Differential Gene Expression Reveals Candidate Genes for Drought Stress Response in Abies alba (Pinaceae).
Differential Gene Expression Reveals Candidate Genes for Drought Stress Response in Abies alba (Pinaceae).
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DOI：
10.1371/journal.pone.0124564
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Liepelt S
中科院分区：
文献类型：
--
作者：
Behringer D;Zimmermann H;Ziegenhagen B;Liepelt S
由于全球气候变化，干旱期不断增加，可能超过了许多树种的适应能力，对它们构成威胁。因此，揭示干旱胁迫反应的遗传基础是实施未来的保护策略和风险评估。然而，获取信息基因组区域是具有挑战性的，特别是对于针叶树，部分原因是它们的大基因组，这限制了全基因组扫描的可行性。候选基因提供了一个有价值的工具，以减少分析的复杂性和测序工作量和成本。在这项研究中，我们结合了改进的干旱胁迫表型的针通过一种新的太赫兹水监测技术与大量的cDNA末端分析，以确定候选基因的干旱胁迫反应在欧洲银冷杉（冷杉alba Mill。）。分别从6个干旱胁迫和6个充分浇水的银幼苗的子叶中构建了一个混合cDNA文库。这些文库的差异表达分析揭示了银中296个干旱胁迫响应的候选基因（247个上调和49个下调），其中一个子集通过12个个体子叶的RT-qPCR验证。这些基因编码的大多数目前未知的蛋白质和提示新的基因组资源，以探索在针叶树。此外，我们可以表明，一些传统的参考基因从模式植物物种（GAPDH和eIF 4A 2）是不适合差异分析，我们提出了一个新的参考基因，TPC 1，干旱胁迫表达谱针叶幼苗。
Increasing drought periods as a result of global climate change pose a threat to many tree species by possibly outpacing their adaptive capabilities. Revealing the genetic basis of drought stress response is therefore implemental for future conservation strategies and risk assessment. Access to informative genomic regions is however challenging, especially for conifers, partially due to their large genomes, which puts constraints on the feasibility of whole genome scans. Candidate genes offer a valuable tool to reduce the complexity of the analysis and the amount of sequencing work and costs. For this study we combined an improved drought stress phenotyping of needles via a novel terahertz water monitoring technique with Massive Analysis of cDNA Ends to identify candidate genes for drought stress response in European silver fir (Abies alba Mill.). A pooled cDNA library was constructed from the cotyledons of six drought stressed and six well-watered silver fir seedlings, respectively. Differential expression analyses of these libraries revealed 296 candidate genes for drought stress response in silver fir (247 up- and 49 down-regulated) of which a subset was validated by RT-qPCR of the twelve individual cotyledons. A majority of these genes code for currently uncharacterized proteins and hint on new genomic resources to be explored in conifers. Furthermore, we could show that some traditional reference genes from model plant species (GAPDH and eIF4A2) are not suitable for differential analysis and we propose a new reference gene, TPC1, for drought stress expression profiling in needles of conifer seedlings.
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