Ducks, the natural reservoir of avian influenza virus (AIV), act as reassortment vessels for HPAI and low pathogenic avian influenza (LPAI) virus for domestic and wild bird species. In Bangladesh, earlier research was mainly focused on AIV in commercial poultry and live bird markets, where there is scanty literature reported on AIV in apparently healthy backyard poultry at the household level. The present cross-sectional study was carried out to reveal the genomic epidemiology of AIV of backyard poultry in coastal (Anowara) and plain land (Rangunia) areas of Bangladesh. We randomly selected a total of 292 households' poultry (having both chicken and duck) for sampling. We administered structured pre-tested questionnaires to farmers through direct interviews. We tested cloacal samples from birds for the matrix gene (M gene) followed by H5 and H9 subtypes using real-time reverse transcriptase-polymerase chain reaction (rRT-PCR). All AIV-positive samples were subjected to four-gene segment sequencing (M, PB1, HA, and NA gene). We found that the prevalence of AIV RNA at the household level was 6.2% (n = 18; N = 292), whereas duck and chicken prevalence was 3.6% and 3.2%, respectively. Prevalence varied with season, ranging from 3.1% in the summer to 8.2% in the winter. The prevalence of subtypes H5 and H9 in backyard poultry was 2.7% and 3.3%, respectively. The phylogenetic analysis of M, HA, NA, and PB1 genes revealed intra-genomic similarity, and they are closely related to previously reported AIV strains in Bangladesh and Southeast Asia. The findings indicate that H5 and H9 subtypes of AIV are circulating in the backyard poultry with or without clinical symptoms. Moreover, we revealed the circulation of 2.3.2.1a (new) clade among the chicken and duck population without occurring outbreak which might be due to vaccination. In addition to routine surveillance, molecular epidemiology of AIV will assist to gain a clear understanding of the genomic evolution of the AIV virus in the backyard poultry rearing system, thereby facilitating the implementation of effective preventive measures to control infection and prevent the potential spillover to humans.

We sequenced severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from nasal and throat swabs of a hospitalized patient during the fifth wave of coronavirus disease 2019 (COVID-19) pandemic in Hong Kong. Genomic characteristics and viral load dynamics of an Omicron BA.2.2 variant before and after molnupiravir treatment were presented.

In the last five years, the prevalence of monkeypox has been increasing both in the regions considered endemic for the disease (West and Central Africa) and worldwide. Indeed, in July 2022, the World Health Organization declared the ongoing global outbreak of monkeypox a public health emergency of international concern. The disease is caused by monkeypox virus (MPXV), a member of the Orthopoxvirus genus, which also includes variola virus (the causative agent of smallpox) and vaccinia virus (used in the smallpox eradication campaign). Here, we review aspects of MPXV genetic diversity and epidemiology, with an emphasis on its genome structure, host range, and relationship with other orthopoxviruses. We also summarize the most recent findings deriving from the sequencing of outbreak MPXV genomes, and we discuss the apparent changing of MPXV evolutionary trajectory, which is characterized by the accumulation of point mutations rather than by gene gains/losses. Whereas the availability of a vaccine, the relatively mild presentation of the disease, and its relatively low transmissibility speak in favor of an efficient control of the global outbreak, the wide host range of MPXV raises concerns about the possible establishment of novel reservoirs. We also call for the deployment of field surveys and genomic surveillance programs to identify and control the MPXV reservoirs in West and Central Africa.

Fasciola gigantica and hybrid Fasciola flukes, responsible for the disease fasciolosis, are found in Southeast Asian countries. In the present study, we performed molecular species identification of Fasciola flukes distributed in Terengganu, Malaysia using multiplex PCR for phosphoenolpyruvate carboxykinase (pepck) and PCR-restriction fragment length polymorphism (RFLP) for DNA polymerase delta (pold). Simultaneously, phylogenetic analysis based on mitochondrial NADH dehydrogenase subunit 1 (nad1) was performed for the first time on Malaysian Fasciola flukes to infer the dispersal direction among neighboring countries. A total of 40 flukes used in this study were identified as F. gigantica. Eight nad1 haplotypes were identified in the F. gigantica population of Terengganu. Median-joining network analysis revealed that the Malaysian population was related to those obtained from bordering countries such as Thailand and Indonesia. However, genetic differentiation was detected using population genetics analyses. Nevertheless, the nucleotide diversity (π) value suggested that F. gigantica with the predominant haplotypes was introduced into Malaysia from Thailand and Indonesia. The dispersal direction suggested by population genetics in the present study may not be fully reliable since Fasciola flukes were collected from a single location in one state of Malaysia. Further studies analyzing more samples from many locations are required to validate the dispersal direction proposed herein.

The impressive improvements in qua therapy efficacy alone are not sufficient to substantially reduce the Hepatitis C Virus burden because of the usually very long asymptomatic phase of the infection. In turn, this renders prevention of infection of great importance. The value of learning how the virus has spread in the past is that this can provide clues as to what routes the virus likely spreads through today, which can feedback into prevention policy. In Tunisia, HCV subtypes 2i and 4d are minor circulating subtypes. Here, we applied a Bayesian Markov Chain Monte Carlo method for visualization of spatial and temporal spread of HCV-2i and 4d in Tunisia and some other countries in the world. Our analysis included sequences retrieved from Genbank and isolated from several countries in the world; 21 HCV-NS5B subtype 2i genome sequences obtained during the period 2002-2020 and 206 HCV-NS5B-4d sequences detected between 2000 and 2019. Phylogenetic analysis revealed that two geographical clusters could be identified in HCV-2i tree with two clearly distinguished clusters in HCV-4d Tree. The estimated time for the most recent common ancestor suggested that current HCV-2i strains emerged in 1963 [1930, 1995] and current HCV-4d strains emerged in 1992 [1988, 1996] in Tunisia and other countries from the world investigated in the present study.