SNP Data for Tuggeranong Lignum (Muehlenbeckia tuggeranong) and Congenera

Published: 17 June 2025| Version 1 | DOI: 10.17632/rfc29hfjm4.1
Contributors:
,
,
,
, Emma Cook,

Description

Muehlenbeckia tuggeranong (Tuggeranong lignum) is an endangered subshrub with fewer than ten individuals remaining in it's native habitat and 20 held in an ex-situ living collection in the Australian National Botanic Gardens (ANBG), including seedlings produced ex-situ. The provided datasets contain SNP data for all ex-situ and in-situ individuals of this plant, and closely related congeners from the ANBG. The ultimate aim of the study for which the datasets were produced was to provide management advice for the plant. The data was used to determine that the seedlings were not the result of hybridization between M. tuggeranong and congeners held at the ANBG using PCoA & FST analyses with the package dartRverse in the data program R. As the species can reproduce clonally, the number of unique genotypes held by the ABNG and existing in the wild was analysed using the program COLONY. The genetic diversity was determined for each genetically unique individual in the program R. Finally, to advise on the best breeding pairs to maximise genetic diversity, all potential genetic crosses between the unique genotypes were simulated in R using the gl.sim.crosses function in the dartRpackage in the program R. For each cross, 10 offspring were simulated to reflect the approximate seed yield of the species, and the average heterozygosity across the offspring was calculated. Further information on the data methods and outcomes can be read in the associated paper, "On the precipice of extinction: The use of genetic data in the conservation management of in-situ and ex-situ collections of the critically endangered Muehlenbeckia tuggeranong (Tuggeranong Lignum)" , Walcott et al., 2025.

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Institutions

Australian National Botanical Gardens, University of Canberra

Departments

Science & Technology Office

Categories

Conservation Management, Conservation Genetics

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