Reference genes selection for quantitative gene expression studies in Pinus massoniana L
Key message Evaluation and selection of reference genes in Pinus massoniana L. (PM) for gene expression studies of various tissues, floral organ development, and abiotic stress. An important prerequisite for obtaining accurate gene expression results using quantitative real-time PCR is the selection...
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Veröffentlicht in: | Trees (Berlin, West) West), 2016-06, Vol.30 (3), p.685-696 |
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Sprache: | eng |
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Evaluation and selection of reference genes in
Pinus massoniana
L. (PM) for gene expression studies of various tissues, floral organ development, and abiotic stress.
An important prerequisite for obtaining accurate gene expression results using quantitative real-time PCR is the selection of a reference gene or a group of genes having a highly stable level of expression.
Pinus massoniana
L. (PM) is the predominant fast-growing timber forest tree species in southern China. In this study of PM, we evaluated various tissues, flowers in different developmental phases, leaves from a cultivar with insect resistance, and leaves from plants under several types of abiotic stresses. Comprehensive Analysis was performed using BestKeeper, Normfinder, geNorm, and RefFinder software to select the most stable reference gene or gene group from among 25 candidate genes in these samples. The results showed that different experimental conditions require the use of different reference genes:
ACT1
could be used as a reference gene for all samples in this study;
UBI4
was the best gene for various tissues and zinc stress;
CYP
was the most stable gene for leaves from insect-resistant materials and Pb stress; Fbox and
UBI11
were the best reference genes for salt stress;
Fbox
+
RRP8
,
ARF
+
TUBA
, and
EF1B
+
IDH
were the best reference groups for drought stress, low temperature stress, and flowers in different developmental phases, respectively. This study presents a reliable selection of reference genes for Masson pine, and the conclusions are meaningful for improving the accuracy of expression analyses in future molecular biology studies. |
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ISSN: | 0931-1890 1432-2285 |
DOI: | 10.1007/s00468-015-1311-3 |