CN112042595A - Method and system for automatically designing breeding scheme of mice based on Mendelian genetic law - Google Patents

Method and system for automatically designing breeding scheme of mice based on Mendelian genetic law Download PDF

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CN112042595A
CN112042595A CN202010976062.1A CN202010976062A CN112042595A CN 112042595 A CN112042595 A CN 112042595A CN 202010976062 A CN202010976062 A CN 202010976062A CN 112042595 A CN112042595 A CN 112042595A
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罗天同
王梦阳
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Gempharmatech Co ltd
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Abstract

The invention provides a method and a system for automatically designing a mouse breeding scheme based on Mendel's genetic law, wherein the method comprises the following steps: constructing a breeding scheme model, wherein the breeding scheme model comprises item types, the number of genes contained in each breeding route, an identification mode, mouse strain backgrounds and background mouse ages; inputting project information and initial and target mouse information to generate at least one feasible breeding scheme, wherein the breeding scheme at least comprises a breeding route and required cost; and selecting and determining a breeding scheme. The mouse breeding scheme design process based on the Mendel genetic law, logic immobilization and standardization can be realized according to certain logic sequencing, result errors caused by designer errors can be avoided, and an optimal scheme is derived. The automatic design greatly improves the efficiency of the design of the breeding scheme and can save a large amount of labor cost.

Description

Method and system for automatically designing breeding scheme of mice based on Mendelian genetic law
Technical Field
The invention relates to the technical field of biological information, in particular to a method and a system for automatically designing a mouse breeding scheme based on Mendel's genetic law.
Background
Mendelian's law of inheritance includes two basic laws of genetics-the law of separation and the law of free combination, collectively known as the Mendelian's law of inheritance.
Law of separation: in the somatic cells of organisms, genetic factors controlling the same character exist in pairs and are not fused; when gametes are formed, paired genetic factors are separated, the separated genetic factors enter different gametes respectively, and the phenomenon of inheritance of the gametes to offspring is called Mendelian's law of separation.
The rule of free combination is one of three basic laws of modern biological genetics. When parents with two (or more) pairs of relative traits are crossed, genes on non-homologous chromosomes appear to freely combine while alleles segregate when the offspring generates gametes. The essence is that the alleles are freely combined, i.e., the separation or combination of alleles on one pair of chromosomes from alleles on another pair of chromosomes is non-interfering with each other and each independently partitions into gametes. And is therefore also referred to as an independent distribution law.
The basis of the current mouse breeding scheme is mainly Mendelian genetic law, a scientist with many years of experience needs to perform purely manual analysis operation, record all possible results and manually arrange and combine the results, further analyze and compare each scheme, finally screen out a better scheme, and the method consumes much time and energy, but the accuracy cannot be guaranteed. Moreover, even though the results of different expert thinking modes and experiences are similar, the design schemes may have slight differences, which may cause the situation that the optimal design schemes obtained by screening of different experts in different periods or different experts are inconsistent. Therefore, the traditional mouse breeding scheme needs experienced experts to complete, the design scheme selection cannot be rapidly realized, and the traditional method for artificially designing the scheme has high error rate and low efficiency.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides the method and the system for automatically designing the mouse breeding scheme based on the Mendel genetic law, so that the design of the mouse breeding scheme based on the Mendel genetic law is time-saving and labor-saving, the error rate is low, and the efficiency is improved.
Based on this, the present invention provides a method for automatically designing a breeding scheme of mice based on Mendelian's law of inheritance, comprising the steps of,
constructing a breeding scheme model, wherein the breeding scheme model comprises item types, the number of genes contained in each breeding route, an identification mode, mouse strain backgrounds and background mouse ages;
inputting project information and initial and target mouse information to generate at least one feasible breeding scheme, wherein the breeding scheme at least comprises a breeding route and required cost;
and selecting and determining a breeding scheme.
Further, the item types comprise at least one of natural breeding, IVF, biological purification and sperm freezing.
Further, the identification means includes ordinary PCR, sequencing, nested PCR, QPCR or TA cloning.
Further, the project information includes gene name, project responsible person, mouse strain source, strain number, strain name and strain type.
Further, the information of the starting and target mice includes genotypes of the starting and target mice and the number of each genotype, and in case the item type selects sperm freezing or biological purification, the information of the starting and target mice correspondingly includes the genotypes of the frozen mice or the biological purification type.
Further, the generation of the breeding route is specifically that the number and the genotype of the parent mice of the breeding route are obtained by reverse deduction according to the number and the genotype of the target mice, then the parent mice are used as offspring mice, and the number and the genotype of the next previous generation of parent mice are judged until the number and the genotype of the parent mice of a certain generation accord with the number and the genotype of the initial mice; the breeding quantity is calculated according to the following rules: if natural breeding is selected, each male mouse can mate with two female mice, and each female mouse can grow four animals per month; if IVF is selected, each male mouse can be fertilized with 20 female mice by artificial insemination; each female mouse can continuously conceive for two months and live.
Furthermore, if the parent mice that meet the starting mouse number and genotype are not obtained after the number of generations of the back-stepping exceeds the threshold, the breeding route is abandoned.
Generally, the method also comprises the step of sequencing all breeding schemes according to breeding periods or required fees after the breeding schemes are generated, wherein the breeding periods are the time required for completing breeding according to breeding routes.
In a second aspect of the present invention, there is provided a system for automatically designing a breeding scheme of a mouse based on Mendelian's law of inheritance, the system comprising:
the information acquisition unit is used for acquiring relevant information of mouse breeding, including project types, the number of genes contained in each breeding route, identification modes, mouse strain backgrounds, background mouse ages, project information and initial and target mouse information;
the breeding scheme generating unit is used for calculating possible breeding routes according to the mouse breeding related information acquired by the information acquiring unit and generating a breeding scheme by combining the cost required by each breeding route;
the breeding scheme storage unit is used for storing the breeding scheme selected by the user in a document form and can be a local storage medium or a cloud server.
Furthermore, the system also comprises a breeding scheme sorting and screening unit which is used for sorting or screening all the generated breeding schemes according to the keywords selected by the user.
Compared with the prior art, the invention has the following beneficial effects: the mouse breeding scheme design method based on the Mendel genetic law is characterized in that the design process and logic of the mouse breeding scheme are fixed and standardized, and the mouse breeding scheme can be ordered according to certain logic, so that the result error caused by the error of designers can be avoided, and the optimal scheme can be derived. The automatic design greatly improves the efficiency of the design of the breeding scheme and can save a large amount of labor cost.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a method for automatically designing a breeding scheme for mice according to an embodiment of the present invention;
FIG. 2 is a diagram showing information required for designing a breeding scheme for a mouse in the example of FIG. 1;
FIG. 3 is a flow chart of a method for generating a breeding route of a mouse;
FIG. 4 is a schematic block diagram of a mouse breeding scheme design system according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
This example provides a method for automatically designing breeding scheme of mice based on Mendelian's law of inheritance, as shown in FIG. 1, comprising the following steps,
s1, constructing a breeding scheme model, wherein the breeding scheme model comprises item types, the number of genes contained in each breeding route, an identification mode, mouse strain background and background mouse age.
The above information is necessary for designing a breeding scheme for mice, but is not limited thereto. Those skilled in the art will appreciate that other information that may be used may also be a component of the model.
The project types generally include, among others, natural breeding, IVF, biological decontamination, sperm freezing, and any combination of the foregoing.
The number of genes contained in the breeding route is usually 1-2.
The identification mode comprises common PCR, sequencing, nested PCR, QPCR, TA cloning and the like.
Mouse strain backgrounds include B6J, B6N, BALB/C, NOD, and the like.
In this embodiment, the information and the optional values are stored as a model of the breeding scheme. When designing a breeding scheme, an operator selects corresponding information on an interface, and the selected information and values are called from the model in the computer. For example, the operator selects "natural breeding + biological cleaning", gene number selection "2", identification mode selection "general PCR", mouse strain background selection "B6J", and background mouse age selection "12 months" in the column of the item type in the interface, and the generation of the subsequent breeding route is performed according to the conditions.
And S2, inputting project information and initial and target mouse information, and generating at least one feasible breeding scheme, wherein the breeding scheme at least comprises a breeding route and required cost.
In some embodiments, the project information includes information such as gene name, project principal, mouse strain source, strain number, strain name, and strain type.
Typically, the starting and destination mouse information includes the genotype and number of each genotype of the starting and destination mice, and in the case where sperm freezing or biopurification is selected for the project type, the genotype of the frozen mice or biopurification type is also included accordingly, and the genotype of the mice typically includes homozygous, heterozygous, wild-type, positive, negative.
With the above project information and the initial and target mouse information, the breeding scheme of the mouse can be automatically designed by a computer by combining the project type selected in the previous step, the number of genes contained in each breeding route, the identification mode, the mouse strain background and the background mouse age. After the operator inputs the information on the operation interface, the operator clicks the generation button to automatically generate the breeding scheme and display the breeding scheme on the interface. At least one breeding program is typically generated based on the selected conditions and the inputted mouse information, as shown in FIG. 2. The breeding scheme at least comprises a breeding route and required cost. The user can judge the quality of the breeding scheme by comparing the period and the cost of the breeding route.
When the number of the generated breeding schemes is large, the operator can sort all the breeding schemes according to the breeding period or the required cost, wherein the breeding period is the time required for completing the breeding according to the breeding route.
The cost in the breeding period is composed of the required background mouse cost, cage position cost and identification cost. Wherein the cost of the background mice is determined by the strain background and the week age of the background mice. The cost of the cage position is determined by the number of the used cages, two female mice can be placed in each breeding cage, and 5 offspring mice can be placed in the production cage position. The identification cost is determined by the identification mode and the number of offspring mice to be identified. The cost of the whole breeding scheme also needs to add IVF operation cost, biological purification cost, sperm freezing cost and the like according to actual conditions.
The basis of the core logic and algorithm of the present invention is the Mendelian law of inheritance. Mendelian's law of inheritance is embodied in this example as the calculation of the genotype and proportion (or number) of the offspring mice based on the genotype and number of the parent mice, or the calculation of all possible combinations of the parental genotypes and numbers based on the genotype and number of the offspring mice:
1. in the case where the gene of interest is a single gene: when the parental mice are homozygotes, 100 percent of the offspring mice are homozygotes; when the parental mice are all wild type, 100% of the offspring mice are homozygotes; when the parent mouse is homozygote and wild type, 100% of the offspring mice are heterozygote; when the parent mouse is homozygote and heterozygote, 50% of the offspring mice are homozygote and 50% are heterozygote; when the parental mice are all heterozygotes, 50 percent of the filial mice are heterozygotes, 25 percent of the filial mice are homozygotes, and 25 percent of the filial mice are wild type; when the parent mouse is heterozygote and wild type, 50% of the offspring mice are heterozygote, and 50% are wild type; when the parent mouse is positive and negative, 50 percent of the offspring mice are positive and 50 percent are negative; when the parental mice are all negative, the offspring mice are 100% negative. The details are shown in Table 1.
TABLE 1
Figure BDA0002685841980000051
2. In the case where the gene of interest is a double gene and the amphipathic mouse genotype is the same, let two genes be X and Y: when the parent mice are homozygous X and Y, the offspring mice are homozygous X and Y; when the parent mouse is X homozygous Y heterozygous, 50% of the filial mouse is X homozygous Y heterozygous, 25% of the filial mouse is X homozygous Y homozygous, and 25% of the filial mouse is X homozygous Y wild; when the parent mice are X homozygous Y wild, the offspring mice are all X homozygous Y wild; when the parent mouse is X heterozygous Y heterozygous, the filial mouse is 25% X heterozygous Y heterozygous, 12.5% X heterozygous Y homozygous, 12.5% X heterozygous Y wild, 6.25% X homozygous Y homozygous, 6.25% X homozygous Y wild, 12.5% X homozygous Y heterozygous, 6.25% X wild Y homozygous, 6.25% X wild Y wild, 12.5% X wild Y heterozygous; when the parent mouse is X heterozygous Y wild, the offspring mice have 50% X heterozygous Y wild and 50% X wild Y wild. (the positions of X and Y genes are interchanged, the number of the obtained offspring genotypes is not changed, and the positions of X and Y are also interchanged). The details are shown in Table 2.
TABLE 2
Figure BDA0002685841980000061
3. In the case where the gene of interest is a double gene and the amphipathic mouse genotype is the same, let two genes be X and Y: when the parent mouse is X homozygous Y homozygous and the X homozygous Y heterozygous, 50 percent of the offspring mice are X homozygous Y homozygous and 50 percent of the offspring mice are X homozygous Y heterozygous; when the parent mouse is X homozygous Y homozygous and the X homozygous Y wild, 100% of the filial mouse is X homozygous Y heterozygous; when the parent mouse is X homozygous Y homozygous and X heterozygous Y wild, the filial mouse has 50% X homozygous Y heterozygous and 50% X heterozygous Y heterozygous; when the parent mouse is homozygous Y for X and heterozygous Y for X, the filial mouse has heterozygous Y for X25%, homozygous Y for X25%; when the parent mouse is homozygous Y for X and heterozygous Y for X, the filial mouse has homozygous Y for X50% and heterozygous Y for X50%; when the parent mouse is homozygous Y for X and the wild Y for X is homozygous, 100% of the filial mouse is homozygous Y for X; when the parent mouse is homozygous X and wild Y, the filial mouse has 50% homozygous X and 50% heterozygous Y; when the parent mouse is homozygous Y for X and wild Y for X, 100% of the filial mouse is heterozygous Y for X; when the parent mouse is X homozygous Y heterozygous and the X homozygous Y wild, 50% of the filial mouse is X homozygous Y heterozygous, and 50% of the filial mouse is X homozygous Y wild; when the parent mouse is X homozygous Y heterozygous and X heterozygous Y heterozygous, the progeny mouse has 25% X heterozygous Y heterozygous, 25% X homozygous Y heterozygous, 12.5% X heterozygous Y homozygous, 12.5% X heterozygous Y wild, 12.5% X homozygous Y homozygous wild; when the parent mouse is X homozygous Y heterozygous and X heterozygous Y homozygous, the filial mouse has 25% X homozygous Y heterozygous, 25% X homozygous Y homozygous, 25% X heterozygous Y heterozygous, 25% X heterozygous Y homozygous; when the parent mouse is X homozygous Y heterozygous and X heterozygous Y wild, the filial mouse has 25% X homozygous Y heterozygous, 25% X homozygous Y wild, 25% X heterozygous Y heterozygous, and 25% X heterozygous Y wild; when the parent mouse is X homozygous Y heterozygous and the X wild Y pure, the filial mouse has 50% X heterozygous Y heterozygous and 50% X heterozygous Y homozygous; when the parent mouse is X homozygous Y heterozygous and X wild Y heterozygous, 50% of the filial mouse is X heterozygous Y heterozygous, 25% of the filial mouse is X heterozygous Y homozygous, and 25% of the filial mouse is X heterozygous Y wild; when the parent mouse is X homozygous Y heterozygous and X wild Y wild, the filial mouse has 50% X heterozygous Y heterozygous and 50% X heterozygous Y wild; when the parent mouse is X homozygous Y wild and X heterozygous Y heterozygous, the filial mouse has 25% X homozygous Y heterozygous, 25% X homozygous Y wild, 25% X heterozygous Y heterozygous, and 25% X heterozygous Y wild; when the parent mouse is X homozygous Y wild and X heterozygous Y pure, the filial mouse has 50% X homozygous Y heterozygous and 50% X heterozygous Y heterozygous; when the parent mouse is X homozygous Y wild and X heterozygous Y wild, 50% of the filial mouse is X heterozygous Y wild, and 50% of the filial mouse is X homozygous Y wild; when the parent mouse is X homozygous Y wild and X wild Y pure, 100% of the filial mouse is X heterozygous Y heterozygous; when the parent mouse is X homozygous Y wild and X wild Y heterozygous, 50% of the filial mouse is X heterozygous Y heterozygous, and 50% of the filial mouse is X heterozygous Y wild; when the parent mouse is X homozygous Y wild and X wild Y wild, 100% of the filial mouse is X heterozygous Y wild; when the parent mouse is X heterozygous Y heterozygous and X heterozygous Y pure, the filial mouse has 25% X heterozygous Y heterozygous, 25% X heterozygous Y homozygous, 12.5% X homozygous Y heterozygous, 12.5% X wild Y heterozygous, 12.5% X homozygous Y homozygous, 12.5% X wild Y homozygous; when the parent mouse is heterozygous X heterozygous Y and wild X heterozygous Y, the filial mouse has 25% heterozygous X Y, 25% heterozygous X wild Y, 12.5% homozygous X heterozygous Y, 12.5% wild Y heterozygous X, 12.5% homozygous X wild Y, 12.5% wild Y and 12.5% wild Y; when the parent mouse is heterozygous for X heterozygous Y and pure X wild Y, 25% of the filial mouse is heterozygous for X heterozygous Y, 25% is homozygous for X heterozygous Y, 25% is heterozygous for X wild Y, and 25% is homozygous for X wild Y; when the parent mouse is heterozygous X and heterozygous Y and wild X and Y, the filial mouse has 25% heterozygous X and heterozygous Y, 25% heterozygous X and wild Y, 12.5% homozygous X and heterozygous Y, 12.5% homozygous X and wild Y, 12.5% wild X and heterozygous Y, and 12.5% wild X and wild Y; when the parent mouse is heterozygous for X heterozygous Y and wild Y is wild, 25% of the filial mice are heterozygous for X heterozygous Y, 25% are heterozygous for X wild Y and 25% are wild for X wild Y; when the parent mouse is X heterozygous Y homozygous and X heterozygous Y wild, the filial mouse has 50% X heterozygous Y heterozygous, 25% X homozygous Y heterozygous and 25% X wild Y heterozygous; when the parent mouse is homozygous for X heterozygous Y and pure for X wild Y, the filial mouse has 50% homozygous for X heterozygous Y and 50% homozygous for X wild Y; when the parent mouse is X heterozygous Y homozygous and X wild Y heterozygous, the filial mouse has 25% X heterozygous Y heterozygous, 25% X wild Y heterozygous, 25% X heterozygous Y homozygous, 25% X wild Y homozygous; when the parent mouse is homozygous for X heterozygous Y and wild Y is wild, the filial mouse has 50% heterozygous for X heterozygous Y and 50% heterozygous for X wild Y; when the parent mouse is X heterozygous Y wild and X wild Y pure, the filial mouse is 50% X heterozygous Y heterozygous and 50% X wild Y heterozygous; when the parent mouse is X heterozygous Y wild and X wild Y heterozygous, the filial mouse is 25% X heterozygous Y heterozygous, 25% X wild Y heterozygous, and 25% X wild Y wild; when the parent mouse is X heterozygous Y wild and X wild Y wild, 50% of the filial mouse is X heterozygous Y wild and 50% is X wild Y wild; when the parent mouse is homozygous for X wild Y and heterozygous for X wild Y, 50% of the filial mouse is heterozygous for X wild Y and 50% is homozygous for X wild Y; when the parental mouse is homozygous X wild Y and wild X Y, 100% of the filial mouse is heterozygous X wild Y; when the parent mouse is heterozygous for X wild Y and the X wild Y is wild, 50% of the filial generation mice are heterozygous for X wild Y and 50% are wild for X wild Y. See table 3 for details.
TABLE 3
Figure BDA0002685841980000081
Figure BDA0002685841980000091
The automatic generation of the breeding route is an important step of the invention, and particularly as shown in fig. 3, the number and the genotype of the parent mice of the breeding route are obtained by reverse-deducing the number and the genotype of the target mice, and then the parent mice are used as the offspring mice to judge the number and the genotype of the next generation of parent mice until the number and the genotype of the parent mice of a certain generation accord with the number and the genotype of the initial mice; the breeding quantity is calculated according to the following rules: if natural breeding is selected, each male mouse can mate with two female mice, and each female mouse can grow four animals per month; if IVF is selected, each male mouse can be fertilized with 20 female mice by artificial insemination; each female mouse can continuously conceive for two months and live.
Furthermore, if the parent mice that meet the starting mouse number and genotype are not obtained after the number of generations of the back-stepping exceeds the threshold, the breeding route is abandoned. The threshold for the number of recursions is optionally set to 5.
The mouse breeding route is automatically generated by using computer software, a large amount of manpower is saved, only some key information needs to be recorded into a computer and stored in the early stage to form a model in S1, and the key information can be called at any time when the breeding route is generated. The information types and data can be adjusted according to experience in the later stage, the software function is optimized, the generated route and scheme are more intelligent, the accuracy rate is also improved, and personnel with insufficient experience can obtain all possible breeding schemes by simply operating on a computer interface.
And S3, selecting and determining a breeding scheme.
Automatically generated breeding schemes may not all be ideal and need to be picked again. The operator can sort all breeding schemes according to the breeding period or the required cost, and select a better scheme according to the requirement.
After the breeding scheme is determined, the breeding scheme can be exported from a software system in the form of word, PDF, pictures and the like and stored in a medium. The media include the following: an electrical connection (electronic device) having one or more wires, a portable computer cartridge (magnetic device), a Random Access Memory (RAM), a Read Only Memory (ROM), an erasable programmable read only memory (EPROM or flash memory), an optical fiber device, and a portable Compact Disc Read Only Memory (CDROM), even a non-local storage medium, a disk array, or a cloud storage that is connected to a computer through communication means, and the like. In addition, the media may even be paper or other suitable media upon which it may be printed.
Example two
This example is a system for automatically designing breeding scheme of mice based on Mendelian's law of inheritance, as shown in FIG. 4, comprising:
and the information acquisition unit is used for acquiring relevant information of mouse breeding, including project types, the number of genes contained in each breeding route, identification modes, mouse strain backgrounds, background mouse ages, project information and initial and target mouse information.
The above information is necessary for designing a breeding scheme for mice, but is not limited thereto. The meaning and value of various information are described in detail in example one, which can be seen. Information such as the type of project, the number of genes included in each breeding route, the identification method, the mouse strain background, the age of the background mouse, and the like, which are stored in advance in the model, or project information and initial and target mouse information which need to be input by an operator, are acquired by the information acquisition unit and transmitted to the breeding scheme generation unit.
And the breeding scheme generating unit is used for calculating possible breeding routes according to the mouse breeding related information acquired by the information acquiring unit and generating a breeding scheme by combining the cost required by each breeding route.
The automatic generation of the breeding route is specifically that the number and the genotype of the parent mice of the breeding route are obtained by reverse deduction according to the number and the genotype of the target mice, then the parent mice are used as offspring mice, the number and the genotype of the next generation of parent mice are judged until the number and the genotype of the parent mice of a certain generation accord with the number and the genotype of the initial mice; the breeding quantity is calculated according to the following rules: if natural breeding is selected, each male mouse can mate with two female mice, and each female mouse can grow four animals per month; if IVF is selected, each male mouse can be fertilized with 20 female mice by artificial insemination; each female mouse can continuously conceive for two months and live.
The breeding scheme storage unit is used for storing the breeding scheme selected by the user in a document form and can be a local storage medium or a cloud server.
Preferably, the system further comprises a breeding scheme sorting and screening unit for sorting or screening all the generated breeding schemes according to the keywords selected by the user. Specific operations and implementations have been described in the first embodiment, and are not described herein again.
By the method and the system, operators do not need to have abundant mouse breeding experience, and can obtain a plurality of feasible breeding schemes for selection only by inputting key information such as the number and the genotype of the initial and target mice, background mouse information, breeding types and the like. Moreover, the computer software is used for replacing manual design, and the part which is high in professional performance, tedious, time-consuming and easy to make mistakes is handed to the computer, so that the bottleneck problem in the field is solved, the working efficiency is improved, the work which can be finished within hours or even dozens of hours can be finished originally, and only a few minutes is needed at present, and the manpower and material resources are liberated. Meanwhile, the knowledge barrier is broken through, and researchers without abundant experience can quickly obtain the required design scheme, so that the researchers are time-saving and labor-saving, and have low error rate and high efficiency.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, it is relatively simple to describe, and reference may be made to some descriptions of the method embodiment for relevant points. The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. The method for automatically designing the breeding scheme of the mice based on Mendel's genetic law is characterized by comprising the following steps of constructing a breeding scheme model, wherein the breeding scheme model comprises item types, the number of genes contained in each breeding route, an identification mode, mouse strain background and background mouse age; inputting project information and initial and target mouse information to generate at least one feasible breeding scheme, wherein the breeding scheme at least comprises a breeding route and required cost; and selecting and determining a breeding scheme.
2. The method of automatically designing a breeding program for mice of claim 1, wherein the item types include at least one of natural breeding, IVF, biological purification, sperm freezing.
3. The method of automatically designing a breeding program for mice according to claim 1, wherein the identification means comprises ordinary PCR, sequencing, nested PCR, QPCR or TA cloning.
4. The method of automatically designing a breeding program for mice according to claim 1, wherein the project information includes gene name, project responsible person, mouse strain source, strain number, strain name and strain type.
5. The method of automatically designing a breeding program for mice as claimed in claim 1, wherein the information of the mice of interest and origin includes genotypes of the mice of interest and the number of each genotype.
6. The method of claim 1, wherein the breeding route is generated by reversely deducing the number and the genotype of the target mice to obtain the number and the genotype of parent mice, using the parent mice as offspring mice, and determining the number and the genotype of the next generation of parent mice until the number and the genotype of the parent mice of a certain generation are consistent with the number and the genotype of the starting mice; the breeding quantity is calculated according to the following rules: if natural breeding is selected, each male mouse can mate with two female mice, and each female mouse can grow four animals per month; if IVF is selected, each male mouse can be fertilized with 20 female mice by artificial insemination; each female mouse can continuously conceive for two months and live.
7. The method of claim 6, wherein the breeding route is abandoned if the parent mouse is not obtained after the number of generations of the back-calculation exceeds a threshold value, and the number and the genotype of the parent mouse are met.
8. The method of claim 1, further comprising, after generating the breeding program, ordering all breeding programs according to breeding cycle or cost, wherein the breeding cycle is the time required for completing breeding according to breeding route.
9. A system for automatically designing a breeding scheme of a mouse based on Mendelian's law of inheritance, comprising: the information acquisition unit is used for acquiring relevant information of mouse breeding, including breeding types, the number of genes contained in each breeding route, identification modes, mouse strain backgrounds, background mouse ages, item information and initial and target mouse information; the breeding scheme generating unit is used for calculating possible breeding routes according to the mouse breeding related information acquired by the information acquiring unit and generating a breeding scheme by combining the cost required by each breeding route; the breeding scheme storage unit is used for storing the breeding scheme selected by the user in a document form and can be a local storage medium or a cloud server.
10. The system for automatically designing breeding schemes of mice as claimed in claim 9, further comprising a breeding scheme ranking and screening unit for ranking or screening all the generated breeding schemes according to the keywords selected by the user.
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