The genome sequence of the critically endangered Kroombit tinkerfrog

Type: Journal Article

Reference: Farquharson, K., McLennan, E., Belov, K., & Hogg, C. (2023). The genome sequence of the critically endangered Kroombit tinkerfrog (Taudactylus pleione). F1000Research, 12(845). https://doi.org/10.12688/f1000research.138571.1

Abstract

The Kroombit tinkerfrog (Taudactylus pleione) is a stream-dwelling amphibian of the Myobatrachidae family. It is listed as Critically Endangered and is at high risk of extinction due to chytridiomycosis. Here, we provide the first genome assembly of the evolutionarily distinct Taudactylus genus. We sequenced PacBio HiFi reads to assemble a high-quality long-read genome and identified the mitochondrial genome. We also generated a global transcriptome from a tadpole to improve gene annotation. The genome was 5.52 Gb in length and consisted of 4,196 contigs with a contig N50 of 8.853 Mb and an L50 of 153. This study provides the first genomic resources for the Kroombit tinkerfrog to assist in future phylogenetic, environmental DNA, conservation breeding, and disease susceptibility studies.

Adaptive Genetic Management of a Reintroduction Program from Captive Breeding to Metapopulation Management of an Arboreal Marsupial

Type: Journal article

Reference: Pierson, J. C., Berry, L., Alexander, L., Anson, J., Birkett, M., Kemp, L., Pascoe, B. A., Farquharson, K. A., & Hogg, C. J. (2023). Adaptive Genetic Management of a Reintroduction Program from Captive Breeding to Metapopulation Management of an Arboreal Marsupial. Diversity, 15(7), 848. https://www.mdpi.com/1424-2818/15/7/848

Abstract

The application of genetic data to conservation management programs can be hindered by the mismatch in timelines for management decisions and the acquisition of genetic data, particularly genomic sequence data that may require outsourcing. While applying genetic principles where data are absent can provide general guidelines for actions, genetic data can often fine-tune actions through adaptive management. We describe the adaptive genetic management of the establishment of a metapopulation of a small arboreal marsupial, the red-tailed phascogale (Phascogale calura). Two captive breeding programs were established as source populations, with genetic principles applied to the establishment of the first program and empirical genetic data used to guide the establishment of the second program. Genetic data from both programs were then used to allocate founders to three new populations to create a metapopulation with diversity both within and among the sites. Building and maintaining the diversity of metapopulations when recovering threatened species will reduce pressure on the original source populations and increase the resilience of the species.

post

Making bioinformatics more accessible

by Dr. Kate Farquharson (Post-doc)

In the AWGG lab, we are generating genomic resources for diverse Australian vertebrates, including birds, marsupials, amphibians and reptiles. However, following bioinformatics instructions can sometimes feel a bit like this:

https://theeconomyofmeaning.com/2014/12/07/funny-on-sunday-how-to-draw-an-owl/

And for non-model organisms, it can feel like being asked to draw an owl when you don’t even know what one looks like (or worse, imagine being given a picture of a human as a reference point). So, how do we make bioinformatics more accessible to people getting started? We have been working hard to carefully document our in-house workflows and contribute to public how-to guides, such as the Genome Assembly with Galaxy guide.

Documenting your work not only helps others but can be a useful way to remember what you have done before! Good documentation can help you to train others, present your methods and ensure your analysis is reproducible. Some tips for documenting your work include:

  • Always keep track of the software and versions used
  • Try out an editor such as Visual Studio Code, which allows you to easily insert code and scripts and integrates well with Github
  • Don’t forget your science brain! It can be very easy to follow a tutorial from start to finish but have no idea what the end result means. A few sentences to justify your approach and explain how you interpret your results will help others use your guide correctly

Good documentation is just one step we are working on as part of the Threatened Species Initiative and ARC Centre of Excellence in Peptides and Protein Science to make genomics and bioinformatics more accessible to conservation end-users.

Author

Dr Kate Farquharson is a Postdoctoral Research Associate in Bioinformatics within the ARC Centre of Excellence for Innovations in Peptide & Protein Science. She applies bioinformatic approaches to the assembly and annotation of genomes and transcriptomes of Australian species to identify targets for peptide discovery. Kate completed her PhD in the AWGG lab in 2020, where she used statistical and molecular genetic approaches to investigate adaptation to captivity in conservation breeding programs. Kate specialises in synthesising, analysing and interpreting data, and in communicating results clearly to a range of audiences.