三种红藓的染色体尺度组合:重复序列分布和结构重排。

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Zheng-Feng Wang, En-Ping Yu, Lin Fu, Hua-Ge Deng, Wei-Guang Zhu, Feng-Xia Xu, Hong-Lin Cao
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引用次数: 0

摘要

背景:红豆属属于豆科;几乎所有的红豆属都是中国特有的,中国被认为是红豆属的中心之一。因此,需要对该属进行基因组研究,以更好地了解物种的进化,并确保这些物种的保护和利用。我们对紫花O. purpureiflora进行了染色体尺度组装,并更新了O. emarginata和O. semiastrata的染色体尺度组装,用于比较基因组学。结果:3种植物的基因组组装大小在1.42 ~ 1.58 Gb之间,其中紫花O. purpureiflora最大;重复序列占基因组的74.0-76.3%,预测的基因数量在50,517 ~ 55,061之间。基准通用单拷贝Orthologs (BUSCO)分析显示基因组完整性为97.0 ~ 98.4%,长末端重复序列(LTR)组装指数为13.66 ~ 17.56,符合“参考基因组”质量标准。使用BUSCO和OMArk评估的基因完整性范围分别为95.1% ~ 96.3%和97.1% ~ 98.1%。基因组结构的表征进一步揭示了倒置是红藓的主要结构重排。在数量上,重复元件的密度分布表明Helitron和末端倒置重复(TIR)元件的类型以及Gypsy和未知LTR反转录转座子(LTR- rts)的类型集中在染色体的不同区域,而在红藓中,Copia的LTR- rts一般沿染色体均匀分布。与姐妹种白斑Lupinus albus相比,红豆种的抗性基因(R)和转录因子基因的数量和百分比较低。与生物碱、萜烯和类黄酮生物合成有关的基因通过串联或近端重复被发现。值得注意的是,紫花O. purpureiflora中缺少一些与生长和防御相关的基因。通过对来自6个O. purpureiflora(亚)群体的153个基因型(每个样本约30 Gb数据)进行重测序,我们鉴定出40146个单核苷酸多态性。相对于其非常小的种群,紫花O. purpureiflora表现出较低的遗传多样性。结论:红豆属植物基因组为研究红豆科植物和豆科植物的进化、保护和潜在利用提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chromosome-scale assemblies of three Ormosia species: repetitive sequences distribution and structural rearrangement.

Background: The genus Ormosia belongs to the Fabaceae family; almost all Ormosia species are endemic to China, which is considered one of the centers of this genus. Thus, genomic studies on the genus are needed to better understand species evolution and ensure the conservation and utilization of these species. We performed a chromosome-scale assembly of O. purpureiflora and updated the chromosome-scale assemblies of O. emarginata and O. semicastrata for comparative genomics.

Findings: The genome assembly sizes of the 3 species ranged from 1.42 to 1.58 Gb, with O. purpureiflora being the largest. Repetitive sequences accounted for 74.0-76.3% of the genomes, and the predicted gene counts ranged from 50,517 to 55,061. Benchmarking Universal Single-Copy Orthologs (BUSCO) analysis indicated 97.0-98.4% genome completeness, whereas the long terminal repeat (LTR) assembly index values ranged from 13.66 to 17.56, meeting the "reference genome" quality standard. Gene completeness, assessed using BUSCO and OMArk, ranged from 95.1% to 96.3% and from 97.1% to 98.1%, respectively.Characterizing genome architectures further revealed that inversions were the main structural rearrangements in Ormosia. In numbers, density distributions of repetitive elements revealed the types of Helitron and terminal inverted repeat (TIR) elements and the types of Gypsy and unknown LTR retrotransposons (LTR-RTs) concentrated in different regions on the chromosomes, whereas Copia LTR-RTs were generally evenly distributed along the chromosomes in Ormosia.Compared with the sister species Lupinus albus, Ormosia species had lower numbers and percentages of resistance (R) genes and transcription factor genes. Genes related to alkaloid, terpene, and flavonoid biosynthesis were found to be duplicated through tandem or proximal duplications. Notably, some genes associated with growth and defense were absent in O. purpureiflora.By resequencing 153 genotypes (∼30 Gb of data per sample) from 6 O. purpureiflora (sub)populations, we identified 40,146 single nucleotide polymorphisms. Corresponding to its very small populations, O. purpureiflora exhibited low genetic diversity.

Conclusions: The Ormosia genome assemblies provide valuable resources for studying the evolution, conservation, and potential utility of both Ormosia and Fabaceae species.

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来源期刊
GigaScience
GigaScience MULTIDISCIPLINARY SCIENCES-
CiteScore
15.50
自引率
1.10%
发文量
119
审稿时长
1 weeks
期刊介绍: GigaScience seeks to transform data dissemination and utilization in the life and biomedical sciences. As an online open-access open-data journal, it specializes in publishing "big-data" studies encompassing various fields. Its scope includes not only "omic" type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale shareable data.
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