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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 Read source abstracts and check manuscript versions; preprints are not peer reviewed.

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An open-sourced 3D printable microscope with a large CNC stage

3D printed laboratory tools are a fast-developing field, and microscopes in particular have seen several high-quality projects reported in recent years. However, currently available projects for 3D printed microscopes have not been optimised for molecular biology applications. We present an open-source, 3D-printable optical microscope that has been specifically designed for affordability, ease of use, and versatility in molecular biology applications, particularly for fluorescence detection, time lapse imaging, and higher throughput scanning of microtitre plates. The microscope integrates a large computer numerically controlled (CNC) stage, allowing precise scanning of wells in standard microtiter plates, and is equipped with a Raspberry Pi HQ camera module and customizable optical components, including standard microscope objectives. The modular design allows for a range of illumination setups, such as a 3 W blue LED for basic epifluorescence, and supports additional modifications, including dark field or RGB matrix lighting. The design opens new possibilities for cheap home-built microscopes for bioscience applications that are modular and easily adaptable for specific user needs.

biophysics↗

Current production as a rapid response expression reporter under micro-oxic and anoxic conditions

Inducible gene expression is crucial for regulating cellular processes and production of compounds within cellular pathways. Yet, inducing gene expression is only the first step to utilizing cellular processes for an applied purpose such as biosensors. Detecting when gene expression occurs is central to understanding the overall mechanism of the process as well as maximizing the process. Fluorescent proteins have been established as the primary tool for detecting gene expression in inducible systems. This study proposes electricity production as an alternate tool in reporting gene expression. Using a model organism for electricity production, Shewanella oneidensis MR-1, current was shown to be an efficient reporter for gene expression and comparable to superfolder green fluorescent protein (GFP). Through regulation of the lac operator and T7 promoter, current production was induced by isopropyl {beta}-D-1-thiogalactopyranoside (IPTG) addition. IPTG addition induced translation of GFP and the MtrB protein, which complemented a {triangleup}mtrB strain of S. oneidensis MR-1 and restored current production. This inducible system generated reproducible current in 18 minutes in both micro-oxic and anoxic conditions. These results show that current is a fast reporter for gene expression.\n\nFinancial DisclosureThe team was supported by the following departments and colleges at Michigan State University: College of Natural Science, College of Engineering, Biochemistry and Molecular Biology Department and Plant Research Laboratory. The team also received support from the DOE Great Lakes Bioenergy Research Center (DOE Office of Science BER DE-FC02-07ER64494) and startup funding from the Department of Molecular Biology and Biochemistry, Michigan State University and support from Michigan State University AgBioResearch (MICL02454) (to B.H.). This work was also supported by NSF CAREER (Award #1254238) to T.A.W. MSU Alpha Chi Sigma also supported the team.\n\nCompeting InterestsThe authors declare that no competing interests exist.\n\nEthics StatementN/A\n\nData AvailabilityAll data will be supplied upon request by the corresponding author.\n\nThis work was assessed during the iGEM/PLOS Realtime Peer Review Jamboree on 23rd February 2018 and has been revised in response to the reviewers comments.

synthetic biology↗

Unlocking hidden phage diversity to complete the BASEL collection for systematic exploration of phage-host interactions

Research on bacteriophages, the viruses infecting bacteria, has fueled the development of modern molecular biology and inspired their therapeutic application to combat bacterial multidrug resistance. However, most work has so far focused on a few model phages which impedes direct applications of these findings in clinics and suggests that a vast potential of powerful molecular biology has remained untapped. We have therefore recently composed the BASEL collection of Escherichia coli phages (BActeriophage SElection for your Laboratory) which made a relevant diversity of phages infecting the E. coli K-12 laboratory strain accessible to the community. These phages are widely used, but their assorted diversity had remained limited by the E. coli K-12 host. We have therefore now genetically overcome the two major limitations of E. coli K-12, its lack of O-antigen glycans and the presence of resident bacterial immunity. Restoring O-antigen expression resulted in the isolation of diverse additional viral groups like Kagunavirus, Nonanavirus, Gordonclarkvirinae, and Gamaleyavirus, while eliminating all known antiviral defenses of E. coli K-12 additionally enabled us to isolate phages of Wifcevirus genus. Even though some of these viral groups appear to be common in nature, no phages from any of them had previously been isolated using E. coli laboratory strains and they had thus remained largely understudied. Overall, 37 new phage isolates have been added to complete the BASEL collection. These phages were deeply characterized genomically and phenotypically with regard to host receptors, sensitivity to antiviral defense systems, and host range. These results highlighted dominant roles of the O-antigen barrier for viral host recognition and of restriction-modification systems in bacterial immunity. We anticipate that the completed BASEL collection will propel research on phage-host interactions and their molecular mechanisms, deepening our understanding of viral ecology and fostering innovations in biotechnology and antimicrobial therapy.

microbiology↗

Nach is a novel ancestral subfamily of the CNC-bZIP transcription factors selected during evolution from the marine bacteria to human

All living organisms have undergone the evolutionary selection under the changing natural environments to survive as diverse life forms. All life processes including normal homeostatic development and growth into organismic bodies with distinct cellular identifications, as well as their adaptive responses to various intracellular and environmental stresses, are tightly controlled by signaling of transcriptional networks towards regulation of cognate genes by many different transcription factors. Amongst them, one of the most conserved is the basic-region leucine zipper (bZIP) family. They play vital roles essential for cell proliferation, differentiation and maintenance in complex multicellular organisms. Notably, an unresolved divergence on the evolution of bZIP proteins is addressed here. By a combination of bioinformatics with genomics and molecular biology, we have demonstrated that two of the most ancestral family members classified into BATF and Jun subgroups are originated from viruses, albeit expansion and diversification of the bZIP superfamily occur in different vertebrates. Interestingly, a specific ancestral subfamily of bZIP proteins is identified and also designated Nach (Nrf and CNC homology) on account of their highly conservativity with NF-E2 p45 subunit-related factors Nrf1/2. Further experimental evidence reveals that Nach1/2 from the marine bacteria exerts distinctive functions from Nrf1/2 in the transcriptional ability to regulate antioxidant response element (ARE)-driven cytoprotective genes. Collectively, an insight into Nach/CNC-bZIP proteins provides a better understanding of distinct biological functions between these factors selected during evolution from the marine bacteria to human.\n\nSignificanceWe identified the novel ancestral subfamily (i.e. Nach) of CNC-bZIP transcription factors with highly conservativity from marine bacteria to human. Combination of bioinformatics with genomics and molecular biology demonstrated that two of the most ancestral family members classified into BATF and Jun subgroups are originated from viruses. The Jun and CNC subfamilies also share a common origin of these bZIP proteins. Further experimental evidence reveals that Nach1/2 from the marine bacteria exerts nuance functions from human Nrf1/2 in the transcriptional ability to regulate antioxidant response element (ARE)-driven genes, responsible for the host cytoprotection against inflammation and cancer. Overall, this study is of multidisciplinary interests to provide a better understanding of distinct biological functions between Nach/CNC-bZIPs selected during evolution.

ecology↗

The impact of patient biology on racial disparities in breast cancer outcome

Hormone receptor positive (HR+) breast cancer is the most common subtype of breast cancer diagnosed globally. Despite effective targeted therapies, HR+ breast cancer remains a leading cause of cancer-related death in women. Long-standing epidemiological research identifies significantly worse outcomes for Black women diagnosed with HR+ breast cancer relative to White women. While structural factors such as access to healthcare and education level contribute to this outcome disparity, it persists even in analyses where these factors are controlled. In-depth analyses of the somatic molecular biology that may underlie these outcome disparities are hampered by a lack of datasets that represent Black patient populations. Here, we generate a HR+ breast cancer patient transcriptomic dataset that overrepresents Black women and controls for access to healthcare and education level. We find that signatures relating to the tumor microenvironment, i.e. collagen deposition and prognostically unfavorable T-cell landscapes are enriched in HR+ tumors from Black women. Importantly, we find, using experimental model systems in vitro and in vivo, that race-aligned collagen deposition patterns are at least partially attributable to tumor cell-intrinsic signaling and critical for Black breast cancer metastasis. We also find that unfavorable T-cell signatures in HR+ tumors from Black women, which have previously been attributed to race and ancestry, are more strongly poverty-aligned. Using multiple independent datasets, we identify STAT4 as a potential master regulator of this poverty-associated tumor immune signature. Together, these findings provide new evidence that somatic molecular biology of breast cancer patients can be modified by multiple structural factors such as self-identified race and poverty burden to promote poor patient outcomes. Integrating an understanding of structural factors into molecular cancer research is critical for implementing truly personalized, and maximally effective, oncology systems.

cancer biology↗

Miniaturised laboratorial equipment as a solution to implement conservation genetics tools and education in West African countries with limited infrastructures: an application to the study of illegal wildlife trade in Guinea-Bissau

Illegal wildlife trade (IWT) is considered one of the largest global illegal industries that negatively impacts biodiversity and sustainable development worldwide. DNA barcoding coupled with high-throughput sequencing has been shown to be useful in identifying taxa affected by IWT and has been routinely used during the last decades. However, for countries lacking laboratory infrastructures and sequencing units or trained staff, the application of DNA barcoding tools in conservation actions and policies is limited and dependent on slow sample export processes and molecular analyses carried out abroad. Guinea-Bissau (GB) is located on the West-African coast and has one of the lowest human development indices worldwide, while being a biodiversity hotspot facing many conservation challenges due to illegal commercial hunting, and trade in bushmeat and live individuals. Here, we explore the potential of using inexpensive and portable miniaturised laboratory equipment (MLE) to i) identify species illegally traded in GB using DNA barcoding methods and ii) to improve molecular biology and conservation genetic education and training in GB. Our overarching aim is to raise awareness of the current gap between the need to apply conservation genetic technologies in GB and the inability to do so due to a lack of laboratory infrastructures, sequencing units and opportunities for molecular biology training. We show that MLE can be a solution to accelerate the use of DNA barcoding methods to understand IWT and to train students, technicians and staff from governmental agencies dedicated to investigating environmental crimes, ultimately advancing the discipline of conservation genetics in the country.

zoology↗

From bioinformatics user to bioinformatics engineer: a report

Teaching computer programming is not a simple task and it is challenging to introduce the concepts of programming in graduate programs of other fields. Little efforts have been made on engaging students in computational development after programming trainings. An emerging need is to establish subjects of bioinformatics and programming languages in genetics and molecular biology graduate programs, when students in these degree programs are immersed in a sea of genomic and transcriptomic data, which demands proficient computational treatment. I report an empirical guideline to introduce programming languages and recommend Python as first language for graduate programs in which students were from genetics and molecular biology backgrounds. Including the development of programming solutions related to graduate students' research activities may improve programming skills and better engagement. These results suggest that the applied approach leads to enhanced learning of introductory to autonomy in highly advanced programming concepts by graduate students. This guide should be extended for other research programs.

scientific communication and education↗

Towards a unified resource for transcriptional regulation in Escherichia coli K-12: Incorporating high throughput-generated binding data within the classic framework of regulation of initiation of transcription in RegulonDB.

Our understanding of the regulation of gene expression has been strongly benefited by the availability of high throughput technologies that enable questioning the whole genome for the binding of specific transcription factors and expression profiles. In the case of genome models, such as Escherichia coli K-12, this knowledge needs to be integrated with the legacy of accumulated genetics and molecular biology pre-genomic knowledge in order to attain deeper levels in the understanding of their biology. In spite of the several repositories and curated databases, there is no effort, nor electronic site yet, to comprehensively integrate the available knowledge from all these different sources around the regulation of gene expression of E. coli K-12. In this paper, we describe a first effort to expand RegulonDB, the database containing the rich legacy of decades of classic molecular biology experiments supporting what we know about gene regulation and operon organization in E. coli K-12, to include the genome-wide data set collections from 25 ChIP and 18 gSELEX publications, respectively, in addition to around 60 expression profiles used in their curation. Three essential features for the integration of this information coming from different methodological approaches are; first, a controlled vocabulary within an ontology for precisely defining growth conditions, second, the criteria to separate elements with enough evidence to consider them involved in gene regulation from isolated sites, and third, an expanded computational model supporting this knowledge. Altogether, this constitutes the basis for adequately gathering and enabling the comparisons and integration strongly needed to manage and access such wealth of knowledge. This version of RegulonBD is a first step toward what should become the unifying access point for current and future knowledge on gene regulation in E. coli K-12. Furthermore, this model platform and associated methodologies and criteria, can well be emulated for gathering knowledge on other microbial organisms.

systems biology↗

Molecular and biological characterization of an isolate of Tomato mottle mosaic virus (ToMMV) infecting tomato and other experimental hosts in a greenhouse in Valencia, Spain

Tomato is known to be a natural and experimental reservoir host for many plant viruses. In the last few years a new tobamovirus species, Tomato mottle mosaic virus (ToMMV), has been described infecting tomato and pepper plants in several countries worldwide. Upon observation of symptoms in tomato plants growing in a greenhouse in Valencia, Spain, we aimed to ascertain the etiology of the disease. Using standard molecular techniques, we first detected a positive sense single-stranded RNA virus as the probable causal agent. Next, we amplified, cloned and sequenced a ~3 kb fragment of its RNA genome which allowed us to identify the virus as a new ToMMV isolate. Through extensive assays on distinct plant species, we validated Kochs postulates and investigated the host range of the ToMMV isolate. Several plant species were locally and/or systemically infected by the virus, some of which had not been previously reported as ToMMV hosts despite they are commonly used in research greenhouses. Finally, two reliable molecular diagnostic techniques were developed and used to assess the presence of ToMMV in different plants species. We discuss the possibility that, given the high sequence homology between ToMMV and Tomato mosaic virus, the former may have been mistakenly diagnosed as the latter by serological methods.

Microbiology↗

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↗

Evaluation of stability and inactivation methods of SARS-CoV-2 in context of laboratory settings

The novel coronavirus SARS-CoV-2 is the causative agent of the acute respiratory disease COVID-19, which has become a global concern due to its rapid spread. Laboratory work with SARS-CoV-2 in a laboratory setting was rated to biosafety level 3 (BSL-3) biocontainment level. However, certain research applications in particular in molecular biology require incomplete denaturation of the proteins, which might cause safety issues handling contaminated samples. In particular, it is critical to provide proof of inactivation before samples can be removed from the BSL-3. In this study, the stability of the virus in cell culture media at 4{degrees}C and on touch panel surfaces used in laboratory environment was analyzed. In addition, we evaluated common lysis buffers that are used in molecular biological laboratories for their ability to inactivate SARS-CoV-2. We have found that guanidine thiocyanate and most of the tested detergent containing lysis buffers were effective in inactivation of SARS-CoV-2, however, the M-PER lysis buffer containing a proprietary detergent failed to inactivate SARS-CoV-2. Furthermore, we compared chemical and non-chemical inactivation methods including ethanol, acetone-methanol mixture, PFA, UV-C light, and heat inactivation. In conclusion, careful evaluation of the used inactivation methods are required and additional inactivation steps are necessary before removal of lysed viral samples from BSL-3.

microbiology↗

pHAPE: a plasmid for production of DNA size marker ladders for gel electrophoresis

DNA size markers (also known as "molecular weight markers" or "DNA ladders") are an essential tool when using gel electrophoresis to identify and purify nucleic acids. However, the cost of these DNA ladders is not insignificant and, over time, impinges on the funds available for research and training in molecular biology. Here, we describe a method for the generation of "pHAPE", a plasmid from which a variety of DNA ladders can be generated via simple restriction enzyme digestions. The pHAPE plasmid can be generated by mutagenesis of the commonly used pBluescript II SK+ phagemid followed by insertion of a custom 7,141 bp sequence (made up of three smaller fragments). Our use of pHAPE allows us some small relief from the ever-rising costs of performing molecular biology experiments ("Dont worry, pHAPE").

synthetic biology↗

Characterization of CRISPR/Cas9 RANKL knockout mesenchymal stem cell clones based on single-cell printing technology and emulsion coupling assay as a low-cellularity workflow for single-cell cloning

The homogeneity of the genetically modified single-cells is a necessity for many applications such as cell line development, gene therapy, and tissue engineering and in particular for regenerative medical applications. The lack of tools to effectively isolate and characterize CRISPR/Cas9 engineered cells is considered as a significant bottleneck in these applications. Especially the incompatibility of protein detection technologies to confirm protein expression changes without a preconditional large-scale clonal expansion, creates a gridlock in many applications. To ameliorate the characterization of engineered cells, we propose an improved workflow, including single-cell printing/isolation technology based on fluorescent properties with high yield, a genomic edit screen (surveyor assay), mRNA rtPCR assessing altered gene expression and a versatile protein detection tool called emulsion-coupling to deliver a high-content, unified single-cell workflow. The workflow was exemplified by engineering and functionally validating RANKL knockout immortalized mesenchymal stem cells showing altered bone formation capacity of these cells. The resulting workflow is economical, without the requirement of large-scale clonal expansions of the cells with overall cloning efficiency above 30% of CRISPR/Cas9 edited cells. Nevertheless, as the single-cell clones are comprehensively characterized at an early, highly parallel phase of the development of cells including DNA, RNA, and protein levels, the workflow delivers a higher number of successfully edited cells for further characterization, lowering the chance of late failures in the development process. Author summaryI completed my undergraduate degree in biochemistry at the University of Ulm and finished my master's degree in pharmaceutical biotechnology at the University of Ulm and University of applied science of Biberach with a focus on biotechnology, toxicology and molecular biology. For my master thesis, I went to the University of Freiburg to the department of microsystems engineering, where I developed a novel workflow for cell line development. I stayed at the institute for my doctorate, but changed my scientific focus to the development of the emulsion coupling technology, which is a powerful tool for the quantitative and highly parallel measurement of protein and protein interactions. I am generally interested in being involved in the development of innovative molecular biological methods that can be used to gain new insights about biological issues. I am particularly curious to unravel the complex and often poorly understood protein interaction pathways that are the cornerstone of understanding cellular functionality and are a fundamental necessity to describe life mechanistically.

cell biology↗

Assessing heterogeneity in spatial data using the HTA index with applications to spatial transcriptomics and imaging

MotivationTumour heterogeneity is being increasingly recognised as an important characteristic of cancer and as a determinant of prognosis and treatment outcome. Emerging spatial transcriptomics data hold the potential to further our understanding of tumour heterogeneity and its implications. However, existing statistical tools are not sufficiently powerful to capture heterogeneity in the complex setting of spatial molecular biology. ResultsWe provide a statistical solution, the HeTerogeneity Average index (HTA), specifically designed to handle the multivariate nature of spatial transcriptomics. We prove that HTA has an approximately normal distribution, therefore lending itself to efficient statistical assessment and inference. We first demonstrate that HTA accurately reflects the level of heterogeneity in simulated data. We then use HTA to analyse heterogeneity in two cancer spatial transcriptomics datasets: spatial RNA sequencing by 10x Genomics and spatial transcriptomics inferred from H&E. Finally, we demonstrate that HTA also applies to 3D spatial data using brain MRI. In spatial RNA sequencing we use a known combination of molecular traits to assert that HTA aligns with the expected outcome for this combination. We also show that HTA captures immune-cell infiltration at multiple resolutions. In digital pathology we show how HTA can be used in survival analysis and demonstrate that high levels of heterogeneity may be linked to poor survival. In brain MRI we show that HTA differentiates between normal ageing, Alzheimers disease and two tumours. HTA also extends beyond molecular biology and medical imaging, and can be applied to many domains, including GIS. Availability . Contactlevyalona@gmail.com zohar.yakhini@gmail.com Supplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗

ChIP-DIP: A multiplexed method for mapping hundreds of proteins to DNA uncovers diverse regulatory elements controlling gene expression

Gene expression is controlled by the dynamic localization of thousands of distinct regulatory proteins to precise regions of DNA. Understanding this cell-type specific process has been a goal of molecular biology for decades yet remains challenging because most current DNA-protein mapping methods study one protein at a time. To overcome this, we developed ChIP-DIP (ChIP Done In Parallel), a split-pool based method that enables simultaneous, genome-wide mapping of hundreds of diverse regulatory proteins in a single experiment. We demonstrate that ChIP-DIP generates highly accurate maps for all classes of DNA-associated proteins, including histone modifications, chromatin regulators, transcription factors, and RNA Polymerases. Using these data, we explore quantitative combinations of protein localization on genomic DNA to define distinct classes of regulatory elements and their functional activity. Our data demonstrate that ChIP-DIP enables the generation of consortium level, context-specific protein localization maps within any molecular biology lab.

genomics↗

Systematic assessment of GFP tag position on protein localization and growth fitness in yeast

While protein tags are ubiquitously utilized in molecular biology, they harbor the potential to interfere with functional traits of their fusion counterparts. Systematic evaluation of the effect of protein tags on localization and function would promote accurate use of tags in experimental setups. Here we examine the effect of Green Fluorescent Protein (GFP) tagging at either the N or C terminus of budding yeast proteins on localization and functionality. We use a competition-based approach to decipher the relative fitness of two strains tagged on the same protein but on opposite termini and from that infer the correct, physiological localization for each protein and the optimal position for tagging. Our study provides a first of a kind systematic assessment of the effect of tags on the functionality of proteins and provides step towards broad investigation of protein fusion libraries.\n\nHighlightsO_LIProtein tags are widely used in molecular biology although they may interfere with protein function.\nC_LIO_LIThe subcellular localization of hundreds of proteins in yeast is different when tagged at the N or the C terminus.\nC_LIO_LIA competition based assay enables systematic deciphering of correct tagging terminus for essential proteins.\nC_LIO_LIThe presented approach can be used to derive physiologically relevant tagged libraries.\nC_LI

cell biology↗

Molecular properties and evolutionary origins of a parvovirus-derived myosin fusion gene in guinea pigs

Sequences derived from parvoviruses (family Parvoviridae) are relatively common in animal genomes, but the functional significance of these endogenous parvoviral element (EPV) sequences remains unclear. In this study we use a combination of in silico and molecular biological approaches to investigate a fusion gene encoded by guinea pigs (genus Cavia) that is partially derived from an EPV. This gene, named enRep-Myo9, encodes a predicted polypeptide gene product comprising a partial myosin9 (Myo9)-like gene fused to a 3 truncated, EPV- encoded replicase. We first examined the genomic and phylogenetic characteristics of the EPV locus that encodes the viral portions of enRep-Myo9. We show that this locus, named enRep, is specific to guinea pigs and derives from an ancient representative of the parvoviral genus Dependoparvovirus that integrated into the guinea pig germline 22-35 million years ago. Despite these ancient origins, however, the regions of enRep that are incorporated into the coding sequence of the enRep-Myo9 gene are conserved across multiple species in the family Caviidae (guinea pigs and cavies) consistent with purifying selection. Using molecular biological approaches, we further demonstrate that: (i) enRep-Myo9 mRNA is broadly transcribed in guinea pig cells; (ii) the cloned enRep-Myo9 transcript can express a protein of the expected size in guinea pig cells in vitro, and; (iii) the expressed protein localizes to the cytosol. Our findings demonstrate that, consistent with a functional role, the enRep-Myo9 fusion gene is evolutionarily conserved, broadly transcribed, and capable of expressing protein.\n\nImportanceDNA from viruses has been horizontally transferred to mammalian genomes during evolution, but the impact of this process on mammalian biology remains poorly understood. The findings of our study indicate that in guinea pigs a novel gene has evolved through fusion of host and virus genes.

evolutionary biology↗

Who Grows There? A Course-based Undergraduate Research Experience to explore the human microbiome through 16S DNA metabarcoding

We describe a two week Course-based Undergraduate Research Experience (CURE) to introduce students to next-generation DNA sequencing, molecular biology methods and a bioinformatic workflow. The CURE is designed to take students with little to no technical and bioinformatic experience through key steps of the protocol through scaffolded laboratory and computational practicals. Our students extract and amplify human microbiome DNA using 16S ribosomal RNA specific primers, then construct a sequencing library for Oxford Nanopore based sequencing. They taxonomically assign the sequencing reads, and determine the ecological community composition using relevant software packages. Our students were able to successfully prepare sequencing libraries and analyse the data to produce relevant figures, demonstrating they met the learning objectives of the CURE. Students identified that they had developed higher level learning as defined by Blooms taxonomy, and that their confidence in practical work significantly increased as a result of doing the CURE. We share recommendations for implementation of the CURE in undergraduate curricula, and adaptations of the methods for use in schools outreach. Our CURE successfully provides training for students in genetic analysis in an enjoyable and relatively time and cost efficient manner, preparing them for future research or careers in modern molecular biology techniques.

scientific communication and education↗