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

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 sc...

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Published in:BMC Genomics
Main Authors: Meng, Jie, Song, Kai, Li, Chunyan, Liu, Sheng, Shi, Ruihui, Li, Busu, Wang, Ting, Li, Ao, Que, Huayong, Li, Li, Zhang, Guofan
Format: Text
Language:English
Published: BioMed Central 2019
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670154/
http://www.ncbi.nlm.nih.gov/pubmed/31366319
https://doi.org/10.1186/s12864-019-5971-z
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spelling ftpubmed:oai:pubmedcentral.nih.gov:6670154 2023-05-15T15:58:48+02:00 Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network Meng, Jie Song, Kai Li, Chunyan Liu, Sheng Shi, Ruihui Li, Busu Wang, Ting Li, Ao Que, Huayong Li, Li Zhang, Guofan 2019-07-31 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670154/ http://www.ncbi.nlm.nih.gov/pubmed/31366319 https://doi.org/10.1186/s12864-019-5971-z en eng BioMed Central http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670154/ http://www.ncbi.nlm.nih.gov/pubmed/31366319 http://dx.doi.org/10.1186/s12864-019-5971-z © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. CC0 PDM CC-BY Research Article Text 2019 ftpubmed https://doi.org/10.1186/s12864-019-5971-z 2019-08-18T00:32:47Z 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5971-z) contains supplementary material, which is available to authorized users. Text Crassostrea gigas PubMed Central (PMC) BMC Genomics 20 1
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Meng, Jie
Song, Kai
Li, Chunyan
Liu, Sheng
Shi, Ruihui
Li, Busu
Wang, Ting
Li, Ao
Que, Huayong
Li, Li
Zhang, Guofan
Genome-wide association analysis of nutrient traits in the oyster Crassostrea gigas: genetic effect and interaction network
topic_facet Research Article
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5971-z) contains supplementary material, which is available to authorized users.
format Text
author Meng, Jie
Song, Kai
Li, Chunyan
Liu, Sheng
Shi, Ruihui
Li, Busu
Wang, Ting
Li, Ao
Que, Huayong
Li, Li
Zhang, Guofan
author_facet Meng, Jie
Song, Kai
Li, Chunyan
Liu, Sheng
Shi, Ruihui
Li, Busu
Wang, Ting
Li, Ao
Que, Huayong
Li, Li
Zhang, Guofan
author_sort Meng, Jie
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 BioMed Central
publishDate 2019
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670154/
http://www.ncbi.nlm.nih.gov/pubmed/31366319
https://doi.org/10.1186/s12864-019-5971-z
genre Crassostrea gigas
genre_facet Crassostrea gigas
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6670154/
http://www.ncbi.nlm.nih.gov/pubmed/31366319
http://dx.doi.org/10.1186/s12864-019-5971-z
op_rights © The Author(s). 2019
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
op_rightsnorm CC0
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CC-BY
op_doi https://doi.org/10.1186/s12864-019-5971-z
container_title BMC Genomics
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