Harkins Kelly M, Stone Anne C
Center for Bioarchaeological Research, School of Human Evolution and Social Change, Arizona State University, United States.
Center for Bioarchaeological Research, School of Human Evolution and Social Change, Arizona State University, United States.
J Hum Evol. 2015 Feb;79:137-49. doi: 10.1016/j.jhevol.2014.11.002. Epub 2014 Dec 18.
Disease is a major cause of natural selection affecting human evolution, whether through a sudden pandemic or persistent morbidity and mortality. Recent contributions in the field of ancient pathogen genomics have advanced our understanding of the antiquity and nature of human-pathogen interactions through time. Technical advancements have facilitated the recovery, enrichment, and high-throughput sequencing of pathogen and parasite DNA from archived and archaeological remains. These time-stamped genomes are crucial for calibrating molecular clocks to infer the timing of evolutionary events, while providing finer-grain resolution to phylogenetic reconstructions and complex biogeographical patterns. Additionally, genome scale data allow better identification of substitutions linked to adaptations of the pathogen to their human hosts. As methodology continues to improve, ancient genomes of humans and their diverse microbiomes from a range of eras and archaeological contexts will enable population-level ancient analyses in the near future and a better understanding of their co-evolutionary history.
疾病是影响人类进化的自然选择的主要原因,无论是通过突发的大流行还是持续的发病和死亡。古代病原体基因组学领域的最新研究成果推进了我们对人类与病原体相互作用的古老性和本质随时间变化的理解。技术进步促进了从存档和考古遗迹中恢复、富集病原体和寄生虫DNA以及进行高通量测序。这些带有时间印记的基因组对于校准分子钟以推断进化事件的时间至关重要,同时为系统发育重建和复杂的生物地理模式提供更精细的分辨率。此外,基因组规模的数据有助于更好地识别与病原体适应人类宿主相关的替代突变。随着方法不断改进,来自一系列时代和考古背景的人类及其多样微生物组的古代基因组将在不久的将来实现群体水平的古代分析,并更好地理解它们的共同进化历史。