Response to selection for growth in three selected strains of the Pacific oyster Crassostrea gigas

Zhang, Jingxiao; Li, Qi; Xu, Chengxun; Han, Ziqiang

doi:10.1016/j.aquaculture.2018.12.076

Cited by 34 publications

(11 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Selective breeding in oysters has mainly focused on improving meat yield, disease resistance, survival and growth ( Toro and Newkirk, 1990 ; Allen et al, 1993 ; Ragone Calvo et al, 2003 ; Ward et al, 2005 ; Dégremont et al, 2015 ; De Melo et al, 2016 ; Proestou et al, 2016 ; Camara et al, 2017 ; Zhang et al, 2019 ), with a recent interest in nutritional content and shell shape ( Grizzle et al, 2017 ; Liu et al, 2019 ; Meng et al, 2019 ; Wan et al, 2020 ; He et al, 2022 ). Among these traits, growth is comparatively simple to assess and consequently select for using phenotypic information.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Association and Genomic Prediction of Growth Traits in the European Flat Oyster (Ostrea edulis)

et al. 2022

View full text Add to dashboard Cite

The European flat oyster (Ostrea edulis) is a bivalve mollusc that was once widely distributed across Europe and represented an important food resource for humans for centuries. Populations of O. edulis experienced a severe decline across their biogeographic range mainly due to overexploitation and disease outbreaks. To restore the economic and ecological benefits of European flat oyster populations, extensive protection and restoration efforts are in place within Europe. In line with the increasing interest in supporting restoration and oyster farming through the breeding of stocks with enhanced performance, the present study aimed to evaluate the potential of genomic selection for improving growth traits in a European flat oyster population obtained from successive mass-spawning events. Four growth-related traits were evaluated: total weight (TW), shell height (SH), shell width (SW) and shell length (SL). The heritability of the growth traits was in the low-moderate range, with estimates of 0.45, 0.37, 0.22, and 0.32 for TW, SH, SW and SL, respectively. A genome-wide association analysis revealed a largely polygenic architecture for the four growth traits, with two distinct QTLs detected on chromosome 4. To investigate whether genomic selection can be implemented in flat oyster breeding at a reduced cost, the utility of low-density SNP panels was assessed. Genomic prediction accuracies using the full density panel were high (> 0.83 for all traits). The evaluation of the effect of reducing the number of markers used to predict genomic breeding values revealed that similar selection accuracies could be achieved for all traits with 2K SNPs as for a full panel containing 4,577 SNPs. Only slight reductions in accuracies were observed at the lowest SNP density tested (i.e., 100 SNPs), likely due to a high relatedness between individuals being included in the training and validation sets during cross-validation. Overall, our results suggest that the genetic improvement of growth traits in oysters is feasible. Nevertheless, and although low-density SNP panels appear as a promising strategy for applying GS at a reduced cost, additional populations with different degrees of genetic relatedness should be assessed to derive estimates of prediction accuracies to be expected in practical breeding programmes.

show abstract

Section: Introductionmentioning

confidence: 99%

Genome-Wide Association and Genomic Prediction of Growth Traits in the European Flat Oyster (Ostrea edulis)

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Selective breeding in oysters has mainly focused on improving meat yield and quality, disease resistance, survival and growth (Toro and Newkirk, 1990; Allen et al, 1993; Ragone Calvo et al, 2003; Ward et al, 2005; Dégremont et al, 2015; De Melo et al, 2016; Proestou et al, 2016; Camara et al, 2017; Zhang et al, 2019), with a recent interest in nutritional content and shell shape (Grizzle et al, 2017; Liu et al, 2019; Meng et al, 2019; Wan et al, 2020; He et al, 2022). Among these traits, growth is comparatively simple to assess and consequently select for using phenotypic information.…”

Section: Introductionmentioning

confidence: 99%

“…0.26 and 0.31 – De Melo et al (2016) and Evans and Langdon (2006), respectively). As a result, fast-growing lines of oysters have been developed for some of the main commercial species, such as the Pacific ( C. gigas ) (Zhang et al 2019), Portuguese ( C. angulata ) (Vu et al 2020), American ( C. virginica ) (Varney and Wilbur 2020) and Sydney rock ( Saccostrea glomerata ) (Fitzer et al 2019) oyster. Initial attempts to genetically improve the European flat oyster O. edulis resulted in a 23% increase in growth rate compared to an unselected (control) line (Newkirk and Haley 1982).…”

Section: Introductionmentioning

confidence: 99%

Genome-wide association and genomic prediction of growth traits in the European flat oyster (Ostrea edulis)

Peñaloza

Barría

Papadopoulou

et al. 2022

Preprint

View full text Add to dashboard Cite

The European flat oyster (Ostrea edulis) is a bivalve mollusc that was once widely distributed in Europe and represented an important food resource for humans for centuries. Populations of O. edulis experienced a severe decline across their biogeographic range mainly due to anthropogenic activities and disease outbreaks. To restore the economic and ecological benefits of European flat oyster populations, extensive protection and restoration efforts are in place within Europe. In line with the increasing interest in supporting restoration and oyster farming through the breeding of stocks with enhanced performance, the present study aimed to evaluate the potential of genomic selection for improving growth traits in a European flat oyster population obtained from successive mass-spawning events. Four growth-related traits were evaluated: total weight (TW), shell height (SH), shell width (SW) and shell length (SL). The heritability of the growth traits was moderate-low, with estimates of 0.45, 0.37, 0.22, and 0.32 for TW, SH, SW and SL, respectively. A genome-wide association analysis revealed a largely polygenic genetic architecture for the four growth traits, with two distinct QTLs detected on chromosome 4. To investigate whether genomic selection can be implemented in flat oyster breeding at a reduced cost, the utility of low-density SNP panels (down to 100 SNPs) was assessed. Genomic prediction accuracies using the full density panel were high (>0.83 for all traits). The evaluation of the effect of reducing the number of markers used to predict genomic breeding values revealed that similar selection accuracies could be achieved for all traits with 2K SNPs as for a full panel containing 4,577 SNPs. Only slight reductions in accuracies were observed at the lowest SNP density tested (i.e. 100 SNPs), likely due to a high relatedness between individuals being included in the training and validation sets during cross-validation. Overall, our results suggest that the genetic improvement of growth traits in oysters is feasible. Nevertheless, and although low-density SNP panels appear as a promising strategy for applying GS at a reduced cost, additional populations with different degrees of genetic relationship should be assessed to derive estimates of prediction accuracies to be expected in practical breeding programmes.

show abstract

“…The Pacific oyster ( Crassostrea gigas ) is one of the most widely cultured marine mollusks, which has been introduced from Asia to many other countries around the world [37]. A selection breeding program of the C. gigas in China performed for over ten years have produced a fast-growing variety named as “Haida No.1”, which exhibits significant growth advantages over wild oysters [38, 39]. The fast-growing variety provides an ideal research system for growth studies in oyster.…”

Section: Introductionmentioning

confidence: 99%

Insulin-like peptide receptor mediated signaling pathways orchestrate regulation of energy homeostasis in the Pacific oyster,Crassostrea gigas

Y¹,

Fu²,

Zhang³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

The involvement of insulin/insulin-like growth factor (IIS) signaling pathway in growth regulation of marine invertebrates remains largely unexplored. In this study, we used a fast-growing Pacific oyster (Crassostrea gigas) variety Haida No.1 as material to unravel the role of IIS system in growth regulation in oysters. Systematic bioinformatics analyses allowed to identify major components of IIS signaling pathway and insulin-like peptide receptor (ILPR) mediated signaling pathways, including PI3K-AKT, RAS-MAPK, and TOR, in C. gigas. Expression levels of the major genes in IIS and its downstream signaling pathways were significantly higher in Haida No.1 than wild oysters, suggesting their involvement in growth regulation of C. gigas. Expression profiles of IIS and its downstream signaling pathway genes were significantly altered by nutrient abundance and culture temperature. These results suggested that IIS signaling pathway coupled with the ILPR mediated signaling pathways orchestrated energy homeostasis to regulate growth in the Pacific oyster.

show abstract

Response to selection for growth in three selected strains of the Pacific oyster Crassostrea gigas

Cited by 34 publications

References 31 publications

Genome-Wide Association and Genomic Prediction of Growth Traits in the European Flat Oyster (Ostrea edulis)

Genome-Wide Association and Genomic Prediction of Growth Traits in the European Flat Oyster (Ostrea edulis)

Genome-wide association and genomic prediction of growth traits in the European flat oyster (Ostrea edulis)

Insulin-like peptide receptor mediated signaling pathways orchestrate regulation of energy homeostasis in the Pacific oyster,Crassostrea gigas

Contact Info

Product

Resources

About