scholarly journals Identification of stable reference genes for quantitative PCR in koalas

2017 ◽  
Author(s):  
N. Sarker ◽  
J. Fabijan ◽  
R.D. Emes ◽  
F. Hemmatzadeh ◽  
J. Meers ◽  
...  

ABSTRACTTo better understand host and immune response to diseases, gene expression studies require identification of reference genes with stable expression for accurate normalisation. This study describes the selection and testing of reference genes with stable expression profiles in koala lymph node tissues across two genetically distinct koala populations. From the 25 most stable genes identified in transcriptome analysis, 11 genes were selected for verification using reverse transcription quantitative PCR, in addition to the commonly used ACTB and GAPDH genes. The expression data were analysed using stable genes statistical software - geNorm, BestKeeper, NormFinder, the comparative ΔCt method and RefFinder. All 13 genes showed relative stability in expression in koala lymph node tissues, however Tmem97 and Hmg20a were identified as the most stable genes across the two koala populations.

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Dorota M. Krzyżanowska ◽  
Anna Supernat ◽  
Tomasz Maciąg ◽  
Marta Matuszewska ◽  
Sylwia Jafra

Abstract Reverse transcription quantitative PCR (RT-qPCR), a method of choice for quantification of gene expression changes, requires stably expressed reference genes for normalization of data. So far, no reference genes were established for the Alphaproteobacteria of the genus Ochrobactrum. Here, we determined reference genes for gene expression studies in O. quorumnocens A44. Strain A44 was cultured under 10 different conditions and the stability of expression of 11 candidate genes was evaluated using geNorm, NormFinder and BestKeeper. Most stably expressed genes were found to be rho, gyrB and rpoD. Our results can facilitate the choice of reference genes in the related Ochrobactrum strains. O. quorumnocens A44 is able to inactivate a broad spectrum of N-acyl homoserine lactones (AHLs) – the quorum sensing molecules of many Gram-negative bacteria. This activity is attributed to AiiO hydrolase, yet it remains unclear whether AHLs are the primary substrate of this enzyme. Using the established RT-qPCR setup, we found that the expression of the aiiO gene upon exposure to two AHLs, C6-HLS and 3OC12-HSL, does not change above the 1-fold significance threshold. The implications of this finding are discussed in the light of the role of quorum sensing-interfering enzymes in the host strains.


2011 ◽  
Vol 56 (No. 5) ◽  
pp. 213-216 ◽  
Author(s):  
M. Nesvadbová ◽  
A. Knoll

The selection of reference genes is essential for gene expression studies when using a real-time quantitative polymerase chain reaction (PCR). Reference gene selection should be performed for each experiment because the gene expression level may be changed in different experimental conditions. In this study, the stability of mRNA expression was determined for seven genes: HPRT1, RPS18, NACA, TBP, TAF4B, RPL32 and OAZ1. The stability of these reference genes was investigated in the skeletal muscle tissue of pig foetuses, piglets and adult pigs using real-time quantitative PCR and SYBR green chemistry. The expression of stability of the used reference genes was calculated using the geNorm application. Different gene expression profiles among the age categories of pigs were found out. RPS18 has been identified as the gene with the most stable expression in the muscle tissue of all pig age categories. HPRT1 and RPL32 were found to have the highest stability in piglets and adult pigs, and in foetuses and adults pigs, respectively. The newly used reference gene, TAF4B, reached the highest expression stability in piglets.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mary Wallace ◽  
Lynne K. Rieske

AbstractThe six-spined ips, Ips calligraphus, is a North American bark beetle that can exploit most eastern North American Pinus species and can cause mortality. Biotic and abiotic disturbances weaken trees, creating breeding substrate that promotes rapid population growth. Management historically relied on silvicultural practices, but as forests become increasingly stressed, innovative management is needed. Manipulation of the cellular RNA interference (RNAi) pathway to induce gene silencing is an emerging means of insect suppression, and is effective for some bark beetles. Quantitative PCR (qPCR) is a powerful tool for analysis of gene expression, and is essential for examining RNAi. To compare gene expression among individuals, stably expressed reference genes must be validated for qPCR. We evaluated six candidate reference genes (18s, 16s, 28s, ef1a, cad, coi) for stability under biotic (beetle sex, developmental stage, and host plant), and abiotic (temperature, photoperiod, and dsRNA exposure) conditions. We used the comprehensive RefFinder tool to compare stability rankings across four algorithms. These algorithms identified 18s, 16s, and 28s as the most stably expressed. Overall, 16s and 28s were selected as reference genes due to their stability and moderate expression levels, and can be used for I. calligraphus gene expression studies using qPCR, including those evaluating RNAi.


2018 ◽  
Author(s):  
Poonam Subhash Jaiswal ◽  
Navneet Kaur ◽  
Gursharn Singh Randhawa

AbstractGuar (Cyamopsis tetragonoloba) is an important industrial crop. The knowledge about genes of guar involved in various processes can help in developing improved varieties of this crop. qRT-PCR is a preferred technique for accurate quantification of gene expression data. This technique requires the use of appropriate reference genes from the crop to be studied. Such genes have not been yet identified in guar. The expression stabilities of the 10 candidate reference genes, viz., CYP, ACT 11, EF-1α, TUA, TUB, ACT 7, UBQ 10, UBC 2, GAPDH and 18S rRNA were evaluated in various tissues of guar under normal and abiotic stress conditions. Four different algorithms, geNorm, NormFinder, BestKeeper and ∆Ct approach, were used to assess the expression stabilities and the results obtained were integrated into comprehensive stability rankings. The most stable reference genes were found to be CYP and ACT 11(tissues), ACT 11, UBC 2 and ACT 7 (seed development), ACT 7 and TUB (drought stress), TUA, UBC 2 and CYP (nitrogen stress), TUA and UBC 2 (cold stress), GAPDH and ACT 7 (heat stress) and GAPDH and EF-1a (salt stress). These results indicated the necessity of identifying a suitable reference gene for each experimental condition. Four selected reference genes were validated by normalizing the expression of CtMT1 gene. To the best of our knowledge this is the first report on the identification of reference genes in guar. These findings are likely to provide a boost to the gene expression studies in this important crop.


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