By testing relationships between musical, geographic, genetic, and linguistic distance among nine indigenous groups in Taiwan, the researchers aim to quantitatively evaluate a developing theory of coevolution between these traits. An especially strong correlation between musical variability and genetic distance suggests that music may possess worldwide time depth, diversity, and universality equal to or greater than that of language, and could thus serve as a complementary marker for reconstruction of long-term population shifts.

By analyzing patterns of between- and within-population musical variability among 16 Austronesian-speaking aboriginal groups, the researchers hope to evaluate degree of similarity to structures of human genetic diversity. As in the genetic domain, within-population variance is found to be much higher than between-population variance, leading the researchers to suggest that patterns of musical distance and divergence may serve as an indicator of cultural evolution.

The authors develop CantoCore, an expansion of Lomax's Cantometrics scheme, in order to code for additional candidate musical universals. No musical feature occurs with absolute universality, but several features occur with statistically significant frequency after controlling for historical relatedness, and an additional set of features were found to be universally related to each other. The authors highlight the role of these features in human coordination and cohesion, as well as their their utility to the fields of musical cognition and evolution.

This article explores the possible relationship between the cultural evolution of language, music, and genetic variation beyond the level of language families. Due to their linguistic diversity, the authors use a sample of 14 Northeast Asian societies with matching information on their music, genetics, and linguistic patterns. The variables measuring language are lexicon, phonology, and grammar. Then, the authors compare each variable's relationship to music and genetic variation. The results only show a significant correlation between grammar and genetic variation.