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Plant Genetic Evolution Service

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INTRODUCTIONS

Plant Genetic Evolution Service

The study of population evolution based on whole-genome resequencing can effectively dig out the genetic variation within the population, which can be used to trace the evolution process of the population and dig out evolutionary genes. It has been widely used in many species' artificial domestication mechanism research, natural selection mechanism analysis and population history research. It has important scientific theory and practical application value. It refers to the use of whole-genome resequencing technology to obtain the genome information of each subgroup of a natural population of a species. Through comparison with the reference genome, a large number of highly accurate SNP, InDel, SV, CNV and other mutation information are obtained, and then based on the population Variation information, discuss biological issues such as the genetic structure of the population, gene exchanges, speciation mechanism, and population evolution dynamics, so as to in-depth study of the evolutionary process of the species from the Molecular level.

SERVICES

With years of rich experience, Lifeasible provides plant genetic evolution service. We provide a one-stop service model. We complete a series of processes from sample extraction, quality testing, sequencing, biological information analysis to making reports.

Workflow of plant genetic evolution service

Workflow of plant genetic evolution service

Analysis content

  • Mutation detection

Accurately locate mutation sites such as SNP, Indel, CNV, etc. (Tree, PCA, Structure)

  • Group structure analysis

Construct a phylogenetic tree, analyze the genetic structure, and determine the evolutionary relationship between samples

  • Genetic diversity analysis

Estimation of the θπ, θw polymorphism parameters of the population

  • Selective elimination analysis

The selective elimination in the evolution of different populations reveals the key genes related to selection

  • Gene function annotation and enrichment analysis

Calculate the distribution of candidate genes and find functional genes related to traits

  • Population history analysis

Discuss the history of differentiation between the sample clans

  • Gene exchange analysis

Provide ideas for studying migration events in the process of population evolution

Group size

  • Usually three subgroups/subspecies or more are required, and each subgroup selects about 10 samples (recommended animals≥10, plants≥15, rare species can appropriately reduce individuals), the overall recommendation is not less than 30 samples.

Project cycle

  • The entire project generally takes about 2 months. The specific completion time depends on the specific scale of the project (number of samples and number of phenotype types).

Feedback to customers

  • Raw data
  • A project report includes experimental process, instrument parameters, analysis methods and results, etc.

Service process

Service process

ADVANTAGES

  • From material selection, library construction and sequencing, to data analysis, every step has a scientific and meticulous design to ensure high-quality research results.
  • Lifeasible has a high-performance computing platform (HPC) that uses an efficient combination of DELL computing nodes and Isilon storage to achieve fast and stable sequencing data analysis and delivery.
  • Personalized customized package service.

※ For research or industrial use.

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