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Nitrification, the oxidation of ammonia via nitrite to nitrate, has always been considered to be a two-step process catalysed by chemolithoautotrophic microorganisms oxidizing either ammonia or nitrite. No known nitrifier carries out both steps, although complete nitrification should be energetically advantageous. This functional separation has puzzled microbiologists for a century. Here we report on the discovery and cultivation of a completely nitrifying bacterium from the genus Nitrospira , a globally distributed group of nitrite oxidizers. The genome of this chemolithoautotrophic organism encodes the pathways both for ammonia and nitrite oxidation, which are concomitantly activated during growth by ammonia oxidation to nitrate. Genes affiliated with the phylogenetically distinct ammonia monooxygenase and hydroxylamine dehydrogenase genes of Nitrospira are present in many environments and were retrieved on Nitrospira -contigs in new metagenomes from engineered systems. These findings fundamentally change our picture of nitrification and point to completely nitrifying Nitrospira as key components of nitrogen-cycling microbial communities. Until now, the oxidation steps necessary for complete nitrification have always been observed to occur in two separate microorganisms in a cross-feeding interaction; here, together with the study by van Kessel et al ., Daims et al . report the enrichment and characterization of Nitrospira species that encode all of the enzymes necessary to catalyse complete nitrification, a phenotype referred to as “comammox” (for complete ammonia oxidation). Time to rethink nitrification Two groups this week report the enrichment and characterization of Nitrospira species that encode all of the enzymes necessary to catalyse complete nitrification, a phenotype referred to as 'comammox' (for complete ammonia oxidation). Until now, this two-step reaction was thought to involve two organisms in a cross-feeding interaction. Phylogenetic analyses suggest that comammox Nitrospira are present in a number of diverse environments, so these findings have the potential to fundamentally change our view of the nitrogen cycle and open a new frontier in nitrification research.

Background First metabolomics studies have indicated that metabolic fingerprints from accessible tissues might be useful to better understand the etiological links between metabolism and cancer. However, there is still a lack of prospective metabolomics studies on pre-diagnostic metabolic alterations and cancer risk. Methods Associations between pre-diagnostic levels of 120 circulating metabolites (acylcarnitines, amino acids, biogenic amines, phosphatidylcholines, sphingolipids, and hexoses) and the risks of breast, prostate, and colorectal cancer were evaluated by Cox regression analyses using data of a prospective case-cohort study including 835 incident cancer cases. Results The median follow-up duration was 8.3 years among non-cases and 6.5 years among incident cases of cancer. Higher levels of lysophosphatidylcholines (lysoPCs), and especially lysoPC a C18:0, were consistently related to lower risks of breast, prostate, and colorectal cancer, independent of background factors. In contrast, higher levels of phosphatidylcholine PC ae C30:0 were associated with increased cancer risk. There was no heterogeneity in the observed associations by lag time between blood draw and cancer diagnosis. Conclusion Changes in blood lipid composition precede the diagnosis of common malignancies by several years. Considering the consistency of the present results across three cancer types the observed alterations point to a global metabolic shift in phosphatidylcholine metabolism that may drive tumorigenesis.

The ammonia-oxidizing archaeon Nitrososphaera gargensis can utilize cyanate as the only source of energy for growth due to the presence of a cyanase enzyme, and cyanase-encoding nitrite-oxidizing bacteria can work together with cyanase-negative ammonia oxidizers to collectively grow on cyanate via reciprocal feeding; cyanases are widespread in the environment according to metagenomic data sets, pointing to the potential importance of cyanate in the nitrogen cycle. Cyanate an unexpected energy source Nitrification is a central process in the global nitrogen cycle and plays a major role in fertilizer loss in industrial agriculture. Here Michael Wagner and colleagues report that the ammonia-oxidizing archaeon Nitrosphaera gargensis can grow on cyanate as its sole energy source — possibly the only known organism capable of doing so. The archaeon converts cyanate to ammonium and carbon dioxide using a cyanase enzyme. Further investigation of metagenomes shows that cyanases are widespread in the environment. This work highlights the potential importance of cyanate in the nitrogen cycle as a source of reduced nitrogen in the environment. Ammonia- and nitrite-oxidizing microorganisms are collectively responsible for the aerobic oxidation of ammonia via nitrite to nitrate and have essential roles in the global biogeochemical nitrogen cycle. The physiology of nitrifiers has been intensively studied, and urea and ammonia are the only recognized energy sources that promote the aerobic growth of ammonia-oxidizing bacteria and archaea. Here we report the aerobic growth of a pure culture of the ammonia-oxidizing thaumarchaeote Nitrososphaera gargensis 1 using cyanate as the sole source of energy and reductant; to our knowledge, the first organism known to do so. Cyanate, a potentially important source of reduced nitrogen in aquatic and terrestrial ecosystems 2 , is converted to ammonium and carbon dioxide in Nitrososphaera gargensis by a cyanase enzyme that is induced upon addition of this compound. Within the cyanase gene family, this cyanase is a member of a distinct clade also containing cyanases of nitrite-oxidizing bacteria of the genus Nitrospira. We demonstrate by co-culture experiments that these nitrite oxidizers supply cyanase-lacking ammonia oxidizers with ammonium from cyanate, which is fully nitrified by this microbial consortium through reciprocal feeding. By screening a comprehensive set of more than 3,000 publically available metagenomes from environmental samples, we reveal that cyanase-encoding genes clustering with the cyanases of these nitrifiers are widespread in the environment. Our results demonstrate an unexpected metabolic versatility of nitrifying microorganisms, and suggest a previously unrecognized importance of cyanate in cycling of nitrogen compounds in the environment.

In 50% of all infertility cases, the male is subfertile or infertile, however, the underlying mechanisms are often unknown. Even when assisted reproductive procedures such as in vitro fertilization and intracytoplasmic sperm injection are performed, the causes of male factor infertility frequently remain elusive. Since the overall activity of cells is closely linked to their metabolic capacity, we analyzed a panel of 180 metabolites in human sperm and seminal plasma and elucidated their associations with spermiogram parameters. Therefore, metabolites from a group of 20 healthy donors were investigated using a targeted LC-MS/MS approach. The correlation analyses of the amino acids, biogenic amines, acylcarnitines, lysophosphatidylcholines, phosphatidylcholines, sphingomyelins and sugars from sperm and seminal plasma with standard spermiogram parameters revealed that metabolites in sperm are closely related to sperm motility, whereas those in seminal plasma are closely related to sperm concentration and morphology. This study provides essential insights into the metabolome of human sperm and seminal plasma and its associations with sperm functions. This metabolomics technique could be a promising screening tool to detect the factors of male infertility in cases where the cause of infertility is unclear.

The ectoparasite Varroa destructor Anderson and Trueman is the most important parasites of the western honey bee, Apis mellifera L . The most widely currently used treatment uses formic acid (FA), but the understanding of its effects on V . destructor is limited. In order to understand the mechanism of action of FA, its effect on Varroa mites was investigated using proteomic analysis by liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS). V . destructor was collected from honey bee colonies with natural mite infestation before and 24 h after the initiation of FA treatment and subjected to proteome analysis. A total of 2637 proteins were identified. Quantitative analysis of differentially expressed candidate proteins (fold change ≥ 1.5; p ≤ 0.05) revealed 205 differentially expressed proteins: 91 were induced and 114 repressed in the FA-treated group compared to the untreated control group. Impaired protein synthesis accompanied by increased protein and amino acid degradation suggest an imbalance in proteostasis. Signs of oxidative stress included significant dysregulation of candidate proteins of mitochondrial cellular respiration, increased endocytosis, and induction of heat shock proteins. Furthermore, an increased concentration of several candidate proteins associated with detoxification was observed. These results suggest dysregulated cellular respiration triggered by FA treatment as well as an increase in cellular defense mechanisms, including induced heat shock proteins and detoxification enzymes.

Currently, spermiogram analysis is the most relevant method used to clarify the potential infertility of a couple. However, in some cases, the reasons for infertility remain obscure. Smoking is among the factors that have been described to adversely affect male fertility. Smoking increases oxidative stress and thus promotes various pathological processes. Comparative studies, particularly those on metabolomic changes in sperm and seminal plasma caused by smoking, have not yet been published. Thus, the present pilot study aimed at the mass spectrometric characterization of the metabolomes of specimens from both smoking and nonsmoking subjects and the comparison of the evaluated data in terms of sperm apoptosis and spermiogram parameters. The results provided evidence that the conventional spermiogram is not altered in smokers compared to nonsmokers. However, a more careful investigation of sperm cells by metabolomic profiling reveals profound effects of smoking on sperm: first, nitrogen oxide synthase, a marker of oxidative stress, is activated. Second, the uptake of fatty acids into sperm mitochondria is reduced, leading to an impaired energy supply. Third, phenylalanine hydroxylation and tryptophan degradation, which are both indications of altered tetrahydrobiopterin biosynthesis, are reduced. Moreover, flow cytometry approaches indicated increased sperm caspase-3 activity, a sign of apoptosis. The present study clearly shows the negative effects of smoking on semen quality. Especially for idiopathic cases, metabolomic profiling can help to shed light on male subfertility or infertility. Summary sentence The combination of spermiogram parameters with metabolomic profiling reveals oxidative stress markers, reduced mitochondrial fatty acid uptake and altered tetrahydrobiopterin biosynthesis, indicating negative effects of smoking on semen quality. Graphical Abstract

Background Epigenetic age is an estimator of biological age based on DNA methylation; its discrepancy from chronologic age warrants further investigation. We recently reported that greater polyphenol intake benefitted ectopic fats, brain function, and gut microbiota profile, corresponding with elevated urine polyphenols. The effect of polyphenol-rich dietary interventions on biological aging is yet to be determined. Methods We calculated different biological aging epigenetic clocks of different generations (Horvath2013, Hannum2013, Li2018, Horvath skin and blood2018, PhenoAge2018, PCGrimAge2022), their corresponding age and intrinsic age accelerations, and DunedinPACE, all based on DNA methylation (Illumina EPIC array; pre-specified secondary outcome) for 256 participants with abdominal obesity or dyslipidemia, before and after the 18-month DIRECT PLUS randomized controlled trial. Three interventions were assigned: healthy dietary guidelines, a Mediterranean (MED) diet, and a polyphenol-rich, low-red/processed meat Green-MED diet. Both MED groups consumed 28 g walnuts/day (+ 440 mg/day polyphenols). The Green-MED group consumed green tea (3–4 cups/day) and Mankai ( Wolffia globosa strain) 500-ml green shake (+ 800 mg/day polyphenols). Adherence to the Green-MED diet was assessed by questionnaire and urine polyphenols metabolomics (high-performance liquid chromatography quadrupole time of flight). Results Baseline chronological age (51.3 ± 10.6 years) was significantly correlated with all methylation age (mAge) clocks with correlations ranging from 0.83 to 0.95; p  < 2.2e − 16 for all. While all interventions did not differ in terms of changes between mAge clocks, greater Green-Med diet adherence was associated with a lower 18-month relative change (i.e., greater mAge attenuation) in Li and Hannum mAge (beta =  − 0.41, p  = 0.004 and beta =  − 0.38, p  = 0.03, respectively; multivariate models). Greater Li mAge attenuation (multivariate models adjusted for age, sex, baseline mAge, and weight loss) was mostly affected by higher intake of Mankai (beta =  − 1.8; p  = 0.061) and green tea (beta =  − 1.57; p  = 0.0016) and corresponded with elevated urine polyphenols: hydroxytyrosol , tyrosol , and urolithin C ( p  < 0.05 for all) and urolithin A ( p  = 0.08), highly common in green plants. Overall, participants undergoing either MED-style diet had ~ 8.9 months favorable difference between the observed and expected Li mAge at the end of the intervention ( p  = 0.02). Conclusions This study showed that MED and green-MED diets with increased polyphenols intake, such as green tea and Mankai, are inversely associated with biological aging. To the best of our knowledge, this is the first clinical trial to indicate a potential link between polyphenol intake, urine polyphenols, and biological aging. Trial registration ClinicalTrials.gov, NCT03020186.

Background Mediterranean (MED) diet is a rich source of polyphenols, which benefit adiposity by several mechanisms. We explored the effect of the green-MED diet, twice fortified in dietary polyphenols and lower in red/processed meat, on visceral adipose tissue (VAT). Methods In the 18-month Dietary Intervention Randomized Controlled Trial PoLyphenols UnproceSsed (DIRECT-PLUS) weight-loss trial, 294 participants were randomized to (A) healthy dietary guidelines (HDG), (B) MED, or (C) green-MED diets, all combined with physical activity. Both isocaloric MED groups consumed 28 g/day of walnuts (+ 440 mg/day polyphenols). The green-MED group further consumed green tea (3–4 cups/day) and Wolffia globosa (duckweed strain) plant green shake (100 g frozen cubes/day) (+ 800mg/day polyphenols) and reduced red meat intake. We used magnetic resonance imaging (MRI) to quantify the abdominal adipose tissues. Results Participants (age = 51 years; 88% men; body mass index = 31.2 kg/m 2 ; 29% VAT) had an 89.8% retention rate and 79.3% completed eligible MRIs. While both MED diets reached similar moderate weight (MED: − 2.7%, green-MED: − 3.9%) and waist circumference (MED: − 4.7%, green-MED: − 5.7%) loss, the green-MED dieters doubled the VAT loss (HDG: − 4.2%, MED: − 6.0%, green-MED: − 14.1%; p < 0.05, independent of age, sex, waist circumference, or weight loss). Higher dietary consumption of green tea, walnuts, and Wolffia globosa ; lower red meat intake; higher total plasma polyphenols (mainly hippuric acid ), and elevated urine urolithin A polyphenol were significantly related to greater VAT loss ( p < 0.05, multivariate models). Conclusions A green-MED diet, enriched with plant-based polyphenols and lower in red/processed meat, may be a potent intervention to promote visceral adiposity regression. Trial registration ClinicalTrials.gov , NCT03020186

Polycyclic aromatic hydrocarbons (PAH) are widespread and persistent environmental contaminants, especially in oxygen-free environments. The occurrence of anaerobic PAH-degrading bacteria and their underlying metabolic pathways are rarely known. In this study, PAH degraders were enriched in laboratory microcosms under sulfate-reducing conditions using groundwater and sediment samples from four PAH-contaminated aquifers. Five enrichment cultures were obtained showing sulfate-dependent naphthalene degradation. Mineralization of naphthalene was demonstrated by the formation of sulfide concomitant with the depletion of naphthalene and the development of 13C-labeled CO2 from [13C6]-naphthalene. 16S rRNA gene and metaproteome analyses revealed that organisms related to Desulfobacterium str. N47 were the main naphthalene degraders in four enrichment cultures. Protein sequences highly similar to enzymes of the naphthalene degradation pathway of N47 were identified, suggesting that naphthalene was activated by a carboxylase, and that the central metabolite 2-naphthoyl-CoA was further reduced by two reductases. The data indicate an importance of members of the family Desulfobacteraceae for naphthalene degradation under sulfate-reducing conditions in freshwater environments. By combining laboratory microcosms, stable isotope tools, illumina amplicon sequencing and metaproteomics, it is demonstrated that phylotypes affiliated to the known sulfate-reducing hydrocarbon-degrading Desulfobacterium sp. 47 are widespread anaerobic naphthalene degraders.

Background Small Proteins have received increasing attention in recent years. They have in particular been implicated as signals contributing to the coordination of bacterial communities. In genome annotations they are often missing or hidden among large numbers of hypothetical proteins because genome annotation pipelines often exclude short open reading frames or over-predict hypothetical proteins based on simple models. The validation of novel proteins, and in particular of small proteins (sProteins), therefore requires additional evidence. Proteogenomics is considered the gold standard for this purpose. It extends beyond established annotations and includes all possible open reading frames (ORFs) as potential sources of peptides, thus allowing the discovery of novel, unannotated proteins. Typically this results in large numbers of putative novel small proteins fraught with large fractions of false-positive predictions. Results We observe that number and quality of the peptide-spectrum matches (PSMs) that map to a candidate ORF can be highly informative for the purpose of distinguishing proteins from spurious ORF annotations. We report here on a workflow that aggregates PSM quality information and local context into simple descriptors and reliably separates likely proteins from the large pool of false-positive, i.e., most likely untranslated ORFs. We investigated the artificial gut microbiome model SIHUMIx, comprising eight different species, for which we validate 5114 proteins that have previously been annotated only as hypothetical ORFs. In addition, we identified 37 non-annotated protein candidates for which we found evidence at the proteomic and transcriptomic level. Half (19) of these candidates have close functional homologs in other species. Another 12 candidates have homologs designated as hypothetical proteins in other species. The remaining six candidates are short (< 100 AA) and are most likely bona fide novel proteins. Conclusions The aggregation of PSM quality information for predicted ORFs provides a robust and efficient method to identify novel proteins in proteomics data. The workflow is in particular capable of identifying small proteins and frameshift variants. Since PSMs are explicitly mapped to genomic locations, it furthermore facilitates the integration of transcriptomics data and other sources of genome-level information.