Functional diversity of microbial eukaryotes in a meromictic lake: Coupling between metatranscriptomic and a trait-based approach.

The advent of high-throughput sequencing has led to the discovery of a considerable diversity of microbial eukaryotes in aquatic ecosystems, nevertheless, their function and contribution to the trophic food web functioning remain poorly characterized especially in freshwater ecosystems. Based on metabarcoding data obtained from a meromictic lake ecosystem (Pavin, France), we performed a morpho-physio-phenological traits-based approach to infer functional groups of microbial eukaryotes. Metatranscriptomic data were also analysed to assess the metabolic potential of these groups across the diel cycle, size fraction, sampling depth, and periods. Our analysis highlights a huge microbial eukaryotic diversity in the monimolimnion characterized by numerous saprotrophs expressing transcripts related to sulfur and nitrate metabolism as well as dissolved and particulate organic matter degradation. We also describe strong seasonal variations of microbial eukaryotes in the mixolimnion, especially for parasites and mixoplankton. It appears that the water mixing (occurring during spring and autumn) which benefits photosynthetic host communities also promotes parasitic fungi dissemination and over-expression of genes involved in the zoospore phototaxis and stage transition in the parasitic cycle. Mixoplanktonic haptophytes over-expressing photosynthesis-, endocytosis- and phagosome-linked genes under nutrient limitation also suggest that phagotrophy may provide them an advantage over non-phagotrophic phytoplankton.

Single Cell Analysis Reveals a New Microsporidia-Host Association in a Freshwater Lake.

Microsporidia are a large group of obligate intracellular eukaryotic parasites. Recent studies suggest that their diversity can be huge in freshwater lake ecosystems especially in the < 150-µm size fraction. However, little is known about their hosts and therefore their impact on the trophic food web functioning. In this study, single cell analysis and fluorescence microscopy were used to detect new host-parasite association within rotifer communities in lake Aydat (France). Our analysis showed the existence of a potential new species belonging to the Crispospora genus able of infecting the rotifer Kellicottia with a high prevalence (42.5%) suggesting that Microsporidia could have a great impact on the rotifer populations' regulation in lakes.

A pan-genomic approach reveals novel Sulfurimonas clade in the ferruginous meromictic Lake Pavin.

The permanently anoxic waters in meromictic lakes create suitable niches for the growth of bacteria using sulphur metabolisms like sulphur oxidation. In Lake Pavin, the anoxic water mass hosts an active cryptic sulphur cycle that interacts narrowly with iron cycling, however the metabolisms of the microorganisms involved are poorly known. Here we combined metagenomics, single-cell genomics, and pan-genomics to further expand our understanding of the bacteria and the corresponding metabolisms involved in sulphur oxidation in this ferruginous sulphide- and sulphate-poor meromictic lake. We highlighted two new species within the genus Sulfurimonas that belong to a novel clade of chemotrophic sulphur oxidisers exclusive to freshwaters. We moreover conclude that this genus holds a key-role not only in limiting sulphide accumulation in the upper part of the anoxic layer but also constraining carbon, phosphate and iron cycling.

Comparison of methane yield of a novel strain of Methanothermobacter marburgensis in pure and mixed adapted culture derived from a methanation bubble column bioreactor.

The ongoing discussion regarding the use of mixed or pure cultures of hydrogenotrophic methanogenic archaea in Power-to-Methane (P2M) bioprocess applications persists, with each option presenting its own advantages and disadvantages. To address this issue, a comparison of methane (CH4) yield between a novel methanogenic archaeon belonging to the species Methanothermobacter marburgensis (strain Clermont) isolated from a biological methanation column, and the community from which it originated, was conducted. This comparison included the type strain M. marburgensis str. Marburg. The evaluation also examined how exposure to oxygen (O2) for up to 240 min impacted the CH4 yield across these cultures. While both Methanothermobacter strains exhibit comparable CH4 yield, slightly higher than that of the mixed adapted culture under non-O2-exposed conditions, strain Clermont does not display the lag time observed for strain Marburg.

FreshOmics: A manually curated and standardized -omics database for investigating freshwater microbiomes.

Freshwater is a critical resource for human survival but severely threatened by anthropogenic activities and climate change. These changes strongly impact the abundance and diversity of the microbial communities which are key players in the functioning of these aquatic ecosystems. Although widely documented since the emergence of high-throughput sequencing approaches, the information on these natural microbial communities is scattered among thousands of publications and it is therefore difficult to investigate the temporal dynamics and the spatial distribution of microbial taxa within or across ecosystems. To fill this gap and in the FAIR principles context we built a manually curated and standardized microbial freshwater -omics database (FreshOmics). Based on recognized ontologies (ENVO, MIMICS, GO, ISO), FreshOmics describes 29 different types of freshwater ecosystems and uses standardized attributes to depict biological samples, sequencing protocols and article attributes for more than 2487 geographical locations across 71 countries around the world. The database contains 24,808 sequence identifiers (i.e., Run_Id / Exp_ID, mainly from SRA/DDBJ SRA/ENA, GSA and MG-RAST repositories) covering all sequence-based -omics approaches used to investigate bacteria, archaea, microbial eukaryotes, and viruses. Therefore, FreshOmics allows accurate and comprehensive analyses of microbial communities to answer questions related to their roles in freshwater ecosystems functioning and resilience, especially through meta-analysis studies. This collection also highlights different sort of errors in published works (e.g., wrong coordinates, sample type, material, spelling).