沙棘基因组的研究为沙棘的性别分化提供了新的认识。

IF 11.8 2区 生物学 Q1 MULTIDISCIPLINARY SCIENCES
Mingyue Chen, Xingyu Yang, Lan Xun, Zhenlin Qu, Shihai Yang, Yunqiang Yang, Yongping Yang
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引用次数: 0

摘要

背景:雌雄异株是被子植物的一种常见的生殖策略,在不同的植物谱系中独立进化,导致了不同的性染色体系统和性别决定机制的进化。河马是一种具有XY性别决定系统的雌雄异株植物属,但这一过程的分子基础尚未明确。大多数先前发表的沙棘基因组数据都来自雌性,但雄性的基因组数据对于澄清我们对这一属的性别决定的理解至关重要。雄性和雌性沙棘植物的比较基因组分析可以揭示性别的起源和进化。这些研究也有助于我们进一步了解植物性别分化的分子机制,为植物有性生殖的进一步研究提供新的见解和数据。结果:我们对2种沙棘的基因组进行了深入分析,包括雄性沙棘(Hippophae gyantsensis)、雌性沙棘(Hippophae salicifolia)和雄性沙棘(H. salicifolia)的2个单倍型。雌雄水杨花基因组大小分别为704.35 Mb和788.28 Mb, 2个单倍型基因组大小分别为1139.99 Mb和1097.34 Mb,性别决定区(SDR)为29.71 Mb,包含249个基因。对水杨花Chr02单倍型的比较分析表明,水杨花的Y染色体比X染色体短。染色体进化分析表明,沙棘在两次全基因组重复事件后经历了显著的染色体重排,两条染色体的融合可能导致沙棘性染色体的早期形成。Y和X性别连锁区之间的多重结构变异可能促进了水杨树性染色体的快速进化。比较江杨和水杨花雌雄花蕾的转录组数据,发现有11个基因在雄性中特异性表达。其中3个被确定为沙棘性别决定的候选基因。这些发现将有助于进一步研究沙棘的性别决定机制。结论:通过比较基因组分析鉴定了水杨花的SDR。确定了河马性染色体的起源和进化轨迹。鉴定了三个与沙棘性别决定相关的潜在候选基因。总之,我们的发现将有助于未来旨在阐明性别决定机制的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The genome of Hippophae salicifolia provides new insights into the sexual differentiation of sea buckthorn.

Background: Dioecy, a common reproductive strategy in angiosperms, has evolved independently in various plant lineages, and this has resulted in the evolution of diverse sex chromosome systems and sex determination mechanisms. Hippophae is a genus of dioecious plants with an XY sex determination system, but the molecular underpinnings of this process have not yet been clarified. Most previously published sea buckthorn genome data have been derived from females, yet genomic data on males are critically important for clarifying our understanding of sex determination in this genus. Comparative genomic analyses of male and female sea buckthorn plants can shed light on the origins and evolution of sex. These studies can also enhance our understanding of the molecular mechanisms underlying sexual differentiation and provide novel insights and data for future research on sexual reproduction in plants.

Results: We conducted an in-depth analysis of the genomes of 2 sea buckthorn species, including a male Hippophae gyantsensis, a female Hippophae salicifolia, and 2 haplotypes of male H. salicifolia. The genome size of H. gyantsensis was 704.35 Mb, and that of the female H. salicifolia was 788.28 Mb. The sizes of the 2 haplotype genomes were 1,139.99 Mb and 1,097.34 Mb. The sex-determining region (SDR) of H. salicifolia was 29.71 Mb and contained 249 genes. A comparative analysis of the haplotypes of Chr02 of H. salicifolia revealed that the Y chromosome was shorter than the X chromosome. Chromosomal evolution analysis indicated that Hippophae has experienced significant chromosomal rearrangements following 2 whole-genome duplication events, and the fusion of 2 chromosomes has potentially led to the early formation of sex chromosomes in sea buckthorn. Multiple structural variations between Y and X sex-linked regions might have facilitated the rapid evolution of sex chromosomes in H. salicifolia. Comparison of the transcriptome data of male and female flower buds from H. gyantsensis and H. salicifolia revealed 11 genes specifically expressed in males. Three of these were identified as candidate genes involved in the sex determination of sea buckthorn. These findings will aid future studies of the sex determination mechanisms in sea buckthorn.

Conclusion: A comparative genomic analysis was performed to identify the SDR in H. salicifolia. The origins and evolutionary trajectories of sex chromosomes within Hippophae were also determined. Three potential candidate genes associated with sea buckthorn sex determination were identified. Overall, our findings will aid future studies aimed at clarifying the mechanisms of sex determination.

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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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