CalmBelt: Rapid SARS-CoV-2 Genome Characterization for Outbreak Tracking

Background: The ongoing COVID-19 pandemic is a global health crisis caused by the spread of SARS-CoV-2. Establishing links between known cases is crucial for the containment of COVID-19. In the healthcare setting, the ability to rapidly identify potential healthcare-associated COVID-19 clusters is critical for healthcare worker and patient safety. Increasing sequencing technology accessibility has allowed routine clinical diagnostic laboratories to sequence SARS-CoV-2 in clinical samples. However, these laboratories often lack specialized informatics skills required for sequence analysis. Therefore, an on-site, intuitive sequence analysis tool that enables clinical laboratory users to analyze multiple genomes and derive clinically relevant information within an actionable timeframe is needed.Results: We propose CalmBelt, an integrated framework for on-site whole genome characterization and outbreak tracking. Nanopore sequencing technology enables on-site sequencing and construction of draft genomes for multiple SARS-CoV-2 samples within 12 h. CalmBelt's interactive interface allows users to analyse multiple SARS-CoV-2 genomes by utilizing whole genome information, collection date, and additional information such as predefined potential clusters from epidemiological investigations. CalmBelt also integrates established SARS-CoV-2 nomenclature assignments, GISAID clades and PANGO lineages, allowing users to visualize relatedness between samples together with the nomenclatures. We demonstrated multiple use cases including investigation of potential hospital transmission, mining transmission patterns in a large outbreak, and monitoring possible diagnostic-escape.Conclusions: This paper presents an on-site rapid framework for SARS-CoV-2 whole genome characterization. CalmBelt interactive web application allows non-technical users, such as routine clinical laboratory users in hospitals to determine SARS-CoV-2 variants of concern, as well as investigate the presence of potential transmission clusters. The framework is designed to be compatible with routine usage in clinical laboratories as it only requires readily available sample data, and generates information that impacts immediate infection control mitigations.

Genome and Ecology of a Novel Alteromonas Podovirus, ZP6, Representing a New Viral Genus, Mareflavirus

Alteromonas is an important symbiotic bacterium of phytoplankton, but research on its bacteriophages is still at an elementary level. Our isolation and genome characterization of a novel Alteromonas podovirus, ZP6, identified a new viral genus of podovirus and Gammaproteobacteria phages, namely, Mareflavirus .

Genome Characterization and Phylogenetic Analysis of the First Bovine Rhinitis B Virus Isolate in China

Bovine rhinitis B virus (BRBV) is an emerging viral species in the genus Aphthovirus, family Picornaviridae. Studies suggested that BRBV was considered a potential etiological agent of bovine respiratory disease complex (BRDC). BRBV has been reported in the United States, Sweden, Canada, Japan, and Mexico. However, little information of BRBV was available in China. In this study, we performed viral metagenomic analysis in a calf with respiratory disease. The results showed high abundance (3.85) of BRBV nucleotide and 248 mapped reads in calf samples. Online BLASTn analysis showed that three contigs of those had the highest nucleotide similarity (95%) with one Swedish BRBV isolate (BRBV_SWE1, GenBank accession no. KY432299). To identify the genome characterization of the Chinese BRBV isolate (designated CHN1), six couples of overlapping RT-PCR primers were designed according to genome sequences of BRBV_SWE1. Through gene cloning and splicing, we obtained the genome information of CHN1, possessing 7,465 nucleotides (46.6% G+C). Although CHN1 had the highest nucleotide similarity (95.1%) with BRBV_SWE1, one 11-nucleotide (ACATTTGTTGT) deletion occurred in the 5′ untranslated region compared to SWE1. Phylogenetic analysis showed that CHN1 clustered together with BRBV_SWE1, and far from other BRBV isolates. This study recorded the first discovery of BRBV infection in China. Further investigation should be made in order to evaluate the infection status and epidemiological significance of BRBV in China.