King Kevin M, Canning Gail G M, West Jonathan S
Rothamsted Research, Harpenden AL5 2JQ, UK.
Pathogens. 2024 Apr 17;13(4):330. doi: 10.3390/pathogens13040330.
To date, there have been no DNA-based metabarcoding studies into airborne fungi in tropical Sub-Saharan Africa. In this initial study, 10 air samples were collected onto Vaseline-coated acrylic rods mounted on drones flown at heights of 15-50 meters above ground for 10-15 min at three sites in Ghana. Purified DNA was extracted from air samples, the internal transcribed spacer (ITS) region was amplified using fungal-specific primers, and MinION third-generation amplicon sequencing was undertaken with downstream bioinformatics analyses utilizing GAIA cloud-based software (at genus taxonomic level). Principal coordinate analyses based on Bray-Curtis beta diversity dissimilarity values found no clear evidence for the structuring of fungal air communities, nor were there significant differences in alpha diversity, based on geographic location (east vs. central Ghana), underlying vegetation type (cocoa vs. non-cocoa), or height above ground level (15-23 m vs. 25-50 m), and despite the short flight times (10-15 min), ~90 operational taxonomic units (OTUs) were identified in each sample. In Ghanaian air, fungal assemblages were skewed at the phylum taxonomic level towards the ascomycetes (53.7%) as opposed to basidiomycetes (24.6%); at the class level, the Dothideomycetes were predominant (29.8%) followed by the Agaricomycetes (21.8%). The most common fungal genus in Ghanaian air was cosmopolitan and globally ubiquitous (9.9% of reads). Interestingly, many fungal genera containing economically important phytopathogens of tropical crops were also identified in Ghanaian air, including , , and Consequently, a novel loop-mediated isothermal amplification (LAMP) assay, based on -1α sequences, was developed and tested for rapid, sensitive, and specific detection of the fungal phytopathogenic genus . Potential applications for improved tropical disease management are considered.
迄今为止,尚未有针对撒哈拉以南非洲热带地区空气中真菌的基于DNA的宏条形码研究。在这项初步研究中,在加纳的三个地点,将10个空气样本采集到安装在无人机上的涂有凡士林的丙烯酸棒上,无人机在离地面15 - 50米的高度飞行10 - 15分钟。从空气样本中提取纯化的DNA,使用真菌特异性引物扩增内部转录间隔区(ITS)区域,并利用基于GAIA云的软件进行下游生物信息学分析,进行MinION第三代扩增子测序(在属分类水平)。基于Bray - Curtisβ多样性差异值的主坐标分析未发现真菌空气群落结构的明确证据,基于地理位置(加纳东部与中部)、潜在植被类型(可可与非可可)或地面以上高度(15 - 23米与25 - 50米),α多样性也没有显著差异,尽管飞行时间较短(10 - 15分钟),但每个样本中仍鉴定出约90个可操作分类单元(OTU)。在加纳的空气中,真菌组合在门分类水平上偏向子囊菌门(53.7%),而不是担子菌门(24.6%);在纲水平上,座囊菌纲占主导地位(29.8%),其次是伞菌纲(21.8%)。加纳空气中最常见的真菌属是世界性且全球普遍存在的(占读数的9.9%)。有趣的是,在加纳的空气中还鉴定出许多含有热带作物重要经济植物病原体的真菌属,包括 、 和 。因此,开发并测试了一种基于 -1α序列的新型环介导等温扩增(LAMP)检测方法,用于快速、灵敏和特异性检测真菌植物病原属 。还考虑了其在改善热带疾病管理方面的潜在应用。