The Genomic Signature and Transcriptional Response of Metal Tolerance in Brown Trout Inhabiting Metal-Polluted Rivers.

IF 4.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Josephine R Paris, R Andrew King, Joan Ferrer Obiol, Sophie Shaw, Anke Lange, Vincent Bourret, Patrick B Hamilton, Darren Rowe, Lauren V Laing, Audrey Farbos, Karen Moore, Mauricio A Urbina, Ronny van Aerle, Julian M Catchen, Rod W Wilson, Nicolas R Bury, Eduarda M Santos, Jamie R Stevens
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引用次数: 0

Abstract

Industrial pollution is a major driver of ecosystem degradation, but it can also act as a driver of contemporary evolution. As a result of intense mining activity during the Industrial Revolution, several rivers across the southwest of England are polluted with high concentrations of metals. Despite the documented negative impacts of ongoing metal pollution, brown trout (Salmo trutta L.) survive and thrive in many of these metal-impacted rivers. We used population genomics, transcriptomics, and metal burdens to investigate the genomic and transcriptomic signatures of potential metal tolerance. RADseq analysis of six populations (originating from three metal-impacted and three control rivers) revealed strong genetic substructuring between impacted and control populations. We identified selection signatures at 122 loci, including genes related to metal homeostasis and oxidative stress. Trout sampled from metal-impacted rivers exhibited significantly higher tissue concentrations of cadmium, copper, nickel and zinc, which remained elevated after 11 days in metal-free water. After depuration, we used RNAseq to quantify gene expression differences between metal-impacted and control trout, identifying 2042 differentially expressed genes (DEGs) in the gill, and 311 DEGs in the liver. Transcriptomic signatures in the gill were enriched for genes involved in ion transport processes, metal homeostasis, oxidative stress, hypoxia, and response to xenobiotics. Our findings reveal shared genomic and transcriptomic pathways involved in detoxification, oxidative stress responses and ion regulation. Overall, our results demonstrate the diverse effects of metal pollution in shaping both neutral and adaptive genetic variation, whilst also highlighting the potential role of constitutive gene expression in promoting metal tolerance.

栖息在受金属污染河流中的褐鳟耐受金属的基因组特征和转录反应
工业污染是生态系统退化的主要驱动力,但它也可以成为当代进化的驱动力。由于工业革命期间采矿活动频繁,英格兰西南部的几条河流都受到了高浓度金属污染。尽管有文献记载持续的金属污染会带来负面影响,但褐鳟鱼(Salmo trutta L.)仍在这些受金属影响的河流中生存和繁衍。我们利用种群基因组学、转录组学和金属负荷来研究潜在金属耐受性的基因组和转录组特征。对六个种群(分别来自三条受金属影响的河流和三条对照河流)的 RADseq 分析显示,受影响种群和对照种群之间存在强烈的遗传亚结构。我们确定了 122 个基因位点的选择特征,包括与金属平衡和氧化应激相关的基因。在受金属影响的河流中采样的鳟鱼,其组织中的镉、铜、镍和锌浓度明显较高,在无金属水体中浸泡 11 天后,这些浓度仍保持在较高水平。净化后,我们使用 RNAseq 对受金属影响的鳟鱼和对照组鳟鱼之间的基因表达差异进行了量化,在鳃中发现了 2042 个差异表达基因(DEGs),在肝脏中发现了 311 个差异表达基因(DEGs)。鳃中的转录组特征富集于参与离子转运过程、金属稳态、氧化应激、缺氧和对异种生物反应的基因。我们的研究结果揭示了涉及解毒、氧化应激反应和离子调节的共同基因组和转录组通路。总之,我们的研究结果表明了金属污染在形成中性和适应性遗传变异方面的不同影响,同时也强调了组成型基因表达在促进金属耐受性方面的潜在作用。
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来源期刊
Molecular Ecology
Molecular Ecology 生物-进化生物学
CiteScore
8.40
自引率
10.20%
发文量
472
审稿时长
1 months
期刊介绍: Molecular Ecology publishes papers that utilize molecular genetic techniques to address consequential questions in ecology, evolution, behaviour and conservation. Studies may employ neutral markers for inference about ecological and evolutionary processes or examine ecologically important genes and their products directly. We discourage papers that are primarily descriptive and are relevant only to the taxon being studied. Papers reporting on molecular marker development, molecular diagnostics, barcoding, or DNA taxonomy, or technical methods should be re-directed to our sister journal, Molecular Ecology Resources. Likewise, papers with a strongly applied focus should be submitted to Evolutionary Applications. Research areas of interest to Molecular Ecology include: * population structure and phylogeography * reproductive strategies * relatedness and kin selection * sex allocation * population genetic theory * analytical methods development * conservation genetics * speciation genetics * microbial biodiversity * evolutionary dynamics of QTLs * ecological interactions * molecular adaptation and environmental genomics * impact of genetically modified organisms
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