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  1. AU="Kubota, Nanami"
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  1. Article ; Online: L. pneumophila

    Holland, Mische / Farinella, Danielle N / Cruz-Lorenzo, Emily / Laubscher, Madelyn I / Doakes, Darian A / Ramos, Maria A / Kubota, Nanami / Levin, Tera C

    mBio

    2023  Volume 14, Issue 5, Page(s) e0120723

    Abstract: Importance: Before environmental opportunistic pathogens can infect humans, they must first successfully grow and compete with other microbes in nature, often via secreted antimicrobials. We previously discovered that the ... ...

    Abstract Importance: Before environmental opportunistic pathogens can infect humans, they must first successfully grow and compete with other microbes in nature, often via secreted antimicrobials. We previously discovered that the bacterium
    MeSH term(s) Humans ; Legionella pneumophila/metabolism ; Legionnaires' Disease/microbiology
    Language English
    Publishing date 2023-09-20
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2557172-2
    ISSN 2150-7511 ; 2161-2129
    ISSN (online) 2150-7511
    ISSN 2161-2129
    DOI 10.1128/mbio.01207-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Protocol for safe, affordable, and reproducible isolation and quantitation of SARS-CoV-2 RNA from wastewater.

    Trujillo, Monica / Cheung, Kristen / Gao, Anna / Hoxie, Irene / Kannoly, Sherin / Kubota, Nanami / San, Kaung Myat / Smyth, Davida S / Dennehy, John J

    PloS one

    2021  Volume 16, Issue 9, Page(s) e0257454

    Abstract: The following protocol describes our workflow for processing wastewater with the goal of detecting the genetic signal of SARS-CoV-2. The steps include pasteurization, virus concentration, RNA extraction, and quantification by RT-qPCR. We include ... ...

    Abstract The following protocol describes our workflow for processing wastewater with the goal of detecting the genetic signal of SARS-CoV-2. The steps include pasteurization, virus concentration, RNA extraction, and quantification by RT-qPCR. We include auxiliary steps that provide new users with tools and strategies that will help troubleshoot key steps in the process. This protocol is one of the safest, cheapest, and most reproducible approaches for the detection of SARS-CoV-2 RNA in wastewater. Owing to a pasteurization step, it is safe for use in a BSL2 facility. In addition to making the protocol safe for the personnel involved, pasteurization had the added benefit of increasing the SARS-CoV-2 genetic signal. Furthermore, the RNA obtained using this protocol can be sequenced using both Sanger and Illumina sequencing technologies. The protocol was adopted by the New York City Department of Environmental Protection in August 2020 to monitor SARS-CoV-2 prevalence in wastewater in all five boroughs of the city. In the future, this protocol could be used to detect a variety of other clinically relevant viruses in wastewater and serve as a foundation of a wastewater surveillance strategy for monitoring community spread of known and emerging viral pathogens.
    MeSH term(s) COVID-19/virology ; Costs and Cost Analysis/economics ; Humans ; New York City ; Prevalence ; RNA, Viral/genetics ; Real-Time Polymerase Chain Reaction/economics ; Real-Time Polymerase Chain Reaction/methods ; SARS-CoV-2/genetics ; Wastewater/virology
    Chemical Substances RNA, Viral ; Waste Water
    Language English
    Publishing date 2021-09-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0257454
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Protocol for Safe, Affordable, and Reproducible Isolation and Quantitation of SARS-CoV-2 RNA from Wastewater

    Trujillo, Monica / Cheung, Kristen / Gao, Anna / Hoxie, Irene / Kannoly, Sherin / Kubota, Nanami / San, Kaung Myat / Smith, Davida S / Dennehy, John J

    medRxiv

    Abstract: The following protocol describes our workflow for processing wastewater with the goal of detecting the genetic signal of SARS-CoV-2. The steps include pasteurization, virus concentration, RNA extraction, and quantification by RT-qPCR. We include ... ...

    Abstract The following protocol describes our workflow for processing wastewater with the goal of detecting the genetic signal of SARS-CoV-2. The steps include pasteurization, virus concentration, RNA extraction, and quantification by RT-qPCR. We include auxiliary steps that provide new users with tools and strategies that will help troubleshoot key steps in the process. This protocol is one of the safest, cheapest, and most reproducible approaches for the detection of SARS-CoV-2 RNA in wastewater. Furthermore, the RNA obtained using this protocol, minus the pasteurization step, can be sequenced both using a targeted approach sequencing specific regions or the whole genome. The protocol was adopted by the New York City Department of Environmental Protection in August 2020 to support their efforts in monitoring SARS-CoV-2 prevalence in wastewater in all five boroughs of the city. Owing to a pasteurization step, it is safe for use in a BSL1+ facility. This step increases the genetic signal of the virus while making the protocol safe for the personnel involved. This protocol could be used to isolate a variety of other clinically relevant viruses from wastewater and serve as a foundation of a wastewater surveillance strategy for monitoring community spread of known and emerging viral pathogens.
    Keywords covid19
    Language English
    Publishing date 2021-02-17
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.02.16.21251787
    Database COVID19

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  4. Article ; Online: Publisher Correction: Tracking cryptic SARS-CoV-2 lineages detected in NYC wastewater.

    Smyth, Davida S / Trujillo, Monica / Gregory, Devon A / Cheung, Kristen / Gao, Anna / Graham, Maddie / Guan, Yue / Guldenpfennig, Caitlyn / Hoxie, Irene / Kannoly, Sherin / Kubota, Nanami / Lyddon, Terri D / Markman, Michelle / Rushford, Clayton / San, Kaung Myat / Sompanya, Geena / Spagnolo, Fabrizio / Suarez, Reinier / Teixeiro, Emma /
    Daniels, Mark / Johnson, Marc C / Dennehy, John J

    Nature communications

    2022  Volume 13, Issue 1, Page(s) 1836

    Language English
    Publishing date 2022-03-30
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-022-29573-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Tracking cryptic SARS-CoV-2 lineages detected in NYC wastewater.

    Smyth, Davida S / Trujillo, Monica / Gregory, Devon A / Cheung, Kristen / Gao, Anna / Graham, Maddie / Guan, Yue / Guldenpfennig, Caitlyn / Hoxie, Irene / Kannoly, Sherin / Kubota, Nanami / Lyddon, Terri D / Markman, Michelle / Rushford, Clayton / San, Kaung Myat / Sompanya, Geena / Spagnolo, Fabrizio / Suarez, Reinier / Teixeiro, Emma /
    Daniels, Mark / Johnson, Marc C / Dennehy, John J

    Nature communications

    2022  Volume 13, Issue 1, Page(s) 635

    Abstract: Tracking SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To monitor New York City (NYC) for the presence of novel ... ...

    Abstract Tracking SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To monitor New York City (NYC) for the presence of novel variants, we deep sequence most of the receptor binding domain coding sequence of the S protein of SARS-CoV-2 isolated from the New York City wastewater. Here we report detecting increasing frequencies of novel cryptic SARS-CoV-2 lineages not recognized in GISAID's EpiCoV database. These lineages contain mutations that had been rarely observed in clinical samples, including Q493K, Q498Y, E484A, and T572N and share many mutations with the Omicron variant of concern. Some of these mutations expand the tropism of SARS-CoV-2 pseudoviruses by allowing infection of cells expressing the human, mouse, or rat ACE2 receptor. Finally, pseudoviruses containing the spike amino acid sequence of these lineages were resistant to different classes of receptor binding domain neutralizing monoclonal antibodies. We offer several hypotheses for the anomalous presence of these lineages, including the possibility that these lineages are derived from unsampled human COVID-19 infections or that they indicate the presence of a non-human animal reservoir.
    MeSH term(s) Adult ; Aged ; Animals ; Antibodies, Monoclonal/immunology ; Antibodies, Neutralizing/immunology ; Antibodies, Viral/immunology ; COVID-19/virology ; Female ; Genetic Variation ; High-Throughput Nucleotide Sequencing ; Humans ; Male ; Mice ; Middle Aged ; Mutation ; New York City ; Protein Binding ; Rats ; SARS-CoV-2/genetics ; SARS-CoV-2/isolation & purification ; Spike Glycoprotein, Coronavirus/immunology ; Wastewater/virology ; Water Microbiology ; Young Adult
    Chemical Substances Antibodies, Monoclonal ; Antibodies, Neutralizing ; Antibodies, Viral ; Spike Glycoprotein, Coronavirus ; Waste Water ; spike protein, SARS-CoV-2
    Language English
    Publishing date 2022-02-03
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-022-28246-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Detection of Mutations Associated with Variants of Concern Via High Throughput Sequencing of SARS-CoV-2 Isolated from NYC Wastewater

    Smyth, Davida S / Trujillo, Monica / Cheung, Kristen / Gao, Anna / Hoxie, Irene / Kannoly, Sherin / Kubota, Nanami / Markman, Michelle / San, Kaungmyat / Sompanya, Geena / Dennehy, John J

    medRxiv

    Abstract: Monitoring SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To date, most data on SARS-CoV-2 genetic diversity has ... ...

    Abstract Monitoring SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To date, most data on SARS-CoV-2 genetic diversity has come from the sequencing of clinical samples, but such studies may suffer limitations due to costs and throughput. Wastewater-based epidemiology may provide an alternative and complementary approach for monitoring communities for novel variants. Given that SARS-CoV-2 can infect the cells of the human gut and is found in high concentrations in feces, wastewater may be a valuable source of SARS-CoV-2 RNA, which can be deep sequenced to provide information on the circulating variants in a community. Here we describe a safe, affordable protocol for the sequencing of SARS-CoV-2 RNA using high-throughput Illumina sequencing technology. Our targeted sequencing approach revealed the presence of mutations associated with several Variants of Concern at appreciable frequencies. Our work demonstrates that wastewater-based SARS-CoV-2 sequencing can inform surveillance efforts monitoring the community spread of SARS-CoV-2 Variants of Concern and detect the appearance of novel emerging variants more cheaply, safely, and efficiently than the sequencing of individual clinical samples.
    Keywords covid19
    Language English
    Publishing date 2021-03-23
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.03.21.21253978
    Database COVID19

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  7. Article ; Online: Tracking Cryptic SARS-CoV-2 Lineages Detected in NYC Wastewater

    Smyth, Davida S / Trujillo, Monica / Gregory, Devon A / Cheung, Kristen / Gao, Anna / Graham, Maddie / Guan, Yue / Guldenpfennig, Caitlyn / Hoxie, Irene / Kannoly, Sherin / Kubota, Nanami / Lyddon, Terri D / Markman, Michelle / Rushford, Clayton / San, Kaung Myat / Sompanya, Geena / Spagnolo, Fabrizio / Suarez, Reinier / Teixeiro, Emma /
    Daniels, Mark / Johnson, Marc / Dennehy, John J

    medRxiv

    Abstract: Tracking SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To monitor New York City (NYC) for the presence of novel ... ...

    Abstract Tracking SARS-CoV-2 genetic diversity is strongly indicated because diversifying selection may lead to the emergence of novel variants resistant to naturally acquired or vaccine-induced immunity. To monitor New York City (NYC) for the presence of novel variants, we amplified regions of the SARS-CoV-2 Spike protein gene from RNA acquired from all 14 NYC wastewater treatment plants (WWTPs) and ascertained the diversity of lineages from these samples using high throughput sequencing. Here we report the detection and increasing frequencies of novel SARS-CoV-2 lineages not recognized in GISAIDs EpiCoV database. These lineages contain mutations rarely observed in clinical samples, including Q493K, Q498Y, H519N and T572N. Many of these mutations were found to expand the tropism of SARS-CoV-2 pseudoviruses by allowing infection of cells expressing the human, mouse, or rat ACE2 receptor. In addition, pseudoviruses containing the Spike amino acid sequence of these lineages were found to be resistant to many different classes of receptor binding domain (RBD) binding neutralizing monoclonal antibodies. We offer several hypotheses for the anomalous presence of these mutations, including the possibility of a non-human animal reservoir. Although wastewater sampling cannot provide direct inference of SARS-CoV-2 clinical sequences, our research revealed several lineages that could be relevant to public health and they would not have been discovered if not for wastewater surveillance.
    Keywords covid19
    Language English
    Publishing date 2021-07-29
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.07.26.21261142
    Database COVID19

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    Inter-library loan at ZB MED

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  8. Article: A global metagenomic map of urban microbiomes and antimicrobial resistance

    Danko, David / Bezdan, Daniela / Afshin, Evan E / Ahsanuddin, Sofia / Bhattacharya, Chandrima / Butler, Daniel J / Chng, Kern Rei / Donnellan, Daisy / Hecht, Jochen / Jackson, Katelyn / Kuchin, Katerina / Karasikov, Mikhail / Lyons, Abigail / Mak, Lauren / Meleshko, Dmitry / Mustafa, Harun / Mutai, Beth / Neches, Russell Y / Ng, Amanda /
    Nikolayeva, Olga / Nikolayeva, Tatyana / Png, Eileen / Ryon, Krista A / Sanchez, Jorge L / Shaaban, Heba / Sierra, Maria A / Thomas, Dominique / Young, Ben / Abudayyeh, Omar O / Alicea, Josue / Bhattacharyya, Malay / Blekhman, Ran / Castro-Nallar, Eduardo / Cañas, Ana M / Chatziefthimiou, Aspassia D / Crawford, Robert W / De Filippis, Francesca / Deng, Youping / Desnues, Christelle / Dias-Neto, Emmanuel / Dybwad, Marius / Elhaik, Eran / Ercolini, Danilo / Frolova, Alina / Gankin, Dennis / Gootenberg, Jonathan S / Graf, Alexandra B / Green, David C / Hajirasouliha, Iman / Hastings, Jaden J.A / Hernandez, Mark / Iraola, Gregorio / Jang, Soojin / Kahles, Andre / Kelly, Frank J / Knights, Kaymisha / Kyrpides, Nikos C / Łabaj, Paweł P / Lee, Patrick K.H / Leung, Marcus H.Y / Ljungdahl, Per O / Mason-Buck, Gabriella / McGrath, Ken / Meydan, Cem / Mongodin, Emmanuel F / Moraes, Milton Ozorio / Nagarajan, Niranjan / Nieto-Caballero, Marina / Noushmehr, Houtan / Oliveira, Manuela / Ossowski, Stephan / Osuolale, Olayinka O / Özcan, Orhan / Paez-Espino, David / Rascovan, Nicolás / Richard, Hugues / Rätsch, Gunnar / Schriml, Lynn M / Semmler, Torsten / Sezerman, Osman U / Shi, Leming / Shi, Tieliu / Siam, Rania / Song, Le Huu / Suzuki, Haruo / Court, Denise Syndercombe / Tighe, Scott W / Tong, Xinzhao / Udekwu, Klas I / Ugalde, Juan A / Valentine, Brandon / Vassilev, Dimitar I / Vayndorf, Elena M / Velavan, Thirumalaisamy P / Wu, Jun / Zambrano, María M / Zhu, Jifeng / Zhu, Sibo / Mason, Christopher E / Abdullah, Natasha / Abraao, Marcos / Adel, Ait-hamlat / Afaq, Muhammad / Al-Quaddoomi, Faisal S / Alam, Ireen / Albuquerque, Gabriela E / Alexiev, Alex / Ali, Kalyn / Alvarado-Arnez, Lucia E / Aly, Sarh / Amachee, Jennifer / Amorim, Maria G / Ampadu, Majelia / Amran, Muhammad Al-Fath / An, Nala / Andrew, Watson / Andrianjakarivony, Harilanto / Angelov, Michael / Antelo, Verónica / Aquino, Catharine / Aranguren, Álvaro / Araujo, Luiza F / Vasquez Arevalo, Hitler Francois / Arevalo, Jenny / Arnan, Carme / Alvarado Arnez, Lucia Elena / Arredondo, Fernanda / Arthur, Matthew / Asenjo, Freddy / Aung, Thomas Saw / Auvinet, Juliette / Aventin, Nuria / Ayaz, Sadaf / Baburyan, Silva / Bakere, Abd-Manaaf / Bakhl, Katrin / Bartelli, Thais F / Batdelger, Erdenetsetseg / Baudon, François / Becher, Kevin / Bello, Carla / Benchouaia, Médine / Benisty, Hannah / Benoiston, Anne-Sophie / Benson, Joseph / Benítez, Diego / Bernardes, Juliana / Bertrand, Denis / Beurmann, Silvia / Bitard-Feildel, Tristan / Bittner, Lucie / Black, Christina / Blanc, Guillaume / Blyther, Brittany / Bode, Toni / Boeri, Julia / Boldgiv, Bazartseren / Bolzli, Kevin / Bordigoni, Alexia / Borrelli, Ciro / Bouchard, Sonia / Bouly, Jean-Pierre / Boyd, Alicia / Branco, Gabriela P / Breschi, Alessandra / Brindefalk, Björn / Brion, Christian / Briones, Alan / Buczansla, Paulina / Burke, Catherine M / Burrell, Aszia / Butova, Alina / Buttar, Irvind / Bynoe, Jalia / Bönigk, Sven / Bøifot, Kari O / Caballero, Hiram / Cai, Xiao Wen / Calderon, Dayana / Cantillo, Angela / Carbajo, Miguel / Carbone, Alessandra / Cardenas, Anais / Carrillo, Katerine / Casalot, Laurie / Castro, Sofia / Castro, Ana V / Castro, Astred / Castro, Ana Valeria B / Cawthorne, Simone / Cedillo, Jonathan / Chaker, Salama / Chalangal, Jasna / Chan, Allison / Chasapi, Anastasia I / Chatziefthimiou, Starr / Chaudhuri, Sreya Ray / Chavan, Akash Keluth / Chavez, Francisco / Chem, Gregory / Chen, Xiaoqing / Chen, Michelle / Chen, Jenn-Wei / Chernomoretz, Ariel / Chettouh, Allaeddine / Cheung, Daisy / Chicas, Diana / Chiu, Shirley / Choudhry, Hira / Chrispin, Carl / Ciaramella, Kianna / Cifuentes, Erika / Cohen, Jake / Coil, David A / Collin, Sylvie / Conger, Colleen / Conte, Romain / Corsi, Flavia / Cossio, Cecilia N / Costa, Ana F / Cuebas, Delisia / D’Alessandro, Bruno / Dahlhausen, Katherine E / Darling, Aaron E / Das, Pujita / Davenport, Lucinda B / David, Laurent / Davidson, Natalie R / Dayama, Gargi / Delmas, Stéphane / Deng, Chris K / Dequeker, Chloé / Desert, Alexandre / Devi, Monika / Dezem, Felipe S / Dias, Clara N / Donahoe, Timothy Ryan / Dorado, Sonia / Dorsey, LaShonda / Dotsenko, Valeriia / Du, Steven / Dutan, Alexandra / Eady, Naya / Eisen, Jonathan A / Elaskandrany, Miar / Epping, Lennard / Escalera-Antezana, Juan P / Ettinger, Cassie L / Faiz, Iqra / Fan, Luice / Farhat, Nadine / Faure, Emile / Fauzi, Fazlina / Feigin, Charlie / Felice, Skye / Ferreira, Laís Pereira / Figueroa, Gabriel / Fleiss, Aubin / Flores, Denisse / Velasco Flores, Jhovana L / Fonseca, Marcos A.S / Foox, Jonathan / Forero, Juan Carlos / Francis, Aaishah / French, Kelly / Fresia, Pablo / Friedman, Jacob / Fuentes, Jaime J / Galipon, Josephine / Garcia, Mathilde / Garcia, Laura / García, Catalina / Geiger, Annie / Gerner, Samuel M / Ghose, Sonia L / Giang, Dao Phuong / Giménez, Matías / Giovannelli, Donato / Githae, Dedan / Gkotzis, Spyridon / Godoy, Liliana / Goldman, Samantha / Gonnet, Gaston H / Gonzalez, Juana / Gonzalez, Andrea / Gonzalez-Poblete, Camila / Gray, Andrew / Gregory, Tranette / Greselle, Charlotte / Guasco, Sophie / Guerra, Juan / Gurianova, Nika / Haehr, Wolfgang / Halary, Sebastien / Hartkopf, Felix / Hawkins-Zafarnia, Arya / Hazrin-Chong, Nur Hazlin / Helfrich, Eric / Hell, Eva / Henry, Tamera / Hernandez, Samuel / Hernandez, Pilar Lopez / Hess-Homeier, David / Hittle, Lauren E / Hoan, Nghiem Xuan / Holik, Aliaksei / Homma, Chiaki / Hoxie, Irene / Huber, Michael / Humphries, Elizabeth / Hyland, Stephanie / Hässig, Andrea / Häusler, Roland / Hüsser, Nathalie / Petit, Robert A / Iderzorig, Badamnyambuu / Igarashi, Mizuki / Iqbal, Shaikh B / Ishikawa, Shino / Ishizuka, Sakura / Islam, Sharah / Islam, Riham / Ito, Kohei / Ito, Sota / Ito, Takayuki / Ivankovic, Tomislav / Iwashiro, Tomoki / Jackson, Sarah / Jacobs, JoAnn / James, Marisano / Jaubert, Marianne / Jerier, Marie-Laure / Jiminez, Esmeralda / Jinfessa, Ayantu / De Jong, Ymke / Joo, Hyun Woo / Jospin, Guilllaume / Kajita, Takema / Ahmad Kassim, Affifah Saadah / Kato, Nao / Kaur, Amrit / Kaur, Inderjit / de Souza Gomes Kehdy, Fernanda / Khadka, Vedbar S / Khan, Shaira / Khavari, Mahshid / Ki, Michelle / Kim, Gina / Kim, Hyung Jun / Kim, Sangwan / King, Ryan J / KoLoMonaco, Giuseppe / Koag, Ellen / Kobko-Litskevitch, Nadezhda / Korshevniuk, Maryna / Kozhar, Michael / Krebs, Jonas / Kubota, Nanami / Kuklin, Andrii / Kumar, Sheelta S / Kwong, Rachel / Kwong, Lawrence / Lafontaine, Ingrid / Lago, Juliana / Lai, Tsoi Ying / Laine, Elodie / Laiola, Manolo / Lakhneko, Olha / Lamba, Isha / de Lamotte, Gerardo / Lannes, Romain / De Lazzari, Eleonora / Leahy, Madeline / Lee, Hyunjung / Lee, Yunmi / Lee, Lucy / Lemaire, Vincent / Leong, Emily / Lewandowska, Dagmara / Li, Chenhao / Liang, Weijun / Lin, Moses / Lisboa, Priscilla / Litskevitch, Anna / Liu, Eric Minwei / Liu, Tracy / Livia, Mayra Arauco / Lo, Yui Him / Losim, Sonia / Loubens, Manon / Lu, Jennifer / Lykhenko, Olexandr / Lysakova, Simona / Mahmoud, Salah / Majid, Sara Abdul / Makogon, Natalka / Maldonado, Denisse / Mallari, Krizzy / Malta, Tathiane M / Mamun, Maliha / Manoir, Dimitri / Marchandon, German / Marciniak, Natalia / Marinovic, Sonia / Marques, Brunna / Mathews, Nicole / Matsuzaki, Yuri / Matthys, Vincent / May, Madelyn / McComb, Elias / Meagher, Annabelle / Melamed, Adiell / Menary, Wayne / Mendez, Katterinne N / Mendez, Ambar / Mendy, Irène Mauricette / Meng, Irene / Menon, Ajay / Menor, Mark / Meoded, Roy / Merino, Nancy / Miah, Karishma / Mignotte, Mathilde / Miketic, Tanja / Miranda, Wilson / Mitsios, Athena / Miura, Ryusei / Miyake, Kunihiko / Moccia, Maria D / Mohan, Natasha / Mohsin, Mohammed / Moitra, Karobi / Moldes, Mauricio / Molina, Laura / Molinet, Jennifer / Molomjamts, Orgil-Erdene / Moniruzzaman, Eftar / Moon, Sookwon / de Oliveira Moraes, Isabelle / Moreno, Mario / Mosella, Maritza S / Moser, Josef W / Mozsary, Christopher / Muehlbauer, Amanda L / Muner, Oasima / Munia, Muntaha / Munim, Naimah / Muscat, Maureen / Mustac, Tatjana / Muñoz, Cristina / Nadalin, Francesca / Naeem, Areeg / Nagy-Szakal, Dorottya / Nakagawa, Mayuko / Narce, Ashanti / Nasu, Masaki / Navarrete, Irene González / Naveed, Hiba / Nazario, Bryan / Nedunuri, Narasimha Rao / Neff, Thomas / Nesimi, Aida / Ng, Wan Chiew / Ng, Synti / Nguyen, Gloria / Ngwa, Elsy / Nicolas, Agier / Nicolas, Pierre / Nika, Abdollahi / Noorzi, Hosna / Nosrati, Avigdor / Nunes, Diana N / O’Brien, Kathryn / O’Hara, Niamh B / Oken, Gabriella / Olawoyin, Rantimi A / Oliete, Javier Quilez / Olmeda, Kiara / Oluwadare, Tolulope / Oluwadare, Itunu A / Ordioni, Nils / Orpilla, Jenessa / Orrego, Jacqueline / Ortega, Melissa / Osma, Princess / Osuolale, Israel O / Osuolale, Oluwatosin M / Ota, Mitsuki / Oteri, Francesco / Oto, Yuya / Ounit, Rachid / Ouzounis, Christos A / Pakrashi, Subhamitra / Paras, Rachel / Pardo-Este, Coral / Park, Young-Ja / Pastuszek, Paulina / Patel, Suraj / Pathmanathan, Jananan / Patrignani, Andrea / 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Sanchir, Khaliun / Sankar, Ryan / de Souza Santos, Paulo Thiago / Saravi, Zulena / Sasaki, Kai / Sato, Yuma / Sato, Masaki / Sato, Seisuke / Sato, Ryo / Sato, Kaisei / Sayara, Nowshin / Schaaf, Steffen / Schacher, Oli / Schinke, Anna-Lena M / Schlapbach, Ralph / Schori, Christian / Schriml, Jason R / Segato, Felipe / Sepulveda, Felipe / Serpa, Marianna S / De Sessions, Paola F / Severyn, Juan C / Shakil, Maheen / Shalaby, Sarah / Shari, Aliyah / Shim, Hyenah / Shirahata, Hikaru / Shiwa, Yuh / Da Silva, Ophélie / Silva, Jordana M / Simon, Gwenola / Singh, Shaleni K / Sluzek, Kasia / Smith, Rebecca / So, Eunice / Andreu Somavilla, Núria / Sonohara, Yuya / Rufino de Sousa, Nuno / Souza, Camila / Sperry, Jason / Sprinsky, Nicolas / Stark, Stefan G / La Storia, Antonietta / Suganuma, Kiyoshi / Suliman, Hamood / Sullivan, Jill / Supie, Arif Asyraf Md / Suzuki, Chisato / Takagi, Sora / Takahara, Fumie / Takahashi, Naoya / Takahashi, Kou / Takeda, Tomoki / Takenaka, Isabella K / Tanaka, Soma / 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    Cell. 2021 June 24, v. 184, no. 13

    2021  

    Abstract: We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of ... ...

    Institution The International MetaSUB Consortium
    Abstract We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.
    Keywords Archaea ; antibiotic resistance ; climate ; forensic sciences ; humans ; metagenomics ; microbial ecology ; microbiome ; public health
    Language English
    Dates of publication 2021-0624
    Size p. 3376-3393.e17.
    Publishing place Elsevier Inc.
    Document type Article
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2021.05.002
    Database NAL-Catalogue (AGRICOLA)

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