Hook Sharon E, Kroon Frederieke J, Greenfield Paul A, Warne Michael St J, Smith Rachael A, Turner Ryan D
Commonwealth Scientific and Industrial Research Organisation (CSIRO) Oceans and Atmosphere, Kirrawee, NSW 2232, Australia.
Australian Institute of Marine Science, PMB 3, Townsville, Queensland 4810, Australia.
Mar Environ Res. 2017 Aug;129:166-179. doi: 10.1016/j.marenvres.2017.05.006. Epub 2017 May 31.
Resource managers need to differentiate between sites with and without contaminants and those where contaminants cause impacts. Potentially, transcriptomes could be used to evaluate sites where contaminant-induced effects may occur, to identify causative stressors of effects and potential adverse outcomes. To test this hypothesis, the hepatic transcriptomes in Barramundi, a perciforme teleost fish, (Lates calcarifer) from two reference sites, two agriculturally impacted sites sampled during the dry season, and an impacted site sampled during the wet season were compared. The hepatic transcriptome was profiled using RNA-Seq. Multivariate analysis showed that transcriptomes were clustered based on site and by inference water quality, but not sampling time. The largest differences in transcriptomic profile were between reference sites and a site sampled during high run-off, showing that impacted sites can be identified via RNA-Seq. Transcripts with altered abundance were linked to xenobiotic metabolism, peroxisome proliferation and stress responses, indicating putative stressors with the potential for adverse outcomes in barramundi.
资源管理者需要区分有无污染物的场地以及污染物产生影响的场地。转录组有可能用于评估可能发生污染物诱导效应的场地,识别效应的致病应激源和潜在不良后果。为了验证这一假设,对来自两个参考场地、两个旱季采样的受农业影响场地以及一个雨季采样的受影响场地的尖吻鲈(一种鲈形目硬骨鱼,学名尖吻鲈)的肝脏转录组进行了比较。使用RNA测序对肝脏转录组进行了分析。多变量分析表明,转录组根据场地以及由此推断的水质进行聚类,但与采样时间无关。转录组图谱的最大差异存在于参考场地和高径流期间采样的场地之间,这表明可以通过RNA测序识别受影响的场地。丰度改变的转录本与异生物质代谢、过氧化物酶体增殖和应激反应有关,表明这些是尖吻鲈中具有潜在不良后果的假定应激源。