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Search indexed bioRxiv preprints in genomics, neuroscience, cell biology and bioinformatics. Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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bioRxiv2019

CTCF-mediated Chromatin Structures Dictate the Spatio-temporal Propagation of Replication Foci

Mammalian DNA replication is initiated at numerous replication origins, which are clustered into thousands of replication domains (RDs) across the genome. However, it remains unclear whether the replication origins within each RD are activated stochastically. To understand how replication is regulated at the sub-RD level, we directly visualized the spatio-temporal organization, morphology, and in situ epigenetic signatures of individual replication foci (RFi) across S-phase using super-resolution stochastic optical reconstruction microscopy (STORM). Importantly, we revealed a hierarchical radial pattern of RFi propagation that reverses its directionality from early to late S-phase, and is diminished upon caffeine treatment or CTCF knockdown. Together with simulation and bioinformatic analyses, our findings point to a CTCF-organized REplication Propagation (CoREP) model. The CoREP model suggests a non-random selection mechanism for replication activation mediated by CTCF at the sub-RD level, as well as the critical involvement of local chromatin environment in regulating replication in space and time.

cell biology↗

bioRxiv2019

Loss of CIC promotes mitotic dysregulation and chromosome segregation defects

CIC encodes a transcriptional repressor and MAPK signalling effector that is inactivated by loss-of-function mutations in several cancer types, consistent with a role as a tumour suppressor. Here, we used bioinformatic, genomic, and proteomic approaches to investigate CICs interaction networks. We observed both previously identified and novel candidate interactions between CIC and SWI/SNF complex members, and also observed novel interactions between CIC and cell cycle regulators and RNA processing factors. We found that CIC loss is associated with an increased frequency of mitotic defects in human cell lines and an in vivo mouse model and with dysregulated expression of mitotic regulators. We also observed aberrant splicing in CIC-deficient cell lines predominantly at 3 and 5 untranslated regions of genes, including genes involved in MAPK signalling, DNA repair, and cell cycle regulation. Our study thus characterises the complexity of CICs functional network and describes the effect of its loss on cell cycle regulation, mitotic integrity, and transcriptional splicing, thereby expanding our understanding of CICs potential roles in cancers. In addition, our work exemplifies how multi-omic, network-based analyses can be used to uncover novel insights into the interconnected functions of pleiotropic genes/proteins across cellular contexts. Simple summaryCapicua (CIC) is a gene that is frequently mutated in several cancer types, including stomach cancers and certain subtypes of brain tumours and sarcomas. CIC, the protein encoded by the CIC gene, has been shown to play a multitude of roles in both normal and cancer cell functions; however, most studies exploring these roles focus on a single aspect of CIC function and may therefore overlook complex interconnected activities in which CIC is involved. In this study, we have used multiple complementary approaches to obtain a broader view of CICs complex functional networks. We observed novel interactions (genetic or physical) between CIC and genes/proteins involved in various aspects of cellular function, including regulation of cell division and processing of RNA molecules. Altogether, our work characterises the complexity of CICs functional network and expands our understanding of its potential roles in cancer.

cancer biology↗

bioRxiv2019

Reevaluating the Fusobacterium Virulence Factor Landscape

Fusobacterium are Gram-negative, anaerobic, opportunistic pathogens involved in multiple diseases, including the oral pathogen Fusobacterium nucleatum being linked to the progression and severity of colorectal cancer. The global identification of virulence factors in Fusobacterium has been greatly hindered by a lack of properly assembled and annotated genomes. Using newly completed genomes from nine strains and seven species of Fusobacterium, we report the identification and correction of virulence factors from the Type 5 secreted autotransporter and FadA protein families, with a focus on the genetically tractable strain F. nucleatum subsp. nucleatum ATCC 23726 and the classic typed strain F. nucleatum subsp. nucleatum ATCC 25586. Within the autotransporters, we employed protein sequence similarity networks to identify subsets of virulence factors, and show a clear differentiation between the prediction of outer membrane adhesins, serine proteases, and proteins with unknown function. These data have defined protein subsets within the Type 5a effectors that are present in predicted invasive strains but are broadly lacking in passively invading strains; a key phenotype associated with Fusobacterium virulence. However, our data shows that prior bioinformatic analysis that predicted species of Fusobacterium to be non-{inverted exclamation}nvasive can indeed invade human cells, and that pure phylogenetic analysis to determine the virulence within this bacterial genus should be used cautiously and subsequently paired with experiments to validate these hypotheses. In addition, we provide data that show a complex interplay between autotransporters, MORN2 domain containing proteins, and FadA adhesins that we hypothesize synergistically contribute to host cell interactions and invasion. In summary, we report that accurate open reading frame annotations using complete Fusobacterium genomes, in combination with experimental validation of invasion, redefines the repertoire of virulence factors that could be contributing to the species specific pathology of multiple Fusobacterium induced infections and diseases. IMPORTANCEFusobacterium are emerging pathogens that contribute to the progression and severity of multiple mammalian and human infectious diseases, including colorectal cancer. Despite a validated connection with disease, a limited number of proteins have been characterized that define a direct molecular mechanism for pathogenesis in a diverse range of host tissue infections. We report a comprehensive examination of virulence associated protein families in multiple Fusobacterium species, and show that complete genomes facilitate the correction and identification of multiple, large Type 5a secreted autotransporter genes in previously misannotated or fragmented genomes. In addition, we use protein sequence similarity networks and human cell invasion experiments to show that previously predicted non-invasive strains can indeed enter human cells, and that this is likely due to the expansion of specific virulence proteins that drive F. nucleatum infections and disease.

microbiology↗

bioRxiv2019

Systematic Analysis of Metabolic Pathway Distributions of Bacterial Energy Reserves

Metabolism of energy reserves are essential for bacterial functions such as pathogenicity, metabolic adaptation, and environmental persistence, etc. Previous bioinformatics studies have linked gain or loss of energy reserves such as glycogen and polyphosphate (polyP) with host-pathogen interactions and bacterial virulence based on a comparatively small number of bacterial genomes or proteomes. Thus, understanding the distribution patterns of energy reserves metabolism across bacterial species provides a shortcut route to look into bacterial lifestyle and physiology theoretically. So far, five major energy reserves have been identified in bacteria due to their effective capacity to support bacterial persistence under nutrient deprivation conditions, which include wax ester (WE), triacylglycerol (TAG), polyhydroxyalkanoates (PHA), polyphosphate, and glycogen. Although unknown pathways directly involved in energy reserves keep being discovered with the continuous endeavour of molecular microbiologists and it is currently rather clear about the enzymes related with the metabolism of energy reserves, there is a lack of systematic study of the pathway or key enzyme distributions of the five energy reserves in bacteria from an evolutionary point of view. With the fast development of sequencing technology, abundant bacterial proteomes are available in public database now. In this study, we sourced 8214 manually reviewed bacterial reference proteomes from UniProt database and used statistical models to search homologous sequences of key enzymes related with energy reserves. The distribution patterns of the pathways for energy reserves metabolism are visualized in taxonomy-based phylogenetic trees. According to the study, it was revealed that specific pathways and enzymes are associated with certain types of bacterial groups, which provides evolutionary insights into the understanding of their origins and functions. In addition, the study also confirmed that loss of energy reserves is correlated with bacterial genome reduction. Through this analysis, a much clearer picture about energy reserves metabolism in bacteria is present, which could serve a guide for further theoretical and experimental analyses of energy reserves metabolism in bacteria.

microbiology↗

bioRxiv2019

Conditional activation of immune-related signatures and prognostic significance: a pan-cancer analysis

BackgroundIt is becoming clear that tumor immune T cell infiltration and its functional orientation have substantial effect on cancer progression, influencing both response to therapy and prognosis. In this pan-cancer study, the previously described Immunologic Constant of Rejection (ICR) signature is used to define opposing immune phenotypes (i.e., immuneactive and immune-silent) across 31 different histologies. We systematically analyze the interconnections between the genetic programming of neoplasms and their immune orientation across different histologies, and the prognostic impact of such interplay. Moreover, we investigated the predictive value of ICR classification across various public datasets of immune checkpoint inhibition therapy. MethodsRNA-seq data of samples from a total of 9,282 patient tumor samples representing 31 cancer types were obtained from The Cancer Genome Atlas (TCGA). We classified each cancer type based on the expression of the ICR gene signature. Oncogenic pathway gene set enrichment and mutational status were analyzed in relation to ICR phenotypes. To explore whether tumorintrinsic attributes associate with the prognostic value of ICR across cancers, we compared mutational load, oncogenic alterations and expression of oncogenic pathways between cancer types using an integrative bioinformatic pipeline. ResultsOur analyses identified a distinct prognostic connotation of ICR depending on cancer histology. We identified several oncogenic pathways whose enrichment inversely correlated with ICR in multiple tumor types. We found several cancer specific pathways that were differentially enriched between tumors in which ICR had a prognostic impact versus the ones in which ICR did not bear any prognostic connotation such as proliferation and TGF-beta signaling. Importantly, this conditional impact of ICR was also validated in the context of immune checkpoint inhibition treatment. ConclusionsWe identified tumor-intrinsic attributes that correlate with immune phenotypes and potentially influence their development. In addition, a relationship was observed between the enrichment of oncogenic pathways and the prognostic significance of the ICR and its predictive value for patients treated with anti-CTLA4 immune checkpoint inhibition. Such information can be used to prioritize potential candidates for therapies aimed at converting immune-silent into immuneactive tumors and to refine stratification algorithms.

cancer biology↗

bioRxiv2019

Unique and assay specific features of NOMe-, ATAC- and DNase I-seq data

Chromatin accessibility maps are important for the functional interpretation of the genome. Here, we systematically analysed assay specific differences between DNase I-Seq, ATAC-Seq and NOMe-Seq in a side by side experimental and bioinformatic setup. We observe that most prominent nucleosome depleted regions (NDRs, e.g. in promoters) are roboustly called by all three or at least two assays. However we also find a high proportion of assay specific NDRs that are often "called" by only one of the assays. We show evidence that these assay specific NDRs are indeed genuine open chromatin sites and contribute important information for accurate gene expression prediction. While technically ATAC-Seq and DNAse I-Seq provide a high NDR calling rate for relatively low sequencing costs in comparison to NOMe-Seq, NOMe-Seq singles out as it provides a multitude of information: it allows to not only detect NDRs but also endogenous DNA methylation, genome wide segmentation into heterochromatic A/B domains and local phasing of nucleosomes outside of NDRs. In summary our comparison strongly suggest to consider assay specific differences for the experimental desgin and for generalized and comparative functional interpretations.

genomics↗

bioRxiv2019

Critical Nodes of Virus-Host Interaction Revealed Through an Integrated Network Analysis

Viruses are one of the major causes of various acute and chronic infectious diseases and thus a major contributor to the global burden of disease. Several studies have shown how viruses have evolved to hijack basic cellular pathways and evade innate immune response by modulating key host factors and signalling pathways. A collective view of these multiple studies could advance our understanding of viral evasion mechanisms and provide new therapeutic perspectives for the treatment of viral diseases. Here, we performed an integrative meta-analysis to elucidate the 17 different host-virus interactomes. Network and bioinformatics analyses showed how viruses with small genomes efficiently achieve the maximal effect by targeting multifunctional and highly connected host proteins with a high occurrence of disordered regions. We also identified the core cellular process subnetworks that are targeted by all the viruses. Integration with functional RNA interference (RNAi) datasets showed that a large proportion of the targets are required for viral replication. Furthermore, we performed an interactome-informed drug re-purposing screen and identified novel activities for broad-spectrum antiviral agents against hepatitis C virus and human metapneumovirus. Altogether, these orthogonal datasets could serve as a platform for hypothesis generation and follow-up studies to broaden our understanding of the viral evasion landscape.

immunology↗

bioRxiv2019

Phospho-sRNA-seq reveals extracellular mRNA/lncRNA fragments as potential biomarkers in human plasma

Extracellular RNAs (exRNAs) in biofluids have attracted great interest as potential biomarkers. Whereas extracellular microRNAs (miRNAs) in blood plasma are extensively characterized, extracellular messenger RNAs (mRNA) and long noncoding RNAs (lncRNA) are less well-studied. We report that plasma contains fragmented mRNAs and lncRNAs that are largely missed by standard small RNA-seq protocols due to lack of 5 phosphate or presence of 3 phosphate. These fragments were revealed using a modified protocol ("phospho-sRNA-seq") incorporating RNA treatment with T4-polynucleotide kinase, which we compared with standard small RNA-seq for sequencing synthetic RNAs with varied 5 and 3 ends, as well as human plasma exRNA. Analyzing phospho-sRNA-seq data using a custom, high-stringency bioinformatic pipeline, we identified mRNA/lncRNA transcriptome fingerprints in plasma, including tissue-specific gene sets. In a longitudinal study of bone marrow transplant patients, bone marrow-and liver-enriched exRNA genes tracked with bone marrow recovery and liver injury, respectively, providing proof-of-concept validation as a biomarker approach. By enabling access to an unexplored realm of mRNA and lncRNA fragments, phospho-sRNA-seq opens up new possibilities for plasma transcriptomic biomarker development.

molecular biology↗

bioRxiv2019

Malignant liver cancers have distinct myeloid-derived suppressor cell signatures

Myeloid-derived suppressor cells (MDSCs) are immunosuppressive cells that are increased in patients with numerous malignancies including viral-derived hepatocellular carcinoma (HCC). Here, we report an elevation of MDSC in other hepatobiliary malignancies including non-viral HCC, neuroendocrine tumors (NET), colorectal carcinoma with liver metastases (CRLM), but not cholangiocarcinoma (CCA). Investigation of myeloid cell infiltration in HCC, NET and intrahepatic CCA tumors further established that the frequency of antigen-presenting cells was limited compared to benign lesions suggesting that primary and metastatic hepatobiliary cancers have distinct peripheral and tumoral myeloid signatures. Bioinformatics analysis of the Cancer Genome Atlas demonstrated that a high MDSC score in HCC patients predicted poor disease outcome. Mechanistic studies indicated that the oncometabolite D-2-hydroxyglutarate resulting from isocitrate dehydrogenase 1 mutation could be a limiting factor of MDSC accumulation in CCA patients. Given our observation that MDSCs are increased in non-CCA malignant liver cancers, they may comprise suitable targets for effective immunotherapy approaches.

pathology↗

bioRxiv2019

BioCell2XML: A novel tool for converting cell lineage data from SIMI BioCell to MaMuT (Fiji)

Computer-assisted 4D manual cell tracking has been a valuable method for understanding spatial-temporal dynamics of embryogenesis (e.g., Stach & Anselmi, 2015; Vellutini et al., 2017; Wolff et al., 2018) since the method was introduced in the late 1990s. Since two decades SIMI(R) BioCell (Schnabel et al., 1997), a software which initially was developed for analyzing data coming from the, at that time new technique of 4D microscopy, is in use. Many laboratories around the world use SIMI BioCell for the manual tracing of cells in embryonic development of various species to reconstruct cell genealogies with high precision. However, the software has several disadvantages: Limits in handling very large data sets, the virtually no maintenance over the last ten years (bound to older Windows versions), the difficulty to access the created cell lineage data for analyses outside SIMI BioCell, and the high cost of the program. Recently, bioinformatics, in close collaboration with biologists, developed new lineaging tools that are freely available through the open source image processing platform Fiji. Here we introduce a software tool that allows conversion of SIMI BioCell lineage data to a format that is compatible with the Fiji plugin MaMuT (Wolff et al., 2018). Hereby we intend to maintain the usability of SIMI BioCell created cell lineage data for the future and, for investigators who wish to do so, facilitate the transition from this software to a more convenient program.

developmental biology↗

bioRxiv2019

Discovery of several thousand highly diverse circular DNA viruses

Although it is suspected that there are millions of distinct viral species, fewer than 9,000 are catalogued in GenBanks RefSeq database. We selectively enriched for and amplified the genomes of circular DNA viruses in over 70 animal samples, ranging from cultured soil nematodes to human tissue specimens. A bioinformatics pipeline, Cenote-Taker, was developed to automatically annotate over 2,500 circular genomes in a GenBank-compliant format. The new genomes belong to dozens of established and emerging viral families. Some appear to be the result of previously undescribed recombination events between ssDNA viruses and ssRNA viruses. In addition, hundreds of circular DNA elements that do not encode any discernable similarities to previously characterized sequences were identified. To characterize these "dark matter" sequences, we used an artificial neural network to identify candidate viral capsid proteins, several of which formed virus-like particles when expressed in culture. These data further the understanding of viral sequence diversity and allow for high throughput documentation of the virosphere.

microbiology↗

bioRxiv2019

Modulation of Insr and insulin receptor signaling by hyperinsulinemia in vitro and in vivo

Hyperinsulinemia is commonly viewed as a compensatory response to insulin resistance, yet studies have suggested that chronically elevated insulin may also drive insulin resistance. The molecular mechanisms underpinning this potentially cyclic process remain poorly defined, especially on a transcriptome-wide level. To study the direct effects of prolonged exposure to excess insulin in muscle cells, we incubated C2C12 myotubes with elevated insulin for 16 hours, followed by 6 hours of serum starvation, and established that acute AKT and ERK signaling were attenuated in this model of in vitro hyperinsulinemia. Global RNA-sequencing of cells both before and after nutrient withdrawal highlighted genes in the insulin signaling, FOXO signaling, and glucose metabolism pathways indicative of hyperinsulinemia and starvation programs. We observed that hyperinsulinemia led to a substantial reduction in insulin receptor (Insr) gene expression, and subsequently a reduced surface INSR and total INSR protein, both in vitro and in vivo. Transcriptomic meta-analysis in >450 human samples demonstrated that fasting insulin reliably and negatively correlated with insulin receptor (INSR) mRNA in skeletal muscle. Bioinformatic modeling combined with RNAi, identified SIN3A as a negative regulator of Insr mRNA (and JUND, MAX, and MXI as positive regulators of Irs2 mRNA). Together, our analysis identifies novel mechanisms which may explain the cyclic processes underlying hyperinsulinemia-induced insulin resistance in muscle, a process directly relevant to the etiology and disease progression of type 2 diabetes.

physiology↗

bioRxiv2019

The opportunistic pathogen Stenotrophomonas maltophilia utilizes a type IV secretion system for interbacterial killing

Bacterial type IV secretion systems (T4SS) are a highly diversified but evolutionarily related family of macromolecule transporters that can secrete proteins and DNA into the extracellular medium or into target cells. They have been long known to play a fundamental role in bacterial conjugation and virulence of several species. It was recently shown that a subtype of T4SS harboured by the plant pathogenic bacterium Xanthomonas citri transfers toxins into other bacteria cells resulting in cell death. In this study, we show that a similar T4SS from the multi-drug-resistant global opportunistic pathogen Stenotrophomonas maltophilia is proficient in killing competitor bacterial species. T4SS-dependent duelling between S. maltophilia and X. citri was observed by time-lapse fluorescence microscopy. A bioinformatic search of the S. maltophilia K279a genome for proteins containing a C-terminal domain (XVIPCD) conserved in X. citri T4SS effectors identified eleven putative effectors secreted by the S. maltophilia T4SS. Six of these effectors have no recognizable domain except for the XVIPCD. We selected one of these new effectors (Smlt3024) and its cognate inhibitor (Smlt3025) for further characterization and confirmed that Smlt3024 is indeed secreted in a T4SS-dependent manner by S. maltophilia when in contact with a target bacterial species. Expression of Smlt3024 in the periplasm of E. coli resulted in greatly reduced growth rate and cell size, which could be counteracted by co-expression with its cognate periplasmic inhibitor, Smlt3025. This work expands our current knowledge about the diverse function of T4SSs subtypes and increases the panel of effectors known to be involved in T4SS-mediated interbacterial competition. Further elucidation of the mechanism of these antibacterial proteins could lead to the discovery of new antibacterial targets. The study also adds information about the molecular mechanisms possibly contributing to the establishment of S. maltophilia in different biotic and abiotic surfaces in both clinical and environmental settings. Author SummaryCompetition between microorganisms for nutrients and space determines which species will emerge and dominate or be eradicated from a specific habitat. Bacteria use a series of mechanisms to kill or prevent multiplication of competitor species. Recently, it was reported that a subtype of type IV secretion system (T4SS) works as a weapon to kill competitor bacterial species. In this study, we show that an important human opportunistic pathogen, Stenotrophomonas maltophilia, harbours a T4SS that promotes killing of competitor species. We also identified a series of new toxic proteins secreted by S. maltophilia via its T4SS to poison competitor species. We showed that two different bacterial species that harbour a bacteria-killing T4SS can kill each other; most likely due to differences in effector-immunity protein pairs. This work expands our current knowledge about the bacterial arsenal used in competitions with other species and expands the repertoire of antibacterial ammunition fired by T4SSs. In addition, the work contributes with knowledge on the possible mechanisms used by S. maltophilia to establish communities in different biotic and abiotic surfaces in both clinical and environmental settings.

microbiology↗

bioRxiv2019

Glutarate metabolism in Pseudomonas putida is regulated by two distinct glutarate sensing transcription factors

Transcription factor based biosensors can be leveraged to screen thousands of genetics designs for optimal production in engineered microbes. In this study we characterize two glutarate sensing transcription factors (CsiR and GcdR) from Pseudomonas putida. The genomic contexts of CsiR homologs were analyzed and DNA binding sites were bioinformatically predicted. Both CsiR and GcdR were purified and shown to bind upstream of their coding sequencing in vitro. CsiR was shown to dissociate from DNA in vitro when exogenous glutarate was added confirming it acts as a genetic repressor. Both transcription factors were then engineered into plasmid based biosensors and their respective sensing performance features calculated. Both sensor plasmids were then reintroduced into P. putida and were evaluated for their ability to sense flux through glutarate when grown on various lysine metabolites as sole carbon sources. These findings provide information describing glutarate flux in P. putida, and potentially useful tools for future metabolic engineering and synthetic biology efforts.

microbiology↗

bioRxiv2019

Systematic identification of circular RNAs and corresponding regulatory networks unveil their potential roles in the midgut of Apis cerana cerana workers

BackgroundCircular RNAs (circRNAs) are newly discovered noncoding RNAs (ncRNAs) that play key roles in various biological functions, such as the regulation of gene expression and alternative splicing. CircRNAs have been identified in some species, including western honeybees. However, the understanding of honeybee circRNA is still very limited, and to date, no study on eastern honeybee circRNA has been conducted. Here, the circRNAs in the midguts of Apis cerana cerana workers were identified and validated, and the regulatory networks were constructed. Differentially expressed circRNAs (DEcircRNAs) and the corresponding competitively endogenous RNA (ceRNA) networks in the development of the workers midgut were further investigated. ResultsHere, 7- and 10-day-old A. c. cerana workers midguts (Ac1 and Ac2) were sequenced using RNA-seq, and a total of 9589 circRNAs were predicted using bioinformatics. These circRNAs were approximately 201-800 nt in length and could be classified into six types; the annotated exonic circRNAs were the most abundant. Additionally, five novel A. c. cerana circRNAs were confirmed by PCR amplification and Sanger sequencing, indicating the authenticity of A. c. cerana circRNAs. Interestingly, novel_circ_003723, novel_circ_002714, novel_circ_002451 and novel_circ_001980 were the most highly expressed circRNAs in both Ac1 and Ac2, which is indicative of their key roles in the development of the midgut. Moreover, 55 DEcircRNAs were identified in the Ac1 vs Ac2 comparison group, including 34 upregulated and 21 downregulated circRNAs. Further investigation showed that the source genes of circRNAs were classified into 34 GO terms and were involved in 141 KEGG pathways. In addition, the source genes of DEcircRNAs were categorized into 10 GO terms and 15 KEGG pathways, which demonstrated that the corresponding DEcircRNAs may affect the growth, development, and material and energy metabolisms of the workers midgut by regulating the expression of the related source genes. Additionally, the circRNA-miRNA regulatory networks were constructed and analyzed, and the results demonstrated that 1060 circRNAs can bind to 74 miRNAs and that 71.51% of circRNAs can be linked to only one miRNA. Furthermore, the DEcircRNA-miRNA-mRNA networks were constructed and explored, and the results indicate that the 13 downregulated circRNAs can bind to eight miRNAs and to 29 target genes. In addition, the results indicate that the 16 upregulated circRNAs can bind to 9 miRNAs and to 29 target genes, demonstrating that DEcircRNAs are likely involved in the regulation of midgut development via ceRNA mechanisms. Moreover, the regulatory networks of miR-6001-y-targeted DEcircRNAs were analyzed, and the results showed that eight DEcircRNAs may affect the development of A. c. cerana workers midguts by targeting miR-6001-y. Finally, four randomly selected DEcircRNAs were verified via RT-qPCR, confirming the reliability of our sequencing data. ConclusionThis is the first systematic investigation of circRNAs and their corresponding regulatory networks in eastern honeybees. The identified circRNAs from the A. c. cerana workers midgut will enrich the known reservoir of honeybee ncRNAs. DEcircRNAs may play a comprehensive role during the development of the workers midgut via the regulation of source genes and the interaction with miRNAs by acting as ceRNAs. The eight DEcircRNAs that targeted miR-6001-y were likely to be vital for the development of the workers midgut. Our results provide a valuable resource for the future studies of A. c. cerana circRNA and lay a foundation to reveal the molecular mechanisms underlying the regulatory networks of circRNAs responsible for the workers midgut development; in addition, these findings facilitate a functional study on the key circRNAs involved in the developmental process. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

molecular biology↗

bioRxiv2019

Rapid, multiplexed, whole genome and plasmid sequencing of foodborne pathogens using long-read nanopore technology

United States public health agencies are focusing on next-generation sequencing (NGS) to quickly identify and characterize foodborne pathogens. Here, the MinION nanopore, long-read sequencer was used to simultaneously sequence the entire chromosome and plasmids of Salmonella enterica subsp. enterica serovar Bareilly and Escherichia coli O157:H7. A rapid, random sequencing approach, coupled with de novo genome assembly within a customized data analysis workflow, that can resolve highly-repetitive genomic regions, was developed. In sequencing runs, as short as four hours, using nanopore data alone, full-length genomes were obtained with an average identity of 99.87% for Salmonella Bareilly and 99.89% for E. coli in comparison to the respective MiSeq references. These long-read assemblies provided information on serotype, virulence factors, and antimicrobial resistance genes. Using a custom-developed, SNP-selection workflow, the potential of the nanopore-only assemblies (after only 30 minutes of sequencing) for rapid phylogenetic inference, with identical topology compared to the published dataset, was demonstrated. To achieve maximum quality assemblies, the developed bioinformatics workflow employed additional polishing steps to correct the systematic errors produced by the nanopore-only assemblies. Nanopore sequencing provided a shorter (10 hours library preparation and sequencing) turnaround time compared to other NGS technologies.

microbiology↗

bioRxiv2019

Structure-guided function discovery of an NRPS-like glycine betaine reductase for choline biosynthesis in fungi

Nonribosomal peptide synthetases (NRPS) and NRPS-like enzymes have diverse functions in primary and secondary metabolism. By using a structure-guided approach, we uncovered the function of an NRPS-like enzyme with unusual domain architecture, catalyzing two sequential two-electron reductions of glycine betaine to choline. Structural analysis based on homology model suggests cation-{pi} interactions as the major substrate specificity determinant, which was verified using substrate analogs and inhibitors. Bioinformatic analysis indicates this NRPS-like glycine betaine reductase is highly conserved and widespread in fungi kingdom. Genetic knockout experiments confirmed its role in choline biosynthesis and maintaining glycine betaine homeostasis in fungi. Our findings demonstrate that the oxidative choline-glycine betaine degradation pathway can operate in a fully reversible fashion and provide new insights in understanding fungal choline metabolism. The use of an NRPS-like enzyme for reductive choline formation is energetically efficient compared to known pathways. Our discovery also underscores the capabilities of structure-guided approach in assigning function of uncharacterized multidomain proteins, which can potentially aid functional discovery of new enzymes by genome mining.

biochemistry↗

bioRxiv2019

OxyR senses reactive sulfane sulfur and activates genes for its removal in Escherichia coli

Reactive sulfane sulfur species such as hydrogen polysulfide and organic persulfide are newly recognized as normal cellular components, involved in signaling and protecting cells from oxidative stress. Their production is extensively studied, but their removal is less characterized. Herein, we showed that reactive sulfane sulfur is toxic at high levels, and it is mainly removed via reduction by thioredoxin and glutaredoxin with the release of H2S in Escherichia coli. OxyR is best known to respond to H2O2, and it also played an important role in responding to reactive sulfane sulfur under both aerobic and anaerobic conditions. It was modified by hydrogen polysulfide to OxyR C199-SSH, which activated the expression of thioredoxin 2 and glutaredoxin 1. This is a new type of OxyR modification. Bioinformatics analysis showed that OxyRs are widely present in bacteria, including strict anaerobic bacteria. Thus, the OxyR sensing of reactive sulfane sulfur may represent a conserved mechanism for bacteria to deal with sulfane sulfur stress.

microbiology↗