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Institute of Crop Sciences, CAAS

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Presentation on theme: "Institute of Crop Sciences, CAAS"— Presentation transcript:

1 Institute of Crop Sciences, CAAS
Development and application of Axiom Wheat660K, a high density SNP array Jizeng Jia Institute of Crop Sciences, CAAS  IWC 2015, Sydney

2 Background Wheat was a leading crop on research in the world before rice genome sequenced Wheat research lags behind rice after rice sequenced in 2001 Rice wheat wheat Rice

3 Background Two major reasons resulted in this situation
Difficult to get gene: Shortage of genome sequence and fine mapping information Difficult to confirm the gene function: Very low ratio of transformation 凝胶时代: 限制性酶切片段长度多态性分析(RFLP) 寡核苷酸连接分析(OLA) 等位基因特异聚合酶链反应分析(ASPCR) 单链构象多态性分析(SSCP) 变性梯度凝胶电泳分析(DGGE) 高通量时代: 特异位点杂交(ASH) 特异位点引物延伸(ASPE) 特异位点切割(ASC) 特异位点连接(ASL) 单碱基延伸(SBCE)

4 JT has made the breakthrough for wheat transformation , and we introduced their techniques and the transformation efficiency reaches to 40% We report here the development of Wheat660, a high density SNP array, which will accelerate the breakthrough of gene discovery and genomic breeding in wheat

5 SNP-the third generation molecular marker
First generation molecular marker: RFLP, its application lasted for about 5 years only Second generation molecular marker: SSR, lasted for more than 20 years SNP is the third generation marker, with advantage of huge number of loci, high throughput, it should be lasted much more longer

6 Outlines Axiom Wheat660K development Axiom Wheat660K application

7 Affy techniques can produce SNP array with a density SNP more than 600K/slides
However, the high density can be generated in diploid species only Wheat is hexaploid, in order to develop the high density array, we developed a new strategy: select SNPs with diploid characters

8 Procedure of Weat660 development
Wheat accessions Screening 4x660K by Affymetrix 2nd generation data Producing 4x660K mapping Test 4x660k array vs 192 wheat accessions Genome-specific SNP Wheat660 Screening 10x660K

9 Total data: 6+Tb De novo, resequence, transcriptome and GBS
Species accessions Genome Data type Data 1 T. urartu G1812 UR203 UR206 AA resequencing 170x 2 Ae. tauschii AL8/78(Y2282) Y2280 DD 92x 3 T. turgidum LDN PS4 AABB 5x 4 T. aestivum AK58 32 accessions 78 accessions AABBDD De novo, transcriptome and GBS sequencing 272x 500G 20x Total data: 6+Tb Common wheat varieties come from world wide

10 SNP analysis Total 51,380,485 SNPs discovered
SNPs outside of genes:50,375,584 SNPs in genes: 1,004,901 #SNP  in exon: 589,236 #SNP  in inron: 415,665 From all 99,386 wheat genes SNPs in Tandem repeat:1,516,247 SNPs in TE: 37,945,716 23 million candidate SNPs to Affymetrix for further screening

11 Chromosome distribution of 51 millions SNPs
1A 3,037,061 1B 2,527,422 1D 1,295,018 2A 4,213,482 2B 4,125,640 2D 998,762 3A 2,532,902 3B 5,055,792 3D 743,180 4A 3,443,133 4B 1,953,790 4D 1,071,141 5A 3,029,073 5B 3,298,191 5D 1,296,462 6A 2,559,818 6B 2,856,559 6D 1,194,569 7A 2,724,036 7B 2,083,129 7D 1,341,325 subtotal 21,539,505 21,900,523 7,940,457 total 51,380,485 % 41.9% 42.6% 15.5%

12 Procedure of Weat660 development
Wheat accessions 4x660K by Affymetrix 2nd generation data Producing 4x660K mapping Screening 4x660k array vs 192 wheat accessions Genome-specific SNP Wheat660K Screening 10x660K

13 X X

14 Wheat660 has good performance
The highest density array in polyploid Genome-specific SNPs “Diploidization” A single array with 630,517 SNPs

15 Auto redding

16 Distribution on genome evenly
homoeologous group  A genome B genome D genome wheat660 90Kchip 1 30,978 2,072 24,199 3,471 23,966 1,024 2 31,371 2,090 39,062 3,250 28,228 1,491 3 20,176 1,800 50,067 2,491 19,779 883 4 28,068 1,928 15,159 1,444 17,036 296 5 18,209 2,454 38,075 2,964 27,007 1,004 6 20,147 2,133 26,178 2,528 20,870 571 7 30,226 2,662 18,750 2,461 31,570 1,250 subtotal 179,175 15,139 211,490 18,609 168,456 6,519 % 32.0% 37.6% 37.8% 46.2 30.1% 16.2 我将4个群体能够做上的标记汇总后总共为359811个,没有显示度。但和上述数字整合有难度,主要是去除冗余有难度。 Genetic density : 13 SNP/cM, Physical density: 3 SNP/100K

17 Cover almost genes of wheat
Containing 630,517 SNPs #SNPs out of genes: 503,173 #SNPs in genes: 106,587 in 99,386 genes One gene One SNP , every gene has a SNP in wheat, almost every gene has a functional marker SNPs  in exon: 63,604 SNPs  in inron: 43,059 Stop codon : 1247 Phase % % % 密码子相位(Phase ):指SNP发生在三联体密码子的第几位

18 Functional SNPs in Wheat660
Gene SNP of W660K LR1 AX Lr10 AX AX AX Lr21 AX Lr34 AX AX AX Pm3-B AX AX AX Pm6 AX AX AX Sr33 AX AX AX Sr35 AX AX AX TaPHS AX AX AX Ppd-D1 AX AX AX VRN1 AX AX AX VRN2 AX AX AX VRN3 AX AX Q AX AX AX 密码子相位(Phase ):指SNP发生在三联体密码子的第几位

19 820 SNPs on pathway of Oxidative phosphorylation

20 702 SNPs on pathway of ribosome(translation)

21 339 SNPs in pathway annotation : carbon metabolism

22 Wheat660 has good performance
High density Call rate: 97% Auto reading Genotypin PolyHighResolution: 19.3%, 14.5%, 21.8% and 24% respectively

23 Outlines Axiom Wheat660K development Axiom Wheat660K application
Construction of high density of wheat genetic maps Construction of Wheat Hapmap Gene detection

24 Construction of fine genetic maps by use of Wheat660
Jing_DH Xia_DH Zhang_RIL Wang_RIL Population type DH RIL13 RIL10 #of individuals 141 181 182 170 #SNP 121,681 91,260 137,512 95,552 %HighPolymorphic SNP 19.3% 14.5% 21.8% 15.2% Genetic density(SNP/cM) 29 22 33 23 Physical density (SNP/100k) 0.7 0.5 0.8 0.6 各图图距汇总 合计 名称 Jing zhang Wang xia 1a b d a b d a b d a b d a b d a b d a b d

25 Comparison genetic map between the Wheat660 maps and the international wheat genetic maps

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33 SNP distribution on genetic maps of common wheat
550 common wheat varieties were genotyped with Wheat660 The SNP distribution evenly in general, however, super cluster were discovered in each chromosome 1 log 5 25 125 625

34 1 log 5 25 125 625

35 1 log 5 25 125 625

36 BIN #SNP #in Gene #Out Gene % In Gene Bin77 437 108 329 24.7% Bin90 541 111 430 20.5% Bin119 401 51 350 12.7% allBin 27107 3438 23669

37 Outlines Axiom Wheat660K development Axiom Wheat660K application
Construction of high density of wheat genetic maps Fine mapping of interesting genes

38 Gene detection Natural population: 800 accessions
GMAIL (genome wide multiple allele introgression lines) population

39 Fine mapping of the heading date genes
Gene fine mapping by using pooling strategy Heading date gene Segregation population: Am3/L953*6F4

40 44 SNP 11 mapped on 2A, 6 on 58-59 cM region
Pool1 916 Pool4 422 Pool3 478 Pool2 917 11 mapped on 2A, on cM region 33 mapped on 2D, mapped on cM region

41 Fine mapping of the plant height genes
12 SNP Pool1 916 Pool4 422 Pool3 478 Pool2 917 12 common SNP among 4 pools 8 mapped on 2D, located on cM region

42 Summary We developed a highest density and efficient wheat SNP array, Wheat660k Wheat660k cover almost wheat genes Highest density genetic maps were constructed Chromosomal inversions of some synthetic wheat were revealed There are very low efficient recombination regions in wheat Wheat 660K is an efficient tool for gene fine mapping

43 Works on the way Construction of wheat HapMap
Fine mapping and cloning of genes conferring agronomic important traits Development of Wheat50k for wheat genomic breeding

44 Acknowledge Aimin Zhang Affymetrix Ruilian Jing CapitalBio Zhonghu He
Jirui Wang Guangyao Zhao Xiuxing Kong Lifeng Gao Dangqun Cui Zhengang Ru Affymetrix CapitalBio 973 Project


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