Evidence map›Paper›PMID 41676392›Full record

ArticleFrontiers in plant science2025

Using transcriptome analysis to evaluate the impact of

Changyan Li, Haiqin Yao, Kunwei Hua, Danyang Cao, Hang Zhang, Desuo Yin, Xiaolian Zhang, Feng Wang, Weihua Ma, Lizhen Chen and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 authors.

Changyan Li *Food Crops Institute, Hubei Academy of Agricultural Sciences, Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Laboratory of Crop Molecular Breeding, Ministry of Agriculture and Rural Affairs, Wuhan, Hubei, China.
Haiqin Yao *College of Food Science and Technology, Wuhan Business University, Wuhan, Hubei, China.
Kunwei Hua *Hubei Insect Resources Utilization and Sustainable Pest Management Key Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Danyang CaoHubei Insect Resources Utilization and Sustainable Pest Management Key Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Hang ZhangHubei Insect Resources Utilization and Sustainable Pest Management Key Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Desuo YinFood Crops Institute, Hubei Academy of Agricultural Sciences, Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Laboratory of Crop Molecular Breeding, Ministry of Agriculture and Rural Affairs, Wuhan, Hubei, China.
Xiaolian ZhangGuizhou Academy of Tobacco Science, Tobacco Molecular Genetics Key Laboratory of China Tobacco, Guiyang, Guizhou, China.
Feng WangGuizhou Academy of Tobacco Science, Tobacco Molecular Genetics Key Laboratory of China Tobacco, Guiyang, Guizhou, China.
Weihua MaHubei Insect Resources Utilization and Sustainable Pest Management Key Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Lizhen ChenHubei Insect Resources Utilization and Sustainable Pest Management Key Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, China.
Aiqing YouFood Crops Institute, Hubei Academy of Agricultural Sciences, Hubei Key Laboratory of Food Crop Germplasm and Genetic Improvement, Laboratory of Crop Molecular Breeding, Ministry of Agriculture and Rural Affairs, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The application of genetically engineered (GE) crops in pest management raises biosafety concerns among governments, the scientific community, and the public, especially with the emergence of RNA interference (RNAi)-based crops expressing insecticidal double-stranded RNA (dsRNA). These crops may pose challenges to public health, agriculture, and conservation, and they could also present risks to non-target organisms, including beneficial natural enemies of pests. Natural enemies of insects are a significant component of global biodiversity and play a crucial role in managing insect pests within agroecosystems. This study addresses the biosafety concerns associated with insect-resistant transgenic dsRNA-expressing crops, focusing on their potential unintended effects on non-target organisms, particularly natural enemies. Methods: We combined biological and bioinformatic approaches, utilizing both food-chain delivery and animal-feeding systems, to comprehensively evaluate the potential unintended effects of exogenous insecticidal dsRNA expressed by dsAllim cotton on the biological parameters and transcriptome of the cotton-field predatory natural enemy, Results: The findings indicate that dsAllim cotton had no adverse effects on Discussion: These results support the use of ds

Indexed as

biosafetydouble-stranded RNAgenetically modified cropnatural enemytranscriptomic entropy

Identifiers

PMID41676392
PMCPMC12886505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.