Integrated application of transcriptomics and metabolomics provides insights into the larval metamorphosis of pearl oyster (Pinctada fucata martensii)

Zhang, Jiabin; Xiong, Xinwei; Deng, Yuewen; Zheng, Zhe; Yang, Chuangye; Du, Xin

doi:10.1016/j.aquaculture.2020.736067

Cited by 28 publications

(17 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the relationships of bacterial communities in bivalve intestine and its aquaculture environment have been considered (Asmani et al, 2016;Lokmer et al, 2016;Laroche et al, 2018;Sun et al, 2019;Musella et al, 2020), those of pearl oyster intestine and its aquaculture environment have not been discussed. Pearl oyster (Pinctada fucata martensii) is a well-known filter feeder worldwide due to its capability to produce high-quality pearls (Yang et al, 2019a;Zhang et al, 2021). This species of oyster produces valuable pearls through biomineralization, succeeding the insertion of a mantle graft from a donor into the gonad of a recipient oyster together with a nucleus (He et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Microbiota Diversity in Pearl Oyster Pinctada fucata martensii Intestine and Its Aquaculture Environment

Zheng

Liao

et al. 2021

Front. Mar. Sci.

Self Cite

View full text Add to dashboard Cite

Environmental microbiota plays a vital role in the intestinal microbiota of aquatic organisms. However, data concerning the association between the intestinal microbiota of pearl oyster Pinctada fucata martensii and the surrounding seawater are limited. The existing bacterial communities in pearl oyster intestine and surrounding water from two sites (D and H, within Liusha Bay in Guangdong, China) were investigated using 16S rRNA-based sequencing to explore the relationship among the two. D located in the inner bay, and H located in the open sea area outside bay. Results revealed the richness and diversity of pearl oyster intestinal microbiota to be less than those of the surrounding water, with 38 phyla and 272 genera observed as a result of the classifiable sequence. The microbiota compositions in the intestine and the surrounding water were diversified at the phylum and genus levels, with the sequencing data being statistically significant. However, the functional prediction of microbiota emphasized the overall similarity in the functional profile of the surrounding seawater and intestinal microbiomes. This profile was associated with metabolism of cofactors and vitamin, carbohydrates metabolism, amino acids metabolism, metabolism of terpenoids, and polyketides, metabolism of other amino acids, lipids metabolism, and energy metabolism. Seven common operational taxonomic units (OTUs), which belonged to phyla Tenericutes, Cyanobacteria, and Planctomycetes, were noted in the intestines of pearl oysters from two different sites. These OTUs may be affiliates to the core microbiome of pearl oyster. Significantly different bacterial taxa in the intestines of pearl oysters from two different sites were found at the phylum and genus levels. This finding suggested that the bacterial communities in pearl oyster intestines may exhibit some plasticity to adapt to changes in the surrounding water-cultured environment. This study generally offers constructive discoveries associated with pearl oyster intestinal microbiota and provides guidance for sustainable aquaculture.

show abstract

Section: Introductionmentioning

confidence: 99%

Microbiota Diversity in Pearl Oyster Pinctada fucata martensii Intestine and Its Aquaculture Environment

Zheng

Liao

et al. 2021

Front. Mar. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Metabolomics has been proposed to be a model for metabolic studies ( Cappello et al, 2017 ; Cappello et al, 2018 ; Hao et al, 2018a ), to assess metabolic responses to nutritional deficiencies or excesses providing in-depth mechanistic insights to assist the development of optimized feeding regimes ( Alfaro and Young, 2018 ; Hao et al, 2018a ). Being an evolving technology and analytical tool, metabolomics is widely used to quantify low-molecular-weight metabolites using distinct tools categorized by the type of instrumental data and the functionality such as nuclear magnetic resonance (NMR), gas chromatography coupled to mass spectrometry (GC–MS), and liquid chromatography coupled with single-stage mass spectrometry (LC–MS) ( Alfaro and Young, 2018 ; Venter et al, 2018 ; Zhang et al, 2021 ; Yang et al, 2020 ; Young and Alfaro, 2018 ). Exploring this approach in evaluating impacts of limited food, nutrient being supplemented, modifications in nutrient quantities, and replacing protein or lipid diets in aquatic animals has been conducted ( Alfaro and Young, 2018 ; Yang et al, 2018b ).…”

Section: Introductionmentioning

confidence: 99%

Integrated GC–MS- and LC–MS-Based Untargeted Metabolomics Studies of the Effect of Vitamin D3 on Pearl Production Traits in Pearl Oyster Pinctada fucata martensii

Yang

Zeng

Liao

et al. 2021

Front. Mol. Biosci.

Self Cite

View full text Add to dashboard Cite

Pearl oyster Pinctada fucata martensii is widely recognized for biomineralization and has been cultured for high-quality marine pearl production. To ascertain how dietary vitamin D3 (VD3) levels affect the features of pearl production by P. f. martensii and discover the mechanisms regulating this occurrence, five experimental diets with variable levels of VD3 were used with inclusion levels of 0, 500, 1,000, 3,000, and 10,000 IU/kg. The distinct inclusion levels were distributed into five experimental groups (EG1, EG2, EG3, EG4, and EG5). All the experimental groups were reared indoors except the control group (CG) reared at the sea. Pearl oysters, one year and a half old, were used in the grafting operation to culture pearls. During the growing period that lasted 137 days, EG3 had the highest survival rate, retention rate, and high-quality pearl rate. A similar trend was found for EG3 and CG with significantly higher pearl thickness and nacre deposition rates than other groups, but no significant differences were observed between them. A metabolomics profiling using GC–MS and LC–MS of pearl oysters fed with low quantities of dietary VD3 and optimal levels of dietary VD3 revealed 135 statistically differential metabolites (SDMs) (VIP > 1 and p < 0.05). Pathway analysis indicated that SDMs were involved in 32 pathways, such as phenylalanine metabolism, histidine metabolism, glycerophospholipid metabolism, alanine aspartate and glutamate metabolism, arginine and proline metabolism, glycerolipid metabolism, amino sugar and nucleotide sugar metabolism, and tyrosine metabolism. These results provide a theoretical foundation for understanding the impacts of VD3 on pearl production traits in pearl oyster and reinforce forthcoming prospects and application of VD3 in pearl oyster in aquaculture rearing conditions.

show abstract

“…Metabolomics provides a "snapshot" of the metabolites and is particularly suitable for metabolic studies (Cappello et al, 2017(Cappello et al, , 2018. It is commonly used to quantify low-molecular-weight metabolites, such as sugars, lipids, and amino acids, through various tools such as gas chromatography-mass spectrometry, nuclear magnetic resonance, and liquid chromatography-mass spectrometry (LC-MS; Venter et al, 2018;Yang et al, 2021;Zhang J. B. et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Dietary Carbohydrate and Protein Levels Affect the Growth Performance of Juvenile Peanut Worm (Sipunculus nudus): An LC–MS-Based Metabolomics Study

et al. 2021

Self Cite

View full text Add to dashboard Cite

The peanut worm (Sipunculus nudus) is an economically important fishery resource in China. To determine how dietary carbohydrate and protein levels affect the growth performance of juvenile S. nudus and identify the mechanisms underlying observed patterns, five isoenergetic and isolipidic diets with different levels of carbohydrate and protein were formulated and fed to juvenile S. nudus; the experimental groups were referred to as EG1, EG2, EG3, EG4, and EG5, respectively. After 90 days of feeding, S. nudus had significantly lower survival rates when fed D5 compared with other diets (P < 0.05), and the highest survival rate was observed in EG2 individuals. The weight gain rate and specific growth rate were significantly higher in EG2 compared with the other groups (P < 0.05). Metabolomic profiling using liquid chromatography–mass spectrometry revealed 83 significantly differential metabolites (POS: 59; NEG: 24), which were identified via an in-house MS2 database. Pathway analysis indicated that the significantly different metabolites were involved in 22 metabolic pathways (POS: 9; NEG: 13), including tyrosine, phenylalanine, and tryptophan biosynthesis; phenylalanine metabolism; D-glutamate and D-glutamine metabolism; proline and arginine metabolism; aspartate, alanine, and glutamate metabolism; and aminoacyl-tRNA biosynthesis. These analyses implied that the biosynthetic capabilities of juvenile S. nudus were greater in the EG2. The results of this research enhance our understanding of the effects of dietary carbohydrate and protein levels on the growth performance of juvenile S. nudus.

show abstract

Integrated application of transcriptomics and metabolomics provides insights into the larval metamorphosis of pearl oyster (Pinctada fucata martensii)

Cited by 28 publications

References 56 publications

Microbiota Diversity in Pearl Oyster Pinctada fucata martensii Intestine and Its Aquaculture Environment

Microbiota Diversity in Pearl Oyster Pinctada fucata martensii Intestine and Its Aquaculture Environment

Integrated GC–MS- and LC–MS-Based Untargeted Metabolomics Studies of the Effect of Vitamin D3 on Pearl Production Traits in Pearl Oyster Pinctada fucata martensii

Dietary Carbohydrate and Protein Levels Affect the Growth Performance of Juvenile Peanut Worm (Sipunculus nudus): An LC–MS-Based Metabolomics Study

Contact Info

Product

Resources

About