Summer pollen flora in rural and urban central England dominated by nettle, ryegrass and other pollen missed by the national aerobiological network

IF 2.2 3区 环境科学与生态学 Q2 BIOLOGY
Mary Hanson, Geoff Petch, Thor-Bjørn Ottosen, Carsten Skjøth
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引用次数: 1

Abstract

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.

Abstract Image

Abstract Image

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
空气中花粉的丰富性和多样性对人类健康和生物多样性具有重要意义。英国运营网络使用赫斯特陷阱和城市地区的显微镜识别技术,从8棵开花的树木、草和3棵杂草中收集空气中的花粉。对花粉总多样性和城乡差异的了解有限。我们在3年多的夏季和秋季,通过一个城市和一个农村地区的小型气旋,从空气中收集环境DNA(eDNA)。使用下一代测序和代谢条形码对数据进行分析。我们发现最常见的属,荨麻属(57%),也被国家网络识别。Lolium(10%)、Agrostis(2%)和Holcus(1%)属于国家家庭级网络,而Brassica(2%)、Chenopodium(1%)、凤仙花(2%),Plantago(4%)和Tilia(7%)不属于英国运营网络。鉴定了138个属的DNA,其中2%的样本与特定属没有关联。40%的样本在属水平上使用eDNA方法比光学方法分类更好。我们计算了农村和城市地区的布雷-柯蒂斯差异,并发现了生物多样性的系统差异。总的来说,这表明空气中的DNA比基于形态学差异的方法揭示了更多的信息。研究结果还表明,来自大城市地区的数据对人口较少的农村地区的代表性较小。与全国范围的方法相比,这在平衡网络和向人口最多地区提供健康相关信息的相关成本方面带来了困境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Aerobiologia
Aerobiologia 环境科学-环境科学
CiteScore
4.50
自引率
15.00%
发文量
37
审稿时长
18-36 weeks
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.
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