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Biology (Basel)
2021 Dec 30;111:. doi: 10.3390/biology11010050.
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Construction of a High-Density Genetic Linkage Map for the Mapping of QTL Associated with Growth-Related Traits in Sea Cucumber (Apostichopus japonicus).
Cui W
,
Huo D
,
Liu S
,
Xing L
,
Su F
,
Yang H
,
Sun L
.
Abstract
Genetic linkage maps have become an indispensable tool for genetics and genomics research. Sea cucumber (Apostichopus japonicus), which is an economically important mariculture species in Asia, is an edible echinoderm with medicinal properties. In this study, the first SNP-based high-density genetic linkage map was constructed by sequencing 132 A. japonicus individuals (2 parents and 130 offspring) according to a genotyping-by-sequencing (GBS) method. The consensus map was 3181.54 cM long, with an average genetic distance of 0.52 cM. A total of 6144 SNPs were assigned to 22 linkage groups (LGs). A Pearson analysis and QTL mapping revealed the correlations among body weight, body length, and papillae number. An important growth-related candidate gene, protein still life, isoforms C/SIF type 2 (sif), was identified in LG18. The gene was significantly highly expressed during the larval developmental stages. Its encoded protein reportedly functions as a guanine nucleotide exchange factor. These results would facilitate the genetic analysis of growth traits and provide valuable genomic resources for the selection and breeding of new varieties of sea cucumbers with excellent production traits.
2018YFD0900105 National Key R&D Program of China, 42076093,42030408 National Natural Science Foundation of China, XDA24030304 Strategic Priority Research Program of the Chinese Academy of Sciences, 2019209 Youth Innovation Promotion Association CAS
Figure 1. Consensus linkage map of Apostichopus japonicus. Blue bars represent SNPs. The scale on the left indicates the genetic distance in centimorgans (cM).
Figure 2. The frequency distribution of phenotypic data. (a) Body length; (b) body weight; (c) papillae number.
Figure 3. Correlations among three growth traits in Apostichopus japonicus.
Figure 4. (a) Expression characteristics of the sif gene in different Apostichopus japonicus larval developmental stages. (b) Expression characteristics of the sif gene in different adult Apostichopus japonicus tissues. Asterisks indicate significant differences between the groups (* p < 0.05, ** p < 0.01).
Boyko,
Reference assembly and gene expression analysis of Apostichopus japonicus larval development.
2019, Pubmed,
Echinobase
Boyko,
Reference assembly and gene expression analysis of Apostichopus japonicus larval development.
2019,
Pubmed
,
Echinobase
Chen,
Characterization of nerve growth factor precursor protein expression in rat round spermatids and the trophic effects of nerve growth factor in the maintenance of Sertoli cell viability.
1997,
Pubmed
Denard,
The membrane-bound transcription factor CREB3L1 is activated in response to virus infection to inhibit proliferation of virus-infected cells.
2011,
Pubmed
Djakiew,
Role of nerve growth factor-like protein in the paracrine regulation of prostate growth.
1992,
Pubmed
Elshire,
A robust, simple genotyping-by-sequencing (GBS) approach for high diversity species.
2011,
Pubmed
Greenwood,
Transcription factor CREB3L1 regulates vasopressin gene expression in the rat hypothalamus.
2014,
Pubmed
Hirsch,
Identification of positive and negative regulatory elements governing cell-type-specific expression of the neural cell adhesion molecule gene.
1990,
Pubmed
Hubert,
Linkage maps of microsatellite DNA markers for the Pacific oyster Crassostrea gigas.
2004,
Pubmed
Knapik,
A microsatellite genetic linkage map for zebrafish (Danio rerio).
1998,
Pubmed
Kocher,
A genetic linkage map of a cichlid fish, the tilapia (Oreochromis niloticus).
1998,
Pubmed
Li,
A genetic linkage map of the sea cucumber, Apostichopus japonicus (Selenka), based on AFLP and microsatellite markers.
2009,
Pubmed
,
Echinobase
Li,
Fast and accurate short read alignment with Burrows-Wheeler transform.
2009,
Pubmed
Li,
The Sequence Alignment/Map format and SAMtools.
2009,
Pubmed
Li,
A quick method to calculate QTL confidence interval.
2011,
Pubmed
Li,
Weighted gene co-expression network analysis reveals potential genes involved in early metamorphosis process in sea cucumber Apostichopus japonicus.
2018,
Pubmed
,
Echinobase
Liu,
Multiple functions of caveolin-1.
2002,
Pubmed
Livak,
Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.
2001,
Pubmed
Nichols,
A consolidated linkage map for rainbow trout (Oncorhynchus mykiss).
2003,
Pubmed
Peng,
An ultra-high density linkage map and QTL mapping for sex and growth-related traits of common carp (Cyprinus carpio).
2016,
Pubmed
Slate,
Robustness of linkage maps in natural populations: a simulation study.
2008,
Pubmed
Slate,
Gene mapping in the wild with SNPs: guidelines and future directions.
2009,
Pubmed
Sone,
Still life, a protein in synaptic terminals of Drosophila homologous to GDP-GTP exchangers.
1997,
Pubmed
Tian,
Construction of a High-Density Genetic Map and Quantitative Trait Locus Mapping in the Sea Cucumber Apostichopus japonicus.
2015,
Pubmed
,
Echinobase
Wallace,
Genotyping-by-Sequencing.
2017,
Pubmed
Wu,
On the accurate construction of consensus genetic maps.
2008,
Pubmed
Zhang,
The sea cucumber genome provides insights into morphological evolution and visceral regeneration.
2017,
Pubmed
,
Echinobase