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Comprehensive Transcriptome Sequencing and Analysis of Euspira gilva: Insights into Aquaculture and Conservation

Zhixing Su; Jiayuan Xu; Xiaokang Lv; Xuefeng Song; Yanming Sui; Benjian Wang; Xiaoshan Wang; Bianbian Zhang; Baojun Tang; Liguo Yang
Fishes · Vol. 9, Issue 12 · pp. 483 · 2024

Abstract

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.

Bibliographic Information

JournalFishes
PublisherMDPI
Publication Date2024-11-28
Publication Year2024
Volume9
Issue12
Pages483
Document TypeJournal Article
eISSN2410-3888
DOI10.3390/fishes9120483
SubjectFisheries; fish biology; aquaculture; aquatic ecology; fisheries management

Access Information

NARA Access CoverageOA / free full text
Journal Homepagehttps://www.mdpi.com/journal/fishes
Publisher PageOpen Publisher Page
This article is openly available from the publisher.