19683 research outputs found
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An NGS approach for the identification of precise homoeologous recombination sites between A and C genomes in Brassica genus
The introgression of heterologous genomes through interspecific hybridization offers a great opportunity to expand the gene pool of crops, thereby broadening the traits that can be targeted for improvement. The intro‐ gression of C genomic regions carrying desirable traits from Brassica napus (AACC) into the diploid B. rapa (AA) via homoeologous recombination (HR) has been commonly used. However, the precise identification of HR sites remains a significant challenge, limiting the practical application of genome introgression via HR in breeding programs. Here, we developed an indicator named ‘Dosage-score’ from the coverage depth of nextgeneration sequencing reads. Then, Dosage-score analysis applied to both in BC1F1 individuals obtained by backcrossing B. rapa to F1 progeny (B. rapa × B. napus) and in the parental lines, and successfully identified the precise HR sites resulting from F1 meiosis as well as those that were native in the parental B. napus genome. Additionally, we introgressed the C6 segment from HR identified by Dosage-score analysis into B. rapa genome background, revealing gene expression on the added segment without noticeable phenotypic change. The identification of HR by Dosage-score analysis will contribute to the expansion of the gene pool for breeding by introgression of heterologous genomes in Brassica crops. </p
Overexpression of the transcription factor ANAC017 results in a genomes uncoupled phenotype under lincomycin
Summary: Over-expression (OE) lines for the ER-tethered NAC transcription factor ANAC017 displayed de-repression of gun marker genes when grown on lincomycin (lin). RNA-seq revealed that ANAC017OE2 plants constitutively expressed greater than 40% of the genes induced in wild-type with lin treatment, including plastid encoded genes ycf1.2 and the gene cluster ndhH-ndhA-ndhI-ndhG-ndhE-psaC-ndhD, documented as direct RNA targets of GUN1. Genes encoding components involved in organelle translation were enriched in constitutively expressed genes in ANAC017OE2. ANAC017OE resulted in constitutive location in the nucleus and significant constitutive binding of ANAC017 was detected by ChIP-Seq to target genes. ANAC017OE2 lines maintained the ability to green on lin, were more ABA sensitive, did not show photo-oxidative damage after exposure of de-etiolated seedlings to continuous light and the transcriptome response to lin were as much as 80% unique compared to gun1-1. Both double mutants, gun1-1:ANAC017OE and bzip60:ANAC017OE (but not single bzip60), have a gun molecular gene expression pattern and result in variegated and green plants, suggesting that ANAC017OE may act through an independent pathway compared to gun1. Over-expression of ANAC013 or rcd1 did not produce a GUN phenotype or green plants on lin. Thus, constitutive ANAC017OE2 establishes an alternative transcriptional program that likely acts through a number of pathways, that is, maintains plastid gene expression, and induction of a variety of transcription factors involved in reactive oxygen species metabolism, priming plants for lin tolerance to give a gun phenotype.</p
Heritage Language Schools, Parents and Communities: A Comparative Study of Marathi and Japanese Schools in Melbourne, Australia
Submitted in total fulfillment of the requirements for the degree of Doctor of Philosophy to the School of Humanities & Social Sciences, La Trobe University, Victoria, Australia.</p
Synthesis of Cage-Amine Molecules as Chelators and Proton Cryptates
A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Agriculture, Biomedicine and Environment, La Trobe University, Victoria, Australia.</p
Theoretical Investigations on the Electronic Structure and Molecular Properties of Carbene-Stabilised Boron Heterocycles and Beryllium Complexes
A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Agriculture, Biomedicine, and Environment, La Trobe University, Victoria, Australia.This thesis was a recipient of the Nancy Millis Award for theses of exceptional merit.</p
Metabolic Phenotyping from Whole-Blood Responses to a Standardized Exercise Test May Discriminate for Physiological, Performance, and Illness Outcomes: A Pilot Study in Highly-Trained Cross-Country Skiers
BACKGROUND: This study used metabolic phenotyping to explore the responses of highly-trained cross-country skiers to a standardized exercise test, which was part of the athletes' routine testing, and determine whether metabolic phenotyping could discriminate specific physiological, performance, and illness characteristics. METHODS: Twenty-three highly-trained cross-country skiers (10 women and 13 men) participated in this study. Capillary whole-blood samples were collected before (at rest) and 2.5 min after (post-exercise) a roller-ski treadmill test consisting of 5-6 × 4-min submaximal stages followed by a self-paced time trial (~ 3 min) and analyzed using mass spectrometry. Performance level was defined by International Ski Federation distance and sprint rankings. Illness data were collected prospectively for 33 weeks using the Oslo Sports Trauma Research Center Questionnaire on Health Problems. Orthogonal partial least squares-discriminant analyses (OPLS-DA) followed by enrichment analyses were used to identify metabolic phenotypes of athlete groups with specific physiological, performance, and illness characteristics. RESULTS: Blood metabolite phenotypes were significantly different after the standardized exercise test compared to rest for metabolites involved in energy, purine, and nucleotide metabolism (all OPLS-DA p < 0.001). Acute changes in the metabolic phenotype from rest to post-exercise could discriminate athletes with: (1) higher vs. lower peak blood lactate concentrations; (2) superior vs. inferior performance levels in sprint skiing, and (3) ≥ 2 vs. ≤ 1 self-reported illness episodes in the 33-week study period (all p < 0.05). The most important metabolites contributing to the distinction of groups according to (1) post-exercise blood lactate concentrations, (2) sprint performance, and (3) illness frequency were: (1) inosine, hypoxanthine, and deoxycholic acid, (2) sorbitol, adenosine monophosphate, and 2-hydroxyleuroylcarnitine, and (3) glucose-6-phosphate, squalene, and deoxycholic acid, respectively. CONCLUSION: Metabolic phenotyping discriminated between athlete groups with higher vs. lower post-exercise blood lactate concentrations, superior vs. inferior sprint skiing performance, and more vs. less self-reported illnesses. While the biological relevance of the identified biomarkers requires validation in future research, metabolic phenotyping shows promise as a tool for routine monitoring of highly-trained endurance athletes
Noise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtain clean point clouds. In this paper, we introduce a novel unsupervised point cloud denoising method that eliminates the need to use clean point clouds as groundtruth labels during training. We demonstrate that it is feasible for neural networks to only take noisy point clouds as input, and learn to approximate and restore their clean versions. In particular, we generate two noise levels for the original point clouds, requiring the second noise level to be twice the amount of the first noise level. With this, we can deduce the relationship between the displacement information that recovers the clean surfaces across the two levels of noise, and thus learn the displacement of each noisy point in order to recover the corresponding clean point. Comprehensive experiments demonstrate that our method achieves outstanding denoising results across various datasets with synthetic and real-world noise, obtaining better performance than previous unsupervised methods and competitive performance to current supervised methods.</p
Weekend / holiday effect on stroke mortality in regional Australia: A ten-year retrospective study
Background: There is a deficiency in the evidence from rural and regional centres in Australia on the weekend effect following presentation with acute stroke. Objective: To estimate the association between admission over a weekend/holiday and all-cause mortality 3-day, 7-day, 14-day, 1-month, 3-month, 6-month, and 12-month following acute stroke. Methods: The records of stroke patients admitted to a main regional hospital in Australia from 2010 to 2020 were linked with the National Death Index. Time to death following ischaemic, haemorrhagic, and total stroke at different time points was modelled using Weibull, Exponential, or Gompertz regression based on best model fit determined by Akaike's information criterion. Results: Of 1669 patients, 1273 (76.3%) were admitted on a weekday, and 396 (23.7%) on a weekend/ or holiday. After adjusting for age, sex, and Charlson Comorbidity Index, stroke type and country of birth, admissions over a weekend/holiday following total stroke were significantly associated with an increased risk of dying within three days from admission [hazard ratio (HR): 1.59, 95% confidence interval: 1.01-2.50]. In haemorrhagic stroke, increased risk of death was significantly higher at three days (HR: 2.19, 95% confidence interval: 1.17-4.08), 14 days (HR: 1.73, 95% confidence interval: 1.02-2.93), and 1 month (HR: 1.82, 95% confidence interval: 1.09-3.03) following admission on the weekend/ or holiday compared to those admitted during the weekdays. Conclusions: This study reports a short-term adverse weekend/holiday effect following admission for haemorrhagic stroke or total stroke. No significant weekend/holiday effect was found in ischaemic stroke
Using nominal group technique with people who are incarcerated in Canadian federal prisons to identify barriers and solutions to improving Prison Needle Exchange Program uptake
Background: Prison needle exchange programs (PNEPs) are a critical component for harm reduction in prisons. Little is known about the PNEP access barriers for people who are incarcerated, but the low uptake in the Canadian program highlights these constraints. We aimed to identify the barriers and potential solutions for increasing PNEP coverage in the nine Canadian federal prisons where they operate. Methods: Eighteen focus groups were conducted in nine prisons using nominal group technique (NGT) with two stakeholders: peer advocates and people who use or identified as potential users of the PNEP. NGT uses a round-robin technique followed by generating a list of barriers to PNEP enrolment within their prison. Participants then allocated votes to rank the highest priority barriers, followed by an identical process to generate solutions to address the top three barriers. Interview transcripts describing participant narratives during this process were de-identified and coded to generated themes. Barriers and solutions receiving >10 % of votes within respective participant groups, alongside associated narratives, are discussed more fully. Results: Fear of repercussions due to drug use, lack of confidentiality, and fear of being targeted and sanctioned by correctional authorities were perceived by both stakeholder groups as the top barriers inhibiting PNEP enrolment. Stigma (peer advocates) and the application process for the program (PNEP users) were also ranked as a priority. Proposed solutions included education and external oversight of PNEP (i.e., not via correctional officers) by both groups. Peer advocates regarded improving participant confidentiality and a supervised/safe injection site as potential enablers for program participation, while PNEP users identified wrap-around services as likely to improve access. Conclusion: Barriers to increasing PNEP coverage in Canadian federal prisons proposed by participants highlight the importance of trust and perceived repercussions surrounding program participation. These barriers and proposed solutions highlight a need for changes in implementation to PNEP delivery if the potential health benefits of PNEPs are to be realised
DOSage of Exercise for chronic low back pain disorders (DOSE): protocol for a systematic review with dose-response network meta-analysis
Chronic low back disorders are the leading cause of direct and indirect healthcare burden globally. Exercise training improves pain intensity, mental health and physical function. However, the optimal prescription variables are unknown. We aim to compare the efficacy of various exercise dosages for chronic low back disorders to identify the optimal prescription variables. Six databases (Medline, SPORTDiscus, CINAHL, PsycINFO, EMBASE and CENTRAL), trial registries (ClinicalTrials.gov and WHO International Clinical Trials Registry Platform) and reference lists of prior systematic reviews will be searched, and we will conduct forward and backward citation tracking. We will include peer-reviewed randomised controlled trials (individual, cluster or cross-over trials) published in English or German language comparing exercise training to other exercise training or non-exercise training interventions (conservative, non-surgical, non-pharmacological, non-invasive treatments, placebo, sham, usual/standard care, no-treatment control, waitlist control) in adults with chronic low back disorders. Outcomes will include pain intensity, disability, mental health, adverse events, adherence rate, dropout rate and work capacity. Version 2 of the Cochrane risk-of-bias tool will be employed. The dose will be categorised as cumulative dose (total and weekly minutes of exercise training) and individual dose prescription variables (intervention duration, session duration, frequency and intensity). Dose-response model-based network meta-analysis will be used to assess the comparative efficacy of different exercise doses to determine a dose-response relationship. The certainty of evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation. Information about optimal exercise training dosage will help in enhancing treatment outcomes