Robust reference gene selection in Norway spruce: essential for real-time quantitative PCR across different tissue, stress and developmental conditions

Accurate gene expression analysis in Norway spruce ( Picea abies ) under diverse stress conditions requires the identification of stable reference genes for normalization. Notably, the literature lacks reports on suitable reference genes in Norway spruce. Here, we aimed to address this gap by identifying suitable reference genes for quantitative real-time PCR in Norway spruce across various stress conditions (drought, heat, pathogen infection) in seedlings, tissues (needle, phloem, root), and developmental stages (seedlings, mature trees). We evaluated the stability of 15 candidate reference genes and assessed their expression stability using five statistical algorithms (ΔCt, geNorm, NormFinder, BestKeeper, and RefFinder). Our results highlight ubiquitin-protein ligase ( SP1 ), conserved oligomeric Golgi complex ( COG7 ), and tubby-like F-box protein ( TULP6 ) as the most stable reference genes, while succinate dehydrogenase ( SDH5 ) and heat shock protein 90 (HSP90) were the least stable under various experimental conditions . COG7 and TULP6 are novel candidate reference genes reported for the first time. The expression stability of the identified reference genes was further validated using dehydrin-like protein 5 ( PaDhn5 ) under drought conditions in Norway spruce. Pairwise variation analysis suggests that two reference genes were sufficient to normalize gene expression across all sample sets. This study provides a comprehensive analysis of reference gene stability under different experimental conditions and a catalog of genes for each condition, facilitating future functional genomic research in Norway spruce and related conifers.

Authors

Institutions

Publication Details

Journal
Frontiers in Forests and Global Change
Published
2024-11-13
DOI
https://doi.org/10.3389/ffgc.2024.1458554
Citations
3
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust reference gene selection in Norway spruce: essential for real-time quantitative PCR across different tissue, stress and developmental conditions

Kanakachari Mogilicherla, Gothandapani Sellamuthu, Amit Roy, Roman Gebauer et al.
3 citations
Frontiers in Forests and Global Change
Molecular Biology Techniques and Applications
0.70
article

Robust reference gene selection in Norway spruce: essential for real-time quantitative PCR across different tissue, stress and developmental conditions

Kanakachari Mogilicherla, Gothandapani Sellamuthu, Amit Roy, Roman Gebauer, Vivek Vikram Singh, Aisha Naseer, Rastislav Jakuš
article en
3 citations

Abstract

Accurate gene expression analysis in Norway spruce ( Picea abies ) under diverse stress conditions requires the identification of stable reference genes for normalization. Notably, the literature lacks reports on suitable reference genes in Norway spruce. Here, we aimed to address this gap by identifying suitable reference genes for quantitative real-time PCR in Norway spruce across various stress conditions (drought, heat, pathogen infection) in seedlings, tissues (needle, phloem, root), and developmental stages (seedlings, mature trees). We evaluated the stability of 15 candidate reference genes and assessed their expression stability using five statistical algorithms (ΔCt, geNorm, NormFinder, BestKeeper, and RefFinder). Our results highlight ubiquitin-protein ligase ( SP1 ), conserved oligomeric Golgi complex ( COG7 ), and tubby-like F-box protein ( TULP6 ) as the most stable reference genes, while succinate dehydrogenase ( SDH5 ) and heat shock protein 90 (HSP90) were the least stable under various experimental conditions . COG7 and TULP6 are novel candidate reference genes reported for the first time. The expression stability of the identified reference genes was further validated using dehydrin-like protein 5 ( PaDhn5 ) under drought conditions in Norway spruce. Pairwise variation analysis suggests that two reference genes were sufficient to normalize gene expression across all sample sets. This study provides a comprehensive analysis of reference gene stability under different experimental conditions and a catalog of genes for each condition, facilitating future functional genomic research in Norway spruce and related conifers.

Frontiers in Forests and Global ChangeVol. 7
Indian Institute of Rice Research (IN), Czech University of Life Sciences Prague (CZ), Slovak Academy of Sciences (SK), Institute of Forest Ecology of the Slovak Academy of Sciences (SK), Mendel University in Brno (CZ)
Life in Land
Openalex Percentile: Top 29%
Molecular Biology Techniques and Applications
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.