Chromosome-level genome assembly of the intertidal lucinid clam Indoaustriella scarlatoi.

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Data Pub Date : 2025-02-15 DOI:10.1038/s41597-025-04606-8
Yang Guo, Zhaoshan Zhong, Nannan Zhang, Minxiao Wang, Chaolun Li
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Abstract

Lucinidae, renowned as the most diverse chemosymbiotic invertebrate group, functions as a sulfide cleaner in coastal ecosystems and is thus ecologically important. Despite their significance, genomic studies on these organisms have been limited. Here, we present the chromosome-level genome assembly of Indoaustriella scarlatoi, an intertidal lucinid clam. Employing both short and long reads, and Hi-C sequencing, we assembled a 1.58 Gb genome comprising 690 contigs with a contig N50 length of 9.00 Mb, which were anchored to 17 chromosomes. The genome exhibits a high completeness of 95.4%, as assessed by the BUSCO analysis. Transposable elements account for 56.02% of the genome, with long terminal repeat retrotransposons (LTR, 42.66%) being the most abundant. We identified 34,469 protein-coding genes, 74.43% of which were functionally annotated. This high-quality genome assembly serves as a valuable resource for further studies on the evolutionary and ecological aspects of chemosymbiotic bivalves.

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潮间带lucinid clam indoaustrella scarlatoi染色体水平基因组组装。
Lucinidae作为最多样化的化学共生无脊椎动物群而闻名,在沿海生态系统中起着硫化物清洁器的作用,因此具有重要的生态意义。尽管它们意义重大,但对这些生物的基因组研究一直有限。在这里,我们提出了indoaustrella scarlatoi的染色体水平的基因组组装,潮间带lucinid蛤。采用长、短双读法和Hi-C测序,我们组装了一个1.58 Gb的基因组,包含690个contigs, N50长度为9.00 Mb,锚定在17条染色体上。通过BUSCO分析,该基因组显示出95.4%的高完整性。转座因子占整个基因组的56.02%,其中以长末端重复反转录转座子(LTR, 42.66%)最为丰富。共鉴定出34,469个蛋白质编码基因,其中74.43%被功能注释。这种高质量的基因组组装为进一步研究化学共生双壳类的进化和生态方面提供了宝贵的资源。
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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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