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3232Gene-G’s Choice for High-Throughput Plant Genotyping Technology
https://gene-g.com/the-most-suitable-technology-for-high-throughput-plant-genotyping/
https://gene-g.com/the-most-suitable-technology-for-high-throughput-plant-genotyping/#respondSun, 29 Sep 2024 10:38:05 +0000https://gene-g.com/?p=460 Over the past two decades, DNA genotyping technologies have been continuously improving. Projects once thought impossible, now succeed in achieving accurate genetic information in a remarkably short time frame. High-throughput technology refers to the rapid analysis of a large quantity of data points. However, while the total number of resulting data points may be […]
Over the past two decades, DNA genotyping technologies have been continuously improving. Projects once thought impossible, now succeed in achieving accurate genetic information in a remarkably short time frame.
High-throughput technology refers to the rapid analysis of a large quantity of data points. However, while the total number of resulting data points may be the same, genotyping a small number of samples for many genetic markers (hundreds or thousands) is an entirely different task compared to genotyping many samples (thousands) for a small number of markers.
There are several technologies and platforms suitable for genotyping for plant breeding and production quality purposes; each has its advantages and disadvantages. To select the most suitable technology, Gene-G has examined the available solutions against industry needs, addressing the challenge of identifying which technology best meets customer requirements.
There are two main methods for genotyping with Real-Time PCR:
Dual Probe TaqMan: real-time PCR reaction with two additional oligos (probes) marked with two different fluorophores. As the PCR amplification process continues, the fluorescence signal increases, allowing for the distinction between desired and undesired traits.
KASP (by LGC Ltd.): patented PCR-based genotyping method that is also fluorescence-based (like the TaqMan), but with a different chemistry. The fluorophores are in the assay mix already, and thus there is no need for the addition of specific fluorescent probes.
Between the two PCR technologies, the final cost per data point is the same, but the resource cost breakdown is different. In KASP, the mix is more expensive due to the cost of fluorophores, while in TaqMan, the probes are more expensive. This means that in marker development, while testing different SNPs and probes, TaqMan is more expensive than KASP, but in routine marker scans, there is no difference in cost per data-point.
KASP is only an end-point PCR, while TaqMan can also be conducted as real-time PCR. This feature raises the accuracy of the data obtained. This is critically important in seed quality assurance processes (variety and parental line purity) and in many other industries, such as medicine.
Real-time PCR technologies are better suited for genotyping projects of many samples on a small number of markers. To increase testing capacity, several automated platforms for real-time PCR are available, such as Fluidigm (by Standard BioTools) and Intelliqube (By Biosearch Technologies).
Hybridization Microarray: hundreds of thousands of probes are arrayed on a small chip, allowing for many SNPs to be genotyped simultaneously. This method is suitable for genotyping a small number of samples for many genetic markers. Because this method is very sensitive, clean DNA of high quality is required, which increases the cost. This method is a bit too expensive for common commercial companies in the industry and is therefore more commonly used in academia.
The aforementioned technologies rely on different sequence hybridization; however, when the alleles differ in amplicon length (such as InDels and SSRs), it is also possible to distinguish between them by length. Following a conventional PCR reaction, the PCR amplicons are separated by size using capillary electrophoresis. This technology can differentiate between multiple alleles within a population in a single assay. Unfortunately, it is difficult to upscale this method for projects with many samples across many markers.
Another technology differentiates between the alleles by their mass. When two alleles are the same length but have different masses, such as SNP, size separation is not possible, whereas mass separation is. This small difference can be distinguished according to the physical principle “Time of Flight”. The MassArray technology (by Agena Bioscience) can analyze up to 60 markers per sample across 384 samples in a single run, resulting in 23,040 data points.
This Agena technology is effective for genotyping thousands of samples on a medium number of markers.
After careful consideration, Gene-G has decided to implement two complementary technologies: TaqMan and MassArray.
TaqMan technology is better suited for marker assisted selection (MAS)
MassArray technology is most effective for ensuring genomic purity and uniformity among populations, particularly in variety production quality control
Both technologies – TaqMan and MassArray are essential for marker-assisted backcrossing (MABC)
If you are considering various technological alternatives for your marker operations, Gene-G provides consultancy services to help you make the right decision.
]]>https://gene-g.com/the-most-suitable-technology-for-high-throughput-plant-genotyping/feed/0A New Standard in Seed Genetic Purity Assurance
https://gene-g.com/a-new-standard-for-seeds-genetic-purity-assurance/
https://gene-g.com/a-new-standard-for-seeds-genetic-purity-assurance/#respondThu, 25 Jul 2024 09:39:41 +0000https://gene-g.com/?p=447In the journey from seed to salad, bread, or pasta sauce, each crop we consume starts with a critical step: the seed. Farmers around the world pay premium prices for seeds, expecting them to be robust, pure, and genetically reliable. Yet, the challenges of agriculture—unpredictable weather, pests, and diseases—can throw even the most carefully planned […]
In the journey from seed to salad, bread, or pasta sauce, each crop we consume starts with a critical step: the seed. Farmers around the world pay premium prices for seeds, expecting them to be robust, pure, and genetically reliable. Yet, the challenges of agriculture—unpredictable weather, pests, and diseases—can throw even the most carefully planned crops off track. One of the most pressing concerns growers face is ensuring the genetic purity of seeds, a factor essential for crop health, yield, and uniformity. However, until recently, a unified, reliable method for testing genetic purity has been missing. Gene-G Applied Genetics provides a possible solution: a DNA fingerprinting method based on Single-Nucleotide Polymorphisms (SNPs).
“Farmers and breeders invest substantial resources into seed quality, and the risk for severe loss due to genetic impurities is high,” says Dagan Mor, CEO at Gene-G. “While protocols exist for germination and health tests, there has been no universal standard for testing genetic purity—until now.”
The International Seed Testing Association (ISTA) offers rigorous guidelines for assessing germination, seed health, and physical properties. Surprisingly, genetic purity testing remains undefined in their standards, despite strict reporting requirements. To fill this gap, Gene-G’s new DNA fingerprint genotyping method creates a genetic “blueprint” for each seed variety, offering accuracy, efficiency, and cost-effectiveness that far exceed traditional methods.
How DNA fingerprinting ensures purity
Gene-G’s solution works by testing multiple polymorphic SNPs scattered throughout the genome of the seed. “Each SNP is like a unique identifier,” says Dagan. “Together, they form a DNA-based fingerprint, which we can use to assess each lot’s genetic purity.” This method has been successfully applied across various high-value crops, including tomatoes, peppers, cucumbers, melons, watermelons, squash, pumpkin, and more.
The advantages of DNA fingerprinting over previous methods are clear. Instead of lengthy and costly grow-out tests—where seeds are cultivated to observe genetic traits directly—DNA fingerprinting can quickly and accurately identify off-types and confirm true-type hybrids. “Each well in a single PCR reaction can hold dozens of SNPs, creating a highly specific genetic map. Not only is this efficient, but it reduces costs and the time needed for genetic purity assurance,” Dagan notes.
A new era for seed testing
Historically, seed purity testing relied on protein-based markers, such as isozymes, and more recently, DNA markers like AFLP, RFLP, and SSR. While valuable, these methods lack uniformity and precision, and no universal standard has emerged. “Every seed company has used its own approach,” Dagan continues, “so there’s no shared baseline, which leaves room for inconsistencies.”
Many seed companies still use grow-out tests, planting seeds to observe their phenotype and identify potential impurities. However, Dagan points out the limitations: “Growing the seeds takes an entire season, delaying production, and in many cases, genetic impurities remain hidden. Environmental factors like geography, climate, and pest exposure vary widely and influence results, meaning growers still face risks when relying solely on these tests.”
DNA fingerprinting removes these variables, providing growers and seed producers with a more stable, definitive picture of genetic purity, independent of outside conditions. This approach has rapidly gained popularity among breeding and seed production organizations, which recognize its ability to provide faster, more reliable data without a growing season’s wait.
Change in seed purity testing
Gene-G has been specializing in molecular genetic solutions since 2015, conducting genetic purity tests, SNP fingerprinting, and unique trait development projects for a wide array of crops. The team’s innovative approach attracted interest from crop-breeding organizations worldwide, who rely on Gene-G’s solutions to accelerate market entry. By developing tailor-made protocols and unique testing methods, Gene-G has introduced a range of novel, effective tools for genetic assessment.
“Since our founding, we’ve focused on practical, out-of-the-box solutions for the seed industry. Our approach leverages molecular genetics to meet the specific challenges of our clients,” Dagan explains. The team’s work includes not only genetic purity testing but also environmental microbiome monitoring, enhancing crop resilience against diverse environmental stressors.
With their new DNA fingerprint genotyping method, Gene-G offers a potential gold standard for genetic purity assurance in seeds, leading to more consistent quality across the global seed market. “We’re passionate about advancing seed quality,” Dagan concludes.
To learn more about Gene-G’s work and innovative seed purity solutions, reach out via email at [email protected].
]]>https://gene-g.com/a-new-standard-for-seeds-genetic-purity-assurance/feed/0How SNP Fingerprinting Can Support Early Diagnoses
https://gene-g.com/how-snp-fingerprinting-can-sup/
https://gene-g.com/how-snp-fingerprinting-can-sup/#respondTue, 23 Jul 2024 08:18:01 +0000https://gene-g.com/?p=442Introduction In an exciting collaboration between MIGAL-Northern R&D and Gene-G Applied Genetics, a new solution has been developed to support mango breeding. This project focused on utilizing genetic fingerprinting to analyze a wide array of mango varieties, aiming to genetically identify offspring from specific cross-pollination pairings. The Rising Importance of Mango Breeding As the fifth […]
In an exciting collaboration between MIGAL-Northern R&D and Gene-G Applied Genetics, a new solution has been developed to support mango breeding. This project focused on utilizing genetic fingerprinting to analyze a wide array of mango varieties, aiming to genetically identify offspring from specific cross-pollination pairings.
The Rising Importance of Mango Breeding
As the fifth largest among fruit tree crops globally, the mango has seen its production doubled in the past two decades. Despite this growth, the market is still dominated by two varieties: Kent and Keitt. This monoculture presents risks and underscores the urgent need for developing new varieties with improved yield, superior fruit quality, enhanced disease resistance, and greater adaptability to diverse environmental conditions.
Driving Innovation in Mango Breeding
Since 2022, Dr. Navot Galpaz is directing efforts towards overcoming these challenges and has been leading Israeli Mango growers in the MIGAL-Northern R&D breeding program. Northern R&D, a division within the esteemed MIGAL Research Institute, plays a crucial role as the primary agricultural research and development entity in northern Israel.
A Fruitful Collaboration Towards Advanced Mango Breeding
The collaboration between Dr. Navot Galpaz of Northern R&D and Dagan Mor from Gene-G Applied Genetics company, is not just a professional alliance but a reunion of two long-time colleagues. Their journey began during their undergraduate studies and has seen several productive intersections over the years. When Dr. Galpaz sought advanced genetic tools to accelerate the development of superior mango varieties, it was natural for him to turn to Dagan for his expertise. Their goal was clear: to validate the success of deliberate pollination, in addition to enabling early detection and elimination of seedlings with undesirable traits during the nursery phase.
Innovative Approach in Gene-G
Gene-G specializes in innovative applied genetics solutions. Their successful experience in almonds, grapes, and castor, along other plants, offered a solid foundation towards a solution for this particular challenge in mango breeding.
The Gene-G team meticulously selected the most polymorphic SNPs and screened the relevant offspring to eventually design a custom Mango SNP fingerprint genotyping multiplex, providing Dr. Galpaz with the tools to accurately assess the success rate of each cross-hybridization.
Conclusion: A New Supporting Tool for Northern R&D’s Mango Breeding Program
This scientific endeavor concluded with an innovative solution for the challenge at hand. The breeding program can be significantly more efficient by using genomic information.