Adhikari Mahesh, Kim Sang Woo, Kim Hyun Seung, Kim Ki Young, Park Hyo Bin, Kim Ki Jung, Lee Youn Su
Division of Biological Resource Sciences, Interdisciplinary Program in Smart Agriculture, Kangwon National University, Chuncheon 24341, Korea.
Plant Pathol J. 2021 Dec;37(6):521-532. doi: 10.5423/PPJ.OA.07.2021.0106. Epub 2021 Dec 1.
Knowledge and better understanding of functions of the microbial community are pivotal for crop management. This study was conducted to study bacterial structures including Acidovorax species community structures and diversity from the watermelon cultivated soils in different regions of South Korea. In this study, soil samples were collected from watermelon cultivation areas from various places of South Korea and microbiome analysis was performed to analyze bacterial communities including Acidovorax species community. Next generation sequencing (NGS) was performed by extracting genomic DNA from 92 soil samples from 8 different provinces using a fast genomic DNA extraction kit. NGS data analysis results revealed that, total, 39,367 operational taxonomic unit (OTU), were obtained. NGS data results revealed that, most dominant phylum in all the soil samples was Proteobacteria (37.3%). In addition, most abundant genus was Acidobacterium (1.8%) in all the samples. In order to analyze species diversity among the collected soil samples, OTUs, community diversity, and Shannon index were measured. Shannon (9.297) and inverse Simpson (0.996) were found to have the highest diversity scores in the greenhouse soil sample of Gyeonggi-do province (GG4). Results from NGS sequencing suggest that, most of the soil samples consists of similar trend of bacterial community and diversity. Environmental factors play a key role in shaping the bacterial community and diversity. In order to address this statement, further correlation analysis between soil physical and chemical parameters with dominant bacterial community will be carried out to observe their interactions.
了解和更好地认识微生物群落的功能对作物管理至关重要。本研究旨在研究韩国不同地区西瓜种植土壤中的细菌结构,包括嗜酸菌属群落结构和多样性。在本研究中,从韩国各地的西瓜种植区采集土壤样本,并进行微生物组分析以分析包括嗜酸菌属群落在内的细菌群落。使用快速基因组DNA提取试剂盒从韩国8个不同省份的92个土壤样本中提取基因组DNA,进行下一代测序(NGS)。NGS数据分析结果显示,总共获得了39367个可操作分类单元(OTU)。NGS数据结果显示,所有土壤样本中最主要的门是变形菌门(37.3%)。此外,所有样本中最丰富的属是酸杆菌属(1.8%)。为了分析所采集土壤样本中的物种多样性,测量了OTU、群落多样性和香农指数。发现京畿道温室土壤样本(GG4)的香农指数(9.297)和反辛普森指数(0.996)具有最高的多样性得分。NGS测序结果表明,大多数土壤样本的细菌群落和多样性趋势相似。环境因素在塑造细菌群落和多样性方面起着关键作用。为了验证这一说法,将对土壤理化参数与优势细菌群落进行进一步的相关性分析,以观察它们之间的相互作用。