Kim Heejung, Park Yong-Ha, Yang Jae E, Kim Hyuck-Soo, Kim Sung-Chul, Oh Eun-Ji, Moon Jinah, Cho Wonsil, Shin Wonsik, Yu Chaerim
Department of Geology, College of Natural Sciences, Kangwon National University, Chuncheon 24341, Korea.
Korea Environment Institute, Sejong 30147, Korea.
Toxics. 2022 Mar 1;10(3):117. doi: 10.3390/toxics10030117.
The discovery of biomarkers for assessing soil health requires the exploration of organisms that can explain the core functions of soil and identification of species with major roles in these functions. However, identifying specific keystone markers within the soil microbiota is challenging. Next-generation sequencing (NGS)-based molecular-biological methods have revealed information on soil biodiversity; however, whether this biodiversity is related to soil health remains unclear. In this study, we performed NGS on grassland surface soil to compare the prokaryotic and eukaryotic genetic diversity to determine the chemical soil quality and examined markers associated with soil health. Microorganisms associated with the nitrogen cycle, bioremediation, plant pathogenicity, antibiotic production, and material degradation showed potential for use as markers. To propose a framework for soil health assessment, we not only used traditional indicators, such as chemical and physical measures, but also assessed metagenomics data of soil by land use to identify the major factors influencing the microbial structure in soil. Moreover, major keystone species were identified. Furthermore, the microbial genetic diversity of generally healthy surface soil, such as forests, farmland, and parks, was determined. These findings provide basic data for exploring soil health-related biomarkers.
发现用于评估土壤健康的生物标志物需要探索能够解释土壤核心功能的生物,并识别在这些功能中起主要作用的物种。然而,在土壤微生物群中识别特定的关键标志物具有挑战性。基于下一代测序(NGS)的分子生物学方法揭示了土壤生物多样性的信息;然而,这种生物多样性是否与土壤健康相关仍不清楚。在本研究中,我们对草地表层土壤进行了NGS,以比较原核生物和真核生物的遗传多样性,确定土壤化学质量,并检查与土壤健康相关的标志物。与氮循环、生物修复、植物致病性、抗生素生产和物质降解相关的微生物显示出用作标志物的潜力。为了提出土壤健康评估框架,我们不仅使用了传统指标,如化学和物理测量,还通过土地利用评估了土壤宏基因组数据,以确定影响土壤微生物结构的主要因素。此外,还识别出了主要的关键物种。此外,还确定了一般健康的表层土壤(如森林、农田和公园)的微生物遗传多样性。这些发现为探索与土壤健康相关的生物标志物提供了基础数据。