The distribution of antilopine wallaroo, , is marked by a break in the species' range between Queensland and the Northern Territory, coinciding with the Carpentarian barrier. Previous work on revealed limited genetic differentiation between the Northern Territory and Queensland populations across this barrier. The study also identified a number of divergent lineages in the Northern Territory, but was unable to elucidate any geographic structure. Here, we re-examine these results to (1) determine phylogeographic patterns across the range of and (2) infer the biogeographic barriers associated with these patterns. The tropical savannahs of northern Australia: from the Cape York Peninsula in the east, to the Kimberley in the west. We examined phylogeographic patterns in using a larger number of samples and three mtDNA genes: NADH dehydrogenase subunit 2, cytochrome b, and the control region. Two datasets were generated and analyzed: (1) a subset of samples with all three mtDNA regions concatenated together and (2) all samples for just control region sequences that included samples from the previous study. Analysis included generating phylogenetic trees based on Bayesian analysis and intraspecific median-joining networks. The contemporary spatial structure of mtDNA lineages revealed five shallow clades and a sixth, divergent lineage. The genetic differences that we found between Queensland and Northern Territory samples confirmed the split in the geographic distribution of the species. We also found weak genetic differentiation between Northern Territory samples and those from the Kimberley region of Western Australia, possibly due to the Kimberley Plateau-Arnhem Land barrier. Within the Northern Territory, two clades appear to be parapatric in the west, while another two clades are broadly sympatric across the Northern Territory. MtDNA diversity of revealed an unexpectedly complex evolutionary history involving multiple sympatric and parapatric mtDNA clades across northern Australia. These phylogeographic patterns highlight the importance of investigating genetic variation across distributions of species and integrating this information into biodiversity conservation.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5108257 | PMC |
http://dx.doi.org/10.1002/ece3.2381 | DOI Listing |
Biol Rev Camb Philos Soc
January 2025
Wildlife Observatory of Australia (WildObs), Queensland Cyber Infrastructure Foundation (QCIF), Brisbane, Queensland, 4072, Australia.
Camera traps are widely used in wildlife research and monitoring, so it is imperative to understand their strengths, limitations, and potential for increasing impact. We investigated a decade of use of wildlife cameras (2012-2022) with a case study on Australian terrestrial vertebrates using a multifaceted approach. We (i) synthesised information from a literature review; (ii) conducted an online questionnaire of 132 professionals; (iii) hosted an in-person workshop of 28 leading experts representing academia, non-governmental organisations (NGOs), and government; and (iv) mapped camera trap usage based on all sources.
View Article and Find Full Text PDFIntern Med J
January 2025
School of Medicine, Flinders University, Adelaide, South Australia, Australia.
Background: Sepsis-associated acute kidney injury (SA-AKI) is common among patients admitted to the intensive care unit (ICU) with sepsis.
Aims: This study aimed to demonstrate an association between an episode of SA-AKI and progression to dialysis dependence, with a view to identifying a cohort who may be suitable for intensive nephrology follow-up.
Methods: Design: Retrospective data-linkage cohort study.
J Glob Health
January 2025
Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Background: Identifying the modifiable risk factors for childhood mortality using population-attributable fractions (PAFs) estimates can inform public health planning and resource allocation in low- and middle-income countries (LMICs). We estimated PAFs for key population-level modifiable risk factors of neonatal, infant, and under-five mortality in LMICs.
Methods: We used the most recent Demographic and Health Survey data sets (2010-22) from 48 LMICs, encompassing 35 sub-Saharan African countries and 13 countries from South and Southeast Asia (nā=ā506ā989).
Heart
January 2025
Westmead Applied Research Centre, The University of Sydney, Westmead, New South Wales, Australia.
Background: Coronary heart disease (CHD) remains a leading cause of mortality and disability worldwide. Approximately half of the patients who have had a prior hospital admission for CHD will have a recurrent coronary event, with the majority of these occurring within 12 months. Despite well-established evidence-based therapies, medication non-adherence is highly prevalent and reasons for medication non-adherence are poorly understood.
View Article and Find Full Text PDFF1000Res
January 2025
Charles Darwin University Research Institute for the Environment and Livelihoods, Casuarina, Northern Territory, 0909, Australia.
The eastern or Tasmanian bettong ( ) is one of four extant bettong species and is listed as 'Near Threatened' by the IUCN. We sequenced short read data on the 10x system to generate a reference genome 3.46Gb in size and contig N50 of 87.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!