Back

Determination of suitable reference genes for RT-qPCR analysis in Gryllodes sigillatus (Orthoptera: Gryllidae)

Houda, H. B. M.; Bonhomme, R.; Renois, F.; Deschamps, M.-H.; Benoit-Biancamano, M.-O.; Meurens, F.

2026-04-05 molecular biology
10.64898/2026.04.04.716481 bioRxiv
Show abstract

The tropical house cricket Gryllodes sigillatus is a major species used in the edible insect farming industry. Despite the rapid expansion of this sector, diagnostic tools for detecting infections in these species remain limited. The lack of validated reference genes compromises the reliability of RT-qPCR-based gene expression analyses, which are essential for the development of molecular tools for disease diagnosis and health monitoring in insect production systems. To address this gap, we evaluated the expression stability of six candidate reference genes (ACTB, EF1, GAPDH, HisH3, RPL5, and 18SrRNA) across four body parts (abdomen, head, legs, and whole body) using a combination of complementary statistical approaches, including geNorm, NormFinder, BestKeeper, the {Delta}Ct method, the R statistical environment, and the integrated RefFinder tool. Candidate genes were identified and annotated using the recently published G. sigillatus genome, through sequence comparisons with closely related insect species using BLAST and reciprocal BLAST analyses, multiple sequence alignments. All procedures complied with MIQE 2.0 guidelines to ensure methodological rigor and transparency. The results showed that ACTB, EF1, RPL5, and 18SrRNA exhibited stable and consistent expression across all analyzed tissues, whereas GAPDH and HisH3 displayed high variability and were generally unsuitable for normalization, except in head tissue where GAPDH remained stable. This study provides the first validated set of reference genes for G. sigillatus, establishing a robust foundation for accurate, reproducible, and comparable gene expression analyses. Furthermore, these findings support the development of RT-qPCR-based diagnostic tools, contributing to improved health monitoring and biosafety in insect production systems.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Parasites & Vectors
57 papers in training set
Top 0.1%
18.9%
2
PLOS ONE
4510 papers in training set
Top 21%
8.5%
3
Scientific Reports
3102 papers in training set
Top 13%
6.9%
4
Journal of Economic Entomology
10 papers in training set
Top 0.1%
6.5%
5
Medical and Veterinary Entomology
10 papers in training set
Top 0.1%
4.4%
6
Insect Science
11 papers in training set
Top 0.1%
4.0%
7
Insect Molecular Biology
19 papers in training set
Top 0.1%
3.6%
50% of probability mass above
8
Pest Management Science
32 papers in training set
Top 0.3%
3.6%
9
PLOS Neglected Tropical Diseases
378 papers in training set
Top 2%
2.6%
10
Insect Biochemistry and Molecular Biology
27 papers in training set
Top 0.1%
2.1%
11
BMC Genomics
328 papers in training set
Top 2%
1.9%
12
Acta Tropica
13 papers in training set
Top 0.2%
1.9%
13
Frontiers in Microbiology
375 papers in training set
Top 5%
1.8%
14
Insects
36 papers in training set
Top 0.5%
1.8%
15
Applied and Environmental Microbiology
301 papers in training set
Top 2%
1.8%
16
PeerJ
261 papers in training set
Top 6%
1.8%
17
Molecular Ecology Resources
161 papers in training set
Top 0.6%
1.7%
18
Pathogens
53 papers in training set
Top 0.7%
1.5%
19
Journal of Medical Entomology
17 papers in training set
Top 0.4%
1.2%
20
Environmental Microbiology
119 papers in training set
Top 2%
1.0%
21
eLife
5422 papers in training set
Top 53%
0.9%
22
BioTechniques
24 papers in training set
Top 0.2%
0.8%
23
Microorganisms
101 papers in training set
Top 2%
0.8%
24
BMC Microbiology
35 papers in training set
Top 1%
0.8%
25
Gigabyte
60 papers in training set
Top 1%
0.8%
26
Molecular Ecology
304 papers in training set
Top 4%
0.8%
27
International Journal of Molecular Sciences
453 papers in training set
Top 16%
0.7%
28
Ecology and Evolution
232 papers in training set
Top 4%
0.7%
29
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 7%
0.7%
30
Journal of Microbiological Methods
11 papers in training set
Top 0.7%
0.5%