Abstract Background Three methods were developed for the application of stoichiometry-based network analysis approaches including elementary mode analysis to the study of mass and energy flows in microbial communities. Each has distinct advantages and disadvantages suitable for analyzing systems with different degrees of complexity and a priori knowledge. These approaches were tested and compared using data from the thermophilic, phototrophic mat communities from Octopus and Mushroom Springs in Yellowstone National Park (USA). The models were based on three distinct microbial guilds: oxygenic phototrophs, filamentous anoxygenic phototrophs, and sulfate-reducing bacteria. Two phases, day and night, were modeled to account for differences in the sources of mass and energy and the routes available for their exchange. Results The in silico models were used to explore fundamental questions in ecology including the prediction of and explanation for measured relative abundances of primary producers in the mat, theoretical tradeoffs between overall productivity and the generation of toxic by-products, and the relative robustness of various guild interactions. Conclusion The three modeling approaches represent a flexible toolbox for creating cellular metabolic networks to study microbial communities on scales ranging from cells to ecosystems. A comparison of the three methods highlights considerations for selecting the one most appropriate for a given microbial system. For instance, communities represented only by metagenomic data can be modeled using the pooled method which analyzes a community's total metabolic potential without attempting to partition enzymes to different organisms. Systems with extensive a priori information on microbial guilds can be represented using the compartmentalized technique, employing distinct control volumes to separate guild-appropriate enzymes and metabolites. If the complexity of a compartmentalized network creates an unacceptable computational burden, the nested analysis approach permits greater scalability at the cost of more user intervention through multiple rounds of pathway analysis.
The story of life through time may be told as a process of sustained evolution of catalysts that allow energy and matter transfer to occur in accordance with ecological niche occupation. Thus the assembly and adaptation of catalysts suitable for life on Earth poses questions as to how life emerged and became what it is today. Within metabolism, seemingly simple reactions such as nitrogen fixation, carbon reduction, and the interconversion of molecular hydrogen and protons are limiting for a variety of processes, and are presumed to have been limiting since life’s inception. Within this framework, we present new insights as to the nature of the assembly of the [FeFe]- and Hmd hydrogenases ‐ enzymes capable of oxidizing and synthesizing molecular hydrogen. This reactivity is enabled in part by the presence of unique organo-metallic cofactors that may exist as biologically modified iron sulfide mineral motifs. Using a combination of biochemical, spectroscopic, and bio-informatics techniques we have identified common mechanisms by which modifications are imposed on evolutionarily unrelated enzymes. In addition, our results provide insights into radical mediated cluster biosynthesis and identify novel reactivities for radical generating enzymes that can be placed in the context of relevant to prebiotic chemistry. These observations suggest that radical chemistry may have played a salient role in the modification of the complex metal-sulfide containing catalysts requisite in the origin and evolution of life.
Ardenticatena maritima strain 110S is a filamentous bacterium isolated from an iron-rich coastal hydrothermal field, and it is a unique isolate capable of dissimilatory iron or nitrate reduction among the members of the bacterial phylum Chloroflexi. Here, we report the ability of A. maritima strain 110S to utilize electrodes as a sole electron acceptor and donor when coupled with the oxidation of organic compounds and nitrate reduction, respectively. In addition, multicellular filaments with hundreds of cells arranged end-to-end increased the extracellular electron transfer (EET) ability to electrodes by organizing filaments into bundled structures, with the aid of microbially reduced iron oxide minerals on the cell surface of strain 110S. Based on these findings, together with the attempt to detect surface-localized cytochromes in the genome sequence and the demonstration of redox-dependent staining and immunostaining of the cell surface, we propose a model of bidirectional electron transport by A. maritima strain 110S, in which surface-localized multiheme cytochromes and surface-associated iron minerals serve as a conduit of bidirectional EET in multicellular filaments.
Comparative genomics and molecular phylogenetics are foundational for understanding biological evolution. Although many studies have been made with the aim of understanding the genomic contents of early life, uncertainty remains. A study by Weiss et al. (Weiss MC, Sousa FL, Mrnjavac N, Neukirchen S, Roettger M, Nelson-Sathi S, Martin WF. 2016. The physiology and habitat of the last universal common ancestor. Nat Microbiol. 1(9):16116.) identified a number of protein families in the last universal common ancestor of archaea and bacteria (LUCA) which were not found in previous works. Here, we report new research that suggests the clustering approaches used in this previous study undersampled protein families, resulting in incomplete phylogenetic trees which do not reflect protein family evolution. Phylogenetic analysis of protein families which include more sequence homologs rejects a simple LUCA hypothesis based on phylogenetic separation of the bacterial and archaeal domains for a majority of the previously identified LUCA proteins (∼82%). To supplement limitations of phylogenetic inference derived from incompletely populated orthologous groups and to test the hypothesis of a period of rapid evolution preceding the separation of the domains, we compared phylogenetic distances both within and between domains, for thousands of orthologous groups. We find a substantial diversity of interdomain versus intradomain branch lengths, even among protein families which exhibit a single domain separating branch and are thought to be associated with the LUCA. Additionally, phylogenetic trees with long interdomain branches relative to intradomain branches are enriched in information categories of protein families in comparison to those associated with metabolic functions. These results provide a new view of protein family evolution and temper claims about the phenotype and habitat of the LUCA.
Anaerobic methane oxidation in archaea is often presented to operate via a pathway of "reverse methanogenesis". However, if the cumulative reactions of a methanogen are run in reverse there is no apparent way to conserve energy. Recent findings suggest that chemiosmotic coupling enzymes known from their use in methylotrophic and acetoclastic methanogens—in addition to unique terminal reductases—biochemically facilitate energy conservation during complete CH4 oxidation to CO2. The apparent enzyme modularity of these organisms highlights how microbes can arrange their energy metabolisms to accommodate diverse chemical potentials in various ecological niches, even in the extreme case of utilizing "reverse" thermodynamic potentials.
Abstract Sulfur isotope fractionation resulting from microbial sulfate reduction (MSR) provides some of the earliest evidence of life, and secular variations in fractionation values reflect changes in biogeochemical cycles. Here we determine the sulfur isotope effect of the enzyme adenosine phosphosulfate reductase (Apr), which is present in all known organisms conducting MSR and catalyzes the first reductive step in the pathway and reinterpret the sedimentary sulfur isotope record over geological time. Small fractionations may be attributed to low sulfate concentrations and/or high respiration rates, whereas fractionations greater than that of Apr require a low chemical potential at that metabolic step. Since Archean sediments lack fractionation exceeding the Apr value of 20‰, they are indicative of sulfate reducers having had access to ample electron donors to drive their metabolisms. Large fractionations in post-Archean sediments are congruent with a decline of favorable electron donors as aerobic and other high potential metabolic competitors evolved.
We report the co-polymerization of glycol nucleic acid (GNA) monomers with unsubstituted and substituted dicarboxylic acid linkers under plausible early Earth aqueous dry-down conditions. Both linear and branched co-polymers are produced. Mechanistic aspects of the reaction and potential roles of these polymers in prebiotic chemistry are discussed.
ABSTRACT Scaling laws are a powerful way to compare genomes because they put all organisms onto a single curve and reveal non-trivial generalities as genomes change in size. The abundance of functional categories in a given genome scales with genome size, suggesting that universal constraints shape category abundance. Here we look across the tree of life to understand how genome evolution may be related to functional scaling. We revisit previous observations of functional genome scaling with an expanded taxonomy by analyzing 3726 bacterial, 220 archaeal, and 79 unicellular eukaryotic genomes. We find that for some functional classes, scaling is best described by multiple exponents, revealing previously unobserved shifts in scaling as genomes grow or contract. Furthermore, scaling varies between phyletic groups and is less universal than previously thought, with scaling shifts varying uniquely between domains and scaling exponents varying uniquely between phyla. We also find that individual phyla frequently span scaling exponents of functional classes, revealing that individual clades can move across scaling exponents. Across the tree of life, variability in functional scaling is not accounted for by genome phylogeny, suggesting that physiological and/or cell plan outweighs phylogeny.
It has been over a decade now since it was revealed that the metal containing active sites of hydrogenases possess carbonyl and cyanide ligands bound to iron. The presence of these ligands in hydrogenases came as a surprise and to-date these ligands have not been observed to be associated with any other enzymatic metallocenter. The elucidation of the structures of these unique metalloenzymes and their associated metal clusters created opportunity for a number of different lines of research. For synthetic chemists, the structures of hydrogenase active sites have provided attractive targets for syntheses that advance our understanding of the electronic structure and reactivity of these unique enzyme active sites. These efforts contribute to the synthesis of first row transition metal catalysts for hydrogen oxidation and hydrogen production that could have significant impacts on alternative and renewable energy solutions. Although effective synthetic approaches have been identified to generate models with a high degree of similarity to these active sites, the details of how these metal clusters are synthesized biochemically have not been resolved. Since hydrogen metabolism is presumed to be an early feature in the energetics of life and hydrogen metabolizing organisms can be traced very early in molecular phylogeny, the metal clusters at hydrogenase active sites are presumed to be among the earliest of known co-factors. Comparison of mineral based precursors and synthetic cluster analog chemistry to what is observed in contemporary biological systems may shed light on how proto-metabolically relevant catalysts first arose prebiotically by the processes of adoption of pre-existing functionality and ligand assisted catalysis.
