Literature DB >> 33863892

Experimental parameters defining ultra-low biomass bioaerosol analysis.

Irvan Luhung1, Akira Uchida1, Serene B Y Lim1, Nicolas E Gaultier1, Carmon Kee1, Kenny J X Lau1, Elena S Gusareva1, Cassie E Heinle1, Anthony Wong1, Balakrishnan N V Premkrishnan1, Rikky W Purbojati1, Enzo Acerbi1, Hie Lim Kim1, Ana C M Junqueira1,2, Sharon Longford1, Sachin R Lohar1, Zhei Hwee Yap1, Deepa Panicker1, Yanqing Koh1, Kavita K Kushwaha1, Poh Nee Ang1, Alexander Putra1, Daniela I Drautz-Moses1, Stephan C Schuster3.   

Abstract

Investigation of the microbial ecology of terrestrial, aquatic and atmospheric ecosystems requires specific sampling and analytical technologies, owing to vastly different biomass densities typically encountered. In particular, the ultra-low biomass nature of air presents an inherent analytical challenge that is confounded by temporal fluctuations in community structure. Our ultra-low biomass pipeline advances the field of bioaerosol research by significantly reducing sampling times from days/weeks/months to minutes/hours, while maintaining the ability to perform species-level identification through direct metagenomic sequencing. The study further addresses all experimental factors contributing to analysis outcome, such as amassment, storage and extraction, as well as factors that impact on nucleic acid analysis. Quantity and quality of nucleic acid extracts from each optimisation step are evaluated using fluorometry, qPCR and sequencing. Both metagenomics and marker gene amplification-based (16S and ITS) sequencing are assessed with regard to their taxonomic resolution and inter-comparability. The pipeline is robust across a wide range of climatic settings, ranging from arctic to desert to tropical environments. Ultimately, the pipeline can be adapted to environmental settings, such as dust and surfaces, which also require ultra-low biomass analytics.

Entities:  

Year:  2021        PMID: 33863892     DOI: 10.1038/s41522-021-00209-4

Source DB:  PubMed          Journal:  NPJ Biofilms Microbiomes        ISSN: 2055-5008            Impact factor:   7.290


  29 in total

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Authors:  Alan M Jones; Roy M Harrison
Journal:  Sci Total Environ       Date:  2004-06-29       Impact factor: 7.963

2.  Particle-size distributions and seasonal diversity of allergenic and pathogenic fungi in outdoor air.

Authors:  Naomichi Yamamoto; Kyle Bibby; Jing Qian; Denina Hospodsky; Hamid Rismani-Yazdi; William W Nazaroff; Jordan Peccia
Journal:  ISME J       Date:  2012-04-05       Impact factor: 10.302

3.  Emission Factors of Microbial Volatile Organic Compounds from Environmental Bacteria and Fungi.

Authors:  Pawel K Misztal; Despoina S Lymperopoulou; Rachel I Adams; Russell A Scott; Steven E Lindow; Thomas Bruns; John W Taylor; Jessie Uehling; Gregory Bonito; Rytas Vilgalys; Allen H Goldstein
Journal:  Environ Sci Technol       Date:  2018-07-13       Impact factor: 9.028

4.  Collection of airborne micro-organisms on Nuclepore filters, estimation and analysis--CAMNEA method.

Authors:  U Palmgren; G Ström; G Blomquist; P Malmberg
Journal:  J Appl Bacteriol       Date:  1986-11

5.  Indoor fungal composition is geographically patterned and more diverse in temperate zones than in the tropics.

Authors:  Anthony S Amend; Keith A Seifert; Robert Samson; Thomas D Bruns
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

6.  Total Virus and Bacteria Concentrations in Indoor and Outdoor Air.

Authors:  Aaron J Prussin; Ellen B Garcia; Linsey C Marr
Journal:  Environ Sci Technol Lett       Date:  2015

7.  Indoor microbiome, environmental characteristics and asthma among junior high school students in Johor Bahru, Malaysia.

Authors:  Xi Fu; Dan Norbäck; Qianqian Yuan; Yanling Li; Xunhua Zhu; Jamal Hisham Hashim; Zailina Hashim; Faridah Ali; Yi-Wu Zheng; Xu-Xin Lai; Michael Dho Spangfort; Yiqun Deng; Yu Sun
Journal:  Environ Int       Date:  2020-03-19       Impact factor: 9.621

8.  Human occupancy as a source of indoor airborne bacteria.

Authors:  Denina Hospodsky; Jing Qian; William W Nazaroff; Naomichi Yamamoto; Kyle Bibby; Hamid Rismani-Yazdi; Jordan Peccia
Journal:  PLoS One       Date:  2012-04-18       Impact factor: 3.240

9.  Exploring temporal patterns of bacterial and fungal DNA accumulation on a ventilation system filter for a Singapore university library.

Authors:  Irvan Luhung; Yan Wu; Siyu Xu; Naomichi Yamamoto; Victor Wei-Chung Chang; William W Nazaroff
Journal:  PLoS One       Date:  2018-07-18       Impact factor: 3.240

10.  The airborne metagenome in an indoor urban environment.

Authors:  Susannah G Tringe; Tao Zhang; Xuguo Liu; Yiting Yu; Wah Heng Lee; Jennifer Yap; Fei Yao; Sim Tiow Suan; Seah Keng Ing; Matthew Haynes; Forest Rohwer; Chia Lin Wei; Patrick Tan; James Bristow; Edward M Rubin; Yijun Ruan
Journal:  PLoS One       Date:  2008-04-02       Impact factor: 3.240

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  3 in total

1.  Airborne SARS-CoV-2 surveillance in hospital environment using high-flowrate air samplers and its comparison to surface sampling.

Authors:  Alicia Xy Ang; Irvan Luhung; Bintou A Ahidjo; Daniela I Drautz-Moses; Paul A Tambyah; Chee Keng Mok; Kenny Jx Lau; Sai Meng Tham; Justin Jang Hann Chu; David M Allen; Stephan C Schuster
Journal:  Indoor Air       Date:  2021-09-14       Impact factor: 6.554

2.  Vertical stratification of the air microbiome in the lower troposphere.

Authors:  Daniela I Drautz-Moses; Irvan Luhung; Elena S Gusareva; Carmon Kee; Nicolas E Gaultier; Balakrishnan N V Premkrishnan; Choou Fook Lee; See Ting Leong; Changsook Park; Zhei Hwee Yap; Cassie E Heinle; Kenny J X Lau; Rikky W Purbojati; Serene B Y Lim; Yee Hui Lim; Shruti Ketan Kutmutia; Ngu War Aung; Elaine L Oliveira; Soo Guek Ng; Justine Dacanay; Poh Nee Ang; Samuel D Spence; Wen Jia Phung; Anthony Wong; Ryan J Kennedy; Namrata Kalsi; Santhi Puramadathil Sasi; Lakshmi Chandrasekaran; Akira Uchida; Ana Carolina M Junqueira; Hie Lim Kim; Rudolf Hankers; Thomas Feuerle; Ulrich Corsmeier; Stephan C Schuster
Journal:  Proc Natl Acad Sci U S A       Date:  2022-02-15       Impact factor: 11.205

3.  Airborne fungal and bacterial microbiome in classrooms of elementary schools during the COVID-19 pandemic period: Effects of school disinfection and other environmental factors.

Authors:  Jun I L Yang; Bong Gu Lee; Ju-Hyeong Park; Min-Kyeong Yeo
Journal:  Indoor Air       Date:  2022-09       Impact factor: 6.554

  3 in total

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