Prokaryotic Genomes Research Articles

Characteristics of a ceftadine/avibatam resistance KPC-33-producing Klebsiella Pneumoniae strain with capsular serotype K19 belonging to ST15

The aim of this study was to characterize the blaKPC-33 in a ST15-K19 ceftazidime-avibactam (CAZ-AVI)-resistant Klebsiella pneumoniae strain after the antibiotic CAZ-AVI was approved for use in Wuxi No. 2 People's Hospital, China. Antimicrobial susceptibility testing was performed by the microdilution broth method. Whole genome sequencing (WGS) was performed using PacBio II and MiSeq sequencers. High-quality reads were assembled using the SOAPdenovo and GapCloser v1.12, and genome annotation was performed using the NCBI Prokaryotic Genome Annotation Pipeline (PGAP). Genomic characteristics were analysed by using bioinformatics methods. K. pneumoniae strain KPHRJ showed resistance to CAZ-AVI. WGS analysis showed that strain KPHRJ had one 5 536 506 bp chromosome (57.25% G+C content) and one plasmid (133 451 bp, G+C 54.29%). KPHRJ was classified as ST15 and K19 serotype. Resistome analysis showed that KPHRJ carries seven antimicrobial resistance genes (ARGs). WGS analysis and conjugation experiments demonstrated that the blaKPC-33 gene was carried by plasmid pKPHRJ, flanked by two copies of IS26 mobile elements (IS26-ISKpn27-blaKPC-33-ISKpn6-korC-TnAs1-tetR-tetA-Tn3-IS26). Besides these acquired resistance genes, mutations in porin protein-coding genes, such as OmpK36 and OmpK37, which may reduce susceptibility to the CAZ-AVI, were also identified from the genome. Here, we present the WGS of a CAZ-AVI resistant K. pneumoniae isolate, strain KPHRJ, with capsular serotype K19 and belonging to ST15. CAZ-AVI resistance is likely conferred by a KPC-2 variant, blaKPC-33 and mutations in porin-coding genes. We speculate that the approval of the CAZ-AVI in hospital could contribute to the emergence of these genomic features by providing a selective pressure leading to the emergence of CAZ-AVI resistant bacteria.

ACR: metagenome-assembled prokaryotic and eukaryotic genome refinement tool.

Microbial genome recovery from metagenomes can further explain microbial ecosystem structures, functions and dynamics. Thus, this study developed the Additional Clustering Refiner (ACR) to enhance high-purity prokaryotic and eukaryotic metagenome-assembled genome (MAGs) recovery. ACR refines low-quality MAGs by subjecting them to iterative k-means clustering predicated on contig abundance and increasing bin purity through validated universal marker genes. Synthetic and real-world metagenomic datasets, including short- and long-read sequences, evaluated ACR's effectiveness. The results demonstrated improved MAG purity and a significant increase in high- and medium-quality MAG recovery rates. In addition, ACR seamlessly integrates with various binning algorithms, augmenting their strengths without modifying core features. Furthermore, its multiple sequencing technology compatibilities expand its applicability. By efficiently recovering high-quality prokaryotic and eukaryotic genomes, ACR is a promising tool for deepening our understanding of microbial communities through genome-centric metagenomics.

Fast and robust metagenomic sequence comparison through sparse chaining with skani

Sequence comparison tools for metagenome-assembled genomes (MAGs) struggle with high-volume or low-quality data. We present skani (https://github.com/bluenote-1577/skani), a method for determining average nucleotide identity (ANI) via sparse approximate alignments. skani outperforms FastANI in accuracy and speed (>20× faster) for fragmented, incomplete MAGs. skani can query genomes against >65,000 prokaryotic genomes in seconds and 6 GB memory. skani unlocks higher-resolution insights for extensive, noisy metagenomic datasets.

GenTreat – computational pipeline for hybrid assembly of prokaryotic genomes

The development of omics sciences has been greatly influenced by sequencing technologies. However, the large volume of data generated by these technologies necessitates the development of new computational tools for processing and analysis, particularly in genome assembly. Two main approaches are commonly used for assembly: reference-based assembly, which maps sequencing reads against a reference genome, and de novo assembly, which performs assembly without a reference. De novo assembly techniques include Overlap Layoutconsensus, De Bruijn graph, and greedy algorithms. Although numerous tools have been developed over the years, challenges persist, including fragmented assembly results and redundant contigs. As a result, new methods have emerged, such as hybrid assembly strategies that combine results from different assemblers. However, existing tools utilizing this strategy often involve extensive and complex command lines. GenTreat is a computational pipeline with an intuitive graphical interface, was developed for automated hybrid assembly of prokaryotic genomes, performs assembly using two assemblers, merges the results, and then orders and annotates the assembled genome. Validation using raw reads from 61 organisms demonstrated that is a viable alternative for automated hybrid assembly, eliminating the need for using extensive command lines. The tool is available at: https://sourceforge.net/projects/gentreat/.

Focused Overview of Mycobacterium tuberculosis VapBC Toxin-Antitoxin Systems Regarding Their Structural and Functional Aspects: Including Insights on Biomimetic Peptides.

Tuberculosis, caused by Mycobacterium tuberculosis, is a lethal infectious disease of significant public health concern. The rise of multidrug-resistant and drug-tolerant strains has necessitated novel approaches to combat the disease. Toxin-antitoxin (TA) systems, key players in bacterial adaptive responses, are prevalent in prokaryotic genomes and have been linked to tuberculosis. The genome of M. tuberculosis strains harbors an unusually high number of TA systems, prompting questions about their biological roles. The VapBC family, a representative type II TA system, is characterized by the VapC toxin, featuring a PilT N-terminal domain with nuclease activity. Its counterpart, VapB, functions as an antitoxin, inhibiting VapC's activity. Additionally, we explore peptide mimics designed to replicate protein helical structures in this review. Investigating these synthetic peptides offers fresh insights into molecular interactions, potentially leading to therapeutic applications. These synthetic peptides show promise as versatile tools for modulating cellular processes and protein-protein interactions. We examine the rational design strategies employed to mimic helical motifs, their biophysical properties, and potential applications in drug development and bioengineering. This review aims to provide an in-depth understanding of TA systems by introducing known complex structures, with a focus on both structural aspects and functional and molecular details associated with each system.

Type II bacterial toxin-antitoxins: hypotheses, facts, and the newfound plethora of the PezAT system.

Toxin-antitoxin (TA) systems are entities found in the prokaryotic genomes, with eight reported types. Type II, the best characterized, is comprised of two genes organized as an operon. Whereas toxins impair growth, the cognate antitoxin neutralizes its activity. TAs appeared to be involved in plasmid maintenance, persistence, virulence, and defence against bacteriophages. Most Type II toxins target the bacterial translational machinery. They seem to be antecessors of Higher Eukaryotes and Prokaryotes Nucleotide-binding (HEPN) RNases, minimal nucleotidyltransferase domains, or CRISPR-Cas systems. A total of four TAs encoded by Streptococcus pneumoniae, RelBE, YefMYoeB, Phd-Doc, and HicAB, belong to HEPN-RNases. The fifth is represented by PezAT/Epsilon-Zeta. PezT/Zeta toxins phosphorylate the peptidoglycan precursors, thereby blocking cell wall synthesis. We explore the body of knowledge (facts) and hypotheses procured for Type II TAs and analyse the data accumulated on the PezAT family. Bioinformatics analyses showed that homologues of PezT/Zeta toxin are abundantly distributed among 14 bacterial phyla mostly in Proteobacteria (48%), Firmicutes (27%), and Actinobacteria (18%), showing the widespread distribution of this TA. The pezAT locus was found to be mainly chromosomally encoded whereas its homologue, the tripartite omega-epsilon-zeta locus, was found mostly on plasmids. We found several orphan pezT/zeta toxins, unaccompanied by a cognate antitoxin.

HMDB: A curated database of genes involved in hydrocarbon monooxygenation reaction with homologous genes as background

The investigation of hydrocarbon degradation potential of environmental microorganisms is an important research topic, whether for the global carbon cycle or oil pollution remediation. Under aerobic conditions, the microorganisms employ a range of monooxygenases to use hydrocarbons substrates as a source of carbon and energy. With the explosion of sequencing data, mining genes in genomes or metagenomes has become computationally expensive and time-consuming. We proposed the HMDB, which is a professional gene database of hydrocarbon monooxygenases. HMDB contains 38 genes, which encode 11 monooxygenases responsible for the hydroxylation of 8 hydrocarbons. To reduce false positives, the strategy of using homologous genes as background noise was applied for HMDB. We added 10,095 gene sequences of homologous enzymes which took non-hydrocarbons as substrates to HMDB. The classic BLAST method and best-hit strategy were recommended for HMDB usage, but not limited. The performance of HMDB was validated using 264,402 prokaryote genomes from RefSeq and 51 metagenomes from SRA. The results showed that HMDB database had high sensitivity and low false positive rate. We release the HMDB database here, hoping to speed up the process for investigation of hydrocarbon monooxygenases in massive metagenomic data. HMDB is freely available at http://www.orgene.net/HMDB/.

Genomic characterization of the antiviral arsenal of Actinobacteria.

Phages are ubiquitous in nature, and bacteria with very different genomics, metabolisms, and lifestyles are subjected to their predation. Yet, the defence systems that allow bacteria to resist their phages have rarely been explored experimentally outside a very limited number of model organisms. Actinobacteria (Actinomycetota) are a phylum of GC-rich Gram-positive bacteria, which often produce an important diversity of secondary metabolites. Despite being ubiquitous in a wide range of environments, from soil to fresh and sea water but also the gut microbiome, relatively little is known about the anti-phage arsenal of Actinobacteria. In this work, we used DefenseFinder to systematically detect 131 anti-phage defence systems in 22803 fully sequenced prokaryotic genomes, among which are 2253 Actinobacteria of more than 700 species. We show that, like other bacteria, Actinobacteria encode many diverse anti-phage systems that are often encoded on mobile genetic elements. We further demonstrate that most detected defence systems are absent or rarer in Actinobacteria than in other bacteria, while a few rare systems are enriched (notably gp29-gp30 and Wadjet). We characterize the spatial distribution of anti-phage systems on Streptomyces chromosomes and show that some defence systems (e.g. RM systems) tend to be encoded in the core region, while others (e.g. Lamassu and Wadjet) are enriched towards the extremities. Overall, our results suggest that Actinobacteria might be a source of novel anti-phage systems and provide clues to characterize mechanistic aspects of known anti-phage systems.

HMSS2: An advanced tool for the analysis of sulphur metabolism, including organosulphur compound transformation, in genome and metagenome assemblies.

The global sulphur cycle has implications for human health, climate change, biogeochemistry and bioremediation. The organosulphur compounds that participate in this cycle not only represent a vast reservoir of sulphur but are also used by prokaryotes as sources of energy and/or carbon. Closely linked to the inorganic sulphur cycle, it involves the interaction of prokaryotes, eukaryotes and chemical processes. However, ecological and evolutionary studies of the conversion of organic sulphur compounds are hampered by the poor conservation of the relevant pathways and their variation even within strains of the same species. In addition, several proteins involved in the conversion of sulphonated compounds are related to proteins involved in sulphur dissimilation or turnover of other compounds. Therefore, the enzymes involved in the metabolism of organic sulphur compounds are usually not correctly annotated in public databases. To address this challenge, we have developed HMSS2, a profiled Hidden Markov Model-based tool for rapid annotation and synteny analysis of organic and inorganic sulphur cycle proteins in prokaryotic genomes. Compared to its previous version (HMS-S-S), HMSS2 includes several new features. HMM-based annotation is now supported by nonhomology criteria and covers the metabolic pathways of important organosulphur compounds, including dimethylsulphoniopropionate, taurine, isethionate, and sulphoquinovose. In addition, the calculation speed has been increased by a factor of four and the available output formats have been extended to include iTol compatible data sets, and customized sequence FASTA files.

Insertion sequence transposition inactivates CRISPR-Cas immunity

CRISPR-Cas immunity systems safeguard prokaryotic genomes by inhibiting the invasion of mobile genetic elements. Here, we screened prokaryotic genomic sequences and identified multiple natural transpositions of insertion sequences (ISs) into cas genes, thus inactivating CRISPR-Cas defenses. We then generated an IS-trapping system, using Escherichia coli strains with various ISs and an inducible cas nuclease, to monitor IS insertions into cas genes following the induction of double-strand DNA breakage as a physiological host stress. We identified multiple events mediated by different ISs, especially IS1 and IS10, displaying substantial relaxed target specificity. IS transposition into cas was maintained in the presence of DNA repair machinery, and transposition into other host defense systems was also detected. Our findings highlight the potential of ISs to counter CRISPR activity, thus increasing bacterial susceptibility to foreign DNA invasion.

Evolutionary mining and functional characterization of TnpB nucleases identify efficient miniature genome editors.

As the evolutionary ancestor of Cas12 nuclease, the transposon (IS200/IS605)-encoded TnpB proteins act as compact RNA-guided DNA endonucleases. To explore their evolutionary diversity and potential as genome editors, we screened TnpBs from 64 annotated IS605 members and identified 25 active in Escherichia coli, of which three are active in human cells. Further characterization of these 25 TnpBs enables prediction of the transposon-associated motif (TAM) and the right-end element RNA (reRNA) directly from genomic sequences. We established a framework for annotating TnpB systems in prokaryotic genomes and applied it to identify 14 additional candidates. Among these, ISAam1 (369 amino acids (aa)) and ISYmu1 (382 aa) TnpBs demonstrated robust editing activity across dozens of genomic loci in human cells. Both RNA-guided genome editors demonstrated similar editing efficiency as SaCas9 (1,053 aa) while being substantially smaller. The enormous diversity of TnpBs holds potential for the discovery of additional valuable genome editors.

Complete genome sequence data of multidrug-resistant Aeromonas hydrophila Ah27 isolated from intussusception channel catfish (Ictalurus punctatus)

Aeromonas hydrophila Ah27, a multidrug-resistant bacterium, was separated from the liver of an intussusception channel catfish (Ictalurus punctatus) in Guizhou province, China. The genome of A. hydrophila Ah27 was sequenced using the PacBio RS and Illumina sequencing platforms. The complete genome of A. hydrophila Ah27 consists of a circular chromosome with 5,102,912 bp and a plasmid with 6162 bp. The chromosome's average GC content is 60.75 %. NCBI Prokaryotic Genome Annotation Pipeline (v1.02) was used to annotate the genome with the default parameters. The results showed that the chromosome contained 4726 coding genes, including 4505 protein coding sequences, 119 tRNA genes, 31 rRNA genes, 7 ncRNAs and 64 Pseudo Genes. According to the annotation analysis, strain Ah27 encodes β-lactams, aminoglycosides, quinolones, macrolides, sulfonamides, tetracyclines resistance genes, and four significant types of efflux pump genes. The Kirby-Bauer disk method was used to detect the sensitivity or resistance of Ah27. The results showed that strain Ah27 was resistant to 27 antibiotics, including spectinomycin, streptomycin, enrofloxacin, tetracycline, bacitracin, clarithromycin, erythromycin, trimethoprim, etc. At the same time, 30 mobile genetic elements were also obtained by comparison with the MobileElementFinder tool. The complete genome sequence of A. hydrophila Ah27 may also provide a fresh perspective on disease prevention and antimicrobial resistance mechanisms.

Global analysis of the biosynthetic chemical space of marine prokaryotes

BackgroundMarine prokaryotes are a rich source of novel bioactive secondary metabolites for drug discovery. Recent genome mining studies have revealed their great potential to bio-synthesize novel secondary metabolites. However, the exact biosynthetic chemical space encoded by the marine prokaryotes has yet to be systematically evaluated.ResultsWe first investigated the secondary metabolic potential of marine prokaryotes by analyzing the diversity and novelty of the biosynthetic gene clusters (BGCs) in 7541 prokaryotic genomes from cultivated and single cells, along with 26,363 newly assembled medium-to-high-quality genomes from marine environmental samples. To quantitatively evaluate the unexplored biosynthetic chemical space of marine prokaryotes, the clustering thresholds for constructing the biosynthetic gene cluster and molecular networks were optimized to reach a similar level of the chemical similarity between the gene cluster family (GCF)-encoded metabolites and molecular family (MF) scaffolds using the MIBiG database. The global genome mining analysis demonstrated that the predicted 70,011 BGCs were organized into 24,536 mostly new (99.5%) GCFs, while the reported marine prokaryotic natural products were only classified into 778 MFs at the optimized clustering thresholds. The number of MF scaffolds is only 3.2% of the number of GCF-encoded scaffolds, suggesting that at least 96.8% of the secondary metabolic potential in marine prokaryotes is untapped. The unexplored biosynthetic chemical space of marine prokaryotes was illustrated by the 88 potential novel antimicrobial peptides encoded by ribosomally synthesized and post-translationally modified peptide BGCs. Furthermore, a sea-water-derived Aquimarina strain was selected to illustrate the diverse biosynthetic chemical space through untargeted metabolomics and genomics approaches, which identified the potential biosynthetic pathways of a group of novel polyketides and two known compounds (didemnilactone B and macrolactin A 15-ketone).ConclusionsThe present bioinformatics and cheminformatics analyses highlight the promising potential to explore the biosynthetic chemical diversity of marine prokaryotes and provide valuable knowledge for the targeted discovery and biosynthesis of novel marine prokaryotic natural products.8qkWfGqcrPbn_o7-XLBWPjVideo

On the nature of picobirnaviruses.

The picobirnaviruses (Picobirnaviridae, Picobirnavirus, PBVs) are currently thought to be animal viruses, as they are usually found in animal stool samples. However, no animal model or cell culture for their propagation has yet been found. In 2018, a hypothetical assumption about PBVs belonging to prokaryotic viruses was put forward and experimentally substantiated. This hypothesis is based on the presence of Shine-Dalgarno sequences in the genome of all PBVs before three reading frames (ORF) at the ribosomal binding site, with which the prokaryotic genome is saturated, while in the eukaryotic genome such regions occur with low frequency. The genome saturation with the Shine-Dalgarno sequences, as well as the preservation of this saturation in the progeny, according to scientists, allows us to attribute PBVs to prokaryotic viruses. On the other hand, there is a possibility that PBVs belong to viruses of eukaryotic hosts - fungi or invertebrates, since PBV-like sequences similar to the genome of fungal viruses from the families of mitoviruses and partitiviruses have been identified. In this regard, the idea arose that, in terms of reproduction mode, PBVs resemble fungal viruses. The divergence of views on the true PBV host(s) has sparked discussions among scientists and required further research to elucidate their nature. The review highlights the results of the search for a PBV host. The reasons for the occurrence of atypical sequences among the PBV genome sequences that use an alternative mitochondrial code of lower eukaryotes (fungi and invertebrates) for the translation of viral RNA-dependent RNA polymerase (RdRp) instead of the standard genetic code are analyzed. The purpose of the review was to collect arguments in support of the hypothesis about the phage nature of PBVs and to find the most realistic explanation of the reasons for identifying non-standard genomic sequences for PBVs. Based on the hypothesis about the genealogical relationship of PBVs with RNA viruses from other families with similar segmented genomes, such as Reoviridae, Cystoviridae, Totiviridae and Partitiviridae, virologists support the assumption of a decisive role in the origin of atypical PBV-like reassortment strains between PBVs and viruses of the listed families. The collected arguments given in this review indicate a high probability of a phage nature of PBVs. The data presented in the review show that the belonging of PBV-like progeny to prokaryotic or eukaryotic viruses is determined not only by its genome saturation level with a prokaryotic motif, standard or mitochondrial genetic code. The primary structure of the gene encoding the viral capsid protein responsible for the presence or absence of specific proteolytic properties of the virus that determine its ability for independent horizontal transmission into new cells may also be a decisive factor.

Empirical evidence that complexity limits horizontal gene transfer.

Horizontal gene transfer (HGT) is a major contributor to bacterial genome evolution, generating phenotypic diversity, driving the expansion of protein families, and facilitating the evolution of new phenotypes, new metabolic pathways, and new species. Comparative studies of gene gain in bacteria suggest that the frequency with which individual genes successfully undergo HGT varies considerably and may be associated with the number of protein-protein interactions in which the gene participates, i.e., its connectivity. Two non-exclusive hypotheses have emerged to explain why transferability should decrease with connectivity: the Complexity Hypothesis (Jain, Rivera, & Lake, 1999) and the Balance Hypothesis (Papp, Pál, & Hurst, 2003). These hypotheses predict that the functional costs of HGT arise from a failure of divergent homologues to make normal protein-protein interactions or from gene mis-expression, respectively. Here we describe genome-wide assessments of these hypotheses in which we used 74 existing prokaryotic whole genome shotgun libraries to estimate rates of horizontal transfer of genes from taxonomically diverse prokaryotic donors into E. coli. We show that 1) transferability declines as connectivity increases, 2) transferability declines as the divergence between donor and recipient orthologs increases, and that 3) the magnitude of this negative effect of divergence on transferability increases with connectivity. These effects are particularly robust among the translational proteins, which span the widest range of connectivities. Whereas the Complexity Hypotheses explains all three of these observations, the Balance Hypothesis explains only the first one.

The Landscape of the DNA Transposons in the Genome of the Horezu_LaPeri Strain of Drosophila melanogaster

Natural transposons (NTs) represent mobile DNA sequences found in both prokaryotic and eukaryotic genomes. Drosophila melanogaster (the fruit fly) is a eukaryotic model organism with NTs standing for about 20% of its genome and has contributed significantly to the understanding of various aspects of transposon biology. Our study describes an accurate approach designed to map class II transposons (DNA transposons) in the genome of the Horezu_LaPeri fruit fly strain, consecutive to Oxford Nanopore Technology sequencing. A whole genome bioinformatics analysis was conducted using Genome ARTIST_v2, LoRTE and RepeatMasker tools to identify DNA transposons insertions. Then, a gene ontology enrichment analysis was performed in order to evaluate the potential adaptive role of some DNA transposons insertions. Herein, we describe DNA transposon insertions specific for the Horezu_LaPeri genome and a predictive functional analysis of some insertional alleles. The PCR validation of P-element insertions specific for this fruit fly strain, along with a putative consensus sequence for the KP element, is also reported. Overall, the genome of the Horezu_LaPeri strain contains several insertions of DNA transposons associated with genes known to be involved in adaptive processes. For some of these genes, insertional alleles obtained via mobilization of the artificial transposons were previously reported. This is a very alluring aspect, as it suggests that insertional mutagenesis experiments conducting adaptive predictions for laboratory strains may be confirmed by mirroring insertions which are expected to be found at least in some natural fruit fly strains.

Mining the genome of Bacillus velezensis FS26 for probiotic markers and secondary metabolites with antimicrobial properties against aquaculture pathogens

Bacillus velezensis FS26 is a bacterium from the genus Bacillus that has been proven as a potential probiotic in aquaculture with a good antagonistic effect on Aeromonas spp. and Vibrio spp. Whole-genome sequencing (WGS) allows a comprehensive and in-depth analysis at the molecular level, and it is becoming an increasingly significant technique in aquaculture research. Although numerous probiotic genomes have been sequenced and investigated recently, there are minimal data on in silico analysis of B. velezensis as a probiotic bacterium isolated from aquaculture sources. Thus, this study aims to analyse the general genome characteristics and probiotic markers from the B. velezensis FS26 genome with secondary metabolites predicted against aquaculture pathogens. The B. velezensis FS26 genome (GenBank Accession: JAOPEO000000000) assembly proved to be of high quality, with eight contigs containing 3,926,371 bp and an average G + C content of 46.5%. According to antiSMASH analysis, five clusters of secondary metabolites from the B. velezensis FS26 genome showed 100% similarity. These clusters include Cluster 2 (bacilysin), Cluster 6 (bacillibactin), Cluster 7 (fengycin), Cluster 8 (bacillaene), and Cluster 9 (macrolactin H), which signify promising antibacterial, antifungal, and anticyanobacterial agents against pathogens in aquaculture. The probiotic markers of B. velezensis FS26 genome for adhesion capability in the hosts' intestine, as well as the acid and bile salt-tolerant genes, were also detected through the Prokaryotic Genome Annotation System (Prokka) annotation pipeline. These results are in agreement with our previous in vitro data, suggesting that the in silico investigation facilitates establishing B. velezensis FS26 as a beneficial probiotic for use in aquaculture.

Introns: the "dark matter" of the eukaryotic genome.

The emergence of introns was a significant evolutionary leap that is a major distinguishing feature between prokaryotic and eukaryotic genomes. While historically introns were regarded merely as the sequences that are removed to produce spliced transcripts encoding functional products, increasingly data suggests that introns play important roles in the regulation of gene expression. Here, we use an intron-centric lens to review the role of introns in eukaryotic gene expression. First, we focus on intron architecture and how it may influence mechanisms of splicing. Second, we focus on the implications of spliceosomal snRNAs and their variants on intron splicing. Finally, we discuss how the presence of introns and the need to splice them influences transcription regulation. Despite the abundance of introns in the eukaryotic genome and their emerging role regulating gene expression, a lot remains unexplored. Therefore, here we refer to introns as the "dark matter" of the eukaryotic genome and discuss some of the outstanding questions in the field.

The effect of the genomic GC content bias of prokaryotic organisms on the secondary structures of their proteins.

One of the main characteristics of prokaryotic genomes is the ratio in which guanine-cytosine bases are used in their DNA sequences. This is known as the genomic GC content and varies widely, from values below 20% to values greater than 74%. It has been demonstrated that the genomic GC content varies in accordance with the phylogenetic distribution of organisms and influences the amino acid composition of their corresponding proteomes. This bias is particularly important for amino acids that are coded by GC content-rich codons such as alanine, glycine, and proline, as well as amino acids that are coded by AT-rich codons, such as lysine, asparagine, and isoleucine. In our study, we extend these results by considering the effect of the genomic GC content on the secondary structure of proteins. On a set of 192 representative prokaryotic genomes and proteome sequences, we identified through a bioinformatic study that the composition of the secondary structures of the proteomes varies in relation to the genomic GC content; random coils increase as the genomic GC content increases, while alpha-helices and beta-sheets present an inverse relationship. In addition, we found that the tendency of an amino acid to form part of a secondary structure of proteins is not ubiquitous, as previously expected, but varies according to the genomic GC content. Finally, we discovered that for some specific groups of orthologous proteins, the GC content of genes biases the composition of secondary structures of the proteins for which they code.

Gymnodinialimonas phycosphaerae sp. nov., a phycosphere bacterium isolated from Karlodinium veneficum.

A facultative anaerobic, Gram-negative, non-motile, rod-shaped bacterial strain, designated N5T, was obtained from the phycosphere microbiota of the marine planktonic dinoflagellate, Karlodinium veneficum. Strain N5T showed growth on marine agar at 25 °C, pH 7 and 1 % (w/v) NaCl and produced a yellow colour. According to a phylogenetic study based on 16S rRNA gene sequences, strain N5T has a lineage within the genus Gymnodinialimonas. The G+C content in the genome of strain N5T is 62.9 mol% with a total length of 4 324 088 bp. The NCBI Prokaryotic Genome Annotation Pipeline revealed that the N5T genome contained 4230 protein-coding genes and 48 RNA genes, including a 5S rRNA, 16S rRNA, 23S rRNA, 42 tRNA, and three ncRNAs. Genome-based calculations (genome-to-genome distance, average nucleotide identity and DNA G+C content) clearly indicated that the isolate represents a novel species within the genus Gymnodinialimonas. The predominant fatty acids were C19 : 0 cyclo ω8c and feature 8 (comprising C18 : 1 ω6c and/or C18 : 1 ω7c). The major polar lipids were phosphatidylglycerol, phosphatidylethanolamine and phosphatidylcholine. The main respiratory quinone was Q-10. Based on its phenotypic, phylogenetic, genomic and chemotaxonomic features, strain N5T represents a novel species of the genus Gymnodinialimonas, for which the name Gymnodinialimonas phycosphaerae sp. nov. is proposed. The type strain is N5T (=KCTC 82362T=NBRC 114899T).