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Selection of suitable reference genes for RT-qPCR analyses in cyanobacteria
Cyanobacteria are a group of photosynthetic prokaryotes that have a diverse morphology, minimal nutritional requirements and metabolic plasticity that has made them attractive organisms to use in biotechnological applications. The use of these organisms as cell factories requires the knowledge of th...
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Published in: | PloS one 2012-04, Vol.7 (4), p.e34983-e34983 |
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description | Cyanobacteria are a group of photosynthetic prokaryotes that have a diverse morphology, minimal nutritional requirements and metabolic plasticity that has made them attractive organisms to use in biotechnological applications. The use of these organisms as cell factories requires the knowledge of their physiology and metabolism at a systems level. For the quantification of gene transcripts real-time quantitative polymerase chain reaction (RT-qPCR) is the standard technique. However, to obtain reliable RT-qPCR results the use and validation of reference genes is mandatory. Towards this goal we have selected and analyzed twelve candidate reference genes from three morphologically distinct cyanobacteria grown under routinely used laboratory conditions. The six genes exhibiting less variation in each organism were evaluated in terms of their expression stability using geNorm, NormFinder and BestKeeper. In addition, the minimum number of reference genes required for normalization was determined. Based on the three algorithms, we provide a list of genes for cyanobacterial RT-qPCR data normalization. To our knowledge, this is the first work on the validation of reference genes for cyanobacteria constituting a valuable starting point for future works. |
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The use of these organisms as cell factories requires the knowledge of their physiology and metabolism at a systems level. For the quantification of gene transcripts real-time quantitative polymerase chain reaction (RT-qPCR) is the standard technique. However, to obtain reliable RT-qPCR results the use and validation of reference genes is mandatory. Towards this goal we have selected and analyzed twelve candidate reference genes from three morphologically distinct cyanobacteria grown under routinely used laboratory conditions. The six genes exhibiting less variation in each organism were evaluated in terms of their expression stability using geNorm, NormFinder and BestKeeper. In addition, the minimum number of reference genes required for normalization was determined. Based on the three algorithms, we provide a list of genes for cyanobacterial RT-qPCR data normalization. To our knowledge, this is the first work on the validation of reference genes for cyanobacteria constituting a valuable starting point for future works.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0034983</identifier><identifier>PMID: 22496882</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Biology ; Biosynthesis ; Carotenoids ; Cyanobacteria ; Cyanobacteria - genetics ; Cyanobacteria - isolation & purification ; Data processing ; Gene expression ; Gene Expression Profiling ; Genes ; Light ; Lyngbya ; Metabolism ; Morphology ; Nitrogen ; Nostoc ; Nutritional requirements ; Organisms ; Photosynthesis ; Plasticity ; Polymerase chain reaction ; Prochlorococcus ; Prokaryotes ; Real-Time Polymerase Chain Reaction - methods ; Reference Standards ; Stability analysis ; Studies ; Synechococcus ; Synechocystis</subject><ispartof>PloS one, 2012-04, Vol.7 (4), p.e34983-e34983</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012 Pinto et al. 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The use of these organisms as cell factories requires the knowledge of their physiology and metabolism at a systems level. For the quantification of gene transcripts real-time quantitative polymerase chain reaction (RT-qPCR) is the standard technique. However, to obtain reliable RT-qPCR results the use and validation of reference genes is mandatory. Towards this goal we have selected and analyzed twelve candidate reference genes from three morphologically distinct cyanobacteria grown under routinely used laboratory conditions. The six genes exhibiting less variation in each organism were evaluated in terms of their expression stability using geNorm, NormFinder and BestKeeper. In addition, the minimum number of reference genes required for normalization was determined. Based on the three algorithms, we provide a list of genes for cyanobacterial RT-qPCR data normalization. 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subjects | Algorithms Biology Biosynthesis Carotenoids Cyanobacteria Cyanobacteria - genetics Cyanobacteria - isolation & purification Data processing Gene expression Gene Expression Profiling Genes Light Lyngbya Metabolism Morphology Nitrogen Nostoc Nutritional requirements Organisms Photosynthesis Plasticity Polymerase chain reaction Prochlorococcus Prokaryotes Real-Time Polymerase Chain Reaction - methods Reference Standards Stability analysis Studies Synechococcus Synechocystis |
title | Selection of suitable reference genes for RT-qPCR analyses in cyanobacteria |
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