Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network

Abstract Background Oyster is rich in glycogen and free amino acids and is called “the milk of sea”. To understand the main genetic effects of these traits and the genetic networks underlying their correlation, we have conducted the whole genome resequencing with 427 oysters collected from the world...

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Published in:BMC Genomics
Main Authors: Jie Meng, Kai Song, Chunyan Li, Sheng Liu, Ruihui Shi, Busu Li, Ting Wang, Ao Li, Huayong Que, Li Li, Guofan Zhang
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2019
Subjects:
Online Access:https://doi.org/10.1186/s12864-019-5971-z
https://doaj.org/article/d7cba96f7d594bfca37efba623e0dcb0
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spelling ftdoajarticles:oai:doaj.org/article:d7cba96f7d594bfca37efba623e0dcb0 2023-05-15T15:58:46+02:00 Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network Jie Meng Kai Song Chunyan Li Sheng Liu Ruihui Shi Busu Li Ting Wang Ao Li Huayong Que Li Li Guofan Zhang 2019-07-01T00:00:00Z https://doi.org/10.1186/s12864-019-5971-z https://doaj.org/article/d7cba96f7d594bfca37efba623e0dcb0 EN eng BMC http://link.springer.com/article/10.1186/s12864-019-5971-z https://doaj.org/toc/1471-2164 doi:10.1186/s12864-019-5971-z 1471-2164 https://doaj.org/article/d7cba96f7d594bfca37efba623e0dcb0 BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019) Oyster Nutrient traits Genome resequencing Population structure Genome-wide association study Genetic network Biotechnology TP248.13-248.65 Genetics QH426-470 article 2019 ftdoajarticles https://doi.org/10.1186/s12864-019-5971-z 2022-12-31T08:44:21Z Abstract Background Oyster is rich in glycogen and free amino acids and is called “the milk of sea”. To understand the main genetic effects of these traits and the genetic networks underlying their correlation, we have conducted the whole genome resequencing with 427 oysters collected from the world-wide scale. Results After association analysis, 168 clustered significant single nucleotide polymorphism (SNP) loci were identified for glycogen content and 17 SNPs were verified with 288 oyster individuals in another wide populations. These were the most important candidate loci for oyster breeding. Among 24 genes in the 100-kb regions of the leading SNP loci, cytochrome P450 17A1 (CYP17A1) contained a non-synonymous SNP and displayed higher expressions in high glycogen content individuals. This might enhance the gluconeogenesis process by the transcriptionally regulating the expression of phosphoenolpyruvate carboxykinase (PEPCK) and glucose 6-phosphatase (G6Pase). Also, for amino acids content, 417 clustered significant SNPs were identified. After genetic network analysis, three node SNP regions were identified to be associated with glycogen, protein, and Asp content, which might explain their significant correlation. Conclusion Overall, this study provides insights into the genetic correlation among complex traits, which will facilitate future oyster functional studies and breeding through molecular design. Article in Journal/Newspaper Crassostrea gigas Directory of Open Access Journals: DOAJ Articles BMC Genomics 20 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Oyster
Nutrient traits
Genome resequencing
Population structure
Genome-wide association study
Genetic network
Biotechnology
TP248.13-248.65
Genetics
QH426-470
spellingShingle Oyster
Nutrient traits
Genome resequencing
Population structure
Genome-wide association study
Genetic network
Biotechnology
TP248.13-248.65
Genetics
QH426-470
Jie Meng
Kai Song
Chunyan Li
Sheng Liu
Ruihui Shi
Busu Li
Ting Wang
Ao Li
Huayong Que
Li Li
Guofan Zhang
Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network
topic_facet Oyster
Nutrient traits
Genome resequencing
Population structure
Genome-wide association study
Genetic network
Biotechnology
TP248.13-248.65
Genetics
QH426-470
description Abstract Background Oyster is rich in glycogen and free amino acids and is called “the milk of sea”. To understand the main genetic effects of these traits and the genetic networks underlying their correlation, we have conducted the whole genome resequencing with 427 oysters collected from the world-wide scale. Results After association analysis, 168 clustered significant single nucleotide polymorphism (SNP) loci were identified for glycogen content and 17 SNPs were verified with 288 oyster individuals in another wide populations. These were the most important candidate loci for oyster breeding. Among 24 genes in the 100-kb regions of the leading SNP loci, cytochrome P450 17A1 (CYP17A1) contained a non-synonymous SNP and displayed higher expressions in high glycogen content individuals. This might enhance the gluconeogenesis process by the transcriptionally regulating the expression of phosphoenolpyruvate carboxykinase (PEPCK) and glucose 6-phosphatase (G6Pase). Also, for amino acids content, 417 clustered significant SNPs were identified. After genetic network analysis, three node SNP regions were identified to be associated with glycogen, protein, and Asp content, which might explain their significant correlation. Conclusion Overall, this study provides insights into the genetic correlation among complex traits, which will facilitate future oyster functional studies and breeding through molecular design.
format Article in Journal/Newspaper
author Jie Meng
Kai Song
Chunyan Li
Sheng Liu
Ruihui Shi
Busu Li
Ting Wang
Ao Li
Huayong Que
Li Li
Guofan Zhang
author_facet Jie Meng
Kai Song
Chunyan Li
Sheng Liu
Ruihui Shi
Busu Li
Ting Wang
Ao Li
Huayong Que
Li Li
Guofan Zhang
author_sort Jie Meng
title Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network
title_short Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network
title_full Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network
title_fullStr Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network
title_full_unstemmed Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network
title_sort genome-wide association analysis of nutrient traits in the oyster crassostrea gigas: genetic effect and interaction network
publisher BMC
publishDate 2019
url https://doi.org/10.1186/s12864-019-5971-z
https://doaj.org/article/d7cba96f7d594bfca37efba623e0dcb0
genre Crassostrea gigas
genre_facet Crassostrea gigas
op_source BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
op_relation http://link.springer.com/article/10.1186/s12864-019-5971-z
https://doaj.org/toc/1471-2164
doi:10.1186/s12864-019-5971-z
1471-2164
https://doaj.org/article/d7cba96f7d594bfca37efba623e0dcb0
op_doi https://doi.org/10.1186/s12864-019-5971-z
container_title BMC Genomics
container_volume 20
container_issue 1
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