Yin Yi, Lin Yu-Ting, Hu Gong-Ren, Yu Rui-Lian, Sun Xiao-Hui, Yan Yu
Department of Environmental Science and Engineering, College of Chemical Engineering, Huaqiao University, Xiamen, China.
Department of Bioengineering and Biotechnology, College of Chemical Engineering, Huaqiao University, Xiamen, China.
Front Microbiol. 2025 Jul 30;16:1607082. doi: 10.3389/fmicb.2025.1607082. eCollection 2025.
Microorganisms, which are ubiquitous in the environment, have evolved a diverse array of arsenic biotransformation genes (ABGs). Dust harbors a wide range of microorganisms. However, the distinct characteristics of bacterial community structures and ABG profiles in dust, compared with those in other environments such as soil and water, remain poorly understood.
In this study, dust samples were simultaneously collected alongside surrounding soil and seawater samples in Xiamen, a coastal city of China, to investigate the distinct profiles and potential sources of bacterial communities and ABGs in dust using 16S rRNA gene amplicon sequencing and metagenomic sequencing.
Abundant and diverse bacterial communities and ABGs were detected in dust, revealing significant differences in community structures and ABG profiles compared with those in soil and seawater. Soil was identified as the primary source for both bacterial communities and ABGs in dust through fast expectation-maximization microbial source tracking (FEAST). Acetobacteraceae, which showed significantly greater relative abundance ( < 0.001) in dust than in soil and seawater, was also identified as a keystone taxon in the dust bacterial co-occurrence network. Furthermore, metagenome-assembled genomes (MAGs) affiliated with Acetobacteraceae were effectively recovered from dust via metagenomic binning, and these MAGs harbored an array of ABGs, indicating that Acetobacteraceae could be important hosts for ABGs in dust. Overall, our findings offer new insights into bacterial communities and ABGs in dust, thereby improving our understanding of arsenic biogeochemical cycling.
微生物在环境中无处不在,它们进化出了各种各样的砷生物转化基因(ABGs)。灰尘中含有各种各样的微生物。然而,与土壤和水等其他环境相比,灰尘中细菌群落结构和ABG谱的独特特征仍知之甚少。
在本研究中,在中国沿海城市厦门同时采集了灰尘样本以及周围的土壤和海水样本,以利用16S rRNA基因扩增子测序和宏基因组测序来研究灰尘中细菌群落和ABGs的独特谱及潜在来源。
在灰尘中检测到了丰富多样的细菌群落和ABGs,这表明与土壤和海水中的群落结构和ABG谱相比存在显著差异。通过快速期望最大化微生物源追踪(FEAST),土壤被确定为灰尘中细菌群落和ABGs的主要来源。醋酸杆菌科在灰尘中的相对丰度(<0.001)显著高于土壤和海水,它也被确定为灰尘细菌共现网络中的关键分类群。此外,通过宏基因组分箱从灰尘中有效地回收了与醋酸杆菌科相关的宏基因组组装基因组(MAGs),这些MAGs含有一系列ABGs,表明醋酸杆菌科可能是灰尘中ABGs的重要宿主。总体而言,我们的研究结果为灰尘中的细菌群落和ABGs提供了新的见解,从而增进了我们对砷生物地球化学循环的理解。