Blair Hedges S, Kumar Sudhir
NASA Astrobiology Institute and Department of Biology, 208 Mueller Laboratory, Pennsylvania State University, University Park, PA 16802-5301, USA.
Trends Genet. 2003 Apr;19(4):200-6. doi: 10.1016/S0168-9525(03)00053-2.
For decades, molecular clocks have helped to illuminate the evolutionary timescale of life, but now genomic data pose a challenge for time estimation methods. It is unclear how to integrate data from many genes, each potentially evolving under a different model of substitution and at a different rate. Current methods can be grouped by the way the data are handled (genes considered separately or combined into a 'supergene') and the way gene-specific rate models are applied (global versus local clock). There are advantages and disadvantages to each of these approaches, and the optimal method has not yet emerged. Fortunately, time estimates inferred using many genes or proteins have greater precision and appear to be robust to different approaches.
几十年来,分子钟有助于阐明生命的进化时间尺度,但现在基因组数据对时间估计方法提出了挑战。目前尚不清楚如何整合来自许多基因的数据,每个基因可能在不同的替代模型下以不同的速率进化。当前的方法可以根据处理数据的方式(分别考虑基因或将其组合成一个“超级基因”)以及应用基因特异性速率模型的方式(全局时钟与局部时钟)进行分类。这些方法各有优缺点,尚未出现最优方法。幸运的是,使用许多基因或蛋白质推断出的时间估计具有更高的精度,并且似乎对不同的方法具有稳健性。