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      Nasopharyngeal Microbial Communities of Patients Infected With SARS-CoV-2 That Developed COVID-19

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          Abstract

          Background

          SARS-CoV-2 is an RNA virus causing COVID-19. The clinical characteristics and epidemiology of COVID-19 have been extensively investigated, however, only one study so far focused on the patient’s nasopharynx microbiota. In this study we investigated the nasopharynx microbial community of patients that developed different severity levels of COVID-19. We performed 16S ribosomal DNA sequencing from nasopharyngeal swab samples obtained from SARS-CoV-2 positive (56) and negative (18) patients in the province of Alicante (Spain) in their first visit to the hospital. Positive SARS-CoV-2 patients were observed and later categorized in mild (symptomatic without hospitalization), moderate (hospitalization), and severe (admission to ICU). We compared the microbiota diversity and OTU composition among severity groups and built bacterial co-abundance networks for each group.

          Results

          Statistical analysis indicated differences in the nasopharyngeal microbiome of COVID19 patients. 62 OTUs were found exclusively in SARS-CoV-2 positive patients, mostly classified as members of the phylum Bacteroidota (18) and Firmicutes (25). OTUs classified as Prevotella were found to be significantly more abundant in patients that developed more severe COVID-19. Furthermore, co-abundance analysis indicated a loss of network complexity among samples from patients that later developed more severe symptoms.

          Conclusion

          Our study shows that the nasopharyngeal microbiome of COVID-19 patients showed differences in the composition of specific OTUs and complexity of co-abundance networks. Taxa with differential abundances among groups could serve as biomarkers for COVID-19 severity. Nevertheless, further studies with larger sample sizes should be conducted to validate these results.

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          Most cited references40

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Clinical Characteristics of Coronavirus Disease 2019 in China

            Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)
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              A Novel Coronavirus from Patients with Pneumonia in China, 2019

              Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                17 March 2021
                2021
                17 March 2021
                : 12
                : 637430
                Affiliations
                [1] 1Microbiology Department, Alicante University General Hospital - Alicante Institute of Sanitary and Biomedical Research (ISABIAL) , Alicante, Spain
                [2] 2Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke , Nuthetal, Germany
                [3] 3Embrapa Pecuária Sudeste , São Carlos, Brazil
                [4] 4Department of Computer Science, Munster Technological University (MTU) , Cork, Ireland
                [5] 5Evolutionary Genomics Group, División de Microbiología, Universidad Miguel Hernández , San Juan de Alicante, Spain
                [6] 6Infectious Diseases Unit, Alicante University General Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL) , Alicante, Spain
                [7] 7Department of Biology, University of Miami , Miami, FL, United States
                Author notes

                Edited by: Maurizio Sanguinetti, Catholic University of the Sacred Heart, Italy

                Reviewed by: Brunella Posteraro, Catholic University of the Sacred Heart, Italy; Yun Kit Yeoh, The Chinese University of Hong Kong, China

                *Correspondence: Mario López-Pérez, mario.lopezp@ 123456umh.es
                Juan Carlos Rodríguez, rodriguez_juadia@ 123456gva.es

                These authors have contributed equally to this work

                This article was submitted to Infectious Diseases, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2021.637430
                8010661
                33815323
                543f9d7f-fb36-42a0-8eb0-abbacd70ca29
                Copyright © 2021 Ventero, Cuadrat, Vidal, Andrade, Molina-Pardines, Haro-Moreno, Coutinho, Merino, Regitano, Silveira, Afli, López-Pérez and Rodríguez.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 03 December 2020
                : 23 February 2021
                Page count
                Figures: 3, Tables: 1, Equations: 0, References: 40, Pages: 10, Words: 0
                Funding
                Funded by: Instituto de Salud Carlos III 10.13039/501100004587
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                covid-19,sars-cov-2,microbiome,ngs – next generation sequencing,coronavirus,prevotella

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