Evidence map›Paper›PMID 42511545›Full record

ArticleInternational journal of molecular sciences2026

T-DNA Analyzer: A Long-Read Sequencing Pipeline for Characterizing T-DNA Insertion Sites in Transgenic Crops.

Yue Wan, Xiao-Ya Ma, Yi-Fan Yu, Zhan-Feng Si, Zhi-Cheng Shen, Yu-Xuan Ye

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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
–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

6 authors.

Yue WanState Key Laboratory of Rice Biology and Breeding, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
Xiao-Ya MaState Key Laboratory of Rice Biology and Breeding, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
Yi-Fan YuState Key Laboratory of Rice Biology and Breeding, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
Zhan-Feng SiThe Rural Development Academy, Zhejiang University, Hangzhou 310058, China.
Zhi-Cheng ShenState Key Laboratory of Rice Biology and Breeding, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.
Yu-Xuan YeState Key Laboratory of Rice Biology and Breeding, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0003-3513-2583

Funding

Ministry of Science and Technology of the People's Republic of China 2022YFF1001400
6 · The paper itself

Abstract

Molecular characterization of the transferred DNA (T-DNA) insertion sites is required for the safety assessment of genetically modified (GM) crops, yet conventional PCR-based methods are labor-intensive and limited in their ability to resolve complex structural variations. We present T-DNA Analyzer, an integrated bioinformatics pipeline that transforms long-read sequencing data (PacBio HiFi or Oxford Nanopore) into a comprehensive insertion site report. The pipeline implements a host-derived read filter that subtracts host-homologous vector regions to eliminate false-positive chimeric read calls; a multi-segment fusion detection algorithm that resolves complex T-DNA integration architectures; and a deletion gap gene impact analysis that identifies genes affected by host genome deletions at the integration site. Validation on maize and cotton datasets demonstrated that the host-derived filter excluded 86.4% of false-positive reads while retaining all true chimeric reads, and the fusion detection algorithm successfully reconstructed a two-copy tandem T-DNA repeat within a single long read. T-DNA Analyzer provides automated, reproducible molecular characterization designed to support regulatory molecular characterization and is freely available as open-source software.

Indexed as

Crops, AgriculturalDNA, BacterialMutagenesis, InsertionalPlants, Genetically ModifiedSequence Analysis, DNAAlgorithmsComputational BiologyGossypiumHigh-Throughput Nucleotide SequencingSoftwareZea maysDNA, BacterialT-DNAbioinformatics pipelinegene impact annotationGMO characterizationlong-read sequencingOxford NanoporePacBiostructural variationT-DNA insertiontransgenic crop

Identifiers

PMID42511545
PMCPMC13411805

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Registered trials

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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.