High-Resolution Linkage and Quantitative Trait Locus Mapping Aided by Genome Survey Sequencing: Building Up An Integrative Genomic Framework for a Bivalve Mollusc

Weiwei Jiao(Ocean University of China), Xiaoteng Fu(Ocean University of China), Jinzhuang Dou(Ocean University of China), Hengde Li(Chinese Academy of Fishery Sciences), Hailin Su(Ocean University of China), Jiude Mao(Ocean University of China), Q Yu(Ocean University of China), L. Zhang(Ocean University of China), Xiaoli Hu(Ocean University of China), Xiaoting Huang(Chinese Academy of Fishery Sciences), Ye Wang(Ocean University of China), Song Wang(Chinese Academy of Fishery Sciences), Zhenmin Bao(Ocean University of China)
DNA Research
October 9, 2013
Cited by 146Open Access
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Abstract

Genetic linkage maps are indispensable tools in genetic and genomic studies. Recent development of genotyping-by-sequencing (GBS) methods holds great promise for constructing high-resolution linkage maps in organisms lacking extensive genomic resources. In the present study, linkage mapping was conducted for a bivalve mollusc (Chlamys farreri) using a newly developed GBS method-2b-restriction site-associated DNA (2b-RAD). Genome survey sequencing was performed to generate a preliminary reference genome that was utilized to facilitate linkage and quantitative trait locus (QTL) mapping in C. farreri. A high-resolution linkage map was constructed with a marker density (3806) that has, to our knowledge, never been achieved in any other molluscs. The linkage map covered nearly the whole genome (99.5%) with a resolution of 0.41 cM. QTL mapping and association analysis congruously revealed two growth-related QTLs and one potential sex-determination region. An important candidate QTL gene named PROP1, which functions in the regulation of growth hormone production in vertebrates, was identified from the growth-related QTL region detected on the linkage group LG3. We demonstrate that this linkage map can serve as an important platform for improving genome assembly and unifying multiple genomic resources. Our study, therefore, exemplifies how to build up an integrative genomic framework in a non-model organism.


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