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In October 2020, an avian paramyxovirus serotype 14 (APMV-14)-designated chicken/Fujian/2160/2020 (FJ2160) was isolated from tracheal and cloacal swab sample of chicken collected from live bird market in Fujian province in China during the active surveillance program. The complete genome of FJ2160 comprised 15,444 nucleotides (nt) complying with the paramyxovirus "rule of six" and encoded six non-overlapping structural proteins in the order of 3′-NP-P-M-F-HN-L-′5. The complete genome sequence analysis showed that FJ2160 had the highest identity (90.0%) with the APMV-14 isolated from Japan, while the nucleotide sequence identities of FJ2160 and other APMVs ranged from 42.4 to 51.1%. The F protein cleavage site was TREGR↓L, which resembled a lentogenic strain of APMV-1. Phylogenetic analysis revealed that the FJ2160 closest relative was APMV-14. The intracerebral pathogenicity index (ICPI) tests indicated that the virus was lentogenic. This is the first report of APMV-14 in China. These results provide evidence that APMV-14 could infect chickens and reveal the genetic characteristics and biological properties of the virus, which can help to better understand this new emerging APMV-14. [ABSTRACT FROM AUTHOR]

Avian influenza virus (AIV) infection can lead to severe economic losses in the poultry industry and causes a serious risk for humans. A rapid and simple test for suspected viral infection cases is crucial. In this study, a reverse transcription recombinase-aided amplification assay (RT-RAA) for the rapid detection of all AIV subtypes was developed. The reaction temperature of the assays is at 39 °C and the detection process can be completed in less than 20 min. The specificity results of the assay showed that this method had no cross-reaction with other main respiratory viruses that affect birds, including Newcastle disease virus (NDV) and infectious bronchitis virus (IBV). The analytical sensitivity at a 95% confidence interval was 102 RNA copies per reaction. In comparison with a published assay for reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR), the κ value of the RT-RAA assay in 384 avian clinical samples was 0.942 (p < 0.001). The sensitivity and specificity of the RT-RAA assay for avian clinical sample detection was determined as 97.59% (95% CI 93.55–99.23%) and 96.79% (95% CI 93.22–98.59%), respectively. The RT-RAA assay for AIV in this study provided an effective and practicable tool for AIV molecular detection. [ABSTRACT FROM AUTHOR]

Background: Fowl adenovirus is of major concern to the poultry industry worldwidely. In order to monitor the prevalent status of Fowl adenovirus in China, a total of 1920 clinical samples from apparently healthy birds in the 25 sites of poultry flocks, Slaughterhouse and living bird markets from 8 provinces in eastern China were collected and detected by PCR, sequencing, and phylogenetic analysis. Results: The epidemiological survey showed that Fowl adenoviruses were detected in living bird markets, and circulating in a variety of fowl species, including chickens, ducks, goose and pigeons. Among the 1920 clinical samples, 166 samples (8.65%) were positive in the fowl adenovirus PCR detection. In this study, totally all the 12 serotypes (serotypes of 1, 2, 3, 4, 5, 6, 7, 8A, 8B, 9, 10 and 11) fowl adenoviruses were detected, the most prevalent serotype was serotype 1. Phylogenetic analysis indicated that 166 FAdVs of 12 serotypes were divided into 5 fowl adenovirus species (Fowl aviadenovirus A, B, C, D, E). Conclusions: In the epidemiological survey, 8.65% of the clinical samples from apparently healthy birds were positive in the fowl adenovirus PCR detection. Totally all the 12 serotypes fowl adenoviruses were detected in a variety of fowl species, which provided abundant resources for the research of fowl adenoviruses in China. The newly prevalent FAdV serotypes provides valuable information for the development of an effective control strategy for FAdV infections in fowls. [ABSTRACT FROM AUTHOR]

Background: Fowl adenovirus is of major concern to the poultry industry worldwidely. In order to monitor the prevalent status of Fowl adenovirus in China, a total of 1920 clinical samples from apparently healthy birds in the 25 sites of poultry flocks, Slaughterhouse and living bird markets from 8 provinces in eastern China were collected and detected by PCR, sequencing, and phylogenetic analysis. Results: The epidemiological survey showed that Fowl adenoviruses were detected in living bird markets, and circulating in a variety of fowl species, including chickens, ducks, goose and pigeons. Among the 1920 clinical samples, 166 samples (8.65%) were positive in the fowl adenovirus PCR detection. In this study, totally all the 12 serotypes (serotypes of 1, 2, 3, 4, 5, 6, 7, 8A, 8B, 9, 10 and 11) fowl adenoviruses were detected, the most prevalent serotype was serotype 1. Phylogenetic analysis indicated that 166 FAdVs of 12 serotypes were divided into 5 fowl adenovirus species (Fowl aviadenovirus A, B, C, D, E). Conclusions: In the epidemiological survey, 8.65% of the clinical samples from apparently healthy birds were positive in the fowl adenovirus PCR detection. Totally all the 12 serotypes fowl adenoviruses were detected in a variety of fowl species, which provided abundant resources for the research of fowl adenoviruses in China. The newly prevalent FAdV serotypes provides valuable information for the development of an effective control strategy for FAdV infections in fowls. [ABSTRACT FROM AUTHOR]

Background: The H5 subtype avian influenza virus (AIV) has caused huge economic losses to the poultry industry and is a threat to human health. A rapid and simple test is needed to confirm infection in suspected cases during disease outbreaks. Methods: In this study, we developed a reverse transcription recombinase-aided amplification (RT-RAA) assay for the detection of H5 subtype AIV. Assays were performed at a single temperature (39 °C), and the results were obtained within 20 min. Results: The assay showed no cross-detection with Newcastle disease virus or infectious bronchitis virus. The analytical sensitivity was 103 RNA copies/μL at a 95% confidence interval according to probit regression analysis, with 100% specificity. Compared with published reverse transcription quantitative real-time polymerase chain reaction assays, the κ value of the RT-RAA assay in 420 avian clinical samples was 0.983 (p < 0.001). The sensitivity for avian clinical sample detection was 97.26% (95% CI, 89.56–99.52%), and the specificity was 100% (95% CI, 98.64–100%). Conclusions: These results indicated that our RT-RAA assay may be a valuable tool for detecting H5 subtype AIV. [ABSTRACT FROM AUTHOR]

In order to develop an appropriate method for high-throughput detection of avian metapneumovirus, a quadruple real-time reverse-transcription polymerase chain reaction assay was established with four pairs of specific primers and four specific probes based on the G or M gene of aMPV-A, aMPV-B, aMPV-C and aMPV-D. Its specificity and sensitivity were evaluated, and clinical samples were tested by the method. The results showed that all the four subgroups of avian metapneumovirus can be detected in the quadruple real-time RT-PCR assay simultaneously, with a detection limit of 100–1000 cRNA copies/reaction. The other common poultry viruses were negative. In the avian clinical sample detection, 39 out of 1920 clinical samples collected from 8 provinces were positive. Compared with published RT-PCR assays, the κ value of the quadruple real-time RT-PCR assay in 1920 avian clinical samples was 1.000 (P < 0.001). The established method could be used for the rapid detection of the four subgroups of avian metapneumovirus with high specificity and high sensitivity. [ABSTRACT FROM AUTHOR]

Background: Studies over the past decade have shown that competitive endogenous RNA (ceRNA) plays an essential role in the tumorigenesis and progression of clear cell renal cell carcinoma (ccRCC). Meanwhile, immune checkpoint blocker is gradually moving towards the first-line treatment of ccRCC. Hence, it's urgent to develop a new prediction model for the efficiency of immunotherapy. At present, there is no study to reveal the effect of ceRNA network on the efficiency of immunotherapy for ccRCC. Methods: To systematically analyze the effect of ceRNA hub genes in ccRCCon immune response, we constructed prognosis models based on ceRNAs and immune cells, respectively. We constructed ceRNA network using hypergeometric distribution test and correlation analysis with R script based on The Cancer Genome Atlas (TCGA) database. We then applied the Cibersort algorithm to simulate the infiltration overview of immune cells in kidney renal clear carcinoma (KIRC) samples. Prognosis-related immune cells were screened and a predictive model of these cells was constructed. Prognosis-related immune cells and ceRNA hub genes were performed with co-expression analysis. Finally, qRT-PCR and immunofluorescence assays were performed to validate the results. Results: The construction of ceRNA related prognosis model contained 8 hub genes, including RELT, MYO9B, KCNN4, SIX1, OTOGL, MALAT1, hsa-miR-130b-3p, and hsa-miR-21-5p. The area under the receiver operating characteristic curve (AUC) was 0.77 at 5 years. For the construction of immune cells prognosis model, 3 immune cells (T cells regulatory, Macrophages, Mast cells resting) were adopted, and the AUC was 0.65 at 5 years. We then merged the two models by correlation analysis and co-expression analysis. Finally, we found that KCNN4 positively correlates with T cells regulatory (Tregs) and negatively correlates with mast cells resting significantly. Furthermore, higher expression of KCNN4 may lead to a higher potential for immune evasion and lower efficiency for immune checkpoint inhibitors (ICIs). Conclusions: Generally, this is the first study to assess the prognostic value of immune related ceRNA hub genes in ccRCC, and KCNN4 was finally demonstrated to be a key regulatory factor with strong correlation with Tregs and mast cells resting. [ABSTRACT FROM AUTHOR]

Background: Studies over the past decade have shown that competitive endogenous RNA (ceRNA) plays an essential role in the tumorigenesis and progression of clear cell renal cell carcinoma (ccRCC). Meanwhile, immune checkpoint blocker is gradually moving towards the first-line treatment of ccRCC. Hence, it's urgent to develop a new prediction model for the efficiency of immunotherapy. At present, there is no study to reveal the effect of ceRNA network on the efficiency of immunotherapy for ccRCC. Methods: To systematically analyze the effect of ceRNA hub genes in ccRCCon immune response, we constructed prognosis models based on ceRNAs and immune cells, respectively. We constructed ceRNA network using hypergeometric distribution test and correlation analysis with R script based on The Cancer Genome Atlas (TCGA) database. We then applied the Cibersort algorithm to simulate the infiltration overview of immune cells in kidney renal clear carcinoma (KIRC) samples. Prognosis-related immune cells were screened and a predictive model of these cells was constructed. Prognosis-related immune cells and ceRNA hub genes were performed with co-expression analysis. Finally, qRT-PCR and immunofluorescence assays were performed to validate the results. Results: The construction of ceRNA related prognosis model contained 8 hub genes, including RELT, MYO9B, KCNN4, SIX1, OTOGL, MALAT1, hsa-miR-130b-3p, and hsa-miR-21-5p. The area under the receiver operating characteristic curve (AUC) was 0.77 at 5 years. For the construction of immune cells prognosis model, 3 immune cells (T cells regulatory, Macrophages, Mast cells resting) were adopted, and the AUC was 0.65 at 5 years. We then merged the two models by correlation analysis and co-expression analysis. Finally, we found that KCNN4 positively correlates with T cells regulatory (Tregs) and negatively correlates with mast cells resting significantly. Furthermore, higher expression of KCNN4 may lead to a higher potential for immune evasion and lower efficiency for immune checkpoint inhibitors (ICIs). Conclusions: Generally, this is the first study to assess the prognostic value of immune related ceRNA hub genes in ccRCC, and KCNN4 was finally demonstrated to be a key regulatory factor with strong correlation with Tregs and mast cells resting. [ABSTRACT FROM AUTHOR]

The risk-based active surveillance for Newcastle disease virus (NDV) was carried out in China from 2011 to 2020. A total of 110,018 swabs were collected from 28 provinces. 2,389 class I NDVs were isolated and identified by RT-PCR and sequencing. The average annual positivity rate of class I NDVs from 2011 to 2020 was 2.17%. In the last 10 years, the positivity rate was highest in 2011 (4.76%), and has since decreased. Most viruses were isolated from chickens, while others were collected from ducks, geese and pigeons, as well as from the environment. The positivity rates for class I NDVs in poultry ranged from 0.55% to 2.40%. The viruses were isolated from 373 sampling sites in 24 provinces, mainly in East, Central, South and Southwest China. The positivity rates of NDVs in wholesale markets (51.58%) and retail markets (42.83%) were much higher than those in poultry farms (7.14%) and slaughterhouses (3.85%). Phylogenetic analyses showed that most isolates belonged to sub-genotype 1.1.2, while only 22 viruses belonged to sub-genotype 1.2, indicating the viruses in sub-genotype 1.1.2 were the predominant strains in China. The F and HN genes of six strains in the two sub-genotypes were sequenced and analyzed. The cleavage sites of F protein in the six viruses were 112ERQER/L117, 112ERQGR/L117 or 112GRQERL117, which were typical of low virulence NDV. Several mutations were identified in the functional domains of F and HN proteins, including fusion peptide, heptad repeat region, transmembrane domains and neutralizing epitopes. This study revealed the distribution, genetic and phylogenetic characteristics of class I NDVs in China, and could help us to better understand the epidemiological context of class I NDVs in China. [ABSTRACT FROM AUTHOR]

Avian astroviruses (AAstVs) have caused major problem for poultry breeding industries in China in recent years, and the goose gout caused by goose astrovirus has produced particularly great economic losses. To better understand the prevalence and genetic diversity of AAstVs in China, 1210 poultry samples collected from eight provinces were tested with reverse transcription-polymerase chain reaction (RT-PCR) to detect AAstV infections in different poultry populations. Then, Open reading frames 2 (ORF2) was amplified by specific primers, and the genetic evolution was analyzed. Our surveillance data demonstrate the diversity of AAstVs in China insofar as we detected 17 AAstVs, including seven chicken astroviruses (CAstVs), five avian nephritis viruses (ANVs), two goose astroviruses (GoAstVs), two duck astrovirus (DAstVs), and one new AAstV belonging to Avastrovirus Group 3. The positive rate of AAstV infection was 1.40%. Host analysis showed that CAstVs and ANVs were isolated from chickens, DAstVs and GoAstVs were isolated from ducks. Host-species-specific AAstVs infections were also identified in numerous samples collected at each stage of production. This study provides further evidence to better understand the epidemiology of AAstVs in different species of poultry in China. [ABSTRACT FROM AUTHOR]

Coronaviruses (CoVs) are found in humans and a wide variety of wild and domestic animals, and of substantial impact on human and animal health. In poultry, the genetic diversity, evolution, distribution and taxonomy of CoVs dominant in birds other than chickens remain enigmatic. In our previous study, we proposed that the CoVs dominant (i.e. mainly circulating) in ducks (DdCoVs) should represent a novel species, which was different from the one represented by the CoVs dominant in chickens (CdCoVs). In this study, we conducted a large‐scale surveillance of CoVs in chickens, ducks, geese, pigeons and other birds (quails, sparrows and partridges) using a conserved RT‐PCR assay. The surveillance demonstrated that CdCoVs, DdCoVs and the CoVs dominant in pigeons (PdCoVs) belong to different lineages, and they are all prevalent in live poultry markets and the backyard flocks in some regions of China. We further sequenced seven Coronaviridae‐wide conserved domains in their replicase polyprotein pp1ab of seven PdCoVs and found that the genetic distances in these domains between PdCoVs and DdCoVs or CdCoVs are large enough to separate PdCoVs into a novel species, which were different from the ones represented by DdCoVs or CdCoVs within the genus Gammacoronavirus, per the species demarcation criterion of International Committee on Taxonomy of Viruses. This report shed novel insight into the genetic diversity, distribution, evolution and taxonomy of avian CoVs. [ABSTRACT FROM AUTHOR]

Gene detection has important applications in biology, biomedical engineering, clinical, environmental, and marine fields. Rapid, sensitive, and selective recognition of specific genes is essential in practical applications. In this study, we describe a facile and sensitive DNA sensing platform for specific and quantitative detection of Heterosigma akashiwo, which is one of the causative agents of red tides. Fast and sensitive detection is achieved by using chemically synthesized graphene oxide (GO) nanosheets. Probe DNA is designed according to the specific DNA fragments of harmful algae and labeled with fluorescent molecules FAM (fluorescein-based dye). GO nanosheet solution is made, in which the strong interaction between FAM-labeled probe and GO nanosheets keeps them in close proximity, facilitating the fluorescence quenching of the fluorophore by GO nanosheets. In the presence of a complementary target DNA, the FAM-labeled DNA probe and the target DNA hybridize and desorb from the surface of GO nanosheets, resulting in restoration of fluorophore fluorescence. The concentration of target DNA fragments is analyzed by the fluorescence intensity at ~ 520 nm with emission wavelength of 480 nm. The sensitive detecting platform achieved stable measurement of 1 pM specific genes from Heterosigma akashiwo. Our GO nanosheet-based DNA-sensing platform performs fast and sensitive detection of trace amount of DNA, and enables quantitative recognition of harmful algae, which has promising applications in real-time monitoring in the marine environment of red tide generative dynamics, allowing effective control, particularly in relation to marine aquaculture. [ABSTRACT FROM AUTHOR]

In recent decades, multiple subtypes (i.e. H9N2, H5N1 and H7N9) of avian influenza virus (AIV) have become widespread in China, which has caused enormous economic losses and posed considerable threats to public health. In this review, with the aim to provide insights into and guidelines for the control of AIV spread in China and globally in the future, we analysed the reasons why AIV has persisted in China based on socio‐economic features, including poultry biosecurity, live bird markets, live bird transportation, wild birds, poultry waterfowl, poultry density, poultry population and infected birds. We also described the present status of the AIV subtypes H9, H5 and H7 in China to elucidate the effectiveness of the strategies currently employed in China (i.e. culling, mass vaccination and biosecurity improvement) to control the disease based on a literature review and our unpublished surveillance data collected over a 12‐year period from 2007 to 2018. We then summarized the lessons to be learned from the control experience in China, including whether culling of infected birds is of limited value for disease control and whether improved biosecurity is a better option than culling and vaccination for the long‐term control of AIV, and when the vaccine strain should be updated. [ABSTRACT FROM AUTHOR]

H7 subtype avian influenza virus infection is an emerging zoonosis in some Asian countries and an important avian disease worldwide. A rapid and simple test is needed to confirm infection in suspected cases during disease outbreaks. In this study, we developed a reverse‐transcription recombinase‐aided amplification assay for the detection of H7 subtype avian influenza virus. Assays were performed at a single temperature (39°C), and the results were obtained within 20 min. The assay showed no cross‐detection with Newcastle disease virus or infectious bronchitis virus, which are the other main respiratory viruses affecting birds. The analytical sensitivity was 102 RNA copies per reaction at a 95% probability level according to probit regression analysis, with 100% specificity. Compared with published reverse‐transcription quantitative real‐time polymerase chain reaction assays, the κ value of the reverse‐transcription recombinase‐aided amplification assay in 342 avian clinical samples was 0.988 (p <.001). The sensitivity for avian clinical sample detection was 100% (95%CI, 90.40%–100%), and the specificity was 99.96% (95%CI, 97.83%–99.98%). These results indicated that our reverse‐transcription recombinase‐aided amplification assay may be a valuable tool for detecting avian influenza H7 subtype virus. [ABSTRACT FROM AUTHOR]

H7N9 subtype avian influenza viruses (AIV) circulating in China over recent years have had an enormous impact on public health and economy. During the period between November 2016 and April 2017, an increase in human infections caused by these viruses was reported, with rapid emergence and spread of variants in China. Consequently, the government of China implemented a controversial vaccination strategy in September 2017. Here, we provide evidence of the prevalence of H7N9 AIVs in China based on systematic large‐scale surveillance in poultry during 2013–2018. Emerging variants were confirmed as highly pathogenic in chickens using the intravenous pathogenicity index (IVPI) test. The currently available vaccine provided complete protection against the H7N9 HPAIV challenge in chickens. The collective findings clearly indicate that the vaccination strategy implemented not only significantly decreases the prevalence of H7N9 AIVs in poultry but also effectively prevents human infection with H7N9 viruses. [ABSTRACT FROM AUTHOR]

In 2017, an H7N8 avian influenza virus (AIV) was isolated from a domestic duck from a farm in Central China. Sequences analysis showed that this strain received its genes from H7, H1, H2, H3, H5, and H6 AIVs of domestic poultry and wild birds in Asia. It exhibited low pathogenicity in chickens and mild pathogenicity in mice. These results suggest the importance of continued surveillance of the H7N8 virus to better understand the ecology and evolution of the AIVs in poultry and wild birds and the potential threat to human health. [ABSTRACT FROM AUTHOR]

With rapidly increasing animal pathogen surveillance requirements, new technologies are needed for a comprehensive understanding of the roles of pathogens in the occurrence and development of animal diseases. We applied metagenomic technology to avian virus surveillance to study the main viruses infecting six poultry farms in two provinces in eastern China. Cloacal/throat double swabs were collected from 60 birds at each farm according to a random sampling method. The results showed that the method could simultaneously detect major viruses infecting farms, including avian influenza virus, infectious bronchitis virus, Newcastle disease virus, rotavirus G, duck hepatitis B virus, and avian leukemia virus subgroup J in several farms. The test results were consistent with the results from traditional polymerase chain reaction (PCR) or reverse transcription-PCR analyses. Five H9N2 and one H3N8 avian influenza viruses were detected at the farms and were identified as low pathogenic avian influenza viruses according to HA cleavage sites analysis. One detected Newcastle disease virus was classified as Class II genotype I and avirulent type according to F0 cleavage sites analysis. Three avian infectious bronchitis viruses were identified as 4/91, CK/CH/LSC/99I and TC07-2 genotypes by phylogenetic analysis of S1 genes. The viral infection surveillance method using metagenomics technology enables the monitoring of multiple viral infections, which allows the detection of main infectious viruses. [ABSTRACT FROM AUTHOR]

Next generation sequencing (NGS) is a powerful tool for the characterization, discovery, and molecular identification of RNA viruses. There were multiple NGS library preparation methods published for strand-specific RNA-seq, but some methods are not suitable for identifying and characterizing RNA viruses. In this study, we report a NGS library preparation method to identify RNA viruses using the Ion Torrent PGM platform. The NGS sequencing adapters were directly inserted into the sequencing library through reverse transcription and polymerase chain reaction, without fragmentation and ligation of nucleic acids. The results show that this method is simple to perform, able to identify multiple species of RNA viruses in clinical samples. [ABSTRACT FROM AUTHOR]

Reference 1 Wang S, Jiang N, Jiang L, Zhuang Q, Chen Q, Hou G, et al. (2022) Establishment and application of a quadruple real-time RT-PCR for detecting avian metapneumovirus. Kaicheng Wang is also affiliated with: Key Laboratory of Animal Biosafety Risk Prevention and Control (South), Ministry of Agriculture and Rural Affairs, Qingdao, Shandong, 266032, P.R. China. [Extracted from the article]

The present study aimed to investigate the role of miR-589-3p in lumbar disc degeneration (LDD) and to explore the underlying mechanisms. Nucleus pulposus (NP) cells were stimulated with lipopolysaccharide (LPS) to simulate an in vitro model of intervertebral disc degeneration. Reverse transcription- quantitative polymerase chain reaction (RT-qPCR) was used to detect the expression level of microRNA (miR)-589-3p in the NP cells, and the results demonstrated that the increased expression of miR-589-3p in LPS stimulated NP cells compared with the control. To further investigate the role of miR-589-3p in LDD, a human NP cell line with high/low miR-589-3p expression was generated using miR-589-3p mimics/inhibitors. In addition, a human NP cell inflammation model was conducted by LPS (10 µM) treatment. Western blot analysis and RT-qPCR were performed for detection of associated genes and proteins. Protein levels of pro-inflammatory factors, including tumor necrosis factor-α (TNF-α), interleukin (IL)-1β and IL-6 were evaluated by ELISA. Flow cytometry was used for cell apoptosis determination. Furthermore, Targetscan was used to predict potential targets of miR-589-3p, and a dual luciferase reporter assay was used to verify the prediction. The findings verified that miR-589-3p was significantly upregulated in LDD. In vitro, miR-589-3p mimics/inhibitors significantly increased/reduced the production of TNF-α, IL-1β and IL-6 in LPS stimulated NP cells. Furthermore, miR-589-3p mimics/inhibitors signifi- cantly promoted/inhibited LPS stimulated NP cell apoptosis. MiR-589-3p mimics/inhibitors significantly repressed/enhanced type II collagen and aggrecan expression in LPS stimulated NP cells. In addition, it was demonstrated that mothers against decapentaplegic homolog (Smad) 4 was a direct target gene of miR-589-3p, and was negatively regulated by miR-589-3p in NP cells. In conclusion, miR-589-3p may function as a promoter in LDD development via the regulation of Smad4. [ABSTRACT FROM AUTHOR]

Dozens of human cases infected with H7N9 subtype avian influenza virus (AIV) have been confirmed in China since March, 2013. Distribution data of sexes, ages, professions and regions of the cases were analyzed in this report. The results showed that the elderly cases, especially the male elderly, were significantly more than expected, which is different from human cases of H5N1 avian influenza and human cases of the pandemic H1N1 influenza. The outbreak was rated as a Grade III (severe) outbreak, and it would evolve into a Grade IV (very severe) outbreak soon, using a method reported previously. The H7N9 AIV will probably circulate in humans, birds and pigs for years. Moreover, with the driving force of natural selection, the virus will probably evolve into highly pathogenic AIV in birds, and into a deadly pandemic influenza virus in humans. Therefore, the H7N9 outbreak has been assumed severe, and it is likely to become very or extremely severe in the future, highlighting the emergent need of forceful scientific measures to eliminate any infected animal flocks. We also described two possible mild scenarios of the future evolution of the outbreak. [ABSTRACT FROM AUTHOR]

Background: Type A influenza viruses (IAVs) cause significant infections in humans and multiple species of animals including pigs, horses, birds, dogs and some marine animals. They are of complicated phylogenetic diversity and distribution, and analysis of their phylogenetic diversity and distribution from a panorama view has not been updated for multiple years. Methods: 139,872 protein sequences of IAVs from GenBank were selected, and they were aligned and phylogenetically analyzed using the software tool MEGA 7.0. Lineages and subordinate lineages were classified according to the topology of the phylogenetic trees and the host, temporal and spatial distribution of the viruses, and designated using a novel universal nomenclature system. Results: Large phylogenetic trees of the two external viral genes (HA and NA) and six internal genes (PB2, PB1, PA, NP, MP and NS) were constructed, and the diversity and the host, temporal and spatial distribution of these genes were calculated and statistically analyzed. Various features regarding the diversity and distribution of IAVs were confirmed, revised or added through this study, as compared with previous reports. Lineages and subordinate lineages were classified and designated for each of the genes based on the updated panorama views. Conclusions: The panorama views of phylogenetic diversity and distribution of IAVs and their nomenclature system were updated and assumed to be of significance for studies and communication of IAVs. [ABSTRACT FROM AUTHOR]