Singh Snigdha, Hiranmai R Y
School of Environment and Sustainable Development, Central University of Gujarat, Gandhinagar, Gujarat, 382030, India.
Heliyon. 2021 Oct 29;7(11):e08284. doi: 10.1016/j.heliyon.2021.e08284. eCollection 2021 Nov.
Heavy metal contamination is a universal concern due to health risks associated with metal pollution. Soil contamination by heavy metals is known to affect microbial activities at elevated concentrations adversely. However, indigenous soil bacterial populations' response to added heavy metal and metal combinations is poorly understood. Microbes prevailing in the soil are the driving factors. Their properties are recognized as sensitive indicators of soil quality and health. Moreover, these microscopic organisms are accountable for the fertility and aeration of the soil that forms fundamental aspects of soil function. The current study was performed to explore the diversity of bacterial species in heavy metal polluted roadside soil. The roadside soil samples were collected from diverse sites and processed for physicochemical properties, microbial characterization, and heavy metals distribution in the selected locations. Serial dilution and spread plate techniques were used for the isolation of bacterial species. The 16S-rRNA gene sequencing identified bacterial species in roadside soil as (MK217088), (MK774729), (MK192808), (MK217089), and (MK801278). In addition, the 16S rRNA sequences of isolated bacterial strains were aligned to generate a phylogenetic tree. Thus, the current research study provides a platform for efficiently investigating roadside soils by microbial profiling that may discover novel microbes of scientific significance and improved potential.
由于与金属污染相关的健康风险，重金属污染是一个普遍关注的问题。已知高浓度的重金属土壤污染会对微生物活动产生不利影响。然而，本土土壤细菌种群对添加的重金属和金属组合的反应却知之甚少。土壤中占主导地位的微生物是驱动因素。它们的特性被认为是土壤质量和健康的敏感指标。此外，这些微生物对土壤的肥力和通气性负责，而肥力和通气性是土壤功能的基本方面。本研究旨在探索重金属污染的路边土壤中细菌物种的多样性。从不同地点采集路边土壤样本，并对所选地点的理化性质、微生物特征和重金属分布进行分析。采用系列稀释和平板涂布技术分离细菌物种。通过16S - rRNA基因测序确定路边土壤中的细菌物种为（MK217088）、（MK774729）、（MK192808）、（MK217089）和（MK801278）。此外，将分离出的细菌菌株的16S rRNA序列进行比对以生成系统发育树。因此，当前的研究为通过微生物分析有效研究路边土壤提供了一个平台，这可能会发现具有科学意义和更高潜力的新型微生物。
