Cargando…

Aerobiological Monitoring and Metabarcoding of Grass Pollen

Grass pollen is one of the leading causes of pollinosis, affecting 10–30% of the world’s population. The allergenicity of pollen from different Poaceae species is not the same and is estimated from moderate to high. Aerobiological monitoring is a standard method that allows one to track and predict...

Descripción completa

Detalles Bibliográficos
Autores principales: Krinitsina, Anastasia A., Omelchenko, Denis O., Kasianov, Artem S., Karaseva, Vera S., Selezneva, Yulia M., Chesnokova, Olga V., Shirobokov, Vitaly A., Polevova, Svetlana V., Severova, Elena E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302275/
https://www.ncbi.nlm.nih.gov/pubmed/37375978
http://dx.doi.org/10.3390/plants12122351
_version_ 1785065009243488256
author Krinitsina, Anastasia A.
Omelchenko, Denis O.
Kasianov, Artem S.
Karaseva, Vera S.
Selezneva, Yulia M.
Chesnokova, Olga V.
Shirobokov, Vitaly A.
Polevova, Svetlana V.
Severova, Elena E.
author_facet Krinitsina, Anastasia A.
Omelchenko, Denis O.
Kasianov, Artem S.
Karaseva, Vera S.
Selezneva, Yulia M.
Chesnokova, Olga V.
Shirobokov, Vitaly A.
Polevova, Svetlana V.
Severova, Elena E.
author_sort Krinitsina, Anastasia A.
collection PubMed
description Grass pollen is one of the leading causes of pollinosis, affecting 10–30% of the world’s population. The allergenicity of pollen from different Poaceae species is not the same and is estimated from moderate to high. Aerobiological monitoring is a standard method that allows one to track and predict the dynamics of allergen concentration in the air. Poaceae is a stenopalynous family, and thus grass pollen can usually be identified only at the family level with optical microscopy. Molecular methods, in particular the DNA barcoding technique, can be used to conduct a more accurate analysis of aerobiological samples containing the DNA of various plant species. This study aimed to test the possibility of using the ITS1 and ITS2 nuclear loci for determining the presence of grass pollen from air samples via metabarcoding and to compare the analysis results with the results of phenological observations. Based on the high-throughput sequencing data, we analyzed the changes in the composition of aerobiological samples taken in the Moscow and Ryazan regions for three years during the period of active flowering of grasses. Ten genera of the Poaceae family were detected in airborne pollen samples. The representation for most of them for ITS1 and ITS2 barcodes was similar. At the same time, in some samples, the presence of specific genera was characterized by only one sequence: either ITS1 or ITS2. Based on the analysis of the abundance of both barcode reads in the samples, the following order could describe the change with time in the dominant species in the air: Poa, Alopecurus, and Arrhenatherum in early mid-June, Lolium, Bromus, Dactylis, and Briza in mid-late June, Phleum, Elymus in late June to early July, and Calamagrostis in early mid-July. In most samples, the number of taxa found via metabarcoding analysis was higher compared to that in the phenological observations. The semi-quantitative analysis of high-throughput sequencing data well reflects the abundance of only major grass species at the flowering stage.
format Online
Article
Text
id pubmed-10302275
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103022752023-06-29 Aerobiological Monitoring and Metabarcoding of Grass Pollen Krinitsina, Anastasia A. Omelchenko, Denis O. Kasianov, Artem S. Karaseva, Vera S. Selezneva, Yulia M. Chesnokova, Olga V. Shirobokov, Vitaly A. Polevova, Svetlana V. Severova, Elena E. Plants (Basel) Article Grass pollen is one of the leading causes of pollinosis, affecting 10–30% of the world’s population. The allergenicity of pollen from different Poaceae species is not the same and is estimated from moderate to high. Aerobiological monitoring is a standard method that allows one to track and predict the dynamics of allergen concentration in the air. Poaceae is a stenopalynous family, and thus grass pollen can usually be identified only at the family level with optical microscopy. Molecular methods, in particular the DNA barcoding technique, can be used to conduct a more accurate analysis of aerobiological samples containing the DNA of various plant species. This study aimed to test the possibility of using the ITS1 and ITS2 nuclear loci for determining the presence of grass pollen from air samples via metabarcoding and to compare the analysis results with the results of phenological observations. Based on the high-throughput sequencing data, we analyzed the changes in the composition of aerobiological samples taken in the Moscow and Ryazan regions for three years during the period of active flowering of grasses. Ten genera of the Poaceae family were detected in airborne pollen samples. The representation for most of them for ITS1 and ITS2 barcodes was similar. At the same time, in some samples, the presence of specific genera was characterized by only one sequence: either ITS1 or ITS2. Based on the analysis of the abundance of both barcode reads in the samples, the following order could describe the change with time in the dominant species in the air: Poa, Alopecurus, and Arrhenatherum in early mid-June, Lolium, Bromus, Dactylis, and Briza in mid-late June, Phleum, Elymus in late June to early July, and Calamagrostis in early mid-July. In most samples, the number of taxa found via metabarcoding analysis was higher compared to that in the phenological observations. The semi-quantitative analysis of high-throughput sequencing data well reflects the abundance of only major grass species at the flowering stage. MDPI 2023-06-17 /pmc/articles/PMC10302275/ /pubmed/37375978 http://dx.doi.org/10.3390/plants12122351 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Krinitsina, Anastasia A.
Omelchenko, Denis O.
Kasianov, Artem S.
Karaseva, Vera S.
Selezneva, Yulia M.
Chesnokova, Olga V.
Shirobokov, Vitaly A.
Polevova, Svetlana V.
Severova, Elena E.
Aerobiological Monitoring and Metabarcoding of Grass Pollen
title Aerobiological Monitoring and Metabarcoding of Grass Pollen
title_full Aerobiological Monitoring and Metabarcoding of Grass Pollen
title_fullStr Aerobiological Monitoring and Metabarcoding of Grass Pollen
title_full_unstemmed Aerobiological Monitoring and Metabarcoding of Grass Pollen
title_short Aerobiological Monitoring and Metabarcoding of Grass Pollen
title_sort aerobiological monitoring and metabarcoding of grass pollen
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302275/
https://www.ncbi.nlm.nih.gov/pubmed/37375978
http://dx.doi.org/10.3390/plants12122351
work_keys_str_mv AT krinitsinaanastasiaa aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT omelchenkodeniso aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT kasianovartems aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT karasevaveras aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT seleznevayuliam aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT chesnokovaolgav aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT shirobokovvitalya aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT polevovasvetlanav aerobiologicalmonitoringandmetabarcodingofgrasspollen
AT severovaelenae aerobiologicalmonitoringandmetabarcodingofgrasspollen