Parasites lost: using natural history collections to track disease change across deep time
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Issue date
2019-03-04Submitted date
2019-07-10Subject Terms
Disease ecologyAncient DNA sequencing
Imaging technology
Historical disease data
Natural resources management
Metadata
Show full item recordAbstract
Recent decades have brought countless outbreaks of infectious disease among wildlife. These events appear to be increasing in frequency and magnitude, but to objectively evaluate whether ecosystems are experiencing rising rates of disease, scientists require historical data on disease abundance. Specimens held in natural history collections represent a chronological archive of life on Earth and may, in many cases, be the only available source of data on historical disease patterns. It is possible to extract information on past disease rates by studying trace fossils (indirect fossilized evidence of an organism's presence or activity, including coprolites or feces), sequencing ancient DNA of parasites, and examining sediment samples, mummified remains, study skins (preserved animal skins prepared by taxidermy for research purposes), liquid‐preserved hosts, and hosts preserved in amber. Such use of natural history collections could expand scientific understanding of parasite responses to environmental change across deep time (that is, over the past several centuries), facilitating the development of baselines for managing contemporary wildlife disease.Citation
Harmon, A., D. T. J. Littlewood, et al. (2019). "Parasites lost: using natural history collections to track disease change across deep time." Frontiers in Ecology and the Environment 17(3): 157-166.Publisher
Ecological Society of AmericaDOI
10.1002/fee.2017Type
Journal ArticleItem Description
© The Ecological Society of America. The Author may post the work in a publicly accessible form on his/her personal or home institution's webpages. Full text available 10.1002/fee.2017. The attached file is the published pdf.NHM Repository
ISSN
1540-9295EISSN
1540-9309ae974a485f413a2113503eed53cd6c53
10.1002/fee.2017
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