Selection of endogenous reference genes for qRT-PCR analysis in Camelina sativa and identification of FLOWERING LOCUS C allele-specific markers to differentiate summer- and winter-biotypes

2019 ◽  
Vol 129 ◽  
pp. 495-502 ◽  
Author(s):  
Wun S. Chao ◽  
Hongxia Wang ◽  
David P. Horvath ◽  
James V. Anderson
PLoS ONE ◽  
2012 ◽  
Vol 7 (8) ◽  
pp. e42839 ◽  
Author(s):  
Wun S. Chao ◽  
Münevver Doğramaci ◽  
Michael E. Foley ◽  
David P. Horvath ◽  
James V. Anderson

Author(s):  
Bala Gur-Dedeoglu ◽  
Ozlen Konu ◽  
Betul Bozkurt ◽  
Gulusan Ergul ◽  
Selda Seckin ◽  
...  

2010 ◽  
Vol 11 (1) ◽  
pp. 39 ◽  
Author(s):  
Rohini Mehta ◽  
Aybike Birerdinc ◽  
Noreen Hossain ◽  
Arian Afendy ◽  
Vikas Chandhoke ◽  
...  

PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0169465 ◽  
Author(s):  
Dongli Wan ◽  
Yongqing Wan ◽  
Qi Yang ◽  
Bo Zou ◽  
Weibo Ren ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zehua Zeng ◽  
Yuzhe Xiong ◽  
Wenhuan Guo ◽  
Hongwu Du

Abstract In gene expression analysis, sample differences and experimental operation differences are common, but sometimes, these differences will cause serious errors to the results or even make the results meaningless. Finding suitable internal reference genes efficiently to eliminate errors is a challenge. Aside from the need for high efficiency, there is no package for screening endogenous genes available in Python. Here, we introduce ERgene, a Python library for screening endogenous reference genes. It has extremely high computational efficiency and simple operation steps. The principle is based on the inverse process of the internal reference method, and the robust matrix block operation makes the selection of internal reference genes faster than any other method.


Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 193
Author(s):  
Dandan Li ◽  
Sen Yu ◽  
Minzhen Zeng ◽  
Xiao Liu ◽  
Jia Yang ◽  
...  

Larix olgensis Henry is an important afforestation species in northeastern China because of its fast juvenile growth, high-quality timber, and significant economic and ecological values. The selection of appropriate reference genes is necessary for the normalization of gene expression determination during quantitative real-time polymerase chain reaction (qRT-PCR) experiments. In this study, qRT-PCR was used to study gene expression. Three software packages geNorm, NormFinder, BestKeeper were used, and a comprehensive ranking of candidate reference genes was produced based on their output to evaluate the expression stability of 16 candidate reference genes from L. olgensis under drought, salt, cold, and heat stress. PP2A-1 and GAPDH ranked as the most stable reference genes under drought and cold stress, PP2A-1 and UBQ10 were most stable under salt stress, and TIP41 and ACT2 were most stable under heat stress. The least stable gene was ADP, which ranked the last under all treatments. Expression profile analysis of the antioxidant gene CAT using the two most stable and the single least stable reference genes under each stress further verified that the selected reference genes were suitable for gene expression normalization. This study provides an important foundation for the selection of suitable reference genes for the normalization and quantification of L. olgensis gene expression under abiotic stress conditions.


Sign in / Sign up

Export Citation Format

Share Document