Single Nucleotide Polymorphism (SNP) Markers

Single Nucleotide Polymorphisms (SNPs) are single-base pair variations in the DNA sequence that occur at a specific location in the genome. These variations act as unique genetic markers, providing valuable information about the identity and relationships of individuals, populations, and species. Our SNP marker services utilize advanced molecular techniques and bioinformatics to analyze these variations, enabling us to address a wide range of ecological and conservation challenges.

• High Accuracy: SNPs offer a high level of accuracy in species identification, even for closely related or morphologically similar species.
• Wide Applicability: SNP analysis can be applied to a broad range of organisms, including plants, animals, fungi, and bacteria.
• Cost-effectiveness: Advances in technology have made SNP genotyping increasingly affordable, making it a viable option for large-scale biodiversity studies.
• High Throughput: Our state-of-the-art laboratory facilities and automated workflows enable us to process large numbers of samples efficiently.

SNP markers can be classified based on various criteria:

• Location: SNPs can occur in coding or non-coding regions of the genome.
• Function: SNPs can be synonymous (not affecting protein sequence) or non-synonymous (altering protein sequence).
• Frequency: SNPs can be common (occurring in a significant proportion of the population) or rare (occurring in a small fraction of the population).

• Supporting conservation efforts: Providing valuable data for the conservation of endangered and threatened species.
• Facilitating sustainable resource management: Enabling informed decision-making for the management of natural resources.
• Monitoring ecosystem health: Detecting environmental changes and assessing the impacts of pollution and climate change.

• Custom Marker Development: Tailored microsatellite markers with high specificity and sensitivity.
• Genetic Diversity Analysis: Assess variability within and between populations to support conservation and breeding.
• Population Genetic Structure Assessment: Evaluate population structure to understand species distribution and migration.
• Parentage and Kinship Analysis: Determine individual relationships for breeding and conservation.
• Genetic Purity Assessment: Verify the integrity of biological materials.
• High-Throughput Genotyping: Efficient, accurate processing of large sample sizes.
• Data Analysis and Reporting: Deliver clear, actionable insights from microsatellite data.