首页> 外文期刊>Acta Physiologiae Plantarum >In silico search for drought-responsive genes in plants on the basis of scientific data: case study on poplar roots
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In silico search for drought-responsive genes in plants on the basis of scientific data: case study on poplar roots

机译:在计算机上基于科学数据寻找植物的干旱响应基因:以杨树根为例

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Despite of a number of studies on the genetic nature of plant adaptation to drought stress there is still no conclusion on the core mechanism of defense. Extraction of knowledge gained from experiments on different plant species under different conditions and subsequent interpolation thus appears to be a challenge. Here we applied a sequence similarity-based approach to identify computationally the components of defense against water deprivation. The prediction in silico was based on the available scientific data. We identified a subset of defense gene candidates, of which 2 % were experimentally proven to be drought-responsive. The transcriptomic analysis of drought-stressed poplar roots generated data that confirm and/or complement previous reports on plant responses to drought. On the other hand, we observed suppression of genes involved in antioxidative defense that seems to contradict many foregoing observations. The results, advantages and possible drawbacks of our prediction approach are discussed in light of experimental data.
机译:尽管对植物适应干旱胁迫的遗传性质进行了许多研究,但仍未得出防御的核心机制的结论。因此,在不同条件下从不同植物物种的实验中提取知识并进行后续插值似乎是一个挑战。在这里,我们应用了基于序列相似性的方法,以计算方式识别防御缺水的组成部分。计算机模拟的预测是基于现有的科学数据。我们鉴定了防御基因候选物的一个子集,其中2%被实验证明对干旱敏感。干旱胁迫的杨树根的转录组学分析产生的数据证实和/或补充了以前有关植物对干旱反应的报道。另一方面,我们观察到与抗氧化防御有关的基因受到抑制,这似乎与许多前述观点相矛盾。根据实验数据讨论了我们的预测方法的结果,优缺点。

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