2020
DOI: 10.1016/j.csbj.2020.01.007
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Co-occurrence patterns of bacteria within microbiome of Moscow subway

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Cited by 28 publications
(35 citation statements)
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“…The study of the taxonomic diversity of our samples demonstrated the aerosol and surface profiles at the stations, which corresponded with the data from other world subway systems. The majority of the identified genera ( Acinetobacter , Streptococcus , Streptococcus , and Corynebacterium ) are commensals of human skin and mucous membranes [ 6 , 17 , 18 , 19 ], which are widespread in the subways of different cities all around the world (New York, Oslo, Mexico City, Athens, and Boston) [ 17 , 18 , 20 , 21 ]. Some genera ( Cutibacterium , Ralstonia , and Psychrobacter ) were predominant either at the station as a whole or were mostly found in the aerosol or on the surfaces.…”
Section: Discussionmentioning
confidence: 99%
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“…The study of the taxonomic diversity of our samples demonstrated the aerosol and surface profiles at the stations, which corresponded with the data from other world subway systems. The majority of the identified genera ( Acinetobacter , Streptococcus , Streptococcus , and Corynebacterium ) are commensals of human skin and mucous membranes [ 6 , 17 , 18 , 19 ], which are widespread in the subways of different cities all around the world (New York, Oslo, Mexico City, Athens, and Boston) [ 17 , 18 , 20 , 21 ]. Some genera ( Cutibacterium , Ralstonia , and Psychrobacter ) were predominant either at the station as a whole or were mostly found in the aerosol or on the surfaces.…”
Section: Discussionmentioning
confidence: 99%
“…For a comparative analysis of the microbiome, the variable region V4 of the 16S rRNA gene sequencing data was obtained from a previously conducted study (hereinafter referred to as Knomics [ 6 ]). The samples mentioned in this article were swabs from various surfaces of four stations.…”
Section: Methodsmentioning
confidence: 99%
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“…Despite this limitation, a general-level profile of the gut microbiome composition provided by the proposed platform can be useful for assessing the general degree of dysbiosis. It can help in more advanced tasks like predicting response to drug therapy (as suggested by the discovered link between cancer immunotherapy response and Bacteroides levels [57]) or diet (for example, high-fiber diet [1]), measuring contribution of gut microbes to microbiome of built environments [58] as well as rapidly assessing the gut microbiome dysbiosis in patients with viral infections like COVID- Table 1 List of the 12 target taxa in the platform.…”
Section: Discussionmentioning
confidence: 99%
“…Co-occurrence patterns within and between microbial communities, however, have to-date been relatively sparsely studied ( Williams et al, 2014 ; Klimenko et al, 2020 ). In addition, the research on critical transitions in the gut microbiome is still in its early stages and primarily related to the gut microbiome within individuals ( Tytgat et al, 2019 ; Malard et al, 2020 ).…”
Section: A Wider Perspective: Co-occurrence Patterns In a Planetary Health Contextmentioning
confidence: 99%