CE02 - Terre vivante 2023

An integrative taxonomy to unravel the links between ecology and evolution in a-cyanobacteria, a major component of aquatic microbial communities (TaxCy) – TaxCy

An integrative taxonomy combining genotype, phenotype and habitat to decipher the links between ecology and evolution in  -cyanobacteria, a key phytoplanktonic group in aquatic environments

The ubiquity and abundance of α-cyanobacteria makes it possible to combine phenotypic, genotypic, and habitat information to define consistent taxa within this highly diverse group by identifying those that share a high degree of overall similarity to each other with respect to multiple independent characteristics. This integrated taxonomy will allow advances in understanding the links between systematics, function and niche colonization for these key members of aquatic ecosystems.

Challenges and objectives of the TaxCy project

Cyanobacteria are photosynthetic microorganisms that appeared about 3.5 billion years ago and have since radiated into one of the most diverse and widely distributed prokaryotic phyla. Among them, α-cyanobacteria are the most abundant and ubiquitous photosynthetic prokaryotes in marine and freshwater aquatic ecosystems and are thus key contributors to aquatic food webs and biogeochemical cycles. This ecological success, as well as the availability of numerous cultures and full genome sequences, make α-cyanobacteria highly pertinent models in microbial ecology that can be studied across all levels of organization from molecules to ecosystems. During the last decade, the generation of a wealth of omics data has considerably improved our knowledge of the genetic diversity and of the core and accessory metabolic capacities of α-cyanobacteria. However, their long evolutionary history, similar morphologies, high phenotypic plasticity, and high degree of genomic variation among closely related lineages or ecotypes have made it difficult to define ecologically significant taxa, which is a requisite for unraveling the links between phylogenetic diversification, differential functional capacities, and colonization of specific environmental niches. In this context, the main objectives of the TaxCy project are to: • Define and implement a novel systematics of α-cyanobacteria integrating information on the phenotype, genotype and ecology of type strains (or type genomes for uncultured taxa). • Use this optimized classification system to better understand the evolution of α-cyanobacteria and how genotypes differentiate functionally and ecologically from their close relatives in response to environmental drivers; • Describe and model environmental and metabolic niches to decipher the importance of particular reactions and pathways in the survival of the different ecotypes in their specific niches. The TaxCy project will provide novel insights into the links between systematics, function and niche partitioning of α-cyanobacteria, which should help to i) better understand how environmental factors drive speciation processes, ii) reveal the functional specificities of each ecotype and the consequence of these on their geographical distribution, and iii) predict the effects of global change on these essential actors of phytoplankton communities.

The TaxCy project encompasses three research work packages (WPs). WP1 and WP2 will respectively aim at characterizing ‘genotypes’ and ‘phenotypes’ of candidate and validated α-cyanobacteria taxa, while WP3 will aim i) at refining these taxa based on their presence in specific niches, and ii) at describing and modeling niche- and taxa-specific metabolic pathways. The delineation of α-cyanobacteria genera and species and/or ecotypes will be achieved using a multi-step iterative approach. A first set of candidate taxa will be defined using the wealth of genetic data (barcodes, miTags, genomes) already available in public databases, which will gathered and manually curated in local databases, and this will be complemented by genotyping α-cyanobacteria strains available from the Roscoff Culture Collection (www.roscoff-culture-collection.org). Candidate taxa will then be refined by integrating i) their phenotypes, as determined in vivo based on strain characterization (growth rate, biovolume, pigment content, photosynthetic properties, etc.) or in silico by determining functional traits (e.g., nutrient assimilation capacities) from genomic information, and ii) their habitats based on recruitment of marker genes from metagenomes available from a large variety of aquatic ecosystems. Concomitantly, in order to fill diversity gaps, uncultured candidate taxa will tentatively be isolated by sampling geographic sites where these genotypes are known to occur. This polyphasic approach will allow us to test the validity of initial candidate taxa and potentially delineate new ones, then to characterize their phenotypes, genotypes and ecology. This process will be iterated until we attain a series of validated taxa, each including strains (or genomes for uncultivated taxa) sharing characteristics that differentiate them from other taxa. Finally, representative genomes of all validated species will be used to describe and model niche- and taxon/ecotype-specific reactions and pathways, potentially involved in the adaptation of this ubiquitous microbial group to the main ecological niches found in aquatic ecosystems at different spatio-temporal scales. We will notably use a recently developed in-house genome-scale metabolic modeling approach to build realistic metabolic and ecological niche models for each α-cyanobacterial taxon. This will enable us to predict the realized environmental niches of the different taxa and thus go way beyond the mere description of genes related to niche adaptation.

This part will be written later

This part will be written later

Alpha-cyanobacteria are the most abundant and ubiquitous photosynthetic prokaryotes in both marine and freshwater ecosystems. This ecological success as well as the numerous available strains, genomes and metagenomes make them highly pertinent models in microbial ecology, which can be studied at all organization scales from genes to ecosystems. Yet, their long evolutionary history, similar morphologies, high phenotypic plasticity and high degree of functional variation among closely related lineages, have so far made it difficult to classify them in a rigorous and consensual way, while a reliable systematics for this group is critical to unravel the links between phylogenetic diversification, differential functional capacities and colonization of specific environmental niches. Although several standardized classifications based on comparative genomics have recently been proposed for the whole Bacteria domain or more restricted phylogenetic groups, they all have largely ignored the wealth of experimental and in situ data available on alpha-cyanobacteria and therefore appear inappropriate to tackle these questions in this ecologically important group. In this context, the main objectives of the TaxCy project will be to : i) propose an integrative formulation of the species concept for alpha-cyanobacteria by combining the existent and newly generated data on phenotypes, genotypes and habitat, with a particular focus on both marine and freshwater uncultivated taxa that have been largely overlooked so far, ii) determine how the different genotypes differentiate functionally and ecologically from their close (intra-species variability) and more distant relatives (inter-species variability) and iii) describe and model environmental and metabolic niches to decipher the importance of particular reactions and pathways in the survival of the different species in their specific niches. In practice, starting from an initial set of candidate species selected by pre-screening the ca. 500 alpha-cyanobacteria strains of the Roscoff Culture Collection (RCC), the delineation of valid species will be done using an iterative, multi-step approach combining comparative physiology, comparative genomics and metagenomic analyses in order to identify strains that share a number of phenotypic, genotypic, functional and ecological characteristics, which differentiate them from all other species. To fill diversity gaps, the initial set of candidate species will be complemented by targeting specific aquatic environments for isolating new strains that will then be characterized using the same protocol. Each validated species will then be formally described according to the bacteriological code and type strains will be made axenic and deposited in the RCC and other collections. Based on this rigorous and reasoned taxonomy, complemented by the development, update or expansion of large, manually-curated open-access databases for inter-comparison of marker genes (CyanoMarks), genomes (Cyanorak) and traits (CyanoTraits), we will then i) unveil the functional specificities of each species potentially involved in their adaptation to these niches and ii) use the latest developments in genome-scale metabolic modeling to build realistic metabolic and ecological niche models for alpha-cyanobacteria species and higher taxonomic ranks. This will allow us not only to describe, but also predict their realized environmental niches, based on their within-species metabolic capacities as well as to assess the importance of specific metabolic pathways and/or of specific genomic regions on metabolic niches. The TaxCy project will therefore provide novel insights into the relationships between systematics, function and niche partitioning for key members of aquatic ecosystems and should give us a better appraisal of the ecosystemic services potentially offered by alpha-picocyanobacteria.

Project coordination

Laurence Garczarek (Adaptation et diversité en milieu marin)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

LS2N - Nantes Université Laboratoire des Sciences du Numérique de Nantes
AD2M Adaptation et diversité en milieu marin
SBR Station biologique de Roscoff

Help of the ANR 560,233 euros
Beginning and duration of the scientific project: March 2024 - 48 Months

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