Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo, Spain.
Biomedical Research Center (CINBIO), University of Vigo, Vigo, Spain.
Mol Ecol. 2020 Jun;29(12):2150-2159. doi: 10.1111/mec.15479. Epub 2020 Jun 14.
Cavalli-Sforza and coauthors originally explored the genetic variation of modern humans throughout the world and observed an overall east-west genetic gradient in Asia. However, the specific environmental and population genetics processes causing this gradient were not formally investigated and promoted discussion in recent studies. Here we studied the influence of diverse environmental and population genetics processes on Asian genetic gradients and identified which could have produced the observed gradient. To do so, we performed extensive spatially-explicit computer simulations of genetic data under the following scenarios: (a) variable levels of admixture between Paleolithic and Neolithic populations, (b) migration through long-distance dispersal (LDD), (c) Paleolithic range contraction induced by the last glacial maximum (LGM), and (d) Neolithic range expansions from one or two geographic origins (the Fertile Crescent and the Yangzi and Yellow River Basins). Next, we estimated genetic gradients from the simulated data and we found that they were sensible to the analysed processes, especially to the range contraction induced by LGM and to the number of Neolithic expansions. Some scenarios were compatible with the observed east-west genetic gradient, such as the Paleolithic expansion with a range contraction induced by the LGM or two Neolithic range expansions from both the east and the west. In general, LDD increased the variance of genetic gradients among simulations. We interpreted the obtained gradients as a consequence of both allele surfing caused by range expansions and isolation by distance along the vast east-west geographic axis of this continent.
卡瓦利-斯福扎和同事最初探索了世界各地现代人类的遗传变异,并观察到亚洲整体存在东西向的遗传梯度。然而,导致这种梯度的具体环境和人口遗传学过程并没有被正式研究,并在最近的研究中引发了讨论。在这里,我们研究了不同的环境和人口遗传学过程对亚洲遗传梯度的影响,并确定了哪些过程可能产生了观察到的梯度。为此,我们在以下情况下对遗传数据进行了广泛的、具有空间细节的计算机模拟:(a) 旧石器时代和新石器时代人群之间的混合程度不同,(b) 通过长距离扩散(LDD)进行迁移,(c) 末次冰盛期(LGM)导致的旧石器时代范围收缩,以及 (d) 从一个或两个地理起源(新月沃地和长江及黄河流域)进行新石器时代的扩张。接下来,我们从模拟数据中估计了遗传梯度,发现它们对分析过程很敏感,特别是对 LGM 引起的范围收缩和新石器时代从东、西两个方向的扩张次数很敏感。一些情景与观察到的东西向遗传梯度相符,例如旧石器时代的扩张伴随着由 LGM 引起的范围收缩,或者从东西方两个方向进行的两次新石器时代的扩张。一般来说,LDD 增加了模拟中遗传梯度的方差。我们将获得的梯度解释为范围扩张引起的等位基因冲浪和沿这个大陆广阔的东西地理轴的距离隔离的结果。