Literature DB >> 30962560

Temperate airborne grass pollen defined by spatio-temporal shifts in community composition.

Georgina L Brennan1, Caitlin Potter2, Natasha de Vere2,3, Gareth W Griffith2, Carsten A Skjøth4, Nicholas J Osborne5,6,7, Benedict W Wheeler5, Rachel N McInnes8, Yolanda Clewlow8, Adam Barber8, Helen M Hanlon8, Matthew Hegarty2, Laura Jones9,3, Alexander Kurganskiy4, Francis M Rowney5, Charlotte Armitage10, Beverley Adams-Groom4, Col R Ford3, Geoff M Petch4, Simon Creer11.   

Abstract

Grass pollen is the world's most harmful outdoor aeroallergen. However, it is unknown how airborne pollen assemblages change across time and space. Human sensitivity varies between different species of grass that flower at different times, but it is not known whether temporal turnover in species composition match terrestrial flowering or whether species richness steadily accumulates over the grass pollen season. Here, using targeted, high-throughput sequencing, we demonstrate that all grass genera displayed discrete, temporally restricted peaks of incidence, which varied with latitude and longitude throughout Great Britain, revealing that the taxonomic composition of grass pollen exposure changes substantially across the grass pollen season.

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Year:  2019        PMID: 30962560     DOI: 10.1038/s41559-019-0849-7

Source DB:  PubMed          Journal:  Nat Ecol Evol        ISSN: 2397-334X            Impact factor:   15.460


  12 in total

1.  Urban-scale variation in pollen concentrations: A single station is insufficient to characterize daily exposure.

Authors:  Daniel S W Katz; Stuart A Batterman
Journal:  Aerobiologia (Bologna)       Date:  2020-04-20       Impact factor: 2.410

2.  DNA metabarcoding identifies urban foraging patterns of oligolectic and polylectic cavity-nesting bees.

Authors:  Kristen Fernandes; Kit Prendergast; Philip W Bateman; Benjamin J Saunders; Mark Gibberd; Michael Bunce; Paul Nevill
Journal:  Oecologia       Date:  2022-09-13       Impact factor: 3.298

3.  Aerobiological monitoring in a desert type ecosystem: Two sampling stations of two cities (2017-2020) in Qatar.

Authors:  Maryam Ali Al-Nesf; Dorra Gharbi; Hassan M Mobayed; Ramzy Mohammed Ali; Amjad Tuffaha; Blessing Reena Dason; Mehdi Adeli; Hisham A Sattar; Maria Del Mar Trigo
Journal:  PLoS One       Date:  2022-07-13       Impact factor: 3.752

4.  Mixture Analyses of Air-sampled Pollen Extracts Can Accurately Differentiate Pollen Taxa.

Authors:  Leszek J Klimczak; Cordula Ebner von Eschenbach; Peter M Thompson; Jeroen T M Buters; Geoffrey A Mueller
Journal:  Atmos Environ (1994)       Date:  2020-07-06       Impact factor: 4.798

5.  Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe.

Authors:  Alexander Kurganskiy; Simon Creer; Natasha de Vere; Gareth W Griffith; Nicholas J Osborne; Benedict W Wheeler; Rachel N McInnes; Yolanda Clewlow; Adam Barber; Georgina L Brennan; Helen M Hanlon; Matthew Hegarty; Caitlin Potter; Francis Rowney; Beverley Adams-Groom; Geoff M Petch; Catherine H Pashley; Jack Satchwell; Letty A de Weger; Karen Rasmussen; Gilles Oliver; Charlotte Sindt; Nicolas Bruffaerts; Carsten A Skjøth
Journal:  Sci Adv       Date:  2021-03-26       Impact factor: 14.136

6.  Personalized Pollen Monitoring and Symptom Scores: A Feasibility Study in Grass Pollen Allergic Patients.

Authors:  Letty A de Weger; Peter Th W van Hal; Bernadette Bos; Frank Molster; Marijke Mostert; Pieter S Hiemstra
Journal:  Front Allergy       Date:  2021-04-08

Review 7.  Environmental DNA analysis as an emerging non-destructive method for plant biodiversity monitoring: a review.

Authors:  Pritam Banerjee; Kathryn A Stewart; Gobinda Dey; Caterina M Antognazza; Raju Kumar Sharma; Jyoti Prakash Maity; Santanu Saha; Hideyuki Doi; Natasha de Vere; Michael W Y Chan; Pin-Yun Lin; Hung-Chun Chao; Chien-Yen Chen
Journal:  AoB Plants       Date:  2022-07-02       Impact factor: 3.138

8.  Establishing the twig method for investigations on pollen characteristics of allergenic tree species.

Authors:  Stephan Jung; Feng Zhao; Annette Menzel
Journal:  Int J Biometeorol       Date:  2021-05-27       Impact factor: 3.787

9.  DNA metabarcoding using nrITS2 provides highly qualitative and quantitative results for airborne pollen monitoring.

Authors:  Marcel Polling; Melati Sin; Letty A de Weger; Arjen G C L Speksnijder; Mieke J F Koenders; Hugo de Boer; Barbara Gravendeel
Journal:  Sci Total Environ       Date:  2021-09-21       Impact factor: 7.963

10.  Plant biodiversity assessment through pollen DNA metabarcoding in Natura 2000 habitats (Italian Alps).

Authors:  Kleopatra Leontidou; Despoina Vokou; Anna Sandionigi; Antonia Bruno; Maria Lazarina; Johannes De Groeve; Mingai Li; Claudio Varotto; Matteo Girardi; Maurizio Casiraghi; Antonella Cristofori
Journal:  Sci Rep       Date:  2021-09-14       Impact factor: 4.379

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