Expressed sequence tag analysis of Lilium longiflorum generative cells
Expressed sequence tag analysis of Lilium longiflorum generative cells
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DOI：
10.1093/pcp/pcj040
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发表时间：
2006-06-01
影响因子：
4.9
通讯作者：
Singh, Mohan B.
中科院分区：
文献类型：
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作者：
Okada, Takashi;Bhalla, Prem L.;Singh, Mohan B.
生殖细胞是开花植物中的雄配子细胞前体，经过有丝分裂产生两个精子细胞。通过对表达序列标签(ESTs)的测序，研究了百合生殖细胞的基因表达谱。从生殖细胞cDNA文库中获得的886条EST被聚为637条独特的EST，其中包括123条成簇EST和514条单态EST。因此，39%的与已知功能的拟南芥基因相似的非冗余EST被指定为推测功能。与泛素系统相关的基因丰富，表明泛素依赖的蛋白水解酶在配子发生中起着关键作用。共有168个和129个非冗余百合生殖细胞EST分别与玉米精细胞EST和拟南芥雄配子体特异转录本具有显著的相似性。55个EST与玉米精子细胞EST和拟南芥雄配子体特异基因有显著的相似性，表明雄配子表达的基因在不同的植物属中是保守的。因此，我们的数据为鉴定拟南芥配子表达的基因和研究它们的功能提供了一个句柄。这些基因中有几个是潜在的候选基因，用于分析受精的分子基础，并通过基于生物信息学的方法研究拟南芥配子特异转录调控机制。
The generative cell, the male gametic cell progenitor in flowering plants, undergoes mitotic division to produce two sperm cells. We have examined the gene expression profile of the Lilium longiflorum (lily) generative cell by sequencing expressed sequence tags (ESTs). A total of 886 ESTs derived from the generative cell cDNA library were clustered into 637 unique ESTs comprising 123 cluster ESTs and 514 singleton ESTs. Thirty-nine percent of non-redundant ESTs showing similarity to Arabidopsis genes with known function were thus assigned putative functions. Genes related to the ubiquitin system were abundant, suggesting the key role of ubiquitin-dependent proteolysis in gametogenesis. A total of 168 and 129 non-redundant lily generative cell ESTs showed significant similarity to maize sperm cell ESTs and Arabidopsis male gametophyte-specific transcripts, respectively. Fifty-five ESTs appeared to have significant similarities to both maize sperm cell ESTs and Arabidopsis male gametophyte-specific genes, indicating conservation of male gamete-expressed genes across different plant genera. Thus our data provide a handle to identify Arabidopsis gamete-expressed genes and to investigate their function. Several of these genes are potential candidates for analyzing the molecular basis of fertilization and for investigating mechanisms of gamete-specific transcriptional regulation in Arabidopsis through bioinformatics-based approaches.