IntroductionAccurately quantifying the diet of species has implications for our understanding of their ecology and conservation. Yet, determining the dietary composition of threatened and elusive species in the wild is often difficult.MethodsThis study presents the first dietary assessment of tjakura (Liopholis kintorei) using non-invasive sampling of scats and high-throughput sequencing techniques.ResultsThe tjakura in Uluru consumed 48 invertebrates, 27 plants, and two vertebrate taxa. Fruit flies (Leucophenga spp.), beetles (Harpalus spp. and Omorgus spp.), mosquitos (Culicidae spp.), termites (Termitidae spp.), spiked mallow (Malvastrum americanum), bush tomatoes (Solanum centrale), and wild turnip (Brassica tournefortii) comprised the majority of the diet. Analysis of similarity revealed that food items did not differ significantly between tjakura age groups, seasons, or time since the last fire, however, adults, hot season, and fire scar of 2018 showed a relatively higher prey diversity.DiscussionThese high similarities in diet composition between age classes and fire scars indicate potential intraspecific competition when food resources are scarce. The diet diversity and potential plasticity observed in this study reflect a dietary ecology influenced by food availability rather than preference. Our study demonstrates that scat DNA metabarcoding is an important complementary tool to conventional scat analysis or indigenous knowledge as most food items we identified were previously not recorded through those methods.

The complete mitochondrial genome (mitogenome) of the tjaku□a, Liopholis kintorei was obtained using next-generation sequencing, making it the first recorded mitogenome of the genus Liopholis and the Tiliquini . The mitogenome is 16,844bp in length with a base composition of A (31.7%), T (24.4%), G (14.6%), and C (29.3%) and a G + C content of 43.9%. The genome contains 13 protein-coding genes, 22 transfer RNA genes, two ribosomal RNA genes (12S and 16S), and three non-coding fragments, consisting of the putative control region and two mitochondrially encoded heavy strand origin of replication region (OriH). The gene order is identical to that of typical skink mitogenomes. This genomic resource will provide valuable information for genetic studies of this genus and contribute to the growing collection of mitogenomes within the family Scincidae. ### Competing Interest Statement The authors have declared no competing interest.

Geographic overlap of Olive-backed Oriole O. sagittatus and the Green Oriole O. flavocinctus is extensive in northern Australia, but they generally are separated by habitat. They overlap in New Guinea, however, where their habitat distinction is much reduced. Genetic methods in an earlier study detected unexpected hybridisation between the two species in New Guinea. Here, we ask whether hybridisation between the two species may have gone unnoticed in northern Australia, whether genetic methods again may detect it, and whether this may relate to habitat management and conservation. We find no evidence for hybridisation in Australia and conclude that its occurrence in New Guinea is indeed likely related to the reduced habitat distinction between the two species there relative to their range in Australia. We also examine taxonomic corollaries of our genomic data.

Khapra beetle, Trogoderma granarium Everts, 1898, is a serious pest of stored grain products globally. Environmental DNA (eDNA)-based methods offer sensitive detection tools used to inform biosecurity officers on the presence of high-risk pests. This study tested laboratory and portable molecular technologies to detect khapra beetle environmental DNA extracted from dust samples collected during biosecurity responses (Tuggeranong and Fyshwick) to khapra beetle incursions in Australia. Airborne and floor dust samples were collected opportunistically using handheld vacuum cleaners and eDNA was extracted using either field or laboratory-based extraction methods and analyzed using laboratory benchtop real time PCR machines and portable machines with two TaqMan and one LAMP-based assay. We successfully collected, extracted, and amplified khapra beetle eDNA from dust samples by qPCR, but failed to amplify T. granarium eDNA using LAMP. The Laboratory qPCR machine showed significantly higher mean Ct values ( p < 0.001) and significantly higher positive detections for both assays ( p < 0.001) compared to the portable thermocycler. DNA yield was significantly higher in samples extracted using laboratory-based kits compared to field kits ( p < 0.001) for both vacuumed and airborne samples (Mean DNA ± S.D. = 5.52 ± 4.45 and 4.77 ± 1.68 ng/μL, respectively), compared to field kits, (1.75 ± 1.17 and 1.36± 1.29 ng/μL for vacuumed and airborne samples, respectively). There were no significant differences in DNA yield between collection methods or differences in amplification associated to extraction or collection methods in either platform tested in this study. Portable technologies tested in this study (Franklin™ Real Time Thermocycler and Genie III) accurately amplified all tissue derived DNA during assay optimisation and field testing, highlighting the capacity of these technologies to complement biosecurity in confirming specimen ID. There was a high incidence of positive detections in field negative controls (Tuggeranong = 12.3 % and Fyshwick = 50 %), mostly attributed to the use of contaminated vacuum cleaners. We discuss suitable methods to minimize sample cross-contamination, the potential of portable molecular technologies as tools for biosecurity applications, and the suitability of eDNA-based molecular detection methods to complement global trade biosecurity for one of the most invasive and important grain pests worldwide.

Single Nucleotide Polymorphisms (SNPs) are now popular for a myriad of applications in animal and plant species including, ancestry assignment, conservation genetics, breeding, and traceability of animal products. The objective of this study was to develop a customized cost-effective SNP panel for genetic characterisation of Macrobrachium species in Cameroon. The SNPs identified in a previous characterization study were screened as viable candidates for the reduced panel. Starting from a full set of 1,814 SNPs, a total of 72 core SNPs were chosen using conventional approaches: allele frequency differentials, minor allele frequency profiles, and Wright’s Fst statistics. The discriminatory power of reduced set of informative SNPs were then tested using the admixture analysis, principal component analysis, and discriminant analysis of principal components. The panel of prioritised SNP markers (i.e., N = 72 SNPs) distinguished Macrobrachium species with 100% accuracy. However, large sample size is needed to identify more informative SNPs for discriminating genetically closely related species, including M. macrobrachion versus M. vollenhovenii and M. sollaudii versus M. dux. Overall, the findings in this study show that we can accurately characterise Macrobrachium using a small set of core SNPs which could be useful for this economically important species in Cameroon. Given the results obtained in this study, a larger independent validation sample set will be needed to confirm the discriminative capacity of this SNP panel for wider commercial and research applications.

Resource availability is a key component in animal ecology, yet the manner in which carnivore populations respond to spatial and temporal fluctuations of resources remains unclear. We take a population‐level approach to determine how resource pulses, in this case a temporary hyper‐abundance of prey, influence the densities and space‐use of cheetahs Acinonyx jubatus. The Maasai Mara in Kenya experiences an annual migration of > 1.4 million wildebeest Connochaetes taurinus and large numbers of zebras Equus quagga and Thomson's gazelle Eudorcas thomsonii thereby providing a natural experiment to examine the influence of resource pulses on carnivore movement and densities. To draw inferences on fluctuating cheetah densities and space‐use, we collected unstructured search‐encounter data during eight sampling sessions, four during and four out of the migration, and analysed these using Bayesian spatially‐explicit capture–recapture (SECR) models with sex‐specific detection function parameters. Both densities and space‐use fluctuated seasonally but this varied according to sex. Local cheetah densities increased in areas and during times when prey abundance was highest but this was more pronounced for females than males. In terms of space‐use, movements were larger during the migration than out of the migration but this was more pronounced for males than females. These results suggest that males are influenced more by resource distribution whereas females by resource abundance. Overall densities did vary but there was no clear pattern in relation to resource pulses. Understanding the behavioural drivers of population dynamics in relation to resource pulses can provide important insights into ecological processes at multiple ecological levels.

Dietary composition is a fundamental part of animal ecology and an important component of population dynamics. Therefore, obtaining accurate information on what an animal consumes is important for conservation planning, especially for wild large carnivores that exist in human-dominated landscapes where they are prone to direct conflicts with local people. We used faecal DNA metabarcoding to identify the vertebrate taxa commonly predated on by cheetahs (Acinonyx jubatus) with an emphasis on domestic taxa and determine the drivers of livestock predation by cheetahs residing in the Maasai Mara and Amboseli ecosystems which are important population strongholds in southern Kenya. From 84 cheetah faeces that we analysed, a total of 14 prey taxa were identified, including birds, wild and domestic mammals. The livestock taxa identified in cheetah faeces occurred at moderate frequency (12.8%) and the results showed that livestock predation was influenced neither by the sex of the cheetah nor by season. In general, our study shows that cheetahs prey on a diverse range of prey taxa including birds, wild ungulates of various sizes and occasionally on domestic animals, and that the faecal DNA metabarcoding approach represents a valuable complement to traditional dietary analysis methods.

The black rhino sanctuaries system has played a key role in repopulating and starting new subpopulations in Kenya. If this system is efficiently managed it may save the black rhinoceros from local extinction. Understanding the genetic status of endangered species is the most elemental sine qua non of animal breeding and conservation. It is therefore important to determine the genetic diversity of black rhino populations, especially of nucleus breeding populations that are used as a source of individuals for translocation and supplementation programs. We assessed the genetic diversity of one of the pioneer breeding subpopulations of the black rhino Diceros bicornis in Kenya using a mitochondrial DNA D-loop region. We then compared this subpopulation with the entire Kenyan population to determine its status vis-a-vis the Kenya pooled population and determine the possible sources/relationships of the founder individuals. In the 469-bp D-loop region we analyzed, 7.11% of the sites were variants, contributing to 18 distinct haplotypes. Estimates of genetic diversity using haplotype and nucleotide diversity metrics showed that the Lake Nakuru National Park subpopulation has a slightly lower genetic diversity when compared with that of the pooled Kenya population. The phylogenetic tree revealed that Lake Nakuru National Park founder individuals were probably sourced from multiple subpopulations. The dendrogram and the principal coordinate analysis plot indicated that the Maasai Mara subpopulation is not a distinct subpopulation, as had been suggested previously. Our results provide baseline genetic data for the Lake Nakuru National Park breeding subpopulation and valuable information for translocation/supplementation programs.

Scat DNA metabarcoding is increasingly being used to track the feeding ecology of elusive wildlife species. This approach has greatly increased the resolution and detection success of prey items contained in scats when compared with other classical methods. However, there have been few studies that have systematically tested the applicability and reliability of this approach to study the diet of large felids species in the wild. Here we assessed the effectiveness of this approach in the cheetah Acinonyx jubatus. We tested how scat degradation, meal size, prey species consumed and feeding day (the day a particular prey was consumed) influenced prey DNA detection success in captive cheetahs. We demonstrated that it is possible to obtain diet information from 60-day old scats using genetic approaches, but the efficiency decreased over time. Probability of species-identification was highest for food items consumed one day prior to scat collection and the probability of being able to identify the species consumed increased with the proportion of the prey consumed. Detection success varied among prey species but not by individual cheetah. Identification of prey species using DNA detection methods from a single consumption event worked for samples collected between 8 and 72 hours post-feeding. Our approach confirms the utility of genetic approaches to identify prey species in scats and highlight the need to account for the systematic bias in results to control for possible scat degradation, feeding day, meal size and prey species consumed especially in the wild-collected scats.

Competition is an important ecological factor influencing the population dynamics of carnivores especially as shifts in prey selection could have negative consequences for other members of the carnivore guild. It is therefore important to determine a species' resource requirements to help understand the potential degree and consequences of competition. Cheetahs Acinonyx jubatus compete over resources with larger carnivores, such as lions Panthera leo. While cheetahs generally favour smaller prey than lions, male cheetahs frequently occur in coalitions and are larger than solitary females. This could result in male cheetahs killing larger prey and potentially competing more directly with lions than female cheetahs. To determine the potential for both intra- and interspecific competition, we analysed data on 194 cheetah and 214 lion kills, and compared the feeding ecology of four cheetah social groups: single females, females with cubs, single males and male coalitions to that of lions in the Maasai Mara, Kenya. The results show that the greatest potential for interspecific competition is between male cheetahs, especially those in coalitions, and lions. Intraspecific competition is most likely to occur between singleton females and females with cubs. Understanding these ecological relationships is key, especially when prey become scarce.

Black rhinoceros (Diceros bicornis) are highly endangered due to poaching and other anthropological reasons and their protection to rebound the numbers and genetic improvement are necessary remedial measures defined by Rhino International Union of Conservation for the Nature Red List (IUCN). In Kenya black rhino numbers declined from approximately 20,000 in the 1970s to fewer than 400 in 1982. Wildlife conservation managers effected strategies to manage/breed the remaining rhinoceros populations in Eastern and Southern Africa within regional sanctuaries. This study analyzes the genetic variability of these remnant rhinoceros using Mitochondrial DNA (mtDNA). Majority of the rhinoceros in both Kenyan and Southern Africa group are monophyletic clusters with insignificant genetic variations while some lineages are underrepresented. The Eastern Africa rhinoceros forms a distinct clade from the Sothern Africa counterpart while Tanzania population has admixtures. Tajima-D test showed that these two populations are under different selection pressure possibly due to different history of adverse anthropologic activities. Similarly, the Southern Africa rhinoceros have low genetic diversity compared to the Eastern African population due to extended periods of game hunting during Africa colonization. This study suggests that managed translocations of individual rhinoceros across the separated fragments can be applied to improve their genetic diversity.

Drastic decline of the black rhinoceros population both in numbers and range distribution have created a puzzle on its long term survival. We developed simulation models to identify crucial anthropogenic parameters that are essential for the successful development of conservation actions of this species in Lake Nakuru National Park under different scenarios. The roles of multiple anthropogenic parameters were evaluated to assess changes affecting population declines and extinction risk. Population Viability Analysis (PVA) simulations were done using individualbased program. A baseline simulation allowed for the assessment of the status of the species based on estimates of extinction risk and population declines under current conditions of abundance and habitat availability. The baseline simulation showed that Lake Nakuru National Park subpopulation has 0.00 probability of extinction during the next seventy five years. However, continuing threats, including declines in abundance and browse unavailability, make this species highly vulnerable to any change. Sensitivity analysis of anthropogenic impacts showed that small increases in habitat loss (2%) and population harvesting (3%) had drastic effects on population decline with a 100% probability of extinction. Our findings shows the need for conservation actions aimed at preventing poaching activities, modulating translocation programs and promoting the conservation of available black rhino habitats.