CN101984446B - Estimating method of genetic similarity index of codominance molecular marker based on relative correlation coefficient - Google Patents
Estimating method of genetic similarity index of codominance molecular marker based on relative correlation coefficient Download PDFInfo
- Publication number
- CN101984446B CN101984446B CN2010105165445A CN201010516544A CN101984446B CN 101984446 B CN101984446 B CN 101984446B CN 2010105165445 A CN2010105165445 A CN 2010105165445A CN 201010516544 A CN201010516544 A CN 201010516544A CN 101984446 B CN101984446 B CN 101984446B
- Authority
- CN
- China
- Prior art keywords
- plant
- lines
- variety
- plant lines
- plant variety
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Landscapes
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention discloses a calculation method of genetic similarity index of codominance molecular marker based on relative correlation coefficient. The technical scheme is as follows: obtaining an electrophoresis pattern of each variety or kind of plant by adopting the current codominance molecular marker method; comparing in pairs according to the amplification strip information of the variety or kind of the plant; respectively calculating a genetic similarity index between each two plant varieties and kinds according to a calculation formula of the genetic similarity index; and taking the genetic similarity index as the estimation of the corresponding relative extent of the individuals. The calculation method of genetic similarity index is applied to the codominance molecular marker. The calculation method of the obtained genetic similarity index can effectively respond the relative relationship extent among the colonies based on the relative correlation coefficient.
Description
Technical field
The present invention relates to biology field, relate in particular to a kind of codominance molecular labeling genetic resemblance exponential estimation method based on the relationship related coefficient.
Background technology
Along with development of biology, the detection of genetic diversity develops into chromosome and dna level gradually from morphology, Physiology and biochemistry level, experienced from simple to complicated, from the macroscopic view to the microcosmic, from the evolution of qualitative to quantitative.
Detecting genetic diversity on the dna level mainly is the nucleotide sequence through RFLP (restriction segment length polymorphism), RAPD (randomly amplified polymorphic DNA), SSR some specific genes of technical Analysis such as (microsatellite polymorphisms) or dna segment; Measure its variability; Detect genomic a collection of recognition site; Thereby estimate genomic variability (Zhang Dequan and Yang Yongping, 2008).Research proof, the detection method of dna level can both be selected suitable statistical method according to the individual dna fingerprinting that obtains through electrophoretic separation, can judge genetic purity that kind or strain are interior and the hereditary difference between kind or strain effectively.
Selecting suitable genetic resemblance index calculation method is to carry out the basis (Dalirsefat, 2009) that population genetic diversity is analyzed.The selection of Kosman and Leonard (2005) report genetic similarity computing method depends primarily on the molecular labeling type that test is adopted.RFLP, SSR, SCAR molecular labeling etc. all belong to the codominance molecular labeling, can distinguish the dominance homozygote and the heterozygote of diplont.In the codominance molecular labeling, dominance homozygote, stealthy homozygote all have only a band, and two amplified bands then can appear in the goneoclin individuality.Therefore, generally can not occur all non-existent site of two individual fragments in the codominance molecular labeling similarity coefficient computation process, 0 promptly total type band value is generally 0.
At present; According to different researchists and some applied analysis software (like Phyhp; PAUP and NTSYS etc.) frequency quoting or adopt; The analysis of the genetic resemblance index between codominance molecular labeling sample has following two kinds of computing method usually: Sorensen-Dice similarity index (Barth etc., 2002; Belaj etc., 2003; Cordeiro etc., 2003; Dearborn etc., 2003), Jaccard similarity index (Teulat etc., 2000; Anthony etc., 2002; Cordeiro etc., 2003;
etc., 2003).More than two kinds of similarity index values between 0 and 1, can be converted into similar percent (Wang Chengshu and Li Zengzhi, 2002), often be used to weigh genetic resemblance degree between individuality, according to this as judging the far and near foundation of relationship between individuality.
But above-mentioned two kinds of similarity indexes only are used for describing a kind of range index or the similarity index of two binary variable differences or similarity degree, its in essence and between individuality the relationship degree do not have positive connection.Given this, the inventor proposes a kind of new genetic resemblance exponential estimation method according to the definition of relationship related coefficient (relationship coefficient), in order to estimate the genetic resemblance index between codominance molecular labeling kind or strain.
Summary of the invention
The objective of the invention is to overcome relationship degree between existing genetic resemblance index and individuality does not have the defective of positive connection, and a kind of codominance molecular labeling genetic resemblance exponential estimation method based on the relationship related coefficient is provided.
Step based on the codominance molecular labeling genetic resemblance exponential estimation method of relationship related coefficient is following:
1) adopts the codominance molecule labelling method, obtain the electrophoresis pattern of plant variety or plant lines,,, carry out reading and recording with 1 or 0 respectively according to the having or do not have of amplified production band to the electrophoresis pattern of plant variety or plant lines;
2) according to the amplification bands of a spectrum information of plant variety or plant lines, be carried out to relatively, obtain a, b, c value between plant variety or plant lines respectively;
3) according to a between plant variety or plant lines, b, c value calculate respectively plant variety or plant lines in twos between the genetic resemblance index, as the estimation of relationship degree between corresponding plant variety or between plant lines.
Described amplification bands of a spectrum information according to plant variety or plant lines; Be carried out to comparing; The a, b, the c value step that obtain respectively between plant variety or plant lines are: the amplification bands of a spectrum information that compares plant variety or plant lines in pairs; Obtain a, b, c value between plant variety or plant lines, a value is the 1 type spectrum band number that plant variety or plant lines x, y have; The b value is the contained 1 type spectrum band number of plant variety or plant lines x; The c value is the contained 1 type spectrum band number of plant variety or plant lines y; Wherein x, y are expressed as two plant varieties or the plant lines to relatively.
Described calculate respectively plant variety or plant lines in twos between the genetic resemblance index; As the estimating step of relationship degree between corresponding plant variety or between plant lines be: utilize based on the genetic resemblance formula of index
of relationship related coefficient calculate respectively plant variety or plant lines in twos between genetic resemblance index Rxy, wherein a value is the 1 type spectrum band number that plant variety or plant lines x, y have; The b value is the contained 1 type spectrum band number of plant variety or plant lines x; The c value is the contained 1 type spectrum band number of plant variety or plant lines y; X, y are expressed as two plant varieties or the plant lines to relatively.
Genetic resemblance index calculation method of the present invention is applicable to the codominance molecular labeling.The genetic resemblance index calculation method of gained can reflect effectively that based on the relationship related coefficient sibship between colony is far and near.
Description of drawings
Fig. 1 is the SSR amplification collection of illustrative plates of P068 primer to 15 rape varieties, among the figure: M:marker DL2000; 1-15: listed 15 rape varieties in the table 1.
Embodiment
Step based on the codominance molecular labeling genetic resemblance exponential estimation method of relationship related coefficient is following:
1) adopts the codominance molecule labelling method, obtain the electrophoresis pattern of plant variety or plant lines,,, carry out reading and recording with 1 or 0 respectively according to the having or do not have of amplified production band to the electrophoresis pattern of plant variety or plant lines;
2) according to the amplification bands of a spectrum information of plant variety or plant lines, be carried out to relatively, obtain a, b, c value between plant variety or plant lines respectively;
3) according to a between plant variety or plant lines, b, c value calculate respectively plant variety or plant lines in twos between the genetic resemblance index, as the estimation of relationship degree between corresponding plant variety or between plant lines.
Described amplification bands of a spectrum information according to plant variety or plant lines; Be carried out to comparing; The a, b, the c value step that obtain respectively between plant variety or plant lines are: the amplification bands of a spectrum information that compares plant variety or plant lines in pairs; Obtain a, b, c value between plant variety or plant lines, a value is the 1 type spectrum band number that plant variety or plant lines x, y have; The b value is the contained 1 type spectrum band number of plant variety or plant lines x; The c value is the contained 1 type spectrum band number of plant variety or plant lines y; Wherein x, y are expressed as two plant varieties or the plant lines to relatively.
Described calculate respectively plant variety or plant lines in twos between the genetic resemblance index; As the estimating step of relationship degree between corresponding plant variety or between plant lines be: utilize based on the genetic resemblance formula of index
of relationship related coefficient calculate respectively plant variety or plant lines in twos between genetic resemblance index Rxy, wherein a value is the 1 type spectrum band number that plant variety or plant lines x, y have; The b value is the contained 1 type spectrum band number of plant variety or plant lines x; The c value is the contained 1 type spectrum band number of plant variety or plant lines y; X, y are expressed as two plant varieties or the plant lines to relatively.
1 total type spectrum band number of known plants kind or plant lines x, y is that the collaborating genes group number of plant variety or plant lines x, y is a; The genome number that the contained 1 type spectrum band number of plant variety or plant lines x is plant variety or plant lines x is b; The genome number that the contained 1 type spectrum band number of plant variety or plant lines y is plant variety or plant lines y is c.To contain the frequency of total gene be a/b for x plant variety or plant lines so, and the frequency that y plant variety or plant lines contain total gene is a/c, with this coefficient of inbreeding of estimating x, y plant variety or plant lines offspring is:
If the coefficient of inbreeding of x and y plant variety or plant lines is respectively F
xAnd F
y, then the relationship related coefficient between x and y plant variety or plant lines is:
Because it is individual that x, y plant variety or plant lines are non-inbreeding, so F
x=F
y=0, then (2) formula becomes:
But under the bigger situation of a value, utilize (3) formula to estimate that the situation greater than 1 may appear in the relationship degree between individuality, therefore for guaranteeing 0≤R
Xy≤1, and consider and can further (3) formula be reduced to the comparability of genetic resemblance degree between individuality:
Embodiment:
The present invention generally is suitable in analysis of genetic diversity research the codominance molecular labeling, on the rape variety analysis of genetic diversity, is applied as example with the SSR molecular labeling.
1) using 8 pairs of polymorphism SSR primers analyzes 15 rape varieties (table 1); Obtain the electrophoresis pattern (Fig. 1) of 15 rape varieties; According to the having or do not have of amplified production band, carry out reading and recording with 1 or 0 respectively, obtain comprising the SSR finger-print data (table 2) of 22 amplified fragments;
15 rape varieties of table 1 experiment selected
The SSR finger-print data of 15 rape varieties of table 2
2) according to the SSR finger-print data of 15 rape varieties, be carried out to relatively, obtain a, b, c value respectively.Is example with Zhejiang two 758 with assorted No. 4 two rape varieties of magnificent oil: two variety SSR fingerprint collection of illustrative plates compare in pairs, obtain a=8, b=10, c=10;
3) add up any two interracial genetic resemblance indexes (table 3) in 15 rape varieties respectively according to formula
, as the estimation of relationship degree between corresponding kind; With Zhejiang two 758 and assorted No. 4 two rape varieties of China's oil is example: a=8 between two kinds; B=10; C=10 tries to achieve
according to formula
Genetic resemblance index between 15 rape varieties of table 3
Claims (1)
1. codominance molecular labeling genetic resemblance exponential estimation method based on the relationship related coefficient is characterized in that its step is following:
1) adopts the codominance molecule labelling method, obtain the electrophoresis pattern of plant variety or plant lines,,, carry out reading and recording with 1 or 0 respectively according to the having or do not have of amplified production band to the electrophoresis pattern of plant variety or plant lines;
2) according to the amplification bands of a spectrum information of plant variety or plant lines, be carried out to relatively, obtain a, b, c value between plant variety or plant lines respectively;
3) according to a between plant variety or plant lines, b, c value calculate respectively plant variety or plant lines in twos between the genetic resemblance index, as the estimation of relationship degree between corresponding plant variety or between plant lines;
Described amplification bands of a spectrum information according to plant variety or plant lines; Be carried out to comparing; The a, b, the c value step that obtain respectively between plant variety or plant lines are: the amplification bands of a spectrum information that compares plant variety or plant lines in pairs; Obtain a, b, c value between plant variety or plant lines, a value is the 1 type spectrum band number that plant variety or plant lines x, y have; The b value is the contained 1 type spectrum band number of plant variety or plant lines x; The c value is the contained 1 type spectrum band number of plant variety or plant lines y; Wherein x, y are expressed as two plant varieties or the plant lines to relatively; Described calculate respectively plant variety or plant lines in twos between the genetic resemblance index, as the estimating step of relationship degree between corresponding plant variety or between plant lines be: utilize genetic resemblance formula of index based on the relationship related coefficient
Calculate respectively plant variety or plant lines in twos between genetic resemblance index R
Xy, wherein a value is plant variety or plant lines x, 1 total type spectrum band number of y; The b value is the contained 1 type spectrum band number of plant variety or plant lines x; The c value is the contained 1 type spectrum band number of plant variety or plant lines y; X, y are expressed as two plant varieties or the plant lines to relatively.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2010105165445A CN101984446B (en) | 2010-10-22 | 2010-10-22 | Estimating method of genetic similarity index of codominance molecular marker based on relative correlation coefficient |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2010105165445A CN101984446B (en) | 2010-10-22 | 2010-10-22 | Estimating method of genetic similarity index of codominance molecular marker based on relative correlation coefficient |
Publications (2)
Publication Number | Publication Date |
---|---|
CN101984446A CN101984446A (en) | 2011-03-09 |
CN101984446B true CN101984446B (en) | 2012-07-04 |
Family
ID=43641615
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2010105165445A Active CN101984446B (en) | 2010-10-22 | 2010-10-22 | Estimating method of genetic similarity index of codominance molecular marker based on relative correlation coefficient |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN101984446B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103942466B (en) * | 2014-05-12 | 2017-03-29 | 中国水产科学研究院黑龙江水产研究所 | A kind of Fish Juvenile stage system and method based on genetic background |
CN104134016B (en) * | 2014-07-30 | 2017-12-15 | 北京诺禾致源科技股份有限公司 | The apparatus and method that pedigree on molecular level is rebuild |
CN104134018B (en) * | 2014-07-30 | 2017-09-26 | 北京诺禾致源科技股份有限公司 | The apparatus and method that the source of chromosome segment is inferred in pedigree |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101041852A (en) * | 2006-03-21 | 2007-09-26 | 北京杂交小麦工程技术研究中心 | Method for building-up SSR finger-print code of wheat breed |
CN101712998A (en) * | 2009-11-03 | 2010-05-26 | 上海交通大学 | Detection method of genetic relationship among eggplants based on SRAP marks |
-
2010
- 2010-10-22 CN CN2010105165445A patent/CN101984446B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101041852A (en) * | 2006-03-21 | 2007-09-26 | 北京杂交小麦工程技术研究中心 | Method for building-up SSR finger-print code of wheat breed |
CN101712998A (en) * | 2009-11-03 | 2010-05-26 | 上海交通大学 | Detection method of genetic relationship among eggplants based on SRAP marks |
Also Published As
Publication number | Publication date |
---|---|
CN101984446A (en) | 2011-03-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Chesnokov et al. | Evaluation of the measure of polymorphism information of genetic diversity | |
Simko et al. | Empirical evaluation of DArT, SNP, and SSR marker-systems for genotyping, clustering, and assigning sugar beet hybrid varieties into populations | |
Silva‐Junior et al. | A flexible multi‐species genome‐wide 60K SNP chip developed from pooled resequencing of 240 Eucalyptus tree genomes across 12 species | |
Ross-Ibarra et al. | Historical divergence and gene flow in the genus Zea | |
Du et al. | Genetic diversity and population structure of Chinese white poplar (Populus tomentosa) revealed by SSR markers | |
Wang et al. | Population genetics of foxtail millet and its wild ancestor | |
Fu et al. | Genome-wide analyses of introgression between two sympatric Asian oak species | |
Shehzad et al. | Genome-wide association mapping of quantitative traits in sorghum (Sorghum bicolor (L.) Moench) by using multiple models | |
Biswas et al. | Genome-wide insights into the patterns and determinants of fine-scale population structure in humans | |
Morris et al. | Sampling strategies for using female gametophytes to estimate heterozygosity in conifers | |
US20150337395A1 (en) | Molecular markers and methods for identifying date palm genotypes | |
Ouni et al. | Genetic diversity and structure of Tunisian local pear germplasm as revealed by SSR markers | |
CN101984446B (en) | Estimating method of genetic similarity index of codominance molecular marker based on relative correlation coefficient | |
CN112029896A (en) | Method for detecting diversity of macrophytes based on environmental DNA technology | |
Raturi et al. | Molecular characterization of Vigna radiata (L.) Wilczek genotypes based on nuclear ribosomal DNA and RAPD polymorphism | |
Chen et al. | Genetic diversity of Prunus sibirica L. superior accessions based on the SSR markers developed using restriction-site associated DNA sequencing | |
Lacis et al. | Molecular characterization of the Latvian apple (Malus) genetic resource collection based on SSR markers and scab resistance gene Vf analysis | |
Stegle et al. | Accounting for non-genetic factors improves the power of eQTL studies | |
Degletagne et al. | Transcriptome analysis in non-model species: a new method for the analysis of heterologous hybridization on microarrays | |
CN104789648A (en) | Molecular markers for haplotype identification of paddy rice CMS restoring gene Rf-1 segment and applications thereof | |
CN103184275A (en) | Novel method for gene identification of rice genome | |
CN102154452B (en) | Method and system for identifying cis-regulatory action and trans-regulatory action | |
BLORI-MOGHADAM et al. | Genetic diversity assessment in several barley (Hordeum vulgare L.) cultivars using microsatellite markers | |
CN104328214A (en) | Detecting method of multi-fetal sheep | |
Beharav et al. | Predictive validity of discriminant analysis for genetic data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |