Genomic approaches with natural fish populations from polluted environments.
Genomic approaches with natural fish populations from polluted environments.
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DOI：
10.1002/etc.403
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发表时间：
2011-02
影响因子：
4.1
通讯作者：
Oleksiak, Marjorie F.
中科院分区：
文献类型：
--
作者：
Bozinovic, Goran;Oleksiak, Marjorie F.
转录学和种群基因组学是两种互补的基因组学方法，可以用来深入了解自然种群中污染物的影响。转录组学识别改变的基因表达途径，而群体基因组学方法更直接地针对导致基因组多态的基因。这两种方法都不局限于一组预先确定的基因或基因座。相反，这两种方法都允许对基因组过程进行广泛的概述。转录组和种群基因组方法被用来探索污染环境中鱼类种群的基因组反应，并确定了对污染反应具有生物重要性的候选基因和基因座集。通常，污染种群和参考种群之间的基因表达或基因位点的差异在污染种群中并不保守，这表明了一种我们还不完全了解的生物学复杂性。随着新的测序和基因分型技术的出现，基因组方法变得更便宜，它们将在免费研究中得到更广泛的应用。然而，尽管这些基因组方法在识别候选基因和基因座方面非常强大，但确定将基因类型和表型联系在一起的生物学机制仍然是一个挑战。
Transcriptomics and population genomics are two complementary genomic approaches that can be used to gain insight into pollutant effects in natural populations. Transcriptomics identify altered gene expression pathways while population genomics approaches more directly target the causative genomic polymorphisms. Neither approach is restricted to a pre-determined set of genes or loci. Instead, both approaches allow a broad overview of genomic processes. Transcriptomics and population genomic approaches have been used to explore genomic responses in populations of fish from polluted environments and have identified sets of candidate genes and loci that appear biologically important in response to pollution. Often differences in gene expression or loci between polluted and reference populations are not conserved among polluted populations suggesting a biological complexity that we do not yet fully understand. As genomic approaches become less expensive with the advent of new sequencing and genotyping technologies, they will be more widely used in complimentary studies. However, while these genomic approaches are immensely powerful for identifying candidate gene and loci, the challenge of determining biological mechanisms that link genotypes and phenotypes remains.
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影响因子：
2
作者：
Oleksiak MF
通讯作者：
Oleksiak MF
影响因子：
3.4
作者：
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通讯作者：
Carvalho GR
影响因子：
3.8
作者：
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通讯作者：
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影响因子：
4.4
作者：
Fisher, Marla A.;Oleksiak, Marjorie F.
通讯作者：
Oleksiak, Marjorie F.
影响因子：
30.8
作者：
Oleksiak, MF;Churchill, GA;Crawford, DL
通讯作者：
Crawford, DL