Literature DB >> 34909793

SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia sp.

Victor J Cantú1,2, Rodolfo A Salido1,2, Shi Huang3, Gibraan Rahman3,4, Rebecca Tsai3, Holly Valentine5,6, Celestine G Magallanes5,6, Stefan Aigner6,7,8, Nathan A Baer7, Tom Barber7, Pedro Belda-Ferre3, Maryann Betty3,7,9, MacKenzie Bryant3, Martin Casas Maya3, Anelizze Castro-Martínez7, Marisol Chacón7, Willi Cheung6,7,10, Evelyn S Crescini7, Peter De Hoff6,7,5, Emily Eisner7, Sawyer Farmer3, Abbas Hakim7, Laura Kohn11, Alma L Lastrella7, Elijah S Lawrence7, Sydney C Morgan6, Toan T Ngo7, Alhakam Nouri7, R Tyler Ostrander7, Ashley Plascencia6,7,8, Christopher A Ruiz7, Shashank Sathe6,7,8, Phoebe Seaver7, Tara Shwartz3, Elizabeth W Smoot7, Thomas Valles3, Gene W Yeo6,8, Louise C Laurent6,5, Rebecca Fielding-Miller11, Rob Knight2,12,13.   

Abstract

Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on surfaces is emerging as an important tool for identifying past exposure to individuals shedding viral RNA. Our past work has demonstrated that SARS-CoV-2 reverse transcription-quantitative PCR (RT-qPCR) signals from surfaces can identify when infected individuals have touched surfaces such as Halloween candy, and when they have been present in hospital rooms or schools. However, the sensitivity and specificity of surface sampling as a method for detecting the presence of a SARS-CoV-2 positive individual, as well as guidance about where to sample, has not been established. To address these questions, and to test whether our past observations linking SARS-CoV-2 abundance to Rothia spp. in hospitals also hold in a residential setting, we performed detailed spatial sampling of three isolation housing units, assessing each sample for SARS-CoV-2 abundance by RT-qPCR, linking the results to 16S rRNA gene amplicon sequences to assess the bacterial community at each location and to the Cq value of the contemporaneous clinical test. Our results show that the highest SARS-CoV-2 load in this setting is on touched surfaces such as light switches and faucets, but detectable signal is present in many non-touched surfaces that may be more relevant in settings such as schools where mask wearing is enforced. As in past studies, the bacterial community predicts which samples are positive for SARS-CoV-2, with Rothia sp. showing a positive association. IMPORTANCE: Surface sampling for detecting SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is increasingly being used to locate infected individuals. We tested which indoor surfaces had high versus low viral loads by collecting 381 samples from three residential units where infected individuals resided, and interpreted the results in terms of whether SARS-CoV-2 was likely transmitted directly (e.g. touching a light switch) or indirectly (e.g. by droplets or aerosols settling). We found highest loads where the subject touched the surface directly, although enough virus was detected on indirectly contacted surfaces to make such locations useful for sampling (e.g. in schools, where students do not touch the light switches and also wear masks so they have no opportunity to touch their face and then the object). We also documented links between the bacteria present in a sample and the SARS-CoV-2 virus, consistent with earlier studies.

Entities:  

Year:  2021        PMID: 34909793      PMCID: PMC8669860          DOI: 10.1101/2021.12.06.21267101

Source DB:  PubMed          Journal:  medRxiv


  20 in total

1.  Alterations of the Gut Microbiota in Patients With Coronavirus Disease 2019 or H1N1 Influenza.

Authors:  Silan Gu; Yanfei Chen; Zhengjie Wu; Yunbo Chen; Hainv Gao; Longxian Lv; Feifei Guo; Xuewu Zhang; Rui Luo; Chenjie Huang; Haifeng Lu; Beiwen Zheng; Jiaying Zhang; Ren Yan; Hua Zhang; Huiyong Jiang; Qiaomai Xu; Jing Guo; Yiwen Gong; Lingling Tang; Lanjuan Li
Journal:  Clin Infect Dis       Date:  2020-12-17       Impact factor: 9.079

2.  Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Authors:  Evan Bolyen; Jai Ram Rideout; Matthew R Dillon; Nicholas A Bokulich; Christian C Abnet; Gabriel A Al-Ghalith; Harriet Alexander; Eric J Alm; Manimozhiyan Arumugam; Francesco Asnicar; Yang Bai; Jordan E Bisanz; Kyle Bittinger; Asker Brejnrod; Colin J Brislawn; C Titus Brown; Benjamin J Callahan; Andrés Mauricio Caraballo-Rodríguez; John Chase; Emily K Cope; Ricardo Da Silva; Christian Diener; Pieter C Dorrestein; Gavin M Douglas; Daniel M Durall; Claire Duvallet; Christian F Edwardson; Madeleine Ernst; Mehrbod Estaki; Jennifer Fouquier; Julia M Gauglitz; Sean M Gibbons; Deanna L Gibson; Antonio Gonzalez; Kestrel Gorlick; Jiarong Guo; Benjamin Hillmann; Susan Holmes; Hannes Holste; Curtis Huttenhower; Gavin A Huttley; Stefan Janssen; Alan K Jarmusch; Lingjing Jiang; Benjamin D Kaehler; Kyo Bin Kang; Christopher R Keefe; Paul Keim; Scott T Kelley; Dan Knights; Irina Koester; Tomasz Kosciolek; Jorden Kreps; Morgan G I Langille; Joslynn Lee; Ruth Ley; Yong-Xin Liu; Erikka Loftfield; Catherine Lozupone; Massoud Maher; Clarisse Marotz; Bryan D Martin; Daniel McDonald; Lauren J McIver; Alexey V Melnik; Jessica L Metcalf; Sydney C Morgan; Jamie T Morton; Ahmad Turan Naimey; Jose A Navas-Molina; Louis Felix Nothias; Stephanie B Orchanian; Talima Pearson; Samuel L Peoples; Daniel Petras; Mary Lai Preuss; Elmar Pruesse; Lasse Buur Rasmussen; Adam Rivers; Michael S Robeson; Patrick Rosenthal; Nicola Segata; Michael Shaffer; Arron Shiffer; Rashmi Sinha; Se Jin Song; John R Spear; Austin D Swafford; Luke R Thompson; Pedro J Torres; Pauline Trinh; Anupriya Tripathi; Peter J Turnbaugh; Sabah Ul-Hasan; Justin J J van der Hooft; Fernando Vargas; Yoshiki Vázquez-Baeza; Emily Vogtmann; Max von Hippel; William Walters; Yunhu Wan; Mingxun Wang; Jonathan Warren; Kyle C Weber; Charles H D Williamson; Amy D Willis; Zhenjiang Zech Xu; Jesse R Zaneveld; Yilong Zhang; Qiyun Zhu; Rob Knight; J Gregory Caporaso
Journal:  Nat Biotechnol       Date:  2019-08       Impact factor: 54.908

3.  3D molecular cartography using LC-MS facilitated by Optimus and 'ili software.

Authors:  Ivan Protsyuk; Alexey V Melnik; Louis-Felix Nothias; Luca Rappez; Prasad Phapale; Alexander A Aksenov; Amina Bouslimani; Sergey Ryazanov; Pieter C Dorrestein; Theodore Alexandrov
Journal:  Nat Protoc       Date:  2017-12-21       Impact factor: 13.491

4.  Architectural design influences the diversity and structure of the built environment microbiome.

Authors:  Steven W Kembel; Evan Jones; Jeff Kline; Dale Northcutt; Jason Stenson; Ann M Womack; Brendan Jm Bohannan; G Z Brown; Jessica L Green
Journal:  ISME J       Date:  2012-01-26       Impact factor: 10.302

5.  Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns.

Authors:  Amnon Amir; Daniel McDonald; Jose A Navas-Molina; Evguenia Kopylova; James T Morton; Zhenjiang Zech Xu; Eric P Kightley; Luke R Thompson; Embriette R Hyde; Antonio Gonzalez; Rob Knight
Journal:  mSystems       Date:  2017-03-07       Impact factor: 6.496

6.  KatharoSeq Enables High-Throughput Microbiome Analysis from Low-Biomass Samples.

Authors:  Jeremiah J Minich; Qiyun Zhu; Stefan Janssen; Ryan Hendrickson; Amnon Amir; Russ Vetter; John Hyde; Megan M Doty; Kristina Stillwell; James Benardini; Jae H Kim; Eric E Allen; Kasthuri Venkateswaran; Rob Knight
Journal:  mSystems       Date:  2018-03-13       Impact factor: 6.496

7.  Environmental contamination by SARS-CoV-2 in a designated hospital for coronavirus disease 2019.

Authors:  Songjie Wu; Ying Wang; Xuelan Jin; Jia Tian; Jianzhong Liu; Yiping Mao
Journal:  Am J Infect Control       Date:  2020-05-12       Impact factor: 2.918

8.  Investigating SARS-CoV-2 surface and air contamination in an acute healthcare setting during the peak of the COVID-19 pandemic in London.

Authors:  Jie Zhou; Jonathan A Otter; James R Price; Cristina Cimpeanu; Danel Meno Garcia; James Kinross; Piers R Boshier; Sam Mason; Frances Bolt; Alison H Holmes; Wendy S Barclay
Journal:  Clin Infect Dis       Date:  2020-07-08       Impact factor: 9.079

9.  SARS-CoV-2 detection status associates with bacterial community composition in patients and the hospital environment.

Authors:  Clarisse Marotz; Pedro Belda-Ferre; Farhana Ali; Promi Das; Shi Huang; Kalen Cantrell; Lingjing Jiang; Cameron Martino; Rachel E Diner; Gibraan Rahman; Daniel McDonald; George Armstrong; Sho Kodera; Sonya Donato; Gertrude Ecklu-Mensah; Neil Gottel; Mariana C Salas Garcia; Leslie Y Chiang; Rodolfo A Salido; Justin P Shaffer; Mac Kenzie Bryant; Karenina Sanders; Greg Humphrey; Gail Ackermann; Niina Haiminen; Kristen L Beck; Ho-Cheol Kim; Anna Paola Carrieri; Laxmi Parida; Yoshiki Vázquez-Baeza; Francesca J Torriani; Rob Knight; Jack Gilbert; Daniel A Sweeney; Sarah M Allard
Journal:  Microbiome       Date:  2021-06-08       Impact factor: 14.650

10.  Analysis of SARS-CoV-2 RNA Persistence across Indoor Surface Materials Reveals Best Practices for Environmental Monitoring Programs.

Authors:  Rodolfo A Salido; Victor J Cantú; Alex E Clark; Sandra L Leibel; Anahid Foroughishafiei; Anushka Saha; Abbas Hakim; Alhakam Nouri; Alma L Lastrella; Anelizze Castro-Martínez; Ashley Plascencia; Bhavika K Kapadia; Bing Xia; Christopher A Ruiz; Clarisse A Marotz; Daniel Maunder; Elijah S Lawrence; Elizabeth W Smoot; Emily Eisner; Evelyn S Crescini; Laura Kohn; Lizbeth Franco Vargas; Marisol Chacón; Maryann Betty; Michal Machnicki; Min Yi Wu; Nathan A Baer; Pedro Belda-Ferre; Peter De Hoff; Phoebe Seaver; R Tyler Ostrander; Rebecca Tsai; Shashank Sathe; Stefan Aigner; Sydney C Morgan; Toan T Ngo; Tom Barber; Willi Cheung; Aaron F Carlin; Gene W Yeo; Louise C Laurent; Rebecca Fielding-Miller; Rob Knight
Journal:  mSystems       Date:  2021-11-02       Impact factor: 6.496

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