Department of Biotechnology, Science Campus, Alagappa University, Karaikudi 630 003, Tamil Nadu, India.
Department of Periodontology, College of Dentistry, University of Florida, Gainesville, FL, USA.
Ecotoxicol Environ Saf. 2021 Feb;209:111808. doi: 10.1016/j.ecoenv.2020.111808. Epub 2020 Dec 22.
One of the fundamental objectives in modern ecology is to decipher how bacterial communities in natural environment respond to anthropogenic activities. In recent times consequences of marine pollution, especially with heavy metals (HMs) have received increasing attention. However, insights into the response of bacterial communities to HMs in coastal sediments of India remain scarce. Here, we analyzed HMs content in three areas, along the southern coastal region of India. Based on the calculated pollution indices viz., enrichment factor (EF), contamination factor (CF), geo-accumulation index (Igeo) and sediment quality guidelines (SQGs), the studied areas were classified as uncontaminated, moderately contaminated and significantly contaminated. To explore the response of bacterial community to HMs, sediment-associated microbiota was investigated using high-throughput 16S rRNA gene amplicon sequencing. The obtained metataxonomic results revealed that bacterial diversity and community composition varied considerably in significantly contaminated area than moderately contaminated and uncontaminated areas. Proportion of bacterial classes was higher for Gammaproteobacteria, Betaproteobacteria and Actinobacteria, but lower for Alphaproteobacteria and Flavobacteriia in significantly contaminated area. Also, samples of significantly contaminated area were dominated by well-documented metal-resistant bacterial genera such as Ralstonia and Arthrobacter. Canonical correspondence analysis (CCA) showed that spatial variability of bacterial community composition was strongly correlated with HMs content such as Chromium, Cadmium and Nickel. Further analysis using PICRUSt programme indicated that the predictive functional profile also varied considerably in significantly contaminated area. By linking HMs with bacterial compositional variations, the present study highlights the likely influence of HMs in shaping sedimentary microbiota of coastal regions.
现代生态学的基本目标之一是破译自然环境中的细菌群落如何对人为活动做出响应。最近,海洋污染的后果,特别是重金属 (HM) 的污染,受到了越来越多的关注。然而,人们对印度沿海沉积物中细菌群落对 HM 的响应仍知之甚少。在这里,我们分析了印度南部沿海地区的三个区域的 HM 含量。根据计算出的污染指数,如富集因子 (EF)、污染因子 (CF)、地积累指数 (Igeo) 和沉积物质量准则 (SQGs),将研究区域分为未污染、中度污染和显著污染。为了探究细菌群落对 HM 的响应,我们使用高通量 16S rRNA 基因扩增子测序研究了与沉积物相关的微生物群。获得的分类学结果表明,与中度污染和未污染区域相比,显著污染区域的细菌多样性和群落组成差异很大。在显著污染区域中,细菌类群的比例较高的是γ变形菌纲、β变形菌纲和放线菌,而α变形菌纲和黄杆菌纲的比例较低。此外,显著污染区域的样本主要由有充分文献记载的耐金属细菌属,如罗尔斯通氏菌属和节杆菌属主导。典范对应分析 (CCA) 表明,细菌群落组成的空间变异性与 HM 含量(如铬、镉和镍)密切相关。使用 PICRUSt 程序的进一步分析表明,在显著污染区域中,预测的功能谱也有很大的差异。通过将 HM 与细菌组成变化联系起来,本研究强调了 HM 对沿海地区沉积物微生物群的可能影响。