Mary Hanson, Geoff Petch, Thor-Bjørn Ottosen, Carsten Skjøth
{"title":"英格兰中部农村和城市的夏季花粉区系以荨麻、黑麦草和国家航空生物网络遗漏的其他花粉为主","authors":"Mary Hanson, Geoff Petch, Thor-Bjørn Ottosen, Carsten Skjøth","doi":"10.1007/s10453-022-09759-2","DOIUrl":null,"url":null,"abstract":"<div><p>Abundance and diversity of airborne pollen are important to human health and biodiversity. The UK operational network collects airborne pollen from 8 flowering trees, grasses and three weeds using Hirst traps and microscopic identification from urban areas. Knowledge of total pollen diversity and differences between rural and urban zones is limited. We collect environmental DNA (eDNA) from air during summer and autumn over 3 years with mini cyclones from one urban and one rural site. Data are analysed using next generation sequencing and metabarcoding. We find the most common genus, <i>Urtica</i> (57%), is also identified by the national network. The grasses <i>Lolium</i> (10%), <i>Agrostis</i> (2%) and <i>Holcus</i> (1%) are in the national network grouped at family level, while <i>Brassica</i> (2%), <i>Chenopodium</i> (1%), <i>Impatiens</i> (2%), <i>Plantago</i> (4%) and <i>Tilia</i> (7%) are not part of the UK operational network. DNA from 138 genera was identified, where 2% of the sample could not be associated with specific genera. 40% of the sample was classified better using eDNA methods at the genus level, than by optical methods. We calculate Bray–Curtis dissimilarity for the rural and urban zones and find a systematic difference in biodiversity. Overall, this shows airborne DNA reveals more information than methods based on morphological differences. The results also suggest data from sites located in large urban areas will be less representative for less populated rural areas. This presents a dilemma in balancing a network and the associated costs delivering health relevant information to the most populated areas vs. a nation-wide approach.</p></div>","PeriodicalId":7718,"journal":{"name":"Aerobiologia","volume":"38 4","pages":"591 - 596"},"PeriodicalIF":2.2000,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10453-022-09759-2.pdf","citationCount":"1","resultStr":"{\"title\":\"Summer pollen flora in rural and urban central England dominated by nettle, ryegrass and other pollen missed by the national aerobiological network\",\"authors\":\"Mary Hanson, Geoff Petch, Thor-Bjørn Ottosen, Carsten Skjøth\",\"doi\":\"10.1007/s10453-022-09759-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Abundance and diversity of airborne pollen are important to human health and biodiversity. The UK operational network collects airborne pollen from 8 flowering trees, grasses and three weeds using Hirst traps and microscopic identification from urban areas. Knowledge of total pollen diversity and differences between rural and urban zones is limited. We collect environmental DNA (eDNA) from air during summer and autumn over 3 years with mini cyclones from one urban and one rural site. Data are analysed using next generation sequencing and metabarcoding. We find the most common genus, <i>Urtica</i> (57%), is also identified by the national network. The grasses <i>Lolium</i> (10%), <i>Agrostis</i> (2%) and <i>Holcus</i> (1%) are in the national network grouped at family level, while <i>Brassica</i> (2%), <i>Chenopodium</i> (1%), <i>Impatiens</i> (2%), <i>Plantago</i> (4%) and <i>Tilia</i> (7%) are not part of the UK operational network. DNA from 138 genera was identified, where 2% of the sample could not be associated with specific genera. 40% of the sample was classified better using eDNA methods at the genus level, than by optical methods. We calculate Bray–Curtis dissimilarity for the rural and urban zones and find a systematic difference in biodiversity. Overall, this shows airborne DNA reveals more information than methods based on morphological differences. The results also suggest data from sites located in large urban areas will be less representative for less populated rural areas. This presents a dilemma in balancing a network and the associated costs delivering health relevant information to the most populated areas vs. a nation-wide approach.</p></div>\",\"PeriodicalId\":7718,\"journal\":{\"name\":\"Aerobiologia\",\"volume\":\"38 4\",\"pages\":\"591 - 596\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2022-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10453-022-09759-2.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aerobiologia\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10453-022-09759-2\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerobiologia","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s10453-022-09759-2","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
Summer pollen flora in rural and urban central England dominated by nettle, ryegrass and other pollen missed by the national aerobiological network
Abundance and diversity of airborne pollen are important to human health and biodiversity. The UK operational network collects airborne pollen from 8 flowering trees, grasses and three weeds using Hirst traps and microscopic identification from urban areas. Knowledge of total pollen diversity and differences between rural and urban zones is limited. We collect environmental DNA (eDNA) from air during summer and autumn over 3 years with mini cyclones from one urban and one rural site. Data are analysed using next generation sequencing and metabarcoding. We find the most common genus, Urtica (57%), is also identified by the national network. The grasses Lolium (10%), Agrostis (2%) and Holcus (1%) are in the national network grouped at family level, while Brassica (2%), Chenopodium (1%), Impatiens (2%), Plantago (4%) and Tilia (7%) are not part of the UK operational network. DNA from 138 genera was identified, where 2% of the sample could not be associated with specific genera. 40% of the sample was classified better using eDNA methods at the genus level, than by optical methods. We calculate Bray–Curtis dissimilarity for the rural and urban zones and find a systematic difference in biodiversity. Overall, this shows airborne DNA reveals more information than methods based on morphological differences. The results also suggest data from sites located in large urban areas will be less representative for less populated rural areas. This presents a dilemma in balancing a network and the associated costs delivering health relevant information to the most populated areas vs. a nation-wide approach.
期刊介绍:
Associated with the International Association for Aerobiology, Aerobiologia is an international medium for original research and review articles in the interdisciplinary fields of aerobiology and interaction of human, plant and animal systems on the biosphere. Coverage includes bioaerosols, transport mechanisms, biometeorology, climatology, air-sea interaction, land-surface/atmosphere interaction, biological pollution, biological input to global change, microbiology, aeromycology, aeropalynology, arthropod dispersal and environmental policy. Emphasis is placed on respiratory allergology, plant pathology, pest management, biological weathering and biodeterioration, indoor air quality, air-conditioning technology, industrial aerobiology and more.
Aerobiologia serves aerobiologists, and other professionals in medicine, public health, industrial and environmental hygiene, biological sciences, agriculture, atmospheric physics, botany, environmental science and cultural heritage.