Chromosome-level genome assembly of a critically endangered species Leuciscus chuanchicus.

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Qi Wang, Qi Zhou, Hongyan Liu, Jiongtang Li, Yanliang Jiang
{"title":"Chromosome-level genome assembly of a critically endangered species Leuciscus chuanchicus.","authors":"Qi Wang, Qi Zhou, Hongyan Liu, Jiongtang Li, Yanliang Jiang","doi":"10.1038/s41597-025-04787-2","DOIUrl":null,"url":null,"abstract":"<p><p>Leuciscus chuanchicus, a critically endangered cyprinid endemic in the Yellow River, represents an evolutionary significant lineage within Leuciscinae. However, conservation efforts for this species have been hindered by the lack of genetic and genomic resources. Here we reported a high-quality chromosome-level genome of L. chuanchicus by combining Illumina reads, PacBio HiFi long reads and Hi-C data. The assembled genome size was 1.16 Gb, with a contig N50 size of 31,116,631 bp and a scaffold N50 size of 43,855,677 bp. The resulting 130 scaffolds were further clustered and ordered into 25 chromosomes based on the Hi-C data, representing 97.84% of the assembled sequences. The genome contained 60.36% repetitive sequences and 35,014 noncoding RNAs. A total of 31,196 protein-coding genes were predicted, of which 28,323 (90.79%) were functionally annotated. The BUSCO and OMArk revealed 97.6% and 91.28% completion rates, respectively. This study assembled a high-quality genome of L. chuanchicus, and provided fundamental genomic resources for investigating the molecular mechanism and evolution of the Leuciscinae.</p>","PeriodicalId":21597,"journal":{"name":"Scientific Data","volume":"12 1","pages":"441"},"PeriodicalIF":5.8000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11910599/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Data","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1038/s41597-025-04787-2","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

Leuciscus chuanchicus, a critically endangered cyprinid endemic in the Yellow River, represents an evolutionary significant lineage within Leuciscinae. However, conservation efforts for this species have been hindered by the lack of genetic and genomic resources. Here we reported a high-quality chromosome-level genome of L. chuanchicus by combining Illumina reads, PacBio HiFi long reads and Hi-C data. The assembled genome size was 1.16 Gb, with a contig N50 size of 31,116,631 bp and a scaffold N50 size of 43,855,677 bp. The resulting 130 scaffolds were further clustered and ordered into 25 chromosomes based on the Hi-C data, representing 97.84% of the assembled sequences. The genome contained 60.36% repetitive sequences and 35,014 noncoding RNAs. A total of 31,196 protein-coding genes were predicted, of which 28,323 (90.79%) were functionally annotated. The BUSCO and OMArk revealed 97.6% and 91.28% completion rates, respectively. This study assembled a high-quality genome of L. chuanchicus, and provided fundamental genomic resources for investigating the molecular mechanism and evolution of the Leuciscinae.

求助全文
约1分钟内获得全文 求助全文
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信