1. Spatio-temporal variations in bacterial and fungal community associated with dust aerosol in Kuwait
- Author
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Sami Al Amad, Bashayer Al Doaij, Khalil Al Mataqi, Ebtisam Al Ali, Fadila Al Salameen, Vinod Kumar, Faiz Shirshikhar, Saif Uddin, and Nazima Habibi
- Subjects
0301 basic medicine ,Veterinary medicine ,010504 meteorology & atmospheric sciences ,01 natural sciences ,Geographical Locations ,Cluster Analysis ,Materials ,Data Management ,Principal Component Analysis ,Halomonas ,Multidisciplinary ,biology ,Brevundimonas ,Acidovorax ,Microbiota ,Eukaryota ,Discriminant Analysis ,Dust ,Genomics ,Biodiversity ,Alternaria ,Sphingopyxis ,Kuwait ,Medical Microbiology ,Physical Sciences ,Medicine ,Seasons ,Sample collection ,Research Article ,Microbial Taxonomy ,Cladosporium ,Computer and Information Sciences ,Asia ,Science ,Materials Science ,Mycology ,Microbial Genomics ,Microbiology ,03 medical and health sciences ,Spatio-Temporal Analysis ,Genetics ,Relative species abundance ,Taxonomy ,0105 earth and related environmental sciences ,Aerosols ,Bacteria ,Bacterial Taxonomy ,Organisms ,Fungi ,Biology and Life Sciences ,Bacteriology ,biology.organism_classification ,030104 developmental biology ,People and Places ,Fungal Classification ,Microbiome - Abstract
Kuwait is a country with a very high dust loading; in fact it bears the world’s highest particulate matter concentration in the outdoor air. The airborne dust often has associated biological materials, including pathogenic microbes that pose a serious risk to the urban ecosystem and public health. This study has established the baseline taxonomic characterization of microbes associated with dust transported into Kuwait from different trajectories. A high volume air sampler with six-stage cascade impactor was deployed for sample collection at a remote as well as an urban site. Samples from three different seasons (autumn, spring and summer) were subjected to targeted amplicon sequencing. A set of ~ 50 and 60 bacterial and fungal genera, respectively, established the core air microbiome. The predominant bacterial genera (relative abundance ≥ 1%) wereBrevundimonas(12.5%),Sphingobium(3.3%),Sphingopyxis(2.7%),Pseudomonas(2.5%),Sphingomonas(2.4%),Massilia(2.3%),Acidovorax(2.0%),Allorhizobium(1.8%),Halomonas(1.3%), andMesorhizobium(1.1%), and the fungal taxa wereCryptococcus(12%) followed byAlternaria(9%),Aspergillus(7%),Candida(3%),Cladosporium(2.9%),Schizophyllum(1.6%),Fusarium(1.4%),Gleotinia(1.3%) andPenicillium(1.15%). Significant spatio-temporal variations were recorded in terms of relative abundances, α-diversities, and β-diversities of bacterial communities. The dissimilarities were less pronounced and instead the communities were fairly homogenous. Linear discrimant analysis revealed three fungal genera known to be significantly differentially abundant with respect to different size fractions of dust. Our results shed light on the spatio-temporal distribution of airborne microbes and their implications in general health.
- Published
- 2020