Advancements in next-generation sequencing (NGS) technologies and innovative bioinformatics tools have significantly accelerated virus discovery by analyzing of NGS data. This approach provides a cost-effective and efficient method for processing large datasets, allowing for rapid virus detection and identification. Researchers can comprehensively understand virus-host interactions by integrating data mining with other omics data, such as proteomics (the study of proteins) and metabolomics (the study of metabolic processes). Recent progress has significantly enhanced the efficiency and accuracy of virus identification by using a sophisticated NGS data mining approach. This study provides an in-depth discussion of these techniques, offering a detailed overview of workflows and applicable computational methods. Despite these advantages, the virus discovery process through data mining encounters obstacles such as ethical issues, the absence of standardized protocols for virus discovery procedures, and challenges in validation and interpretation. Addressing these obstacles is crucial for fully realizing the potential of NGS data mining in virus research. This review discusses current methodologies, recent advancements, and future directions to overcome these challenges, ultimately contributing to our understanding of viral diversity and virus-host dynamics.
To evaluate four novel SARS-CoV-2 neutralizing antibody assay kits' application in neutralizing antibodies of population. Questionnaires from the voluntary participating researchers and selected the qualified questionnaires to analyse. For negative and positive coincidence rate, four novel SARS-Cov-2 neutralization antibody assay kits were tested. For within-run and between-run Precision verification study, four serum samples with two high and two low titer neutralizing antibodies were used to analyse. Based on the questionnaires, 175 qualified samples were divided into two groups. (1) negative neutralizing antibodies group: 31 samples had not been infected with the novel SARS-Cov-2 nor received the vaccine within the past one year; (2) positive neutralizing antibodies group: 144 samples were infected by COVID-19. There was 28 negative and 3 positive neutralizing antibodies of the individuals among the 31 negative samples which based on the questionnaires. The negative rates of 28 negative individules tested by GenScript, Vazyme and Hygeianey were 82.14 %, 60.71 % and 17.85 %, while the positive rates of the 147 positive samples were 93.87 %, 95.23 % and 100 %. The within-run coefficient of variations (C·V) of PBNAs, GenScript, Vazyme and Hygeianey were 11.49 %, 9.12 %, 7.97 % and 7.48 %, while the between-run coefficient of variations (C·V) were 21.37 %, 14.21 %, 12.29 % and 11.78 %. Due to the large within-run and between-run coefficient of variations, PBNAs was not suitable for large-scale promotion, while ELISAs could be leveraged for routine monitoring the titer of neutralizing antibodies against SARS-CoV-2.
The novel bunyavirus (SFTSV) causes severe fever with thrombocytopenia syndrome (SFTS), which has a high mortality rate and poses a serious threat to public health. To investigate the genomic characteristics of SFTSV strains isolated in Huzhou, China, in 2023, we sequenced SFTSV isolates and constructed a phylogenetic tree, and analyzed their homologies, average genetic distances, and amino acid (aa) mutations using DNAstar and MEGA software. The two SFTSV strains belonged to genotypes A and D. The nucleotide (nt) and aa sequence similarities of the two strains were 96.61% and 98.64%, respectively. The nt and aa sequence homologies with human reference strains of the same genotypes were 94.44% and 97.28%, respectively. The nt and aa sequence homologies with syngeneic tick host reference strains were 94.56% and 97.96%, respectively. The two SFTSV isolates had different mutation rates in the L, M, and S proteins; the M protein exhibited the highest mutation rate. Further investigations of SFTSV are warranted to explore the distributions of its genotypes, as well as its nt and aa mutations.