Airborne bacteria structure and chemical composition relationships in winter and spring PM10 samples over southeastern Italy

Romano, Salvatore; Becagli, Silvia; Lucarelli, F.; Rispoli, Gennaro; Perrone, Maria Rita

doi:10.1016/j.scitotenv.2020.138899

Cited by 33 publications

(17 citation statements)

References 64 publications

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“…Many studies have confirmed the influence of atmospheric dust-associated trace elements on the airborne prokaryotic community (Yan et al, 2018;Zhai et al, 2018;Romano et al, 2020). However, there was no clear correlation between APC structure and the trace elements contained in the onshore and offshore atmosphere over the Red Sea as shown in the PCA biplots.…”

Section: Discussionmentioning

confidence: 99%

Aeolian Prokaryotic Communities of the Global Dust Belt Over the Red Sea

et al. 2020

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Aeolian prokaryotic communities (APC) are important components of bioaerosols that are transported freely or attached to dust particles suspended in the atmosphere. Terrestrial and marine ecosystems are known to release and receive significant prokaryote loads into and from the surrounded atmospheric air. However, compared to terrestrial systems, there is a lack of microbial characterization of atmospheric dust over marine systems, such as the Red Sea, which receives significant terrestrial dust loads and is centrally located within the Global Dust Belt. Prokaryotic communities are likely to be particularly important in the Global Dust Belt, the area between the west coast of North Africa and Central Asia that supports the highest dust fluxes on the planet. Here we characterize the diversity and richness of the APC over the Red Sea ecosystem, the only sea fully contained within the Global Dust Belt. MiSeq sequencing was used to target 16S ribosomal DNA of two hundred and forty aeolian dust samples. These samples were collected at ∼7.5 m high above the sea level at coastal and offshore sampling sites over a 2-year period (2015–2017). The sequencing outcomes revealed that the APC in the atmospheric dust is dominated by Proteobacteria (42.69%), Firmicutes (41.11%), Actinobacteria, (7.69%), and Bacteroidetes (3.49%). The dust-associated prokaryotes were transported from different geographical sources and found to be more diverse than prokaryotic communities of the Red Sea surface water. Marine and soil originated prokaryotes were detected in APC. Hence, depending on the season, these groups may have traveled from other distant sources during storm events in the Red Sea region, where the APC structure is influenced by the origin and the concentration of aeolian dust particles. Accordingly, further studies of the impact of atmospheric organic aerosols on the recipient environments are required.

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Section: Discussionmentioning

confidence: 99%

Aeolian Prokaryotic Communities of the Global Dust Belt Over the Red Sea

et al. 2020

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“…Moreover, the physiographic characteristics of the Mediterranean Basin and the prevailing climate conditions are responsible for the development of atmospheric flow patterns, leading to a climate profile roughly characterized by both cold and warm periods [11]. Previous studies have proven that the main PM chemical components [12][13][14] and bacterial phyla and genera [15,16] vary from the cold to warm season at the study site. Romano et al [15] reported preliminary data on the presumptive presence of potential (opportunistic) human pathogenic bacteria in the PM10 samples of this study.…”

Section: Introductionmentioning

confidence: 93%

“…Romano et al [15,16] provided a comprehensive description of the procedure used for the recovery of bacteria and debris from the PTFE PM10 samples. The DNeasy PowerSoil Kit (Qiagen) was used to carry out DNA extraction.…”

Section: Dna Extraction and 16srrna Gene High-throughput Sequencingmentioning

confidence: 99%

Potential Human and Plant Pathogenic Species in Airborne PM10 Samples and Relationships with Chemical Components and Meteorological Parameters

et al. 2021

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A preliminary local database of potential (opportunistic) airborne human and plant pathogenic and non-pathogenic species detected in PM10 samples collected in winter and spring is provided, in addition to their seasonal dependence and relationships with meteorological parameters and PM10 chemical species. The PM10 samples, collected at a Central Mediterranean coastal site, were analyzed by the 16S rRNA gene metabarcoding approach, and Spearman correlation coefficients and redundancy discriminant analysis tri-plots were used to investigate the main relationships. The screening of 1187 detected species allowed for the detection of 76 and 27 potential (opportunistic) human and plant pathogens, respectively. The bacterial structure of both pathogenic and non-pathogenic species varied from winter to spring and, consequently, the inter-species relationships among potential human pathogens, plant pathogens, and non-pathogenic species varied from winter to spring. Few non-pathogenic species and even fewer potential human pathogens were significantly correlated with meteorological parameters, according to the Spearman correlation coefficients. Conversely, several potential plant pathogens were strongly and positively correlated with temperature and wind speed and direction both in winter and in spring. The number of strong relationships between presumptive (human and plant) pathogens and non-pathogens, and meteorological parameters slightly increased from winter to spring. The sample chemical composition also varied from winter to spring. Some potential human and plant pathogens were correlated with chemicals mainly associated with marine aerosol and/or with soil dust, likely because terrestrial and aquatic environments were the main habitats of the detected bacterial species. The carrier role on the species seasonal variability was also investigated.

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“…Additionally, the types and quantity of microorganisms vary with seasons, places, weather and urban economic level (Fang et al, 2020;Rao et al, 2020;Tignat-Perrier et al, 2020). Airborne microorganisms not only exist in the air and stay in the air for a long time, but also migrate with the airflow and other meteorological conditions.…”

Section: Accepted M M a N U mentioning

confidence: 99%

Bibliometric Analysis on Global Research Trends of Airborne Microorganisms in Recent Ten Years (2011-2020)

Jia

Chen

Yan

et al. 2021

Aerosol Air Qual. Res.

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Bioaerosols are airborne particles of biological origin. In recent years, exposure to bioaerosols has caused significant public health concerns. This study aimed to provide a bibliometric analysis on global research trends of airborne microorganisms in recent ten years (2011-2020). Base on the web of Science (WoS) database, a total of 1087 papers in recent ten years are selected for analysis. Firstly, by analyzing the co-citation, 11 clusters were obtained, including potential pan microbiome, bioaerosol Science, beneficial microbe, urban area, Fungal microbiota, wastewater treatment plant, airborne microbial aerosol, modern practice, composting facilities-a review, airborne microbial biodiversity, and acidic electrolyzed water. Secondly, through the co-occurrence analysis of the keywords in the literature, it was proposed that particle-attached microorganisms, the community structure of urban air microbes, and biological aerosols are the research hotspots in recent years. This suggested that bioaerosol is a hotspot and current trend in the field of airborne microbiology, and the most studied airborne microorganisms are bacteria. In addition, we have also studied COVID-19 in particular, and found that the attention of COVID-19 has continued to rise in the past eight months, and the number of articles on the topic of COVID-19 has reached more than 19880 in the past eight months. Among them, 106 were highly cited. The co-occurrence analysis of COVID-19 was carried out with 500 articles published recently. Besides COVID-19, pandemics and coronavirus, the co-occurrence frequency of anxiety, depression and stress was high. Moreover, according to the number of published papers in this field,

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Airborne bacteria structure and chemical composition relationships in winter and spring PM10 samples over southeastern Italy

Cited by 33 publications

References 64 publications

Aeolian Prokaryotic Communities of the Global Dust Belt Over the Red Sea

Aeolian Prokaryotic Communities of the Global Dust Belt Over the Red Sea

Potential Human and Plant Pathogenic Species in Airborne PM10 Samples and Relationships with Chemical Components and Meteorological Parameters

Bibliometric Analysis on Global Research Trends of Airborne Microorganisms in Recent Ten Years (2011-2020)

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