Tag Archives: sequence

By Khyrrah-Cymone Shepard

Genome sequencing has made remarkable strides since the initiation of “The Human Genome Project” in 1990. Still, there are many challenges that must be overcome before this methodology can reach its fullest potential and be useful in serving as a method of Cannabis sativa genetics verification and tracking throughout the cannabis supply chain. Several major milestones that must be realized include end-to-end haploid type (single, unpaired set of chromosomes instead of complete paired set or “diploid”), long read, resolved genome sequences at a reasonable cost within a reasonable timeframe and with confidence in accuracy (Mostovoy et al.). These genomes are typically generated as shorter reads that are then scaffolded (Fig 1.) or matched to reference genomes in order to build a longer continuous read. While shorter sequencing reads indeed lower the cost barrier for producing more genomic data, it has created another issue as a result of this short-read technology.

Figure 1: Four sets of sequencing data (long-read WGS, Hi-C, optical mapping, and short-read WGS) were produced to generate the goat reference genome. A tiered scaffolding approach using optical mapping data followed by Hi-C proximity-guided assembly produced the highest-quality genome assembly. (Bickhart et al.)

There are two main issues with the more affordable short read sequencing methodology, the first being that sequential variants are typically not detected, especially if they involve a ton of repeats/inverted repeats, due to the limitation of the current referenced Cannabis genomes and the mapping process of the short-read sequences. This is especially unfortunate because larger variants can have up to a 13% variance within a diploid multichromosomal genome, such as Cannabis sativa, and this variance is thought to largely contribute to disease in various species, or maybe terpene profile in Cannabis sativa. Not being able to detect these variances with more affordable sequencing methodologies is particularly problematic and reference genomes produced with short read sequences are typically highly fragmented. The second limitation is the inherent errors, gaps and other ambiguities associated with taking tons of short read sequences and combining them all, like a jigsaw puzzle, in order to draft the larger genomic picture. While there is software with algorithms to assist in deciphering raw sequences, there is still much more work to be done on this challenge, considering that cannabis genome sequencing is new genomics territory. Unfortunately, as researchers seek higher and higher levels of data quality, shortcomings of this type of sequencing technology begin to become apparent. This sort of sequencing methodology relies heavily on reference sequences. This isn’t much of an issue with microbial genomes, which tend to be rather short and typically have one chromosome, however, when seeking to analyze much longer genomes with multiple diploid chromosomes and tons of mono and dinucleotide repeats, problems arise (English et al.).

Figure 2: Blockchain Digital Stamping Certificate which publicly documents the date and time of the completion of this work. (Mckernan – Crypto Funded Public Genomics)

The other category of sequencing is long read sequencing. Long read sequencing is as it sounds, the deciphering of much longer DNA strands. Of course, the technology is limited by the quality of the DNA captured, therefore, special high molecular weight DNA extraction protocols must be deployed in order to obtain the proper DNA quality (Fig. 3). Once this initial limitation is overcome there is the stark cost of long read sequencing technology. PacBio without a doubt makes one of the highest quality long read sequence generating instruments that has ever graced the field of biotechnology, but due to the steep price tag of the machine, progress in this field has been stifled simply because it just isn’t affordable and the read depth for mammalian and plant genomes is currently almost completely prohibitive until read lengths double in length for this instrumentation. In order to produce what is considered to be a “validated genome” both short read and long read sequencing methodologies are combined. Long read sequencing data is used to produce the reference contigs because they are much easier to assemble, then short read sequencing is scaffolded against the reference contigs as a sort of “consensus validation” of the long read contigs.

Figure 3: Depiction of various DNA high molecular weight DNA quality captured during cannabis genome submission project. (Mckernan – Crypto Funded Public Genomics)

Despite the shortcoming of utilizing short read sequencing technology for analysis of the cannabis genome, it is still useful especially when combined with other longer read sequencing technologies or optical mapping technologies. Kevin McKernan, chief scientific officer of Medicinal Genomics, has been working feverishly to bridge the information gap between the cannabis genome and other widely studied plant genomes. As a scientist that worked on the Human Genome Project in 2001, McKernan has a demonstrated history of brilliance in the field of genomics. This paved the way for him to coordinate the first crypto funded and blockchain notarized sequencing project (DASH DAO funded) (Fig. 2), which was completed in 60 days, and surprisingly showed that the cannabis genome is over 1 billion bases long which is 30% larger than any cannabis genome submitted prior to his work. By reaching the standard of 500kb N50 set forth by the Human Genome Project, Kevin McKernan was able to see new aspects of the cannabis genome that were not visible due to the fragmented genomic data previously generated. Information such as a possible linkage of THCA synthase and CBDA synthase genes is crucial when seeking to use the cannabis genome for verification and tracking purposes. This is because special linkages can be considered a type of “genetic marker” that may be used to differentiate cannabis cultivars and lineages. There are many types of genetic markers, including SNP (single nucleotide polymorphisms), VNTR (variable number tandem repeats) and even patterns of gene expression. Funding and recording of cannabis genomics must be further developed in order for potential markers to be identified and validated via larger scale genome-wide association studies.

These technologies, when combined, often reduce the number of scaffolds while increasing the percent of resolved genome by filling in gaps within the drafted genome. Nanopore sequencing is an especially interesting and innovative sequencing technology that is useful in many ways. One of the most powerful uses of this technology is its ability to upgrade the quality of draft and pushed genomes by resolving poorly organized genomes and genomic structure for a fraction of the time and cost of other long read sequencing platforms (Jian et al.), making it an excellent candidate for solving cost and time constraints. Nanopore’s portability and convenience makes it a real-time solution to solving genetics-based problems and questions. A notable use of this technology is recorded during an epidemiological outbreak in Africa, its proof of concept in pathogen detection in space, and its ability to detect base modifications during sequencing process. Even still there are more uses to this exciting technology and it has the potential to elevate cannabis genomics and the field of genomics entirely, while remaining portable and expeditious. A shortcoming of the Nanopore sequencing platform is its low sequencing coverage, which makes this platform inefficient for applications like haplotype phasing and single nucleotide variant detection due to the number of variants to be detected being smaller than the published variant-detection error rates of algorithms using MinION data. Single nucleotide variants can be considered to be genetic markers, especially markers for disease, so this is what inhibits Nanopore from resolving our cannabis genome sequencing problems, as of today.

There are genetic markers to discover, molecular biology protocols to optimize, and industry wide potential for exciting collaborationMany algorithmic problems seem to occur due to input data quality. Typical input data quality suffers as the reads get longer and the sequencing depth gets shorter, resulting in not enough data being generated by the sequencing to provide confidence in the genome assembly. To mitigate this, scientists may decide to fractionate a genome, sequence it, or they may clone a difficult to sequence region with highly repetitive regions in order to produce reads with greater depth and thus resolve the region. They can then perform single molecule sequencing to resolve genome structure then determine and confirm the place of the cloned region. Thus, it seems that the best solution to the limitation of algorithms is to be aware of sequencing platform limitations and compensate for these limitations by using more than one sequencing platform to obtain enough pertinent data to confidently produce authentic, “validated” genome assemblies (Huddleston et al.). With input data being critical in producing accurate sequencing data, standardization of DNA isolation protocols, extraction reagents and any enzymes utilized may be deemed necessary.

To conclude, the field of cannabis genomics is teeming with opportunities. There are genetic markers to discover, molecular biology protocols to optimize, and industry wide potential for exciting collaboration. More states will need to take into account the lack of federal government research grant availability and begin to think of creative ways to get cannabis science funds to continue the development of this industry. Specifically speaking, developing a feasible method for genetic tracking of cannabis plants will require improvements within the availability of sequencing technology, improvements in deploying the resources to these projects in order for them to be completed expeditiously, and standardization/validation of methods and SOPs used in order to increase confidence in the accuracy of the data generated.

A special thank you to all of my cannabis industry mentors that have molded and elevated my understanding of current needs and applied technologies within the cannabis industry, without you there would be no career within this industry for me. You are immensely appreciated.

Citations

Bickhart, D. M., Rosen, B. D., Koren, S., Sayre, B. L., Hastie, A. R., Chan, S., . . . Smith, T. P. (2017). Single-molecule sequencing and chromatin conformation capture enable de novo reference assembly of the domestic goat genome. Nature Genetics,49(4), 643-650. doi:10.1038/ng.3802

English, A. C., Salerno, W. J., Hampton, O. A., Gonzaga-Jauregui, C., Ambreth, S., Ritter, D. I., . . . Gibbs, R. A. (2015). Assessing structural variation in a personal genome—towards a human reference diploid genome. BMC Genomics,16(1). doi:10.1186/s12864-015-1479-3

Huddleston, J., Ranade, S., Malig, M., Antonacci, F., Chaisson, M., Hon, L., . . . Eichler, E. E. (2014). Reconstructing complex regions of genomes using long-read sequencing technology. Genome Research,24(4), 688-696. doi:10.1101/gr.168450.113

Jain, M., Olsen, H. E., Paten, B., & Akeson, M. (2016). The Oxford Nanopore MinION: Delivery of nanopore sequencing to the genomics community. Genome Biology,17(1). doi:10.1186/s13059-016-1103-0

Mostovoy, Y., Levy-Sakin, M., Lam, J., Lam, E. T., Hastie, A. R., Marks, P., . . . Kwok, P. (2016). A hybrid approach for de novo human genome sequence assembly and phasing. Nature Methods,13(7), 587-590. doi:10.1038/nmeth.3865

March 1, 2018

Colorado vs. California: Two Different Approaches to Mold Testing in Cannabis

By Swetha Kaul, PhD

8 Comments

Across the country, there is a patchwork of regulatory requirements that vary from state to state. Regulations focus on limiting microbial impurities (such as mold) present in cannabis in order for consumers to receive a safe product. When cultivators in Colorado and Nevada submit their cannabis product to laboratories for testing, they are striving to meet total yeast and mold count (TYMC) requirements.In a nascent industry, it is prudent for state regulators to reference specific testing methodologies so that an industry standard can be established.

TYMC refers to the number of colony forming units present per gram (CFU/g) of cannabis material tested. CFU is a method of quantifying and reporting the amount of live yeast or mold present in the cannabis material being tested. This number is determined by plating the sample, which involves spreading the sample evenly in a container like a petri dish, followed by an incubation period, which provides the ideal conditions for yeast and mold to grow and multiply. If the yeast and mold cells are efficiently distributed on a plate, it is assumed that each live cell will give rise to a single colony. Each colony produces a visible spot on the plate and this represents a single CFU. Counting the numbers of CFU gives an accurate estimate on the number of viable cells in the sample.

The plate count methodology for TYMC is standardized and widely accepted in a variety of industries including the food, cosmetic and pharmaceutical industries. The FDA has published guidelines that specify limits on total yeast and mold counts ranging from 10 to 100,000 CFU/g. In cannabis testing, a TYMC count of 10,000 is commonly used. TYMC is also approved by the AOAC for testing a variety of products, such as food and cosmetics, for yeast and mold. It is a fairly easy technique to perform requiring minimal training, and the overall cost tends to be relatively low. It can be utilized to differentiate between dead and live cells, since only viable living cells produce colonies.

Petri dish containing the fungus Aspergillus flavus.
Photo courtesy of USDA ARS & Peggy Greb.

There is a 24 to 48-hour incubation period associated with TYMC and this impedes speed of testing. Depending on the microbial levels in a sample, additional dilution of a cannabis sample being tested may be required in order to count the cells accurately. TYMC is not species-specific, allowing this method to cover a broad range of yeast and molds, including those that are not considered harmful. Studies conducted on cannabis products have identified several harmful species of yeast and mold, including Cryptococcus, Mucor, Aspergillus, Penicillium and Botrytis Cinerea. Non-pathogenic molds have also been shown to be a source of allergic hypersensitivity reactions.The ability of TYMC to detect only viable living cells from such a broad range of yeast and mold species may be considered an advantage in the newly emerging cannabis industry.

After California voted to legalize recreational marijuana, state regulatory agencies began exploring different cannabis testing methods to implement in order to ensure clean cannabis for the large influx of consumers.

Unlike Colorado, California is considering a different route and the recently released emergency regulations require testing for specific species of Aspergillus mold (A. fumigatus, A. flavus, A. niger and A. terreus). While Aspergillus can also be cultured and plated, it is difficult to differentiate morphological characteristics of each species on a plate and the risk of misidentification is high. Therefore, positive identification would require the use of DNA-based methods such as polymerase chain reaction testing, also known as PCR. PCR is a molecular biology technique that can detect species-specific strains of mold that are considered harmful through the amplification and analysis of DNA sequences present in cannabis. The standard PCR testing method can be divided into four steps:

The double stranded DNA in the cannabis sample is denatured by heat. This refers to splitting the double strand into single strands.
Primers, which are short single-stranded DNA sequences, are added to align with the corresponding section of the DNA. These primers can be directly or indirectly labeled with fluorescence.
DNA polymerase is introduced to extend the sequence, which results in two copies of the original double stranded DNA. DNA polymerases are enzymes that create DNA molecules by assembling nucleotides, the building blocks of DNA.
Once the double stranded DNA is created, the intensity of the resulting fluorescence signal can uncover the presence of specific species of harmful Aspergillus mold, such as fumigatus.

These steps can be repeated several times to amplify a very small amount of DNA in a sample. The primers will only bind to the corresponding sequence of DNA that matches that primer and this allows PCR to be very specific.

PCR testing is used in a wide variety of applications
Photo courtesy of USDA ARS & Peggy Greb.

PCR is a very sensitive and selective method with many applications. However, the instrumentation utilized can be very expensive, which would increase the overall cost of a compliance test. The high sensitivity of the method for the target DNA means that there are possibilities for a false positive. This has implications in the cannabis industry where samples that test positive for yeast and mold may need to go through a remediation process to kill the microbial impurities. These remediated samples may still fail a PCR-based microbial test due to the presence of the DNA. Another issue with the high selectivity of this method is that other species of potentially harmful yeast and mold would not even be detected. PCR is a technique that requires skill and training to perform and this, in turn, adds to the high overall cost of the test.

Both TYMC and PCR have associated advantages and disadvantages and it is important to take into account the cost, speed, selectivity, and sensitivity of each method. The differences between the two methodologies would lead to a large disparity in testing standards amongst labs in different states. In a nascent industry, it is prudent for state regulators to reference specific testing methodologies so that an industry standard can be established.

January 11, 2018

Sunrise Genetics Partners With RPC, Begins Genetic Testing in Canada

By Aaron G. Biros

No Comments

Sunrise Genetics, Inc., the parent company of Marigene and Hempgene, announced their partnership with New Brunswick Research & Productivity Council (RPC) this week, according to a press release. The company has been working in the United States for a few years now doing genomic sequencing and genetic research with headquarters based in Fort Collins, CO. This new partnership, compliant with Health Canada sample submission requirements, allows Canadian growers to submit plants for DNA extraction and genomic sequencing.

Sunrise Genetics researches different cannabis cultivars in the areas of target improvement of desired traits, accelerated breeding and expanding the knowledge base of cannabis genetics. One area they have been working on is genetic plant identification, which uses the plant’s DNA and modern genomics to create authentic, reproducible, commercial-ready strains.

Matt Gibbs, president of Sunrise Genetics, says he is very excited to get working on cannabis DNA testing in Canada. “RPC has a long track record of leadership in analytical services, especially as it relates to DNA and forensic work, giving Canadian growers their first real option to submit their plant samples for DNA extraction through proper legal channels,” says Gibbs. “The option to pursue genomic research on cannabis is now at Canadian cultivator’s fingertips.”

Canada’s massive new cannabis industry, which now has legal recreational and medical use, sales and cultivation, previously has not had many options for genetic testing. Using their genetic testing capabilities, they hope this partnership will better help Canadian cultivators easily apply genomic testing for improved plant development. “I’m looking forward to working with more Canadian cultivators and breeders; the opportunity to apply genomics to plant improvement is a win-win for customers seeking transparency about their Cannabis product and producers seeking customer retention through ‘best-in-class’ cannabis and protectable plant varieties,” says Gibbs. The partnership also ensures samples will follow the required submission process for analytical testing, but adding the service option of genetic testing so growers can find out more about their plants beyond the regular gamut of tests.

RPC is a New Brunswick provincial research organization (PRO), a research and technology organization (RTO) that offers R&D testing and technical services. With 130 scientists, engineers and technologists, RPC offers a wide variety of testing services, including air quality, analytical chemistry of cannabis, material testing and a large variety of pilot facilities for manufacturing research and development.

They have over 100 accreditations and certifications including an ISO 17025 scope from the Standards Council of Canada (SCC) and is ISO 9001:2008 certified. This genetic testing service for cannabis plants is the latest development in their repertoire of services. “This service builds on RPC’s established genetic strengths and complements the services we are currently offering the cannabis industry,” says Eric Cook, chief executive officer of RPC.