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High-Density Genetic Mapping with Interspecific Hybrids of Two Sea Urchins, Strongylocentrotus nudus and S. intermedius, by RAD Sequencing
Author(s) -
Zunchun Zhou,
Shikai Liu,
Ying Dong,
Shan Gao,
ZhongQiang Chen,
Jingwei Jiang,
Aifu Yang,
Hongjuan Sun,
Xiaoyan Guan,
Bei Jiang,
Bai Wang
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0138585
Subject(s) - biology , sea urchin , genome , genetics , genomics , evolutionary biology , strongylocentrotus purpuratus , population , quantitative trait locus , ecology , gene , demography , sociology
Sea urchins have long been used as research model organisms for developmental biology and evolutionary studies. Some of them are also important aquaculture species in East Asia. In this work, we report the construction of RAD-tag based high-density genetic maps by genotyping F 1 interspecific hybrids derived from a crossing between a female sea urchin Strongylocentrotus nudus and a male Strongylocentrotus intermedius . With polymorphisms present in these two wild individuals, we constructed a female meiotic map containing 3,080 markers for S . nudus , and a male meiotic map for S . intermedius which contains 1,577 markers. Using the linkage maps, we were able to anchor a total of 1,591 scaffolds (495.9 Mb) accounting for 60.8% of the genome assembly of Strongylocentrotus purpuratus . A genome-wide scan resulted in the identification of one putative QTL for body size which spanned from 25.3 cM to 30.3 cM. This study showed the efficiency of RAD-Seq based high-density genetic map construction using F 1 progenies for species with no prior genomic information. The genetic maps are essential for QTL mapping and are useful as framework to order and orientate contiguous scaffolds from sea urchin genome assembly. The integration of the genetic map with genome assembly would provide an unprecedented opportunity to conduct QTL analysis, comparative genomics, and population genetics studies.

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