Using transcriptomic profiles in the diatom Phaeodactylum tricornutum to identify and prioritize stressors
Using transcriptomic profiles in the diatom Phaeodactylum tricornutum to identify and prioritize stressors
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DOI：
10.1016/j.aquatox.2013.04.002
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发表时间：
2013-08-15
影响因子：
4.5
通讯作者：
Hook, Sharon E.
中科院分区：
文献类型：
--
作者：
Osborn, Hannah L.;Hook, Sharon E.
海洋硅藻 Tricomutum 的转录组图谱暴露于几种生态相关的应激源，用于开发类似毒性识别评估 (TIE) 的基因表达测定。通过流式细胞术测量藻类生长抑制，以确定引起亚致死毒性反应的暴露浓度。 P. tricomutum 暴露于一定浓度的铜 (2 μ g L-1)、镉 (5 μ g L-1)、银 (20 μ g L-1)、西玛津 (75 μ g L-1)、风化原油的水适应部分 (WAF) (5 mg L-1)、50 μg L-1 氨、降低盐度处理 (15%.) 以及氨、降低盐度和镉（10μgL-1）。通过微阵列对基因表达的分析表明，每个单独的处理都会产生独特的转录组信号。氨和混合物处理的转录组谱基本上重叠。与光合作用相关的转录本在西玛津（除草剂）处理中发生了改变。一种参与降解碳氢化合物的转录物双加氧酶在暴露于原油后丰度增加。总体而言，不同处理中的转录组反应与应激反应、膜运输、转录和翻译相关，并且可能与污染物的作用模式有关。转录组图谱用于设计实时（定量）聚合酶链反应 (qPCR) 测定，该测定将转录本丰度的变化与基于 TIE 的方法中的特定应激源联系起来。每种测试污染物（铜、镉、银、盐度和氨）至少有一个转录本专门对该污染物做出反应。随着每种污染物的额外转录组标记的进一步开发，这种新方法有可能通过提供额外的证据来增强传统毒理学生物测定，以根据转录组谱的变化识别受污染生态系统内的生物相关压力源。皇冠版权所有 (C) 2013 由 Elsevier B.V. 出版。保留所有权利。
The transcriptomic profile of the marine diatom, Phaeodactylum tricomutum, exposed to several ecologically relevant stressors, was used to develop toxicity identification evaluation (TIE)-like gene expression assays. Algal growth inhibition was measured by flow cytometry to determine exposure concentrations that elicited a sublethal toxic response. P. tricomutum was exposed to concentrations of copper (2 mu g L-1), cadmium (5 mu g L-1), silver (20 mu g L-1), simazine (75 mu g L-1), the water accommodated fraction (WAF) of weathered crude oil (5 mg L-1), 50 mu g L-1 ammonia, a decreased salinity treatment (15%.), and a mixture exposure of ammonia, decreased salinity and cadmium (10 mu g L-1). Analysis of the gene expression via microarray indicated that unique transcriptomic signals were generated for each of the individual treatments. Transcriptomic profiles of ammonia and the mixture treatment overlapped substantially. Photosynthesis related transcripts were altered in the simazine (herbicide) treatment. A transcript involved in degrading hydrocarbons, dioxygenase, had increased abundance after crude oil exposure. Overall, transcriptomic responses in the different treatments were associated with stress responses, membrane transport, transcription and translation and could be linked to contaminant mode of action. The transcriptomic profiles were used to design real-time (quantitative) polymerase chain reaction (qPCR) assays that would link changes in transcript abundance to a particular stressor in a TIE-based approach. At least one transcript for each contaminant tested (copper, cadmium, silver, salinity and ammonia) responded exclusively to that contaminant. With further development of additional transcriptomic markers for each contaminant, this new approach has potential to enhance traditional toxicology bioassays by providing additional lines of evidence to identify biologically relevant stressors within a contaminated ecosystem based on changes in the transcriptomic profile. Crown Copyright (C) 2013 Published by Elsevier B.V. All rights reserved.