Archaic Introgression Shaped Human Circadian Traits

Human dispersal into East Eurasia: ancient genome insights and the need for research on physiological adaptations

Humans have long pondered their genesis. The answer to the great question of where Homo sapiens come from has evolved in conjunction with biotechnologies that have allowed us to more brightly illuminate our distant past. The "Multiregional Evolution" model was once the hegemonic theory of Homo sapiens origins, but in the last 30 years, it has been supplanted by the "Out of Africa" model. Here, we review the major findings that have resulted in this paradigmatic shift. These include hominin brain expansion, classical insight from the mitochondrial genome (mtDNA) regarding the timing of the divergence point between Africans and non-Africans, and next-generation sequencing (NGS) of the Neanderthal and Denisovan genomes. These findings largely bolstered the "Out of Africa" model, although they also revealed a small degree of introgression of the Neanderthal and Denisovan genomes into those of non-African Homo sapiens. We also review paleogenomic studies for which migration route, north or south, early migrants to East Eurasia most likely traversed. Whichever route was taken, the migrants moved to higher latitudes, which necessitated adaptation for lower light conditions, colder clines, and pro-adipogenic mechanisms to counteract food scarcity. Further genetic and epigenetic investigations of these physiological adaptations constitute an integral aspect of the story of human origins and human migration to East Asia.

Validation and TaqMan Conversion of a Molecular Chronotype Assessment Approach

The present study aimed to develop a TaqMan genotyping card for molecular chronotype assessment based on a predictive panel of 35 previously identified genetic variants. A reliable TaqMan assay was successfully developed for 33 out of the 35 chronotype-predictive variants. The resulting TaqMan genotyping card was utilized to genetically characterize 196 new individuals (in addition to the previously studied 96) and the Morningness-Eveningness Questionnaire was utilized for their phenotypical chronotype assessment. The predictive panel performance was validated on (a) a group of morning and evening individuals (logistic regression model), (b) a representative sample of the original study population also including intermediate chronotypes (linear regression model) and, (c) 25,986 individuals from the Estonian Biobank, for whom Munich Chronotype Questionnaire scores were available. The validation of the morningness-eveningness logistic regression model on 25 morning and 21 evening types resulted in a predictive value of 72%, confirming the reliability of the predictive panel and the success of its conversion into a TaqMan genotyping card. By contrast, the inclusion of intermediate individuals in the model led to a significant decrease in predictive performance (45% on 100 individuals [25 morning, 54 intermediate, and 21 evening]), with intermediate types being the most affected. No significant associations were observed between the genotype panel and chronotype in the Estonian Biobank sample. In conclusion, our genotyping card might represent a promising molecular chronotyping tool for the Italian population. Its performance in other populations is worthy of further study.

Inferring human phenotypes using ancient DNA: from molecules to populations

The increasing availability of ancient DNA (aDNA) from human groups across space and time has yielded deep insights into the movements of our species. However, given the challenges of mapping from genotype to phenotype, aDNA has revealed less about the phenotypes of ancient individuals. In this review, we highlight recent advances in inferring ancient phenotypes - from the molecular to population scale - with a focus on applications enabled by new machine learning approaches. The genetic architecture of complex traits across human groups suggests that the prediction of individual-level complex traits, like behavior or disease risk, is often challenging across the relevant evolutionary distances. Thus, we propose an approach that integrates predictions of molecular phenotypes, whose mechanisms are more conserved, with nongenetic data.

Archaic hominin admixture and its consequences for modern humans

As anatomically modern humans dispersed out of Africa, they encountered and mated with now extinct hominins, including Neanderthals and Denisovans. It is now well established that all non-African individuals derive approximately 2% of their genome from Neanderthal ancestors and individuals of Melanesian and Australian aboriginal ancestry inherited an additional 2%-5% of their genomes from Denisovan ancestors. Attention has started to shift from documenting amounts of archaic admixture and identifying introgressed segments to understanding their molecular, phenotypic, and evolutionary consequences and refining models of human history. Here, we review recent insights into admixture between modern and archaic humans, emphasizing methodological innovations and the functional and phenotypic effects Neanderthal and Denisovan sequences have in contemporary individuals.