银唇珍珠牡蛎染色体水平的基因组组装与注释。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Qianqian Mu, Zijian Li, Mingyang Liu, Baojun Zhao, Zhihui Yang, Zhenmin Bao, Jingjie Hu, Pingping Liu
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引用次数: 0

摘要

银唇珍珠牡蛎是一种珍贵的热带水产养殖品种,在全球珍珠产业中起着至关重要的经济作用。然而,缺乏基因组参考,限制了我们对该物种基因组育种、保护、进化和适应的深入了解。本文通过整合PacBio长读测序、Illumina短读测序和Hi-C测序数据,生成带注释的P. maxima染色体水平参考基因组。总基因组大小为1264.93 Mb,其中contig N50和scaffold N50分别为649 kb和89.19 Mb。经Hi-C分析,大部分(97.94%)组装的基因组锚定在14条染色体上。基因组完整性较高,分别为97.38% (metazoa_odb10数据库)和95.26% (mollusca_odb10数据库)。基因组注释揭示了65.46%的重复序列和26315个蛋白质编码基因。比较基因组分析显示28个扩展家族和48个收缩家族
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The chromosome-level genome assembly and annotation of the silver-lipped pearl oyster, Pinctada maxima.

The chromosome-level genome assembly and annotation of the silver-lipped pearl oyster, Pinctada maxima.

The chromosome-level genome assembly and annotation of the silver-lipped pearl oyster, Pinctada maxima.

The silver-lipped pearl oyster (Pinctada maxima) is a valuable tropical aquaculture species, playing a crucial economic role in the global pearl industry. However, the lack of genomic reference limits our in-depth understanding of this species in genome-based breeding, conservation, evolution and adaptation. Here, annotated chromosome-level reference genome for P. maxima was generated by integrating PacBio long-read sequencing, Illumina short-read sequencing, and Hi-C sequencing data. The total genome size is 1,264.93 Mb, with contig N50 and scaffold N50 of 649 kb and 89.19 Mb, respectively. The majority (97.94%) of the assembled genome was anchored to the 14 chromosomes by Hi-C analysis. The relatively high genome completeness was observed, with 97.38% (metazoa_odb10 database) and 95.26% (mollusca_odb10 database) in BUSCO analysis. Genome annotation revealed approximately 65.46% of the repeat sequences and 26,315 protein-coding genes. Comparative genome analysis revealed 28 expanded and 48 contracted families (p < 0.05) in P. maxima, with 3.2% of genes (894) being species-specific. This chromosome-level genome serves as an essential resource for research in evolutionary genomics, phylogenetics, and biomineralization.

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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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