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In this work, we studied the selective pressure and evolutionary analysis on the SARS-CoV-2 BF.7 and BQ.1.1 lineages circulating in Italy from July to December 2022. Two different datasets were constructed: the first comprised 694 SARS-CoV-2 BF.7 lineage sequences and the second comprised 734 BQ.1.1 sequences, available in the Italian COVID-19 Genomic (I-Co-Gen) platform and GISAID (last access date 15 December 2022). Alignments were performed with MAFFT v.7 under the Galaxy platform. The HYPHY software was used to study the selective pressure. Four positively selected sites (two in nsp3 and two in the spike) were identified in the BF.7 dataset, and two (one in ORF8 and one in the spike gene) were identified in the BQ.1.1 dataset. Mutation analysis revealed that R408S and N440K are very common in the spike of the BF.7 genomes, as well as L452R among BQ.1.1. N1329D and Q180H in nsp3 were found, respectively, at low and rare frequencies in BF.7, while I121L and I121T were found to be rare in ORF8 for BQ.1.1. The positively selected sites may have been driven by the selection for increased viral fitness, under circumstances of defined selective pressure, as well by host genetic factors. [ABSTRACT FROM AUTHOR]

The SARS-CoV-2 Delta variant of concern (VOC) was often associated with serious clinical course of the COVID-19 disease. Herein, we investigated the selective pressure, gene flow and evaluation on the frequencies of mutations causing amino acid substitutions in the Delta variant in three Italian regions. A total of 1500 SARS-CoV-2 Delta genomes, collected in Italy from April to October 2021 were investigated, including a subset of 596 from three Italian regions. The selective pressure and the frequency of amino acid substitutions and the prediction of their possible impact on the stability of the proteins were investigated. Delta variant dataset, in this study, identified 68 sites under positive selection: 16 in the spike (23.5%), 11 in nsp2 (16.2%) and 10 in nsp12 (14.7%) genes. Three of the positive sites in the spike were located in the receptor-binding domain (RBD). In Delta genomes from the three regions, 6 changes were identified as very common (>83.7%), 4 as common (>64.0%), 21 at low frequency (2.1%–25.0%) and 29 rare (≤2.0%). The detection of positive selection on key mutations may represent a model to identify recurrent signature mutations of the virus. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate and characterise meningococcal carriage among healthy men who have sex with men (MSM) within a screening programme for Neisseria gonorrhoeae infection at the San Gallicano Dermatological Institute, Italy.Methods: A total of 441 MSM attending the STI/HIV Centre of the San Gallicano Institute, Rome, Italy, in 2016 were routinely screened for N. gonorrhoeae infection by pharyngeal and rectal swabs. N. meningitidis isolates were evaluated for antibiotic susceptibility and characterised by whole genome sequencing. Genetic relationships among the meningococcal carriage isolates were determined using core genome multilocus sequence typing analysis. The soluble domain of AniA (sAniA) protein expression by western blotting was also evaluated.Results: A total of 62 (14.1%, 95% CI 11.1 to 17.6) carriage meningococci were found among 441 MSM. Forty-three viable N. meningitidis isolates were cultivated (42 from pharyngeal and 1 from rectal swabs). All the viable isolates were susceptible to cefotaxime, ceftriaxone, ciprofloxacin and rifampicin. Four isolates were penicillin G-resistant and 73% of those penicillin G-susceptible showed a minimum inhibitory concentration from 0.064 μg/mL to 0.25 μg/mL. Serogroup B was the most frequent (44.2%), followed by Z (16.3%), E (9.3%), and Y and W (2.3%), respectively. Multilocus sequence typing analysis identified 29 sequence types belonging to 12 clonal complexes. The sAniA protein was expressed in 8 out of 28 (29%) screened meningococcal carriage isolates.Conclusions: Serogroup B meningococcal carriage identified from oral and anal specimens among healthy MSM was the most frequent serogroup identified in this study. Molecular evaluation revealed a degree of similarity among strains belonging to the same clonal complex. [ABSTRACT FROM AUTHOR]

We investigated the impact of social distancing measures, used to contain or mitigate SARS-CoV-2 spread, on the transmission of invasive meningococcal disease (IMD) in Italy. To this end, the temporal correlation between the implementation of lockdown measures in 2020 and IMD incidence was evaluated. A dramatic decline of IMD incidence was observed, suggesting that the measures applied to contain SARS-CoV-2 in Italy affected other infectious diseases transmitted through direct contact and droplets, at least in the early phase of the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Introduction: A COVID-19 outbreak occurred at the end of October 2021 among pilgrims returning from Medjugorje (Bosnia and Herzegovina). Methodology: Whole genome sequencing (WGS) of SARS-CoV-2, epidemiological data, and phylogenetic analysis were used to reconstruct outbreak dynamics. Results: The results suggest that only in one case, associated with the SARS-CoV-2 sub-lineage AY.9.2, it is possible to trace back the place of contagion to Medjugorje, while the other cases were likely to be acquired in the country of origin. Conclusions: The combined use of phylogenetic data derived from WGS, and epidemiological data allowed us to study epidemic dynamics and to formulate a possible hypothesis on the place of exposure to SARS-CoV-2. The identification of different sub-lineages of the SARSCoV-2 Delta variant also suggested that different chains of transmission contributed to the outbreak. [ABSTRACT FROM AUTHOR]

Introduction: Hyperinvasive strains of Neisseria meningitidis serogroup C have caused outbreaks of severe disease in Italy. Here, we report the analysis of the migration patterns of C:P1.5-1,10-8:F3-6:ST-11(cc11) meningococcal strains from different Italian regions collected between 2012 and 2017., Methods: N. meningitidis genomes were sequenced through the whole genome sequencing (WGS) method and were analyzed using the BIGSdb Genome Comparator tool. The phylogeography was performed using BEAST. The gene flows in Italy were tested by using MacClade., Results: The C:P1.5-1,10-8:F3-6:ST-11(cc11) hyperinvasive meningococcal strain, for the data available at the time of the analysis, from UK reached at first Emilia Romagna region, and then, in 2012, was detected in the outbreak occurred in the port of Livorno. The "Tuscany-outbreak strain" was likely introduced in Italy between 2013 and 2014. Most of the observed gene flow events occurred from the Center to Northern part of Italy., Discussion: The phylogeographic analysis allowed to track the dissemination of C:P1.5-1,10-8:F3-6:ST-11(cc11) strains in the country.