The increasing threat of emerging and re-emerging pathogens calls for a shared vision toward developing and maintaining global surveillance mechanisms to enable rapid characterization of pathogens, a foundational requirement for effective outbreak response. Efforts establishing new surveillance programs in low- and middle-income countries (LMICs) have repeatedly led to siloed systems that prove unsustainable or ineffective due to narrowly focused approaches, competing priorities, or lack of resourcing. Barriers inherent to LMICs, such as resource limitations, workforce strain, unreliable supply chains, and lack of enduring champions exacerbate implementation and sustainability challenges. In order to improve adoption and endurance of new surveillance programs, more effective design and implementation of programs is needed to adequately reflect stakeholder needs and simultaneously support population-level disease monitoring and clinical decision-making across a range of chronic and acute health issues. At the heart of this cross-sectorial integration between clinical care and public health initiatives are emerging technologies and data modalities, including sequencing data. In this prospective, we propose an implementation strategy for genomics-based surveillance initiatives in LMICs founded on the use of a target operating model. Adoption of a target operating model for the design and implementation of genomic surveillance programs will ensure programs are agile, relevant, and unified across diverse stakeholder communities, thereby increasing their overall impact and sustainability.

After establishing the four principles of Trustworthy Synthetic Biology-safety, assuredness, efficiency, and robustness-a team of researchers at the Johns Hopkins University Applied Physics Laboratory (APL) generated trustworthy plant sensor and reporter systems. Their work, initially funded as an APL independent research and development project, has since transitioned to a sponsor-funded project.

Advances in genome editing and gene synthesis technologies have increased the ease with which biological agents can be engineered. Existing methods to identify the engineering source are insufficient for attribution. We hypothesized that strategies used for DNA design and optimization could act as identifiable fingerprints of design software or particular vendors, making engineered agents more attributable to their source. To test this hypothesis, sequences optimized using various gene synthesis vendors were characterized using a machine learning model. By capturing optimization signatures unique to each vendor, the trained model showed an ability to identify a sequences origin with an accuracy up to 92%, indicating it is possible to distinguish the algorithm utilized to optimize a genetic sequence based on the DNA sequence output alone.

Biological response to blast overpressure is complex and results in various and potentially non-concomitant acute and long-term deficits to exposed individuals. Clinical links between blast severity and injury outcomes remain elusive and have yet to be fully described, resulting in a critical inability to develop associated protection and mitigation strategies. Further, experimental models frequently fail to reproduce observed physiological phenomena and/or introduce artifacts that confound analysis and reproducibility. New models are required that employ consistent mechanical inputs, scale with biological analogs and known clinical data, and permit high-throughput examination of biological responses for a range of environmental and battlefield- relevant exposures. Here we describe a novel, biofidelic headform capable of integrating complex biological samples for blast exposure studies. We additionally demonstrate its utility in detecting acute transcriptional responses in the model organism Caenorhabditis elegans after exposure to blast overpressure. This approach enables correlation between mechanical exposure and biological outcome, permitting both the enhancement of existing surrogate and computational models and the high-throughput biofidelic testing of current and future protection systems.

We describe complete design of a synthetic eukaryotic genome, Sc2.0, a highly modified Saccharomyces cerevisiae genome reduced in size by nearly 8%, with 1.1 megabases of the synthetic genome deleted, inserted, or altered. Sc2.0 chromosome design was implemented with BioStudio, an open-source framework developed for eukaryotic genome design, which coordinates design modifications from nucleotide to genome scales and enforces version control to systematically track edits. To achieve complete Sc2.0 genome synthesis, individual synthetic chromosomes built by Sc2.0 Consortium teams around the world will be consolidated into a single strain by “endoreduplication intercross.” Chemically synthesized genomes like Sc2.0 are fully customizable and allow experimentalists to ask otherwise intractable questions about chromosome structure, function, and evolution with a bottom-up design strategy.

Synthetic chromosome rearrangement and modification by loxP-mediated evolution (SCRaMbLE) generates combinatorial genomic diversity through rearrangements at designed recombinase sites. We applied SCRaMbLE to yeast synthetic chromosome arm synIXR (43 recombinase sites) and then used a computational pipeline to infer or unscramble the sequence of recombinations that created the observed genomes. Deep sequencing of 64 synIXR SCRaMbLE strains revealed 156 deletions, 89 inversions, 94 duplications, and 55 additional complex rearrangements; several duplications are consistent with a double rolling circle mechanism. Every SCRaMbLE strain was unique, validating the capability of SCRaMbLE to explore a diverse space of genomes. Rearrangements occurred exclusively at designed loxPsym sites, with no significant evidence for ectopic rearrangements or mutations involving synthetic regions, the 99% nonsynthetic nuclear genome, or the mitochondrial genome. Deletion frequencies identified genes required for viability or fast growth. Replacement of 3' UTR by non-UTR sequence had surprisingly little effect on fitness. SCRaMbLE generates genome diversity in designated regions, reveals fitness constraints, and should scale to simultaneous evolution of multiple synthetic chromosomes.

The development of the single cell layer skin or hypodermis of Caenorhabditis elegans is an excellent model for understanding cell fate specification and differentiation. Early in C. elegans embryogenesis, six rows of hypodermal cells adopt dorsal, lateral or ventral fates that go on to display distinct behaviors during larval life. Several transcription factors are known that function in specifying these major hypodermal cell fates, but our knowledge of the specification of these cell types is sparse, particularly in the case of the ventral hypodermal cells, which become Vulval Precursor Cells and form the vulval opening in response to extracellular signals. Previously, the gene pvl-4 was identified in a screen for mutants with defects in vulval development. We found by whole genome sequencing that pvl-4 is the Paired-box gene pax-3, which encodes the sole PAX-3 transcription factor homolog in C. elegans. pax-3 mutants show embryonic and larval lethality, and body morphology abnormalities indicative of hypodermal cell defects. We report that pax-3 is expressed in ventral P cells and their descendants during embryogenesis and early larval stages, and that in pax-3 reduction-of-function animals the ventral P cells undergo a cell fate transformation and express several markers of the lateral seam cell fate. Furthermore, forced expression of pax-3 in the lateral hypodermal cells causes them to lose expression of seam cell markers. We propose that pax-3 functions in the ventral hypodermal cells to prevent these cells from adopting the lateral seam cell fate. pax-3 represents the first gene required for specification solely of the ventral hypodermal fate in C. elegans providing insights into cell type diversification.

Designer Chromosome One of the ultimate aims of synthetic biology is to build designer organisms from the ground up. Rapid advances in DNA synthesis has allowed the assembly of complete bacterial genomes. Eukaryotic organisms, with their generally much larger and more complex genomes, present an additional challenge to synthetic biologists. Annaluru et al. (p. 55 , published online 27 March) designed a synthetic eukaryotic chromosome based on yeast chromosome III. The designer chromosome, shorn of destabilizing transfer RNA genes and transposons, is ∼14% smaller than its wild-type template and is fully functional with every gene tagged for easy removal.

This protocol describes the preparation of different types of media to grow the yeast Saccharomyces cerevisiae, both on plates and in liquid culture.

Random PCR mutagenesis enables the rapid and inexpensive construction of a library of mutant genetic elements.

Quantitative PCR (qPCR), also called real-time PCR or quantitative real-time PCR, is a PCR-based technique that couples amplification of a target DNA sequence with quantification of the concentration of that DNA species in the reaction. This method enables calculation of the starting template concentration and is therefore a frequently used analytical tool in evaluating DNA copy number, viral load, SNP detection, and allelic discrimination. When preceded by reverse-transcription PCR, qPCR is a powerful tool to measure mRNA expression and is the gold standard for microarray gene expression data confirmation. Given the broad applications of qPCR and the many technical variations that have been developed, a brief survey of qPCR, including technical background, available chemistries, and data analysis techniques will provide a framework for both experimental design and evaluation.

The ability to isolate genomic DNA rapidly and effectively for analysis by PCR, Southern blotting, or other methods is an essential skill. This protocol provides a fast and efficient method for obtaining genomic DNA from S. cerevisiae.

Quantitative PCR (qPCR), also called real-time PCR or quantitative real-time PCR, is a PCR-based technique that couples amplification of a target DNA sequence with quantification of the concentration of that DNA species in the reaction. This method enables calculation of the starting template concentration and is therefore a frequently used analytical tool in evaluating DNA copy number, viral load, SNP detection, and allelic discrimination. When preceded by reverse-transcription PCR, qPCR is a powerful tool to measure mRNA expression and is the gold standard for microarray gene expression data confirmation. Given the broad applications of qPCR and the many technical variations that have been developed, a brief survey of qPCR, including technical background, available chemistries, and data analysis techniques will provide a framework for both experimental design and evaluation.

We have recently reported the first partially synthetic eukaryotic genome. Saccharomyces cerevisiae chromosomes synIXR and semi-synVIL are fully synthetic versions of the right arm of chromosome IX and the telomeric segment of the left arm of chromosome VI, respectively, and represent the beginning of the synthetic yeast genome project, Sc2.0, that progressively replaces native yeast DNA with synthetic sequences. We have designed synthetic chromosome sequences according to principles specifying a wild-type phenotype, highly stable genome, and maintenance of genetic flexibility. Although other synthetic genome projects exist, the Sc2.0 approach is unique in that we have implemented design specifications predicted to generate a wild-type phenotype until induction of “SCRaMbLE,” an inducible evolution system that generates significant genetic diversity. Here we further explore the significance of Sc2.0 and show how SCRaMbLE can serve as a genome minimization tool.

As described in a different chapter in this volume, the uracil-specific excision reaction (USER) fusion method can be used to assemble multiple small DNA fragments (∼0.75-kb size) into larger 3-kb DNA segments both in vitro and in vivo (in Escherichia coli). However, in order to assemble an entire synthetic yeast genome (Sc2.0 project), we need to be able to assemble these 3-kb pieces into larger DNA segments or chromosome-sized fragments. This assembly into larger DNA segments is carried out in vivo, using homologous recombination in yeast. We have successfully used this approach to assemble a 40-kb chromosome piece in the yeast Saccharomyces cerevisiae. A lithium acetate (LiOAc) protocol using equimolar amount of overlapping smaller fragments was employed to transform yeast. In this chapter, we describe the assembly of 3-kb fragments with an overlap of one building block (∼750 base pairs) into a 40-kb DNA piece.

Recent advances in DNA synthesis technology make it possible to design and synthesize DNA fragments of several kb in size. However, the process of assembling the smaller DNA fragments into a larger DNA segment is still a cumbersome process. In this chapter, we describe the use of the uracil specific excision reaction (USER)-mediated approach for rapid and efficient assembly of multiple DNA fragments both in vitro and in vivo (using Escherichia coli). For USER fusion in vitro assembly, each of the individual building blocks (BBs), 0.75 kb in size (that are to be assembled), was amplified using the appropriate forward and reverse primers containing a single uracil (U) and DNA polymerase. The overlaps between adjoining BBs were 8-13 base pairs. An equimolar of the amplified BBs were mixed together and treated by USER enzymes to generate complementary 3' single-strand overhangs between adjoining BBs, which were then ligated and amplified simultaneously to generate the larger 3-kb segments. The assembled fragments were then cloned into plasmid vectors and sequenced to confirm their identity. For USER fusion in vivo assembly in E. coli, USER treatment of the BBs was performed in the presence of a synthetic plasmid, which had 8-13 base pair overlaps at the 5'-end of the 5' BB and at the 3'-end of the 3' BB in the mixture. The USER treated product was then transformed directly into E. coli to efficiently and correctly reconstitute the recombinant plasmid containing the desired target insert. The latter approach was also used to rapidly assemble three different target genes into a vector to form a new synthetic plasmid construct.

Recent advances in DNA synthesis technology have enabled the construction of novel genetic pathways and genomic elements, furthering our understanding of system-level phenomena. The ability to synthesize large segments of DNA allows the engineering of pathways and genomes according to arbitrary sets of design principles. Here we describe a synthetic yeast genome project, Sc2.0, and the first partially synthetic eukaryotic chromosomes, Saccharomyces cerevisiae chromosome synIXR, and semi-synVIL. We defined three design principles for a synthetic genome as follows: first, it should result in a (near) wild-type phenotype and fitness; second, it should lack destabilizing elements such as tRNA genes or transposons; and third, it should have genetic flexibility to facilitate future studies. The synthetic genome features several systemic modifications complying with the design principles, including an inducible evolution system, SCRaMbLE (synthetic chromosome rearrangement and modification by loxP-mediated evolution). We show the utility of SCRaMbLE as a novel method of combinatorial mutagenesis, capable of generating complex genotypes and a broad variety of phenotypes. When complete, the fully synthetic genome will allow massive restructuring of the yeast genome, and may open the door to a new type of combinatorial genetics based entirely on variations in gene content and copy number.

Synthetic biology projects aim to produce physical DNA that matches a designed target sequence. Chemically synthesized oligomers are generally used as the starting point for building larger and larger sequences. Due to the error rate of chemical synthesis, these oligomers can have many differences from the target sequence. As oligomers are joined together to make larger and larger synthetic intermediates, it becomes essential to perform quality control to eliminate intermediates with errors and retain only those DNA molecules that are error free with respect to the target. This step is often performed by transforming bacteria with synthetic DNA and sequencing colonies until a clone with a perfect sequence is identified. Here we present CloneQC, a lightweight software pipeline available as a free web server and as source code that performs quality control on sequenced clones. Input to the server is a list of desired sequences and forward and reverse reads for each clone. The server generates summary statistics (error rates and success rates target-by-target) and a detailed report of perfect clones. This software will be useful to laboratories conducting in-house DNA synthesis and is available at http://cloneqc.thruhere.net/ and as Berkeley Software Distribution (BSD) licensed source.

The goal of the Saccharomyces cerevisiae v2.0 project is the complete synthesis of a re-designed genome for baker's yeast. The resulting organism will permit systematic studies of eukaryotic chromosome structure that have been impossible to explore with traditional gene-at-a-time experiments. The efficiency of chemical synthesis of DNA does not yet permit direct synthesis of an entire chromosome, although it is now feasible to synthesize multi-kilobase pieces of DNA that can be combined into larger molecules. Designing a chromosome-sized sequence that can be assembled from smaller pieces has to date been accomplished by biological experts in a laborious and error-prone fashion. Here we pose DNA design as an optimization problem and obtain optimal solutions with a parallelizable dynamic programming algorithm.

A major challenge in undergraduate life science curricula is the continual evaluation and development of courses that reflect the constantly shifting face of contemporary biological research. Synthetic biology offers an excellent framework within which students may participate in cutting-edge interdisciplinary research and is therefore an attractive addition to the undergraduate biology curriculum. This new discipline offers the promise of a deeper understanding of gene function, gene order, and chromosome structure through the de novo synthesis of genetic information, much as synthetic approaches informed organic chemistry. While considerable progress has been achieved in the synthesis of entire viral and prokaryotic genomes, fabrication of eukaryotic genomes requires synthesis on a scale that is orders of magnitude higher. These high-throughput but labor-intensive projects serve as an ideal way to introduce undergraduates to hands-on synthetic biology research. We are pursuing synthesis of Saccharomyces cerevisiae chromosomes in an undergraduate laboratory setting, the Build-a-Genome course, thereby exposing students to the engineering of biology on a genomewide scale while focusing on a limited region of the genome. A synthetic chromosome III sequence was designed, ordered from commercial suppliers in the form of oligonucleotides, and subsequently assembled by students into approximately 750-bp fragments. Once trained in assembly of such DNA "building blocks" by PCR, the students accomplish high-yield gene synthesis, becoming not only technically proficient but also constructively critical and capable of adapting their protocols as independent researchers. Regular "lab meeting" sessions help prepare them for future roles in laboratory science.