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Whole-genome sequencing reveals sex determination and liver high-fat storage mechanisms of yellowstripe goby (Mugilogobius chulae).


ABSTRACT: As a promising novel marine fish model for future research on marine ecotoxicology as well as an animal model of human disease, the genome information of yellowstripe goby (Mugilogobius chulae) remains unknown. Here we report the first annotated chromosome-level reference genome assembly for yellowstripe goby. A 20.67-cM sex determination region was discovered on chromosome 5 and seven potential sex-determining genes were identified. Based on combined genome and transcriptome data, we identified three key lipid metabolic pathways for high-fat accumulation in the liver of yellowstripe goby. The changes in the expression patterns of MGLL and CPT1 at different development stage of the liver, and the expansion of the ABCA1 gene, innate immune gene TLR23, and TRIM family genes may help in balancing high-fat storage in hepatocytes and steatohepatitis. These results may provide insights into understanding the molecular mechanisms of sex determination and high-fat storage in the liver of marine fishes.

SUBMITTER: Cai L 

PROVIDER: S-EPMC7782490 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Whole-genome sequencing reveals sex determination and liver high-fat storage mechanisms of yellowstripe goby (Mugilogobius chulae).

Cai Lei L   Liu Guocheng G   Wei Yuanzheng Y   Zhu Yabing Y   Li Jianjun J   Miao Zongyu Z   Chen Meili M   Yue Zhen Z   Yu Lujun L   Dong Zhensheng Z   Ye Huixin H   Sun Wenjing W   Huang Ren R  

Communications biology 20210104 1


As a promising novel marine fish model for future research on marine ecotoxicology as well as an animal model of human disease, the genome information of yellowstripe goby (Mugilogobius chulae) remains unknown. Here we report the first annotated chromosome-level reference genome assembly for yellowstripe goby. A 20.67-cM sex determination region was discovered on chromosome 5 and seven potential sex-determining genes were identified. Based on combined genome and transcriptome data, we identified  ...[more]

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