Biological Trace Information Extracted from Bioaerosols Using NGS Analysis

Authors

  • Panyapon Pumkaeo Gifu University
  • Wenhao Lu Gifu University
  • Youki Endou Gifu University
  • Tomofumi Mizuno Gifu University
  • Junko Takahashi National Institute of Advanced Industrial Science and Technology
  • Hitoshi Iwahashi Gifu University

DOI:

https://doi.org/10.14393/BJ-v37n0a2021-53678

Keywords:

Biological trace information, Bioaerosol, Next Generation Sequencing

Abstract

Bioaerosols are atmospheric particles with a biological trace, such as viruses, bacteria, fungi, and plant material such as pollen and plant debris. In this study, we analyzed the biological information in bioaerosols using next generation sequencing of the trace DNA. The samples were collected using an Andersen air sampler and separated into two groups according to particulate matter (PM) size: small (PM2.5) and large (PM10). Amplification and sequencing of the bacterial 16S rDNA gene, prokaryotic internal transcribed spacer 1 (ITS1) region and DNA sequence of a plant chloroplast gene (rbcL) were carried out using several sets of specific primers targeting animal and plant sequences. Lots of bacterial information was detected from the bioaerosols. The most abundant bacteria in several samples were of the Actinobacteria (class), Alphaproteobacteria, Bacilli, and Clostridia. For the animal detection using internal transcribed spacer 1, only uncultured fungi were detected in more than half of the hits, with a high number of Cladosporium sp. in the samples. For the plant identification, the ITS1 information only matched fungal species. However, targeting of the rbcL region revealed diverse plant information, such as Medicago papillosa. In conclusion, traces of bacteria, fungi, and plants could be detected in the bioaerosols, but not of animals using our primers.

Downloads

Download data is not yet available.

References

ANDERSON, J.O., THUNDIYIL, J.G. and STOLBACH, A. Clearing the air: a review of the effects of particulate matter air pollution on human health. Journal of Medical Toxicology. 2012, 8(2), 166-175. https://doi.org/10.1007/s13181-011-0203-1

BARBERÁN, A., et al. Continental-scale distributions of dust-associated bacteria and fungi. Proceedings of the National Academy of Sciences. 2015, 112(18), 5756-5761. https://doi.org/10.1073/pnas.1420815112

BOWERS, R.M., MCLETCHIE, S., KNIGHT, R. and FIERER, N. Spatial variability in airborne bacterial communities across land-use types and their relationship to the bacterial communities of potential source environments. The ISME Journal. 2011, 5(4), 601-612. https://doi.org/10.1038/ismej.2010.167

BROWN, J.K. and HOVMØLLER, M.S. Aerial dispersal of pathogens on the global and continental scales and its impact on plant disease. Science. 2002, 297(5581), 537-541. https://doi.org/10.1126/science.1072678

CHASE, M.W. and FAY, M.F. Barcoding of plants and fungi. Science. 2009, 325(5941), 682-683. https://www.science.org/doi/10.1126/science.1176906

DOUWES, J., THORNE, P., PEARCE, N. and HEEDERIK, D. Bioaerosol health effects and exposure assessment: progress and prospects. The Annals of occupational hygiene. 2003, 47(3), 187-200. https://doi.org/10.1093/annhyg/meg032

FICETOLA, G.F., et al. An in-silico approach for the evaluation of DNA barcodes. BMC Genomics. 2010, 11(1), 434. https://doi.org/10.1186/1471-2164-11-434

FRÖHLICH-NOWOISKY, J., et al. Biogeography in the air: fungal diversity over land and oceans. Biogeosciences. 2012, 9(3), 1125. https://doi.org/10.5194/bg-9-1125-2012

FRÖHLICH-NOWOISKY, J., PICKERSGILL, D.A., DESPRÉS, V.R. and PÖSCHL, U. High diversity of fungi in air particulate matter. Proceedings of the National Academy of Sciences. 2009, 106(31), 12814-12819. https://doi.org/10.1073/pnas.0811003106

GARDES, M. and BRUNS, T.D. ITS primers with enhanced specificity for basidiomycetes application to the identification of mycorrhizae and rusts. Molecular Ecology. 1993, 2(2), 113-118. https://doi.org/10.1111/j.1365-294X.1993.tb00005.x

HEBERT, P.D., CYWINSKA, A., BALL, S.L. and DEWAARD, J.R. Biological identifications through DNA barcodes. Proceedings of the Royal Society of London. Series B: Biological Sciences. 2003, 270(1512), 313-321. https://doi.org/10.1098/rspb.2002.2218

HINDS, W.C. Aerosol technology: properties, behavior, and measurement of airborne particles. 2nd ed. California: John Wiley & Sons, 1999. Available from: https://books.google.co.th/books?hl=en&lr=&id=4fJqDwAAQBAJ&oi=fnd&pg=PR11&dq=.+Aerosol+technology:+properties,+behavior,+and+measurement+of+airborne+particles&ots=4Z8ervnY3F&sig=Mybvdm0lhhLPW6tbtF_aDBhtjbo&redir_esc=y#v=onepage&q=.%20Aerosol%20technology%3A%20properties%2C%20behavior%2C%20and%20measurement%20of%20airborne%20particles&f=false

HOGG, J.C. and LEHANE, M.J. Identification of bacterial species associated with the sheep scab mite (Psoroptes ovis) by using amplified genes coding for 16S rRNA. Applied and Environmental Microbiology. 1999, 65(9), 4227-4229. https://doi.org/10.1128/AEM.65.9.4227-4229.1999

HUSSIN, N.H.M., SANN, L.M., SHAMSUDIN, M.N. and HASHIM, Z. Characterization of bacteria and fungi bioaerosol in the indoor air of selected primary schools in Malaysia. Indoor and Built Environment. 2011, 20(6), 607-617. https://doi.org/10.1177/1420326X11414318

KALOGERAKIS, N., et al. Indoor air quality-bioaerosol measurements in domestic and office premises. Journal of Aerosol Science. 2005, 36(5-6), 751-761. https://doi.org/10.1016/j.jaerosci.2005.02.004

KRESS, W.J. and ERICKSON, D.L. A two-locus global DNA barcode for land plants: the coding rbcL gene complements the non-coding trnH-psbA spacer region. PLoS One. 2007, 2(6). https://doi.org/10.1371/journal.pone.0000508

LI, D.-Z., et al. Comparative analysis of a large dataset indicates that internal transcribed spacer (ITS) should be incorporated into the core barcode for seed plants. Proceedings of the National Academy of Sciences. 2011, 108(49), 19641. https://doi.org/10.1073/pnas.1104551108

LUO, A., et al. Potential efficacy of mitochondrial genes for animal DNA barcoding: a case study using eutherian mammals. BMC genomics. 2011, 12(1), 84. https://doi.org/10.1186/1471-2164-12-84

MAKI, T., et al. Variations in airborne bacterial communities at high altitudes over the Noto Peninsula (Japan) in response to Asian dust events. Atmospheric Chemistry & Physics, 2017, 17(19). https://doi.org/10.5194/acp-17-11877-2017

NIJMAN, V. and ALIABADIAN, M. Performance of distance-based DNA barcoding in the molecular identification of Primates. Comptes rendus biologies. 2010, 333(1), 11-16. https://doi.org/10.1016/j.crvi.2009.10.003

SALVI, D. and MARIOTTINI, P. Molecular phylogenetics in 2D: ITS2 rRNA evolution and sequence-structure barcode from Veneridae to Bivalvia. Molecular phylogenetics and evolution. 2012, 65(2), 792-798. https://doi.org/10.1016/j.ympev.2012.07.017

SAMSET, B.H. Aerosols and climate: Oxford Research Encyclopedia of Climate Science. Oxford: Oxford University Press, 2016. https://doi.org/10.1093/acrefore/9780190228620.013.13

SMITH, M.A., et al. DNA barcodes affirm that 16 species of apparently generalist tropical parasitoid flies (Diptera, Tachinidae) are not all generalists. Proceedings of the National Academy of Sciences. 2007, 104(12), 4967. https://doi.org/10.1073/pnas.0700050104

SOLTIS, P.S., SOLTIS, D.E. and SMILEY, C.J. An rbcL sequence from a Miocene Taxodium (bald cypress). Proceedings of the National Academy of Sciences. 1992, 89(1), 449-451. https://doi.org/10.1073/pnas.89.1.449

SRIVASTAVA, A., SINGH, M. and JAIN, V.K. Identification and characterization of size-segregated bioaerosols at Jawaharlal Nehru University, New Delhi. Natural hazards. 2012, 60(2), 485-499. https://doi.org/10.1007/s11069-011-0022-3

STERN, R.F., et al. Evaluating the ribosomal internal transcribed spacer (ITS) as a candidate dinoflagellate barcode marker. PLoS One. 2012, 7(8), e42780. https://doi.org/10.1371/journal.pone.0042780

TORSVIK, V., GOKSØYR, J. and DAAE, F.L. High diversity in DNA of soil bacteria. Applied and Environmental Microbiology Journal. 1990, 56(3), 782-787. https://doi.org/10.1128/aem.56.3.782-787.1990

TURNER, S., PRYER, K.M., MIAO, V.P. and PALMER, J.D. Investigating deep phylogenetic relationships among cyanobacteria and plastids by small subunit rRNA sequence analysis. Journal of Eukaryotic Microbiology. 1999, 46(4), 327-338. https://doi.org/10.1111/j.1550-7408.1999.tb04612.x

VENCES, M., et al. Comparative performance of the 16S rRNA gene in DNA barcoding of amphibians. Frontiers in Zoology. 2005, 2(1), 5. https://doi.org/10.1186/1742-9994-2-5

WHITE, T.J., BRUNS, T., LEE, S. and TAYLOR, J., 1990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In: INNIS, M.A., GELFAND, D.H., SNINSKY, J.J. and WHITE, T.J. (Eds.). PCR protocols: a guide to methods and applications. New York: Academic Press, Inc. pp. 315-322. Available from: https://msafungi.org/wp-content/uploads/2019/03/February-2013-Inoculum.pdf

WOMACK, A., et al. Characterization of active and total fungal communities in the atmosphere over the Amazon rainforest. Biogeosciences. 2015, 12(21), 6337-6349. https://doi.org/10.5194/bg-12-6337-2015

Downloads

Published

2021-12-29

How to Cite

PUMKAEO, P., LU, W., ENDOU, Y.., MIZUNO, T., TAKAHASHI, J. and IWAHASHI, H., 2021. Biological Trace Information Extracted from Bioaerosols Using NGS Analysis. Bioscience Journal [online], vol. 37, pp. e37090. [Accessed21 November 2024]. DOI 10.14393/BJ-v37n0a2021-53678. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/53678.

Issue

Section

Biological Sciences