Comprehensive Transcriptome Sequencing and Analysis of Euspira gilva: Insights into Aquaculture and Conservation
文献类型: 外文期刊
第一作者: Su, Zhixing
作者: Su, Zhixing;Xu, Jiayuan;Lv, Xiaokang;Song, Xuefeng;Wang, Xiaoshan;Zhang, Bianbian;Tang, Baojun;Yang, Liguo;Sui, Yanming;Wang, Benjian;Yang, Liguo
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期刊名称:FISHES ( 影响因子:2.4; 五年影响因子:2.4 )
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年卷期: 2024 年 9 卷 12 期
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收录情况: SCI
摘要: Euspira gilva, a member of the family Naticidae, is predominantly found in intertidal soft mud, sandy soil, and sandy seabeds along the coast of China, where it is valued for its nutritional richness and significant economic value. This study presents a comprehensive transcriptome sequencing and analysis of E. gilva specimens from the Lianyungang area, yielding 3385 high-quality isoform sequences and 3310 non-redundant transcripts. Annotation against various databases, including NR, Swiss-Prot, KEGG, KOG, eggNOG, GO, and Pfam, successfully annotated a significant number of transcripts. A total of 7929 simple sequence repeat (SSR) loci were identified, with single nucleotide repeats predominating at 85.0%. Predictive analysis of coding DNA sequences (CDS) resulted in 1340 BLAST comparisons, while ESTScan predicted 840. Further, 530 long non-coding RNAs (lncRNAs) were identified through the application of the CPC2, CNCI, Pfam, and PLEK algorithms. The highest overall sequence similarity in the NR database was observed with Pomacea canaliculata, a freshwater species, but with a similarity of only 36.6%, indicating a unique genetic makeup of E. gilva. The KEGG database annotation revealed a predominance of signal transduction pathways, particularly the PI3K-Akt signaling pathway, with 29 non-redundant transcripts encoding key genes such as IGH (immunoglobulin heavy chain), PCK (phosphoenolpyruvate carboxykinase), COL2A (collagen, type II, alpha), ITGB1 (integrin beta 1), and GNG7 (guanine nucleotide-binding protein G(I)/G(S)/G(O) subunit gamma-7). These genes play crucial roles in cellular processes, including cell growth, transcription, translation, proliferation, movement, and glycogen metabolism. The findings of this research elucidate the full-length transcriptome profile of E. gilva, thereby establishing a foundational dataset and providing valuable insights for the species' aquaculture, health management, conservation efforts, and future molecular biological investigations.
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