Improved Gossypium raimondii genome using a Hi-C-based proximity-guided assembly

IF 3.1 4区 生物学 Q2 PLANT SCIENCES Journal of Cotton Research Pub Date : 2020-08-24 DOI:10.21203/rs.3.rs-63005/v1
G. Song, Qiuhong Yang, Dongyun Zuo, Hailiang Cheng, Youping Zhang, Qiaolian Wang, J. Ashraf, Xiaoxu Feng, Simin Li, Xiaoqing Chen, Shang Liu
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Abstract

Introduction Genome sequence plays an important role in both basic and applied studies. Gossypium raimondii , the putative contributor of the D subgenome of upland cotton ( G. hirsutum ), highlights the need to improve the genome quality rapidly and efficiently. Methods We performed Hi-C sequencing of G. raimondii and reassembled its genome based on a set of new Hi-C data and previously published scaffolds. We also compared the reassembled genome sequence with the previously published G. raimondii genomes for gene and genome sequence collinearity. Result A total of 98.42% of scaffold sequences were clustered successfully, among which 99.72% of the clustered sequences were ordered and 99.92% of the ordered sequences were oriented with high-quality. Further evaluation of results by heat-map and collinearity analysis revealed that the current reassembled genome is significantly improved than the previous one (Nat Genet 44:98–1103, 2012). Conclusion This improvement in G. raimondii genome not only provides a better reference to increase study efficiency but also offers a new way to assemble cotton genomes. Furthermore, Hi-C data of G. raimondii may be used for 3D structure research or regulating analysis.
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利用基于hi - c的接近引导组装改进的雷蒙地棉基因组
基因组序列在基础研究和应用研究中都起着重要作用。陆地棉(g.h hirsutum) D亚基因组的推测贡献者Gossypium raimondii强调了快速有效地提高基因组质量的必要性。方法对雷蒙地弓形虫进行了Hi-C测序,并基于一组新的Hi-C数据和先前发表的支架对其基因组进行了重组。我们还将重组的基因组序列与先前发表的雷蒙地弓形虫基因组进行了基因和基因组序列共线性比较。结果98.42%的支架序列聚类成功,其中99.72%的聚类序列为有序序列,99.92%的有序序列为高质量定向序列。通过热图和共线性分析进一步评价结果表明,目前重组的基因组比以前的基因组有显著改善(Nat Genet 44:98-1103, 2012)。结论雷蒙地棉种基因组的改进不仅为提高研究效率提供了更好的参考,而且为棉花基因组的组装提供了新的途径。此外,雷蒙地的Hi-C数据可用于三维结构研究或调控分析。
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来源期刊
Journal of Cotton Research
Journal of Cotton Research PLANT SCIENCES-
CiteScore
5.20
自引率
3.80%
发文量
99
审稿时长
15 weeks
期刊最新文献
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