Transcriptome-wide identification of optimal reference genes for expression analysis of Pyropia yezoensis responses to abiotic stress.
Transcriptome-wide identification of optimal reference genes for expression analysis of Pyropia yezoensis responses to abiotic stress.
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全转录组鉴定最佳参考基因,用于条斑紫菜对非生物胁迫反应的表达分析
DOI:
10.1186/s12864-018-4643-8
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发表时间:
2018-04-13
期刊:
影响因子:
4.4
通讯作者:
Mao Y
中科院分区:
文献类型:
--
作者:
Gao D;Kong F;Sun P;Bi G;Mao Y
Background:Pyropia yezoensis, a marine red alga, is an ideal research model for studying the mechanisms of abiotic stress tolerance in intertidal seaweed. Real-time quantitative polymerase chain reaction (RT-qPCR) is the most commonly used method to analyze gene expression levels. To accurately quantify gene expression, selection and validation of stable reference genes is required.Results:We used transcriptome profiling data from different abiotic stress treatments to identify six genes with relatively stable expression levels: MAP, ATPase, CGS1, PPK, DPE2, and FHP. These six genes and three conventional reference genes, UBC, EF1-α, and eif4A, were chosen as candidates for optimal reference gene selection. Five common statistical approaches (geNorm, ΔCt method, NormFinder, BestKeeper, and ReFinder) were used to identify the stability of each reference gene. Our results show that: MAP, UBC, and FHP are stably expressed in all analyzed conditions; CGS1 and UBC are stably expressed under conditions of dehydration stress; and MAP, UBC, and CGS1 are stably expressed under conditions of temperature stress.Conclusion:We have identified appropriate reference genes for RT-qPCR in P. yezoensis under different abiotic stress conditions which will facilitate studies of gene expression under these conditions.
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影响因子:
--
作者:
Silver N;Best S;Jiang J;Thein SL
通讯作者:
Thein SL
影响因子:
4.1
作者:
Thellin, O;Zorzi, W;Heinen, E
通讯作者:
Heinen, E
影响因子:
--
作者:
Li L;Yan Y;Xu H;Qu T;Wang B
通讯作者:
Wang B
影响因子:
--
作者:
Maccoux, Lindsey J.;Clements, Dylan N.;Day, Philip Jr
通讯作者:
Day, Philip Jr
影响因子:
5.6
作者:
Ma, Rui;Xu, Sheng;Wang, Ren
通讯作者:
Wang, Ren