Aerobic Archaea in iron-rich springs

Navigating the archaeal frontier: insights and projections from bioinformatic pipelines

Archaea continues to be one of the least investigated domains of life, and in recent years, the advent of metagenomics has led to the discovery of many new lineages at the phylum level. For the majority, only automatic genomic annotations can provide information regarding their metabolic potential and role in the environment. Here, genomic data from 2,978 archaeal genomes was used to perform automatic annotations using bioinformatics tools, alongside synteny analysis. These automatic classifications were done to assess how good these different tools perform in relation to archaeal data. Our study revealed that even with lowered cutoffs, several functional models do not capture the recently discovered archaeal diversity. Moreover, our investigation revealed that a significant portion of archaeal genomes, approximately 42%, remain uncharacterized. In comparison, within 3,235 bacterial genomes, a diverse range of unclassified proteins is obtained, with well-studied organisms like Escherichia coli having a substantially lower proportion of uncharacterized regions, ranging from <5 to 25%, and less studied lineages being comparable to archaea with the range of 35-40% of unclassified regions. Leveraging this analysis, we were able to identify metabolic protein markers, thereby providing insights into the metabolism of the archaea in our dataset. Our findings underscore a substantial gap between automatic classification tools and the comprehensive mapping of archaeal metabolism. Despite advances in computational approaches, a significant portion of archaeal genomes remains unexplored, highlighting the need for extensive experimental validation in this domain, as well as more refined annotation methods. This study contributes to a better understanding of archaeal metabolism and underscores the importance of further research in elucidating the functional potential of archaeal genomes.

Lichen-associated microbial members are prevalent in the snow microbiome of a sub-arctic alpine tundra

Snow is the largest component of the cryosphere, with its cover and distribution rapidly decreasing over the last decade due to climate warming. It is imperative to characterize the snow (nival) microbial communities to better understand the role of microorganisms inhabiting these rapidly changing environments. Here, we investigated the core nival microbiome, the cultivable microbial members, and the microbial functional diversity of the remote Uapishka mountain range, a massif of alpine sub-arctic tundra and boreal forest. Snow samples were taken over a two-month interval along an altitude gradient with varying degree of anthropogenic traffic and vegetation cover. The core snow alpine tundra/boreal microbiome, which was present across all samples, constituted of Acetobacterales, Rhizobiales and Acidobacteriales bacterial orders, and of Mycosphaerellales and Lecanorales fungal orders, with the dominant fungal taxa being associated with lichens. The snow samples had low active functional diversity, with Richness values ranging from 0 to 19.5. The culture-based viable microbial enumeration ranged from 0 to 8.05 × 103 CFUs/mL. We isolated and whole-genome sequenced five microorganisms which included three fungi, one alga, and one potentially novel bacterium of the Lichenihabitans genus; all of which appear to be part of lichen-associated taxonomic clades.

Genomic Insights into the Ecological Role and Evolution of a Novel Thermoplasmata Order, "Candidatus Sysuiplasmatales"

Recent omics studies have provided invaluable insights into the metabolic potential, adaptation, and evolution of novel archaeal lineages from a variety of extreme environments. We utilized a genome-resolved metagenomic approach to recover eight medium- to high-quality metagenome-assembled genomes (MAGs) that likely represent a new order ("Candidatus Sysuiplasmatales") in the class Thermoplasmata from mine tailings and acid mine drainage (AMD) sediments sampled from two copper mines in South China. 16S rRNA gene-based analyses revealed a narrow habitat range for these uncultured archaea limited to AMD and hot spring-related environments. Metabolic reconstruction indicated a facultatively anaerobic heterotrophic lifestyle. This may allow the archaea to adapt to oxygen fluctuations and is thus in marked contrast to the majority of lineages in the domain Archaea, which typically show obligately anaerobic metabolisms. Notably, "Ca. Sysuiplasmatales" could conserve energy through degradation of fatty acids, amino acid metabolism, and oxidation of reduced inorganic sulfur compounds (RISCs), suggesting that they may contribute to acid generation in the extreme mine environments. Unlike the closely related orders Methanomassiliicoccales and "Candidatus Gimiplasmatales," "Ca. Sysuiplasmatales" lacks the capacity to perform methanogenesis and carbon fixation. Ancestral state reconstruction indicated that "Ca. Sysuiplasmatales," the closely related orders Methanomassiliicoccales and "Ca. Gimiplasmatales," and the orders SG8-5 and RBG-16-68-12 originated from a facultatively anaerobic ancestor capable of carbon fixation via the bacterial-type H₄F Wood-Ljungdahl pathway (WLP). Their metabolic divergence might be attributed to different evolutionary paths. IMPORTANCE A wide array of archaea populate Earth's extreme environments; therefore, they may play important roles in mediating biogeochemical processes such as iron and sulfur cycling. However, our knowledge of archaeal biology and evolution is still limited, since the majority of the archaeal diversity is uncultured. For instance, most order-level lineages except Thermoplasmatales, Aciduliprofundales, and Methanomassiliicoccales within Thermoplasmata do not have cultured representatives. Here, we report the discovery and genomic characterization of a novel order, "Ca. Sysuiplasmatales," within Thermoplasmata in extremely acidic mine environments. "Ca. Sysuiplasmatales" are inferred to be facultatively anaerobic heterotrophs and likely contribute to acid generation through the oxidation of RISCs. The physiological divergence between "Ca. Sysuiplasmatales" and closely related Thermoplasmata lineages may be attributed to different evolutionary paths. These results expand our knowledge of archaea in the extreme mine ecosystem.