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  • 标题:Identification of stress-related genes by co-expression network analysis based on the improved turbot genome
  • 本地全文:下载
  • 作者:Xi-wen Xu ; Weiwei Zheng ; Zhen Meng
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-10
  • DOI:10.1038/s41597-022-01458-4
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要:Turbot (Scophthalmus maximus), commercially important fatfsh 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 identifed 104.45 Mb repetitive sequences, 22,442 protein-coding genes and 3,345 ncRNAs . Moreover, a total of 345 stress responsive candidate genes were identifed by gene co-expression network analysis based on 14 published stress-related RNA-seq datasets consisting of 165 samples . Signifcantly 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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