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  1. Article ; Online: Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples.

    Gonçalves, José / Gomes da Silva, Priscilla / Koritnik, Tom / Bosilj, Martin / Torres-Franco, Andrés / Diaz, Israel / Rodriguéz, Elisa / Marcos, Eva / Mesquita, João R / García-Encina, Pedro

    Journal of visualized experiments : JoVE

    2023  , Issue 196

    Abstract: Wastewater-based epidemiology has emerged as a promising and efficacious surveillance system for SARS-CoV-2 and other infectious diseases in many nations. The process typically involves wastewater concentration, nucleic acid extraction, amplification of ... ...

    Abstract Wastewater-based epidemiology has emerged as a promising and efficacious surveillance system for SARS-CoV-2 and other infectious diseases in many nations. The process typically involves wastewater concentration, nucleic acid extraction, amplification of selected genomic segments, and detection and quantification of the amplified genomic segment. This methodology can similarly be leveraged to detect and quantify infectious agents, such as SARS-CoV-2, in air samples. Initially, SARS-CoV-2 was presumed to spread primarily through close personal contact with droplets generated by an infected individual while speaking, sneezing, coughing, singing, or breathing. However, a growing number of studies have reported the presence of SARS-CoV-2 RNA in the air of healthcare facilities, establishing airborne transmission as a viable route for the virus. This study presents a composite of established protocols to facilitate environmental detection, quantification, and sequencing of viruses from both wastewater and air samples.
    MeSH term(s) Humans ; RNA, Viral/genetics ; SARS-CoV-2/genetics ; Wastewater ; COVID-19 ; Nucleic Acids
    Chemical Substances RNA, Viral ; Wastewater ; Nucleic Acids
    Language English
    Publishing date 2023-06-30
    Publishing country United States
    Document type Journal Article ; Video-Audio Media ; Research Support, Non-U.S. Gov't
    ZDB-ID 2259946-0
    ISSN 1940-087X ; 1940-087X
    ISSN (online) 1940-087X
    ISSN 1940-087X
    DOI 10.3791/65053
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Circulation of SARS-CoV-Related Coronaviruses and Alphacoronaviruses in Bats from Croatia.

    Brnić, Dragan / Lojkić, Ivana / Krešić, Nina / Zrnčić, Vida / Ružanović, Lea / Mikuletič, Tina / Bosilj, Martin / Steyer, Andrej / Keros, Tomislav / Habrun, Boris / Jemeršić, Lorena

    Microorganisms

    2023  Volume 11, Issue 4

    Abstract: Bats are natural hosts of various coronaviruses (CoVs), including human CoVs, via an assumed direct zoonotic spillover or intermediate animal host. The present study aimed to investigate the circulation of CoVs in a bat colony in the Mediterranean region ...

    Abstract Bats are natural hosts of various coronaviruses (CoVs), including human CoVs, via an assumed direct zoonotic spillover or intermediate animal host. The present study aimed to investigate the circulation of CoVs in a bat colony in the Mediterranean region of Croatia. Guano and individual droppings from four bat species were sampled and tested with the E-gene sarbecovirus RT-qPCR, the pan-CoV semi-nested RT-PCR targeting the RdRp gene and NGS. Furthermore, bat blood samples were investigated for the presence of sarbecovirus-specific antibodies with the surrogate virus neutralization test (sVNT). The initial testing showed E-gene Sarebeco RT-qPCR reactivity in 26% of guano samples while the bat droppings tested negative. The application of RdRp semi-nested RT-PCR and NGS revealed the circulation of bat alpha- and betaCoVs. Phylogenetic analysis confirmed the clustering of betaCoV sequence with SARS-CoV-related bat sarbecoviruses and alpha-CoV sequences with representatives of the
    Language English
    Publishing date 2023-04-07
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms11040959
    Database MEDical Literature Analysis and Retrieval System OnLINE

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