ArticleBMC molecular biology2011
Assessment and validation of a suite of reverse transcription-quantitative PCR reference genes for analyses of density-dependent behavioural plasticity in the Australian plague locust.
Article in BMC molecular biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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37 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- A systematic review of locust phase polyphenism: from proximate mechanisms to ecology and management.PeerJ · 2026Pooled it
- The Integrative Imperatives of Locust Phase Polyphenism Research: A Bibliometric Analysis.Integrative organismal biology (Oxford, England) · 2026Review
- Validation and Evaluation of Reference Genes for Quantitative Real-Time PCR Analysis inInsects · 2024Article
- Evaluation of Reference Genes for Quantitative Real-Time PCR Analysis in the Bean Bug,Insects · 2023Article
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- Reference Genes for Expression Analyses by qRT-PCR inInsects · 2022Article
- Selection and validation of reference genes for RT-qPCR-based analyses ofFrontiers in physiology · 2022Article
- Identification and Evaluation of Reference Genes for Quantitative PCR Normalization in Alligator Weed Flea Beetle (Coleoptera: Chrysomelidae).Journal of insect science (Online) · 2021Article
- Article
- Selection and validation of experimental condition-specific reference genes for qRT-PCR in Metopolophium dirhodum (Walker) (Hemiptera: Aphididae).Scientific reports · 2020Article
- Selection of Reference Genes for Quantitative Real-Time PCR in Chrysoperla nipponensis (Neuroptera: Chrysopidae) Under Tissues in Reproduction and Diapause.Journal of insect science (Online) · 2020Article
- Article
- Selection of candidate reference genes for RT-qPCR analysis in Argulus siamensis and their validation through screening of drugs and drug targets.Scientific reports · 2019Article
- Improving the standardization of mRNA measurement by RT-qPCR.Biomolecular detection and quantification · 2018Article
- Screening potential reference genes for quantitative real-time PCR analysis in the oriental armyworm, Mythimna separata.PloS one · 2018Article
- Selection of Reference Genes for the Normalization of RT-qPCR Data in Gene Expression Studies in Insects: A Systematic Review.Frontiers in physiology · 2018Article
- Identification and Validation of Reference Genes for RT-qPCR Normalization inBioMed research international · 2018Article
- B-chromosome effects on Hsp70 gene expression does not occur at transcriptional level in the grasshopper Eyprepocnemis plorans.Molecular genetics and genomics : MGG · 2016Article
- Identification and evaluation of reference genes in the Chinese white wax scale insect Ericerus pela.SpringerPlus · 2016Article
- Identification and Validation of Reference Genes for the Normalization of Gene Expression Data in qRT-PCR Analysis in Aphis gossypii (Hemiptera: Aphididae).Journal of insect science (Online) · 2016Article
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8 authors at 2 institutions in 4 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Australian plague locust, Chortoicetes terminifera, is among the most promising species to unravel the suites of genes underling the density-dependent shift from shy and cryptic solitarious behaviour to the highly active and aggregating gregarious behaviour that is characteristic of locusts. This is because it lacks many of the major phenotypic changes in colour and morphology that accompany phase change in other locust species. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) is the most sensitive method available for determining changes in gene expression. However, to accurately monitor the expression of target genes, it is essential to select an appropriate normalization strategy to control for non-specific variation between samples. Here we identify eight potential reference genes and examine their expression stability at different rearing density treatments in neural tissue of the Australian plague locust.
resultsTaking advantage of the new orthologous DNA sequences available in locusts, we developed primers for genes encoding 18SrRNA, ribosomal protein L32 (RpL32), armadillo (Arm), actin 5C (Actin), succinate dehydrogenase (SDHa), glyceraldehyde-3P-dehydrogenase (GAPDH), elongation factor 1 alpha (EF1a) and annexin IX (AnnIX). The relative transcription levels of these eight genes were then analyzed in three treatment groups differing in rearing density (isolated, short- and long-term crowded), each made up of five pools of four neural tissue samples from 5th instar nymphs. SDHa and GAPDH, which are both involved in metabolic pathways, were identified as the least stable in expression levels, challenging their usefulness in normalization. Based on calculations performed with the geNorm and NormFinder programs, the best combination of two genes for normalization of gene expression data following crowding in the Australian plague locust was EF1a and Arm. We applied their use to studying a target gene that encodes a Ca2+ binding glycoprotein, SPARC, which was previously found to be up-regulated in brains of gregarious desert locusts, Schistocerca gregaria. Interestingly, expression of this gene did not vary with rearing density in the same way in brains of the two locust species. Unlike S. gregaria, there was no effect of any crowding treatment in the Australian plague locust.
conclusionArm and EF1a is the most stably expressed combination of two reference genes of the eight examined for reliable normalization of RT-qPCR assays studying density-dependent behavioural change in the Australian plague locust. Such normalization allowed us to show that C. terminifera crowding did not change the neuronal expression of the SPARC gene, a gregarious phase-specific gene identified in brains of the desert locust, S. gregaria. Such comparative results on density-dependent gene regulation provide insights into the evolution of gregarious behaviour and mass migration of locusts. The eight identified genes we evaluated are also candidates as normalization genes for use in experiments involving other Oedipodinae species, but the rank order of gene stability must necessarily be determined on a case-by-case basis.
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