Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK

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Standard

Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK. / Creer, Simon; Brennan, Georgina; Potter, Caitlin; Adams-Groom, Beverley; Barber, Adam; Clewlow, Yolanda; De Vere, Natasha; Griffith, Gareth; Hanlon, Helen; Hegarty, Matt; Kurganskiy, Alexander; McInnes, Rachel; Petch, Geoffrey; Osborne, Nicholas; Skjoth, Carsten; Wheeler, Ben; Rowney, Francis; Jones, Laura; Armitage, Charlotte.

In: Clinical and Experimental Allergy, Vol. 49, No. 12, 2019, p. 1650.

Research output: Contribution to journalConference abstract in journalResearchpeer-review

Harvard

Creer, S, Brennan, G, Potter, C, Adams-Groom, B, Barber, A, Clewlow, Y, De Vere, N, Griffith, G, Hanlon, H, Hegarty, M, Kurganskiy, A, McInnes, R, Petch, G, Osborne, N, Skjoth, C, Wheeler, B, Rowney, F, Jones, L & Armitage, C 2019, 'Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK', Clinical and Experimental Allergy, vol. 49, no. 12, pp. 1650. https://doi.org/10.1111/cea.13523

APA

Creer, S., Brennan, G., Potter, C., Adams-Groom, B., Barber, A., Clewlow, Y., De Vere, N., Griffith, G., Hanlon, H., Hegarty, M., Kurganskiy, A., McInnes, R., Petch, G., Osborne, N., Skjoth, C., Wheeler, B., Rowney, F., Jones, L., & Armitage, C. (2019). Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK. Clinical and Experimental Allergy, 49(12), 1650. https://doi.org/10.1111/cea.13523

Vancouver

Creer S, Brennan G, Potter C, Adams-Groom B, Barber A, Clewlow Y et al. Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK. Clinical and Experimental Allergy. 2019;49(12):1650. https://doi.org/10.1111/cea.13523

Author

Creer, Simon ; Brennan, Georgina ; Potter, Caitlin ; Adams-Groom, Beverley ; Barber, Adam ; Clewlow, Yolanda ; De Vere, Natasha ; Griffith, Gareth ; Hanlon, Helen ; Hegarty, Matt ; Kurganskiy, Alexander ; McInnes, Rachel ; Petch, Geoffrey ; Osborne, Nicholas ; Skjoth, Carsten ; Wheeler, Ben ; Rowney, Francis ; Jones, Laura ; Armitage, Charlotte. / Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK. In: Clinical and Experimental Allergy. 2019 ; Vol. 49, No. 12. pp. 1650.

Bibtex

@article{ae0f7cd771494807877f8ae3c43d79b0,
title = "Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK",
abstract = "Objectives: In Europe, 27% of the population are sensitised to grass pollen leading to extensive negative health outcomes (e.g. allergic rhinitis and allergic asthma). However, grass pollen from different species cannot be discriminated using traditional observational methods. Currently, there is no way of detecting, modelling or forecasting the aerial dispersion of taxon-specific pollen from the extensive biodiversity of UK grasses. Primary objectives here include:To develop a taxonomically resolved, grass pollen assessment framework throughout the UK.Establish if there are phenological or geographical trends exhibited in pollen deposition, or whether the summer pollen load is admixed?Method: We analysed aerial environmental DNA (eDNA) from up to 13 sites across the UK during the 2016–2017 grass flowering seasons. Two plant molecular taxonomy markers, ITS2 and rbcL, were used for eDNA “metabarcoding”, complemented by taxon-specific quantitative PCR to detect which species or genera of grass pollen are present in space and time during the summer months across the UK. Our aim was to quantify trends exhibited in pollen deposition of key known allergenic grasses, including Dactylis glomerata, Lolium perenne and Phleum pratense.Results: Metabarcoding demonstrated that the species composition of aerial grass pollen communities varies significantly both temporally and spatially across the grass flowering season. Quantitative PCR data also confirmed significant quantitative spatio-temporal variation in pollen deposition.Conclusions: The results confirm that pollen deposition throughout the grass flowering season is heterogeneous, showing quantitative differences in taxon composition throughout the summer months. The data demonstrate that seasonal exposure to different types of grass pollen is not static, but features shifting abundances of different species of pollen that can be linked to allergy. The empirical findings will be discussed in relation to coincidental health outcomes in addition to providing a broader perspective of the PollerGEN program, that integrates species vegetation mapping, advanced aerobiological modelling, environmental genomics, and human epidemiology.",
author = "Simon Creer and Georgina Brennan and Caitlin Potter and Beverley Adams-Groom and Adam Barber and Yolanda Clewlow and {De Vere}, Natasha and Gareth Griffith and Helen Hanlon and Matt Hegarty and Alexander Kurganskiy and Rachel McInnes and Geoffrey Petch and Nicholas Osborne and Carsten Skjoth and Ben Wheeler and Francis Rowney and Laura Jones and Charlotte Armitage",
year = "2019",
doi = "10.1111/cea.13523",
language = "English",
volume = "49",
pages = "1650",
journal = "Clinical Allergy",
issn = "0954-7894",
publisher = "Wiley-Blackwell",
number = "12",

}

RIS

TY - ABST

T1 - Understanding spatio-temporal variation in taxon-specific grass pollen exposure, using targeted molecular analysis of aerial environmental DNA in the UK

AU - Creer, Simon

AU - Brennan, Georgina

AU - Potter, Caitlin

AU - Adams-Groom, Beverley

AU - Barber, Adam

AU - Clewlow, Yolanda

AU - De Vere, Natasha

AU - Griffith, Gareth

AU - Hanlon, Helen

AU - Hegarty, Matt

AU - Kurganskiy, Alexander

AU - McInnes, Rachel

AU - Petch, Geoffrey

AU - Osborne, Nicholas

AU - Skjoth, Carsten

AU - Wheeler, Ben

AU - Rowney, Francis

AU - Jones, Laura

AU - Armitage, Charlotte

PY - 2019

Y1 - 2019

N2 - Objectives: In Europe, 27% of the population are sensitised to grass pollen leading to extensive negative health outcomes (e.g. allergic rhinitis and allergic asthma). However, grass pollen from different species cannot be discriminated using traditional observational methods. Currently, there is no way of detecting, modelling or forecasting the aerial dispersion of taxon-specific pollen from the extensive biodiversity of UK grasses. Primary objectives here include:To develop a taxonomically resolved, grass pollen assessment framework throughout the UK.Establish if there are phenological or geographical trends exhibited in pollen deposition, or whether the summer pollen load is admixed?Method: We analysed aerial environmental DNA (eDNA) from up to 13 sites across the UK during the 2016–2017 grass flowering seasons. Two plant molecular taxonomy markers, ITS2 and rbcL, were used for eDNA “metabarcoding”, complemented by taxon-specific quantitative PCR to detect which species or genera of grass pollen are present in space and time during the summer months across the UK. Our aim was to quantify trends exhibited in pollen deposition of key known allergenic grasses, including Dactylis glomerata, Lolium perenne and Phleum pratense.Results: Metabarcoding demonstrated that the species composition of aerial grass pollen communities varies significantly both temporally and spatially across the grass flowering season. Quantitative PCR data also confirmed significant quantitative spatio-temporal variation in pollen deposition.Conclusions: The results confirm that pollen deposition throughout the grass flowering season is heterogeneous, showing quantitative differences in taxon composition throughout the summer months. The data demonstrate that seasonal exposure to different types of grass pollen is not static, but features shifting abundances of different species of pollen that can be linked to allergy. The empirical findings will be discussed in relation to coincidental health outcomes in addition to providing a broader perspective of the PollerGEN program, that integrates species vegetation mapping, advanced aerobiological modelling, environmental genomics, and human epidemiology.

AB - Objectives: In Europe, 27% of the population are sensitised to grass pollen leading to extensive negative health outcomes (e.g. allergic rhinitis and allergic asthma). However, grass pollen from different species cannot be discriminated using traditional observational methods. Currently, there is no way of detecting, modelling or forecasting the aerial dispersion of taxon-specific pollen from the extensive biodiversity of UK grasses. Primary objectives here include:To develop a taxonomically resolved, grass pollen assessment framework throughout the UK.Establish if there are phenological or geographical trends exhibited in pollen deposition, or whether the summer pollen load is admixed?Method: We analysed aerial environmental DNA (eDNA) from up to 13 sites across the UK during the 2016–2017 grass flowering seasons. Two plant molecular taxonomy markers, ITS2 and rbcL, were used for eDNA “metabarcoding”, complemented by taxon-specific quantitative PCR to detect which species or genera of grass pollen are present in space and time during the summer months across the UK. Our aim was to quantify trends exhibited in pollen deposition of key known allergenic grasses, including Dactylis glomerata, Lolium perenne and Phleum pratense.Results: Metabarcoding demonstrated that the species composition of aerial grass pollen communities varies significantly both temporally and spatially across the grass flowering season. Quantitative PCR data also confirmed significant quantitative spatio-temporal variation in pollen deposition.Conclusions: The results confirm that pollen deposition throughout the grass flowering season is heterogeneous, showing quantitative differences in taxon composition throughout the summer months. The data demonstrate that seasonal exposure to different types of grass pollen is not static, but features shifting abundances of different species of pollen that can be linked to allergy. The empirical findings will be discussed in relation to coincidental health outcomes in addition to providing a broader perspective of the PollerGEN program, that integrates species vegetation mapping, advanced aerobiological modelling, environmental genomics, and human epidemiology.

U2 - 10.1111/cea.13523

DO - 10.1111/cea.13523

M3 - Conference abstract in journal

VL - 49

SP - 1650

JO - Clinical Allergy

JF - Clinical Allergy

SN - 0954-7894

IS - 12

ER -

ID: 290337036