https://novaprd-lb.newcastle.edu.au/vital/access/manager/Index ${session.getAttribute("locale")} 5 https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44664 Wed 24 May 2023 10:47:49 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:26168 Wed 15 Feb 2017 12:29:26 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:50275 Wed 12 Jul 2023 15:07:08 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:25928 −9) more prevalent in genomic regions that are likely to have undergone recent positive selection in humans (i.e., with a low NSS score). Variants in brain-related genes with a low NSS score confer significantly higher susceptibility than variants in other brain-related genes. The enrichment is strongest for schizophrenia, but we cannot rule out enrichment for other phenotypes. The false discovery rate conditional on the evolutionary proxy points to 27 candidate schizophrenia susceptibility loci, 12 of which are associated with schizophrenia and other psychiatric disorders or linked to brain development. Conclusions: Our results suggest that there is a polygenic overlap between schizophrenia and NSS score, a marker of human evolution, which is in line with the hypothesis that the persistence of schizophrenia is related to the evolutionary process of becoming human.]]> Wed 12 Aug 2020 09:42:59 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:15329 Wed 11 Apr 2018 16:36:40 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:15741 Wed 11 Apr 2018 16:00:46 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:7786 Wed 11 Apr 2018 14:37:33 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:14811 Wed 11 Apr 2018 14:25:00 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:17067 Wed 11 Apr 2018 13:34:22 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:2961 Wed 11 Apr 2018 12:08:55 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:6073 Wed 11 Apr 2018 10:24:00 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9312 Wed 11 Apr 2018 10:09:51 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24667 Wed 11 Apr 2018 10:03:03 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:33337 Wed 06 Apr 2022 14:02:17 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:33124 −1 spectral resolution. In this paper, we present data on the inner ~250 pc (1°4) between Sgr C and Sgr B2. We focus on the hyperfine structure of the metastable ammonia inversion lines (J, K) = (1, 1)–(6, 6) to derive column density, kinematics, opacity, and kinetic gas temperature. In the CMZ molecular clouds, we find typical line widths of 8–16 km s⁻¹ and extended regions of optically thick (τ > 1) emission. Two components in kinetic temperature are detected at 25–50 K and 60–100 K, both being significantly hotter than the dust temperatures throughout the CMZ. We discuss the physical state of the CMZ gas as traced by ammonia in the context of the orbital model by Kruijssen et al. that interprets the observed distribution as a stream of molecular clouds following an open eccentric orbit. This allows us to statistically investigate the time dependencies of gas temperature, column density, and line width. We find heating rates between ~50 and ~100 K Myr⁻¹ along the stream orbit. No strong signs of time dependence are found for column density or line width. These quantities are likely dominated by cloud-to-cloud variations. Our results qualitatively match the predictions of the current model of tidal triggering of cloud collapse, orbital kinematics, and the observation of an evolutionary sequence of increasing star formation activity with orbital phase.]]> Wed 04 Sep 2019 10:06:16 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:34329 ⋆) ≤ 11 M_⊙ in projected densities 0 ≤ Σ₅ < 3 galaxies Mpc⁻², all Hɪ fractions of galaxies near filaments are statistically indistinguishable from the control sample. Galaxies with stellar masses log(M_⋆) ≥ 11 M_⊙ have a systematically higher Hɪ fraction near filaments than the control sample. The greatest difference is 0.75 dex, which is 5.5θ difference at mean projected densities of 1.45 galaxies Mpc⁻². We suggest that this is evidence for massive galaxies accreting cold gas from the intrafilament medium that can replenish some Hɪ gas. This supports cold mode accretion where filament galaxies with a large gravitational potential can draw gas from the large-scale structure.]]> Wed 04 Sep 2019 09:39:57 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:35422 Tue 30 Jul 2019 09:58:39 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:53966 4 and DNA damage repair), with the relevance of this to the UV sensitivity of folate and UV photosynthesis of vitamin D explained in detail, including the relevance of these vitamins to reproductive success. It explores whether we might be able to predict vitamin‐related gene polymorphisms that pivot metabolism to the prevailing UVR exposome within the vitamin D‐folate evolutionary hypothesis context. This is discussed in terms of a primary adaptive phenotype (pigmentation/depigmentation), a secondary adaptive phenotype (flexible metabolic phenotype based on vitamin‐related gene polymorphism profile), and a tertiary adaptive strategy (dietary anti‐oxidants to support the secondary adaptive phenotype). Finally, alternative evolutionary models for pigmentation are discussed, as are challenges to future research in this area.]]> Tue 23 Jan 2024 14:38:17 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44763 Pseudomonas is a large and diverse genus of Gammaproteobacteria. To provide a framework for discovery of evolutionary and taxonomic relationships of these bacteria, we compared the genomes of type strains of 163 species and 3 additional subspecies of Pseudomonas, including 118 genomes sequenced herein. A maximum likelihood phylogeny of the 166 type strains based on protein sequences of 100 single-copy orthologous genes revealed thirteen groups of Pseudomonas, composed of two to sixty three species each. Pairwise average nucleotide identities and alignment fractions were calculated for the data set of the 166 type strains and 1224 genomes of Pseudomonas available in public databases. Results revealed that 394 of the 1224 genomes were distinct from any type strain, suggesting that the type strains represent only a fraction of the genomic diversity of the genus. The core genome of Pseudomonas was determined to contain 794 genes conferring primarily housekeeping functions. The results of this study provide a phylogenetic framework for future studies aiming to resolve the classification and phylogenetic relationships, identify new gene functions and phenotypes, and explore the ecological and metabolic potential of the Pseudomonas spp.]]> Tue 08 Nov 2022 11:16:28 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:53494 Thu 30 Nov 2023 15:44:11 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:37482 Thu 28 Jan 2021 17:29:50 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:31529 Thu 21 Oct 2021 12:53:08 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:36893 40% (or about 30 kg per carcass per lion). Lions killed significantly more cattle in nonfortified enclosures than in the veldt, although this was influenced by surplus killing. Our results suggest that cattle predation by lions is driven by availability and cavalier husbandry practices, coupled with morphological features associated with facilitating easy husbandry. Cattle no longer exhibit the key features that enabled their ancestors to coexist with large predators and are now reliant upon humans to perform critical antipredator activities. Hence, the responsibility for mitigating human–wildlife conflict involving lions and cattle lies with people in either breeding traits that minimise predation or adequately protecting their cattle.]]> Thu 21 Oct 2021 12:52:41 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:40081 Thu 14 Jul 2022 11:54:12 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44419 Thu 13 Oct 2022 09:51:45 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:48862 Thu 13 Apr 2023 13:22:48 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:42725 Thu 01 Sep 2022 13:18:22 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:8224 Sat 24 Mar 2018 08:40:37 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:9649 Sat 24 Mar 2018 08:35:25 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:7260 Sat 24 Mar 2018 08:33:52 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:19094 Sat 24 Mar 2018 08:05:24 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:19625 Sat 24 Mar 2018 07:58:16 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:6006 Sat 24 Mar 2018 07:48:30 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:6433 Sat 24 Mar 2018 07:45:18 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:30596 Sat 24 Mar 2018 07:28:24 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:3430 Sat 24 Mar 2018 07:20:26 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:24791 Sat 24 Mar 2018 07:14:05 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:18686 Mon 20 Jul 2015 17:34:36 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:44536 2 (PLA₂), and L-amino acid oxidase (LAAO) – in the venom of 39 species of Australian elapids (40% of terrestrial species diversity) and used linear parsimony and BayesTraits to investigate any correlation between enzyme activity and phylogeny or diet. Results: PLA₂ activity ranged from 0 to 481 nmol/min/mg of venom, and LAAO activity ranged from 0 to 351 nmol/min/mg. Phylogenetic comparative methods, implemented in BayesTraits showed that enzyme activity was strongly correlated with phylogeny, more so for LAAO activity. For example, LAAO activity was absent in both the Vermicella and Pseudonaja/Oxyuranus clade, supporting previously proposed relationships among these disparate taxa. There was no association between broad dietary categories and either enzyme activity. There was strong evidence for faster initial rates of change over evolutionary time for LAAO (delta parameter mean 0.2), but no such pattern in PLA₂ (delta parameter mean 0.64). There were some exceptions to the phylogenetic patterns of enzyme activity: different PLA₂ activity in the ecologically similar sister-species Denisonia devisi and D. maculata; large interspecific differences in PLA₂ activity in Hoplocephalus and Austrelaps. Conclusions: We have shown that phylogeny is a stronger influence on venom enzyme activity than diet for two of the four major enzyme families present in snake venoms. PLA₂ and LAAO activities had contrasting evolutionary dynamics with the higher delta value for PLA₂ Some species/individuals lacked activity in one protein family suggesting that the loss of single protein family may not incur a significant fitness cost.]]> Mon 17 Oct 2022 09:03:36 AEDT ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:39205 3) compared with enzymes from other organisms. The size of the active site did not correlate well with substrate size, however, the "Gatekeeper" amino acid residues within the active site were strongly correlated to enzyme phylogeny. Our study provides unprecedented insight into the distribution, diversity, and molecular evolution of cyanobacterial type III PKSs, which could facilitate the discovery, characterization, and exploitation of novel enzymes, biochemical pathways, and specialized metabolites from this biosynthetically talented clade of microorganisms.]]> Fri 27 May 2022 09:52:31 AEST ]]> https://novaprd-lb.newcastle.edu.au/vital/access/manager/Repository/uon:32088 Galaxy Evolution Explorer near-ultraviolet (NUV) galaxy photometry with the Sloan Digital Sky Survey group catalogue of Yang et al. We compared the (NUV − r) colours of grouped and non-grouped galaxies, and find a significant increase in the fraction of red sequence galaxies with blue (NUV − r) colours outside of groups. When comparing galaxies in mass-matched samples of satellite (non-central), and non-grouped galaxies, we found a >4σ difference in the distribution of (NUV − r) colours, and an (NUV − r) blue fraction >3σ higher outside groups. A comparison of satellite and non-grouped samples has found the NUV fraction is a factor of ∼2 lower for satellite galaxies between 10^10.5 and 10^10.7,M _⊙, showing that higher mass galaxies are more likely to have residual star formation when not influenced by a group potential. There was a higher (NUV − r) blue fraction of galaxies with lower Sérsic indices (n < 3) outside of groups, not seen in the satellite sample. We have used stellar population models of Bruzual & Charlot with multiple burst, or exponentially declining star formation histories to find that many of the (NUV − r) blue non-grouped galaxies can be explained by a slow (∼2 Gyr) decay of star formation, compared to the satellite galaxies. We suggest that taken together, the difference in (NUV − r) colours between samples can be explained by a population of secularly evolving, non-grouped galaxies, where star formation declines slowly. This slow channel is less prevalent in group environments where more rapid quenching can occur.]]> Fri 27 Apr 2018 15:08:51 AEST ]]>