Der Sarkissian Clio, Velsko Irina M, Fotakis Anna K, Vågene Åshild J, Hübner Alexander, Fellows Yates James A
Centre for Anthropobiology and Genomics of Toulouse, UMR5288, CNRS, University Toulouse 3 Paul Sabatier, Toulouse, France.
Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
mSystems. 2021 Dec 21;6(6):e0131521. doi: 10.1128/msystems.01315-21.
Like modern metagenomics, ancient metagenomics is a highly data-rich discipline, with the added challenge that the DNA of interest is degraded and, depending on the sample type, in low abundance. This requires the application of specialized measures during molecular experiments and computational analyses. Furthermore, researchers often work with finite sample sizes, which impedes optimal experimental design and control of confounding factors, and with ethically sensitive samples necessitating the consideration of additional guidelines. In September 2020, early career researchers in the field of ancient metagenomics met (Standards, Precautions & Advances in Ancient Metagenomics 2 [SPAAM2] community meeting) to discuss the state of the field and how to address current challenges. Here, in an effort to bridge the gap between ancient and modern metagenomics, we highlight and reflect upon some common misconceptions, provide a brief overview of the challenges in our field, and point toward useful resources for potential reviewers and newcomers to the field.
与现代宏基因组学一样,古代宏基因组学也是一个数据高度丰富的学科,其面临的额外挑战在于,目标DNA已降解,且根据样本类型的不同,其丰度较低。这就需要在分子实验和计算分析过程中采取专门的措施。此外,研究人员通常处理的样本量有限,这妨碍了最佳实验设计以及对混杂因素的控制,而且样本涉及伦理敏感性,需要考虑额外的指导原则。2020年9月,古代宏基因组学领域的早期职业研究人员齐聚一堂(古代宏基因组学的标准、预防措施与进展2 [SPAAM2] 社区会议),讨论该领域的现状以及如何应对当前的挑战。在此,为弥合古代宏基因组学与现代宏基因组学之间的差距,我们着重指出并反思一些常见的误解,简要概述我们领域面临的挑战,并为潜在的审稿人和该领域的新手指明有用的资源。