Baselga-Cervera Beatriz, Romero-López Julia, García-Balboa Camino, Costas Eduardo, López-Rodas Victoria
Department of Animal Production (Genetics), School of Veterinary Medicine, Universidad Complutense de Madrid, Madrid, Spain.
Front Microbiol. 2018 Mar 21;9:523. doi: 10.3389/fmicb.2018.00523. eCollection 2018.
The extraction and processing of uranium (U) have polluted large areas worldwide, rendering anthropogenic extreme environments inhospitable to most species. Noticeably, these sites are of great interest for taxonomical and applied bioprospection of extremotolerant species successfully adapted to U tailings contamination. As an example, in this work we have studied a microalgae species that inhabits extreme U tailings ponds at the Saelices mining site (Salamanca, Spain), characterized as acidic (pH between 3 and 4), radioactive (around 4 μSv h) and contaminated with metals, mainly U (from 25 to 48 mg L) and zinc (from 17 to 87 mg L). After isolation of the extremotolerant ChlSP strain, morphological characterization and internal transcribed spacer (ITS)-5.8S gene sequences placed it in the , but BLAST analyses identity values, against the nucleotide datasets at the NCBI database, were very low (<92%). We subjected the ChlSP strain to an artificial selection protocol to increase the U uptake and investigated its response to selection. The ancestral strain ChlSP showed a U-uptake capacity of ≈4.30 mg U g of dry biomass (DB). However, the artificially selected strain ChlSG was able to take up a total of ≈6.34 mg U g DB, close to the theoretical maximum response (≈7.9 mg U g DB). The selected ChlSG strain showed two possible U-uptake mechanisms: the greatest proportion by biosorption onto cell walls (ca. 90%), and only a very small quantity, ~0.46 mg g DB, irreversibly bound by bioaccumulation. Additionally, the kinetics of the U-uptake process were characterized during a microalgae growth curve; ChlSG cells removed close to 4 mg L of U in 24 days. These findings open up promising prospects for sustainable management of U tailings waters based on newly evolved extremotolerants and outline the potential of artificial selection in the improvement of desired features in microalgae by experimental adaptation and selection.
铀(U)的开采和加工已在全球范围内污染了大片地区,使人为形成的极端环境不适于大多数物种生存。值得注意的是,这些场所对于成功适应铀尾矿污染的耐极端物种的分类学和应用生物勘探具有重要意义。例如,在本研究中,我们对一种栖息于西班牙萨拉曼卡省塞利塞斯矿场极端铀尾矿池中的微藻物种进行了研究,该尾矿池的特征为酸性(pH值在3至4之间)、具有放射性(约4μSv/h)且被金属污染,主要是铀(25至48mg/L)和锌(17至87mg/L)。分离出耐极端的ChlSP菌株后,通过形态学特征和内部转录间隔区(ITS)-5.8S基因序列分析将其归类,但与NCBI数据库中的核苷酸数据集进行BLAST分析时,其相似度值非常低(<92%)。我们对ChlSP菌株实施了人工选择方案以提高其铀吸收能力,并研究了其对选择的响应。原始菌株ChlSP的铀吸收能力约为4.30mg铀/克干生物量(DB)。然而,人工选择的菌株ChlSG能够吸收总计约6.34mg铀/克DB,接近理论最大响应值(约7.9mg铀/克DB)。所选的ChlSG菌株显示出两种可能的铀吸收机制:最大比例是通过生物吸附到细胞壁上(约90%),只有非常少量,约0.46mg/克DB,通过生物积累不可逆地结合。此外,在微藻生长曲线期间对铀吸收过程的动力学进行了表征;ChlSG细胞在24天内去除了接近4mg/L的铀。这些发现为基于新进化的耐极端生物对铀尾矿水进行可持续管理开辟了广阔前景,并概述了通过实验适应和选择进行人工选择在改善微藻所需特性方面的潜力。