CN111455088B - Fusarium layering SSR molecular marker and application thereof - Google Patents

Fusarium layering SSR molecular marker and application thereof Download PDF

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CN111455088B
CN111455088B CN202010418724.3A CN202010418724A CN111455088B CN 111455088 B CN111455088 B CN 111455088B CN 202010418724 A CN202010418724 A CN 202010418724A CN 111455088 B CN111455088 B CN 111455088B
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王玲
黄世文
刘连盟
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Abstract

Fusarium SSR molecular markers and application thereof belong to the technical field of DNA molecular markers. The fusarium SSR molecular marker is obtained by detecting the distribution of the fusarium SSR according to genome data of the fusarium, designing primers, and carrying out primary screening and secondary screening to obtain 12 SSR molecular markers with abundant polymorphism and different simple sequence repeating units. The invention has the beneficial effects that: based on genome sequence information of the layered fusarium, 12 SSR molecular markers which are different from the former and have high polymorphism and good repeatability are obtained, so that the molecular markers are very effective, and the genetic diversity of the layered fusarium and the population genetic structure of the layered fusarium can be systematically revealed.

Description

Fusarium layering SSR molecular marker and application thereof
Technical Field
The invention belongs to the technical field of DNA molecular markers, and particularly relates to a Fusarium layering SSR molecular marker and application thereof.
Background
Fusarium layeringFusarium proliferatum) Is a pathogenic bacteria of plant diseases worldwide, has wide host range, and can cause rice ear rot, corn ear rot, soybean root rot, mango malformation, eggplant flower rot, tomato leaf blight and the like. The pathogenic bacteria not only can reduce crop yield, but also can produce various mycotoxins (such as fumonisin, fusarin, fusaric acid and the like), has strong pathogenicity, teratogenicity and carcinogenicity, and can cause serious threat to the life health of human and animal. At present, research on Fusarium layering at home and abroad is focused on aspects of pathogen identification classification, biological characteristics, toxin formation and the like, and little is known about genetic diversity and population genetic characteristics of the Fusarium layering. The microbial systems in all the places are affected by climate, soil conditions and the like, so that fusarium groups in all the strata are not completely identical. Therefore, it is necessary to develop suitable molecular markers, systematically study genetic structure and genetic differentiation of Fusarium layering, understand the relationship between Fusarium layering genetic variation and factors such as geography, climate, variety and the like and related evolution rules, and provide theoretical basis for formulating scientific and reasonable disease control measures.
Simple repeated sequences (SSR, simple sequence repeats), also known as microsatellite loci, are DNA sequences consisting of 1-6 base sequences in tandem and are commonly distributed in the genome of eukaryotes. SSR markers are commonly used molecular biological markers, and the principle is as follows: because of different repetition numbers due to different alleles, specific primers can be designed according to conserved sequences at two sides of the repeated sequences to carry out PCR amplification. The SSR molecular marker has the advantages of good repeatability, high polymorphism, co-dominant inheritance and the like, and is widely applied to research fields of species evolution, genetic map construction, gene positioning, genetic diversity, molecular auxiliary breeding and the like. However, traditional microsatellite development approaches are time consuming and inefficient, mainly by constructing genomic libraries. With the development of sequencing technology, the repeated sequence fragment information is obtained by using a high-throughput sequencing technology, so that the efficiency of SSR marker development is remarkably improved. However, until now, development and utilization of SSR molecular markers layered in fusarium genome have been little studied, and only Monnief developed a report of 6 pairs of polymorphic SSR primers from the simple sequence repeat spacer (ISSR) (Monnief et al, development of Simple Sequence Repeat (SSR) markers for discrimination among isolates ofFusarium proliferatumJournal of Microbiological Methods, 2016, 126:12-17), which is far from sufficient for the stratification of genetic variation of Fusarium. Since the research of the genome sequencing of the fusarium is started later, no report of developing SSR markers by using the genome sequence of the fusarium is found. Therefore, the invention develops the SSR molecular marker with abundant fusarium polymorphism according to the fusarium complete genome sequence information.
Disclosure of Invention
Aiming at the current situation that the fusarium microsatellite marker is not developed by using the genome sequence of fusarium, the invention aims to design and provide the SSR molecular marker of fusarium and the application thereof. The invention develops the molecular marker of the fusarium oxysporum microsatellite with polymorphism by applying a bioinformatics method, establishes a technical system of the fusarium oxysporum microsatellite, and provides a powerful research tool for genetic diversity and population genetic research of the fusarium oxysporum.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the fusarium SSR molecular marker is characterized by comprising 12 SSR molecular markers which are rich in polymorphism and contain different simple sequence repeating units, and specifically comprises FP03, wherein the nucleotide sequence is SEQ ID NO.1; FP08, nucleotide sequence of SEQ ID NO.2; FP13 with the nucleotide sequence of SEQ ID NO.3; FP21 with the nucleotide sequence of SEQ ID NO.4; FP24 with the nucleotide sequence of SEQ ID NO.5; FP26 with the nucleotide sequence of SEQ ID NO.6; FP31 with the nucleotide sequence of SEQ ID NO.7; FP32 with the nucleotide sequence of SEQ ID NO.8; FP35 with the nucleotide sequence of SEQ ID NO.9; FP43 with the nucleotide sequence of SEQ ID NO.10; FP48 with the nucleotide sequence of SEQ ID NO.11; FP51 has the nucleotide sequence of SEQ ID NO.12.
The fusarium layered SSR molecular marker is characterized in that 12 pairs of primers for amplifying the 12 SSR molecular markers containing different simple sequence repeating units comprise: the nucleotide sequences of the primers of the amplified FP03 are SEQ ID NO.13 and SEQ ID NO.14, the nucleotide sequences of the primers of the amplified FP08 are SEQ ID NO.15 and SEQ ID NO.16, the nucleotide sequences of the primers of the amplified FP13 are SEQ ID NO.17 and SEQ ID NO.18, the nucleotide sequences of the primers of the amplified FP21 are SEQ ID NO.19 and SEQ ID NO.20, the nucleotide sequences of the primers of the amplified FP24 are SEQ ID NO.21 and SEQ ID NO.22, the nucleotide sequences of the primers of the amplified FP26 are SEQ ID NO.23 and SEQ ID NO.24, the nucleotide sequences of the primers of the amplified FP31 are SEQ ID NO.25 and SEQ ID NO.26, the nucleotide sequences of the primers of the amplified FP32 are SEQ ID NO.27 and SEQ ID NO.28, the nucleotide sequences of the primers of the amplified FP35 are SEQ ID NO.29 and SEQ ID NO.30, the nucleotide sequences of the primers of the amplified FP43 are SEQ ID NO.31 and SEQ ID NO.32, the nucleotide sequences of the primers of the amplified FP48 are SEQ ID NO.33 and SEQ ID NO.34, and the nucleotide sequences of the primers of the amplified FP51 are SEQ ID NO.35 and SEQ ID NO.36.
The application of the SSR molecular marker in the genetic diversity analysis of fusarium layering.
The application of the SSR molecular marker in the genetic diversity analysis of fusarium, comprises the following steps:
(1) Collecting, separating and identifying fusarium;
(2) Extracting the genome DNA of fusarium strains from the layer;
(3) Performing PCR amplification on the genome DNA obtained in the step (2) to obtain a PCR amplification product;
(4) SSR genotyping: diluting the PCR amplification product obtained in the step (3) by 30 times, then carrying out denaturation, loading the sample to a full-automatic gene sequencer for fragment analysis, reading data by using software GeneMapper v3.25, and determining the genotype according to the size of the separated fragment;
(5) Analysis of genetic diversity.
The application of the SSR molecular marker in the genetic diversity analysis of fusarium, which is characterized in that the PCR reaction system in the step (3) is as follows: 50 ng/. Mu.L of template DNA 1. Mu.L, mgCl 2.5. Mu.L of 25 mM, 2.5 mM dNTPs 1. Mu.L, 10. Mu.M forward and reverse primers each 1. Mu.L, 5U/. Mu.L of DNA Taq enzyme 0.2. Mu.L, 10 XPCR buffer 2.5. Mu.L, deionized water to 25. Mu.L, the forward 5' end of the primers carrying a blue 6-FAM or green HEX specific fluorescent label for amplifying the size of the band of interest, the PCR amplification procedure being: pre-denaturation at 98℃for 3min, denaturation at 98℃for 10s, annealing at 55℃for 20s, extension at 72℃for 30s, total of 35 cycles, extension at 72℃for 10min.
The application of the SSR molecular marker in the genetic diversity analysis of fusarium, which is characterized in that the genetic diversity analysis method in the step (5) comprises the following steps: the method comprises the steps of calculating and observing an allelic factor Na, an effective allelic factor Ne, shannon's diversity index I, an observed heterozygosity Ho, an expected heterozygosity He, an inter-population Nei's genetic distance D and a genetic similarity I by using POPGENE version1.32, calculating the percentage of total variation occupied by different variation levels among individuals in the population, the population and the individuals by using Alequin3.1 software, calculating the statistical variance component and the contribution rate, clearly causing the main source of the total variation of the population, calculating the genetic differentiation coefficient FST among the populations, estimating a gene flow Nm according to FST=1/(4Nm+1), constructing a non-weighted group average method UPGMA cluster map of the population based on the Nei's genetic distance, carrying out inter-population genetic Structure analysis by using a Bayesian cluster method of Structure V2.3.4 software, and drawing a generated population genetic Structure diagram by using DISTRUCT software.
The invention has the beneficial effects that: based on genome sequence information of the layered fusarium, 12 SSR molecular markers which are different from the former and have high polymorphism and good repeatability are obtained, so that the molecular markers are very effective, and the genetic diversity of the layered fusarium and the population genetic structure of the layered fusarium can be systematically revealed.
Drawings
FIG. 1 is SSR genotype of Fusarium layering FP 03;
FIG. 2 is SSR genotype of Fusarium layering FP 08;
FIG. 3 is SSR genotype of Fusarium layering FP 13;
FIG. 4 is SSR genotype of Fusarium layering FP 21;
FIG. 5 is SSR genotype of Fusarium layering FP 24;
FIG. 6 is SSR genotype of Fusarium layering FP 26;
FIG. 7 is SSR genotype of Fusarium layering FP 31;
FIG. 8 is SSR genotype of Fusarium layering FP 32;
FIG. 9 is SSR genotype of Fusarium layering FP 35;
FIG. 10 is SSR genotype of Fusarium layering FP 43;
FIG. 11 is SSR genotype of Fusarium layering FP 48;
FIG. 12 is SSR genotype of Fusarium layering FP 51;
FIG. 13 is a UPGMA cluster map of Fusarium layering populations based on Nei's genetic distance;
FIG. 14 is a genetic block diagram of Fusarium layering populations based on a STRUCTURE analysis.
Detailed Description
For the purpose of illustrating the technical content and structural features of the fusarium SSR molecular marker in detail, the following description is made in conjunction with the embodiments and the accompanying drawings, and it is to be understood that these examples are only for illustrating the present invention and are not intended to limit the scope of the present invention.
Example 1: fusarium layering whole genome SSR scanning and primer design
In view of availability, representativeness and importance of the data, the whole genome sequence of Fusarium ET1 strain (https:// www.ncbi.nlm.nih.gov/genome/2434) is downloaded from NCBI database, the SSR sequence is searched by using SSR Hunter software, 2-6 nucleotides are selected as repeated motifs, and the number of repetitions is at least 6. SSR Primer design was performed with Primer 5 software using the detected SSR and 150bp flanking sequences upstream and downstream thereof. The general principle of primer design is: the primer length is 19-25 bp; GC content is 40% -60%; the Tm value of the annealing temperature is 52-58 ℃, and the difference between the Tm values of the upstream primer and the downstream primer is not more than 5 ℃; the PCR amplification length is 100-300 bp; primer dimers, hairpin structures, mismatches, etc. are avoided as much as possible. The synthetic primer carries a specific fluorescent label of 6-FAM (blue) or HEX (green) at the 5' end of the forward primer for amplifying the size of the target band, and the fluorescent primer is synthesized by biological engineering (Shanghai) Co., ltd.
Example 2: screening of SSR molecular markers
In the results of the above genome SSR scan and primer design, 52 pairs of SSR primers were then picked and their specificity in the genome was detected by local Blast. After pre-experiments, the fragment length of the amplified product is 100-300 bp, and the amplified product has 12 microsatellite loci with diversity and contains different simple sequence repeating units (Table 1). SSR genotypes of fusarium falcatum FP03, FP08, FP13, FP21, FP24, FP26, FP31, FP32, FP35, FP43, FP48 and FP51 are shown in fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6, fig. 7, fig. 8, fig. 9, fig. 10, fig. 11 and fig. 12, respectively. The primers of the 12 SSR sites all show polymorphism, and provide markers for analysis of genetic diversity of fusarium.
Table 1 shows 12 SSR molecular markers of Fusarium
Figure DEST_PATH_IMAGE001
Example 3: application of SSR molecular markers in genetic diversity of fusarium layering
Step 1: fusarium layering collection, separation and identification
The present example uses Fusarium layering as samples collected from 3 populations (FY 03, FY08, FY 13) in Hangzhou, zhejiang and 2 populations (NN 05, NN 12) in Guangxi nan. Fusarium is separated from the infected sample of rice spike rot. Specific primers, EF1 (5'-ATGGGTAAGGAGGACAAGAC-3') and EF2 (5'-GGAAGTACCAGTGATCATGTT-3'), were designed based on the conserved sequence of the protein translational Elongation Factor (EF) gene, and PCR amplification was performed on the strain. Sequencing the PCR amplified product, submitting the sequence in Fusarium TEF sequence database (FUSARIUM-ID v 1.0) for alignment, and finally selecting the Fusarium through sequence alignment.
Step 2: extracting layer to obtain genome DNA of Fusarium strain
Extracting the layer by adopting a modified CTAB method to obtain fusarium genome DNA.
(1) 0.2g of fusarium mycelium sample is taken, added with liquid nitrogen, fully ground into powder, and filled into a centrifuge tube.
(2) 600 μLCTAB extract (100 mM Tris-HCl,700 mMNaCl,10 mMEDTA,1% CTAB,1% beta-mercaptoethanol, pH=8) was added, mixed upside down, and placed in a 65℃water bath for 40 min, during which the centrifuge tube was turned 1 time every 10min.
(3) An equal volume (600 μl) of chloroform was added: isoamyl alcohol (24:1), and is evenly mixed by turning over, and centrifuged at 12000 rpm and 4 ℃ for 10min.
(4) The upper aqueous phase was collected and transferred to a new centrifuge tube.
(5) An equal volume of chloroform was added: isoamyl alcohol (24:1), and is evenly mixed by turning over, and centrifuged at 12000 rpm and 4 ℃ for 10min.
(6) The upper aqueous phase was collected and transferred to a new centrifuge tube.
(7) 2.5 volumes of pre-chilled isopropanol were added and centrifuged at 12000 rpm at 4℃for 10min.
(8) The supernatant was carefully decanted, 1 mL of 75% ethanol was added, and the mixture was centrifuged for 5 min and repeated twice.
(9) And (5) drying at room temperature.
(10) Adding 30 μl of sterile water, dissolving at room temperature, and preserving at-20deg.C.
Step 3: PCR amplification
The PCR reaction system is as follows: 50 ng/. Mu.L of template DNA 1. Mu.L of MgCl 25 mM 2 2.5 mu.L, 2.5 mM dNTPs 1. Mu.L, 10. Mu.M forward and reverse primers 1. Mu.L, 5. 5U/. Mu.L DNA, respectivelyTaqEnzyme 0.2. Mu.L, 10 XPCR buffer 2.5. Mu.L, deionized water was added to 25. Mu.L. The forward 5' end of the primer carries a 6-FAM (blue) or HEX (green) specific fluorescent label for amplifying the size of the target band. The PCR amplification procedure was: pre-denaturation at 98℃for 3min; denaturation at 98℃for 10s, annealing at 55℃for 20s, extension at 72℃for 30s for 35 cycles; extending at 72℃for 10min.
Step 4: SSR genotyping
The PCR amplified product was denatured after 30-fold dilution, loaded onto ABI3730XL full-automatic gene sequencer for fragment analysis, data read using software GeneMapper v3.25, and genotype was determined according to the size of the isolated fragment.
Step 5: analysis of genetic diversity
(1) Genetic diversity of SSR sites
Calculation of observed allele factors for each SSR site using POPGENE version1.32 [ ]Na) Effective allelic factors [ ]Ne) Shannon's diversity indexI) Observing heterozygosityHo) Desired heterozygosity [ ]He)。
As a result, it was found that the allele factor of 12 SSR sites [ ]Na) 4-12; effective allelic factors [ (]Ne) Between 1.484 and 3.865 (Table 2). Wherein, the allelic factors of the FP03 and FP21 loci are at most [ ]Na=12), the effective allele factor of the FP21 locus is the highest [ ]Ne=3.865). Shannon information index [ ]I) Observing the heterozygosity between 0.693 and 1.587Ho) between 0.333 and 0.836, the desired heterozygosity [ ]He) Between 0.389 and 0.857.
TABLE 2 genetic diversity of SSR loci in Fusarium on layer populations
Figure DEST_PATH_IMAGE002
(2) Fusarium layering population genetic diversity level
Observations were calculated for each population using POPGENE version1.32Allelic factors [ ]Na) Effective allelic factors [ ]Ne) Shannon's diversity indexI) Observing heterozygosityHo) Desired heterozygosity [ ]He). Average allelic factors of 5 layers of Fusarium populationNa) Effective allelic factors [ ]Ne) And Shannon's information index [ ]I) Observing heterozygosityHo) and the desired degree of heterozygosityHe) 5.07, 2.414, 1.014, 0.51 and 0.518, respectively (table 3). Wherein, NN05 population genetic diversity is most abundantNa=5.93,Ne=2.83,I= 1.21), the minimum FY03 population%Na=4.62,Ne=2.08,I=0.87)。
TABLE 3 estimation of genetic diversity of Fusarium populations
Figure DEST_PATH_IMAGE003
(3) Genetic differentiation and gene communication between Fusarium layering populations
Calculating genetic differentiation coefficient between groups by Arlequin 3.1 softwareF ST ). According toF ST =1/(4Nm+1) estimation of Gene flowNm). Genetic differentiation coefficient between two populationsF ST ) The variation range is 0.015-0.237, and the gene flow is @Nm) 0.80 to 16.42 (Table 4). The gene flow between groups of different regions from the same rich region (FY) is high (FY:Nm=16.42)。
TABLE 4 genetic differentiation coefficients between Fusarium populations @F ST Under diagonal) and gene flowNmOn the diagonal line)
Figure DEST_PATH_IMAGE004
(4) Molecular analysis of variance of Fusarium layering populations
Calculation of inter-population, inter-population individuals and individuals using molecular variance analysis of variance (AMOVA) with aleucin 3.1 softwareThe different levels of variation between the bodies are percentages of the total variation. AMOVA analysis shows that obvious genetic variation exists in the groups of 5 layers of FusariumP< 0.001) (table 5). The genetic variation among the populations accounts for 12.85% of the total variation, and the individuals among the populations account for 87.15%, which means that the genetic variation is mainly distributed among fusarium individuals.
TABLE 5 molecular variance analysis of Fusarium populations
Figure DEST_PATH_IMAGE005
(5) Genetic distance and cluster analysis between Fusarium layering populations
Between 5 populationsNeisGenetic distance [ ]D) 0.018-0.396, and genetic similarity is calculated as #I) Between 0.673 and 0.982 (Table 6). Wherein, the genetic relationship between FY13 and NN05 groups is the farthest, and the genetic distance is the largestD=0.396), the lowest genetic similarityI=0.673); and the genetic distance between FY03 and FY08 groups is minimizedD=0.018), the highest genetic similarityI=0.982), indicating that the relationship between populations is closest.
Based on 5 populationsNei’sGenetic distance, UPGMA cluster tree is constructed for the Fusarium layering group (figure 13), hangzhou groups FY03 and FY08 are clustered preferentially, and the Fusarium layering group and Hangzhou group FY13 are clustered together, and then the Fusarium layering group and the Hangzhou group are clustered with Guangxi nan Ning NN12 and NN05 groups sequentially. It can be seen that the difference between the populations in the same region is small, and the regions have a certain genetic difference.
TABLE 6 Fusarium species groupNei’sGenetic distance [ ]DUnder diagonal) and genetic similarityIOn the diagonal line)
Figure DEST_PATH_IMAGE006
(6) Genetic structural analysis of Fusarium layering populations
Inter-population genetic Structure analysis was performed using bayesian clustering with Structure V2.3.4 software, with burn-in 100 000 times and run-length 1 000 000 times of iterations, and the generated population genetic Structure was drawn with DISTRUCT software (fig. 14). Inter-individual genetic shuffling was evident from different populations, where the fusarium layering populations (NN 05, NN 12) from nanning were significantly different from the Hangzhou populations (FY 03, FY08 and FY 13), consistent with UPGMA analysis results.
The invention develops 12 SSR markers based on genome sequence information of fusarium, has the characteristics of high polymorphism and good repeatability, is a reliable and effective molecular marker, and can study genetic diversity of fusarium and genetic structure of fusarium population.
The foregoing is merely a preferred embodiment of the invention, and it should be noted that modifications could be made by those skilled in the art without departing from the principles of the invention, which modifications would also be considered to be within the scope of the invention.
Sequence listing
SEQ ID NO.1
attgtctcgctcgtcgtcaatgcaacctagatacttatggctgagctcacaagtctgaagtgacgatgaatcttatctaaagatagagtcagtgctatctttgcctttcattcacgcaacattcaacgaaaatttagtaagacagacgctTTCTTCTTCTTCTTCTTCTTCTTCTTCTTCTTCtttcattcatagataataaacgtaaaaatcggcctataaggagatagccgcgagttcgtcttgggagattgagacgacttgtaaggagtatatcaccagacactcaacaagcagcacaacttgttggcataattggtttctgttattaga
SEQ ID NO.2
tccctcgttgtaatcaacgctaccttccaccacgtatccgccttggagatacttcggagatagctctgctcgaagcgcagatctggcaaaggaggtaggtgggaatgcctgggcgccggtcggagaacgctgtaggggatgtcctcttcaTCGTCGTCGTCGTCGTCGTCGTCGTCGTCGTCGtcaattccaccatcgtgctcgtgcttgacgtgctctagggtcacaggctgtcttctctcggctgctgtgggcgggttgatatcaagagcaggatccggatggcgttcgatgctggcagcctggatagttgcggcaagctctgtgggagct
SEQ ID NO.3
tgtctccaggaaccatctatgccaactgatccagcgccactactgtacgtgcccagaagaggcgcttcacatgccgtcctgccttgatactctctaaagagtagaggaggcgacgcctgatgacgatgatggaatcgaccgaatggcaatTCATCATCATCATCATCATCATCATCATCAtcgagaggtggttttgcggcgtaggcatgtatgatatacgcaagggactcgatgttggccagccttaccataaccagctgcagcagtacgtgttgatgtctctttccacacccggaacaactccgcatagcacaaaattgcacacctcac
SEQ ID NO.4
cagatgcatagtgatcaatatcgatgtcactggcaaatacaataagtcttgataccaagaccggagacatcttgttgccgccgactccgggtctaagttaggtatttctacccctgctttcaatgccaagactcgccatctctttcagccCTTCTTCTTCTTCTTCTTCTTCTTcatagtaagaagaagaatgcccagtatctgagtatgtcactcataaggtccctgtcattcagcgagcccgtctccgtggccgttggccgcttactcccctgtcatcaatcgtcctgcgccttcggggatttctgtattaagcatattcgt
SEQ ID NO.5
tctcgagctactgggccaatgggcacagctgtaatgggaacatcaagttccgagaatggcgtaccatggcggaagctgttcctaggtgttatctccagatcaggagatcgagggctggtcttctccatctggtaagggacaaaggcgggcTGCTGTTGCTGTTGCTGTTGCTGTTGCTGTTGCTGTTGCTGTTGCTGTtgcaattgctgttgatgttgggcaaatgactgcgtgggcttcttctgagggggaggcaccgaagaagcaccaagacgggacgggggaagctggggcttcccaggaatggacagtttagggagtcggcgcagaccttggtgaggaagctgg
SEQ ID NO.6
ggtcaatactcacataataagcccatttcccagtacgagaagaaaatcaacgataaacatgacgatgagaagaattatatcaaagtgatcaaggatcgcgtctcgcagcacaagccaactcttcataatgagaagccggatcatcatcacCATCATCATCATCATCATCATCATgacaaggataatgagcatgctaagagacccaagcctcatcataaccatcaagaggctgagcaccatggggactctaagaaatcagaggactactacccttacaacaaaccgaaacaccaattcgaggagcaatctaagcacaatcacgac
SEQ ID NO.7
ctgtttgaaagaccaaagtttgtttgtcgtcacgggcaaaaaggccacgagtacaaggtctcggccgattacagtcaaatagagtaatttcaatcgatgttgaagagttggatagtcgcaatgaatacgttacaatctggaagaggttaaGGAATTGGAATTGGAATTGGAATTGGAATTGGAATTgatgcgatgacggagatataagagaatagagttatcgcgtagtgtcctactttaaatctaacgtacctatcggcagacaaaagggttaaagcacctggataagcagaacacagccgctaactccactcacctgcttcagaaactggggga
SEQ ID NO.8
gatatccaggcggcggtcaacgcgaccagtacgatgatggttatggccatcaacagggaggcaaccagcaacaacacggtggaaacactgactcctactaccaagacgatcagtactacgatcaaggctacgacaaccgtggcccaaatcACAACAACAACAACAACAACAACAaccatgatggttactacgacgaatcgtgagcatcatgtccctcctctcatagtcctttcactaacacactagtagtggttactacaacgccgaccccaataacccctaccagcaggatggaggctattacgacggccacgatcaatacca
SEQ ID NO.9
caagatttcgagaaagagatggaggatatatataatgaagagaatggtggtcctgccgattcctcaaagctttcaccgaaacgccccgatcacctacgcattccaagtattaaccatgatctagatgctgctgttgaggttgaagacgatAGCAGCAGCAGCAGCAGCAGCagtgacagtaacgcagaagtggatagtactattatcaatcaatcggaggataaggtgaaacatgagctggacgtgaccggttatggtcctgaccgttggaagactgccgagaaatccggccttgatgccggccgcgattctgttatcatc
SEQ ID NO.10
ctaggtgcggtcgagttgccaaggccttttggtgtagcggagttagttgtattgttggagccgagttctattgtctttcgagtcgagtcaggtatgatatcgtttcgatcgttctagtcgtgtctcgtcgcaatcgggtgcaaggtgtgtGCGTGAGCGTGAGCGTGAGCGTGAGCGTGAGCGTGAGCGTGAgcgtatgtgtttgtattataatatggaggtgatgatcgatgctgtaacgtaatgcaatgtgatgtgatgtgacgcttcttgggggtccgagtttctggccagatgatgataatttgtaatgctgagggctcagccggcagttccctttag
SEQ ID NO.11
tcttttcaagttttctgaagcgaacacaaagtctgttgagatgacgagtgaatacgacgcattggacaacatcatccaggatgccgttcctgggctaggatctcgaaagcaagacagaaaagggcggaacgtccaggaaggaggaagaagAGGAGCAGGAGCAGGAGCAGGAGCAGGAGCAGGAGCAGGAGCaggaagtgatggcccgtttggaaacagtcatcaaacaacaggctcgtacaaatctctggtggaacctagtgttttcaatatgagcttgttactaccgccaacgttggtcttcctgcagcgtctcaagaacatcgtccctcccggctcaga
SEQ ID NO.12
cacagcggcgttggtattgctgctttgcgactggagagcgactttgaagaggttgggtcgagatgctccatgtatactttgtgatgtggtagatgagaccatagtctacctatgtcagtgatcaagccatggcggagcggtcgcagcaaaACACACACACACACACACACACACACctttgtcttgctgtagagcttagagccgtcgccaagggcatcattctcatcgttgacggacatgcgctcgaagcgcgcctcaattgcacgggtagccattattgggagcaagggcgggatggactgttaatgttagtgaaagacgaacga
SEQ ID NO.13
TCATTCACGCAACATTC
SEQ ID NO.14
ATCTCCCAAGACGAACT
SEQ ID NO.15
TCTGGCAAAGGAGGTAGG
SEQ ID NO.16
AAGACAGCCTGTGACCCTA
SEQ ID NO.17
AGAAGAGGCGCTTCACA
SEQ ID NO.18
AACATCGAGTCCCTTGC
SEQ ID NO.19
TGCCAAGACTCGCCATCT
SEQ ID NO.20
ACGGGCTCGCTGAATGA
SEQ ID NO.21
CCATCTGGTAAGGGACAA
SEQ ID NO.22
AAGAAGCCCACGCAGTC
SEQ ID NO.23
ATAAGCCCATTTCCCAGTA
SEQ ID NO.24
ATGGTGCTCAGCCTCTT
SEQ ID NO.25
GTTGGATAGTCGCAATG
SEQ ID NO.26
GGTGCTTTAACCCTTTT
SEQ ID NO.27
CGGTGGAAACACTGACT
SEQ ID NO.28
TAATAGCCTCCATCCTG
SEQ ID NO.29
GGTCCTGCCGATTCCTC
SEQ ID NO.30
CCTCCGATTGATTGATA
SEQ ID NO.31
GGAGCCGAGTTCTATTG
SEQ ID NO.32
CGATCATCACCTCCATAT
SEQ ID NO.33
GACGCATTGGACAACAT
SEQ ID NO.34
ATCACTTCCTGCTCCTG
SEQ ID NO.35
CGTTGGTATTGCTGCTT
SEQ ID NO.36
CCGTCAACGATGAGAAT
Sequence listing
<110> China institute of Rice
<120> Fusarium layering SSR molecular marker and application thereof
<160> 36
<170> SIPOSequenceListing 1.0
<210> 1
<211> 333
<212> DNA
<213> FP03(FP03)
<400> 1
attgtctcgc tcgtcgtcaa tgcaacctag atacttatgg ctgagctcac aagtctgaag 60
tgacgatgaa tcttatctaa agatagagtc agtgctatct ttgcctttca ttcacgcaac 120
attcaacgaa aatttagtaa gacagacgct ttcttcttct tcttcttctt cttcttcttc 180
ttctttcatt catagataat aaacgtaaaa atcggcctat aaggagatag ccgcgagttc 240
gtcttgggag attgagacga cttgtaagga gtatatcacc agacactcaa caagcagcac 300
aacttgttgg cataattggt ttctgttatt aga 333
<210> 2
<211> 333
<212> DNA
<213> FP08(FP08)
<400> 2
tccctcgttg taatcaacgc taccttccac cacgtatccg ccttggagat acttcggaga 60
tagctctgct cgaagcgcag atctggcaaa ggaggtaggt gggaatgcct gggcgccggt 120
cggagaacgc tgtaggggat gtcctcttca tcgtcgtcgt cgtcgtcgtc gtcgtcgtcg 180
tcgtcaattc caccatcgtg ctcgtgcttg acgtgctcta gggtcacagg ctgtcttctc 240
tcggctgctg tgggcgggtt gatatcaaga gcaggatccg gatggcgttc gatgctggca 300
gcctggatag ttgcggcaag ctctgtggga gct 333
<210> 3
<211> 330
<212> DNA
<213> FP13(FP13)
<400> 3
tgtctccagg aaccatctat gccaactgat ccagcgccac tactgtacgt gcccagaaga 60
ggcgcttcac atgccgtcct gccttgatac tctctaaaga gtagaggagg cgacgcctga 120
tgacgatgat ggaatcgacc gaatggcaat tcatcatcat catcatcatc atcatcatca 180
tcgagaggtg gttttgcggc gtaggcatgt atgatatacg caagggactc gatgttggcc 240
agccttacca taaccagctg cagcagtacg tgttgatgtc tctttccaca cccggaacaa 300
ctccgcatag cacaaaattg cacacctcac 330
<210> 4
<211> 324
<212> DNA
<213> FP21(FP21)
<400> 4
cagatgcata gtgatcaata tcgatgtcac tggcaaatac aataagtctt gataccaaga 60
ccggagacat cttgttgccg ccgactccgg gtctaagtta ggtatttcta cccctgcttt 120
caatgccaag actcgccatc tctttcagcc cttcttcttc ttcttcttct tcttcatagt 180
aagaagaaga atgcccagta tctgagtatg tcactcataa ggtccctgtc attcagcgag 240
cccgtctccg tggccgttgg ccgcttactc ccctgtcatc aatcgtcctg cgccttcggg 300
gatttctgta ttaagcatat tcgt 324
<210> 5
<211> 348
<212> DNA
<213> FP24(FP24)
<400> 5
tctcgagcta ctgggccaat gggcacagct gtaatgggaa catcaagttc cgagaatggc 60
gtaccatggc ggaagctgtt cctaggtgtt atctccagat caggagatcg agggctggtc 120
ttctccatct ggtaagggac aaaggcgggc tgctgttgct gttgctgttg ctgttgctgt 180
tgctgttgct gttgctgttg caattgctgt tgatgttggg caaatgactg cgtgggcttc 240
ttctgagggg gaggcaccga agaagcacca agacgggacg ggggaagctg gggcttccca 300
ggaatggaca gtttagggag tcggcgcaga ccttggtgag gaagctgg 348
<210> 6
<211> 324
<212> DNA
<213> FP26(FP26)
<400> 6
ggtcaatact cacataataa gcccatttcc cagtacgaga agaaaatcaa cgataaacat 60
gacgatgaga agaattatat caaagtgatc aaggatcgcg tctcgcagca caagccaact 120
cttcataatg agaagccgga tcatcatcac catcatcatc atcatcatca tcatgacaag 180
gataatgagc atgctaagag acccaagcct catcataacc atcaagaggc tgagcaccat 240
ggggactcta agaaatcaga ggactactac ccttacaaca aaccgaaaca ccaattcgag 300
gagcaatcta agcacaatca cgac 324
<210> 7
<211> 336
<212> DNA
<213> FP31(FP31)
<400> 7
ctgtttgaaa gaccaaagtt tgtttgtcgt cacgggcaaa aaggccacga gtacaaggtc 60
tcggccgatt acagtcaaat agagtaattt caatcgatgt tgaagagttg gatagtcgca 120
atgaatacgt tacaatctgg aagaggttaa ggaattggaa ttggaattgg aattggaatt 180
ggaattgatg cgatgacgga gatataagag aatagagtta tcgcgtagtg tcctacttta 240
aatctaacgt acctatcggc agacaaaagg gttaaagcac ctggataagc agaacacagc 300
cgctaactcc actcacctgc ttcagaaact ggggga 336
<210> 8
<211> 324
<212> DNA
<213> FP32(FP32)
<400> 8
gatatccagg cggcggtcaa cgcgaccagt acgatgatgg ttatggccat caacagggag 60
gcaaccagca acaacacggt ggaaacactg actcctacta ccaagacgat cagtactacg 120
atcaaggcta cgacaaccgt ggcccaaatc acaacaacaa caacaacaac aacaaccatg 180
atggttacta cgacgaatcg tgagcatcat gtccctcctc tcatagtcct ttcactaaca 240
cactagtagt ggttactaca acgccgaccc caataacccc taccagcagg atggaggcta 300
ttacgacggc cacgatcaat acca 324
<210> 9
<211> 321
<212> DNA
<213> FP35(FP35)
<400> 9
caagatttcg agaaagagat ggaggatata tataatgaag agaatggtgg tcctgccgat 60
tcctcaaagc tttcaccgaa acgccccgat cacctacgca ttccaagtat taaccatgat 120
ctagatgctg ctgttgaggt tgaagacgat agcagcagca gcagcagcag cagtgacagt 180
aacgcagaag tggatagtac tattatcaat caatcggagg ataaggtgaa acatgagctg 240
gacgtgaccg gttatggtcc tgaccgttgg aagactgccg agaaatccgg ccttgatgcc 300
ggccgcgatt ctgttatcat c 321
<210> 10
<211> 342
<212> DNA
<213> FP43(FP43)
<400> 10
ctaggtgcgg tcgagttgcc aaggcctttt ggtgtagcgg agttagttgt attgttggag 60
ccgagttcta ttgtctttcg agtcgagtca ggtatgatat cgtttcgatc gttctagtcg 120
tgtctcgtcg caatcgggtg caaggtgtgt gcgtgagcgt gagcgtgagc gtgagcgtga 180
gcgtgagcgt gagcgtatgt gtttgtatta taatatggag gtgatgatcg atgctgtaac 240
gtaatgcaat gtgatgtgat gtgacgcttc ttgggggtcc gagtttctgg ccagatgatg 300
ataatttgta atgctgaggg ctcagccggc agttcccttt ag 342
<210> 11
<211> 342
<212> DNA
<213> FP48(FP48)
<400> 11
tcttttcaag ttttctgaag cgaacacaaa gtctgttgag atgacgagtg aatacgacgc 60
attggacaac atcatccagg atgccgttcc tgggctagga tctcgaaagc aagacagaaa 120
agggcggaac gtccaggaag gaggaagaag aggagcagga gcaggagcag gagcaggagc 180
aggagcagga gcaggaagtg atggcccgtt tggaaacagt catcaaacaa caggctcgta 240
caaatctctg gtggaaccta gtgttttcaa tatgagcttg ttactaccgc caacgttggt 300
cttcctgcag cgtctcaaga acatcgtccc tcccggctca ga 342
<210> 12
<211> 326
<212> DNA
<213> FP51(FP51)
<400> 12
cacagcggcg ttggtattgc tgctttgcga ctggagagcg actttgaaga ggttgggtcg 60
agatgctcca tgtatacttt gtgatgtggt agatgagacc atagtctacc tatgtcagtg 120
atcaagccat ggcggagcgg tcgcagcaaa acacacacac acacacacac acacaccttt 180
gtcttgctgt agagcttaga gccgtcgcca agggcatcat tctcatcgtt gacggacatg 240
cgctcgaagc gcgcctcaat tgcacgggta gccattattg ggagcaaggg cgggatggac 300
tgttaatgtt agtgaaagac gaacga 326
<210> 13
<211> 17
<212> DNA
<213> FP03 Forward primer (FP 03 forward primer)
<400> 13
tcattcacgc aacattc 17
<210> 14
<211> 17
<212> DNA
<213> FP03 reverse primer (FP 03 reverse primer)
<400> 14
atctcccaag acgaact 17
<210> 15
<211> 18
<212> DNA
<213> FP08 forward primer (FP 08 forward primer)
<400> 15
tctggcaaag gaggtagg 18
<210> 16
<211> 19
<212> DNA
<213> FP08 reverse primer (FP 08 reverse primer)
<400> 16
aagacagcct gtgacccta 19
<210> 17
<211> 17
<212> DNA
<213> FP13 forward primer (FP 13 forward primer)
<400> 17
agaagaggcg cttcaca 17
<210> 18
<211> 17
<212> DNA
<213> FP13 reverse primer (FP 13 reverse primer)
<400> 18
aacatcgagt cccttgc 17
<210> 19
<211> 18
<212> DNA
<213> FP21 forward primer (FP 21 forward primer)
<400> 19
tgccaagact cgccatct 18
<210> 20
<211> 17
<212> DNA
<213> FP21 reverse primer (FP 21 reverse primer)
<400> 20
acgggctcgc tgaatga 17
<210> 21
<211> 18
<212> DNA
<213> FP24 forward primer (FP 24 forward primer)
<400> 21
ccatctggta agggacaa 18
<210> 22
<211> 17
<212> DNA
<213> FP24 reverse primer (FP 24 reverse primer)
<400> 22
aagaagccca cgcagtc 17
<210> 23
<211> 19
<212> DNA
<213> FP26 forward primer (FP 26 forward primer)
<400> 23
ataagcccat ttcccagta 19
<210> 24
<211> 17
<212> DNA
<213> FP26 reverse primer (FP 26 reverse primer)
<400> 24
atggtgctca gcctctt 17
<210> 25
<211> 17
<212> DNA
<213> FP31 forward primer (FP 31 forward primer)
<400> 25
gttggatagt cgcaatg 17
<210> 26
<211> 17
<212> DNA
<213> FP31 reverse primer (FP 31 reverse primer)
<400> 26
ggtgctttaa ccctttt 17
<210> 27
<211> 17
<212> DNA
<213> FP32 forward primer (FP 32 forward primer)
<400> 27
cggtggaaac actgact 17
<210> 28
<211> 17
<212> DNA
<213> FP32 reverse primer (FP 32 reverse primer)
<400> 28
taatagcctc catcctg 17
<210> 29
<211> 17
<212> DNA
<213> FP35 forward primer (FP 35 forward primer)
<400> 29
ggtcctgccg attcctc 17
<210> 30
<211> 17
<212> DNA
<213> FP35 reverse primer (FP 35 reverse primer)
<400> 30
cctccgattg attgata 17
<210> 31
<211> 17
<212> DNA
<213> FP43 forward primer (FP 43 forward primer)
<400> 31
ggagccgagt tctattg 17
<210> 32
<211> 18
<212> DNA
<213> FP43 reverse primer (FP 43 reverse primer)
<400> 32
cgatcatcac ctccatat 18
<210> 33
<211> 17
<212> DNA
<213> FP48 forward primer (FP 48 forward primer)
<400> 33
gacgcattgg acaacat 17
<210> 34
<211> 17
<212> DNA
<213> FP48 reverse primer (FP 48 reverse primer)
<400> 34
atcacttcct gctcctg 17
<210> 35
<211> 17
<212> DNA
<213> FP51 forward primer (FP 51 forward primer)
<400> 35
cgttggtatt gctgctt 17
<210> 36
<211> 17
<212> DNA
<213> FP51 reverse primer (FP 51 reverse primer)
<400> 36
ccgtcaacga tgagaat 17

Claims (6)

1. The fusarium SSR molecular marker is characterized by comprising 12 SSR molecular markers which are rich in polymorphism and contain different simple sequence repeating units, and specifically comprises FP03, wherein the nucleotide sequence of the SSR molecular marker is SEQ ID NO.1; FP08, nucleotide sequence of SEQ ID NO.2; FP13 with the nucleotide sequence of SEQ ID NO.3; FP21 with the nucleotide sequence of SEQ ID NO.4; FP24 with the nucleotide sequence of SEQ ID NO.5; FP26 with the nucleotide sequence of SEQ ID NO.6; FP31 with the nucleotide sequence of SEQ ID NO.7; FP32 with the nucleotide sequence of SEQ ID NO.8; FP35 with the nucleotide sequence of SEQ ID NO.9; FP43 with the nucleotide sequence of SEQ ID NO.10; FP48 with the nucleotide sequence of SEQ ID NO.11; FP51 has the nucleotide sequence of SEQ ID NO.12.
2. The fusarium layered SSR molecular marker of claim 1, wherein the 12 pairs of primers for amplifying the 12 SSR molecular markers comprising different simple sequence repeat units comprise: the nucleotide sequences of the primers of the amplified FP03 are SEQ ID NO.13 and SEQ ID NO.14, the nucleotide sequences of the primers of the amplified FP08 are SEQ ID NO.15 and SEQ ID NO.16, the nucleotide sequences of the primers of the amplified FP13 are SEQ ID NO.17 and SEQ ID NO.18, the nucleotide sequences of the primers of the amplified FP21 are SEQ ID NO.19 and SEQ ID NO.20, the nucleotide sequences of the primers of the amplified FP24 are SEQ ID NO.21 and SEQ ID NO.22, the nucleotide sequences of the primers of the amplified FP26 are SEQ ID NO.23 and SEQ ID NO.24, the nucleotide sequences of the primers of the amplified FP31 are SEQ ID NO.25 and SEQ ID NO.26, the nucleotide sequences of the primers of the amplified FP32 are SEQ ID NO.27 and SEQ ID NO.28, the nucleotide sequences of the primers of the amplified FP35 are SEQ ID NO.29 and SEQ ID NO.30, the nucleotide sequences of the primers of the amplified FP43 are SEQ ID NO.31 and SEQ ID NO.32, the nucleotide sequences of the primers of the amplified FP48 are SEQ ID NO.33 and SEQ ID NO.34, and the nucleotide sequences of the primers of the amplified FP51 are SEQ ID NO.35 and SEQ ID NO.36.
3. Use of an SSR molecular marker according to claim 1 or 2 in analysis of genetic diversity of fusarium layering.
4. Use of an SSR molecular marker according to claim 3 in the analysis of genetic diversity of fusarium layering, comprising the steps of:
(1) Collecting, separating and identifying fusarium;
(2) Extracting the genome DNA of fusarium strains from the layer;
(3) Performing PCR amplification on the genome DNA obtained in the step (2) to obtain a PCR amplification product;
(4) SSR genotyping: diluting the PCR amplification product obtained in the step (3) by 30 times, then carrying out denaturation, loading the sample to a full-automatic gene sequencer for fragment analysis, reading data by using software GeneMapper v3.25, and determining the genotype according to the size of the separated fragment;
(5) Analysis of genetic diversity.
5. The use of SSR molecular markers according to claim 4 in genetic diversity analysis of fusarium layering, wherein the PCR reaction system in step (3) is: 50 ng/. Mu.L of template DNA 1. Mu.L, mgCl 2.5. Mu.L of 25 mM, 2.5 mM dNTPs 1. Mu.L, 10. Mu.M forward and reverse primers each 1. Mu.L, 5U/. Mu.L of DNA Taq enzyme 0.2. Mu.L, 10 XPCR buffer 2.5. Mu.L, deionized water to 25. Mu.L, the forward 5' end of the primers carrying a blue 6-FAM or green HEX specific fluorescent label for amplifying the size of the band of interest, the PCR amplification procedure being: pre-denaturation at 98℃for 3min, denaturation at 98℃for 10s, annealing at 55℃for 20s, extension at 72℃for 30s, total of 35 cycles, extension at 72℃for 10min.
6. The use of SSR molecular markers according to claim 4 for genetic diversity analysis of fusarium, wherein the method of genetic diversity analysis in step (5) comprises the steps of: the method comprises the steps of calculating and observing an allelic factor Na, an effective allelic factor Ne, shannon's diversity index I, an observed heterozygosity Ho, an expected heterozygosity He, an inter-population Nei's genetic distance D and a genetic similarity I by using POPGENE version1.32, calculating the percentage of total variation occupied by different variation levels among individuals in the population, the population and the individuals by using Alequin3.1 software, calculating the statistical variance component and the contribution rate, clearly causing the main source of the total variation of the population, calculating the genetic differentiation coefficient FST among the populations, estimating a gene flow Nm according to FST=1/(4Nm+1), constructing a non-weighted group average method UPGMA cluster map of the population based on the Nei's genetic distance, carrying out inter-population genetic Structure analysis by using a Bayesian cluster method of Structure V2.3.4 software, and drawing a generated population genetic Structure diagram by using DISTRUCT software.
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