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Environmental DNA reveals links between abundance and composition of airborne grass pollen and respiratory health

  • Francis M. Rowney
  • , Georgina L. Brennan
  • , Carsten A. Skjoth
  • , Gareth W. Griffith
  • , Rachel N. McInnes
  • , Yolanda Clewlow
  • , Beverley Adams-Groom
  • , Adam Barber
  • , Natasha De Vere
  • , Theodoros Economou
  • , Matthew Hegarty
  • , Helen M. Hanlon
  • , Laura Jones
  • , Alexander Kurganskiy
  • , Geoff M. Petch
  • , Caitlin Potter
  • , Abdullah Munawar Rafiq
  • , Amena Warner
  • , The PollerGEN Consortium
  • , Benedict W. Wheeler
  • Nicholas J. Osborne, Simon Creer
  • Lund University
  • University of Worcester
  • Aberystwyth University
  • National Botanic Garden of Wales
  • Allergy UK
  • University of Queensland
  • College of Life and Environmental Sciences, University of Exeter, Penryn Campus, Penryn, 9 TR10 9EZ, UK.
  • Met Office
  • Exeter University

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

91 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

Grass (Poaceae) pollen is the most important outdoor aeroallergen,1exacerbating a range of respiratory conditions, including allergic asthma and rhinitis (‘‘hay fever’’).2–5Understanding the relationships between respiratory diseases and airborne grass pollen with a view to improving forecasting has broad public health and socioeconomic relevance. It is estimated that there are over 400 million people with allergic rhinitis6and over300 million with asthma, globally,7often comorbidly.8In the UK, allergic asthma has an annual cost of around US$ 2.8 billion (2017).9The relative contributions of the >11,000 (worldwide) grass species (C. Osborne et al.,2011, Botany Conference, abstract) to respiratory health have been unresolved,10as grass pollen cannot be readily discriminated using standard microscopy.11Instead, here we used novel environmental DNA (eDNA)sampling and qPCR12–15to measure the relative abundances of airborne pollen from common grass species during two grass pollen seasons (2016 and 2017) across the UK. We quantitatively demonstrate discrete spatiotemporal patterns in airborne grass pollen assemblages. Using a series of generalized additive models(GAMs), we explore the relationship between the incidences of airborne pollen and severe asthma exacerbations (sub-weekly) and prescribing rates of drugs for respiratory allergies (monthly). Our results indicate that a subset of grass species may have disproportionate influence on these population-scale respiratory health responses during peak grass pollen concentrations. The work demonstrates the need for sensitive and detailed biomonitoring of harmful aeroallergens in order to investigate and mitigate their impacts on human health.
Iaith wreiddiolSaesneg
Tudalennau (o-i)1995-2003
Nifer y tudalennau9
CyfnodolynCurrent Biology
Cyfrol31
Rhif cyhoeddi9
Dyddiad ar-lein cynnar11 Maw 2021
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 10 Mai 2021

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