Composition of nasal bacterial community and its seasonal variation in health care workers stationed in a clinical research laboratory

Abstract

The microorganisms at the workplace contribute towards a large portion of the biodiversity a person encounters in his or her life. Health care professionals are often at risk due to their frontline nature of work. Competition and cooperation between nasal bacterial communities of individuals working in a health care setting have been shown to mediate pathogenic microbes. Therefore, we investigated the nasal bacterial community of 47 healthy individuals working in a clinical research laboratory in Kuwait. The taxonomic profiling and core microbiome analysis identified three pre-dominant genera as Corynebacterium (15.0%), Staphylococcus (10.3%) and, Moraxella (10.0%). All the bacterial genera exhibited seasonal variations in summer, winter, autumn and spring. SparCC correlation network analysis revealed positive and negative correlations among the classified genera. A rich set of 16 genera (q < 0.05) were significantly differentially abundant (LEfSe) across the four seasons. The highest species counts, richness and evenness (P < 0.005) were recorded in autumn. Community structure profiling indicated that the entire bacterial population followed a seasonal distribution (R2-0.371; P < 0.001). Other demographic factors such as age, gender and, ethnicity contributed minimally towards community clustering in a closed indoor laboratory setting. Intra-personal diversity also witnessed rich species variety (maximum 6.8 folds). Seasonal changes in the indoor working place in conjunction with the outdoor atmosphere seems to be important for the variations in the nasal bacterial communities of professionals working in a health care setting.

Characterization of Bacterial Differences Induced by Cleft-Palate-Related Spatial Heterogeneity

“…Serratia is usually detected in the environment [ 40 ], as well as in the oral cavity [ 41 ] and skin [ 42 ] of some specific people, but is mentioned in only two examples from the literature related to the nasal microbiome [ 43 , 44 ]. As for the source of Serratia, we proposed the following possibilities: (1) the high abundance of Serratia is one of the nasal microbiome characteristics in our subjects, because the composition of the nasal microbiome is affected by many factors, including age of subjects, region, climate, and individual differences [ 39 , 45 , 46 , 47 ]; (2) the sequencing platform we used was the Roche Genome Sequencer FLX + platform with 1% error rate [ 48 ]. We cannot rule out that this phenomenon may be caused by sequencing errors.…”

Antibiotic Resistance Genes Associated with Marine Surface Sediments: A Baseline from the Shores of Kuwait

“…Amplified libraries were purified through Agencourt AMPure XP magnetic beads (Beckman Coulter Genomics, Brea, CA, USA) and quantified through qPCR [39]. The average library size was determined using an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA) [40]. Sequencing was performed on the Illumina NovaSeq 6000 platform using 2 × 150 bp paired-end read chemistry.…”

“…The majority were resistant to the beta-lactams, cephalosporins (102), and penam (102). In addition, ARGs resistant to tetracycline (93), aminoglycoside (63), fluoroquinolone (55), carbapenem (48), lincosamide (40), cephamycin (35), phenicol (34), streptogramin (34), peptide antibiotics (29), and monobactum (28) were also recorded (Figure 6). A total of 25 or fewer ARGs were resistant to the drug classes of the glycopeptide, aminocoumarin, diaminopyrimidine, penem, rifamycin, glycylcycline, acridine dye, triclosan, pleuromutilin, sulfonamide, fos-fomycin, nucleoside antibiotic, oxazolidinone, fusidic acid, mupirocin, sulfone, elfamycin, nitroimidazole, antibacterial free fatty acid antibiotics, and nitrofuran.…”

Dataset of 16S rRNA and alkB genes in hydrocarbon polluted soils of Kuwait as revealed by Pyrosequencing

“…PCR was run for 21 cycles of denaturation at 94°C (1 min), annealing 45°C (1 min), and extension 72°C (2 min). PCR amplification was visualized on an Agilent 2100 Bioanalyzer [4] . The PCR amplicons were tagged with unique MID sequences and pooled for clonal amplification by emulsion-based PCR and then sequenced using Pyrosequencing Titanium chemistry on a Roche GS FLX platform.…”