Evidence map›Paper›PMID 40394969›Full record

ArticleInsect science2026

Screening optimum reference genes for quantitative real-time polymerase chain reaction analysis in black soldier fly Hermetia illucens under different conditions.

Qiuqin Ma, Zhending Gan, Xiaomei Ye, Ruju Zhang, Ting Han, Jing Du, Fei Zhu

Abstract read
In one paragraph

Article in Insect science, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qiuqin MaInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.ORCID https://orcid.org/0009-0003-2774-013X
Zhending GanCollege of Animal Science, Nanjing Agricultural University, Nanjing, China.
Xiaomei YeInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Ruju ZhangInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Ting HanInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Jing DuInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Fei ZhuInstitute of Animal Science, Jiangsu Academy of Agricultural Sciences, Nanjing, China.

Funding

Jiangsu Agriculture Science and Technology Innovation Fund (No. CX(23)2006)
6 · The paper itself

Abstract

With the completion of genome sequencing of the black soldier fly (BSF), an increasing number of researchers are focusing on elucidating its robust digestive and absorptive capabilities through genetic and molecular biology methods to enhance its growth performance. However, most genetic and molecular biology studies require gene expression analysis, and the stability of reference genes may change under different experimental conditions. To identify optimal reference genes, we evaluated 11 candidate reference genes (GAPDH, β-actin, GST, Tubulin α-1A, Tubulin α-4A, Tubulin β, RP49, RPL13, EF1-α, 18S RNA, and 28S RNA) across various developmental stages, tissues, sexes, and 3 distinct genotypes of Hermetia illucens using RefFinder software, which integrates the statistical algorithms geNorm, NormFinder, BestKeeper, and ΔCt. The results recommend that β-Actin, 18S RNA, and RPL13 are suitable for analyzing different developmental stages; RPL13, GST, and RP49 are optimal for different tissues; EF1, RPL13, and GST work best for different sexes; and RPL13, GAPDH, and 18S RNA are ideal for different genotypes. Notably, this study is the first to evaluate the stability of reference genes across 3 BSF genotypes originating from different regions. The findings offer valuable references and fresh insights for molecular biology research on H. illucens.

Indexed as

Genes, InsectReal-Time Polymerase Chain ReactionSimuliidaeAnimalsFemaleMaleReference StandardsgenotypesHermetia illucensreference genesRefFinder software

Identifiers

PMID40394969
PMCPMC13441000

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.