Metagenomics Approaches to Investigate the Gut Microbiome of COVID-19 Patients

Over the last decade, it has become increasingly apparent that the microbiome is a central component in human well-being and illness. However, to establish innovative therapeutic methods, it is crucial to learn more about the microbiota. Thereby, the area of metagenomics and associated bioinformatic...

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Veröffentlicht in:Bioinformatics and Biology Insights 2021, Vol.15, p.1177932221999428
Hauptverfasser: Sehli, Sofia, Allali, Imane, Chahboune, Rajaa, Bakri, Youssef, Al Idrissi, Najib, Hamdi, Salsabil, Nejjari, Chakib, Amzazi, Saaïd, Ghazal, Hassan
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Sprache:eng
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Zusammenfassung:Over the last decade, it has become increasingly apparent that the microbiome is a central component in human well-being and illness. However, to establish innovative therapeutic methods, it is crucial to learn more about the microbiota. Thereby, the area of metagenomics and associated bioinformatics methods and tools has become considerable in the study of the human microbiome biodiversity. The application of these metagenomics approaches to studying the gut microbiome in COVID-19 patients could be one of the promising areas of research in the fight against the SARS-CoV-2 infection and disparity. Therefore, understanding how the gut microbiome is affected by or could affect the SARS-CoV-2 is very important. Herein, we present an overview of approaches and methods used in the current published studies on COVID-19 patients and the gut microbiome. The accuracy of these researches depends on the appropriate choice and the optimal use of the metagenomics bioinformatics platforms and tools. Interestingly, most studies reported that COVID-19 patients’ microbiota are enriched with opportunistic microorganisms. The choice and use of appropriate computational tools and techniques to accurately investigate the gut microbiota is therefore critical in determining the appropriate microbiome profile for diagnosis and the most reliable antiviral or preventive microbial composition.
ISSN:1177-9322
1177-9322
DOI:10.1177/1177932221999428