Litticia M. Bryant
Queensland University of Technology
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Publication
Featured researches published by Litticia M. Bryant.
Zoologica Scripta | 2011
Litticia M. Bryant; Steve C. Donnellan; David A. Hurwood; Susan Fuller
Bryant, L. M., Donnellan, S. C., Hurwood, D. A. & Fuller, S. J. (2011). Phylogenetic relationships and divergence date estimates among Australo‐Papuan mosaic‐tailed rats from the Uromys division (Rodentia: Muridae). —Zoologica Scripta, 40, 433–447.
Scientific Reports | 2017
Matthew N. Krosch; Litticia M. Bryant; Sue Vink
Understanding the molecular mechanisms of organismal response to human-derived ecosystem change is recognised as a critical tool in monitoring and managing impacts, especially in freshwater systems. Fundamental to this approach is to determine the genes involved in responding to ecosystem change and detect modifications to their expression and activity in natural populations. Potential targets for this approach include well-known detoxification genes that are upregulated in response to stress. Here, we tested whether expression of such genes varied in association with differences in ecosystem health and could be detected in the field. We sampled populations of the freshwater midge, Cricotopus draysoni, from two geographically proximate sites in southeast Queensland, Australia, which differed in their ecosystem health, at multiple time points. We assessed transcriptome-level differential gene expression and predicted greatest differential expression between sites, associated with organismal responses to local physico-chemical factors. In contrast, we observed a clear and dramatic difference in gene expression – including of known detoxification genes – between time points, specifically between periods at the start and end of the austral summer rainfall when in-stream water levels are most different. These data suggest that these waterways experience greatest pollution load when water levels are high following rainfall events.
Journal of Animal Science | 2017
Murad Hasan Kheder; Martin N. Sillence; Litticia M. Bryant; M. A. de Laat
Metabolic disease is a significant problem that causes a range of species-specific comorbidities. Recently, a better understanding of glucose-dependent insulinotropic polypeptide (GIP) biology has led to the suggestion that inhibiting its action may attenuate obesity in several species. In horses, antagonism of GIP may also reduce hyperinsulinemia, which leads to insulin-associated laminitis, a painful comorbidity unique to this species. However, little is known about GIP in horses. The aims of this study were to examine the tissue distribution of equine GIP receptors (eGIPR), to determine whether eGIPR can be blocked using a GIP antagonist not tested previously in horses, and to establish whether there is any association between GIP concentrations and body mass in this species. Archived tissues from healthy horses were used to establish that eGIPR gene expression was strong in pancreas, heart, liver, kidney, and duodenum and absent in gluteal muscle. Pancreatic islets were isolated from fresh horse pancreas using collagenase digestion and layering through a density gradient. Islet viability was confirmed microscopically and by demonstrating that insulin production was stimulated by glucose in a concentration-dependent manner. Insulin release was also shown to be concentration-dependent with GIP up to 0.1µM, and the response to GIP was decreased ( = 0.037) by the antagonist (Pro3)GIP. As for the relationship between body mass and GIP in vivo postprandial GIP concentrations in archived plasma samples were positively correlated with body condition and cresty neck scores ( < 0.05). Thus, the eGIPR is a potential therapeutic target for insulin dysregulation and obesity in horses.
Invertebrate Systematics | 2017
Matthew N. Krosch; Peter S. Cranston; Litticia M. Bryant; Francesca Strutt; Scott R. McCluen
Abstract. A dated molecular phylogeny is proposed for the Tanypodinae, a diverse subfamily of Chironomidae (Diptera). We used molecular data from fragments of one ribosomal gene (28S), one nuclear protein-coding gene (CAD), and one mitochondrial protein-coding gene (COI), analysed using mixed model Bayesian and maximum likelihood inference methods. All proposed tribes were sampled, namely, Anatopyniini, Clinotanypodini, Coelopyniini, Fittkauimyiini, Macropelopiini, Natarsiini, Pentaneurini, Procladiini and Tanypodini. A multilocus dataset of 1938 characters was compiled from 123 individuals including outgroups. Monophyly was supported for all tribes although some relationships were not robust. Relationships between tribes and some genus groups are highly congruent with a morphology-based estimate. Relationships within tribe Pentaneurini mostly find weak support, yet previously hypothesised groupings and monophyly or lack thereof in well-sampled genera are revealed. The tempo of diversification of the family was deduced by divergence time analysis (BEAST). Origination of a subfamily stem group in the late Jurassic to early Cretaceous was inferred, with all tribes and many genera of Pentaneurini originating and diversifying in the Cretaceous. Some nodes are biogeographically informative. Gene sections supported the backbone, but more extensive sampling is needed to estimate shallower phylogenies and to better understand the tempo and diversification of Tanypodinae.
Biological Journal of The Linnean Society | 2016
Litticia M. Bryant; Matthew N. Krosch
Journal of Biogeography | 2014
Litticia M. Bryant; Susan Fuller
CHIRONOMUS Journal of Chironomidae Research | 2015
Matthew N. Krosch; Litticia M. Bryant
School of Earth, Environmental & Biological Sciences; Science & Engineering Faculty | 2013
Litticia M. Bryant
Science & Engineering Faculty | 2017
Matthew N. Krosch; Peter S. Cranston; Litticia M. Bryant; Francesca Strutt; Scott R. McCluen
Science & Engineering Faculty | 2016
Litticia M. Bryant; Matthew N. Krosch