CN107338295A - A kind of waterlogging phenotype of eggplant and the method for SSR molecular marker association analysis - Google Patents
A kind of waterlogging phenotype of eggplant and the method for SSR molecular marker association analysis Download PDFInfo
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Abstract
The invention discloses a kind of waterlogging molecular labeling of eggplant and the method for waterlogging phenotype association analysis.This method is included：A.219 the acquisition of the waterlogging phenotype of part eggplant material.B.219 the group structure analysis of part eggplant material.C.219 the Genetic relationship of part eggplant material.D. the association analysis between waterlogging phenotype and molecular marker gene type.This method has finally given the group structure, affiliation and the molecular labeling with eggplant resistance to overhead flooding injury tight association of 219 parts of eggplant materials, and certain reference is provided for the waterlogging molecular mark of eggplant.
Description
Technical field
The invention belongs to biological technical field, and in particular to a kind of waterlogging phenotype of eggplant and SSR molecular marker association analysis
Method.
Background technology
Waterlogging caused by excessive rain is the recurrent serious natural calamity in China, and often the national economy to China causes heavy losses.
Under the background of 20 th century later climate warmings, trend the fact that be scientist's general concern of south China waterlogging caused by excessive rain change.China
Waterlogged disaster is the most serious with the Plain of Huanghua Area and In Middle And Lower Reaches of Changjiang River, national disaster area more than 3/4 is accounted for, to production estimation
Harm is very big.In recent years, the waterlogging scope of the vast southern area 6-8 months on the south the Huaihe River of China Qinling Mountains is expanding, and pacifies to crop
The threat getting worse that full fine quality production is brought.
Eggplant (Solanum melongena L.) cultivation extensively in most parts of the world, the United Nations's grain and agriculture group
Knit and eggplant is classified as the fourth-largest vegetable crop.China is eggplant producing country maximum in the world, and in the secondary origin of eggplant
The heart, its cultivated area account for the 50% of the world.2012, the cultivated area of China's eggplant was 80.1 ten thousand hectares, and total output reaches
2882.5 ten thousand tons.In southern region of China, eggplant is easily coerced by waterlogging caused by excessive rain, if cultivating soil overly moist, eggplant leaf can be sent out
Huang, plant are wilted even gradually withered.In recent years, as the expansion year by year of eggplant cultivated area, many areas in China are real
Eggplant all-season cultivation is showed.China Yangtze river basin and its areas to the south, due to seasonal rainfall, open country eggplant is yielded positive results the phase
Plum rains are met with, under the conditions of long-term overcast and rainy, because irrigation and drainage system is bad and the reason such as level of ground water rise, cause soil ponding, sternly
Ghost image rings eggplant production.The waterlogging character of eggplant is complicated quantitative character, and its genetic mechanism is complicated.Therefore, eggplant germplasm is understood
The diversity and affiliation of resource, the molecular labeling that excavate is associated to the waterlogging character of eggplant are advantageous to related excellent equipotential base
The excavation of cause and molecular mark.
Association analysis, also known as linkage disequilibrium are mapped or association mapping, is a kind of positioning and excavation quantitative trait locus
New method, it is using natural population as material, based on linkage disequilibrium (linkage disequilibrium, LD), by mesh
Mark hereditary variation and the gene diversity binding analysis of character, can Direct Identification go out the related gene loci or mark of phenotypic variation
Site.Linkage disequilibrium is also referred to as gamete uneven (Gametic Disequlllbrium) or allelic association
(Allelic Association), it is that nonrandomness associates between different loci allele in a colony to refer to, including two
Nonrandom association between mark or between two gene/QTLs or between a gene/QTLs and mark seat.The method takes the lead in
Animal in medical research with using, and first Application is in plant within 2001.Compared with traditional linkage analysis, association analysis has three
Individual advantage：First, the time spent is few, typically using the more extensive natural population of existing hereditary basis as material, without structure
Special mapping segregating population；Second, efficiency high, multiple allele at same seat can be detected simultaneously, there is provided equipotential become
Different more abundant, the selection in site is no longer limited by two parent's differences；Third, precision is high, the water of term single gene can reach
It is flat, the effect value of each allelic variation can be calculated.
Damage or crop failure caused by waterlogging is global problem, has had a strong impact on growing for plant.China's the vast rural areas eggplant kind at present
The cropping pattern for using outdoor cropping mostly is planted, when the prolonged rainfall of eggplant Growing season experience, eggplant will be had a strong impact on
Grow, finally have a strong impact on the quality and yield of eggplant.Therefore, the waterlogging ability for improving eggplant is in eggplant breeding research
An important goal.But the research on eggplant resistance to overhead flooding injury molecular labeling not yet appears in the newspapers at present.
The content of the invention
Research for the waterlogging character related molecular marker of eggplant in the prior art is still this present situation of blank, and the present invention is logical
Cross and filter out multiple molecular labelings associated with the waterlogging character of eggplant, so as to establish the waterlogging molecular marker assisted selection body of eggplant
System, the efficiency of selection of the waterlogging germ plasm resource of eggplant is improved, laid the foundation for the seed selection of the waterlogging new varieties of eggplant.
The purpose of the present invention is obtained by following technological means：
Step 1：Resistance to overhead flooding injury is identified：Selection carries out flooding flooded processing more than 200 parts of eggplant materials, counts the waterlogging phenotype of eggplant
Data；
Step 2：Eggplant material group structure is analyzed, and method is as follows：
(1) genomic DNA of every part of eggplant material is extracted；
(2) the eggplant genomic DNA of affiliation farther out is chosen first, and each pair SSR primers are screened, obtain band
Clearly, the good SSR primers of specificity, full genome component of the obtained specific SSR primers for every part of eggplant material will be screened
Sub- mark scan, the polymorphic bandses data result that statistics scanning obtains；
(3) group structure division is carried out to every part of eggplant material, calculates the Q values of each eggplant material, Q values be the i-th material its
Genome mutation comes from the probability of kth colony, draws group structure figure；
Step 3：Every part of eggplant material Genetic relationship：Obtained using SPAGeDi software analysis and statistics scanning more
State property strip data result, the affiliation situation between individual in colony can be obtained, i.e., (K values are Kinship (relationships to K values
Relation), data combine to form K matrix)；
Step 4：The determination of the molecular labeling associated with the waterlogging character of eggplant：Use the MLM journeys of the softwares of TASSEL 2.1
Sequence, colony's correction, the K that the waterlogging phenotypic data of every portion of eggplant and affiliation are obtained are carried out using each individual Q values as covariant
Value, which combines, is associated analysis；
If p<0.05, then it is assumed that the marker site is the molecular labeling with eggplant resistance to overhead flooding injury tight association, while is somebody's turn to do
The phenotypic variation explanation rate R of marker site2。
Further, 219 parts of eggplant materials are selected, every part of material sows 50 seeds in hole tray, treats that eggplant seedling is grown
To two leaves wholeheartedly when carry out thinning and transplant seedlings processing, the consistent seedling of 25 plants of growing ways of every part of material selection
Further, in step 1, eggplant material carries out flooding flooded processing procedure as follows：
(1) when eggplant seedling length to four leaves wholeheartedly when carry out flooding flooded processing, hole tray specifically is put into cement floods in flooded pond
Carry out flooding flooded processing, discharged water in pond to soil surface 2-3cm, the constant of water level is kept during flooding flood, flood flood processing 14d.
(2) after flood processing 14d, the water that cement is flooded in flooded pond is all drained, normal field life is carried out to eggplant seedling
It is long to manage, the recovery situation of eggplant seedling is observed after 7d, recovery grade is divided into 5 grades according to the recovery and death condition of plant, such as
Under：
(3) index of recovery is calculated according to recovery grade, calculation formula is：RI=[(X1N1+X2N2+X3N3+...)/4N]×
100
In formula：RI --- index of recovery；Xi --- damage or crop failure caused by waterlogging strain numbers at different levels；Ni --- each damage or crop failure caused by waterlogging extreme value；N --- investigate total strain
Number.
Seedling stage resistance to overhead flooding injury is divided into 3 grades according to index of recovery, as follows：
Judge that the resistance to overhead flooding injury of 219 parts of eggplant materials is strong and weak according to index of recovery value.Index of recovery value is bigger, eggplant resistance to overhead flooding injury
It is poorer；Index of recovery value is smaller, and eggplant resistance to overhead flooding injury is stronger.
Further, in step 2, the operation is as follows：
(1) using CTAB methods extraction eggplant genomic DNA
(2) the eggplant genomic DNA of 8 parts of affiliations farther out is chosen first, 813 pairs of SSR primers is screened, tentatively
Filter out the SSR primers that band is clear, specificity is good.The eggplant genomic DNA of 8 parts of affiliations farther out is still further chosen to first
The superseded SSR primers of step screening are screened again, and second time screening obtains the SSR primers that band is clear, specificity is good.Sieve altogether
Select 196 pairs of specific SSR primers.Full genome component of the obtained specific SSR primers for 219 parts of eggplant materials will be screened
Sub- mark scan, the polymorphic bandses data result that statistics scanning obtains.
(3) guild division based on mathematical modeling is carried out to colony with the softwares of STRUCTRE 2.3, and calculates material phase
The Q values answered (its genome mutation of the i-th material comes from the probability of kth colony).When being analyzed, by MCMC (Markov Chain
Monte Carlo) start when iteration of not counting (Length of Burn-in Period) be set to 30000 times, will not count
MCMC (Number of MCMC Reps after Burn-in) iteration after iteration is set to 100000 times, and K values are set to 2~11,
And assume that the site of each SSR marker is separate, and each K values operation independent 3 times, the then principle maximum according to likelihood value choosing
A suitable K value is taken, and obtains the corresponding Q values of material.Further, in step 3, the operation is as follows：
Using the relevant information of SPAGeDi software analysis and statistics mark, the relationship between individual in colony can be obtained
Relation situation, i.e. K values, this coefficient are used for association analysis MLM models.SPAGeDi.txt is dragged in software first, sequentially input
Corresponding step, after program has been run, copy the data in excel and handled.Processing method is as follows：On diagonal
1 filling of space, the number less than 1 are replaced with 0, and finally all coefficients are all multiplied by 2.
Further, in step 4, the operation is as follows：
Using GLM (General Linear Model) program of the softwares of TASSEL 2.1, with step 2 group structure point
The matrix (K values) obtained in each individual Q values and step 3 Genetic relationship obtained by analysis is all included in as covariant
Model, with the statistics (index of recovery) after 219 portions of eggplants flood stress for phenotype, combine above molecular data and be associated point
Analysis, if p<0.05, then it is assumed that the marker site is the molecular labeling associated with eggplant resistance to overhead flooding injury, while obtains the marker site
Phenotypic variation explanation rate R2(R2Refer to square of loci frequency coefficient correlation, give tacit consent to R in the result that processing software is drawn2For site
Phenotypic variation explanation rate).
Compared with prior art, its remarkable advantage is the present invention：
The waterlogging character of eggplant and SSR molecular marker are associated analysis by the present invention, have understood the more of Eggplant Germplasm Resources
Sample and affiliation, the molecular labeling associated with the waterlogging character of eggplant is excavated, be beneficial to the excellent allele of eggplant
Excavation and molecular mark.
Brief description of the drawings
Corresponding LnP (D) tendency chart of Fig. 1 k values.
The corresponding Δ K tendency charts of Fig. 2 k values.
The group structure figure of 219 parts of eggplant materials of Fig. 3.
219 parts of eggplant material Kinship Distribution value figures of Fig. 4.
Embodiment
With reference to concrete scheme embodiment, step and analysis method of the invention is expanded on further.
Embodiment
1. for 219 parts of eggplant title materials of examination and source, 1 is shown in Table
The title material of table 1 and source
2. test method
(1) 219 part of eggplant material flood stress phenotypic evaluation
1) every part of material sows 50 seeds in hole tray, when eggplant seedling length to two leaves wholeheartedly when carry out thinning and transplant seedlings place
Reason, the consistent seedling of 25 plants of growing ways of every part of material selection.When eggplant seedling length to four leaves wholeheartedly when carry out flooding flooded processing.By hole tray
It is put into cement and floods in flooded pond and carry out flooding flooded processing, discharged water in pond to soil surface 2-3cm, the constant of water level is kept during flooding flood,
Flood flood processing 14d.
2) after flood processing 14d, the water that cement is flooded in flooded pond is all drained, normal field growing is carried out to eggplant seedling
Management, observes the recovery situation of eggplant seedling after 7d, and recovery grade is divided into 5 grades according to the recovery and death condition of plant, as follows：
3) index of recovery is calculated according to recovery grade, calculation formula is：RI=[(X1N1+X2N2+X3N3+...)/4N]×
100
In formula：RI --- index of recovery；Xi --- damage or crop failure caused by waterlogging strain numbers at different levels；Ni --- each damage or crop failure caused by waterlogging extreme value；N --- investigate total strain
Number.
Seedling stage resistance to overhead flooding injury is divided into 3 grades according to index of recovery, as follows：
Judge that the resistance to overhead flooding injury of 219 parts of eggplant materials is strong and weak according to index of recovery value.Index of recovery value is bigger, eggplant resistance to overhead flooding injury
It is poorer；Index of recovery value is smaller, and eggplant resistance to overhead flooding injury is stronger, and index of recovery statistics is shown in Table 2.
The index of recovery analysis of eggplant seedling stage resistance to overhead flooding injury under the conditions of the water logging stress of table 2
(2) 219 parts of eggplant material group structure analyses
1) 219 parts of eggplant genomic DNAs are extracted using CTAB methods, DNA purity is detected with 0.8% Ago-Gel.Will system
The DNA working solutions got ready adjust concentration to 50-100ng/ μ l, put -30 DEG C of refrigerators and save backup.
2) amount according to synthetic primer, primer dry powder is diluted to 100mmol/L mother liquor, then drawn respectively by upper and lower
It is standby as working solution that thing is diluted to 10mmol/L.The eggplant genomic DNA of 8 parts of affiliations farther out is chosen first, to 813 pairs
SSR primers are screened, the SSR primers that preliminary screening shaping band is clear, specificity is good.Still further choose 8 parts of affiliations compared with
Remote eggplant genomic DNA to preliminary screening eliminate SSR primers screened again, second time screening obtain band clearly,
The good SSR primers of specificity.196 pairs of specific SSR primers are filtered out altogether.Obtained specific SSR primers will be screened for 219
The full-length genome molecular labeling scanning of part eggplant material, the polymorphic bandses data result that statistics scanning obtains.
1. SSR PCR amplification system totally 10 μ l, wherein 2.5mM dNTPs 0.2 μ l, DNA (20ng/ul) 1 μ l, Primer
1 0.1 μ l, 10 × PCR Buffer (containing Mg2+) of μ l, rTaq (5U) of Pair (10 μM) 1,6.7 μ l of μ l, ddH20.
SSR PCR response procedures are：94 DEG C of pre-degeneration 5min, 94 DEG C of denaturation 45sec, 55-60 DEG C of annealing 30sec, 72 DEG C
Extend 40sec, totally 40 circulations, 72 DEG C of fully extension 10min, 4 DEG C save backup.
2. the band that every a pair of SSR primers amplify, there is the reading stripe size of band on different migration positions, do not have
Band is designated as "None", and the allele of all materials to be tested is recorded.
3) guild division based on mathematical modeling is carried out to colony with the softwares of STRUCTRE 2.3, and it is corresponding to calculate material
Q values (its genome mutation of the i-th material comes from the probability of kth colony).When being analyzed, by MCMC (Markov Chain
Monte Carlo) start when iteration of not counting (Length of Burn-in Period) be set to 30000 times, will not count
MCMC (Number of MCMC Reps after Burn-in) iteration after iteration is set to 100000 times, and K values are set to 2~11,
And assume that the site of each SSR marker is separate, and each K values operation independent 3 times, the then principle maximum according to likelihood value choosing
A suitable K value is taken, and obtains the corresponding Q values of material.As a result K values of the log-likelihood function value LnP (D) with setting is shown
Increase and lasting increase, reliable K values (Fig. 1) can not be determined；And when K values are 3, its model can obtain the Δ K of maximum
It is worth (Fig. 2), and at flex point.Hence, it can be determined that it is appropriate that 219 parts of Eggplant Varieties are divided into 3 subgroups, it is respectively designated as
POP1, POP2 and POP3 (Fig. 3).POP1 subgroups class (red) includes 161 parts of materials, mainly some cultivars and a small amount of sight
Kind is appreciated, affiliation and subgroup POP2, POP3 are farther out；POP2 subgroups class (green) includes 46 parts of materials, essentially from China
The local varieties and foreign kind in the north, minority come from southern kind；POP3 subgroups class (blueness) shares 12 parts of materials, big portion
It is divided into wild varieties, remaining 2 parts of material source derives from Taiwan in Japan and 1 part.
(3) 219 parts of eggplant material Genetic relationships
Using the relevant information of SPAGeDi software analysis and statistics mark, the relationship between individual in colony can be obtained
Relation situation, i.e. K values, this coefficient are used for association analysis MLM models.SPAGeDi.txt is dragged in software first, sequentially input
Corresponding step, after program has been run, copy the data in excel and handled.Processing method is as follows：On diagonal
1 filling of space, the number less than 1 are replaced with 0, and finally all coefficients are all multiplied by 2.Affiliation between test group individual,
As a result it is as shown in Figure 4.Affiliation Kinship coefficients (K values) are roughly divided into 4 scopes between 0-2.Coefficient is 0 to account for
53.31%, illustrate to have in test group related affiliation is not present between individual more than half, reflect eggplant material
With certain genetic diversity；Its ordered coefficients is that accounting between 45.93%, 0.5-1 for 0-0.5 accounts for 0.26%, and remaining 0.5%
Between 1 and 2, it is seen that in 196 parts of Eggplant Varieties or some material has certain affiliation, and only few
Number has nearlyer affiliation.
(4) determination of the molecular labeling associated with eggplant resistance to overhead flooding injury
Using GLM (General Linear Model) program of the softwares of TASSEL 2.1, with step 2 group structure point
The matrix (K values) obtained in each individual Q values and step 3 Genetic relationship obtained by analysis is all included in as covariant
Model, with the statistics (index of recovery) after 219 portions of eggplants flood stress for phenotype, combine above molecular data and be associated point
Analysis, if p<0.05, then it is assumed that the marker site is the molecular labeling associated with eggplant resistance to overhead flooding injury, while obtains the marker site
Phenotypic variation explanation rate R2。
As a result (table 3) is shown, in 196 sites of detection, shares 27 sites and eggplant is waterlogging significantly associates (P ＜
0.05) institute markd 13.78%, is accounted for.This 27 pairs of SSR markers and the waterlogging related phenotypic interpretation rate of eggplant are listed in table 3.
This 27 pairs of SSR markers are distributed on 8 chromosomes.It is that No. 10 chromosomes 2 are right each 1 pair on 2,3,4, No. 11 chromosomes respectively, 6,
Each 3 pairs on No. 8 chromosomes, the mark on chromosome 1,9 is most, there is 5 pairs.Flooded stress resistance etc. can be explained in each mark
Level scope is 0.0216-0.1448, and average phenotypic explanation rate is 0.0596.Phenotypic interpretation rate highest is in this 27 couple mark
Emg21B11, phenotypic interpretation rate it is relatively low be the mark emh11B18 in linkage group 9.
The marker site related to eggplant resistance to overhead flooding injury of table 3 and its explanation rate to phenotypic variation
This 27 molecular labelings related to eggplant resistance to overhead flooding injury that the present invention obtains will aid in for eggplant molecular labeling from now on
Important foundation is established in application of the breeding in resistance to overhead flooding injury Eggplant Varieties seed selection.
It is exactly the detailed description to the specific embodiment of the invention above.
Claims (6)
1. a kind of waterlogging phenotype of eggplant and the method for molecular marker gene type association analysis, it is characterised in that comprise the following steps：
Step 1：Resistance to overhead flooding injury is identified：Selection carries out flooding flooded processing more than 200 parts of eggplant materials, counts the waterlogging phenotypic data of eggplant；
Step 2：Eggplant material group structure is analyzed, and method is as follows：
(1) genomic DNA of every part of eggplant material is extracted；
(2) the eggplant genomic DNA of affiliation farther out is chosen first, and each pair SSR primers are screened, it is clear to obtain band
SSR primers clear, specificity is good, full-length genome molecule of the obtained specific SSR primers for every part of eggplant material will be screened
Mark scan, the polymorphic bandses data result that statistics scanning obtains；
(3) group structure division is carried out to every part of eggplant material, calculates the Q values of each eggplant material, Q values are its genes of the i-th material
Group variation comes from the probability of kth colony, draws group structure figure；
Step 3：Every part of eggplant material Genetic relationship：The polymorphism obtained using SPAGeDi software analysis and statistics scanning
Strip data result, the affiliation situation between individual, i.e. K values in colony can be obtained；
Step 4：The determination of the molecular labeling associated with the waterlogging character of eggplant：Using the MLM programs of the softwares of TASSEL 2.1,
Colony's correction, the K value groups that the waterlogging phenotypic data of every portion of eggplant and affiliation are obtained are carried out using each individual Q values as covariant
Analysis is associated altogether；
If p<0.05, then it is assumed that the marker site is the molecular labeling with eggplant resistance to overhead flooding injury tight association, while obtains the mark
The phenotypic variation explanation rate R in site2。
2. the waterlogging phenotype of eggplant as claimed in claim 1 and the method for SSR molecular marker association analysis, it is characterised in that choosing
Select 219 parts of eggplant materials, every part of material sows 50 seeds in hole tray, when eggplant seedling length to two leaves wholeheartedly when carry out thinning
Transplant seedlings processing, the consistent seedling of 25 plants of growing ways of every part of material selection.
3. the waterlogging phenotype of eggplant as claimed in claim 2 and the method for SSR molecular marker association analysis, it is characterised in that step
In rapid one, eggplant material carries out flooding flooded processing procedure as follows：
(1) when eggplant seedling length to four leaves wholeheartedly when carry out flooding flooded processing, hole tray be specifically put into cement flooded in flooded pond and carry out
Flooded processing is flooded, is discharged water in pond to soil surface 2-3cm, the constant of water level is kept during flooding flood, floods flood processing 14d；
(2) after flood processing 14d, the water that cement is flooded in flooded pond is all drained, normal field growing pipe is carried out to eggplant seedling
Manage, the recovery situation of eggplant seedling is observed after 7d, recovery grade is divided into 5 grades according to the recovery and death condition of plant；(3) basis
Recovery grade calculates index of recovery, and calculation formula is：RI=[(X1N1+X2N2+X3N3+...)/4N]×100
In formula：RI-index of recovery；Xi-damage or crop failure caused by waterlogging at different levels strain number；Ni-each damage or crop failure caused by waterlogging extreme value；N-investigation total strain number.
4. the waterlogging phenotype of eggplant as claimed in claim 2 and the method for SSR molecular marker association analysis, it is characterised in that step
In two, the operation is as follows：
(1) using CTAB methods extraction eggplant genomic DNA；
(2) the eggplant genomic DNA of 8 parts of affiliations farther out is chosen first, 813 pairs of SSR primers is screened, preliminary screening
The SSR primers that shaping band is clear, specificity is good；The eggplant genomic DNA of 8 parts of affiliations farther out is still further chosen to preliminary sieve
The superseded SSR primers of choosing are screened again, and second time screening obtains the SSR primers that band is clear, specificity is good；Filter out altogether
196 pairs of specific SSR primers.Full-length genome molecule mark of the obtained specific SSR primers for 219 parts of eggplant materials will be screened
Note scanning, the polymorphic bandses data result that statistics scanning obtains；
(3) guild division based on mathematical modeling is carried out to colony with the softwares of STRUCTRE 2.3, and calculates the corresponding Q of material
Value；When being analyzed, the iteration of not counting when MCMC is started is set to 30000 times, and the MCMC iteration after iteration of not counting is set
For 100000 times, K values are set to 2~11, and assume that the site of each SSR marker is separate, each K values operation independent 3 times, so
The principle maximum according to likelihood value chooses a suitable K value afterwards, and obtains the corresponding Q values of material.
5. the waterlogging phenotype of eggplant as claimed in claim 2 and the method for SSR molecular marker association analysis, it is characterised in that step
In three, the operation is as follows：
The polymorphic bandses data result obtained using SPAGeDi software analysis and statistics scanning, it can obtain individual in colony
Between affiliation situation, i.e. K values, this coefficient be used for association analysis MLM models.
6. the waterlogging phenotype of eggplant as claimed in claim 2 and the method for SSR molecular marker association analysis, it is characterised in that step
In four, the operation is as follows：Using the GLM programs of the softwares of TASSEL 2.1, in being analyzed with step 2 group structure obtained by
Each individual Q values and step 3 Genetic relationship in obtained K values be all included in model as covariant, with 219 parts of eggplant floods
Index of recovery after stress is phenotype, and joint above molecular data is associated analysis, if p<0.05, then it is assumed that the marker site
It is the molecular labeling associated with eggplant resistance to overhead flooding injury, while obtains the phenotypic variation explanation rate R of the marker site2。
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