Department of Biology, Duke University, Durham, NC, USA.
Mol Ecol. 2021 Dec;30(23):6087-6100. doi: 10.1111/mec.16007. Epub 2021 Jun 14.
Germline mutations are the raw material for natural selection, driving species evolution and the generation of earth's biodiversity. Without this driver of genetic diversity, life on earth would stagnate. Yet, it is a double-edged sword. An excess of mutations can have devastating effects on fitness and population viability. It is therefore one of the great challenges of molecular ecology to determine the rate and mechanisms by which these mutations accrue across the tree of life. Advances in high-throughput sequencing technologies are providing new opportunities for characterizing the rates and mutational spectra within species and populations thus informing essential evolutionary parameters such as the timing of speciation events, the intricacies of historical demography, and the degree to which lineages are subject to the burdens of mutational load. Here, we will focus on both the challenge and promise of whole-genome comparisons among parents and their offspring from known pedigrees for the detection of germline mutations as they arise in a single generation. The potential of these studies is high, but the field is still in its infancy and much uncertainty remains. Namely, the technical challenges are daunting given that pedigree-based genome comparisons are essentially searching for needles in a haystack given the very low signal to noise ratio. Despite the challenges, we predict that rapidly developing methods for whole-genome comparisons hold great promise for integrating empirically derived estimates of de novo mutation rates and mutation spectra across many molecular ecological applications.
种系突变是自然选择的原材料,推动了物种进化和地球生物多样性的产生。没有这种遗传多样性的驱动力,地球上的生命将停滞不前。然而,这是一把双刃剑。过多的突变会对适应性和种群生存力产生毁灭性的影响。因此,确定这些突变在生命之树上积累的速度和机制是分子生态学的重大挑战之一。高通量测序技术的进步为在物种和种群内描述突变率和突变谱提供了新的机会,从而为关键的进化参数提供了信息,例如物种形成事件的时间、历史人口统计学的复杂性,以及谱系受突变负荷负担的程度。在这里,我们将重点关注在已知家系中从父母及其后代进行全基因组比较以检测单一代中出现的种系突变的挑战和前景。这些研究的潜力很大,但该领域仍处于起步阶段,存在许多不确定性。即,鉴于基于谱系的基因组比较本质上是在寻找干草堆中的针,因此技术挑战令人生畏,因为信噪比非常低。尽管存在挑战,但我们预测,用于全基因组比较的快速发展方法对于整合许多分子生态学应用中从头突变率和突变谱的经验衍生估计值具有很大的前景。