Chromosome level genome assembly of giant freshwater prawn (Macrobrachium rosenbergii).

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Scientific Data Pub Date : 2024-10-30 DOI:10.1038/s41597-024-04016-2

Shiyan Liu, Meihui Li, Chong Han, Shuisheng Li, Jin Zhang, Cheng Peng, Yong Zhang

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引用次数: 0

Abstract

The giant freshwater prawn (Macrobrachium rosenbergii) has many advantages in aquaculture, such as fast growth rate, short breeding cycle and good nutrition, which makes it a freshwater shrimp with high economic value. Herein, high-quality chromosome-level genome of both female and male prawns were obtained by combining Illumina paired-end sequencing, PacBio single molecule sequencing technique and High-through chromosome conformation capture (Hi-C) technologies. In ZZ male prawn, a final contig assembly of 3118.58 Mb with a N50 length of 956,237 bp was obtained. In WW female prawn, a final contig assembly of 3333.31 Mb with a N50 length of 1,143,555 bp was obtained. The assembled genome sequences from prawns were anchored to 59 chromosomes. Moreover, the sex chromosomes including W chromosome and Z chromosome were generated in prawn with the length of 36.23 Mb and 27.33 Mb, respectively. The sequence similarity of Z chromosome and W chromosome reached to 74.90%. The high-quality genome resource will be useful for further molecular breeding and functional genomic research of giant freshwater prawns.

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巨型淡水对虾（Macrobrachium rosenbergii）染色体水平的基因组组装。

大宗淡水对虾（Macrobrachium rosenbergii）具有生长速度快、养殖周期短、营养丰富等诸多养殖优势，是一种经济价值极高的淡水对虾。本文结合Illumina成对端测序、PacBio单分子测序技术和High-through染色体构象捕获（Hi-C）技术，获得了高质量的雌雄对虾染色体组水平的基因组。在 ZZ 雄对虾中，最终获得了 3118.58 Mb 的序列，N50 长度为 956237 bp。在 WW 雌对虾中，最终获得了 3333.31 Mb 的等位基因序列，N50 长度为 1,143,555 bp。组装的对虾基因组序列锚定在 59 条染色体上。此外，对虾的性染色体包括 W 染色体和 Z 染色体，长度分别为 36.23 Mb 和 27.33 Mb。Z 染色体与 W 染色体的序列相似度达到 74.90%。高质量的基因组资源将有助于进一步开展大宗淡水对虾的分子育种和功能基因组研究。

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来源期刊

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.