Evidence map›Paper›PMID 40622615›Full record

ArticleStress biology2025

Genetic characterization of the AHAS mutant line K4 with resistance to AHAS-inhibitor herbicides in rapeseed (Brassica napus L.).

Yani Zhang, Qianxin Huang, Shengnan Wang, Lianliang Gao, Gaoping Qu, Yuan Guo, Zhaoxin Hu, Shengwu Hu

Abstract read
In one paragraph

Article in Stress biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Genetic Origin ofPlants (Basel, Switzerland) · 2026
    Article
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  3. Review
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

8 authors.

Yani Zhang *College of Agronomy, Northwest A&F University, Yangling , Shaanxi, 712100, China.
Qianxin Huang *College of Agronomy, Northwest A&F University, Yangling , Shaanxi, 712100, China.
Shengnan Wang *College of Agronomy, Northwest A&F University, Yangling , Shaanxi, 712100, China.
Lianliang GaoCollege of Agronomy, Northwest A&F University, Yangling , Shaanxi, 712100, China.
Gaoping QuCollege of Agronomy, Northwest A&F University, Yangling , Shaanxi, 712100, China.
Yuan GuoCollege of Agronomy, Northwest A&F University, Yangling , Shaanxi, 712100, China.
Zhaoxin HuDepartment of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, 92093, USA.
Shengwu HuCollege of Agronomy, Northwest A&F University, Yangling , Shaanxi, 712100, China. swhu83251@nwsuaf.edu.cn.ORCID http://orcid.org/0000-0001-6859-6873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It remains a great challenge to control weeds in rapeseed fields in China. Breeding herbicide-resistant rapeseed varieties and using corresponding herbicide formulations has become the most economical and effective way to control weeds in rapeseed field. Characterization of more herbicide-resistant genetic resources will provide opportunities for breeders to develop rapeseed herbicide-resistant varieties with good agronomic performance. Previously, we obtained the tribenuron methyl (TBM)-resistant mutant K4 from ZS9 (Brassica napus L.) through ethyl methyl sulfonate mutagenesis and TBM foliar-spray screening. In this study, the inheritance and molecular characterization of the mutant K4 are carried out. Genetic investigation indicated that the herbicide-resistance of the K4 was controlled by one dominant allele at a single nuclear gene locus. Molecular characterization showed that a single point substitution at position 535 from C to T in BnAHAS3 (BnAHAS3

Indexed as

Acetohydroxyacid synthase (AHAS)Herbicides cross-resistanceRapeseed (Brassica napus L.)Single-point mutation

Identifiers

PMID40622615
PMCPMC11861483

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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.