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bioRxiv2021

2FAST2Q: A general-purpose sequence search and counting program for FASTQ files

The increasingly widespread use of next generation sequencing protocols has brought the need for the development of user-friendly raw data processing tools. Here, we present 2FAST2Q, a versatile and intuitive standalone program capable of extracting and counting feature occurrences in FASTQ files. 2FAST2Q can be used in any experimental setup that requires feature extraction from raw reads, being able to quickly handle mismatch alignments, nucleotide wise Phred score filtering, custom read trimming, and sequence searching within a single program. Using published CRISPRi datasets in which Escherichia coli and Mycobacterium tuberculosis gene essentiality, as well as host-cell sensitivity towards SARS-CoV2 infectivity were tested, we demonstrate that 2FAST2Q efficiently recapitulates the output in read counts per provided feature as with traditional pipelines. Moreover, we show how different FASTQ read filtering parameters impact downstream analysis, and suggest a default usage protocol. 2FAST2Q has a familiar user interface and uses a custom sequence mismatch search algorithm, taking advantage of Pythons numba module JIT runtime speeds. It is thus easier to use and faster than currently available tools, efficiently processing large CRISPRi-Seq or random-barcode sequencing datasets on any up-to-date laptop. 2FAST2Q is available as an executable file for all current operating systems without installation and as a Python3 module on the PyPI repository (available at https://veeninglab.com/2fast2q). We expect that 2FAST2Q will not only be useful for people working in microbiology but also for other fields in which amplicon sequencing data is generated.

bioinformatics↗

bioRxiv2021

Characterization of antibiotic resistance in clinical isolates of Klebsiella pneumoniae in Denmark

Klebsiella pneumoniae (KP) is a major global health problem as it leads to hospital outbreaks all over the world and is becoming more difficult to treat due to its increasing antimicrobial resistance (AMR). Optimization and development of new treatments of KP requires understanding of its population structure and AMR properties. Therefore, in this study, we collected and sequenced 491 KP strains from four major Danish microbiology departments covering 51% of the Danish population. The isolates were whole genome sequenced (WGS), phenotypically characterized and compared with 2,124 KP strains from 13 different countries (PATRIC strains). We found that while genomic content varies significantly across the Danish strains, they also differ significantly from strains from other countries, due to the lack of certain AMR sequence types (e.g. ST258 and ST307) in Denmark. Genomic and experimental analysis suggest that Danish strains contain fewer virulence mechanisms and are more susceptible to antimicrobials compared to strains from other countries, likely due to the relatively low antibiotic usage in Denmark where 70% of hospital antibiotic usage is penicillins. We also identified potential novel AMR determinants to tigecycline through statistical analysis of genomic and phenotypic data. To conclude, we obtained a more comprehensive understanding of the KP strains in Denmark and provided valuable insights for future experiments and strategies to combat AMR in KP.

genomics↗

bioRxiv2022

A bacterial secretosome for regulated envelope biogenesis and quality control

As the first line of defence against antibiotics, the Gram-negative bacterial envelope and its biogenesis are of considerable interest to the microbiological and biomedical communities. All bacterial proteins are synthesised in the cytosol, so inner- and outer-membrane proteins, and periplasmic residents have to be transported to their final destinations via specialised protein machinery. The Sec translocon, a ubiquitous integral inner-membrane (IM) complex, is key to this process as the major gateway for protein transit from the cytosol to the cell envelope; this can be achieved during their translation, or afterwards. Proteins need to be directed to the inner-membrane (usually co-translational), otherwise SecA utilises ATP and the proton-motive-force (PMF) to drive proteins across the membrane post-translationally. These proteins are then picked up by chaperones for folding in the periplasm or delivered to the {beta}-barrel assembly machinery (BAM) for incorporation into the outer-membrane. The core heterotrimeric SecYEG-complex forms the hub for an extensive network of interactions that regulate protein delivery and quality control. Here, we conduct a biochemical exploration of this secretosome - a very large, versatile and inter-changeable assembly with the Sec-translocon at its core; featuring interactions that facilitate secretion (SecDF), inner- and outer-membrane protein insertion (respectively, YidC and BAM), protein folding and quality control (e.g. PpiD, YfgM and FtsH). We propose the dynamic interplay amongst these and other factors act to ensure efficient whole envelope biogenesis, regulated to accommodate the requirements of cell elongation and division. This organisation would be essential for cell wall biogenesis and remodelling and thus its perturbation would be a good strategy for the development of anti-microbials.

biochemistry↗

bioRxiv2022

Broad-host-range mutagenesis with CRISPR-associated transposase

Transposons have been instrumental tools in microbiology enabling random mutagenesis, with transposons like Tn5 and Mariner, and site-specific DNA integrations with Tn7. However, programmable targeting of transposons was impossible until CRISPR-associated transposase (CasTn) systems were described. Like other CRISPR-derived systems, CasTn can be programmed with a short DNA encoded sequence that is transcribed into a guide-RNA. Here we describe a broad-host-range CasTn system and demonstrate its function in bacteria from three classes of the Proteobacteria. The CasTn genes are expressed from a broad-host-range replicative plasmid, while the guide-RNA and transposon are provided on a high-copy pUC plasmid that is suicidal in most bacteria outside of E. coli. Using our CasTn system, single-gene disruptions were performed with on-target efficiencies approaching 100% in the Beta- and Gammaproteobacteria, Burkholderia thailandensis, and Pseudomonas putida, respectively. The results were more modest in the Alphaproteobacterium Agrobacterium fabrum, with a peak efficiency of 45%, though for routine single-gene disruptions, this efficiency is adequate. In B. thailandensis, the system allowed simultaneous co-integration of transposons at two different target sites. The CasTn system is also capable of high-efficiency large transposon insertion totaling over 11 kbp in P. putida. Given the iterative capabilities and large payload size, this system will be helpful for genome engineering experiments across several fields of research. SignificanceThe genetic modification of bacteria to disrupt native genes and integrate recombinant genes is necessary for basic and applied research. Traditional methods for targeted disruptions and insertions are often cumbersome and inefficient, limiting experiments' scale and throughput. This work developed a system for targeted transposon mutagenesis that is easy to use, iterative, and efficient. We demonstrate that the system functions across three different classes of the Proteobacteria in species widely used in research and biotechnology. Moreover, the framework of the system and accompanying plasmids that we developed will facilitate porting the system to other bacteria. Our system provides a fast and efficient protocol to genetically modify these bacteria by inserting desired genetic cargo into specific genomic targets.

synthetic biology↗

bioRxiv2022

Replacing bar graphs of continuous data with more informative graphics: Are we making progress?

Recent work has raised awareness about the need to replace bar graphs of continuous data with informative graphs showing the data distribution. The impact of these efforts is not known. This observational meta-research study examined how often scientists in different fields use various graph types, and assessed whether visualization practices have changed between 2010 and 2020. We developed and validated an automated screening tool, designed to identify bar graphs of counts or proportions, bar graphs of continuous data, bar graphs with dot plots, dot plots, box plots, violin plots, histograms, pie charts, and flow charts. Papers from 23 fields (approximately 1,000 papers/field/year) were randomly selected from PubMed Central and screened (n=227,998). F1 scores for different graphs ranged between 0.83 and 0.95 in the internal validation set. While the tool also performed well in external validation sets, F1 scores were lower for uncommon graphs. Bar graphs are more often used incorrectly to display continuous data than they are used correctly to display counts or proportions. The proportion of papers that use bar graphs of continuous data varies markedly across fields (range in 2020: 4%-58%), with high rates in biochemistry and cell biology, complementary and alternative medicine, physiology, genetics, oncology and carcinogenesis, pharmacology, microbiology and immunology. Visualization practices have improved in some fields in recent years. Fewer than 25% of papers use flow charts, which provide information about attrition and the risk of bias. This study highlights the need for continued interventions to improve visualization and identifies fields that would benefit most.

scientific communication and education↗

bioRxiv2022

Honey bee functional genomics using symbiont-mediated RNAi

Bees are indispensable pollinators and model organisms for studying social behavior, development, and cognition. However, their eusociality makes it difficult to use standard forward genetic approaches to study gene function. To fill this gap, we engineered the bee gut bacterium Snodgrassella alvi to induce a host RNA interference response that reduces expression of a targeted gene. To employ this FUGUES (FUnctional Genomics Using Engineered Symbionts) procedure, a double-stranded RNA expression plasmid is cloned in Escherichia coli using Golden Gate assembly and then transferred to S. alvi. Adult worker bees are then colonized with engineered S. alvi. Finally, gene knockdown is verified through qRT-PCR, and bee phenotypes of interest can be further assessed. Expression of targeted genes is reduced by as much as 50-75% throughout the entire bee body by five days after colonization. This protocol can be accomplished in four weeks by bee researchers with microbiology and molecular cloning skills.

genetics↗

bioRxiv2022

Systematic benchmarking of all-in-one microbial SNP calling pipelines

Clinical and public health microbiology is increasingly utilising whole genome sequencing (WGS) technology and this has lead to the development of a myriad of analysis tools and bioinformatics pipelines. Single nucleotide polymorphism (SNP) analysis is an approach used for strain characterisation and determining isolate relatedness. However, in order to ensure the development of robust methodologies suitable for clinical application of this technology, accurate, reproducible, traceable and benchmarked analysis pipelines are necessary. To date, the approach to benchmarking of these has been largely ad-hoc with new pipelines benchmarked on their own datasets with limited comparisons to previously published pipelines. In this study, Snpdragon, a fast and accurate SNP calling pipeline is introduced. Written in Nextflow, Snpdragon is capable of handling small to very large and incrementally growing datasets. Snpdragon is benchmarked using previously published datasets against six other all-in-one microbial SNP calling pipelines, Lyveset, Lyveset2, Snippy, SPANDx, BactSNP and Nesoni. The effect of dataset choice on performance measures is demonstrated to highlight some of the issues associated with the current available benchmarking approaches. The establishment of an agreed upon gold-standard benchmarking process for microbial variant analysis is becoming increasingly important to aid in its robust application, improve transparency of pipeline performance under different settings and direct future improvements and development. Snpdragon is available at https://github.com/FordeGenomics/SNPdragon. Impact statementWhole-genome sequencing has become increasingly popular in infectious disease diagnostics and surveillance. The resolution provided by single nucleotide polymorphism (SNP) analyses provides the highest level of insight into strain characteristics and relatedness. Numerous approaches to SNP analysis have been developed but with no established gold-standard benchmarking approach, choice of bioinformatics pipeline tends to come down to laboratory or researcher preference. To support the clinical application of this technology, accurate, transparent, auditable, reproducible and benchmarked pipelines are necessary. Therefore, Snpdragon has been developed in Nextflow to allow transparency, auditability and reproducibility and has been benchmarked against six other all-in-one pipelines using a number of previously published benchmarking datasets. The variability of performance measures across different datasets is shown and illustrates the need for a robust, fair and uniform approach to benchmarking. Data SummaryO_LIPreviously sequenced reads for Escherichia coli O25b:H4-ST131 strain EC958 are available in BioProject PRJNA362676. BioSample accession numbers for the three benchmarking isolates are: O_LIEC958: SAMN06245884 C_LIO_LIMS6573: SAMN06245879 C_LIO_LIMS6574: SAMN06245880 C_LI C_LIO_LIAccession numbers for reference genomes against the E. coli O25b:H4-ST131 strain EC958 benchmark are detailed in table 2. C_LIO_LISimulated benchmarking data previously described by Yoshimura et al. is available at http://platanus.bio.titech.ac.jp/bactsnp (1). C_LIO_LISimulated datasets previously described by Bush et al. is available at http://dx.doi.org/10.5287/bodleian:AmNXrjYN8 (2). C_LIO_LIReal sequencing benchmarking datasets previously described by Bush et al. are available at http://dx.doi.org/10.5287/bodleian:nrmv8k5r8 (2). C_LI O_TBL View this table: org.highwire.dtl.DTLVardef@f2446corg.highwire.dtl.DTLVardef@16a299corg.highwire.dtl.DTLVardef@d1c7a5org.highwire.dtl.DTLVardef@8a3cbaorg.highwire.dtl.DTLVardef@198f455_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2.C_FLOATNO O_TABLECAPTIONReference genomes used in the EC958 benchmarking dataset and the percent identity against the three included samples. C_TABLECAPTION C_TBL

bioinformatics↗

bioRxiv2022

A honey authenticity test by interphase emulsion reveals biosurfactant activity and biotechnology in the stingless bee nest of Scaptotrigona sp. 'Catiana' from Ecuador

Bees are valuable pollinators of fruit trees and grasses. Honey is a medicinal food of plant and animal origin, with social impact for the wellbeing of bee keepers. The Neotropical apifauna has about 500 species of stingless bees (Meliponini). Commercial beekeeping with Apis mellifera underestimates the cultural legacy of meliponiculture, and both are affected by the presence of fake honeys in the market. Three alternative techniques (interphase emulsion, sensory analysis, and pollen residue) to nuclear magnetic resonance (NMR) were investigated to detect false honeys. One technique was based on an interphase emulsion test, which can be performed by beekeepers, farmers, housekeepers, professionals and consumers of honey in general. Another technique was sensory analysis by a tasting panel, and the third consisted on a palynological preparation with a simplified observation. Five genuine honeys produced by Apis mellifera, Geotrigona leucogastra, Melipona mimetica, Scaptotrigona sp., Tetragonisca angustula and a fake honey from Ecuador were analyzed. The honey authenticity test by interphase emulsion was fast and effective to detect fake honey (two phases), and genuine honeys (one and three phases). A further screening of was done in 51 Asian, Australia, European and Latinamerican honeys. Additionally the HATIE generated a new application as a test to detect unique biosurfactants in honey (HBT) of Scaptotrigona sp. Catiana (one phase) with potential microbial origin, and its entomological origin in this set of honeys. Catiana nests smell like Roquefort cheese, indicating a fungus association with this rural stingless bee highlighted by its distribution, productivity and the peculiarities described in this research, 80 years after its description as a new genus Scaptotrigona Moure, 1942. Paradoxically, this communication without microbiological analysis, infers the fungal presence in the nest of Scaptotrigona sp. by sensory observations different from the classic sensory evaluation of honey.

biophysics↗

bioRxiv2022

An Optogenetic Toolkit for Light-Inducible Antibiotic Resistance

Antibiotics are a key control mechanism for synthetic biology and microbiology. Resistance genes are used to select desired cells and regulate bacterial populations, however their use to-date has been largely static. Precise spatiotemporal control of antibiotic resistance could enable a wide variety of applications that require dynamic control of susceptibility and survival. Here, we use light-inducible Cre recombinase to activate expression of drug resistance genes in Escherichia coli. We demonstrate light-activated resistance to four antibiotics: carbenicillin, kanamycin, chloramphenicol, and tetracycline. Cells exposed to 465 nm blue light survive in the presence of lethal antibiotic concentrations, while those kept in the dark do not. To optimize resistance induction ranges, we characterize the impact of the promoter, ribosome binding site, and enzyme variant strength using chromosome and plasmid-based constructs. Using time-lapse microscopy, we further show resistance activation dynamics. These optogenetic drug resistance tools pave the way for spatiotemporal control of cell survival.

synthetic biology↗

bioRxiv2022

MGTdb: A web service and database for studying the global and local genomic epidemiology of bacterial pathogens

Multilevel genome typing (MGT) enables the genomic characterization of bacterial isolates and the relationships among them. The MGT system describes an isolate using multiple multilocus sequence typing (MLST) schemes, referred to as levels. Thus, for a new isolate, sequence types (STs) assigned at multiple precisely defined levels can be used to type isolates at multiple resolutions. The MGT designation for isolates is stable, and assignment is faster than existing approaches. MGTs utility has been demonstrated in multiple species. This paper presents a publicly accessible web service called MGTdb, which enables the assignment of MGT sequence types to isolates, along with their storage, retrieval and analysis. The MGTdb web service enables upload of genome data as sequence reads or alleles, which are processed and assigned MGT identifiers. Additionally, any newly sequenced isolates deposited in NCBI Sequence Read Archive are also regularly retrieved (currently daily), processed, assigned MGT and made publicly available in MGTdb. Interactive visualisation tools are presented to assist analysis, along with capabilities to download publicly available isolates and assignments for use with external software. MGTdb is currently available for Salmonella enterica serovars Typhimurium and Enteritidis, and Vibrio cholerae. We demonstrate the usability of MGTdb through three case studies to study the long-term national surveillance of S. Typhimurium, and the local epidemiology and outbreaks of S. Typhimurium, and the global epidemiology of V. cholerae. Thus, MGTdb enables epidemiological and microbiological investigations at multiple levels of resolution for all publicly available isolates of these pathogens. Database URLhttps://mgtdb.unsw.edu.au

bioinformatics↗

bioRxiv2022

Laboratory strains of Escherichia coli K-12: not such perfect role models after all.

Escherichia coli K-12 was originally isolated 100 years ago and since then, it has become an invaluable model organism and a cornerstone of molecular biology research. However, despite its apparent pedigree, since its initial isolation, E. coli K-12 has been repeatedly cultured, passaged, and mutagenized, resulting in an organism that carries extensive genetic changes. To understand more about the evolution of this important model organism, we have sequenced the genomes of two ancestral K-12 strains, WG1 and EMG2, considered to be the progenitors of many key laboratory strains. Our analysis confirms that these strains still carry genetic elements such as bacteriophage lambda ({lambda}) and the F plasmid, but also indicates that they have undergone extensive lab-based evolution. Thus, scrutinizing the genomes of ancestral E. coli K-12 strains, leads us to question whether E. coli K-12 is a sufficiently robust model organism for 21st century microbiology. DATA SUMMARYAll supporting data are provided within the article or through supplementary data files. Supplementary Figs. S1 to S14 and Supplementary File S1 are available with the online version of this article. All genome sequence data has been deposited in NCBI GenBank under Bioproject ID PRJNA848777. The assembled and annotated genomes of WG1 and EMG2 have been deposited with the accession numbers, CP099590 and CP099591 (WG1) and CP099588 and CP099589 (EMG2). Impact StatementSince its isolation in 1922, Escherichia coli K-12, has become arguably the premier model organism for contemporary science. The adoption of E. coli K-12 by many microbiologists across the globe, means that it has a complex pedigree, and, although many E. coli K-12 strains have been sequenced, little is known about the early versions of K-12, which still carry the F plasmid and bacteriophage {lambda}. To understand more about the lab-based evolution that has shaped this important model organism, we have sequenced two ancestral K-12 strains, WG1 and EMG2, that are considered to be the progenitors of many of the laboratory strains used today.

genomics↗

bioRxiv2022

GTDB-Tk v2: memory friendly classification with the Genome Taxonomy Database

The Genome Taxonomy Database (GTDB) and associated taxonomic classification toolkit (GTDB-Tk) have been widely adopted by the microbiology community. However, the growing size of the GTDB bacterial reference tree has resulted in GTDB-Tk requiring substantial amounts of memory (~320 GB) which limits its adoption and ease of use. Here we present an update to GTDB-Tk that uses a divide-and-conquer approach where user genomes are initially placed into a bacterial reference tree with family-level representatives followed by placement into an appropriate class-level subtree comprising species representatives. This substantially reduces the memory requirements of GTDB-Tk while having minimal impact on classification. AvailabilityGTDB-Tk is implemented in Python and licenced under the GNU General Public Licence v3.0. Source code and documentation are available at: https://github.com/ecogenomics/gtdbtk. Contactp.chaumeil@uq.edu.au or donovan.parks@gmail.com

bioinformatics↗

bioRxiv2022

Formation of secondary allo-bile acids by novel enzymes from gut Firmicutes

The gut microbiome of vertebrates is capable of numerous biotransformations of bile acids, which are responsible for intestinal lipid digestion and function as key nutrient-signaling molecules. The human liver produces bile acids from cholesterol predominantly in the A/B-trans orientation in which the sterol rings are "kinked", as well as small quantities of A/B-cis oriented "flat" stereoisomers known as "primary allo-bile acids". While the complex multi-step bile acid 7-dehydroxylation pathway has been well-studied for conversion of "kinked" primary bile acids such as cholic acid (CA) and chenodeoxycholic acid (CDCA) to deoxycholic acid (DCA) and lithocholic acid (LCA), respectively, the enzymatic basis for the formation of "flat" stereoisomers allo-deoxycholic acid (allo-DCA) and allo-lithocholic acid (allo-LCA) by Firmicutes has remained unsolved for three decades. Here, we present a novel mechanism by which Firmicutes generate the "flat" bile acids allo-DCA and allo-LCA. The BaiA1 was shown to catalyze the final reduction from 3-oxo-allo-DCA to allo-DCA and 3-oxo-allo-LCA to allo-LCA. Phylogenetic and metagenomic analyses of human stool samples indicate that BaiP and BaiJ are encoded only in Firmicutes and differ from membrane-associated bile acid 5-reductases recently reported in Bacteroidetes that indirectly generate allo-LCA from 3-oxo-{Delta}4-LCA. We further map the distribution of baiP and baiJ among Firmicutes in human metagenomes, demonstrating an increased abundance of the two genes in colorectal cancer (CRC) patients relative to healthy individuals. SIGNIFICANCE STATEMENTBile acid synthesis by vertebrates is central to digestion and nutrient signaling. Gut bacteria have evolved enzymes capable of converting primary bile acids to hundreds of secondary bile acids. While bile acid microbiology has been focused on the metabolism of ring hydroxyl groups and the carboxylated side-chain, very little is known about how bacteria alter the shape of the steroid ring system. Here, we describe enzymes expressed by Firmicutes that convert the "kinked" primary bile acid into "flat" secondary bile acids. Decades of research indicate that increased levels of secondary bile acids are risk factors for colorectal cancer. Hidden Markov Models developed from the BaiP and BaiJ enzyme sequences revealed significant enrichment in metagenomes of subjects with colorectal cancer.

biochemistry↗

bioRxiv2022

The absence of gastrointestinal redox dyshomeostasis in the brain-first rat model of Parkinson's disease induced by bilateral intrastriatal 6-hydroxydopamine

The gut-brain axis plays an important role in Parkinsons disease (PD) by acting as a route for vagal propagation of aggregated -synuclein in the gut-first endophenotype and as a mediator of gastrointestinal dyshomeostasis via the nigro-vagal pathway in the brain-first endophenotype of the disease. One important mechanism by which the gut-brain axis may promote PD is by regulating gastrointestinal redox homeostasis as overwhelming evidence suggests that oxidative stress plays a key role in the etiopathogenesis and progression of PD and the gastrointestinal tract maintains redox homeostasis of the organism by acting as a critical barrier to environmental and microbiological electrophilic challenges. The present aim was to utilize the bilateral intrastriatal 6-hydroxydopamine (6-OHDA) brain-first PD model to study the effects of isolated central pathology on redox homeostasis of the gastrointestinal tract. Three-month-old male Wistar rats were either not treated (intact controls; CTR) or treated bilaterally intrastriatally with vehicle (CIS) or 6-OHDA (6-OHDA). Motor deficits were assessed with the rotarod performance test and the duodenum, ileum, and colon were dissected for biochemical analyses 12 weeks after the treatment. Lipid peroxidation, total antioxidant capacity, low-molecular thiols, and protein sulfhydryls, the activity of total and Mn/Fe superoxide dismutases, and total and azide-insensitive catalase/peroxidase were measured. Univariate and multivariate models of redox biomarkers provide solid evidence against the existence of pronounced gastrointestinal redox dyshomeostasis. The results indicate that the dysfunction of the nigro-vagal system and not motor deficit may be a key mediator of gastrointestinal dyshomeostasis in brain-first 6-OHDA-induced rodent models of PD.

neuroscience↗

bioRxiv2022

AYUKA: A toolkit for fast viral genotyping using whole genome sequencing.

Technological advances enabled the frequent use of whole genome sequencing in the clinical microbiology laboratory. While generating data is now easier than ever, the computational resources and expertise required for analysis are still a challenge for clinical applications. Since it is not always possible to collect clinical specimens at the peak viral load, sequencing results are also not always amenable for analysis with bioinformatics pipelines that always require high quality data. Here we present a fast and reliable method, we named AYUKA, for analysis of viral sequencing data that does not require data pre-processing and provides quality control metrics including estimates for sequencing depth and genome coverage, as well as identifying the viral genotypes in a sample and distinguishing mixed infection from recombinants. This method can be applied to any virus where a classification by genotype is employed and determining it is relevant. We generated a validation dataset composed of cultured and sequenced reference adenoviruses from distinct species, that we compared with the gold standard clinical processing pipeline currently implemented to demonstrate reliability. The validation shows better sensitivity than mapping and perfect specificity in detecting the correct genotypes and in a wide range of adenovirus species. Run time was consistently under one minute per sample on a standard laptop, allowing the analysis of more than 100 samples per hour. This open-source method is available at https://github.com/afonsoguerra/AYUKA and precomputed databases are available at https://zenodo.org/record/6521576 allowing analysis of raw data straight from the sequencer within minutes on a standard computer, with minimum setup or expertise required to perform the analysis. The information contained within the AYUKA report can be of use for both the clinical team that collected the sample, but also for guiding the bioinformatics analysis team in the in-depth downstream analyses and genetic epidemiology investigations.

bioinformatics↗

bioRxiv2022

Core species and interactions prominent in fish-associated microbiome dynamics

In aquatic ecosystems, the health of fish depends greatly on the dynamics of microbial community structure in the background environment. Nonetheless, finding microbes with profound impacts on fishs performance out of thousands of candidate species remains a major challenge. We here show that time-series analyses of microbial population dynamics illuminate core components and structure of fish-associated microbiomes. By targeting eel aquaculture microbiomes as model systems, we reconstructed the population dynamics of 9,605 bacterial and 303 archaeal species/strains across 128 days. Due to the remarkable increase/decrease of constituent microbial populations, the taxonomic compositions of microbiomes changed drastically through time. We then found that some specific microbial taxa showed positive relationship with eels activity level even after excluding cofounding effects of environmental parameters (pH and dissolved oxygen level) on population dynamics. In particular, a vitamin B12-producing bacteria, Cetobacterium somerae, consistently showed strong positive associations with eels activity level across the replicate time-series of the five aquaculture tanks. Network theoretical and metabolic modeling analyses further suggested that the highlighted bacterium formed compartments of close microbe-to-microbe interactions with some other bacterial taxa, forming potential core microbiomes with positive impacts on eels. Overall, these results suggest that integration of microbiology, ecological theory, and network science allows us to explore core species and interactions embedded within complex dynamics of fish-associated microbiomes.

ecology↗

bioRxiv2022

One Health Approach for the sampling of different bat species living in a sympatric colony

Bats are important contributors to the global ecosystems; at the same time, they are known to be a natural reservoir host for a number of human pathogenic viruses. These and many other unique features make them an interdisciplinary research object in the context of One Health, comprising zoology, ecology, virology, microbiology, molecular biology, immunology and public health issues. Performing field studies for bat research often aims to cover several of these topics and requires the combination of specific expertise in different fields. We carried out three individual field studies in Wavul Galge cave (Koslanda, Sri Lanka), where several bat species roost sympatrically. The main goals were to study the bat colony for ecological aspects and to sample bats for virological and molecular biological analyses. In the course of the field studies, we optimized the sampling procedure regarding safety aspects, a preferably low impact on the captured bats and an improved output of high-quality samples for further analysis. Different sampling methods and procedures were compared in order to establish a suitable strategy for frequent sampling and monitoring of these bats. In the present case study, we report on this process of optimizing our field work and provide suggestions for bat sampling methods that cause comparably less stress for the captured animals. We also report on constraints and obstacles encountered during the practical implementation and possible measures to overcome these. With these practical experiences, we hope to give support to other interdisciplinary research teams preparing for bat field work. Furthermore, we emphasize the need for the respectful treatment of the animals and minimized disturbance of their natural habitat when carrying out sustainable bat research.

zoology↗

bioRxiv2022

Quantitative Relationship between Intracellular Metabolic Responses against Nutrient Conditions and Metabolic Inhibitions

Many previous studies have attempted to predict the metabolic states of cells assuming metabolic regulation is optimized through (sometimes artificial) evolution for some objective, e.g., growth rate or production of some metabolites. Conventional approaches, however, require identifying the microscopic details of individual metabolic reactions and the objective functions of cells, and their predictions sensitively depend on such details. In this study, we focus on the responses of metabolic systems to environmental perturbations, rather than their metabolic states themselves, and theoretically demonstrate a universal property of the responses independent of the systems details. With the help of a microeconomic theory, we show a simple relationship between intracellular metabolic responses against nutrient abundance and metabolic inhibition due to manipulation such as drug administration: these two experimentally measurable quantities show a proportional relationship with a negative coefficient. This quantitative relationship should hold in arbitrary metabolic systems as long as the law of mass conservation holds and cells are optimized for some objectives, but the true objective functions need not be known. Through numerical calculations using large-scale metabolic networks such as the E. coli core model, we confirmed that the relationship is valid from abstract to detailed models. Because the relationship provides quantitative predictions regarding metabolic responses without prior knowledge of systems, our findings have implications for experimental applications in microbiology, systems biology, metabolic engineering, and medicine, particularly for unexplored organisms or cells.

systems biology↗