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Camille Trottier

Camille Trottier

About

22
Publications
6,602
Reads
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428
Citations
Additional affiliations
October 2022 - present
March 2018 - February 2020
Nantes Université
Position
  • Bioinformatician
Description
  • ANR IMPEKAB
October 2015 - September 2017
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires and University of Nantes
Position
  • Bioinformatician
Description
  • ANR IDEALG Macroalgae metabolic network reconstruction and comparison
Education
September 2012 - September 2015
Nantes Université
Field of study
  • Bioinformatics
September 2008 - September 2010
University of Caen Normandy
Field of study
  • Marine biology - Aquaculture

Publications

Publications (22)
Preprint
Full-text available
The oceans buffer against climate change via biogeochemical cycles underpinned by microbial metabolic networks. While planetary-scale surveys provide baseline microbiome data, inferring metabolic and biogeochemical impacts remains challenging. Here, we constructed a metabolic model for each TARA Ocean metagenome or metatranscriptome, quantified the...
Article
Full-text available
Marine microorganisms form complex communities of interacting organisms that influence central ecosystem functions in the ocean such as primary production and nutrient cycling. Identifying the mechanisms controlling their assembly and activities is a major challenge in microbial ecology. Here, we integrated Tara Oceans meta-omics data to predict ge...
Preprint
Full-text available
Marine microorganisms form complex communities of interacting organisms that influence central ecosystem functions in the ocean such as primary production and nutrient cycling. Identifying the mechanisms controlling their assembly and activities is a major challenge in microbial ecology. Here, we integrated Tara Oceans meta-omics data to predict ge...
Article
Full-text available
Background and aims: Enteroendocrine cells (EECs) and their hormones are essential regulators of whole-body energy homeostasis. EECs sense luminal nutrients and microbial metabolites and subsequently secrete various hormones acting locally or at a distance. Impaired development of EECs during embryogenesis is life-threatening in newborn mice and h...
Preprint
Full-text available
Non-cyanobacteria diazotrophs (NCDs) were shown to dominate in surface waters shifting the long-held paradigm of cyanobacteria dominance and raising fundamental questions on how these putative heterotrophic bacteria thrive in sunlit oceans. Here, we report an unprecedented finding in the widely used model diatom Phaeodactylum tricornutum ( Pt ) of...
Preprint
Background Non-cyanobacteria diazotrophs (NCDs) were shown to dominate in surface waters shifting the long-held paradigm of cyanobacteria dominance and raising fundamental questions on how these putative heterotrophic bacteria thrive in sunlit oceans. The absence of laboratory cultures of these bacteria significantly limits our ability to understan...
Article
Full-text available
Inferring genome-scale metabolic networks in emerging model organisms is challenged by incomplete biochemical knowledge and partial conservation of biochemical pathways during evolution. Therefore, specific bioinformatic tools are necessary to infer biochemical reactions and metabolic structures that can be checked experimentally. Using an integrat...
Article
Brown algae are multicellular photosynthetic stramenopiles that colonize marine rocky shores worldwide. Ectocarpus sp. Ec32 has been established as a genomic model for brown algae. Here we present the genome and metabolic network of the closely related species, Ectocarpus subulatus Kützing, which is characterized by high abiotic stress tolerance. S...
Article
Full-text available
Predicting responses of plankton to variations in essential nutrients is hampered by limited in situ measurements, a poor understanding of community composition, and the lack of reference gene catalogs for key taxa. Iron is a key driver of plankton dynamics and, therefore, of global biogeochemical cycles and climate. To assess the impact of iron av...
Preprint
Full-text available
Inferring genome-scale metabolic networks in emerging model organisms is challenging because of incomplete biochemical knowledge and incomplete conservation of biochemical pathways during evolution. This limits the possibility to automatically transfer knowledge from well-established model organisms. Therefore, specific bioinformatic tools are nece...
Article
Full-text available
Motivation The selection of species exhibiting metabolic behaviors of interest is a challenging step when switching from the investigation of a large microbiota to the study of functions effectiveness. Approaches based on a compartmentalized framework are not scalable. The output of scalable approaches based on a non-compartmentalized modeling may...
Article
Full-text available
Genome-scale metabolic models have become the tool of choice for the global analysis of microorganism metabolism, and their reconstruction has attained high standards of quality and reliability. Improvements in this area have been accompanied by the development of some major platforms and databases, and an explosion of individual bioinformatics met...
Data
Supplementary material. Additional results, methods and figures. (PDF)
Preprint
Full-text available
Brown algae are multicellular photosynthetic organisms belonging to the stramenopile lineage. They are successful colonizers of marine rocky shores world-wide. The genus Ectocarpus, and especially strain Ec32, has been established as a genetic and genomic model for brown algae. A related species, Ectocarpus subulatus Kuetzing, is characterized by i...
Article
Full-text available
Microalgae are an outstanding source of high value products with applications in food, feed or biofuel pro- duction. Among these promising organisms, the haptophyte Tisochrysis lutea is commonly used as a feed for shellfish and shrimps in aquaculture. Its capacity to produce high amounts of docosahexanoic acid and storage lipids is also of economic...
Article
Full-text available
Background The emergence of functions in biological systems is a long-standing issue that can now be addressed at the cell level with the emergence of high throughput technologies for genome sequencing and phenotyping. The reconstruction of complete metabolic networks for various organisms is a key outcome of the analysis of these data, giving acce...
Data
Classification of metabolic compounds according to their degree of connectivity (x-axis) and their role in the functioning of the network For each interval [a, b] shown on the x-axis, the total number of compounds with a degree of connectivity in [a, b] is given at the top of the corresponding bar. The bar is divided into four parts, the height of...
Data
The different inputs needed to run the Conquests tool on the six metabolic networks studied in the paper
Article
Full-text available
Background: Studying transcription factors, which are some of the key players in gene expression, is of outstanding interest for the investigation of the evolutionary history of organisms through lineage-specific features. In this study we performed the first genome-wide TF identification and comparison between haptophytes and other algal lineages....
Conference Paper
Full-text available
Background Studying transcription factors, which are some of the key players in gene expression, is of outstanding interest for the investigation of the evolutionary history of organisms through lineage-specific features. In this study we performed the first genome-wide TF identification and comparison between haptophytes and other algal lineages....
Article
Periphyton is an additional food source in African and Asian brackish and freshwater fish ponds. The present study was a preliminary assessment of periphyton development on artificial substrates in temperate marine ponds. The effects of submersion time, substrate type, water depth, and total or partial sampling methods on the quantity and quality o...

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