Paleoanthropology, Institute for Archaeological Sciences and Senckenberg Centre for Human Evolution and Palaeoenvironment, Eberhard Karls University of Tübingen, Rümelinstrasse 19-23, Tübingen 72070, Germany; DFG Centre for Advanced Studies 'Words, Bones, Genes, Tools: Tracking Linguistic, Cultural and Biological Trajectories of the Human Past', Rümelinstrasse 19-23, Tübingen 72070, Germany.
Department of Anthropology, University of Kentucky, 211 Lafferty Hall, Lexington, KY 40506, USA; William S. Webb Museum of Anthropology, University of Kentucky, 1020 Export St, Lexington, KY 40504, USA.
J Hum Evol. 2022 Dec;173:103279. doi: 10.1016/j.jhevol.2022.103279. Epub 2022 Nov 11.
The Middle and Late Pleistocene is arguably the most interesting period in human evolution. This broad period witnessed the evolution of our own lineage, as well as that of our sister taxon, the Neanderthals, and related Denisovans. It is exceptionally rich in both fossil and archaeological remains, and uniquely benefits from insights gained through molecular approaches, such as paleogenetics and paleoproteomics, that are currently not widely applicable in earlier contexts. This wealth of information paints a highly complex picture, often described as 'the Muddle in the Middle,' defying the common adage that 'more evidence is needed' to resolve it. Here we review competing phylogenetic scenarios and the historical and theoretical developments that shaped our approaches to the fossil record, as well as some of the many remaining open questions associated with this period. We propose that advancing our understanding of this critical time requires more than the addition of data and will necessitate a major shift in our conceptual and theoretical framework.
中更新世和晚更新世可以说是人类进化中最有趣的时期。在这个广泛的时期,见证了我们自身谱系的进化,以及我们的姐妹分类群——尼安德特人和相关的丹尼索瓦人的进化。这个时期的化石和考古遗迹异常丰富,特别受益于通过分子方法获得的见解,如古遗传学和古蛋白质组学,这些方法目前在早期背景下还不太适用。这些丰富的信息描绘了一个高度复杂的画面,通常被描述为“中间的混乱”,这与“需要更多的证据”来解决问题的常见说法相悖。在这里,我们回顾了相互竞争的系统发育情景,以及塑造我们对化石记录的方法的历史和理论发展,以及与这个时期相关的许多仍然存在的悬而未决的问题。我们提出,要加深对这个关键时期的理解,需要的不仅仅是增加数据,还需要在我们的概念和理论框架上进行重大转变。