Transcriptome Analysis of Flower Development and Mining of Genes Related to Flowering Time in Tomato (Solanum lycopersicum).

Transcriptome Analysis of Flower Development and Mining of Genes Related to Flowering Time in Tomato (Solanum lycopersicum).
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番茄花发育转录组分析及与开花时间相关基因的挖掘

DOI:
10.3390/ijms22158128
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发表时间:
2021-07-29
影响因子:
5.6
通讯作者:
Yang H
Yang H
中科院分区:
生物学2区
文献类型:
--
作者:
Wang H;Yang Y;Zhang Y;Zhao T;Jiang J;Li J;Xu X;Yang H

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开花是被子植物由营养生长向生殖生长转变的形态发生过程。开花时间对果实生长影响很大,与产量密切相关。因此,对作物花期的研究就显得尤为重要。为了更好地了解番茄的花期,我们对开花较晚的“Moneymaker”材料和开花较早的“20965”纯合子自交系进行了早期花蕾和延伸期花朵的转录组测序,并对获得的数据进行了分析。从12个数据集中获得至少4392万个clean reads,与番茄内参基因组的相似性为92.86 ~ 94.57%。基于基因表达和背景注释,初步筛选出49个与开花时间和花发育相关的候选基因,其中光周期途径基因数量最多。根据候选基因的表达模式,预测了“20965”提早开花的原因。对这些差异表达基因的作用方式进行了分类,结果表明它们与激素调控密切相关,参与了作物的多种生命活动。筛选到的候选基因及其表达模式分析为今后的功能验证奠定了基础,有助于更全面地探索番茄开花时间的分子机制。
Flowering is a morphogenetic process in which angiosperms shift from vegetative growth to reproductive growth. Flowering time has a strong influence on fruit growth, which is closely related to productivity. Therefore, research on crop flowering time is particularly important. To better understand the flowering period of the tomato, we performed transcriptome sequencing of early flower buds and flowers during the extension period in the later-flowering “Moneymaker” material and the earlier-flowering “20965” homozygous inbred line, and we analyzed the obtained data. At least 43.92 million clean reads were obtained from 12 datasets, and the similarity with the tomato internal reference genome was 92.86–94.57%. Based on gene expression and background annotations, 49 candidate genes related to flowering time and flower development were initially screened, among which the greatest number belong to the photoperiod pathway. According to the expression pattern of candidate genes, the cause of early flowering of “20965” is predicted. The modes of action of the differentially expressed genes were classified, and the results show that they are closely related to hormone regulation and participated in a variety of life activities in crops. The candidate genes we screened and the analysis of their expression patterns provide a basis for future functional verification, helping to explore the molecular mechanism of tomato flowering time more comprehensively.
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