Insular flying foxes are keystone species in island ecosystems due to their critical roles in plant pollination and seed dispersal. These species are vulnerable to population decline because of their small populations and low reproductive rates. The Formosan flying fox (Pteropus dasymallus formosus) is one of the 5 subspecies of the Ryukyu flying fox. Pteropus dasymallus formosus has suffered from a severe decline and is currently recognized as a critically endangered population in Taiwan. On the contrary, the Orii's flying fox (Pteropus dasymallus inopinatus) is a relatively stable population inhabiting Okinawa Island. Here, we applied a genomic approach called double digest restriction-site associated DNA sequencing to study these 2 subspecies for a total of 7 individuals. We detected significant genetic structure between the 2 populations. Despite their contrasting contemporary population sizes, both populations harbor very low degrees of genetic diversity. We further inferred their demographic history based on the joint folded site frequency spectrum and revealed that both P. d. formosus and P. d. inopinatus had maintained small population sizes for a long period of time after their divergence. Recently, these populations experienced distinct trajectories of demographic changes. While P. d. formosus suffered from a drastic ~10-fold population decline not long ago, P. d. inopinatus underwent a ~4.5-fold population expansion. Our results suggest separate conservation management for the 2 populations-population recovery is urgently needed for P. d. formosus while long-term monitoring for adverse genetic effects should be considered for P. d. inopinatus.
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http://dx.doi.org/10.1093/jhered/esab007 | DOI Listing |
PLoS One
January 2025
Department of Mathematics, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan.
In biology and life sciences, fractal theory and fractional calculus have significant applications in simulating and understanding complex problems. In this paper, a compartmental model employing Caputo-type fractional and fractal-fractional operators is presented to analyze Nipah virus (NiV) dynamics and transmission. Initially, the model includes nine nonlinear ordinary differential equations that consider viral concentration, flying fox, and human populations simultaneously.
View Article and Find Full Text PDFWater Res
December 2024
CSIRO Environment, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD 4102, Australia. Electronic address:
Microbial source tracking (MST) is a critical tool for identifying sources of human and animal fecal pollution in aquatic environments. To enhance human fecal pollution tracking, this study evaluated the performance characteristics of pBI143, a cryptic plasmid recently identified for potential MST applications. Nucleic acid samples from ten animal species were screened for pBI143, revealing its presence in a small number of pigs, cows, dogs, cats, and flying fox fecal samples.
View Article and Find Full Text PDFFront Ecol Evol
October 2024
Department of Biology, Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA, United States.
Anthropogenic land use change concurrent with introductions of non-native species alters the abundance and distribution of foraging resources for wildlife. This is particularly concerning when resource bottlenecks for wildlife are linked to spillover of infectious diseases to humans. Hendra virus is a bat-borne pathogen in eastern Australia.
View Article and Find Full Text PDFGenes (Basel)
October 2024
Division of Biomedical and Life Sciences, Lancaster University, Lancaster LA1 4YG, UK.
Background: N6-methyladenosine (m6A) is an abundant RNA epitranscriptomic modification in eukaryotes. The m6A machinery includes cellular writer, eraser and reader proteins that regulate m6A. () (the Australian black flying fox) and () (the Egyptian fruit bat) are bats associated with several viral zoonoses yet neglected in the field of m6A epigenetics studies.
View Article and Find Full Text PDFVirus Genes
October 2024
Biosecurity Sciences Laboratory, Department of Agriculture and Fisheries, Biosecurity Queensland, Brisbane, QLD, Australia.
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