Mayekar Harshad Vijay, Ramkumar Durga Kavya, Garg Divita, Nair Abhishek, Khandelwal Ashwin, Joshi Kavya, Rajpurohit Subhash
Division of Biological and Life Sciences, School of Arts and Sciences, Ahmedabad University, Ahmedabad, GJ, India.
Front Physiol. 2022 Oct 11;13:880728. doi: 10.3389/fphys.2022.880728. eCollection 2022.
Clines are observable gradients that reflect continuous change in biological traits of species across geographical ranges. Clinal gradients could vary at geographic scales (latitude and altitude). Since clinal variations represent active genomic responses at the population level they (clines) provide an immense power to address questions related to climatic change. With the fast pace of climate change i.e. warming, populations are also likely to exhibit rapid responses; at both the phenotypic and genotypic levels. We seek to understand how clinal variation could be used to anticipate climatic responses using , a pervasively used inter-disciplinary model system owing to its molecular repertoire. The genomic information coupled with the phenotypic variation greatly facilitates our understanding of the response to climate change. We discuss traits associated with clinal variation at the phenotypic level as well as their underlying genetic regulators. Given prevailing climatic conditions and future projections for climate change, clines could emerge as monitoring tools to track the cross-talk between climatic variables and organisms.
渐变群是可观察到的梯度,反映了物种生物特征在地理范围内的连续变化。渐变群梯度可能在地理尺度(纬度和海拔)上有所不同。由于渐变群变化代表了种群水平上活跃的基因组反应,它们为解决与气候变化相关的问题提供了巨大的力量。随着气候变化的快速发展,即气候变暖,种群也可能在表型和基因型水平上表现出快速反应。我们试图了解如何利用渐变群变化来预测气候反应,这是一个由于其分子组成而被广泛使用的跨学科模型系统。基因组信息与表型变异相结合,极大地促进了我们对生物对气候变化反应的理解。我们讨论了表型水平上与渐变群变化相关的特征及其潜在的基因调控因子。鉴于当前的气候条件和对气候变化的未来预测,渐变群可能会成为追踪气候变量与生物之间相互作用的监测工具。