Recent advances in nucleic acid sequencing technologies, referred to as 'next-generation' sequencing (NGS), have produced a true revolution and opened new perspectives for research and diagnostic applications, owing to the high speed and throughput of data generation. So far, NGS has been applied to metagenomics-based strategies for the discovery of novel viruses and the characterization of viral communities. Additional applications include whole viral genome sequencing, detection of viral genome variability, and the study of viral dynamics. These applications are particularly suitable for viruses such as human immunodeficiency virus, hepatitis B virus, and hepatitis C virus, whose error-prone replication machinery, combined with the high replication rate, results, in each infected individual, in the formation of many genetically related viral variants referred to as quasi-species. The viral quasi-species, in turn, represents the substrate for the selective pressure exerted by the immune system or by antiviral drugs. With traditional approaches, it is difficult to detect and quantify minority genomes present in viral quasi-species that, in fact, may have biological and clinical relevance. NGS provides, for each patient, a dataset of clonal sequences that is some order of magnitude higher than those obtained with conventional approaches. Hence, NGS is an extremely powerful tool with which to investigate previously inaccessible aspects of viral dynamics, such as the contribution of different viral reservoirs to replicating virus in the course of the natural history of the infection, co-receptor usage in minority viral populations harboured by different cell lineages, the dynamics of development of drug resistance, and the re-emergence of hidden genomes after treatment interruptions. The diagnostic application of NGS is just around the corner.

Significance: Non-Hodgkin lymphomas (NHLs) are associated with HIV-1 infection, but the HIV1 genome is not detectable in malignant B cells. Here we show that variants of the HIV-1 matrix protein p17 (vp17s) are detected in the NHL specimens of HIV+ patients. These vp17s are more frequently detected in HIV+ patients with NHL than in patients without NHL. These vp17s display a potent B-cell growth-promoting activity, which is exerted by activating the Akt signaling pathway. Results obtained by CD spectroscopy and thermal denaturation suggest that mutation-induced protein destabilization may lead to a conformational change potentially responsible for the viral protein to promote B-cell growth. Our results suggest that vp17s may have a role in sustaining lymphomagenesis, thus offering new opportunities to prevent and/or treat HIV-associated NHLs.

We report whole-genome and intra-host variability of SARS-Cov-2 assessed by next generation sequencing (NGS) in upper (URT) and lower respiratory tract (LRT) from COVID-19 patients. The aim was to identify possible tissue-specific patterns and signatures of variant selection for each respiratory compartment. Six patients, admitted to the Intensive Care Unit, were included in the study. Thirteen URT and LRT were analyzed by NGS amplicon-based approach on Ion Torrent Platform. Bioinformatic analysis was performed using both realized in-house and supplied by ThermoFisher programs. Phylogenesis showed clade V clustering of the first patients diagnosed in Italy, and clade G for later strains. The presence of quasispecies was observed, with variants uniformly distributed along the genome and frequency of minority variants spanning from 1% to ~30%. For each patient, the patterns of variants in URT and LRT were profoundly different, indicating compartmentalized virus replication. No clear variant signature and no significant difference in nucleotide diversity between LRT and URT were observed. SARS-CoV-2 presents genetic heterogeneity and quasispecies compartmentalization in URT and LRT. Intra-patient diversity was low. The pattern of minority variants was highly heterogeneous and no specific district signature could be identified, nevertheless, analysis of samples, longitudinally collected in patients, supported quasispecies evolution.

The Ralstonia spp. genus is a group of non-fermentative, Gram-negative bacteria often resistant to many antibiotics, which are emerging as opportunistic pathogens frequently associated with infections in hospital settings. We present herein a case of combined R. pickettii and R. mannitolilytica persisting and relapsing bacteraemia, possibly caused by a septic arterial thrombosis secondary to the rupture of an internal carotid artery aneurysm. Microbiology studies showed that both Ralstonia isolates produced biofilm and carried class D oxacillinase genes. When confronted with infections caused by members of the Ralstonia genus, identification to the species level is crucial for correct clinical management, as the two species show different antibiotic susceptibility patterns.

Since the beginning of COVID-19 pandemic the Real Time sharing of genome sequences of circulating virus supported the diagnostics and surveillance of SARS-CoV-2 and its transmission dynamics. SARS-CoV-2 straightaway showed its tendency to mutate and adapt to the host, culminating in the emergence of variants; so it immediately became of crucial importance to be able to detect them quickly but also to be able to monitor in depth the changes on the whole genome to early identify the new possibly emerging variants. In this scenario, this manuscript aims to provide an overview of the existing methods for the identification of SARS-CoV-2 variants (from rapid method based on identification of one or more specific mutations to Whole Genome sequencing approach-WGS), taking into account limitations, advantages and applications of them in the field of diagnosis and surveillance of SARS-CoV-2.