Genetic Map Construction of Tissue Culture Plants
A genetic map, also known as a genetic linkage map, is a map constructed with the values of linkage and recombination exchanges between genes or genetic markers. Lifeasible obtains a large amount of single nucleotide polymorphism (SNP) information for all individuals in a family line through whole genome resequencing (or simplified genome sequencing). Based on the theory of gene linkage and recombination, we can calculate the relative positions of genes on the same chromosome, and finally draw the genetic linkage map of a specific tissue culture plant. At the same time, we can provide data support for subsequent QTL trait localization, comparative genomes, and assisted genome assembly.
What is Genetic Map?
A genetic map is a linear map of the order and relative distance of molecular markers on chromosomes. The construction of high-density genetic maps based on resequencing is becoming a favored technique for researchers. It has the advantage that a large number of molecular markers can be developed relatively quickly, and a genetic map can be obtained, overcoming the disadvantage of not providing accurate information on the number and seating of QTLs based on low-throughput molecular markers with low cryptic density.
Figure 1. High-density genetic map of cucumber. (Xu X., et al, 2015)
In plant genetics research, genetic mapping helps reveal genes' relative positions on chromosomes and genetic linkages. Tissue culture plant genetic maps are widely used in genome research, variety improvement, and gene localization. They provide an important tool for understanding the genome structure and genetic characteristics of specific tissue culture plants and guide researchers to gain insight into the genetic basis of plant traits and for molecular breeding.
What We Offer
Information analysis content
- Downstream data statistics
- Data quality control
- High-quality data acquisition
- Reference genome organization
- Sequence alignment
- Overview of sequence alignment results
- SNP detection
- SNP statistics
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- SNP annotation
- SNP typing and screening
- Genetic linkage mapping
- Haplotype origin assessment
- Recombination hotspot assessment
- Genetic distance and physical distance correlation analysis
- QTL localization
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General technical routes
Advantages
- Personalized research protocols and specialized bioinformatics analysis based on research objectives.
- Professional experimental team to provide highly accurate sequencing data.
- Experienced project team with in-depth analysis of difficult problems.
Sample Requirements
| Sample type |
Sample concentration |
Total sample volume |
Second-generation sequencing depth |
| DNA |
≥20 ng/μL |
≥2 μg |
≥20 ×/sample (parent)
≥10 ×/sample (offspring) |
| Plant tissue |
- |
≥2 g |
FAQs
How to select parents?
The selection of parents directly affects the difficulty of constructing the map and the scope of application of the constructed map, and needs to meet the following requirements:
- DNA polymorphism between parents.
- Consider the fertility of the progeny to prevent partial segregation.
- Select parental materials with high purity as much as possible (except F 1 generation).
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What are the criteria for determining mapping quality?
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The main criteria for determining the quality of mapping are the statistics of the upper mapping index, the analysis of the covariance of the physical map of the genetic map, and the analysis of the heat map of recombination of neighboring markers. |
Please feel free to contact us for more information about the genetic map construction of tissue culture plants.
Reference
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Xu X., et al. (2015). “A high-density genetic map of cucumber derived from Specific Length Amplified Fragment sequencing (SLAF-seq). " Frontiers in Plant Science 5:768.
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