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Identification of stress-related genes by co-expression network analysis based on the improved turbot genome

Turbot (Scophthalmus maximus), commercially important flatfish species, is widely cultivated in Europe and China. With the continuous expansion of the intensive breeding scale, turbot is exposed to various stresses, which greatly impedes the healthy development of turbot industry. Here, we present a...

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Autores principales: Xu, Xi-wen, Zheng, Weiwei, Meng, Zhen, Xu, Wenteng, Liu, Yingjie, Chen, Songlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243025/
https://www.ncbi.nlm.nih.gov/pubmed/35768602
http://dx.doi.org/10.1038/s41597-022-01458-4
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author Xu, Xi-wen
Zheng, Weiwei
Meng, Zhen
Xu, Wenteng
Liu, Yingjie
Chen, Songlin
author_facet Xu, Xi-wen
Zheng, Weiwei
Meng, Zhen
Xu, Wenteng
Liu, Yingjie
Chen, Songlin
author_sort Xu, Xi-wen
collection PubMed
description Turbot (Scophthalmus maximus), commercially important flatfish species, is widely cultivated in Europe and China. With the continuous expansion of the intensive breeding scale, turbot is exposed to various stresses, which greatly impedes the healthy development of turbot industry. Here, we present an improved high-quality chromosome-scale genome assembly of turbot using a combination of PacBio long-read and Illumina short-read sequencing technologies. The genome assembly spans 538.22 Mb comprising 27 contigs with a contig N50 size of 25.76 Mb. Annotation of the genome assembly identified 104.45 Mb repetitive sequences, 22,442 protein-coding genes and 3,345 ncRNAs. Moreover, a total of 345 stress responsive candidate genes were identified by gene co-expression network analysis based on 14 published stress-related RNA-seq datasets consisting of 165 samples. Significantly improved genome assembly and stress-related candidate gene pool will provide valuable resources for further research on turbot functional genome and stress response mechanism, as well as theoretical support for the development of molecular breeding technology for resistant turbot varieties.
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spelling pubmed-92430252022-07-01 Identification of stress-related genes by co-expression network analysis based on the improved turbot genome Xu, Xi-wen Zheng, Weiwei Meng, Zhen Xu, Wenteng Liu, Yingjie Chen, Songlin Sci Data Data Descriptor Turbot (Scophthalmus maximus), commercially important flatfish species, is widely cultivated in Europe and China. With the continuous expansion of the intensive breeding scale, turbot is exposed to various stresses, which greatly impedes the healthy development of turbot industry. Here, we present an improved high-quality chromosome-scale genome assembly of turbot using a combination of PacBio long-read and Illumina short-read sequencing technologies. The genome assembly spans 538.22 Mb comprising 27 contigs with a contig N50 size of 25.76 Mb. Annotation of the genome assembly identified 104.45 Mb repetitive sequences, 22,442 protein-coding genes and 3,345 ncRNAs. Moreover, a total of 345 stress responsive candidate genes were identified by gene co-expression network analysis based on 14 published stress-related RNA-seq datasets consisting of 165 samples. Significantly improved genome assembly and stress-related candidate gene pool will provide valuable resources for further research on turbot functional genome and stress response mechanism, as well as theoretical support for the development of molecular breeding technology for resistant turbot varieties. Nature Publishing Group UK 2022-06-29 /pmc/articles/PMC9243025/ /pubmed/35768602 http://dx.doi.org/10.1038/s41597-022-01458-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Xu, Xi-wen
Zheng, Weiwei
Meng, Zhen
Xu, Wenteng
Liu, Yingjie
Chen, Songlin
Identification of stress-related genes by co-expression network analysis based on the improved turbot genome
title Identification of stress-related genes by co-expression network analysis based on the improved turbot genome
title_full Identification of stress-related genes by co-expression network analysis based on the improved turbot genome
title_fullStr Identification of stress-related genes by co-expression network analysis based on the improved turbot genome
title_full_unstemmed Identification of stress-related genes by co-expression network analysis based on the improved turbot genome
title_short Identification of stress-related genes by co-expression network analysis based on the improved turbot genome
title_sort identification of stress-related genes by co-expression network analysis based on the improved turbot genome
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243025/
https://www.ncbi.nlm.nih.gov/pubmed/35768602
http://dx.doi.org/10.1038/s41597-022-01458-4
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