bioRxivEvolutionary Biology
Inferring the Demographic History of Japanese Eel (Anguilla japonica) from Genomic Data: Insights for Conservation and Fisheries Management
L. Faulks, P. Kaushik, S. Taniguchi, M. Sekino, R. Nakamichi, Y. Yamamoto, H. Fujimori, C. Okamoto, S. Kodama, A. Daryani, A. F. Manwong, I. Galang, N. Mochioka, K. Araki, M. Suzuki, Y. Kaji, T. Ichiki, T. Matsunaga, H. Hakoyama
Abstract
O_LIAssessing the status or population size of species is a key task for wildlife conservation and the sustainable management of harvested species. In particular, assessing historical changes in population size provides an evolutionary perspective on current population dynamics and can help distinguish between anthropogenic and natural causes for population decline. C_LIO_LIJapanese eel (Anguilla japonica) is an endangered yet commercially important catadromous fish species. Here we assess the demographic history of Japanese eel using the pairwise and multiple sequentially Markovian coalescent methods. C_LIO_LIThe analyses indicate a reduction in effective population size (Ne) from 38 000 to 10 000 individuals between 4 and 1 Ma, followed by an increase to 80 000 individuals, between 1 Ma and 22-30 kya. Approximately 22-30 kya there is evidence for a reduction in Ne to approximately 60 000 individuals. These events are likely due to changes in environmental conditions, such as sea level and oceanic currents, especially around the last glacial maximum (19-33 kya). C_LIO_LIThe results of this study suggest that Japanese eel has experienced at least two population bottlenecks, interspersed by a period of population growth. This pattern of demographic history may make Japanese eel sensitive to current and future population declines. Conservation management of Japanese eel should focus on practical ways to prevent further population decline and the loss of genetic diversity that is essential for the species to adapt to changing environmental conditions such as climate change. C_LI
- organism: multiple species
- assay: whole-genome sequencing
- research focus: phylogenetics / evolution
- research focus: ecology & biodiversity
- approach: statistical model
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