Literature DB >> 24107803

High-resolution linkage and quantitative trait locus mapping aided by genome survey sequencing: building up an integrative genomic framework for a bivalve mollusc.

Wenqian Jiao1, Xiaoteng Fu, Jinzhuang Dou, Hengde Li, Hailin Su, Junxia Mao, Qian Yu, Lingling Zhang, Xiaoli Hu, Xiaoting Huang, Yangfan Wang, Shi Wang, Zhenmin Bao.   

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.

Entities:  

Keywords:  2b-RAD genotyping; bivalve; genome sequencing; linkage mapping; quantitative trait locus mapping

Mesh:

Year:  2013        PMID: 24107803      PMCID: PMC3925396          DOI: 10.1093/dnares/dst043

Source DB:  PubMed          Journal:  DNA Res        ISSN: 1340-2838            Impact factor:   4.458


  38 in total

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