微生物群落表明,新出现的污染物在污染水平上存在细微差异

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Luciana Griffero , Emiliano Pereira-Flores , Carolina Lescano , Lorena Rodríguez-Gallego , Andrés Pérez-Parada , Cecilia Alonso
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引用次数: 0

摘要

众所周知,水生微生物群落对环境变化的反应迅速,并且在生物群落中具有最高的分类和遗传多样性。然而,它们作为污染的生物指标仍然没有得到充分利用。本研究采用指标值分析(IndVal)方法对水生微生物群落进行分析,以确定流域尺度上新出现污染物造成的人为压力指标。为此,我们根据水生质量指数(AQI)定义了影响类别,该指数基于先前沿人为影响梯度确定的新出现污染物(ECs)。采用指标值分析(IndVal)鉴定扩增子序列变异(asv);类似于其他生态学领域的物种)与每一分类相关的。有可能找到空气质量指数定义的所有影响类别的ASV指标组合。微生物指标在预测每个AQI类别中样品的群体成员关系并正确分配样品到适当的类别方面表现出很高的能力,采用留一交叉验证(溪流和沿海海正确分配100%,泻湖正确分配94%)。这是基于微生物群落的新兴污染指标的第一份报告。这些结果重申了微生物群落快速调整其分类组成以响应环境变化的能力。因此,这些微观实体有望应用于环境管理措施,这里提出的近似有助于改进专门用于监测水生生态系统的工具,并有助于应用比目前实施的更严格的水质标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microbial communities indicate fine differences in pollution levels by emerging contaminants
Aquatic microbial communities are well known to rapidly respond to environmental changes, and to harbor the highest taxonomic and genetic diversity among biological communities. Nevertheless, they remain under-utilized as bioindicators of contamination. Here we applied indicator value analysis (IndVal) to aquatic microbial communities to identify indicators of anthropogenic pressure by emerging contaminants at basin scale. For that, we defined categories of impact according to the Aquatic Quality Index (AQI) based on previous determinations of emerging contaminants (ECs) along an anthropogenic impact gradient. Indicator value analysis (IndVal) was conducted to identify amplicon sequence variants (ASVs; analogous to species in other fields of ecology) associated with each category.
It was possible to find combinations of ASV indicators for all impact categories defined by the AQI. Microbial indicators exhibited a high capacity to predict the group membership of the samples within each AQI category and to correctly assign the samples to the appropriate category, employing leave-one-out cross-validation (100 % correctly assigned for streams and coastal sea and 94% for lagoons).
This is the first report of emerging contamination indicators based on microbial communities. These results reaffirm the capacity of microbial communities to rapidly adjust their taxonomic composition in response to environmental changes. Therefore, these microscopic entities are promising for the application of environmental management measures and the approximation presented here contributes to the advancement of tools dedicated to monitoring aquatic ecosystems, and the application of more stringent standards for water quality than what is currently implemented.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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