Science Enabled by Specimen Data

Ecke, F., B. A. Han, B. Hörnfeldt, H. Khalil, M. Magnusson, N. J. Singh, and R. S. Ostfeld. 2022. Population fluctuations and synanthropy explain transmission risk in rodent-borne zoonoses. Nature Communications 13. https://doi.org/10.1038/s41467-022-35273-7

Population fluctuations are widespread across the animal kingdom, especially in the order Rodentia, which includes many globally important reservoir species for zoonotic pathogens. The implications of these fluctuations for zoonotic spillover remain poorly understood. Here, we report a global empirical analysis of data describing the linkages between habitat use, population fluctuations and zoonotic reservoir status in rodents. Our quantitative synthesis is based on data collated from papers and databases. We show that the magnitude of population fluctuations combined with species’ synanthropy and degree of human exploitation together distinguish most rodent reservoirs at a global scale, a result that was consistent across all pathogen types and pathogen transmission modes. Our spatial analyses identified hotspots of high transmission risk, including regions where reservoir species dominate the rodent community. Beyond rodents, these generalities inform our understanding of how natural and anthropogenic factors interact to increase the risk of zoonotic spillover in a rapidly changing world. Many rodent species are known as hosts of zoonotic pathogens, but the ecological conditions that trigger spillover are not well-understood. Here, the authors show that population fluctuations and association with human-dominated habitats explain the zoonotic reservoir status of rodents globally.

TREVIÑO-ZEVALLOS, I., I. GARCÍA-CUNCHILLOS, and C. LADO. 2021. New records of Myxomycetes (Amoebozoa) from the tropical Andes. Phytotaxa 522: 231–239. https://doi.org/10.11646/phytotaxa.522.3.6

The Myxomycetes comprise a remarkably diverse group of organisms within Amoebozoa, with over 1000 species currently recognized. These organisms, at the end of their life cycles produce fruiting bodies which are the basis for their systematics. Despite being a biodiversity hotspot, the tropical Andes…

Dibán, M. J., L. F. Hinojosa, V. Salazar-Vidal, and G. Palfner. 2020. Ripartites tricholoma (Alb. & Schwein.) P. Karst. (Basidiomycota, Agaricales) un nuevo registro de género y especie para Chile. Gayana. Botánica 77: 186–190. https://doi.org/10.4067/s0717-66432020000200186

Ripartites tricholoma collected in the Nature Reserve Altos de Cantillana, near Santiago is described as a first record of this fungal genus and species for Chile. This is a contribution to the knowledge of fungal diversity in Nothofagus macrocarpa dominated forest close to its northern limit of dis…

Cooper, N., A. L. Bond, J. L. Davis, R. Portela Miguez, L. Tomsett, and K. M. Helgen. 2019. Sex biases in bird and mammal natural history collections. Proceedings of the Royal Society B: Biological Sciences 286: 20192025. https://doi.org/10.1098/rspb.2019.2025

Natural history specimens are widely used across ecology, evolutionary biology and conservation. Although biological sex may influence all of these areas, it is often overlooked in large-scale studies using museum specimens. If collections are biased towards one sex, studies may not be representativ…

Li, X., B. Li, G. Wang, X. Zhan, and M. Holyoak. 2020. Deeply digging the interaction effect in multiple linear regressions using a fractional-power interaction term. MethodsX 7: 101067. https://doi.org/10.1016/j.mex.2020.101067

In multiple regression Y ~ β0 + β1X1 + β2X2 + β3X1 X2 + ɛ., the interaction term is quantified as the product of X1 and X2. We developed fractional-power interaction regression (FPIR), using βX1M X2N as the interaction term. The rationale of FPIR is that the slopes of Y-X1 regression along the X2 gr…

Liu, X., T. M. Blackburn, T. Song, X. Li, C. Huang, and Y. Li. 2019. Risks of Biological Invasion on the Belt and Road. Current Biology 29: 499-505.e4. https://doi.org/10.1016/j.cub.2018.12.036

China’s Belt and Road Initiative (BRI) is an unprecedented global development program that involves nearly half of the world’s countries [1]. It not only will have economic and political influences, but also may generate multiple environmental challenges and is a focus of considerable academic and p…