Tuesday, February 13, 2018

International wildlife trade

Increasing our understanding of the drivers of international wildlife trade is critical as unsustainable harvesting of wildlife can lead to population decline and the extinction of species. While there is currently a database of legal trade in restricted species, it relies on the submission of annual reports which can be undermined by weak domestic legislation and governance hence we are not getting a complete picture of the industry.

Researchers from the National University of Singapore conducted an in-depth study on international wildlife trade data. They used a new gravity-underreporting model to carry out a comprehensive analysis and comparison of over 370,000 records of wildlife trade between 2004 and 2013 across three groups -- mammals, avian and reptiles.  The key findings established from the analysis show market forces the drive the movement of wildlife products around the globe, and demonstrate that our understanding of illegal and legal wildlife trade is biased towards certain species and regions of the globe. The findings also implied that wildlife trade networks may be more complicated than previously thought, undermining enforcement and conservation efforts. Other findings of the study:

  • Illegal products entering the USA come predominantly from Canada, Mexico and China
  • Illegal products entering the USA were less likely to be intercepted if they were coming from Africa, central Asia, Eastern Europe and Pacific Island states suggesting the existence of complex trade networks and the potential for the laundering of illegal products through legal markets
  • Different drivers and markets exist for mammalian, avian and reptilian trade, suggesting a nuanced approach to regulation and monitoring, which accounts for these differences, is required for effective conservation.
  • The Convention on the International Trade in Endangered Species of Wild Fauna and Flora (CITES) success depends on products considered, and trade in less well studied groups such as orchids, timber or corals are likely to be less well regulated by CITES.

Regulatory authorities, such as CITES, should leverage this information to improve existing conservation efforts and policies and extend efforts into areas that are currently underrepresented.

The trends we have established in this study highlight the need for regulatory bodies to look beyond the existing databases and take into account the uncertainty surrounding our current understanding of wildlife trade in their conservation efforts. For example, capacity building to improve our ability to regulate and monitor trade in less well studied species and in countries with higher levels of corruption are essential if we want to prevent trade driven extinctions globally

Monday, February 12, 2018

Weekend reads (after the weekend)

A little late this time but still some very interesting papers for you. You can hold on to them for the coming weekend or read them right away. Your choice.

Soil is often collected from a suspect's tire, vehicle, or shoes during a criminal investigation and subsequently submitted to a forensic laboratory for analysis. Plant and insect material recovered in such samples is rarely analyzed, as morphological identification is difficult. In this study, DNA barcoding was used for taxonomic identifications by targeting the gene regions known to permit discrimination in plants [maturase K (matK) and ribulose 1,5-biphosphate carboxylase (rbcL)] and insects [cytochrome oxidase subunit I (COI)]. A DNA barcode protocol suitable for processing forensic-type biological fragments was developed and its utility broadly tested with forensic-type fragments (e.g., seeds, leaves, bark, head, legs; n, 213) isolated from soils collected within Virginia, USA (n, 11). Difficulties with PCR inhibitors in plant extracts and obtaining clean Sanger sequence data from insect amplicons were encountered during protocol development; however, the final protocol produced sequences specific to the expected locus and taxa. The overall quantity and quality of DNA extracted from the 213 forensic-type biological fragments was low (< 15 ng/μL). For plant fragments, only the rbcL sequence data was deemed reliable; thus, taxonomic identifications were limited to the family level. The majority of insect sequences matched COI in both GenBank and Barcode of Life DataSystems; however, they were identified as an undescribed environmental contaminant. Although limited taxonomic information was gleaned from the forensic-type fragments processed in this study, the new protocol shows promise for obtaining reliable and specific identifications through DNA barcoding, which could ultimately enhance the information gleaned from soil examinations.

Gelatinous zooplankton are a large component of the animal biomass in all marine environments, but are considered to be uncommon in the diet of most marine top predators. However, the diets of key predator groups like seabirds have conventionally been assessed from stomach content analyses, which cannot detect most gelatinous prey. As marine top predators are used to identify changes in the overall species composition of marine ecosystems, such biases in dietary assessment may impact our detection of important ecosystem regime shifts. We investigated albatross diet using DNA metabarcoding of scats to assess the prevalence of gelatinous zooplankton consumption by two albatross species, one of which is used as an indicator species for ecosystem monitoring. Black-browed and Campbell albatross scats were collected from eight breeding colonies covering the circumpolar range of these birds over two consecutive breeding seasons. Fish was the main dietary item at most sites; however, cnidarian DNA, primarily from scyphozoan jellyfish, was present in 42% of samples overall and up to 80% of samples at some sites. Jellyfish was detected during all breeding stages and consumed by adults and chicks. Trawl fishery catches of jellyfish near the Falkland Islands indicate a similar frequency of jellyfish occurrence in albatross diets in years of high and low jellyfish availability, suggesting jellyfish consumption may be selective rather than opportunistic. Warmer oceans and overfishing of finfish are predicted to favour jellyfish population increases, and we demonstrate here that dietary DNA metabarcoding enables measurements of the contribution of gelatinous zooplankton to the diet of marine predators.

Fungi play a key role in soil-plant interactions, nutrient cycling and carbon flow and are essential for the functioning of arctic terrestrial ecosystems. Some studies have shown that the composition of fungal communities is highly sensitive to variations in environmental conditions, but little is known about how the conditions control the role of fungal communities (i.e., their ecosystem function). We used DNA metabarcoding to compare taxonomic and functional composition of fungal communities along a gradient of environmental severity in Northeast Greenland. We analysed soil samples from fell fields, heaths and snowbeds, three habitats with very contrasting abiotic conditions. We also assessed within-habitat differences by comparing three widespread microhabitats (patches with high cover of Dryas, Salix, or bare soil). The data suggest that, along the sampled mesotopographic gradient, the greatest differences in both fungal richness and community composition are observed amongst habitats, while the effect of microhabitat is weaker, although still significant. Furthermore, we found that richness and community composition of fungi are shaped primarily by abiotic factors and to a lesser, though still significant extent, by floristic composition. Along this mesotopographic gradient, environmental severity is strongly correlated with richness in all fungal functional groups: positively in saprotrophic, pathogenic and lichenised fungi, and negatively in ectomycorrhizal and root endophytic fungi. Our results suggest complex interactions amongst functional groups, possibly due to nutrient limitation or competitive exclusion, with potential implications on soil carbon stocks. These findings are important in the light of the environmental changes predicted for the Arctic.

Since the advent of DNA metabarcoding surveys, the planktonic realm is considered a treasure trove of diversity, inhabited by a small number of abundant taxa, and a hugely diverse and taxonomically uncharacterized consortium of rare species. Here we assess if the apparent underestimation of plankton diversity applies universally. We target planktonic foraminifera, a group of protists whose known morphological diversity is limited, taxonomically resolved and linked to ribosomal DNA barcodes. We generated a pyrosequencing dataset of ~100,000 partial 18S rRNA foraminiferal sequences from 32 size fractioned photic-zone plankton samples collected at 8 stations in the Indian and Atlantic Oceans during the Tara Oceans expedition (2009-2012). We identified 69 genetic types belonging to 41 morphotaxa in our metabarcoding dataset. The diversity saturated at local and regional scale as well as in the three size fractions and the two depths sampled indicating that the diversity of foraminifera is modest and finite. The large majority of the newly discovered lineages occur in the small size fraction, neglected by classical taxonomy. These unknown lineages dominate the bulk [>0.8 µm] size fraction, implying that a considerable part of the planktonic foraminifera community biomass has its origin in unknown lineages.

Niche partitioning through foraging is a mechanism likely involved in facilitating the coexistence of ecologically similar and co-occurring animal species by separating their use of resources. Yet, this mechanism is not well understood in flying insectivorous animals. This is particularly true of bats, where many ecologically similar or cryptic species coexist. The detailed analysis of the foraging niche in sympatric, cryptic sibling species provides an excellent framework to disentangle the role of specific niche factors likely involved in facilitating coexistence. We used DNA metabarcoding to determine the prey species consumed by a population of sympatric sibling Rhinolophus euryale and R. mehelyi whose use of habitat in both sympatric and allopatric ranges has been well established through radio tracking. Although some subtle dietary differences exist in prey species composition, the diet of both bats greatly overlapped (Ojk = 0.83) due to the consumption of the same common and widespread moths. Those dietary differences we did detect might be related to divergences in prey availabilities among foraging habitats, which prior radio tracking on the same population showed are differentially used and selected when both species co-occur. This minor dietary segregation in sympatry may be the result of foraging on the same prey-types and could contribute to reduce potential competitive interactions (e.g. for prey, acoustic space). Our results highlight the need to evaluate the spatial niche dimension in mediating the co-occurrence of similar insectivorous bat species, a niche factor likely involved in processes of bat species coexistence.

The environmental health of aquatic ecosystems is critical to society, yet traditional assessments of water quality have limited utility for some bodies of water such as large rivers. Sequencing of environmental DNA (eDNA) has the potential to complement if not replace traditional sampling of biotic assemblages for the purposes of reconstructing aquatic assemblages and, by proxy, assessing water quality. Despite this potential, there has been little testing of the ability of eDNA to reconstruct assemblages and their absolute and relative utility to infer water quality metrics. Here, we reconstruct phytoplankton communities by amplifying and sequencing DNA from a portion of the 23S rRNA region from filtered water samples along a 2900-km transect in the Mississippi River. Across the entire length, diatoms dominated the assemblage (72.6%) followed by cryptophytes (8.7%) and cyanobacteria (7.0%). There were no general trends in the abundances of these major taxa along the length of the river, but individual taxon abundance peaked in different regions. For example, the abundance of taxa genetically similar to Melosira tropica peaked at approximately 60% of all reads 2750 km upstream from the Gulf of Mexico, while taxa similar to Skeletonema marinoi began to increase below the confluence with the Missouri River until it reached approximately 30% of the reads at the Gulf of Mexico. There were four main clusters of samples based on phytoplankton abundance, two above the confluence with the Missouri and two below. Phytoplankton abundance was a poor predictor of NH4+ concentrations in the water, but predicted 61% and 80% of the variation in observed NO3- and PO43- concentrations, respectively. Phytoplankton richness increased with increasing distance along the river, but was best explained by phosphate concentrations and water clarity. Along the Mississippi transect, there was similar structure to phytoplankton and bacterial assemblages, indicating that the two sets of organisms are responding to similar environmental factors. In all, the research here demonstrates the potential utility of metabarcoding for reconstructing aquatic assemblages, which might aid in conducting water quality assessments.

Friday, February 9, 2018

NSERC - Science, action!

NSERC has a great video competition for students which runs annually - Science, action! Students are invited to submit 1:00 min videos describing their research projects. The 15 videos that tell the best stories will receive a cash prize and be featured as part of museum exhibits, science fairs and during larger STEM outreach events at schools.

It is a great initiative encouraging students to think about creative ways to introduce their work to a non-scientific audience. For many scientists it is very difficult to do exactly that in a way that is clear and meaningful. It is much easier to talk about research in a group of peers that speak the same language and share your fascination. However, at one point everyone wants to share a bit of their enthusiasm outside such mostly very small groups. Think of the next family gathering where somebody asks what you are currently doing at work. 

You can't learn such skills early enough and this competition judges the videos based on clarity, creativity, and technical quality. All of the 75 selected contestants are now up on the web and ready for public voting to select 25 for the judge's panel to decide on. Of course I am totally biased towards University of Guelph participants which is why I show the links here (Youtube views are counted so no embedded videos to make sure everything counts). However, it is worth to watch more, there is a lot of creativity among Canada's young academics.




Tuesday, February 6, 2018

Five Postdoctoral Fellowships - Centre for Biodiversity Genomics


The Centre for Biodiversity Genomics (CBG) at the University of Guelph has global leadership in the development and application of DNA-based identification systems for eukaryotes with a focus on the animal kingdom. Based in a 50,000 ft2 facility, its unique research capacity reflects the coupling of one of Canada’s largest genomics platforms with a workforce that includes world-class expertise in biodiversity science, DNA sequencing, and informatics (visit biodiversitygenomics.net for further details). The CBG seeks five highly qualified postdoctoral fellows to join and strengthen a vibrant research and innovation group. Applicants for these positions must possess a passion for problem solving, the ability to work in a team, and a strong publication record. Ideally, candidates should bring prior experience in biodiversity genomics and in scripting (e.g. Perl, Python, R). These positions have the potential for extension beyond an initial two-year term, subject to annual performance reviews. Applications will be reviewed as they are received. Please send your curriculum vitae, the names of three potential referees, and PDF copies of your two most relevant publications to: CBGfellowship@biodiversitygenomics.net

Multi-species Population Genetics/Genomics
High-throughput sequencing (HTS) of taxon assemblages makes it possible to test hypotheses relating to regional patterns of demographic stability, isolation, and admixture. The successful applicant will join a team developing multi-taxa population genomic models to understand community assembly, colonization, and vicariance based on population-level sequencing data collected across entire taxonomic assemblages. Desirable Background: proficiency with methods in community population genetics; statistical skills; experience in analysing large-scale genetic/genomic data.

Species Distribution Modelling and Spatial Mapping
Large data sets generated by HTS can address current challenges in Species Distribution Modelling while extended matrix regression models (e.g. generalized dissimilarity modelling) can analyse and predict spatial patterns of turnover in community composition. The successful applicant will have a unique opportunity to combine metabarcoding results with ancillary information, such as trait data, to develop process-based models that can identify the functional composition of any location and map expected distributions of ecosystem functions and services. Desirable Background: proficiency with GIS software (ideally ArcGIS); statistical analysis in R; experience in distribution modelling and with predictive algorithms.

Mito-nuclear Interactions
Functional incompatibility between mitochondrial- and nuclear-encoded components of the co-adapted gene complex responsible for oxidative phosphorylation is increasingly recognized as an important cause of post-zygotic isolation. The CBG holds DNA extracts from nearly 400,000 species, providing an exceptional resource for examining nuclear-mitochondrial interactions among both closely allied and distantly related taxa. The successful applicant will use these DNA extracts and our genomics facility to extend understanding of the interactions between nuclear and mitochondrial gene products. Desirable Background: molecular background such as primer design and PCR optimization; HTS and sequence analysis; statistical skills; experience in analysing large-scale genetic/genomic data; experience with technologies such as genome skimming and target enrichment as well as combinations of both (e.g. Hyb-Seq).

Bioinformatics/Phylogenomics
Our team has initiated a collaboration that will strengthen two informatics platforms (BOLD, mBRAVE) developed at the CBG with platforms to support phylogenetic analysis and global ecosystem modelling. The successful applicant will join the implementation team to develop methods for estimating divergence times from DNA barcodes, as well as multi-gene and genome-scale datasets as well as the empirical analysis of large molecular datasets to test hypotheses relating to rates of speciation and molecular evolution. Desirable Background: proficiency with phylogenetic and phylogenomic methods; statistical skills; experience in analysing large-scale genetic/genomic data; proficiency in programming and the use of compute clusters; experience in other programming languages.

Molecular Evolution
About 5% of known species possess deep ‘intraspecific’ divergences at mitochondrial markers (including the DNA barcode region). These cases have several possible explanations; each taxon may represent an assemblage of young species or the deep divergence may truly represent variation in a single species that has arisen as a consequence of the merger of phylogeographic isolates or through rate acceleration. The successful applicant will do broad scans of sequence divergence in the nuclear genome, advancing our understanding of species ages and boundaries thereby helping to discriminate between these alternatives. Desirable Background: molecular background such as primer design and PCR optimization; HTS and sequence analysis; statistical skills; experience in analysing large-scale genetic/genomic data; experience with technologies such as RAD sequencing and genome skimming.

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.

Monday, February 5, 2018

Reliable species information


Reproducibility of research and the way especially taxonomic research is cited are both subject of ongoing debates. In an attempt to provide some information on the extent of the problem, especially where both debates intersect, our friend Laurence Packer and colleagues surveyed the treatment of taxonomic information in 567 papers published in nine entomological journals in 2016.
The alarming find was that more than 98% of the publications contain so little species information on the insects being studied that they are essentially impossible to replicate. The proportion of papers that actually provide taxonomic data in sufficient detail is very small. In fact most did not cite identification methods, nor did they state whether identified material had been vouchered. Taxon concepts were almost universally absent in non-taxonomic papers. As the Venn Diagram shows, the combination of all these three factors was provided less than 2% of the time and almost two-thirds of all papers provided none of the three.

Laurence has his own unique way of bringing the point across (quite eloquent I must say): “The way taxonomic data is treated in most papers is so sloppy, it’s equivalent to saying, ‘Statistics were done by a statistician and the results were significant,’ without saying how the results were obtained. That’s clearly unacceptable.

The colleagues suggest changes to the templates used by editors and reviewers and the came up with a list of recommended questions for these templates. If any of these questions are answered with a ‘no’ or an ‘unclear’response, then at least minor revisions should be required. Here they are:
  1. Are Order and Family named in the title, abstract or keywords?
  2. Are the methods used for identification of all studied taxa stated clearly?
  3. Is it clear who did the identifications, are they namedand is their contact information and/or institutional affiliation provided?
  4. Is the literature whereupon these identifications are based cited appropriately? This would include some reference to as thorough a revisional taxon concept statement as possible, preferably from recent revisionsif available.
  5. Are exemplars of all focal species (or all sampled individuals) vouchered in a named repository (ideally with contact person name and accession numbers or other means of ready detection)?

Friday, February 2, 2018

Weekend reads

Some good reads for the weekend and the long winter weeks to come (at least in North America according to a group of highly specialized groundhogs)

Metabarcoding potentially offers a rapid and cheap method of monitoring biodiversity, but real-world applications are few. We investigated its utility in studying patterns of litter arthropod diversity and composition in the tropics. We collected litter arthropods from 35 matched forest-plantation sites across Xishuangbanna, southwestern China. A new primer combination and the MiSeq platform were used to amplify and sequence a wide variety of litter arthropods using simulated and real-world communities. Quality filtered reads were clustered into 3,624 MOTUs at ≥97% similarity and the taxonomy of each MOTU was predicted. We compared diversity and compositional differences between forests and plantations (rubber and tea) for all MOTUs and for eight arthropod groups. We obtained ~100% detection rate after in silico sequencing six mock communities with known arthropod composition. Ordination showed that rubber, tea and forest communities formed distinct clusters. α-diversity declined significantly between forests and adjacent plantations for more arthropod groups in rubber than tea, and diversity of order Orthoptera increased significantly in tea. Turnover was higher in forests than plantations, but patterns differed among groups. Metabarcoding is useful for quantifying diversity patterns of arthropods under different land-uses and the MiSeq platform is effective for arthropod metabarcoding in the tropics.

DNA barcoding utilizes short standardized DNA sequences to identify species and is increasingly used in biodiversity assessments. The technique has unveiled an unforeseeably high number of morphologically cryptic species. However, if speciation has occurred relatively recently and rapidly, the use of single gene markers, and especially the exclusive use of mitochondrial markers, will presumably fail in delimitating species. Therefore, the true number of biological species might be even higher. One mechanism that can result in rapid speciation is hybridization of different species in combination with polyploidization, that is, allopolyploid speciation. In this study, we analyzed the population genetic structure of the polyploid freshwater snail Ancylus fluviatilis, for which allopolyploidization was postulated as a speciation mechanism. DNA barcoding has already revealed four cryptic species within A. fluviatilis (i.e., A. fluviatilis s. str., Ancylus sp. A-C), but early allozyme data even hint at the presence of additional cryptic lineages in Central Europe. We combined COI sequencing with high-resolution genome-wide SNP data (ddRAD data) to analyze the genetic structure of A. fluviatilis populations in a Central German low mountain range (Sauerland). The ddRAD data results indicate the presence of three cryptic species within A. fluviatilis s. str. occurring in sympatry and even syntopy, whereas mitochondrial sequence data only support the existence of one species, with shared haplotypes between species. Our study hence points to the limitations of DNA barcoding when dealing with organismal groups where speciation is assumed to have occurred rapidly, for example, through the process of allopolyploidization. We therefore emphasize that single marker DNA barcoding can underestimate the true species diversity and argue in strong favor of using genome-wide data for species delimitation in such groups.

We used complementary morphological and DNA metabarcoding approaches to characterize soil nematode communities in three cropping systems, conventional till (CT), no-till (NT) and organic (ORG), from a long-term field experiment. We hypothesized that organic inputs to the ORG system would promote a more abundant nematode community, and that the NT system would show a more structured trophic system (higher Bongers MI) than CT due to decreased soil disturbance. The abundance of Tylenchidae and Cephalobidae both showed positive correlations to soil organic carbon and nitrogen, which were highest in the ORG system. The density of omnivore-predator and bacterial-feeding nematodes was reduced in NT soils compared to CT, while some plant-parasitic taxa increased. NT soils had similar Bongers MI values to CT, suggesting they contained nematode communities associated with soils experiencing comparable levels of disturbance. Metabarcoding revealed within-family differences in nematode diversity. Shannon and Simpson's index values for the Tylenchidae and Rhabditidae were higher in the ORG system than CT. Compared to morphological analysis, metabarcoding over- or underestimated the prevalence of several nematode families and detected some families not observed based on morphology. Discrepancies between the techniques require further investigation to establish the accuracy of metabarcoding for characterization of soil nematode communities.

Microbial ecology has been profoundly advanced by the ability to profile complex microbial communities by sequencing of marker genes amplified from environmental samples. However, inclusion of appropriate controls is vital to revealing the limitations and biases of this technique. 'Mock community' samples, in which the composition and relative abundances of community members are known, are particularly valuable for guiding library preparation and data processing decisions. I generated a set of three mock communities using 19 different fungal taxa, and demonstrate their utility by contrasting amplicon sequencing data obtained for the same communities under modifications to PCR conditions during library preparation. Increasing the number of PCR cycles elevated rates of chimera formation, and of errors in the final dataset. Extension time during PCR had little impact on chimera formation, error rate, or observed community structure. Polymerase fidelity impacted error rates significantly. Despite a high error rate, a master mix optimized to minimize amplification bias yielded profiles that were most similar to the true community structure. Bias against particular taxa differed among ITS1 vs. ITS2 loci. Preclustering nearly identical reads substantially reduced error rates, but did not improve similarity to the expected community structure. Inaccuracies in amplicon sequence-based estimates of fungal community structure were associated with amplification bias and size selection processes, as well as variable culling rates among reads from different taxa. In some cases, the numerically dominant taxon was completely absent from final datasets, highlighting the need for further methodological improvements to avoid biased observations of community profiles.

PCR amplification bias is a well-known problem in metagenomic analysis of arthropod communities. In contrast, variation of DNA degradation rates is a largely neglected source of bias. Differential degradation of DNA molecules could cause underrepresentation of taxa in a community sequencing sample. Arthropods are often collected by passive sampling devices, like malaise traps. Specimens in such a trap are exposed to varying periods of suboptimal storage and possibly different rates of DNA degradation. Degradation bias could thus be a significant issue, skewing diversity estimates. Here, we estimate the effect of differential DNA degradation on the recovery of community diversity of Hawaiian arthropods and their associated microbiota. We use a simple DNA size selection protocol to test for degradation bias in mock communities, as well as passively collected samples from actual Malaise traps. We compare the effect of DNA degradation to that of varying PCR conditions, including primer choice, annealing temperature and cycle number. Our results show that DNA degradation does indeed bias community analyses. However, the effect of this bias is of minor importance compared to that induced by changes in PCR conditions. Analyses of the macro and microbiome from passively collected arthropod samples are thus well worth pursuing.

Intense landscaping often alters the plant composition in urban areas. Knowing which plant species that pollinators are visiting in urban areas is necessary for understanding how landscaping impacts biodiversity and associated ecosystem services. The cave nectar bat, Eonycteris spelaea, is an important pollinator for many plants and is often recorded in human-dominated habitats. Previous studies of the diet of E. spelaea relied on morphological identification of pollen grains found in faeces and on the body of bats and by necessity disregarded other forms of digested plant material present in the faeces (i.e., plant juice and remnants). The main objective of this study was to examine the diet of the nectarivorous bat, E. spelaea, roosting in an urban cave at Batu Caves, Peninsular Malaysia by identifying the plant material present in the faeces of bats using DNA metabarcoding.

Thursday, February 1, 2018

Research Associate in Marine Metabarcoding

A colleague and collaborator is still on the hunt for a Research Associate:

The Ecosystems & Environment Research Centre seeks to employ a suitably qualified molecular ecologist for a NERC funded research position as part of a 'Highlight Topic' consortium grant centred on the use of community metabarcoding from environmental DNA collected in a range of marine environments. 

New developments in sequencing, bioinformatics, remote sampling and ecological modelling offer the opportunity to explore and groundtruth the potential of trace DNA to characterise ecosystem structure in the ocean. The successful candidate will work in Professor Mariani's team and will engage with all other project partners in Bristol, Imperial College, the British Antarctic Survey and the Marine Biological Association. 

Check out the job ad.