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Insect genetical population simulating method based on natrual reproduction process

A simulation method and genetic population technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as unclear biological meaning, inability to use selected populations, random processes and difficult natural reproductive processes, etc., to achieve Easy to implement and improve efficiency

Inactive Publication Date: 2011-09-14
HUBEI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In human genetic research, some people have used genetic population simulation methods based on stochastic processes, but the stochastic processes in these methods are difficult to completely simulate the natural reproductive process of biology, the biological significance is not clear, and they cannot be used for selection under transgenic conditions. groups, so it is difficult to be used in the research of insects (references see Terwilliger J, Speer M and J Ott, Genetic Epidemiology, 1993, 10: 217-224)
Simulation methods for insect genetic populations based on natural reproductive processes have not been established in insects

Method used

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  • Insect genetical population simulating method based on natrual reproduction process
  • Insect genetical population simulating method based on natrual reproduction process
  • Insect genetical population simulating method based on natrual reproduction process

Examples

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Embodiment 1

[0024] Example 1: Taking the genetic analysis of the resistance gene of Chilo suppressalis to Bt insecticide as an example. Let the resistance gene be R bt , The corresponding recessive gene is r bt . Here only the chromosome Chrl carrying the resistance gene needs to be considered, and the other chromosomes are not considered. After the parents are selected, the marker data of the parents are obtained through molecular biology methods (M 1 0, M 2 2, M 3 67, M 4 70, M 5 141, M 6 160) and (m 1 0, m 2 2, m 3 67, m 4 70, m 5 141, m 6 160), where M 1 , M 2 ,..., M 6 And m 1 , M 2 ,..., m 6 Respectively represent the 6 molecular markers on the chromosome Chrl of the maternal and paternal chromosomes, 0, 2, ..., 160 indicate the position of each marker on the chromosome, expressed by cumulative genetic distance, and the unit of distance is centimole (cM) . The actual backcross population contains 100 individuals. Follow the steps below to simulate:

[0025] (1) Expre...

Embodiment 2

[0031] Example 2: Take genetic analysis of Drosophila F2 population as an example. Drosophila has 4 pairs of chromosomes, one of which is a sex chromosome and 3 pairs are autosomes. Assuming that we need to locate autosomal genes in the whole genome, we need to simulate F2 populations with different numbers of individuals. After the parents are selected, the marker data of the parents are obtained by molecular biology methods. Here are five molecular markers (M 1 0, M 2 11, M 3 101, M 4 111, M 5 118) and (m 1 0, m 2 11, m 3 101, m 4 111, m 5 118). Follow the steps below to simulate:

[0032] (1) Express the original sample sequence of the Drosophila parent molecular marker as a digital array X consisting of 1 and 0 (i) ={X (i) (1) , X (i) (2) , X (i) (3) }, where i = 1 represents the female parent, i = 2 represents the male parent, X (i) (1) , X (i) (2) , X (i) (3) Represents the molecular marker vectors on chromosomes 1, 2, and 3 respectively, and 5 markers are simula...

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Abstract

The invention provides a new insect genetical population simulating method based on natural reproduction process. In the method, a primary sample sequence marked by an insect parent molecule is utilized as the genetic composition of a parent, number vectors consisting of 1 and 0 are used for representing the genetic markers of chromosomes and gametes, and the genetic distance between the genetic markers is converted into recombination frequency by a mapping function. When F1 half-bred by two parents generates a gamete, the exchange process of reduction division is simulated by simple samplings which are uniformly and randomly distributed; and individual inspect is simulated by repeated gamete sampling and zygote forming, so that a genetic group is formed. The method can be used for the exploration and the evaluation on an insect gene mapping method, and the dynamic change of the insect resistance genes in generations can be researched through the genetic markers, without years of multipoint practical field tests, so that the efficiency of genetic research is improved greatly. The new insect genetical population simulating method is applied to crop production and pest prevention management and has very good positive results.

Description

Technical field [0001] The present invention relates to a method for simulating the genetic population of diploid insects, in particular to a new method for simulating the genetic population of insects based on the natural reproduction process. Background technique [0002] Insects are the largest group in the animal kingdom and have a close interest in humans. The number prediction of insects and the management in accordance with economic and ecological laws have been listed as key research topics at home and abroad. Population dynamics simulation is an important basic work in pest management. For a long time, theoretical and experimental studies on insect population dynamics models have mainly focused on the changes in the number of individuals in the population, and there are few studies on their genetic structure. [0003] Computer-based simulation has always been an important method in the analysis of insect population dynamics. People use simulation models to deepen their ...

Claims

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Application Information

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IPC IPC(8): G06F19/20
Inventor 陈建国马伟华
Owner HUBEI UNIV
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