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| Main Authors: | , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Marine life science & technology
2025
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40919467/ |
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| _version_ | 1868266154883022849 |
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| author | Wei, Jiehong Xiao, Yongshuang Loh, Kar-Hoe Herrera-Ulloa, Angel Liu, Jing Xu, Kuidong |
| author_facet | Wei, Jiehong Xiao, Yongshuang Loh, Kar-Hoe Herrera-Ulloa, Angel Liu, Jing Xu, Kuidong Wei, Jiehong Xiao, Yongshuang Loh, Kar-Hoe Herrera-Ulloa, Angel Liu, Jing Xu, Kuidong |
| collection | PubMed - marine biology |
| contents | Latitudinal-environmental variations driving the local adaptation of stocks along the Chinese coast. Wei, Jiehong Xiao, Yongshuang Loh, Kar-Hoe Herrera-Ulloa, Angel Liu, Jing Xu, Kuidong The distribution of (Euphrasen, 1788) spans a pronounced latitudinal-environmental gradient from the subtropical to the subpolar zones. The species is reported to have multiple stocks along coastal China, exhibiting different spawning behaviors and habitat preferences. Such ecological variations might imply potential genetic divergence and local adaptation. We resequenced 117 genomes from six coastal stocks of . in China. Although no hierarchical genetic structure was identified, over 50% of the single-nucleotide polymorphisms (SNPs) indicated moderate to strong divergence in at least two stocks. The Mantel test identified 21 100-kb sliding windows with significant isolation by distance and environment, while a majority did not. Given the lack of genome-wide isolation by distance, the 21 windows may be under selection pressure from the latitudinal-environmental variations. Among the 21 windows, certain genes were linked to circadian clock regulation and thermal stress response, suggesting sea surface temperature and sunshine duration as selective forces. A total of 17 genes regulated neuron activity; variations near these genes might subsequently shape the different spawning and migratory behaviors among the stocks. Additionally, 1204 SNPs were mapped to non-coding regions; 14 transcriptional and translational factors were identified in the 21 windows. These findings imply that alterations in gene expression might contribute to the local adaptation of the stocks. The online version contains supplementary material available at 10.1007/s42995-025-00312-x. |
| format | Artículo científico |
| id | pubmed_40919467 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Marine life science & technology |
| record_format | pubmed |
| spellingShingle | Latitudinal-environmental variations driving the local adaptation of stocks along the Chinese coast. Wei, Jiehong Xiao, Yongshuang Loh, Kar-Hoe Herrera-Ulloa, Angel Liu, Jing Xu, Kuidong Latitudinal-environmental variations driving the local adaptation of stocks along the Chinese coast. Wei, Jiehong Xiao, Yongshuang Loh, Kar-Hoe Herrera-Ulloa, Angel Liu, Jing Xu, Kuidong The distribution of (Euphrasen, 1788) spans a pronounced latitudinal-environmental gradient from the subtropical to the subpolar zones. The species is reported to have multiple stocks along coastal China, exhibiting different spawning behaviors and habitat preferences. Such ecological variations might imply potential genetic divergence and local adaptation. We resequenced 117 genomes from six coastal stocks of . in China. Although no hierarchical genetic structure was identified, over 50% of the single-nucleotide polymorphisms (SNPs) indicated moderate to strong divergence in at least two stocks. The Mantel test identified 21 100-kb sliding windows with significant isolation by distance and environment, while a majority did not. Given the lack of genome-wide isolation by distance, the 21 windows may be under selection pressure from the latitudinal-environmental variations. Among the 21 windows, certain genes were linked to circadian clock regulation and thermal stress response, suggesting sea surface temperature and sunshine duration as selective forces. A total of 17 genes regulated neuron activity; variations near these genes might subsequently shape the different spawning and migratory behaviors among the stocks. Additionally, 1204 SNPs were mapped to non-coding regions; 14 transcriptional and translational factors were identified in the 21 windows. These findings imply that alterations in gene expression might contribute to the local adaptation of the stocks. The online version contains supplementary material available at 10.1007/s42995-025-00312-x. |
| title | Latitudinal-environmental variations driving the local adaptation of stocks along the Chinese coast. |
| url | https://pubmed.ncbi.nlm.nih.gov/40919467/ |