CN110885839B - Corn arsenic stress resistance gene ZmASR1, and primer, coding product, linkage SNP and application thereof - Google Patents
Corn arsenic stress resistance gene ZmASR1, and primer, coding product, linkage SNP and application thereof Download PDFInfo
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Abstract
The invention belongs to the technical field of corn genetic breeding, and particularly relates to a corn arsenic stress resistance gene ZmASR1, and a primer, an expression product, a linkage SNP and application thereof. The arsenic stress resistance gene ZmASR1 of the corn can be used for breeding practice for improving the heavy metal stress resistance of the corn and improving the quality of the corn.
Description
Technical Field
The invention belongs to the technical field of corn genetic breeding, and particularly relates to a corn arsenic stress resistance gene ZmASR1, and a primer, a coding product, a linkage SNP and application thereof.
Background
Soil heavy metal and metalloid pollution, such as metal processing, mining, sewage irrigation, and the use of herbicides and fertilizers, has become a worldwide environmental problem due to human activities. Arsenic is a toxic metal and has been classified as a class I carcinogen. Studies have reported arsenic concentrations below 10 mg/kg in soils, and as high as 17,400 mg/kg in some mining contaminated soils. Since heavy metals in soil can be absorbed and accumulated by plant bodies and enter human bodies through the food chain, high levels of arsenic content may pose a significant risk to human health. Studies have shown that arsenic contaminated wheat, whether adult or children, increases the risk of cancer disease. Eating rice planted in arsenic-rich or other heavy metal contaminated soil can seriously affect the heavy metal content of blood. In addition, high arsenic concentrations can adversely affect plant growth, such as by causing lateral root damage and inhibiting water uptake, which in turn reduces crop yield. Higher arsenic content also affects important processes related to plant metabolism, such as photosynthesis, transpiration, respiration, chlorophyll synthesis, and nucleic acid synthesis, thereby inhibiting plant growth.
In view of the risk of arsenic to plant growth and the potential risk to human health, it is necessary to study the genetic mechanisms of arsenic accumulation and tolerance in plants to reduce their deleterious effects on plants and to reduce their risk to human health. In previous studies, relevant quantitative trait loci for arsenic accumulation and arsenic tolerance have been mapped in different populations of rice. In addition, various genes involved in arsenic accumulation have also been reported in different species, for example, in tobacco, overexpression of the phytochelatin synthase 1 gene of Arabidopsis thaliana can increase the arsenic content in roots. The over-expression of two corresponding arsenic-related genes encoding the corresponding glutaredoxin can reduce the accumulation of arsenic in arabidopsis thaliana, thereby improving the tolerance of arabidopsis thaliana to arsenic; in addition, the arsenite content can be significantly reduced in yeast by maintaining glutathione content and modulating aquaporins. In rice, gene editing CRT transmitters are also important for glutathione balance and arsenic tolerance. It has been reported that the inositol translation gene of Arabidopsis can not only increase the arsenic content of Saccharomyces cerevisiae, but also regulate the arsenic content in Arabidopsis seeds.
The arsenic stress resistance gene of the corn is not reported, so that the basis is laid for the application practice of heavy metal stress tolerance breeding of the corn, and the gene related to the arsenic stress resistance of the corn needs to be excavated.
Disclosure of Invention
One of the purposes of the invention is to provide a corn arsenic stress resistance gene ZmASR1, and the nucleotide sequence of the gene ZmASR1 is shown as SEQ ID NO. 1.
The invention also aims to provide a coding product of the corn arsenic stress resistance gene ZmASR1, and the amino sequence of the coding product is shown as SEQ ID NO. 2.
The invention also aims to provide a primer for amplifying the arsenic stress resistance gene ZmASR1 of the corn, wherein the nucleotide sequence of an upstream primer is shown as SEQ ID NO.3, and the nucleotide sequence of a downstream primer is shown as SEQ ID NO. 4.
The fourth purpose of the invention is to provide a linkage SNP marker of the corn arsenic stress resistance gene ZmASR1, and the nucleotide sequence of the SNP marker is shown as SEQ ID NO. 5.
The fifth purpose of the invention is to provide primers for tracking and identifying the SNP markers, wherein in the primer pair, the nucleotide sequence of an upstream primer is shown as SEQ ID NO.6, and the nucleotide sequence of a downstream primer is shown as SEQ ID NO. 7.
The invention also aims to provide application of the corn arsenic stress resistance gene ZmASR1 in corn genetic breeding.
The seventh purpose of the invention is to provide the application of the intramolecular SNP marker of the maize arsenic stress resistance gene ZmASR1 in maize genetic breeding.
Compared with the prior art, the invention has the beneficial technical effects that:
1. the invention clones the gene ZmASR1 for regulating and controlling the arsenic stress resistance of the corn, discovers the DNA sequence, CDS sequence and coding protein sequence thereof, and lays a foundation for the application practice of heavy metal stress tolerance breeding of the corn.
2. The maize arsenic stress resistance gene ZmASR1 intramolecular SNP marker can be used for tracking and identifying a maize arsenic stress resistance gene ZmASR1, and is suitable for tracking and identifying maize heavy metal stress tolerance field breeding.
3. The method for identifying and cloning the arsenic stress resistance gene ZmASR1 of the corn and applying the arsenic stress resistance gene ZmASR1 to corn breeding practice can be popularized and applied to identification, cloning and breeding application of other heavy metal stress related genes.
Drawings
FIG. 1 is a Q-Q Plot generated from genome-wide association studies of arsenic content in 4 tissues from different sites using three methods (Q model, K model and Q + K model).
FIG. 2 is a Manhattan plot of arsenic content in 4 different tissues at different sites.
FIG. 3 shows SNP information.
FIG. 4 is a partial result presented using the dCaps Finder 2.0 software (Output option).
FIG. 5 illustrates the use of dcaps markers in the natural population.
Detailed Description
The present invention is described in detail below with reference to specific examples, but it should be understood that the scope of the present invention is not limited by the specific examples. The following examples are generally conducted under conventional conditions, and the materials are commercially available as the materials, and the steps thereof will not be described in detail since they do not relate to the invention.
Example 1
Discovery of arsenic stress resistance gene ZmASR1 of corn
The material used in this study was 350 parts of a related group (a gift from professor building Yangtze university of agriculture in Huazhong) composed of representative inbred lines of maize, of which 151 parts were from temperate regions and 79 parts were from tropical and subtropical regions, and were planted in Yong City (YC) and Yuanyang Henan agriculture university base (YY) in Henan, China in 2017, and the related group was designed in a completely random block set at each site and repeated three times. Each plot has a row length of 3 m, a plant spacing of 0.22 m, a row spacing of 0.67 m, and a final planting density of 67500 plants/ha.
Harvesting the mature fruit ears of the related population to determine the accumulation and distribution of arsenic in bracts and ear stalks. The cob and the bract of each inbred line are collected together and naturally dried under each environment, and the dried cob and the dried bract are firstly ground into fine powder by a grinding machine. The determination of the arsenic content of the sample is completed by the following steps:
1. Sample digestion: 0.2025g (+ -0.0025 g) of the ground corn tissue sample was weighed into a digestion tube, 8ml of superior pure nitric acid was added, and the tube was covered and soaked overnight. The digestion tube containing the sample was placed in a microwave digestion apparatus (model: MAS6) with a temperature gradient of 55 deg.C, 75 deg.C, 95 deg.C, each temperature was maintained for 30 min. And after complete digestion and cooling, taking out the sample (the completely digested sample is clear and transparent), adding deionized water into the sample, fixing the volume to a 50ml volumetric flask, and collecting 15ml of sample stock solution to be tested after filtering.
2. Sample dilution: 2ml of sample stock solution is taken in a centrifuge tube, 1ml of deionized water, 0.8ml of sulfur antibody (a mixed solution of thiourea and ascorbic acid) and 0.2ml of concentrated hydrochloric acid are added, and the final sample is 4 ml.
3. And (3) measuring the arsenic content: opening a double-channel atomic fluorescence spectrophotometer (AFS-3000), setting an arsenic element channel, preheating for 30min, preparing standard solutions with concentration gradients of 1 mug/L, 3 mug/L, 5 mug/L, 7 mug/L and 10 mug/L, and drawing a standard curve, wherein the curve fitting degree is more than or equal to 0.999, and the fluorescence intensity is preferably 1000< IF < 4000. After the sample is ready, the arsenic content in the diluted sample is measured, and each sample is measured in parallel for three times to obtain the original concentration. And finally, according to a formula: final concentration (original concentration × dilution times × volume 0.0001)/weighed mass 1000. Each sample was measured in triplicate, with the average of triplicates being the final result. Specifically, the arsenic concentration was first calculated for each tissue, then the arsenic concentration in each tissue was averaged for each material, and the mean of these three replicates was used for GWAS analysis to detect significant sites/SNP sites. The phenotypic data was also analyzed for two-way anova using IBM SPSS software. The repetitive force was calculated according to the method developed by Knapp (1986).
The repetitive force (W2) of arsenic content of each tissue for two environments is calculated as follows:
in the above formula, σ 2G represents genotype variance, σ 2GE represents genotype × environmental variance, σ 2e represents error variance, n represents the number of environments, and r represents the number of repetitions. Estimates of σ 2G, σ 2GE, and σ 2e were obtained by analysis of variance of the lmer function in the lme4 software package for the R language.
Optimal Linear unbiased prediction (BLUP) is performed by a hybrid linear model of the lem4[25] software package for the R language, the equation is as follows:
Y＝(1|LINE)+(1|ENV)+(1|REP％in％LINE:ENV)+(1|LINE:ENV)
where Y is the phenotypic data, parenthesis indicates the random effect, ' 1 ' indicates the group, ': ' means interaction. LINE represents a material; ENV represents environments, each a combination of year and place; PEP is the number of repetitions per environment, i.e. the combination of year and place. The main purpose of the BLUP value is to reduce the predicted phenotypic bias caused by data imbalances between environments. Finally, BLUP data of arsenic concentrations in cob and bract tissues at two sites was also used for genome-wide association studies. Pearson correlation coefficients for arsenic content in both tissues were calculated by SPSS software (v 13.0).
By integrating several genotyping platforms (including Illumina Maize NP50 Beadchip, RNA sequencing, Affymetrix Axiom Maize 600K DNA chip and GBS genotyping), a total of 55 million SNPs (http:// www.maizego.org/resources. html) with allele frequency greater than 0.05 (MAF ≧ 0.05) were finally obtained. Because of the different sensitivities of different traits to different models, in order to test the optimal GWAS model, GWAS analysis was performed on two tissues, namely cob and bract, of the integrated environment of moncheng, yang and two sites using three models, namely Q (considering only population structure), K (considering only kinship) and Q + K (considering both population structure and kinship) in TASSEL 3.0 software to determine whether the genotype and phenotype are statistically significantly correlated. Meanwhile, considering that many SNPs are in a highly linkage disequilibrium state, the number of effective markers of the set of markers has been calculated in earlier studies using GEC software, which gave a suggested P value of 2.04X 10-6 (1/number of effective markers), which was used as a threshold value for controlling the whole genome type I error rate. The P value for each SNP obtained by the TASSEL 3.0 software was used to construct a QQ-plot (Quantille-Quantile plot) of arsenic content in cob and bract tissues, as shown in FIG. 1, and a Manhattan plot (Manhattan plot), as shown in FIG. 2.
A maize gene list was downloaded from the MaizeGDB database (http:// www.maizegdb.org) based on maize B73 reference genomic sequence (RefGen _ v2) for identification of possible candidate genes within each site. The function of the candidate genes was annotated according to the InterProScan website (http:// www.ebi.ac.uk/interpro/scan. html). Previous studies have evaluated the LD of this population using 55 ten thousand SNPs, and found that when r is2When the average attenuation distance is 0.1, the average attenuation distance of the whole genome is 50kb, so that 50kb upstream and downstream of the peak snp (peak snp) are defined, and the total 100kb interval is a confidence interval of the arsenic stress response gene. There are 4 candidate genes within this confidence interval, where the homologous gene of gene ID GRMZM2G028521 in model plant arabidopsis thaliana was reported to encode citrate transporter proteins that are synergistically related to As, expressed primarily in the roots, and function to transport heavy metal arsenic As-citrate to the ground. The corn homologous gene is presumed to have similar arsenic stress response and resistance functions and is named ZmASR1, the base sequence characteristic of the corn homologous gene with the length of 1671bp is shown in SEQ ID NO.1, and the characteristic of the corn homologous gene coding 556 amino acid sequences is shown in SEQ ID NO. 2. The ZmASR1 has the nucleotide sequence of the upstream primer shown in SEQ ID No.3 and the nucleotide sequence of the downstream primer shown in SEQ ID No. 4.
Example 2
Development of maize arsenic stress resistance gene ZmASR1 intramolecular SNP marker
dCAPS tags were designed using dCAPS Finder 2.0(http:// helix. wustl. edu/dCAPS. html). Inputting two types of sequences which are the same except SNP respectively,
the sequence is as follows:
5 '-CATATTCACTGCTGATCTTTTTCTG (C/T) GGGATGTTTATCACTGTTGATGGC-3' as shown in SEQ ID NO. 5. The SNP is located in the middle of the sequence, and about 25nt bases are located on both sides of the sequence. The third input box enters the number of allowed mismatched bases "1" and the run is submitted with the result that the reference primer appears as shown in FIG. 4.
As shown in FIG. 5, when the 1 st base G on the right side of the downstream primer containing the SNP site is replaced by T, the cleavage recognition site CTGCAG of Pst I appears in the arsenic stress resistant material, and the primer is selected as the downstream primer of the SNP marker, and the nucleotide sequence is shown as SEQ ID NO. 7.
dCAPS Finder 2.0 only designs the downstream primer (as shown in FIG. 4), and the upstream primer is designed by using primer 3.0(http:// primer3.ut. ee /), and the nucleotide sequence is shown in SEQ ID NO. 6.
Example 3
Application of corn arsenic stress resistance gene ZmASR1 in corn heavy metal stress resistance and quality improvement breeding
Amplifying the DNA of the natural corn colony by using a dCAPS label, wherein the reaction system is as follows: the upstream and downstream primers were 0.5. mu.l each, the sequence is shown in SEQ ID NO.6-7, 2 XTaq Master Mix 5. mu.l, DNA template 1. mu.l, supplemented to 10. mu.l with ddH2O, reaction sequence Table 1.
TABLE 1 reaction procedure
Then, the PCR product was digested with Pst I, which is shown in Table 2. The detection result is shown in FIG. 4 by 4% agarose electrophoresis. By utilizing the developed dCAPS marker, the maize inbred line with high/low arsenic content can be distinguished.
TABLE 2 reaction System
The agarose gel electrophoresis distribution of the digested Pst I in natural population is shown in FIG. 5, 1-24 represent different inbred lines, wherein lanes 1-12 are arsenic-sensitive inbred lines and show banding patterns 1 ( lanes 7, 10 and 11 are not amplified); lanes 13-24 are arsenic-resistant inbred lines, shown as band type 2 (lane 23 without amplification). This result demonstrates that we can use the band pattern (band pattern 1 or band pattern 2) displayed by this dCAPs marker to distinguish arsenic-resistant materials from arsenic-sensitive materials in the natural population; meanwhile, the marker can be used as a foreground selection marker to track the arsenic stress resistance gene, so that a usable molecular marker is provided for the arsenic stress resistance breeding of the corn.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Sequence listing
<110> Henan university of agriculture
<120> arsenic stress resistance gene ZmASR1 of corn, and primer, coding product, linkage SNP and application thereof
<160> 7
<170> SIPOSequenceListing 1.0
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ctcactttgg attttggatg aactcgctaa tgaactaata tattcgatta gttgatggaa 60
caactaatat agttagctag actattagcc agagatattt tgatgtttcc agctaaaagc 120
agttaatagc tgaatcaata gccagtcttt ttgaatgtca ctatcatatc cacagaacca 180
atactgtagc tacgaagcta cataatatat cctacttata ttacactgac gagaacgtgt 240
cgagcaggag tggtgctggg gcccaataaa gaaaatgccc aatacccccc ttttcttttg 300
ccatgagact gacggccgcc ccctctagct agttttgtcg ctcaacggaa ccgcacgcgt 360
tttctttttc ttggatgcca agaaagatct atataactgt gctgggcaca gcagttaagc 420
gcaagcccaa gcccccacgc gcaaaatcca aaaaaaaaaa aaacatcaga gccatcgaaa 480
tcacggttcc gtctctctaa ccgaagaagc tccctcacga atcgaatcac atgaatcacc 540
acgcgggaga ggaaaaagtg ctaggtgtac ataaacctgg ccattagttt cgcaacgtta 600
atggtaacgg taatggttca cactcgataa ccaacggtaa caagattgaa tataccaata 660
tcaatttcta gtatgatatc caattacggt tagacttaaa taaacaagat ttaatcttat 720
cggttaaata tgtgaaccaa acaacaccta aaacttttat actccagtac tagacagttg 780
caacctgcat atatttattc gaaaagaaaa catgattcag caaacagaca aattctctgt 840
gacataagaa aaaaaccgtc caactttttt accatccaga aaacgggagc tctaccagtg 900
tgccgggtgc gcctggtaaa ttacgggcgt ccatgcatgg agccccaccc ccacctccat 960
gtaggaccca cgcccaagtg accccaccac atacccgtga atgaaaggaa gactgaaaag 1020
cagagttcct gccatgttcc ccgtccccac acgctcacgc ggctcccatg gtgcacaccc 1080
acggccacgg gccatagcga caccccccgc ggcccgccta tttagccgcc cccacccaca 1140
tcgcggcggg gtctccatgc ctccagtgtc cagtccagag tccaggctcc aggactacca 1200
ccactccgtc tcgtctcgtc ctcacacccc actccaccac cacctctgcc ttgcaaagct 1260
ttccaccgat ccgccgcctc gtccgcgcgc tcgcaggcag cagtgtggac tacccgcccc 1320
atactccatc ccctactcga aggatacacc gtgagtaggc gtgatggtgc ttgatacccc 1380
gttttcgtgc agcttgttgc taattcgttt tagtttgagg gatcaagaac caccttgttc 1440
tttctttctt tcttttttgg actatgatga atcattgcaa atctcttgaa tacatttttc 1500
actataaaat actgccttgc ctttgagctc cttggttcac gtgcaatgtt tctttgccct 1560
ccgattttgc aggacctcga gttattaagt tgggcgagga gaggtggttc attccagcag 1620
ggatccttct cgtgagccca gtcgatctga ccgtccttgg tatctggggg gggttgttct 1680
gtactctctc tttaatttgt gagtcgtgac aggttcttga agtgcaattg ttaagagttt 1740
tagttgtaga ggaagagaag ggtttgctaa tatggcgttg gcagggacct ccaaagtagt 1800
gctgggatgt atcgcctttg ggattttctg ggtgatggcc gtcttcccca ccgtcccgtt 1860
catgcctgtt gggcggacgg ctgggtccct ccttggtgct atgctaatgg tcctgttccg 1920
cgtcatctcc ccggaggacg cgtacgccgc gattgacctc ccgatcatcg gcctgctctt 1980
cgggacaatg gtcgtcagca tcttccttga gagggctgac atgtttaagt acctcgggaa 2040
cctgctctcg tggaagagca gaggcagcaa ggacctgctc ttccgagtct gcatcgtgtc 2100
cgcgtttgcc agcgcgcttt tcaccaatga cacatgctgt gttgtcctca ccgagttcat 2160
cctcaaggtt gctaggcaaa acaacctgcc accacagcct ttccttctgg cccttgccac 2220
tagttcgaac atcggctctg ctgccacgcc gatcggcaac cctcagaacc ttgtcatagc 2280
tgtcgagagt gggatctcat ttggccagtt cttgctggga gttttcccag ctatgatcgt 2340
tggggttctc acaaacgctg ctatcctcct tttgtacttc tggaaatact tgtcggtgga 2400
gaaggatcag gagggtgggc agcccacagg accagaggtg gttgccgacg atgaggttac 2460
ttcccatcgg ttcacaccgg ctagaatgtc acatgtttct tctctgaatc cagatgacat 2520
ggattgcgta agcgaaccga tcatcaggag caacagtgtc agtactactg ggaatgagaa 2580
cctgagaagc agaagcatca attctgaggc tgacattcag cttgcgatca agtctctgcg 2640
ggcatcaagc atgtcgcatg agatggtaga ggtctcgacg gttcctgatc ggagagatga 2700
aggtgcatcc tcaaggaagt tcacaaggac tgctagccag caaaggagcg tgataataga 2760
ggatttagca ccctccccag agattaatgg ggaaaaggag aaagaaactg aagttgcaga 2820
gaagagatgg aaagtacttg tgtggaagac tgctgtttat cttatcactc tcggtatgct 2880
cattgcactt ctaatgggac tgaacatgtc ctggactgca atcactgcag ctcttgttct 2940
tctggcactc gattttacgg acgcacaagc ttgtcttgag aaggtgtcat attcactgct 3000
gatctttttc tgcgggatgt ttatcactgt tgatggcttc aacaaaacgg gcataccgaa 3060
cacactatgg gagttagtgg aaccatattc acgaatcgat agtgcgaaag gtgttgcact 3120
tcttgccgtg gtgattctta tcctttcaaa cgtggcctct aatgttccta cagtcctatt 3180
gctcggtaca agagtggctg catcagcggc ttcgatttct catggttcag agaggaaagc 3240
ctggctcatc cttgcatggg tcagcaccgt ggctgggaac ctcaccctcc taggctctgc 3300
ggcgaatctg attgtctgcg agcaggccag gcgggcccag ttcttcggct acaacctcac 3360
cttctggagc cacctccgat tcggggtccc gtcgaccatc atcgtcacgg cgattggttt 3420
gctcatcgtc atcagttact gaaacagctg aaggcagaag agcgtagtgt aagagaagca 3480
gaatggataa aaatccttcc aataagaagt acatgtaaat taggcttgcc ctataactca 3540
agtgtgtatc ggtacgttat gtctccgtct gtgctcttgc tcgtgagcaa gcagcacatg 3600
gctgaccgtg tagcttgcat ttccattgca taataggctt atgaagaatg ctttggtaat 3660
atgattttac agtctgacaa ggattgtgaa gcagaggcag tgtaccatca agataatact 3720
tctggaagca tataaaaaaa tttcgtatat ttggatttca aatccagtct gcttcagact 3780
ggaaattcat attatcttct ggaatcgtgc tttattgtca gaaacatggg ctaaaattgg 3840
aaagtccgtc atttattggg cttgcaatgg gacaaccttt tgggtctgtt atatatcact 3900
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Met Ala Leu Ala Gly Thr Ser Lys Val Val Leu Gly Cys Ile Ala Phe
1 5 10 15
Gly Ile Phe Trp Val Met Ala Val Phe Pro Thr Val Pro Phe Met Pro
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Val Gly Arg Thr Ala Gly Ser Leu Leu Gly Ala Met Leu Met Val Leu
35 40 45
Phe Arg Val Ile Ser Pro Glu Asp Ala Tyr Ala Ala Ile Asp Leu Pro
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Ile Ile Gly Leu Leu Phe Gly Thr Met Val Val Ser Ile Phe Leu Glu
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Arg Ala Asp Met Phe Lys Tyr Leu Gly Asn Leu Leu Ser Trp Lys Ser
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Arg Gly Ser Lys Asp Leu Leu Phe Arg Val Cys Ile Val Ser Ala Phe
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Ala Ser Ala Leu Phe Thr Asn Asp Thr Cys Cys Val Val Leu Thr Glu
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Phe Ile Leu Lys Val Ala Arg Gln Asn Asn Leu Pro Pro Gln Pro Phe
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Leu Leu Ala Leu Ala Thr Ser Ser Asn Ile Gly Ser Ala Ala Thr Pro
145 150 155 160
Ile Gly Asn Pro Gln Asn Leu Val Ile Ala Val Glu Ser Gly Ile Ser
165 170 175
Phe Gly Gln Phe Leu Leu Gly Val Phe Pro Ala Met Ile Val Gly Val
180 185 190
Leu Thr Asn Ala Ala Ile Leu Leu Leu Tyr Phe Trp Lys Tyr Leu Ser
195 200 205
Val Glu Lys Asp Gln Glu Gly Gly Gln Pro Thr Gly Pro Glu Val Val
210 215 220
Ala Asp Asp Glu Val Thr Ser His Arg Phe Thr Pro Ala Arg Met Ser
225 230 235 240
His Val Ser Ser Leu Asn Pro Asp Asp Met Asp Cys Val Ser Glu Pro
245 250 255
Ile Ile Arg Ser Asn Ser Val Ser Thr Thr Gly Asn Glu Asn Leu Arg
260 265 270
Ser Arg Ser Ile Asn Ser Glu Ala Asp Ile Gln Leu Ala Ile Lys Ser
275 280 285
Leu Arg Ala Ser Ser Met Ser His Glu Met Val Glu Val Ser Thr Val
290 295 300
Pro Asp Arg Arg Asp Glu Gly Ala Ser Ser Arg Lys Phe Thr Arg Thr
305 310 315 320
Ala Ser Gln Gln Arg Ser Val Ile Ile Glu Asp Leu Ala Pro Ser Pro
325 330 335
Glu Ile Asn Gly Glu Lys Glu Lys Glu Thr Glu Val Ala Glu Lys Arg
340 345 350
Trp Lys Val Leu Val Trp Lys Thr Ala Val Tyr Leu Ile Thr Leu Gly
355 360 365
Met Leu Ile Ala Leu Leu Met Gly Leu Asn Met Ser Trp Thr Ala Ile
370 375 380
Thr Ala Ala Leu Val Leu Leu Ala Leu Asp Phe Thr Asp Ala Gln Ala
385 390 395 400
Cys Leu Glu Lys Val Ser Tyr Ser Leu Leu Ile Phe Phe Cys Gly Met
405 410 415
Phe Ile Thr Val Asp Gly Phe Asn Lys Thr Gly Ile Pro Asn Thr Leu
420 425 430
Trp Glu Leu Val Glu Pro Tyr Ser Arg Ile Asp Ser Ala Lys Gly Val
435 440 445
Ala Leu Leu Ala Val Val Ile Leu Ile Leu Ser Asn Val Ala Ser Asn
450 455 460
Val Pro Thr Val Leu Leu Leu Gly Thr Arg Val Ala Ala Ser Ala Ala
465 470 475 480
Ser Ile Ser His Gly Ser Glu Arg Lys Ala Trp Leu Ile Leu Ala Trp
485 490 495
Val Ser Thr Val Ala Gly Asn Leu Thr Leu Leu Gly Ser Ala Ala Asn
500 505 510
Leu Ile Val Cys Glu Gln Ala Arg Arg Ala Gln Phe Phe Gly Tyr Asn
515 520 525
Leu Thr Phe Trp Ser His Leu Arg Phe Gly Val Pro Ser Thr Ile Ile
530 535 540
Val Thr Ala Ile Gly Leu Leu Ile Val Ile Ser Tyr
545 550 555
<210> 3
<211> 20
<212> DNA
<213> Artificial sequence
<400> 3
atggcgttgg cagggacctc 20
<210> 4
<211> 24
<212> DNA
<213> Artificial sequence
<400> 4
tcagtaactg atgacgatga gcaa 24
<210> 5
<211> 50
<212> DNA
<213> Artificial sequence
<400> 5
catattcact gctgatcttt ttctg(c/t)ggga tgtttatcac tgttgatggc 50
<210> 6
<211> 20
<212> DNA
<213> Artificial sequence
<400> 6
<210> 7
<211> 24
<212> DNA
<213> Artificial sequence
<400> 7
gccatcaaca gtgataaaca tcct 24
Claims (2)
1. Arsenic stress resistance gene of cornZmAsR1The SNP marker of (1), wherein the SNP marker is the base at position 26 of the nucleotide sequence shown by SEQ ID NO.5C or T.
2. The arsenic stress resistance gene of maize of claim 1ZmAsR1The linked SNP marker of (1) is applied to breeding of arsenic stress resistant corn varieties.
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| CN201911410073.7A CN110885839B (en) | 2019-12-31 | 2019-12-31 | Corn arsenic stress resistance gene ZmASR1, and primer, coding product, linkage SNP and application thereof |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911410073.7A CN110885839B (en) | 2019-12-31 | 2019-12-31 | Corn arsenic stress resistance gene ZmASR1, and primer, coding product, linkage SNP and application thereof |
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| CN110885839B true CN110885839B (en) | 2022-06-28 |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101818168A (en) * | 2009-02-26 | 2010-09-01 | 中国科学院上海生命科学研究院 | Application of AtNRT1.8 gene to strengthening resistance of crops to stress of heavy metals or salts |
| WO2015085063A1 (en) * | 2013-12-04 | 2015-06-11 | Newleaf Symbiotics, Inc. | Compositions and methods for improving lettuce production |
| CN106811446A (en) * | 2017-02-13 | 2017-06-09 | 浙江大学 | Paddy rice arsenic acid reductase gene OsHAC4 and its application |
| CN107012166A (en) * | 2017-04-05 | 2017-08-04 | 华南农业大学 | Application of the rice Os AT1 albumen in plant Boron contents are improved |
-
2019
- 2019-12-31 CN CN201911410073.7A patent/CN110885839B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101818168A (en) * | 2009-02-26 | 2010-09-01 | 中国科学院上海生命科学研究院 | Application of AtNRT1.8 gene to strengthening resistance of crops to stress of heavy metals or salts |
| WO2015085063A1 (en) * | 2013-12-04 | 2015-06-11 | Newleaf Symbiotics, Inc. | Compositions and methods for improving lettuce production |
| CN106811446A (en) * | 2017-02-13 | 2017-06-09 | 浙江大学 | Paddy rice arsenic acid reductase gene OsHAC4 and its application |
| CN107012166A (en) * | 2017-04-05 | 2017-08-04 | 华南农业大学 | Application of the rice Os AT1 albumen in plant Boron contents are improved |
Non-Patent Citations (5)
| Title |
|---|
| Comprehensive Analysis of the Cadmium Tolerance of Abscisic Acid-, Stress- and Ripening-Induced Proteins (ASRs) in Maize;Jie Zhang et al.;《International Journal of Molecular Sciences》;20190101;第20卷;第1-13页 * |
| Genetic analysis of arsenic accumulation in maize using QTL mapping;Zhongjun Fu et al.;《Scientific Reports》;20160216;第6卷;第1085-1093页 * |
| Genetic-based dissection of arsenic accumulation in maize using a genome-wide association analysis method;Zhan Zhao et al.;《Plant Biotechnology Journal》;20181231;第16卷;第1-8页 * |
| PREDICTED: Zea mays citrate transporter1 (pco091082), transcript variant X1, mRNA，NCBI Reference Sequence: XM_008681436.2;genbank;《genbank》;20171218;第1-3页 * |
| 玉米砷、汞积累连锁定位与全基因组关联分析;付忠军;《中国知网博士电子期刊》;20160615(第6期);第1-113页 * |
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| Publication number | Publication date |
|---|---|
| CN110885839A (en) | 2020-03-17 |
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