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Sanchez, P.

Publications and source records attributed to Sanchez, P..

At least 19 recordsLinked to original sources

A cold-adapted Cas9 nuclease from the deep ocean

The abundance of CRISPR systems in bacteria and archaea fuels the search for Cas nucleases that perform where established enzymes fail. Deep Ocean 1 Cas9 (DO1Cas9) is to our knowledge the first Cas9 nuclease characterized from the deep ocean, recovered from a metagenomic sample at 1,500 m depth in the Atlantic Ocean. DO1Cas9 shows cold-adapted structural flexibility, thermal susceptibility, salt-dependent stability, higher specificity than SpCas9 and cleaves double-stranded DNA efficiently under cold conditions where mesophilic SpCas9 retains only residual activity. DO1Cas9 edits genomes in diverse organisms such as Caenorhabditis elegans, zebrafish, the marine tunicate Oikopleura dioica, and the malaria parasite Plasmodium falciparum. In the marine bacterium Marinomonas mediterranea, DO1Cas9 programmed against an invading phage reduced plaquing efficiency about 10-fold more than SpCas9. These results expand the CRISPR-Cas9 toolbox with a nuclease for cold-chain editing and marine biotechnology.

genetics↗

Paenitracins, a novel family of bacitracin-type nonribosomal peptide antibiotics produced by plant-associated Paenibacillus species

The growing threat of antimicrobial resistance necessitates the discovery of novel antibiotics with activity against drug-resistant pathogens. Members of the genus Paenibacillus are a rich source of nonribosomal peptides (NRPs), including well-known antibiotics such as polymyxins, paenibacterin and tridecaptins. Here we use a targeted Mass-QL-based mass spectrometry approach to identify the NRPs produced by a collection of 227 taxonomically diverse plant-associated Paenibacillus strains, providing detailed insights into their NRP-producing potential. Using MassQL to zoom in specifically on NRPs containing basic amino acids, we discovered a novel family of bacitracins, which we designated paenitracins. The paenitracins are the first bacitracin-type peptides reported in Paenibacillus, and are distinguished from canonical bacitracins by three previously unseen amino acid substitutions. The paenitracins exhibit potent activity against Gram-positive pathogens, including vancomycin-resistant Enterococcus faecium E155. Our work provides a novel metabolomics- and genomics-guided workflow for the discovery of bioactive NRPs as a strategy to prioritize natural product chemical space and accelerate antibiotic discovery. IMPORTANCEMembers of the genus Paenibacillus play an important role in soil ecology, producing a range of important nonribosomal peptides (NRPs) that protect their eukaryotic host. A collection of plant-associated Paenibacillus spp. was analyzed for their phylogenetic and metabolic diversity. We developed a novel discovery pipeline that combines feature-based molecular networking with MassQL queries to systematically prioritize bioactive NRPs containing basic amino acids. Thus we provide a comprehensive genus-wide inventory of NRPs produced by Paenibacillus spp. We thereby identified the paenitracins, a new subfamily of bacitracins active against multidrug-resistant Gram-positive pathogens. Our pipeline enables the discovery of novel peptidic natural products to accelerate the prioritization of chemical space for antibiotics.

microbiology↗

Widespread and Abundant CRISPR-Cas Systems in the Deep Ocean

CRISPR-Cas systems have revolutionized modern biology. Most CRISPR-Cas systems in use for biotechnological applications derive from cultivated bacteria, but evidence suggests that environmental microbiomes harbor a large untapped diversity of these systems. Yet, our understanding of which environmental and biological factors drive the prevalence of CRISPR-Cas systems in the oceans remains limited. A search for CRISPR-Cas systems was conducted among 176 globally-distributed marine microbial metagenomes from the Malaspina expedition, which sampled both free-living and particle-attached microbiomes with emphasis on the deep ocean. We show that CRISPR-Cas systems are proportionally more abundant among microbiomes from the deep ocean than in the photic layers and among free-living microbes compared to those attached to particles, reflecting the higher concentrations of archaea and their viruses in these habitats. We identified 1,146 CRISPR-cas loci, some of which displayed unique loci architectures. From these loci, a total of 48 Cas9 proteins were identified, many of which are potentially novel. These discoveries expand the scope of CRISPR-Cas diversity and point at the deep-sea as a rich reservoir of these resources, which helps guide future bioprospecting efforts.

microbiology↗

Discovery of a novel antibiotic class targeting the enolase of Acinetobacterbaumannii

High-throughput screening studies provide an additional approach to discovering repurposed drugs for antimicrobial treatments. In this work, we report the identification of ENOblock, an anticancer drug, as a novel antibiotic class. We computationally and experimentally validated that ENOblock synergizes with colistin, the last resort antibiotic, the colistin. Additionally, we identified enolase as the potential bacterial target for ENOblock. The in silico and in vitro antibacterial activity of ENOblock translated into potent in vivo efficacy in animal infection model. Collectively, the preclinical data support the selection of ENOblock as a promising candidate for antimicrobial development, with the potential to address the urgent threat of infections caused by Acinetobacter baumannii.

microbiology↗

DiatomNet: An automatic Diatom genus identification system through microscopic images and Deep Learning

Diatoms are microscopic organisms belonging to the algae kingdom. They adapt to the ecosystem and modify their shape and texture depending on hundreds of ecosystem variables. Hence, these micro-organism are considered as the most accurate indicator to measure water quality. Commonly, the recognition of the class of diatoms in a microscopic image has always been done by expert biologists knowledgeable about the morphometric characteristics of these organisms. This work proposes a new automatic diatom genus recognition system from microscopic images using state-of-the-art deep CNNs. In particular, 1) we developed a public high quality database organized into 44 genus-level diatom classes, 2) designed a robust diatom classification model, and 3) provided a user-friendly interface to utilize our automatic diatom recognition tool.

bioinformatics↗

Confounder-aware foundation modeling for accurate phenotype profiling in cell imaging

Image-based profiling is rapidly transforming drug discovery, offering unprecedented insights into cellular responses. However, experimental variability hinders accurate identification of mechanisms of action (MoA) and compound targets. Existing methods commonly fail to generalize to novel compounds, limiting their utility in exploring uncharted chemical space. To address this, we present a confounder-aware foundation model integrating a causal mechanism within a latent diffusion model, enabling the generation of balanced synthetic datasets for robust biological effect estimation. Trained on over 13 million Cell Painting images and 107 thousand compounds, our model learns robust cellular phenotype representations, mitigating confounder impact. We achieve state-of-the-art MoA and target prediction for both seen (0.66 and 0.65 ROC-AUC) and unseen compounds (0.65 and 0.73 ROC-AUC), significantly surpassing real and batch-corrected data. This innovative framework advances drug discovery by delivering robust biological effect estimations for novel compounds, potentially accelerating hit expansion. Our model establishes a scalable and adaptable foundation for cell imaging, holding the potential to become a cornerstone in data-driven drug discovery.

bioengineering↗

Prefrontal 5α-reductase 2 mediates male-specific acute stress response

A key response to acute stress is the increased brain synthesis of the neurosteroid allopregnanolone (AP). While the rate-limiting step of this reaction is catalyzed by 5-reductase (5R), the role of its two primary isoenzymes, 5R1 and 5R2, in stress reactivity remains unclear. Here, we found that acute stress led to increased levels of 5R2, but not 5R1, in the medial prefrontal cortex (mPFC) of male, but not female, rats. Downregulation of 5R2 in the mPFC significantly reduced stress response in males, and similar sexual dimorphic effects were observed in a novel line of 5R2 knockout rats. Notably, 5R1 regulated baseline AP synthesis, while 5R2 enabled AP production under stress. Acute AP administration restored stress response in 5R2 knockdown rats. Single-nucleus transcriptomics showed that 5R2 enabled stress-induced protein translation in neurons and glia. These results highlight the crucial role of 5R2 in mediating sex-specific differences in acute stress reactivity.

neuroscience↗

Marine picoplankton metagenomes from eleven vertical profiles obtained by the Malaspina Expedition in the tropical and subtropical oceans

The Ocean microbiome has a crucial role on Earths biogeochemical cycles, but also represents a tremendous potential for biological applications as part of the bluebiotechnology. During the last decade, global cruises such as Tara Oceans or the Malaspina Expedition have expanded our knowledge on the diversity and genetic repertoire of marine microbes. Nevertheless, there is still a gap of knowledge on broad scale patterns between photic and bathypelagic dark ocean microbes derived from the lack of detailed vertical profiles covering contrasting oceans depth regions. Here we present a dataset of 76 microbial metagenomes of the picoplankton size fraction (0.2-3.0 m) collected in 11 stations along the Malaspina Expedition circumnavigation that cover vertical profiles sampling at 7 depths, from the surface to the 4000 m deep (or the sea floor in shallower waters). This Malaspina Microbial Vertical Profiles metagenomes (MProfile) dataset produced 1.66 Tbp of raw DNA sequences that assembled into a total 25.3 Gbp. After gene prediction and annotation, we built a 46.3 million non-redundant gene compendium with their corresponding annotations (M-GeneDB-VP), clustered at 95% sequence similarity. This dataset will be a valuable resource for exploring the functional and taxonomic connectivity between the photic and bathypelagic tropical and subtropical ocean at a global scale, while increasing our general knowledge on the Ocean microbiome.

microbiology↗

Abundant deep ocean heterotrophic bacteria are culturable

Traditional culture techniques usually retrieve only a small fraction of the environmental marine microbial diversity, which mainly belong to the so-called rare biosphere. However, this paradigm has not been fully tested at a broad scale, especially in the deep ocean. Here, we examined the fraction of heterotrophic bacterial communities in photic and deep ocean layers that could be recovered by culture-dependent techniques at a large scale. We compared 16S rRNA gene sequences from a collection of 2003 cultured isolates of heterotrophic marine bacteria with global 16S rRNA metabarcoding datasets (16S TAGs) covering surface, mesopelagic and bathypelagic ocean samples that included 16 of the 22 samples used for isolation. These global datasets represent 60,322 unique 16S amplicon sequence variants (ASVs). Our results reveal a significantly higher proportion of isolates identical to ASVs in deeper ocean layers reaching up to a 28% of the 16S TAGs of the bathypelagic microbial communities, which included the isolation of 3 of the top 10 most abundant 16S ASVs in the global bathypelagic ocean, related to the genera Sulfitobacter, Halomonas and Erythrobacter. These cultured isolates contributed differently to the prokaryotic communities across different plankton size fractions, recruiting between 38% in the free-living size fraction (0.2-0.8 m) and up to 45% in the largest plankton size fraction (20-200 m) in the bathypelagic ocean. Our findings support the hypothesis that sinking particles in the bathypelagic realm act as resource-rich habitats, suitable for the growth of heterotrophic bacteria with a copiotroph lifestyle that can be cultured, and that these cultivable bacteria can also thrive as free-living bacteria.

ecology↗

Water mass age structures the auxiliary metabolic gene content of free-living and particle-attached deep ocean viral communities

Viruses play important roles on the biogeochemical cycles that take place in the ocean.Yet, deep ocean viruses are one of the most under-explored fractions of the global biosphere. Little is known about the environmental factors that control the composition and functioning of their communities, or how they interact with their free-living or particle-attached microbial hosts. Thus, we analysed 58 viral communities associated to size fractionated free-living (0.2-0.8 m) and particle-attached (0.8-20 m) cellular metagenomes from bathypelagic (2,150-4,018 m deep) microbiomes obtained during the Malaspina expedition. These metagenomes yielded 6,631 viral sequences, 91% of which were novel, and 67 represented high-quality genomes. Taxonomic classification assigned 53% of the viral sequences to families of tailed viruses from the order Caudovirales. Computational host prediction associated 886 viral sequences to dominant members of the deep ocean microbiome, such as Alphaproteobacteria (284), Gammaproteobacteria (241), SAR324 (23), Marinisomatota (39), and Chloroflexota (61). Free-living and particle-attached viral communities had markedly distinct taxonomic composition, host prevalence, and auxiliary metabolic gene content, which led to the discovery of novel viral encoded metabolic genes involved in the folate and nucleotide metabolisms. Water mass age emerged as an important factor driving viral community composition. We postulated this was due to changes in quality and concentration of dissolved organic matter acting on the host communities, leading to an increase of viral auxiliary metabolic genes associated with energy metabolism among older water masses. These results shed light on the mechanisms by which environmental gradients of deep ocean ecosystems structure the composition and functioning of free-living and particle-attached viral communities.

microbiology↗

Genomic accordions may hold the key to Monkeypox Clade IIb's increased transmissibility

The currently expanding monkeypox epidemic is caused by a subclade IIb descendant of a monkeypox virus (MPXV) lineage traced back to Nigeria in 1971. In contrast to monkeypox cases caused by clade I and subclade IIa MPXV, the prognosis of current cases is generally favorable, but person-to-person transmission is much more efficient. MPXV evolution is driven by selective pressure from hosts and loss of virus-host interacting genes. However, there is no satisfactory genetic explanation using single-nucleotide polymorphisms (SNPs) for the observed increased MPXV transmissibility. We hypothesized that key genomic changes may occur in the genomes low-complexity regions (LCRs), which are highly challenging to sequence and have been dismissed as uninformative. Using a combination of highly sensitive techniques, we determined a first high-quality MPXV genome sequence of a representative of the current epidemic with LCRs resolved at unprecedented accuracy. This effort revealed significant variation in short-tandem repeats within LCRs. We demonstrate that LCR entropy in the MPXV genome is significantly higher than that of SNPs and that LCRs are not randomly distributed. In silico analyses indicate that expression, translation, stability, or function of MPXV orthologous poxvirus genes (OPGs) 153, 204, and 208 could be affected in a manner consistent with the established "genomic accordion" evolutionary strategies of orthopoxviruses. Consequently, we posit that genomic studies focusing on phenotypic MPXV clade-/subclade-/lineage-/strain differences should change their focus to the study of LCR variability instead of SNP variability.

genomics↗

A consensus protocol for the recovery of mercury methylation genes from metagenomes

Mercury methylation genes (hgcAB) mediate the formation of the toxic methylmercury and have been identified from diverse environments, including freshwater and marine ecosystems, Arctic permafrost, forest and paddy soils, coal-ash amended sediments, chlor-alkali plants discharges and geothermal springs. Here we present the first attempt at a standardized protocol for the detection, identification and quantification of hgc genes from metagenomes. Our Hg-MATE (Hg-cycling Microorganisms in Aquatic and Terrestrial Ecosystems) database, a catalogue of hgc genes, provides the most accurate information to date on the taxonomic identity and functional/metabolic attributes of microorganisms responsible for Hg methylation in the environment. Furthermore, we introduce "marky-coco", a ready-to-use bioinformatic pipeline based on de novo single-metagenome assembly, for easy and accurate characterization of hgc genes from environmental samples. We compared the recovery of hgc genes from environmental metagenomes using the marky-coco pipeline with an approach based on co-assembly of multiple metagenomes. Our data show similar efficiency in both approaches for most environments except those with high diversity (i.e., paddy soils) for which a co-assembly approach was preferred. Finally, we discuss the definition of true hgc genes and methods to normalize hgc gene counts from metagenomes.

microbiology↗

Bacterioplankton taxa compete for iron along the early spring-summer transition in the Arctic Ocean

Microbial assemblages under sea ice of Dease Strait, Canadian Arctic, were sequenced for metagenomes and metatranscriptomes of the small size fraction (0.2 to 3 {micro}m). The community from early March was typical for this season, with Alpha- and Gammaproteobacteria as the dominant taxa, followed by Thaumarchaeota and Bacteroidetes. Towards summer, Bacteroidetes and particularly the genus Polaribacter, became increasingly dominant, followed by the Gammaproteobacteria. Analysis of genes responsible for microbial acquisition of iron showed an abundance of ABC transporters for divalent cations and ferrous iron. The most abundant transporters, however, were the outer membrane TonB dependent transporters of iron-siderophore complexes. The abundance of iron acquisition genes suggested this element was essential for the microbial assemblage. Interestingly, Gammaproteobacteria were responsible for most of the siderophore synthesis genes. On the contrary, Bacteroidetes did not synthesize siderophores but accounted for most of the transporters, suggesting a role as cheaters in the competition for siderophores as public goods. Likely, this cheating ability of the Bacteroidetes contributed to their dominance in summer.

ecology↗

Prevalence of heterotrophic methylmercury detoxifying bacteria across oceanic regions

Microbial reduction of inorganic divalent mercury (Hg2+) and methylmercury (MeHg) demethylation is performed by the mer operon, specifically by merA and merB genes respectively, but little is known about the mercury tolerance capacity of marine microorganisms and its prevalence in the global ocean. Here, we explored the distribution of these genes in 290 marine heterotrophic bacteria (Alteromonas and Marinobacter spp.) isolated from different oceanographic regions and depths, and assessed their tolerance to diverse concentrations of Hg2+ and MeHg. About 25% of the isolates presented merA and only 8.9% presented both merAB genes, including the strain ISS312 that exhibited the highest tolerance capacity and a degradation efficiency of 98.2% in 24 h. Fragment recruitment analyses of ISS312 genome against microbial metagenomes indicated an extensive distribution across the global bathypelagic ocean. Our findings highlighted that mercury resistance genes are widely distributed in a non-highly polluted environment such as the pelagic marine environment, and that degradation of the neurotoxic MeHg can be performed through the ocean water column by some heterotrophic bacteria at high efficiency with important implications in the biogeochemical cycle of mercury and potentially for the environment and human health. TeaserActive mercury resistance genes detected in marine cultured bacteria are widely distributed in the ocean including the bathypelagic zone.

microbiology↗

The quality of dissolved organic matter shapes the biogeography of the active bathypelagic microbiome

The bathypelagic ocean (1000-4000 m depth) is the largest aquatic biome on Earth but it is still largely unexplored. Due to its prevalent low dissolved organic carbon concentrations, most of the prokaryotic metabolic activity is assumed to be associated to particles. The role of free-living prokaryotes has thus been mostly ignored, except that of some chemolithoautotrophic lineages. Here we used a global bathypelagic survey of size-fractionated metagenomic and 16S (genes and transcripts) data and performed a differential abundance analysis to explore the functional traits of the different prokaryotic life-strategies, their contribution to the active microbiome, and the role that the quality of the dissolved organic matter (DOM) plays in driving this contribution. We found that free-living prokaryotes have limited capacity to uplift their metabolism in response to environmental changes and display comparatively lower growth rates than particle associated prokaryotes, but are responsible for the synthesis of vitamins in the bathypelagic. Furthermore, their contribution to the active prokaryotic microbiome increased towards waters depleted of labile DOM, which represented a large fraction of the tropical and subtropical ocean sampled stations. This points to a relevant yet overlooked role of free-living prokaryotes in DOM cycling in the vast bathypelagic desert.

ecology↗

Uncharted biosynthetic potential of the ocean microbiome

Microbes are phylogenetically and metabolically diverse. Yet capturing this diversity, assigning functions to host organisms and exploring the biosynthetic potential in natural environments remains challenging. We reconstructed >25,000 draft genomes, including from >2,500 uncharacterized species, from globally-distributed ocean microbial communities, and combined them with [~]10,000 genomes from cultivated and single cells. Mining this resource revealed [~]40,000 putative biosynthetic gene clusters (BGCs), many from unknown phylogenetic groups. Among these, we discovered Candidatus Eudoremicrobiaceae as one of the most biosynthetically diverse microbes detected to date. Discrete transcriptional states structuring natural populations were associated with a potentially niche-partitioning role for BGC products. Together with the characterization of the first Eudoremicrobiaceae natural product, this study demonstrates how microbiomics enables prospecting for candidate bioactive compounds in underexplored microbes and environments.

microbiology↗

Sex dimorphism in European sea bass (Dicentrarchus labrax L.): new insights into sex-related growth patterns during very early life stages

The European sea bass (Dicentrarchus labrax) exhibits female-biased sexual size dimorphism (SDD) early in development. New tagging techniques provide the opportunity to monitor individual sex-related growth during the post-larval and juvenile stages. We produced an experimental population through artificial fertilization and followed a rearing-temperature protocol ([~]16 {degrees}C from hatching to 112 days post-hatching, dph; [~]20 {degrees}C from 117 to 358 dph) targeting a roughly balanced sex ratio. The fish were tagged with microchips between 61 and 96 dph in five tagging trials of 50 fish each; individual standard length (SL) was recorded through repeated biometric measurements performed between 83 to 110 dph via image analyses. Body weight (BW) was modelled using the traits measured on the digital pictures (i.e. SL, area, height, perimeter and volume). At 117 dph, the fish were tagged with microtags and regularly measured for SL and BW until 335 dph. The experiment ended at 358 dph with the sexing of the fish. The sex-ratio at the end of the experiment was significantly in favor of the females (65.9% vs. 34.1%). The females were significantly longer and heavier than the males from 103 dph ([~]30 mm SL, [~]0.44 g BW) to 165 dph. A significant difference in the daily growth coefficient (DGC) was observed only between 96 and 103 dph, suggesting a physiological or biological change occurring during this period. The female-biased SSD pattern in European sea bass is thus strongly influenced by very early growth differences between sexes, in any case long before gonadal sex differentiation has been started. This leads to the hypothesis that early growth may be a cause rather than a consequence of sex determination in sea bass.

evolutionary biology↗

Light into the darkness: Unifying the known and unknown coding sequence space in microbiome analyses

Genes of unknown function are among the biggest challenges in molecular biology, especially in microbial systems, where 40%-60% of the predicted genes are unknown. Despite previous attempts, systematic approaches to include the unknown fraction into analytical workflows are still lacking. Here, we propose a conceptual framework and a computational workflow that bridge the known-unknown gap in genomes and metagenomes. We showcase our approach by exploring 415,971,742 genes predicted from 1,749 metagenomes and 28,941 bacterial and archaeal genomes. We quantify the extent of the unknown fraction, its diversity, and its relevance across multiple biomes. Furthermore, we provide a collection of 283,874 lineage-specific genes of unknown function for Cand. Patescibacteria, being a significant resource to expand our understanding of their unusual biology. Finally, by identifying a target gene of unknown function for antibiotic resistance, we demonstrate how we can enable the generation of hypotheses that can be used to augment experimental data.

microbiology↗