Resistance gene enrichment sequencing (RenSeq) enables reannotation of the NB-LRR gene family from sequenced plant genomes and rapid mapping of resistance loci in segregating populations.
Resistance gene enrichment sequencing (RenSeq) enables reannotation of the NB-LRR gene family from sequenced plant genomes and rapid mapping of resistance loci in segregating populations.
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DOI:
10.1111/tpj.12307
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发表时间:
2013-11
期刊:
影响因子:
--
通讯作者:
Jones JD
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文献类型:
--
作者:
Jupe F;Witek K;Verweij W;Sliwka J;Pritchard L;Etherington GJ;Maclean D;Cock PJ;Leggett RM;Bryan GJ;Cardle L;Hein I;Jones JD
RenSeq is a NB-LRR (nucleotide binding-site leucine-rich repeat) gene-targeted, Resistance gene enrichment and sequencing method that enables discovery and annotation of pathogen resistance gene family members in plant genome sequences. We successfully applied RenSeq to the sequenced potato Solanum tuberosum clone DM, and increased the number of identified NB-LRRs from 438 to 755. The majority of these identified R gene loci reside in poorly or previously unannotated regions of the genome. Sequence and positional details on the 12 chromosomes have been established for 704 NB-LRRs and can be accessed through a genome browser that we provide. We compared these NB-LRR genes and the corresponding oligonucleotide baits with the highest sequence similarity and demonstrated that ∼80% sequence identity is sufficient for enrichment. Analysis of the sequenced tomato S. lycopersicum ‘Heinz 1706’ extended the NB-LRR complement to 394 loci. We further describe a methodology that applies RenSeq to rapidly identify molecular markers that co-segregate with a pathogen resistance trait of interest. In two independent segregating populations involving the wild Solanum species S. berthaultii (Rpi-ber2) and S. ruiz-ceballosii (Rpi-rzc1), we were able to apply RenSeq successfully to identify markers that co-segregate with resistance towards the late blight pathogen Phytophthora infestans. These SNP identification workflows were designed as easy-to-adapt Galaxy pipelines.
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DOI:
10.1093/bioinformatics/btp163
发表时间:
2009-06-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Cock PJ;Antao T;Chang JT;Chapman BA;Cox CJ;Dalke A;Friedberg I;Hamelryck T;Kauff F;Wilczynski B;de Hoon MJ
通讯作者:
de Hoon MJ
影响因子:
3
作者:
Cronn, Richard;Knaus, Brian J.;Udall, Joshua
通讯作者:
Udall, Joshua
影响因子:
3.7
作者:
Lozano R;Ponce O;Ramirez M;Mostajo N;Orjeda G
通讯作者:
Orjeda G
影响因子:
11.6
作者:
Milligan, SB;Bodeau, J;Williamson, VM
通讯作者:
Williamson, VM
影响因子:
5.4
作者:
Bakker, Erin;Borm, Theo;Prins, Pjotr;van der Vossen, Edwin;Uenk, Gerda;Arens, Marjon;de Boer, Jan;van Eck, Herman;Muskens, Marielle;Vossen, Jack;van der Linden, Gerard;van Ham, Roeland;Klein-Lankhorst, Rene;Visser, Richard;Smant, Geert;Bakker, Jaap;Goverse, Aska
通讯作者:
Goverse, Aska