https://cgb.org.au/latest-news/2018-02-16T09:55:24+00:00weekly0.6https://cgb.org.au/2018/02/16/how-do-mutations-affect-growth-and-fermentation-rates-in-yeast/https://geometricbiology.files.wordpress.com/2018/02/ayishaheatmap.pngAyishaHeatMapA ‘heat map’ showing the amount of ethanol produced for each of the six strains of the yeast S. cerevisiae at different nitrogen and glucose concentrations. 2018-02-16T09:53:17+00:00monthlyhttps://cgb.org.au/about/annual-report-2017/https://geometricbiology.files.wordpress.com/2018/02/dustinandcraig.jpgDustinAndCraighttps://geometricbiology.files.wordpress.com/2018/02/annualreportswish1.jpgAnnualReportSwish2018-02-12T09:54:14+00:00weekly0.6https://cgb.org.au/2018/02/12/directors-message/2018-02-12T09:49:49+00:00monthlyhttps://cgb.org.au/about/2018-02-10T01:11:43+00:00weekly0.6https://cgb.org.au/2018/02/03/getting-published-the-editors-perspective/2018-02-06T09:28:01+00:00monthlyhttps://cgb.org.au/2018/01/25/why-is-there-so-much-variation-in-metabolic-rate/https://geometricbiology.files.wordpress.com/2018/02/pettersenchart.pngPettersenChartPredicted population-level response to persistent univariate and multivariate selection (A) Directional selection: in this example the linear coefficient of selection β is positive. Over generations, the population mean of trait 1 (t1) is expected to increase. (B) Stabilizing selection: where the quadratic coefficient γ is negative. Over generations, the population variance will decrease, forming a single optimum for t1. (C) Disruptive selection: where the quadratic coefficient γ is positive. Over generations, the population variance will decrease, forming two optima for t1. (D) Positive correlational selection on t1 and trait 2 (t2) (where γ is positive) produces an increase in the covariance between t1 and t2. (E) Negative correlational selection on t1 and t2 (where γ is negative) produces a decrease in the covariance between t1 and t2.2018-02-06T09:21:47+00:00monthlyhttps://cgb.org.au/2017/12/07/its-life-but-not-as-we-know-it/https://geometricbiology.files.wordpress.com/2017/12/adamsflat.jpgAdamsFlatAdams Flat: one of the arid, Antactic sampling sites with surprisingly high microbial diversity.2018-01-22T09:31:34+00:00monthlyhttps://cgb.org.au/publications/2018-01-22T09:28:30+00:00weekly0.6https://cgb.org.au/2017/12/06/atmospheric-trace-gases-support-primary-production-in-antarctic-desert-surface-soil/2018-01-22T09:27:51+00:00monthlyhttps://cgb.org.au/2018/01/11/understanding-variation-in-metabolic-rate/2018-01-22T09:08:38+00:00monthlyhttps://cgb.org.au/2018/01/04/ocean-sunfish-as-indicators-for-the-rise-of-slime/https://geometricbiology.files.wordpress.com/2018/01/ocean-sunfish-mike-baird.jpgOcean Sunfish Mike BairdOcean sunfish (Mola mola) are named sunfish because they engage in extensive sunbathing at the water surface making them far easier to monitor than jellyfish. Image credit Mike Baird via Flickr.2018-01-16T10:29:56+00:00monthlyhttps://cgb.org.au/2017/12/04/metabolic-theory-how-does-the-cost-of-development-scale-allometrically-with-offspring-size/https://geometricbiology.files.wordpress.com/2017/12/zebrafishembryos.jpgZebraFishEmbryos3-hour old embryos of the tropical freshwater zebrafish, <em>Danio rerio</em>. 2017-12-04T09:16:12+00:00monthlyhttps://cgb.org.au/2017/12/02/what-happens-in-60000-generations-of-evolution/https://geometricbiology.files.wordpress.com/2017/12/mikemcdonaldthedynamicsofmolecularevolution1.pngMikeMcDonaldTheDynamicsOfMolecularEvolutionThis figure shows the trajectories of different mutations in different populations. A mutation may become ‘fixed’ where 100% of all alleles have that mutation, others may reach substantial frequencies before becoming extinct. What was most striking however was when neither fixation or extinction occurred, with 9 of the 12 populations maintaining 2 or more stable “subpopulations”, within the culture. This indicates that one way the populations can continue to adapt for so long is by diversifying and evolving niche specific subpopulations.2017-12-02T10:08:36+00:00monthlyhttps://cgb.org.au/2017/07/12/low-carbohydrate-diet-induces-metabolic-depression-a-possible-mechanism-to-conserve-glycogen/2017-12-02T09:57:32+00:00monthlyhttps://cgb.org.au/2017/10/18/the-dynamics-of-molecular-evolution-over-60000-generations/2017-12-02T09:49:58+00:00monthlyhttps://cgb.org.au/2017/09/22/phytoplankton-size-scaling-of-net-energy-flux-across-light-and-biomass-gradients/2017-12-02T09:28:44+00:00monthlyhttps://cgb.org.au/2017/11/09/does-the-cost-of-development-scale-allometrically-with-offspring-size/2017-11-22T09:39:32+00:00monthlyhttps://cgb.org.au/2017/11/21/evolving-smaller-body-sizes-improve-the-ability-to-persist-when-resources-are-limited-but-at-a-cost/https://geometricbiology.files.wordpress.com/2017/11/dunaliellasmalllarge.pngDunaliellaSmallLargeScanning electron micrographs of artificially selected algae. “If the environment allows you to “acquire much”, be big! Otherwise, better to “desire little” and be little.2017-11-21T08:04:16+00:00monthlyhttps://cgb.org.au/2017/11/20/australian-research-council-discovery-projects-to-begin-in-2018/https://geometricbiology.files.wordpress.com/2017/11/perran7001.pngPerran700Conceptual model of benthic algal metabolism in sand sediments. In the energetic environment of sandy sediments, algal cells are routinely moved below the sediment surface where it is dark and anoxic. The research team are interested in the role of hydrogen which is an important intermediary in the processes that control nutrient regeneration and loss in these sediments. Source: Rao, A (2017) Carbon cycle: New pathways in the sand, <em>Nature Geoscience</em> 10, 3–4https://geometricbiology.files.wordpress.com/2017/11/katholtarc700.pngKatHoltARC700Microbes continually modify their environment through the production of metabolites and so the very presence of another species changes the environment, and therefore the selective pressures experienced by co-habiting species. Mike and Kat will be co-evolving yeast and <em>E. coli</em> in two environments (glucose or xylose and acetate) whereby yeast can utilise glucose and acetate and <em>E. coli</em> can utilise glucose and xylose but are repressed by ethanol and acetate.https://geometricbiology.files.wordpress.com/2017/11/drosophila700.jpgdrosophila700<em>Drosophila melanogastor</em> or common fruit fly. Craig and Lesley will experimentally evolve large and small flies with different metabolic rates to test hypotheses about the scaling of biological traits with size.https://geometricbiology.files.wordpress.com/2017/11/cionaembryo700.jpgcionaembryo700Embryo of study organism <em>Ciona intestinalis</em> four hours post fertilisation. Dustin will look at how the paternal environment affects the reporductive success and development of this externally fertilising invertbrate.2017-11-20T10:52:55+00:00monthlyhttps://cgb.org.au/2017/11/12/radio-3cr-incredible-phytoplankton/https://geometricbiology.files.wordpress.com/2017/11/phytoplanktonenhanced.jpgPhytoplanktonEnhanced2017-11-17T00:03:12+00:00monthlyhttps://cgb.org.au/2017/09/26/does-energy-flux-predict-density-dependence-an-empirical-field-test/2017-11-16T22:56:37+00:00monthlyhttps://cgb.org.au/2017/11/15/eco-energetic-consequences-of-evolutionary-shifts-in-body-size/2017-11-16T09:38:39+00:00monthlyhttps://cgb.org.au/2017/11/09/discussion-group-with-professor-troy-day/https://geometricbiology.files.wordpress.com/2017/11/troyday.pngTroyDay2017-11-09T09:33:43+00:00monthlyhttps://cgb.org.au/2017/10/16/an-experimental-demonstration-of-the-effect-of-competition-on-energy-budgets/https://geometricbiology.files.wordpress.com/2017/10/buguladensitygraphs4up.pngBugulaDensityGraphs4UpThe research team considered four possible scenarios where the rates of feeding and metabolism varied and which would have different outcomes in terms of the energy available for growth.2017-10-20T21:24:53+00:00monthlyhttps://cgb.org.au/2017/08/17/mixing-it-up-methanotrophs-use-hydrogen-as-alternative-energy-source/https://geometricbiology.files.wordpress.com/2017/08/untitled-3.jpgmethanotrophsMembers of the research team taking soil samples from geothermal habitat in New Zealand.2017-10-08T08:51:39+00:00monthlyhttps://cgb.org.au/2017/10/08/net-energy-gain-in-phytoplankton-cells-is-dependent-on-cell-size-light-and-population-density/https://geometricbiology.files.wordpress.com/2017/10/phytoplanktoncollage.jpgPhytoplanktonCollageThe team examined 21 species of phytoplankton from seven phyla. 2017-10-08T08:47:48+00:00monthlyhttps://cgb.org.au/2017/07/24/mini-symposium/2017-08-30T09:27:24+00:00monthlyhttps://cgb.org.au/2017/08/30/time-to-take-stock-mini-symposium-provides-research-overview/https://geometricbiology.files.wordpress.com/2017/08/minisymposiumsixpics.jpgMiniSymposiumSixPics2017-08-30T09:19:01+00:00monthlyhttps://cgb.org.au/2017/08/04/mixotrophy-drives-niche-expansion-of-verrucomicrobial-methanotrophs/2017-08-17T11:17:28+00:00monthlyhttps://cgb.org.au/members/2017-08-17T10:33:17+00:00weekly0.6https://cgb.org.au/2017/08/03/conference-season/2017-08-09T10:41:21+00:00monthlyhttps://cgb.org.au/2017/07/03/boldness-traits-not-dominance-predict-exploratory-flight-range-and-homing-behaviour-in-homing-pigeons/2017-08-02T09:31:08+00:00monthlyhttps://cgb.org.au/2017/07/19/should-mothers-provision-their-offspring-equally-a-manipulative-field-test/2017-07-30T09:48:52+00:00monthlyhttps://cgb.org.au/2017/07/29/environmental-microbiology-research-initiative-seminar-triple-bill-at-the-university-of-melbourne/https://geometricbiology.files.wordpress.com/2017/07/bacteriaphages.pngBacteriaphages2017-07-29T06:20:37+00:00monthlyhttps://cgb.org.au/2017/07/05/new-housing-for-tube-worm-populations-to-investigate-the-eco-evolutionary-consequences-of-evolutionary-shifts-in-body-size/https://geometricbiology.files.wordpress.com/2017/07/spirorbid.jpgspirorbidSpirorbid worms (<em>Spirorbis sp</em>.) Image credit Derek Keats via <a href="https://flic.kr/p/8UJ9Ck">Flickr</a>.https://geometricbiology.files.wordpress.com/2017/07/belindaaquarium.jpgBelindaAquariumAlways a relief when there's no leaks! Belinda has finished the aquaria set-up in the constant temperature room. The base populations of a small spirorbid tube worm will be housed in here ready for artificial selection of different size classes.2017-07-05T11:35:35+00:00monthlyhttps://cgb.org.au/2017/06/14/skin-sloughing-in-susceptible-and-resistant-amphibians-regulates-infection-with-a-fungal-pathogen/2017-07-05T10:45:08+00:00monthlyhttps://cgb.org.au/2017/06/29/do-invasive-species-live-faster-mass-specific-metabolic-rate-depends-on-growth-form-and-invasion-status-2/2017-07-05T10:40:03+00:00monthlyhttps://cgb.org.au/2017/05/30/do-weeds-live-faster/https://geometricbiology.files.wordpress.com/2017/06/marcelosbugulajars.jpgMarcelosBugulaJarsBugula flabellate ready for measurements of metabolic rate.2017-07-05T10:27:53+00:00monthlyhttps://cgb.org.au/2017/06/30/httpscgb-org-au20170630research-fellow-position-adaptive-dynamics-modeller/2017-07-01T10:49:33+00:00monthlyhttps://cgb.org.au/2017/06/30/research-fellow-position-life-history-empiricist/2017-07-01T10:44:49+00:00monthlyhttps://cgb.org.au/2017/05/11/relaxation-of-herbivore-mediated-selection-drives-the-evolution-of-genetic-covariances-between-plant-competitive-and-defense-traits/2017-06-26T22:43:08+00:00monthlyhttps://cgb.org.au/2017/06/22/evolution-2017-conference/2017-06-22T10:33:45+00:00monthlyhttps://cgb.org.au/2016/12/05/phd-positions-x2-the-evolutionary-ecology-of-marine-heterotrophs/2017-06-15T10:39:30+00:00monthlyhttps://cgb.org.au/2017/06/13/unequal-provisioning-of-offspring-benefits-via-bet-hedging-or-niche-partitioning/https://geometricbiology.files.wordpress.com/2017/06/bugula-neritina-variation-schematic.jpgBugula-neritina-variation-schematicSchematic summarizing the effects of within-brood variation in offspring size on the performance of experimental broods of Bugula neritina. Broods with greater offspring size variation had higher mean performance (for both survival and growth), and larger variation (standard deviation) in the size of colonies, than less variable broods after eight weeks in the field. Offspring in more-variable broods also reached larger minimum and maximum colony sizes than offspring in less-variable broods.https://geometricbiology.files.wordpress.com/2017/06/bugula-neritina-small.jpgBugula-neritina-smallIn this species of colonial bryozoan, larvae are brooded in chambers called ovicells (white blobs in photo) for up to one week before broods of fully developed larvae (of variable sizes) are released into the water column. The non-feeding larvae settle within hours, which means that siblings are likely to co-occur across small spatial scales in the field. Hayley was able to directly manipulate within-brood variance by settling larvae of different sizes to create a ‘brood’. Photo credit Canadian Academy of Science.2017-06-13T10:24:58+00:00monthlyhttps://cgb.org.au/2017/06/05/a-day-in-the-life/https://geometricbiology.files.wordpress.com/2017/06/martinocytometer.jpgMartinoCytometerMarino measures the cells.https://geometricbiology.files.wordpress.com/2017/06/blakechansorting.jpgBlakeChanSortingBlake delivers the samples to Martino…https://geometricbiology.files.wordpress.com/2017/06/giuliasamples.jpgGiuliaSamplesGiulia takes samples every two hours…https://geometricbiology.files.wordpress.com/2017/06/bugulavials.jpgBugulaVialsThe <em>Bugula</em> vials are kept on a roller…2017-06-05T09:42:01+00:00monthlyhttps://cgb.org.au/2017/05/02/running-up-that-hill-how-hard-is-it/https://geometricbiology.files.wordpress.com/2017/05/halseyandwhitegraphs.pngHalseyAndWhiteGraphsRelationship between Net Cost Of Transport (NCOT) and gradient, on a per species basis. From left to right the graphs present absolute NCOT (A; N=26), relative NCOT (NCOTrel, C; N=26) and mass-specific NCOT (NCOTms, E; N=23) plotted against gradient. Lines link data for the same species. Lightest species are in blue and heavier species in orange.2017-05-02T09:38:11+00:00monthlyhttps://cgb.org.au/2017/01/18/comparative-work-on-the-cost-of-terrestrial-locomotion-in-animals-has-focused-on-the-underpinning-physiology-and-biomechanics/2017-04-25T10:43:13+00:00monthlyhttps://cgb.org.au/2017/04/25/invasive-beetles-travel-further-on-longer-legs/https://geometricbiology.files.wordpress.com/2017/04/beetlemaze.pngBeetleMazeSchematic of the maze environment based on 12 evenly-spaced square radial passageways. A typical movement path taken by an individual beetle is shown by the dotted line.https://geometricbiology.files.wordpress.com/2017/04/flourbettle.jpgFlourBettleAdult red flour beetle <em>Tribolium castaneum</em> moving through wheat flour.2017-04-25T10:30:55+00:00monthlyhttps://cgb.org.au/2016/10/17/functional-traits-in-red-flour-beetles-the-dispersal-phenotype-is-associated-with-leg-length-but-not-body-size-nor-metabolic-rate/2017-04-25T04:44:43+00:00monthlyhttps://cgb.org.au/2016/08/31/phylogenetic-comparisons-of-pedestrian-locomotion-costs-confirmations-and-new-insights/2017-04-23T11:13:20+00:00monthlyhttps://cgb.org.au/2017/03/06/investigating-movement-in-the-laboratory-dispersal-apparatus-designs-and-the-red-flour-beetle-tribolium-castaneum/2017-04-23T11:11:31+00:00monthlyhttps://cgb.org.au/2017/04/20/in-the-balance-competition-and-facilitation-affected-by-resource-availability/https://geometricbiology.files.wordpress.com/2017/04/watersipora-2.jpgWatersipora-2Watersipora sometimes known as the ‘red rust’ bryozoan growing on artificial substrates. https://geometricbiology.files.wordpress.com/2017/04/watersipora-1.jpgWatersipora-1Watersipora sometimes known as the ‘red rust’ bryozoan growing on artificial substrates. 2017-04-20T11:07:13+00:00monthlyhttps://cgb.org.au/2016/10/21/dispersal-duration-mediates-selection-on-offspring-size-2/2017-04-12T00:04:18+00:00monthlyhttps://cgb.org.au/2017/03/06/field-manipulations-of-resources-mediate-the-transition-from-intraspecific-competition-to-facilitation/2017-04-11T01:05:22+00:00monthlyhttps://cgb.org.au/2017/04/03/do-low-oxygen-environments-favour-invasive-marine-species/https://geometricbiology.files.wordpress.com/2017/04/lagoslowo2graph.pngLagosLowO2GraphMeasures of critical oxygen concentrations (CCO2) for sessile marine invertebrates that differ in invasive status (native versus invasive) and growth form (flat versus erect). https://geometricbiology.files.wordpress.com/2017/04/erectgrowthformsquadtych.jpgErectGrowthFormsQuadtychExamples of native (left side) and invasive (right side) species with erect growth forms. 2017-04-03T10:41:26+00:00monthlyhttps://cgb.org.au/2017/03/20/do-low-oxygen-environments-facilitate-marine-invasions-relative-tolerance-of-native-and-invasive-species-to-low-oxygen-conditions/2017-04-03T09:53:06+00:00monthlyhttps://cgb.org.au/2017/03/28/travel-news/https://geometricbiology.files.wordpress.com/2017/03/eagleandchild.jpgEagleAndChildOxford’s famous Eagle And Child is one of Dustin’s favourite places to visit.https://geometricbiology.files.wordpress.com/2017/03/hayleyoxford.jpgHayleyOxfordHayley prefers a stroll through Oxford’s picturesque University Parks.2017-03-28T08:45:12+00:00monthlyhttps://cgb.org.au/2017/03/22/lolinr-package-a-statistically-robust-and-reproducible-approach-to-estimating-monotonic-rates-from-biological-data/https://geometricbiology.files.wordpress.com/2017/03/colin-workflow-fig1.pngcolin-workflow-fig2017-03-22T09:01:41+00:00monthlyhttps://cgb.org.au/2017/02/01/geographical-gradients-in-selection-can-reveal-genetic-constraints-for-evolutionary-responses-to-ocean-acidification/2017-03-21T09:12:45+00:00monthlyhttps://cgb.org.au/2016/12/19/the-evolution-of-reproductive-phenology-in-broadcast-spawners-and-the-maintenance-of-sexually-antagonistic-polymorphism/2017-03-20T10:25:20+00:00monthlyhttps://cgb.org.au/2016/12/05/larger-mothers-larger-offspring/https://geometricbiology.files.wordpress.com/2017/01/bugulaplates.jpgBryozoan colonies growing on plates at different densities. Survival and growth was recorded after four weeks.2017-03-14T09:12:15+00:00monthlyhttps://cgb.org.au/2017/01/09/competitive-advantages-of-colonies-size-shape-and-energy/https://geometricbiology.files.wordpress.com/2017/01/bugula2x.jpgbugula2xA colonial marine organism; Bugula neritina, one of the species Diego Barneche and colleagues manipulated in their study.2017-03-14T09:11:26+00:00monthlyhttps://cgb.org.au/2017/01/19/can-we-predict-the-outcome-of-infection-using-metabolic-rates/https://geometricbiology.files.wordpress.com/2017/01/daphnia.jpgdaphniaThe water flea, Daphnia2017-03-14T09:10:44+00:00monthlyhttps://cgb.org.au/2017/03/14/selection-may-not-act-alone-to-determine-variation-in-life-history-traits-across-depth-gradients/https://geometricbiology.files.wordpress.com/2017/03/watersipora2.pngWatersiporaTraits measured in <em>Watersipora</em> colonieshttps://geometricbiology.files.wordpress.com/2017/03/watersipora.pngWatersipora2017-03-14T09:04:58+00:00monthlyhttps://cgb.org.au/2017/03/05/one-hundred-generations-of-artificially-selected-algae/https://geometricbiology.files.wordpress.com/2017/03/artificiallyselectedalgaegraphupdated.pngartificiallyselectedalgaegraphUpdatedhttps://geometricbiology.files.wordpress.com/2017/03/artificiallyselectedalgaegraph.pngartificiallyselectedalgaegraph2017-03-10T01:34:55+00:00monthlyhttps://cgb.org.au/2016/08/25/environment-dependent-variation-in-selection-on-life-history-across-small-spatial-scales/2017-03-09T09:53:57+00:00monthlyhttps://cgb.org.au/2016/07/15/quantifying-the-role-of-colonization-history-and-biotic-interactions-in-shaping-communities-a-community-transplant-approach/2017-03-03T05:23:54+00:00monthlyhttps://cgb.org.au/2017/01/07/limited-evolutionary-responses-to-harvesting-regime-in-the-intensive-production-of-algae/2017-03-02T21:56:56+00:00monthlyhttps://cgb.org.au/2017/03/01/estimating-monotonic-rates-from-biological-data-using-local-linear-regression/2017-03-02T08:50:13+00:00monthlyhttps://cgb.org.au/2016/12/20/the-other-96-can-neglected-sources-of-fitness-variation-offer-new-insights-into-adaptation-to-global-change/2017-02-28T09:27:08+00:00monthlyhttps://cgb.org.au/2017/02/06/nestedness-across-biological-scales/2017-02-28T09:20:33+00:00monthlyhttps://cgb.org.au/2016/11/24/consequences-of-genetic-linkage-for-the-maintenance-of-sexually-antagonistic-polymorphism-in-hermaphrodites/2017-02-28T09:02:38+00:00monthlyhttps://cgb.org.au/2017/01/07/temperature-effects-on-mass-scaling-exponents-in-colonial-animals-a-manipulative-test/2017-02-28T09:00:32+00:00monthlyhttps://cgb.org.au/2016/05/12/biofilm-history-and-oxygen-availability-interact-to-affect-habitat-selection-in-a-marine-invertebrate/2017-02-27T09:40:58+00:00monthlyhttps://cgb.org.au/2016/03/16/isolation-drives-taxonomic-and-functional-nestedness-in-tropical-reef-fish-faunas/2017-02-27T09:40:16+00:00monthlyhttps://cgb.org.au/2016/01/20/energetic-and-ecological-constraints-on-population-density-of-reef-fishes/2017-02-27T09:39:37+00:00monthlyhttps://cgb.org.au/2016/05/25/metabolic-rate-covaries-with-fitness-and-the-pace-of-the-life-history-in-the-field/2017-02-27T09:38:34+00:00monthlyhttps://cgb.org.au/2016/06/30/global-change-life-history-complexity-and-the-potential-for-evolutionary-rescue/2017-02-27T09:37:37+00:00monthlyhttps://cgb.org.au/2016/07/13/unravelling-anisogamy-egg-size-and-ejaculate-size-mediate-selection-on-morphology-in-free-swimming-sperm/2017-02-27T09:36:58+00:00monthlyhttps://cgb.org.au/2016/10/05/marine-island-biogeography-response-to-comment-on-island-biogeography-patterns-of-marine-shallow-water-organisms/2017-02-27T09:36:15+00:00monthlyhttps://cgb.org.au/2016/12/05/why-do-larger-mothers-produce-larger-offspring-a-test-of-classic-theory/2017-01-13T09:31:26+00:00monthlyhttps://cgb.org.au/2016/11/03/centre-successful-in-latest-round-of-research-funding/2016-12-05T09:20:51+00:00monthlyhttps://cgb.org.au/2016/11/03/endeavour-fellowship-for-amanda/https://geometricbiology.files.wordpress.com/2016/11/amandapettersen.pngamandapettersen2016-11-03T09:56:42+00:00monthlyhttps://cgb.org.au/2016/11/03/monterey-meeting-2016/https://geometricbiology.files.wordpress.com/2016/11/westernsocietyofnaturalists.pngwesternsocietyofnaturalists2016-11-03T09:47:41+00:00monthlyhttps://cgb.org.au/news/2016-10-04T03:53:50+00:00weekly0.6https://cgb.org.au/2016/10/04/visiting-academic-andre-de-roos/https://geometricbiology.files.wordpress.com/2016/10/andrederoos.pngandrederoos2016-10-04T03:52:11+00:00monthlyhttps://cgb.org.au/2016/09/01/open-forum/2016-10-04T03:39:11+00:00monthlyhttps://cgb.org.au/partners/2015-06-07T10:05:54+00:00weekly0.6https://cgb.org.audaily1.02018-02-16T09:55:24+00:00