Evidence map›Paper›PMID 39611546›Full record

ArticleEcological applications : a publication of the Ecological Society of America2025

Genomics identifies koala populations at risk across eastern Australia.

Elspeth A McLennan, Toby G L Kovacs, Luke W Silver, Zhiliang Chen, Frederick R Jaya, Simon Y W Ho, Katherine Belov, Carolyn J Hogg

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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  8. Genomics identifies koala populations at risk across eastern Australia.Ecological applications : a publication of the Ecological Society of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Elspeth A McLennanSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6872-8597
Toby G L KovacsSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0001-5322-7928
Luke W SilverSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-1718-5756
Zhiliang ChenIllumina Australia and New Zealand, Melbourne, Victoria, Australia.
Frederick R JayaSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-4019-7026
Simon Y W HoSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-0361-2307
Katherine BelovSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-9762-5554
Carolyn J HoggSchool of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-6328-398X

Funding

Amazon Web ServicesAustralian Government Bushfire Bushfire Recovery for Wildlife and their Habitats Program GA-2000526IlluminaNew South Wales GovernmentRamaciotti Centre for GenomicsThe University of Sydney
6 · The paper itself

Abstract

Koalas are an iconic, endangered, Australian marsupial. Disease, habitat destruction, and catastrophic mega-fires have reduced koalas to remnant patches of their former range. With increased likelihood of extreme weather events and ongoing habitat clearing across Australia, koala populations are vulnerable to further declines and isolation. Small, isolated populations are considered at risk when there is increased inbreeding, erosion of genomic diversity, and loss of adaptive potential, all of which reduce their ability to respond to prevailing threats. Here, we characterized the current genomic landscape of koalas using data from The Koala Genome Survey, a joint initiative between the Australian Federal and New South Wales Governments that aimed to provide a future-proofed baseline genomic dataset across the koala's range in eastern Australia. We identified several regions of the continent where koalas have low genomic diversity and high inbreeding, as measured by runs of homozygosity. These populations included coastal sites along southeast Queensland and northern and mid-coast New South Wales, as well as southern New South Wales and Victoria. Analysis of genomic vulnerability to future climates revealed that northern koala populations were more at risk due to the extreme expected changes in this region, but that the adaptation required was minimal compared with other species. Our genomic analyses indicate that continued development, particularly linear infrastructure along coastal sites, and resultant habitat destruction are causing isolation and subsequent genomic erosion across many koala populations. Habitat protection and the formation of corridors must be employed for all koala populations to maintain current levels of diversity. For highly isolated koala populations, active management may be the only way to improve genomic diversity in the short term. If koalas are to be conserved for future generations, reversing their genomic isolation must be a priority in conservation planning.

Indexed as

Genetic VariationGenomeGenomicsPhascolarctidaeAnimalsAustraliaConservation of Natural Resourcesgenomic diversitygenomic vulnerabilityhabitat destructioninbreedingkoalawhole genome re‐sequencing

Identifiers

PMID39611546
PMCPMC11736093

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.