Search

The freshwater sponge Ephydatia muelleri and its Chlorella-like green algal partner is an emerging model for studying animal:algal endosymbiosis. The sponge host is a highly tractable laboratory organism, and the symbiotic algae are easily cultured. We took advantage of these traits to experimentally interrogate fundamental questions about cellular mechanisms that govern the establishment of durable intracellular partnerships between hosts and symbionts in facultative symbioses. We modified a classical experimental approach to discern the phagocytotic mechanisms that might be co-opted to permit persistent infections, and identified genes differentially expressed in E. muelleri sponges early in the establishment of endosymbiosis. We exposed algal-free E. muelleri to live native algal symbionts, native heat-killed algae, and bacteria, and then performed RNASeq so we could compare patterns of gene expression in each treatment. We contrasted differential gene expression patterns between potential food items (bacteria and heat-killed algae) and the live native Chlorella-like symbiont. We found a relatively small but interesting suite of genes that are uniquely and differentially expressed in the host exposed to live algal symbionts, and a larger number of genes uniquely triggered by host exposure to heat-killed algae. One of the host genes, an ABC transporter that is downregulated in response to live algal symbionts, was further evaluated for its possible role in establishment of the algal symbiosis. We discuss the gene expression profiles associated with host responses to living algal cells in the context of conditions necessary for long-term residency within host cells by phototrophic symbionts as well as the genetic responses to sponge phagocytosis and immune driven pathways.

In many freshwater habitats, green algae form intracellular symbioses with a variety of heterotrophic host taxa including several species of freshwater sponge. These sponges perform important ecological roles in their habitats, and the poriferan:green algae partnerships offers unique opportunities to study the evolutionary origins and ecological persistence of endosymbioses. We examined the association betweenEphydatia muelleriand its chlorophyte partner to identify features of host cellular and genetic responses to the presence of intracellular algal partners.Chlorella-likegreen algal symbionts were isolated from field-collected adultE. muelleritissue harboring algae. The sponge-derived algae were successfully cultured and subsequently used to reinfect aposymbioticE. muelleritissue. We used confocal microscopy to follow the fate of the sponge-derived algae after inoculating algae-freeE. muellerigrown from gemmules to show temporal patterns of symbiont location within host tissue. We also infected aposymbioticE. muelleriwith sponge-derived algae, and performed RNASeq to study differential expression patterns in the host relative to symbiotic states. We compare and contrast our findings with work in other systems (e.g., endosymbioticHydra) to explore possible conserved evolutionary pathways that may lead to stable mutualistic endosymbioses. Our work demonstrates that freshwater sponges offer many tractable qualities to study features of intracellular occupancy and thus meet criteria desired for a model system.

The genomes of non-bilaterian metazoans are key to understanding the molecular basis of early animal evolution. However, a full comprehension of how animal-specific traits, such as nervous systems, arose is hindered by the scarcity and fragmented nature of genomes from key taxa, such as Porifera. Ephydatia muelleri is a freshwater sponge found across the northern hemisphere. Here, we present its 326 Mb genome, assembled to high contiguity (N50: 9.88 Mb) with 23 chromosomes on 24 scaffolds. Our analyses reveal a metazoan-typical genome architecture, with highly shared synteny across Metazoa, and suggest that adaptation to the extreme temperatures and conditions found in freshwater often involves gene duplication. The pancontinental distribution and ready laboratory culture of E. muelleri make this a highly practical model system which, with RNAseq, DNA methylation and bacterial amplicon data spanning its development and range, allows exploration of genomic changes both within sponges and in early animal evolution., Reconstructing the early molecular evolution of animals requires genomic resources for non-bilaterian animals. Here, the authors present the chromosome-level genome of a freshwater sponge together with analyses of its genome architecture, methylation, developmental gene expression, and microbiome.

Background Substandard medicines, whether the result of intentional manipulation or lack of compliance with good manufacturing practice (GMP) or good distribution practice (GDP), pose a significant potential threat to patient safety. Spontaneous adverse drug reaction reporting systems can contribute to identification of quality problems that cause unwanted and/or harmful effects, and to identification of clusters of lack of efficacy. In 2011, the Uppsala Monitoring Centre (UMC) constructed a novel algorithm to identify reporting patterns suggestive of substandard medicines in spontaneous reporting, and applied it to VigiBase®, the World Health Organization’s global individual case safety report database. The algorithm identified some historical clusters related to substandard products, which were later able to be confirmed in the literature or by contact with national centres (NCs). As relevant and detailed information is often lacking in the VigiBase reports but might be available at the reporting NC, further evaluation of the algorithm was undertaken with involvement from NCs. Objective To evaluate the effectiveness of an algorithm that identifies clusters of potentially substandard medicines, when these are assessed directly at the NC concerned. Methods The algorithm identifies countries and time periods with disproportionately high reporting of product inadequacy. NCs with at least 20 clusters were eligible to participate in the study, and six NCs—those in the Republic of Korea, Malaysia, Singapore, South Africa, the UK and the USA—were selected, taking into account the geographical spread and prevalence of recent clusters. The clusters were systematically assessed at the NCs, following a standardized protocol, and then compiled centrally at the UMC. The clusters were classified as ‘confirmed’, ‘potential’ or ‘unlikely’ substandard products; or as ‘confirmed not substandard’ when confirmed by an investigation; or as ‘indecisive’ when the information available did not allow a sound assessment even at the NC. Results The assessment of a total of 147 clusters resulted in 8 confirmed, 12 potential and 51 unlikely substandard products, and a further 19 clusters were confirmed as not substandard. Reflecting the difficulty of evaluating suspected substandard products retrospectively when additional information from the primary reporter, as well as samples, are no longer available, 57 clusters were classified as indecisive. Conclusion While application of the algorithm to VigiBase allowed identification of some substandard medicines, some key prerequisites have been identified that need to be fulfilled at the national level for the algorithm to be useful in practice. Such key factors are fast handling and transfer of incoming reports into VigiBase, detailed information on the product and its distribution channels, the possibility of contacting primary reporters for further information, availability of samples of suspected products and laboratory capacity to analyse suspected products. Electronic supplementary material The online version of this article (doi:10.1007/s40264-015-0271-2) contains supplementary material, which is available to authorized users.