Evidence map›Paper›PMID 42377747›Full record

ArticleMolecular biology reports2026

Identification of condition-specific optimal reference genes for qPCR data normalisation in pink bollworm Pectinophora gossypiella (Saunders).

Joy Das, Rakesh Kumar, K P Raghavendra, Suhas G Karkute, Vivek Shah, Kishor U Tribhuvan, Rahul M Phuke, G T Behere, Vinita Gotmare, V N Waghmare

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Article in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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10 authors.

Joy DasICAR-Central Institute for Cotton Research, Nagpur, 440010, India. uasjoy@gmail.com.
Rakesh KumarICAR-Central Institute for Cotton Research, Nagpur, 440010, India. rakesh.goswami12@gmail.com.
K P RaghavendraICAR-Central Institute for Cotton Research, Nagpur, 440010, India.
Suhas G KarkuteICAR-Central Institute for Cotton Research, Nagpur, 440010, India.
Vivek ShahICAR-Central Institute for Cotton Research, Nagpur, 440010, India.
Kishor U TribhuvanICAR-Central Institute for Cotton Research, Nagpur, 440010, India.
Rahul M PhukeICAR-Central Institute for Cotton Research, Nagpur, 440010, India.
G T BehereICAR-Central Institute for Cotton Research, Nagpur, 440010, India.
Vinita GotmareICAR-Central Institute for Cotton Research, Nagpur, 440010, India.
V N WaghmareICAR-Central Institute for Cotton Research, Nagpur, 440010, India.

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6 · The paper itself

Abstract

backgroundAccurate normalisation of quantitative gene expression data requires stably expressed reference genes. However, condition-specific suitable reference genes have not been systematically evaluated and identified in pink bollworm Pectinophora gossypiella (Lepidoptera: Gelechiidae), a significant cotton pest. METHODS AND

resultsIn this study, expression stability of eight candidate reference genes, namely EF1, EF2, GAPDH, ACT5C1, α-TUB, β-TUB, RPL3 and RPL13, was assessed under distinct experimental conditions, including developmental stages, tissues, temperature variations, growth regulators, Cry toxin exposure and RNAi. Expression stability was analysed using standard algorithms, ΔCt, BestKeeper, NormFinder, and geNorm. A comprehensive ranking was generated using RefFinder, integrating rankings from all analytical approaches. Additionally, GrayNorm algorithm was employed to identify condition-specific optimal gene combinations. The stability rankings varied depending on experimental conditions. RefFinder identified ACT5C1 and RPL13 as the most stable reference genes across developmental stages and tissues, respectively. Under stress conditions taken together, it ranked α-TUB as the best performing reference gene. Meanwhile, GrayNorm identified 'ACT5C1', 'ACT5C1 + EF2' and 'ACT5C1 + EF1 + GAPDH' for normalizing gene expression data in developmental stages, while recognising 'EF2', 'ACT5C1 + GAPDH', 'ACT5C1 + EF2 + GAPDH' in tissues, and 'RPL13', 'ACT5C1 + RPL13', 'ACT5C1 + RPL3 + RPL13' under stress conditions, respectively.

conclusionsBased on the consensus of all algorithms tested, we propose ACT5C1, EF2 and GAPDH as the optimal gene combination for gene expression studies across developmental stages and tissues, while ACT5C1, RPL3 and RPL13 for studies under diverse stress conditions in pink bollworm. This study reports the first comprehensive evaluation of reference genes providing critical resources for accurate gene expression analysis under diverse experimental conditions in pink bollworm.

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LepidopteraMothsReal-Time Polymerase Chain ReactionAlgorithmsAnimalsGene Expression ProfilingReference StandardsExpression stabilityGrayNormPink bollwormqPCR normalisationReference genesRefSeeker

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