Literature DB >> 18595713

PCR to predict risk of airborne disease.

Jon S West1, Simon D Atkins, Jean Emberlin, Bruce D L Fitt.   

Abstract

Plant, animal and human diseases spread by microscopic airborne particles have had major economic and social impacts during history. Special air-sampling devices have been used to collect such particles since the 19th century but it has often been impossible to identify them accurately. Exciting new opportunities to combine air sampling with quantitative PCR to identify and count these particles are reviewed, using crop pathogen examples. These methods can be used to predict the risk of unexpected outbreaks of airborne diseases by identifying increases in pathogen inoculum or genetic changes in pathogen populations that render control ineffective. The predictions can provide guidance to policymakers, health professionals or the agricultural industry for the development of strategies to minimise the risk of severe pandemics.

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Year:  2008        PMID: 18595713     DOI: 10.1016/j.tim.2008.05.004

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  18 in total

1.  Metagenomic characterization of airborne viral DNA diversity in the near-surface atmosphere.

Authors:  Tae Woong Whon; Min-Soo Kim; Seong Woon Roh; Na-Ri Shin; Hae-Won Lee; Jin-Woo Bae
Journal:  J Virol       Date:  2012-05-23       Impact factor: 5.103

2.  Modification of a Pollen Trap Design To Capture Airborne Conidia of Entomophaga maimaiga and Detection of Conidia by Quantitative PCR.

Authors:  Tonya D Bittner; Ann E Hajek; Andrew M Liebhold; Harold Thistle
Journal:  Appl Environ Microbiol       Date:  2017-08-17       Impact factor: 4.792

3.  Assessment of Passive Traps Combined with High-Throughput Sequencing To Study Airborne Fungal Communities.

Authors:  Jaime Aguayo; Céline Fourrier-Jeandel; Claude Husson; Renaud Ioos
Journal:  Appl Environ Microbiol       Date:  2018-05-17       Impact factor: 4.792

4.  Molecular Detection of Airborne Mycobacterium tuberculosis in South African High Schools.

Authors:  Erick W Bunyasi; Keren Middelkoop; Anastasia Koch; Zeenat Hoosen; Humphrey Mulenga; Angelique K K Luabeya; Justin Shenje; Simon C Mendelsohn; Michele Tameris; Thomas J Scriba; Digby F Warner; Robin Wood; Jason R Andrews; Mark Hatherill
Journal:  Am J Respir Crit Care Med       Date:  2022-02-01       Impact factor: 21.405

5.  Mushroom Emergence Detected by Combining Spore Trapping with Molecular Techniques.

Authors:  Carles Castaño; Jonàs Oliva; Juan Martínez de Aragón; Josu G Alday; Javier Parladé; Joan Pera; José Antonio Bonet
Journal:  Appl Environ Microbiol       Date:  2017-06-16       Impact factor: 4.792

6.  Increased robustness of single-molecule counting with microfluidics, digital isothermal amplification, and a mobile phone versus real-time kinetic measurements.

Authors:  David A Selck; Mikhail A Karymov; Bing Sun; Rustem F Ismagilov
Journal:  Anal Chem       Date:  2013-11-07       Impact factor: 6.986

7.  Rapid detection of Ceratocystis platani inoculum by quantitative real-time PCR assay.

Authors:  Nicola Luchi; Luisa Ghelardini; Lassaâd Belbahri; Marion Quartier; Alberto Santini
Journal:  Appl Environ Microbiol       Date:  2013-06-28       Impact factor: 4.792

8.  Prioritizing risks and uncertainties from intentional release of selected Category A pathogens.

Authors:  Tao Hong; Patrick L Gurian; Yin Huang; Charles N Haas
Journal:  PLoS One       Date:  2012-03-06       Impact factor: 3.240

9.  Coupling Spore Traps and Quantitative PCR Assays for Detection of the Downy Mildew Pathogens of Spinach (Peronospora effusa) and Beet (P. schachtii).

Authors:  Steven J Klosterman; Amy Anchieta; Neil McRoberts; Steven T Koike; Krishna V Subbarao; Hermann Voglmayr; Young-Joon Choi; Marco Thines; Frank N Martin
Journal:  Phytopathology       Date:  2014-12       Impact factor: 4.025

10.  Assessing Performance of Spore Samplers in Monitoring Aeromycobiota and Fungal Plant Pathogen Diversity in Canada.

Authors:  Wen Chen; Sarah Hambleton; Keith A Seifert; Odile Carisse; Moussa S Diarra; Rick D Peters; Christine Lowe; Julie T Chapados; C André Lévesque
Journal:  Appl Environ Microbiol       Date:  2018-04-16       Impact factor: 4.792

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