there is growing complacency about the potential of H5N1 “bird flu” to attain consistent transmissibility in humans and develop pandemicity, it is worth remembering that we have no knowledge of the time that it took the 1918 Spanish, the 1957 Asian, the 1968 Hong Kong, and the 2009 North American pandemics to develop their pandemic potentials. We may therefore currently be witnessing in real time the evolution of an H5N1 pandemic influenza virus.H5N1 avian influenza viruses (AIVs) were first detected in sick geese in Guangdong province in 1996, and both nonpathogenic and highly pathogenic (HP) H5N1 viruses were described (18). In 1997, H5N1 reassortant viruses that derived the HA gene from A/goose/Guangdong/1/96 (GS/GD/1/96)-like viruses and the other genes from H6N1 and/or H9N2 viruses caused lethal outbreaks in poultry and humans in Hong Kong (6, 7). Since then, long-term active surveillance of influenza viruses in domestic poultry has been performed, and multiple subtypes of influenza viruses have been detected in chickens and ducks in China (16, 19, 37). H5N1 influenza viruses have been repeatedly detected in apparently healthy ducks in southern China since 1999 (4, 13) and were also detected in pigs in Fujian province in 2001 and 2003 (39).Since the beginning of 2004, there have been significant outbreaks of H5N1 avian influenza virus infection involving multiple poultry farm flocks in more than 20 provinces in China (2). H5N1 viruses resulted in the deaths of millions of domestic poultry, including chickens, ducks, and geese, as the result of infection or of culling and the deaths of thousands of wild birds (5, 20). Thirty-eight human cases of HP H5N1 infection with 25 fatalities have been associated with direct exposure to infected poultry (WHO; http://www.who.int). Since 2004, the vaccination of domestic poultry has been used for the control of HP H5N1 influenza virus in China. While this strategy has been effective at reducing the incidence of HP H5N1 in poultry and at markedly reducing the number of human cases, it is impossible to vaccinate every single bird due to the enormous poultry population. Outbreaks of H5N1 influenza virus still continue to occur in poultry although at a reduced frequency.A previous study by Smith et al. reported that a “Fujian-like” H5N1 influenza virus emerged in late 2005 and predominated in poultry in southern China (26). Those authors suggested that vaccination may have facilitated the selection of the “Fujian-like” sublineage. Here, we analyzed 51 representative H5N1 viruses that were isolated from wild birds, domestic poultry, and humans from 2004 to 2009 in China and described their genetic evolution and antigenicity profiles. Our results indicate that H5N1 influenza viruses in southern China, including the “Fujian-like” viruses, are complicated reassortants, which could be well protected against by GS/GD/1/96 virus-based vaccines. We documented the emergence of the latest variant of H5N1 (A/chicken/Shanxi/2/06 [CK/SX/2/06]) that broke through existing poultry vaccines. We show that this variant is less pathogenic in mice and ducks than the earlier strains and propose that the variant was not selected by the use of vaccines.     

Analysis of HIV-1 drug resistant mutations by line probe assay and direct sequencing in a cohort of therapy naive HIV-1 infected Italian patients

Background  

Recent studies of viral entry proteins from influenza, measles, human immunodeficiency virus, type 1 (HIV-1), and Ebola virus have shown, first with molecular modeling, and then X-ray crystallographic or other biophysical studies, that these disparate viruses share a coiled-coil type of entry protein.     

Differential Protein Modulation in Midguts of Aedes aegypti Infected with Chikungunya and Dengue 2 Viruses

Background

Arthropod borne virus infections cause several emerging and resurgent infectious diseases. Among the diseases caused by arboviruses, dengue and chikungunya are responsible for a high rate of severe human diseases worldwide. The midgut of mosquitoes is the first barrier for pathogen transmission and is a target organ where arboviruses must replicate prior to infecting other organs. A proteomic approach was undertaken to characterize the key virus/vector interactions and host protein modifications that happen in the midgut for viral transmission to eventually take place.

Methodology and Principal Findings

Using a proteomics differential approach with two-Dimensional Differential in-Gel Electrophoresis (2D-DIGE), we defined the protein modulations in the midgut of Aedes aegypti that were triggered seven days after an oral infection (7 DPI) with dengue 2 (DENV-2) and chikungunya (CHIKV) viruses. Gel profile comparisons showed that the level of 18 proteins was modulated by DENV-2 only and 12 proteins were modulated by CHIKV only. Twenty proteins were regulated by both viruses in either similar or different ways. Both viruses caused an increase of proteins involved in the generation of reactive oxygen species, energy production, and carbohydrate and lipid metabolism. Midgut infection by DENV-2 and CHIKV triggered an antioxidant response. CHIKV infection produced an increase of proteins involved in detoxification.

Conclusion/Significance

Our study constitutes the first analysis of the protein response of Aedes aegypti''s midgut infected with viruses belonging to different families. It shows that the differentially regulated proteins in response to viral infection include structural, redox, regulatory proteins, and enzymes for several metabolic pathways. Some of these proteins like antioxidant are probably involved in cell protection. On the other hand, we propose that the modulation of other proteins like transferrin, hsp60 and alpha glucosidase, may favour virus survival, replication and transmission, suggesting a subversion of the insect cell metabolism by the arboviruses.     

PROCAIN: protein profile comparison with assisting information

Detection of remote sequence homology is essential for the accurate inference of protein structure, function and evolution. The most sensitive detection methods involve the comparison of evolutionary patterns reflected in multiple sequence alignments (MSAs) of protein families. We present PROCAIN, a new method for MSA comparison based on the combination of ‘vertical’ MSA context (substitution constraints at individual sequence positions) and ‘horizontal’ context (patterns of residue content at multiple positions). Based on a simple and tractable profile methodology and primitive measures for the similarity of horizontal MSA patterns, the method achieves the quality of homology detection comparable to a more complex advanced method employing hidden Markov models (HMMs) and secondary structure (SS) prediction. Adding SS information further improves PROCAIN performance beyond the capabilities of current state-of-the-art tools. The potential value of the method for structure/function predictions is illustrated by the detection of subtle homology between evolutionary distant yet structurally similar protein domains. ProCAIn, relevant databases and tools can be downloaded from: http://prodata.swmed.edu/procain/download. The web server can be accessed at http://prodata.swmed.edu/procain/procain.php.     

Evolutionary analysis of the influenza A virus M gene with comparison of the M1 and M2 proteins

Phylogenetic analysis of 42 membrane protein (M) genes of influenza A viruses from a variety of hosts and geographic locations showed that these genes have evolved into at least four major host-related lineages: (i) A/Equine/prague/56, which has the most divergent M gene; (ii) a lineage containing only H13 gull viruses; (iii) a lineage containing both human and classical swine viruses; and (iv) an avian lineage subdivided into North American avian viruses (including recent equine viruses) and Old World avian viruses (including avianlike swine strains). The M gene evolutionary tree differs from those published for other influenza virus genes (e.g., PB1, PB2, PA, and NP) but shows the most similarity to the NP gene phylogeny. Separate analyses of the M1 and M2 genes and their products revealed very different patterns of evolution. Compared with other influenza virus genes (e.g., PB2 and NP), the M1 and M2 genes are evolving relatively slowly, especially the M1 gene. The M1 and M2 gene products, which are encoded in different but partially overlapping reading frames, revealed that the M1 protein is evolving very slowly in all lineages, whereas the M2 protein shows significant evolution in human and swine lineages but virtually none in avian lineages. The evolutionary rates of the M1 proteins were much lower than those of M2 proteins and other internal proteins of influenza viruses (e.g., PB2 and NP), while M2 proteins showed less rapid evolution compared with other surface proteins (e.g., H3HA). Our results also indicate that for influenza A viruses, the evolution of one protein of a bicistronic gene can affect the evolution of the other protein.(ABSTRACT TRUNCATED AT 400 WORDS)     

Recent Epidemiological Trends of Dengue in the French Territories of the Americas (2000–2012): A Systematic Literature Review

Dengue is a public health concern across the globe, and an escalating problem in the Americas. As part of a wider programme (covering Latin America and South East Asia) to characterize the epidemiology of dengue in dengue endemic areas, we undertook a systematic literature review to assess epidemiological trends (incidence, timing and duration of outbreaks/epidemics, age and sex distribution, serotype distribution, seroprevalence and disease severity) for dengue across the French Territories of the Americas (FTA), in French Guiana, Guadeloupe, Martinique, Saint Martin and Saint Barthélemy between 2000 and 2012 (CRD42012002341: http://www.crd.york.ac.uk/prospero/display_record.asp?ID=CRD42012002341). Of 413 relevant data sources identified, 45 were eligible for inclusion. A large proportion of the available data were from national surveillance reports, and 12 publications were from peer-reviewed journals. During the review period, 3–5 epidemics were identified in each of the island territories and French Guiana, and epidemics were often associated with a shift in the predominant circulating dengue virus serotype. Substantial gaps in epidemiological knowledge were identified. In particular, information regarding dengue virus genotype distribution, seroprevalence and age distribution of dengue were lacking. Additionally, much of the available data were from epidemic years; data from inter-epidemic periods were sparse. Nevertheless, the available epidemiological data showed that dengue is endemic across the FTA and suggest an evolution towards hyperendemicity, highlighting the need to continue the efforts with the existing surveillance programmes to assist in planning an effective vaccination programme once a dengue vaccine is deployed.

Protocol registration

PROSPERO CRD42012002341