ArticleBMC molecular biology2010
Validation of reference genes for quantitative RT-PCR studies of gene expression in perennial ryegrass (Lolium perenne L.).
Article in BMC molecular biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.
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77 citing papers in PubMed, 161 citations in OpenAlex.
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- Callus Induction from Diverse Explants and Genotypes Enables Robust Transformation of Perennial Ryegrass (Plants (Basel, Switzerland) · 2022Article
- Stable reference gene selection for quantitative real-time PCR normalization in passion fruit (Passiflora edulis Sims.).Molecular biology reports · 2022Article
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- Transcriptome profiling revealed candidate genes, pathways and transcription factors related to nitrogen utilization and excessive nitrogen stress in perennial ryegrass.Scientific reports · 2022Article
- Selection and Validation of Reference Genes for Quantitative Real-Time PCR Analysis of Development and Tissue-Dependent Flower Color Formation inInternational journal of molecular sciences · 2022Article
- Identification of reliable reference genes for quantitative real-time PCR analysis of the Rhus chinensis Mill. leaf response to temperature changes.FEBS open bio · 2021Article
- Comprehensive evaluation of candidate reference genes for quantitative real-time PCR-based analysis in Caucasian clover.Scientific reports · 2021Article
- Transcriptome Analysis Identifies Candidate Target Genes Involved in Glyphosate-Resistance Mechanism inPlants (Basel, Switzerland) · 2020Article
- Identification of suitable controls for miRNA quantification in T-cells and whole blood cells in sepsis.Scientific reports · 2019Article
- Selection of reference genes for flowering pathway analysis in the masting plants, Celmisia lyallii and Chionochloa pallens, under variable environmental conditions.Scientific reports · 2019Article
- Selection of optimal reference genes for qRT-PCR analysis of shoot development and graviresponse in prostrate and erect chrysanthemums.PloS one · 2019Article
- Optimal use of statistical methods to validate reference gene stability in longitudinal studies.PloS one · 2019Article
- Validation of reference genes for RT-qPCR studies inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2018Article
- Validation of house-keeping genes for normalization of gene expression data during diurnal/circadian studies in rice by RT-qPCR.Scientific reports · 2018Article
- Reference Gene Selection for Quantitative Real-Time Reverse-Transcriptase PCR in Annual Ryegrass (Lolium multiflorum) Subjected to Various Abiotic Stresses.Molecules (Basel, Switzerland) · 2018Article
17 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPerennial ryegrass (Lolium perenne L.) is an important pasture and turf crop. Biotechniques such as gene expression studies are being employed to improve traits in this temperate grass. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is among the best methods available for determining changes in gene expression. Before analysis of target gene expression, it is essential to select an appropriate normalisation strategy to control for non-specific variation between samples. Reference genes that have stable expression at different biological and physiological states can be effectively used for normalisation; however, their expression stability must be validated before use.
resultsExisting Serial Analysis of Gene Expression data were queried to identify six moderately expressed genes that had relatively stable gene expression throughout the year. These six candidate reference genes (eukaryotic elongation factor 1 alpha, eEF1A; TAT-binding protein homolog 1, TBP-1; eukaryotic translation initiation factor 4 alpha, eIF4A; YT521-B-like protein family protein, YT521-B; histone 3, H3; ubiquitin-conjugating enzyme, E2) were validated for qRT-PCR normalisation in 442 diverse perennial ryegrass (Lolium perenne L.) samples sourced from field- and laboratory-grown plants under a wide range of experimental conditions. Eukaryotic EF1A is encoded by members of a multigene family exhibiting differential expression and necessitated the expression analysis of different eEF1A encoding genes; a highly expressed eEF1A (h), a moderately, but stably expressed eEF1A (s), and combined expression of multigene eEF1A (m). NormFinder identified eEF1A (s) and YT521-B as the best combination of two genes for normalisation of gene expression data in perennial ryegrass following different defoliation management in the field.
conclusionsThis study is unique in the magnitude of samples tested with the inclusion of numerous field-grown samples, helping pave the way to conduct gene expression studies in perennial biomass crops under field-conditions. From our study several stably expressed reference genes have been validated. This provides useful candidates for reference gene selection in perennial ryegrass under conditions other than those tested here.
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