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Tragin, M.

Publications and source records attributed to Tragin, M..

4 recordsLinked to original sources

Dynamic of the transcriptomic landscape of OsHV-1 replication in haemocytes of Pacific oyster

Since the 1990s, the Pacific oyster (Magallana gigas) has experienced repeated mortality events associated with Ostreid herpesvirus 1 (OsHV-1). Although the virus has been genomically characterised, its replication cycle and its interactions with the oyster immune system are still not well understood. In particular, little is known about the dynamics of OsHV-1 gene expression and the immune responses of haemocytes from oysters with varying susceptibility to the virus. While some studies have focused on the expression of specific viral and host genes on whole oysters, none have provided a comprehensive analysis of genomes-wide expression across multiple post-infection time points in haemocytes. The lack of oyster cell lines makes studying virus-host interactions in vitro challenging. However, haemocytes, the key immune cells circulating in hemolymph, can be maintained in vitro in the short term and represent a relevant model for analyzing infection dynamics. In this study, haemocytes from two M. gigas families, one highly susceptible and one less susceptible to OsHV-1, were infected in vitro. We tracked the viral and host transcriptomes over a 24-hour period post-infection using high-throughput dual transcriptomics. Our results provide a detailed overview of the OsHV-1 transcriptomic landscape in haemocytes from high and low susceptible M. gigas over time. In addition, WGCNA analysis of host genes expression provided insights into the haemocytes response to infection, and highlighted family-specific immune responses. This comprehensive transcriptomic study is the first to describe virus-host interactions across multiple stages of infection in haemocytes from Pacific oysters showing contrasted survival when exposed to OsHV-1. IMPORTANCEThis study provides valuable insights into the interaction between M. gigas and OsHV-1 by analyzing viral expression and host immune response at the cellular level. By focusing on haemocytes, the key immune cells in Pacific oysters, the results reveal a link between host genotype and viral transcriptomic activity, providing new perspectives on molecular basis of natural susceptibility levels to OsHV-1 infection depending of the genetic background. Overall, our findings deepen the understanding of OsHV-1 gene expression dynamics and antiviral defense mechanisms in key species cultivated worldwide.

bioinformatics↗

In situ community dynamics influences the temperature- and light- dependent succession of seasonal phytoplankton

Temperature and light play a crucial role in regulating phytoplankton blooms in the Ocean. To assess the importance of these two parameters experimentally, microcosms were conducted on seven picoplankton communities (<3 m) sampled in December, March, June and September 2015 and 2016 in the North Western Mediterranean Sea. Each community was exposed to 4 realistic seasonal conditions (December, March, June and September). Metabarcoding was used to investigate the eukaryotic diversity in the 56 microcosms experiments in parallel to high-frequency monitoring of environmental diversity in the sea. The three major lineages identified were the Stramenopiles, Alveolata and Archaeplastida. Overall, the five-day incubations were not sufficient to reshape the initial microbial communities completely. The microcosm outcome was strongly influenced by the dynamics of phytoplankton starting communities. In pre-bloom conditions, phytoplanktonic species were the most sensitive to temperature and light conditions. During a bloom, species belonging to diatoms or Chlorodendrophyceae usually did not respond to light and temperature in microcosms and continued to bloom independently of the applied seasonal condition. Together, these results suggest that light and temperature seasonal conditions play a crucial role in regulating phytoplankton dynamics in pre-bloom conditions and biotic interactions may be preponderant in bloom and post-bloom conditions.

ecology↗

Culturable diversity of Arctic phytoplankton during pack ice melting

Massive phytoplankton blooms develop at the Arctic ice edge, sometimes extending far under the pack ice. An extensive culturing effort was conducted before and during a phytoplankton bloom in Baffin Bay between April and July 2016. Different isolation strategies were applied, including flow cytometry cell sorting, manual single cell pipetting and serial dilution. Although all three techniques yielded the most common organisms, each technique retrieved specific taxa, highlighting the importance of using several methods to maximize the number and diversity of isolated strains. More than 1,000 cultures were obtained, characterized by 18S rRNA sequencing and optical microscopy and de-replicated to a subset of 276 strains presented in this work. Strains grouped into 57 genotypes defined by 100% 18S rRNA sequence similarity. These genotypes spread across five divisions: Heterokontophyta, Chlorophyta, Cryptophyta, Haptophyta and Dinophyta. Diatoms were the most abundant group (193 strains), mostly represented by the genera Chaetoceros and Attheya. The genera Rhodomonas and Pyramimonas were the most abundant non-diatom nanoplankton strains, while Micromonas polaris dominated the picoplankton. Diversity at the class level was higher during the peak of the bloom. Potentially new species were isolated, in particular within the genera Navicula, Nitzschia, Coscinodiscus, Thalassiosira, Pyramimonas, Mantoniella and Isochrysis.\n\nSubmitted to: Elementa: Science of the Anthropocene Date: May 17, 2019

ecology↗

Novel diversity within marine Mamiellophyceae (Chlorophyta) unveiled by metabarcoding

The Ocean Sampling Day (OSD) project provided metabarcoding data for the V4 hyper-variable regions of the 18S rRNA gene from 157 samples collected at 143 mostly coastal stations. In this paper we focus on the class Mamiellophyceae, which was found at nearly all OSD stations and represented 55 % of the green microalgae (Chlorophyta) reads in the 2014 OSD dataset. We performed phylogenetic analyses of unique OSD metabarcodes (ASV, amplicon single variants) and reference GenBank sequences from cultures and from the environment, focusing on the four most represented genera: Ostreococcus (45 % of the Mamiellophyceae reads), Micromonas (34 %), Bathycoccus (10 %) and Mantoniella (8.7 %). These analyses uncovered novel diversity within each genus except Bathycoccus. In Ostreococcus, a new clade (E) with 2 very clear base pair differences compared to the oceanic clade B in the V4 region was the second most represented clade after the coastal Ostreococcus \"lucimarinus\". Within Micromonas, ten clades were found exceeding the 4 species and 2 candidate species already described. Finally, we found 2 new environmental clades of Mantoniella. Each Mamiellophyceae clade had a specific distribution in the OSD dataset suggesting that they are adapted to different ecological niches.

microbiology↗