Looking for unique signals of human expansion from Africa: Beyond diversity

Author:

Cenac Zarus

Abstract

AbstractThere are known to be different views on which portion of Africa modern humans globally spread from. Biological diversities have been employed to estimate the origin of our global expansion. These diversities vary with geographical distance from Africa, thereby expressing the signal of the expansion. In preprints, the signal supposedly appeared beyond diversity – in cranial sexual size dimorphism and a cranial shape distance-based measure. Compared to when diversity is used alone, the addition to analysis of variables which are beyond diversity could improve recovery of the signal, therefore improving origin identification. I explored this through cranial and genetic measures which had been calculated in prior studies. Various analyses were used, e.g., ridge regression and Mantel tests. Amongst cranial variables (shape diversity, sexual size dimorphism, and a shape distance-based measure), only dimorphism had a unique portion of the expansion signal. In comparison to when diversity was utilised alone, the additional use of dimorphism and the distance-based measure did not substantially impact signal recovery. However, their addition possibly improved origin identification, reducing by 46% the size of the geographical area which may have the origin. This smaller area approximately matched southern Africa, however, it was not only in the south. It was questionable if the signal was present in a genetic distance-based measure, which called into question whether the expansion signal is truly present in the cranial shape distance-based measure. Analysis suggested that the apparent presence of the signal in distance-based measures is affected by the representation of Oceanian populations. This study supports cranial sexual size dimorphism being a helpful indicator of the expansion whilst calling into question whether biological distance-based measures are indicators. Clarity remains missing on which African region was the origin.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3