Rewriting yeast central carbon metabolism for industrial isoprenoid production.

A bio-based economy has the potential to provide sustainable substitutes for petroleum-based products and new chemical building blocks for advanced materials. We previously engineered Saccharomyces cerevisiae for industrial production of the isoprenoid artemisinic acid for use in antimalarial treatments. Adapting these strains for biosynthesis of other isoprenoids such as ß-farnesene (C15H24), a plant sesquiterpene with versatile industrial applications, is straightforward. However, S. cerevisiae uses a chemically inefficient pathway for isoprenoid biosynthesis, resulting in yield and productivity limitations incompatible with commodity-scale production. Here we use four non-native metabolic reactions to rewire central carbon metabolism in S. cerevisiae, enabling biosynthesis of cytosolic acetyl coenzyme A (acetyl-CoA, the two-carbon isoprenoid precursor) with a reduced ATP requirement, reduced loss of carbon to CO2-emitting reactions, and improved pathway redox balance. We show that strains with rewired central metabolism can devote an identical quantity of sugar to farnesene production as control strains, yet produce 25% more farnesene with that sugar while requiring 75% less oxygen. These changes lower feedstock costs and dramatically increase productivity in industrial fermentations which are by necessity oxygen-constrained. Despite altering key regulatory nodes, engineered strains grow robustly under taxing industrial conditions, maintaining stable yield for two weeks in broth that reaches >15% farnesene by volume. This illustrates that rewiring yeast central metabolism is a viable strategy for cost-effective, large-scale production of acetyl-CoA-derived molecules.

Challenging the workhorse: Comparative analysis of eukaryotic micro-organisms for expressing monoclonal antibodies.

For commercial protein therapeutics, Chinese hamster ovary (CHO) cells have an established history of safety, proven capability to express a wide range of therapeutic proteins and high volumetric productivities. Expanding global markets for therapeutic proteins and increasing concerns for broadened access of these medicines has catalyzed consideration of alternative approaches to this platform. Reaching these objectives likely will require an order of magnitude increase in volumetric productivity and a corresponding reduction in the costs of manufacture. For CHO-based manufacturing, achieving this combination of targeted improvements presents challenges. Based on a holistic analysis, the choice of host cells was identified as the single most influential factor for both increasing productivity and decreasing costs. Here we evaluated eight wild-type eukaryotic micro-organisms with prior histories of recombinant protein expression. The evaluation focused on assessing the potential of each host, and their corresponding phyla, with respect to key attributes relevant for manufacturing, namely (a) growth rates in industry-relevant media, (b) adaptability to modern techniques for genome editing, and (c) initial characterization of product quality. These characterizations showed that multiple organisms may be suitable for production with appropriate engineering and development and highlighted that yeast in general present advantages for rapid genome engineering and development cycles.

Metagenomic and functional analysis of hindgut microbiota of a wood-feeding higher termite.

From the standpoints of both basic research and biotechnology, there is considerable interest in reaching a clearer understanding of the diversity of biological mechanisms employed during lignocellulose degradation. Globally, termites are an extremely successful group of wood-degrading organisms and are therefore important both for their roles in carbon turnover in the environment and as potential sources of biochemical catalysts for efforts aimed at converting wood into biofuels. Only recently have data supported any direct role for the symbiotic bacteria in the gut of the termite in cellulose and xylan hydrolysis. Here we use a metagenomic analysis of the bacterial community resident in the hindgut paunch of a wood-feeding 'higher' Nasutitermes species (which do not contain cellulose-fermenting protozoa) to show the presence of a large, diverse set of bacterial genes for cellulose and xylan hydrolysis. Many of these genes were expressed in vivo or had cellulase activity in vitro, and further analyses implicate spirochete and fibrobacter species in gut lignocellulose degradation. New insights into other important symbiotic functions including H2 metabolism, CO2-reductive acetogenesis and N2 fixation are also provided by this first system-wide gene analysis of a microbial community specialized towards plant lignocellulose degradation. Our results underscore how complex even a 1-microl environment can be.

Genome sequencing and mapping reveal loss of heterozygosity as a mechanism for rapid adaptation in the vegetable pathogen Phytophthora capsici.

The oomycete vegetable pathogen Phytophthora capsici has shown remarkable adaptation to fungicides and new hosts. Like other members of this destructive genus, P. capsici has an explosive epidemiology, rapidly producing massive numbers of asexual spores on infected hosts. In addition, P. capsici can remain dormant for years as sexually recombined oospores, making it difficult to produce crops at infested sites, and allowing outcrossing populations to maintain significant genetic variation. Genome sequencing, development of a high-density genetic map, and integrative genomic or genetic characterization of P. capsici field isolates and intercross progeny revealed significant mitotic loss of heterozygosity (LOH) in diverse isolates. LOH was detected in clonally propagated field isolates and sexual progeny, cumulatively affecting >30% of the genome. LOH altered genotypes for more than 11,000 single-nucleotide variant sites and showed a strong association with changes in mating type and pathogenicity. Overall, it appears that LOH may provide a rapid mechanism for fixing alleles and may be an important component of adaptability for P. capsici.

De novo sequencing, assembly and analysis of the genome of the laboratory strain Saccharomyces cerevisiae CEN.PK113-7D, a model for modern industrial biotechnology.

Saccharomyces cerevisiae CEN.PK 113-7D is widely used for metabolic engineering and systems biology research in industry and academia. We sequenced, assembled, annotated and analyzed its genome. Single-nucleotide variations (SNV), insertions/deletions (indels) and differences in genome organization compared to the reference strain S. cerevisiae S288C were analyzed. In addition to a few large deletions and duplications, nearly 3000 indels were identified in the CEN.PK113-7D genome relative to S288C. These differences were overrepresented in genes whose functions are related to transcriptional regulation and chromatin remodelling. Some of these variations were caused by unstable tandem repeats, suggesting an innate evolvability of the corresponding genes. Besides a previously characterized mutation in adenylate cyclase, the CEN.PK113-7D genome sequence revealed a significant enrichment of non-synonymous mutations in genes encoding for components of the cAMP signalling pathway. Some phenotypic characteristics of the CEN.PK113-7D strains were explained by the presence of additional specific metabolic genes relative to S288C. In particular, the presence of the BIO1 and BIO6 genes correlated with a biotin prototrophy of CEN.PK113-7D. Furthermore, the copy number, chromosomal location and sequences of the MAL loci were resolved. The assembled sequence reveals that CEN.PK113-7D has a mosaic genome that combines characteristics of laboratory strains and wild-industrial strains.

Method for Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas9.

CRISPR-Cas has proven to be a powerful tool for precision genetic engineering in a variety of difficult genetic systems. In the highly tractable yeast S. cerevisiae, CRISPR-Cas can be used to conduct multiple engineering steps in parallel, allowing for engineering of complex metabolic pathways at multiple genomic loci in as little as 1 week. In addition, CRISPR-Cas can be used to consolidate multiple causal alleles into a single strain, bypassing the laborious traditional methods using marked constructs, or mating. These tools compress the engineering timeline sixfold or more, greatly increasing the productivity of the strain engineer.

Engineering Genomes with Genotype Specification Language.

High quality DNA design tools are becoming increasingly important as synthetic biology continues to increase the rate and throughput of building and testing genetic constructs. To make effective use of expanded build and test capacity, genotype design tools must not only be efficient enough to allow for many designs to be easily created, but also expressive enough to support the complex design patterns required by scientists on the frontier of genome engineering. Genotype Specification Language (GSL) is a language-based design tool invented at Amyris that enables scientists to quickly create DNA designs using a familiar syntax. This syntax provides a layer of abstraction that moves users away from reading and writing raw DNA sequences toward composing designs in terms of functional parts . GSL increases the speed at which scientists can design DNA constructs, provides a precise and reproducible representation of parts, and achieves these goals while maintaining design flexibility. Finally, the GSL compiler can emit information such as the exact final DNA sequence of the design as well as the reagents (primers and template information) required to physically build the constructs. Since its open-source release in February 2016, the GSL compiler can be freely downloaded and used by genome engineers to efficiently specify genetic designs. This chapter briefly introduces GSL syntax and design principles before examining specific examples of genome engineering tasks with accompanying GSL code.

Genotype Specification Language.

We describe here the Genotype Specification Language (GSL), a language that facilitates the rapid design of large and complex DNA constructs used to engineer genomes. The GSL compiler implements a high-level language based on traditional genetic notation, as well as a set of low-level DNA manipulation primitives. The language allows facile incorporation of parts from a library of cloned DNA constructs and from the "natural" library of parts in fully sequenced and annotated genomes. GSL was designed to engage genetic engineers in their native language while providing a framework for higher level abstract tooling. To this end we define four language levels, Level 0 (literal DNA sequence) through Level 3, with increasing abstraction of part selection and construction paths. GSL targets an intermediate language based on DNA slices that translates efficiently into a wide range of final output formats, such as FASTA and GenBank, and includes formats that specify instructions and materials such as oligonucleotide primers to allow the physical construction of the GSL designs by individual strain engineers or an automated DNA assembly core facility.

Low-Cost, High-Throughput Sequencing of DNA Assemblies Using a Highly Multiplexed Nextera Process.

In recent years, next-generation sequencing (NGS) technology has greatly reduced the cost of sequencing whole genomes, whereas the cost of sequence verification of plasmids via Sanger sequencing has remained high. Consequently, industrial-scale strain engineers either limit the number of designs or take short cuts in quality control. Here, we show that over 4000 plasmids can be completely sequenced in one Illumina MiSeq run for less than $3 each (15× coverage), which is a 20-fold reduction over using Sanger sequencing (2× coverage). We reduced the volume of the Nextera tagmentation reaction by 100-fold and developed an automated workflow to prepare thousands of samples for sequencing. We also developed software to track the samples and associated sequence data and to rapidly identify correctly assembled constructs having the fewest defects. As DNA synthesis and assembly become a centralized commodity, this NGS quality control (QC) process will be essential to groups operating high-throughput pipelines for DNA construction.

Efficient Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas.

CRISPR-Cas genome engineering in yeast has relied on preparation of complex expression plasmids for multiplexed gene knockouts and point mutations. Here we show that co-transformation of a single linearized plasmid with multiple PCR-generated guide RNA (gRNA) and donor DNA cassettes facilitates high-efficiency multiplexed integration of point mutations and large constructs. This technique allowed recovery of marker-less triple-engineering events with 64% efficiency without selection for expression of all gRNAs. The gRNA cassettes can be easily made by PCR and delivered in any combination. We employed this method to rapidly phenotype up to five specific allele combinations and identify synergistic effects. To prototype a pathway for the production of muconic acid, we integrated six DNA fragments totaling 24 kb across three loci in naive Saccharomyces cerevisiae in a single transformation. With minor modifications, we integrated a similar pathway in Kluyveromyces lactis. The flexibility afforded by combinatorial gRNA delivery dramatically accelerates complex strain engineering for basic research and industrial fermentation.

Rapid and reliable DNA assembly via ligase cycling reaction.

Assembly of DNA parts into DNA constructs is a foundational technology in the emerging field of synthetic biology. An efficient DNA assembly method is particularly important for high-throughput, automated DNA assembly in biofabrication facilities and therefore we investigated one-step, scarless DNA assembly via ligase cycling reaction (LCR). LCR assembly uses single-stranded bridging oligos complementary to the ends of neighboring DNA parts, a thermostable ligase to join DNA backbones, and multiple denaturation-annealing-ligation temperature cycles to assemble complex DNA constructs. The efficiency of LCR assembly was improved ca. 4-fold using designed optimization experiments and response surface methodology. Under these optimized conditions, LCR enabled one-step assembly of up to 20 DNA parts and up to 20 kb DNA constructs with very few single-nucleotide polymorphisms (<1 per 25 kb) and insertions/deletions (<1 per 50 kb). Experimental comparison of various sequence-independent DNA assembly methods showed that circular polymerase extension cloning (CPEC) and Gibson isothermal assembly did not enable assembly of more than four DNA parts with more than 50% of clones being correct. Yeast homologous recombination and LCR both enabled reliable assembly of up to 12 DNA parts with 60-100% of individual clones being correct, but LCR assembly provides a much faster and easier workflow than yeast homologous recombination. LCR combines reliable assembly of many DNA parts via a cheap, rapid, and convenient workflow and thereby outperforms existing DNA assembly methods. LCR assembly is expected to become the method of choice for both manual and automated high-throughput assembly of DNA parts into DNA constructs.

When consumers get their genomes.

Direct-to-consumer (DTC) genomics services enable consumers to gain access to their DNA sequence using research microarrays and curated genetic association literature. For a few hundred US dollars, consumers can compare their genotypes against current research results, including risk estimates for common diseases based on SNPs. The DTC companies are legally avoiding claims of medical utility but are assembling the components needed for genomic-based healthcare. They represent an early vision of what modern personalized medicine could become. This has resulted in some conflict between the research and regulatory communities and there are reasonable questions as to whether the science is sufficiently mature. The DTC providers are exploring and solving problems associated with communicating complex scientific data and have the potential to revolutionize research by organizing large communities efficiently using web technology.

Whole genome assembly from 454 sequencing output via modified DNA graph concept.

Recently, 454 Life Sciences Corporation proposed a new biochemical approach to DNA sequencing (the 454 sequencing). It is based on the pyrosequencing protocol. The 454 sequencing aims to give reliable output at a low cost and in a short time. The produced sequences are shorter than reads produced by classical methods. Our paper proposes a new DNA assembly algorithm which deals well with such data and outperforms other assembly algorithms used in practice. The constructed SR-ASM algorithm is a heuristic method based on a graph model, the graph being a modified DNA graph proposed for DNA sequencing by hybridization procedure. Other new features of the assembly algorithm are, among others, temporary compression of input sequences, and a new and fast multiple alignment heuristics taking advantage of the way the output data for the 454 sequencing are presented and coded. The usefulness of the algorithm has been proved in tests on raw data generated during sequencing of the whole 1.84Mbp genome of Prochlorococcus marinus bacteria and also on a part of chromosome 15 of Homo sapiens. The source code of SR-ASM can be downloaded from http://bio.cs.put.poznan.pl/ in the section 'Current research'--> 'DNA Assembly'. Among publicly available assemblers our algorithm appeared to generate the best results, especially in the number of produced contigs and in the lengths of the contigs with high similarity to the genome sequence.

De novo genome sequence assembly of a filamentous fungus using Sanger, 454 and Illumina sequence data.

Sequencing-by-synthesis technologies can reduce the cost of generating de novo genome assemblies. We report a method for assembling draft genome sequences of eukaryotic organisms that integrates sequence information from different sources, and demonstrate its effectiveness by assembling an approximately 32.5 Mb draft genome sequence for the forest pathogen Grosmannia clavigera, an ascomycete fungus. We also developed a method for assessing draft assemblies using Illumina paired end read data and demonstrate how we are using it to guide future sequence finishing. Our results demonstrate that eukaryotic genome sequences can be accurately assembled by combining Illumina, 454 and Sanger sequence data.

Dissecting biological "dark matter" with single-cell genetic analysis of rare and uncultivated TM7 microbes from the human mouth.

We have developed a microfluidic device that allows the isolation and genome amplification of individual microbial cells, thereby enabling organism-level genomic analysis of complex microbial ecosystems without the need for culture. This device was used to perform a directed survey of the human subgingival crevice and to isolate bacteria having rod-like morphology. Several isolated microbes had a 16S rRNA sequence that placed them in candidate phylum TM7, which has no cultivated or sequenced members. Genome amplification from individual TM7 cells allowed us to sequence and assemble >1,000 genes, providing insight into the physiology of members of this phylum. This approach enables single-cell genetic analysis of any uncultivated minority member of a microbial community.

Sequencing and analysis of Neanderthal genomic DNA.

Our knowledge of Neanderthals is based on a limited number of remains and artifacts from which we must make inferences about their biology, behavior, and relationship to ourselves. Here, we describe the characterization of these extinct hominids from a new perspective, based on the development of a Neanderthal metagenomic library and its high-throughput sequencing and analysis. Several lines of evidence indicate that the 65,250 base pairs of hominid sequence so far identified in the library are of Neanderthal origin, the strongest being the ascertainment of sequence identities between Neanderthal and chimpanzee at sites where the human genomic sequence is different. These results enabled us to calculate the human-Neanderthal divergence time based on multiple randomly distributed autosomal loci. Our analyses suggest that on average the Neanderthal genomic sequence we obtained and the reference human genome sequence share a most recent common ancestor approximately 706,000 years ago, and that the human and Neanderthal ancestral populations split approximately 370,000 years ago, before the emergence of anatomically modern humans. Our finding that the Neanderthal and human genomes are at least 99.5% identical led us to develop and successfully implement a targeted method for recovering specific ancient DNA sequences from metagenomic libraries. This initial analysis of the Neanderthal genome advances our understanding of the evolutionary relationship of Homo sapiens and Homo neanderthalensis and signifies the dawn of Neanderthal genomics.

Physical map-assisted whole-genome shotgun sequence assemblies.

We describe a targeted approach to improve the contiguity of whole-genome shotgun sequence (WGS) assemblies at run-time, using information from Bacterial Artificial Chromosome (BAC)-based physical maps. Clone sizes and overlaps derived from clone fingerprints are used for the calculation of length constraints between any two BAC neighbors sharing 40% of their size. These constraints are used to promote the linkage and guide the arrangement of sequence contigs within a sequence scaffold at the layout phase of WGS assemblies. This process is facilitated by FASSI, a stand-alone application that calculates BAC end and BAC overlap length constraints from clone fingerprint map contigs created by the FPC package. FASSI is designed to work with the assembly tool PCAP, but its output can be formatted to work with other WGS assembly algorithms able to use length constraints for individual clones. The FASSI method is simple to implement, potentially cost-effective, and has resulted in the increase of scaffold contiguity for both the Drosophila melanogaster and Cryptococcus gattii genomes when compared to a control assembly without map-derived constraints. A 6.5-fold coverage draft DNA sequence of the Pan troglodytes (chimpanzee) genome was assembled using map-derived constraints and resulted in a 26.1% increase in scaffold contiguity.