Rodrigues Murillo F, Cogni Rodrigo
Institute of Ecology and Evolution, University of Oregon, Eugene, OR, United States.
Department of Ecology, Institute of Biosciences, University of São Paulo, São Paulo, Brazil.
Front Genet. 2021 Jul 13;12:676218. doi: 10.3389/fgene.2021.676218. eCollection 2021.
It is pressing to understand how animal populations evolve in response to climate change. We argue that new sequencing technologies and the use of historical samples are opening unprecedented opportunities to investigate genome-wide responses to changing environments. However, there are important challenges in interpreting the emerging findings. First, it is essential to differentiate genetic adaptation from phenotypic plasticity. Second, it is extremely difficult to map genotype, phenotype, and fitness. Third, neutral demographic processes and natural selection affect genetic variation in similar ways. We argue that , a classical model organism with decades of climate adaptation research, is uniquely suited to overcome most of these challenges. In the near future, long-term time series genome-wide datasets of natural populations will provide exciting opportunities to study adaptation to recent climate change and will lay the groundwork for related research in non-model systems.
了解动物种群如何响应气候变化而进化迫在眉睫。我们认为,新的测序技术和历史样本的使用为研究全基因组对不断变化的环境的反应提供了前所未有的机会。然而,在解释新出现的研究结果时存在重要挑战。首先,区分遗传适应和表型可塑性至关重要。其次,绘制基因型、表型和适应性图谱极其困难。第三,中性种群统计过程和自然选择以相似的方式影响遗传变异。我们认为,作为一个有着数十年气候适应研究的经典模式生物,特别适合克服这些挑战中的大多数。在不久的将来,自然种群的长期全基因组时间序列数据集将为研究对近期气候变化的适应提供令人兴奋的机会,并将为非模式系统中的相关研究奠定基础。