Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas)
The condition index (CI) is an economically important tool for assessing the quality of oysters, such as the Pacific oyster Crassostrea gigas. However, little is known about the mechanisms that underlie differences in CI between different C. gigas populations. In this study, we integrated transcript...
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2022
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Online Access: | http://ir.qdio.ac.cn/handle/337002/179857 http://ir.qdio.ac.cn/handle/337002/179858 https://doi.org/10.1016/j.ygeno.2022.110413 |
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ftchinacasciocas:oai:ir.qdio.ac.cn:337002/179858 2023-05-15T15:57:32+02:00 Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas) He, Xin Wu, Fucun Wang, Luping Li, Li Zhang, Guofan 2022-07-01 http://ir.qdio.ac.cn/handle/337002/179857 http://ir.qdio.ac.cn/handle/337002/179858 https://doi.org/10.1016/j.ygeno.2022.110413 英语 eng ACADEMIC PRESS INC ELSEVIER SCIENCE GENOMICS http://ir.qdio.ac.cn/handle/337002/179857 http://ir.qdio.ac.cn/handle/337002/179858 doi:10.1016/j.ygeno.2022.110413 Crassostrea gigas Condition index Transcriptomics Metabolomics Seafood Biotechnology & Applied Microbiology Genetics & Heredity 期刊论文 2022 ftchinacasciocas https://doi.org/10.1016/j.ygeno.2022.110413 2023-01-16T16:14:20Z The condition index (CI) is an economically important tool for assessing the quality of oysters, such as the Pacific oyster Crassostrea gigas. However, little is known about the mechanisms that underlie differences in CI between different C. gigas populations. In this study, we integrated transcriptomic and metabolomic profiling to investigate the mechanisms that underlie the differences between high- and low-CI groups in one- and two-year-old populations of C. gigas. The results indicate that differences in CI were associated with the regulation of growth-related genes, the FoxO signaling pathway, and the complex regulation of carbohydrate, lipid, amino acid, and energy metabolism. Moreover, the mechanisms underlying these differences differed between the populations. This study is the first to elucidate the molecular and chemical mechanisms associated with CI, and the results will be helpful for breeding higher quality oysters. Report Crassostrea gigas Pacific oyster Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR Pacific Genomics 114 4 110413 |
institution |
Open Polar |
collection |
Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR |
op_collection_id |
ftchinacasciocas |
language |
English |
topic |
Crassostrea gigas Condition index Transcriptomics Metabolomics Seafood Biotechnology & Applied Microbiology Genetics & Heredity |
spellingShingle |
Crassostrea gigas Condition index Transcriptomics Metabolomics Seafood Biotechnology & Applied Microbiology Genetics & Heredity He, Xin Wu, Fucun Wang, Luping Li, Li Zhang, Guofan Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas) |
topic_facet |
Crassostrea gigas Condition index Transcriptomics Metabolomics Seafood Biotechnology & Applied Microbiology Genetics & Heredity |
description |
The condition index (CI) is an economically important tool for assessing the quality of oysters, such as the Pacific oyster Crassostrea gigas. However, little is known about the mechanisms that underlie differences in CI between different C. gigas populations. In this study, we integrated transcriptomic and metabolomic profiling to investigate the mechanisms that underlie the differences between high- and low-CI groups in one- and two-year-old populations of C. gigas. The results indicate that differences in CI were associated with the regulation of growth-related genes, the FoxO signaling pathway, and the complex regulation of carbohydrate, lipid, amino acid, and energy metabolism. Moreover, the mechanisms underlying these differences differed between the populations. This study is the first to elucidate the molecular and chemical mechanisms associated with CI, and the results will be helpful for breeding higher quality oysters. |
format |
Report |
author |
He, Xin Wu, Fucun Wang, Luping Li, Li Zhang, Guofan |
author_facet |
He, Xin Wu, Fucun Wang, Luping Li, Li Zhang, Guofan |
author_sort |
He, Xin |
title |
Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas) |
title_short |
Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas) |
title_full |
Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas) |
title_fullStr |
Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas) |
title_full_unstemmed |
Integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the Pacific oyster (Crassostrea gigas) |
title_sort |
integrated application of transcriptomics and metabolomics provides insights into condition index difference mechanisms in the pacific oyster (crassostrea gigas) |
publisher |
ACADEMIC PRESS INC ELSEVIER SCIENCE |
publishDate |
2022 |
url |
http://ir.qdio.ac.cn/handle/337002/179857 http://ir.qdio.ac.cn/handle/337002/179858 https://doi.org/10.1016/j.ygeno.2022.110413 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Crassostrea gigas Pacific oyster |
genre_facet |
Crassostrea gigas Pacific oyster |
op_relation |
GENOMICS http://ir.qdio.ac.cn/handle/337002/179857 http://ir.qdio.ac.cn/handle/337002/179858 doi:10.1016/j.ygeno.2022.110413 |
op_doi |
https://doi.org/10.1016/j.ygeno.2022.110413 |
container_title |
Genomics |
container_volume |
114 |
container_issue |
4 |
container_start_page |
110413 |
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1766393197890633728 |