Combining SNP discovery from next-generation sequencing data with bulked segregant analysis (BSA) to fine-map genes in polyploid wheat.

Combining SNP discovery from next-generation sequencing data with bulked segregant analysis (BSA) to fine-map genes in polyploid wheat.
复制标题

DOI:
10.1186/1471-2229-12-14
复制
发表时间:
2012-01-26
期刊:
影响因子:
5.3
通讯作者:
Uauy C
Uauy C
中科院分区:
生物学2区
文献类型:
--
作者:
Trick M;Adamski NM;Mugford SG;Jiang CC;Febrer M;Uauy C

文献摘要

参考文献

被引文献

相似文献

Next generation sequencing (NGS) technologies are providing new ways to accelerate fine-mapping and gene isolation in many species. To date, the majority of these efforts have focused on diploid organisms with readily available whole genome sequence information. In this study, as a proof of concept, we tested the use of NGS for SNP discovery in tetraploid wheat lines differing for the previously cloned grain protein content (GPC) gene GPC-B1. Bulked segregant analysis (BSA) was used to define a subset of putative SNPs within the candidate gene region, which were then used to fine-map GPC-B1. We used Illumina paired end technology to sequence mRNA (RNAseq) from near isogenic lines differing across a ~30-cM interval including the GPC-B1 locus. After discriminating for SNPs between the two homoeologous wheat genomes and additional quality filtering, we identified inter-varietal SNPs in wheat unigenes between the parental lines. The relative frequency of these SNPs was examined by RNAseq in two bulked samples made up of homozygous recombinant lines differing for their GPC phenotype. SNPs that were enriched at least 3-fold in the corresponding pool (6.5% of all SNPs) were further evaluated. Marker assays were designed for a subset of the enriched SNPs and mapped using DNA from individuals of each bulk. Thirty nine new SNP markers, corresponding to 67% of the validated SNPs, mapped across a 12.2-cM interval including GPC-B1. This translated to 1 SNP marker per 0.31 cM defining the GPC-B1 gene to within 13-18 genes in syntenic cereal genomes and to a 0.4 cM interval in wheat. This study exemplifies the use of RNAseq for SNP discovery in polyploid species and supports the use of BSA as an effective way to target SNPs to specific genetic intervals to fine-map genes in unsequenced genomes.
DOI: 10.1007/s00122-006-0364-5
发表时间: 2006-10-01
影响因子: 5.4
作者:
Bossolini, Eligio;Krattinger, Simon G.;Keller, Beat
通讯作者: Keller, Beat
aegilops tauschii,胸臂式distachyon,oryza sativa和高粱双色基因组进化过程中的基因空间动力学。
DOI: 10.1093/molbev/msr080
发表时间: 2011-09
影响因子: 10.7
作者:
Massa AN;Wanjugi H;Deal KR;O'Brien K;You FM;Maiti R;Chan AP;Gu YQ;Luo MC;Anderson OD;Rabinowicz PD;Dvorak J;Devos KM
通讯作者: Devos KM
DOI: 10.1093/jxb/erq423
发表时间: 2011-03
影响因子: 6.9
作者:
Howard T;Rejab NA;Griffiths S;Leigh F;Leverington-Waite M;Simmonds J;Uauy C;Trafford K
通讯作者: Trafford K
DOI: 10.1186/1471-2164-12-77
发表时间: 2011-01-27
期刊: BMC genomics
影响因子: 4.4
作者:
Oliver RE;Lazo GR;Lutz JD;Rubenfield MJ;Tinker NA;Anderson JM;Wisniewski Morehead NH;Adhikary D;Jellen EN;Maughan PJ;Brown Guedira GL;Chao S;Beattie AD;Carson ML;Rines HW;Obert DE;Bonman JM;Jackson EW
通讯作者: Jackson EW
DOI: 10.1126/science.1166453
发表时间: 2009-03-06
期刊: SCIENCE
影响因子: 56.9
作者:
Krattinger, Simon G.;Lagudah, Evans S.;Keller, Beat
通讯作者: Keller, Beat