Linkage mapping and comparative genomics using next-generation RAD sequencing of a non-model organism.
Linkage mapping and comparative genomics using next-generation RAD sequencing of a non-model organism.
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DOI:
10.1371/journal.pone.0019315
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发表时间:
2011-04-26
期刊:
影响因子:
3.7
通讯作者:
Blaxter ML
中科院分区:
文献类型:
--
作者:
Baxter SW;Davey JW;Johnston JS;Shelton AM;Heckel DG;Jiggins CD;Blaxter ML
Restriction-site associated DNA (RAD) sequencing is a powerful new method for targeted sequencing across the genomes of many individuals. This approach has broad potential for genetic analysis of non-model organisms including genotype-phenotype association mapping, phylogeography, population genetics and scaffolding genome assemblies through linkage mapping. We constructed a RAD library using genomic DNA from a Plutella xylostella (diamondback moth) backcross that segregated for resistance to the insecticide spinosad. Sequencing of 24 individuals was performed on a single Illumina GAIIx lane (51 base paired-end reads). Taking advantage of the lack of crossing over in homologous chromosomes in female Lepidoptera, 3,177 maternally inherited RAD alleles were assigned to the 31 chromosomes, enabling identification of the spinosad resistance and W/Z sex chromosomes. Paired-end reads for each RAD allele were assembled into contigs and compared to the genome of Bombyx mori (n = 28) using BLAST, revealing 28 homologous matches plus 3 expected fusion/breakage events which account for the difference in chromosome number. A genome-wide linkage map (1292 cM) was inferred with 2,878 segregating RAD alleles inherited from the backcross father, producing chromosome and location specific sequenced RAD markers. Here we have used RAD sequencing to construct a genetic linkage map de novo for an organism that has no previous genome data. Comparative analysis of P. xyloxtella linkage groups with B. mori chromosomes shows for the first time, genetic synteny appears common beyond the Macrolepidoptera. RAD sequencing is a powerful system capable of rapidly generating chromosome specific data for non-model organisms.
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影响因子:
3.7
作者:
Baird NA;Etter PD;Atwood TS;Currey MC;Shiver AL;Lewis ZA;Selker EU;Cresko WA;Johnson EA
通讯作者:
Johnson EA
影响因子:
4.4
作者:
Chutimanitsakun Y;Nipper RW;Cuesta-Marcos A;Cistué L;Corey A;Filichkina T;Johnson EA;Hayes PM
通讯作者:
Hayes PM
影响因子:
7
作者:
Miller, Michael R.;Dunham, Joseph P.;Johnson, Eric A.
通讯作者:
Johnson, Eric A.
影响因子:
3.8
作者:
Fujii, Tsuguru;Abe, Hiroaki;Shimada, Toru
通讯作者:
Shimada, Toru
DOI:
10.1073/pnas.0910413107
发表时间:
2010-04-27
影响因子:
11.1
作者:
d'Alencon, E.;Sezutsu, H.;Feyereisen, R.
通讯作者:
Feyereisen, R.