In silico analysis of salt responsive survival associated motifs in rice promoter

Rubaida Easmin, Shamira Tabrejee, Lamisha Rowshon, Alim Ul Gias, Md Miraj Kobad Chowdhuryy, S. Khaled
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Abstract

In stressed condition, several specific transcription factors bind to corresponding regulatory elements or motifs resulting in the expression of appropriate genes, which helps the plant to survive in that condition. Till now, several motifs have been identified though computationally validating those motifs is a major research concern. Considering this, we present an in silico method to validate the presence of such motifs in the promoter of rice genes, which could be associated with the survival of rice in saline environments. For this, we present a statistical approach that consists of three consecutive steps: finding overrepresented oligomers in sensitive variety, identifying the potential motif from the overrepresented oligomers and validating oligomers in the promoters of up regulated genes of tolerant variety using the motif of the sensitive one. In our experiment, we have initially identified 5 potential pentamers and then the most represented one (ACGAC) was used to validate previously described motifs overrepresented in promoters of genes in different abiotic stress tolerant rice to justify their association with survival. Ultimately, our method has shown promises to better identify motifs in promoters of genes up regulated during salt stress according to their likelihood to be associated with the plant survival.
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水稻启动子盐响应性存活相关基序的硅分析
在逆境条件下,几种特定的转录因子与相应的调控元件或基序结合,导致相应基因的表达,从而帮助植物在逆境条件下生存。到目前为止,已经确定了几个基序,但计算验证这些基序是一个主要的研究问题。考虑到这一点,我们提出了一种计算机方法来验证水稻基因启动子中存在这些基序,这些基序可能与水稻在盐水环境中的存活有关。为此,我们提出了一种由三个连续步骤组成的统计方法:在敏感品种中发现过度代表的低聚物,从过度代表的低聚物中识别潜在的基序,并使用敏感品种的基序验证耐受性品种上调基因启动子中的低聚物。在我们的实验中,我们最初确定了5种潜在的五聚体,然后使用最具代表性的一种(ACGAC)来验证先前描述的在不同非生物抗逆性水稻基因启动子中过度代表的基序,以证明它们与生存的关联。最终,我们的方法已经显示出希望,可以根据与植物存活相关的可能性,更好地识别盐胁迫下上调的基因启动子中的基序。
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