Literature DB >> 28115135

Molecular approaches for the detection and monitoring of microbial communities in bioaerosols: A review.

Keunje Yoo1, Tae Kwon Lee2, Eun Joo Choi3, Jihoon Yang4, Sudheer Kumar Shukla5, Sang-Il Hwang4, Joonhong Park6.   

Abstract

Bioaerosols significantly affect atmospheric processes while they undergo long-range vertical and horizontal transport and influence atmospheric chemistry and physics and climate change. Accumulating evidence suggests that exposure to bioaerosols may cause adverse health effects, including severe disease. Studies of bioaerosols have primarily focused on their chemical composition and largely neglected their biological composition and the negative effects of biological composition on ecosystems and human health. Here, current molecular methods for the identification, quantification, and distribution of bioaerosol agents are reviewed. Modern developments in environmental microbiology technology would be favorable in elucidation of microbial temporal and spatial distribution in the atmosphere at high resolution. In addition, these provide additional supports for growing evidence that microbial diversity or composition in the bioaerosol is an indispensable environmental aspect linking with public health.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Airborne microbial community; Bioaerosol; Metagenomics; Molecular methods

Mesh:

Substances:

Year:  2016        PMID: 28115135     DOI: 10.1016/j.jes.2016.07.002

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  14 in total

1.  Airborne Transmission of Influenza Virus in a Hospital of Qinhuangdao During 2017-2018 Flu Season.

Authors:  Xin Zhao; Weizhong Nie; Chunya Zhou; Ming Cheng; Chun Wang; Yongjie Liu; Jinke Li; Yunkai Qian; Xuezheng Ma; Liping Zhang; Lili Li; Kongxin Hu
Journal:  Food Environ Virol       Date:  2019-09-23       Impact factor: 2.778

2.  Aerosol and environmental surface monitoring for SARS-CoV-2 RNA in a designated hospital for severe COVID-19 patients.

Authors:  Y H Li; Y Z Fan; L Jiang; H B Wang
Journal:  Epidemiol Infect       Date:  2020-07-14       Impact factor: 2.451

3.  Optimization of a Portable Adenosine Triphosphate Bioluminescence Assay Coupled with a Receiver Operating Characteristic Model to Assess Bioaerosol Concentrations on Site.

Authors:  Chun-Chieh Tseng; Yi-Chian Lu; Kai-Chih Chang; Chien-Che Hung
Journal:  Microorganisms       Date:  2020-06-29

Review 4.  Chemical and Biological Components of Urban Aerosols in Africa: Current Status and Knowledge Gaps.

Authors:  Egide Kalisa; Stephen Archer; Edward Nagato; Elias Bizuru; Kevin Lee; Ning Tang; Stephen Pointing; Kazuichi Hayakawa; Donnabella Lacap-Bugler
Journal:  Int J Environ Res Public Health       Date:  2019-03-15       Impact factor: 3.390

5.  Monitoring of Air Microbial Contaminations in Different Bioenergy Facilities Using Cultural and Biomolecular Methods.

Authors:  Elisa Anedda; Giulia Carletto; Giorgio Gilli; Deborah Traversi
Journal:  Int J Environ Res Public Health       Date:  2019-07-17       Impact factor: 3.390

6.  How Has the Hazard to Humans of Microorganisms Found in Atmospheric Aerosol in the South of Western Siberia Changed over 10 Years?

Authors:  Alexandr Safatov; Irina Andreeva; Galina Buryak; Olesia Ohlopkova; Sergei Olkin; Larisa Puchkova; Irina Reznikova; Nadezda Solovyanova; Boris Belan; Mikhail Panchenko; Denis Simonenkov
Journal:  Int J Environ Res Public Health       Date:  2020-03-03       Impact factor: 3.390

7.  Bioaerosol biomonitoring: Sampling optimization for molecular microbial ecology.

Authors:  Robert M W Ferguson; Sonia Garcia-Alcega; Frederic Coulon; Alex J Dumbrell; Corinne Whitby; Ian Colbeck
Journal:  Mol Ecol Resour       Date:  2019-05       Impact factor: 7.090

8.  In Silico Study Suggesting the Bias of Primers Choice in the Molecular Identification of Fungal Aerosols.

Authors:  Hamza Mbareche; Marc Veillette; Guillaume J Bilodeau
Journal:  J Fungi (Basel)       Date:  2021-01-30

9.  Classification and Regression Tree Approach for Prediction of Potential Hazards of Urban Airborne Bacteria during Asian Dust Events.

Authors:  Keunje Yoo; Hyunji Yoo; Jae Min Lee; Sudheer Kumar Shukla; Joonhong Park
Journal:  Sci Rep       Date:  2018-08-07       Impact factor: 4.379

10.  An Investigation of Airborne Bioaerosols and Endotoxins Present in Indoor Traditional Wet Markets before and after Operation in Taiwan: A Case Study.

Authors:  Da-Jiun Wei; Wen-Te Liu; Huin-Tsung Chin; Ching-Hsing Lin; I-Chun Chen; Yi-Tang Chang
Journal:  Int J Environ Res Public Health       Date:  2021-03-13       Impact factor: 3.390

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