Evidence map›Paper›PMID 26994291›Full record

ArticleG3 (Bethesda, Md.)2016

A High-Density SNP Genetic Linkage Map and QTL Analysis of Growth-Related Traits in a Hybrid Family of Oysters (Crassostrea gigas × Crassostrea angulata) Using Genotyping-by-Sequencing.

Jinpeng Wang, Li Li, Guofan Zhang

Abstract read
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Article in G3 (Bethesda, Md.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

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37citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jinpeng WangKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, China 266071 University of Chinese Academy of Sciences, Beijing, China 100039 Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong, China 266071 National and Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, Shandong, China 266071.
Li LiKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, China 266071 National and Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, Shandong, China 266071 Laboratory for Marine Fisheries and Aquaculture, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong, China 266071 gzhang@qdio.ac.cn lili@qdio.ac.cn.
Guofan ZhangKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong, China 266071 Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong, China 266071 National and Local Joint Engineering Laboratory of Ecological Mariculture, Qingdao, Shandong, China 266071 gzhang@qdio.ac.cn lili@qdio.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oysters are among the most important species in global aquaculture. Crassostrea gigas, and its subspecies C. angulata, are the major cultured species. To determine the genetic basis of growth-related traits in oysters, we constructed a second-generation linkage map from 3367 single-nucleotide polymorphisms (SNPs) based on genotyping-by-sequencing, genotyped from a C. gigas × C. angulata hybrid family. These 3367 SNPs were distributed on 1695 markers, which were assigned to 10 linkage groups. The genetic linkage map had a total length of 1084.3 cM, with an average of 0.8 cM between markers; it thus represents the densest genetic map constructed for oysters to date. Twenty-seven quantitative trait loci (QTL) for five growth-related traits were detected. These QTL could explain 4.2-7.7% (mean = 5.4%) of the phenotypic variation. In total, 50.8% of phenotypic variance for shell width, 7.7% for mass weight, and 34.1% for soft tissue weight were explained. The detected QTL were distributed among eight linkage groups, and more than half (16) were concentrated within narrow regions in their respective linkage groups. Thirty-eight annotated genes were identified within the QTL regions, two of which are key genes for carbohydrate metabolism. Other genes were found to participate in assembly and regulation of the actin cytoskeleton, signal transduction, and regulation of cell differentiation and development. The newly developed high-density genetic map, and the QTL and candidate genes identified provide a valuable genetic resource and a basis for marker-assisted selection for C. gigas and C. angulata.

Indexed as

Chromosome MappingGenetic LinkageHybridization, GeneticPolymorphism, Single NucleotideQuantitative Trait, HeritableQuantitative Trait LociAnimalsCrassostreaGenetic Association StudiesGenotypeHigh-Throughput Nucleotide SequencingPhenotypedistortion of segregation ratiosgrowth-related traits candidate genesmissing data imputationreduced-representation sequencingsingle nucleotide polymorphisms

Identifiers

PMID26994291
PMCPMC4856092

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.