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Biology subjects

Ericson, P.

Publications and source records attributed to Ericson, P..

2 recordsLinked to original sources

Species-specific dynamics may cause deviations from general biogeographical predictions - evidence from a population genomics study of a New Guinean endemic passerine bird family (Melampittidae).

New Guinea, the largest tropical island, is topographically complex and is dominated by a large central mountain range surrounded by multiple smaller isolated mountain regions along its perimeter. The island is biologically hyper-diverse and harbours an avifauna with many species found only there. The family Melampittidae is endemic to New Guinea and consists of two monotypic genera: Melampitta lugubris (Lesser Melampitta) and Megalampitta gigantea (Greater Melampitta). Both Melampitta species have scattered and disconnected distributions across New Guinea in the central mountain range and in some of the outlying ranges. While M. lugubris is common and found in most montane regions of the island, M. gigantaea is elusive and known from only six localities in isolated pockets on New Guinea with very specific habitats of limestone and sinkholes. In this project, we apply museomics to determine the population structure and demographic history of these two species. We re-sequenced the genomes of all seven known M. gigantaea samples housed in museum collections as well as 24 M. lugubris samples from across its distribution. By comparing population structure between the two species, we investigate to what extent habitat dependence, such as in M. gigantaea, may affect population connectivity. Phylogenetic and population genomic analyses, as well as acoustic differentiation, revealed that M. gigantaea consists of a single population in contrast to M. lugubris that shows much stronger population structure across the island. This work sheds new light on the mechanisms that have shaped the intriguing distribution of the two species within this family and is a prime example of the importance of museum collections for genomic studies of poorly known and rare species.

evolutionary biology↗

Solitary Silence and Social Sounds: Music influences mental imagery, inducing thoughts of social interactions

The COVID-19 pandemic was accompanied by a marked increase in the use of music listening for self-regulation1. During these challenging times, listeners reported they used music to keep them company2; indicating that they may have turned to music for social solace3. However, whether this is simply a figure of speech or an empirically observable effect on social thought was previously unclear. In three experiments, six hundred participants were presented with silence or task-irrelevant music in Italian, Spanish, or Swedish while performing a directed mental-imagery task in which they imagined a journey towards a topographical landmark4. To control for a possible effect of vocals on imagined content, the music was presented with or without vocals to the participants, of which half were native speakers and the other half non-speakers of the respective languages. Music, compared to silence, led to more vivid imagination and changes in imagined content. Specifically, social interaction emerged as a clear thematic cluster in participants descriptions of their imagined content through Latent Dirichlet Allocation. Moreover, Bayesian Mixed effects models revealed that music significantly increased imagined social content compared to silence conditions. This effect remained robust irrespective of vocals or language comprehension. Using stable diffusion, we generated visualisations of participants imagined content. In a fourth experiment, a new group of participants was able to use these visualisations to differentiate between content imagined during music listening and that of the silence condition, but only when listening to the associated music. Results converge to show that music, indeed, can be good company.

animal behavior and cognition↗