Evidence map›Paper›PMID 40986430›Full record

ArticlePlant biotechnology journal2026

An Efficient Beet Severe Curly Top Virus-Based Vector for VIGS and HIGS in Beta vulgaris.

Zhangyao Nie, Zhihong Guo, Xinyu Qin, Qi Liu, Minglongcheng Zhou, Jian Ye, Zongying Zhang, Xian-Bing Wang, Cheng-Gui Han, Ying Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plant biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Zhangyao NieState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.ORCID https://orcid.org/0009-0006-4308-8606
Zhihong GuoState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.
Xinyu QinState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.ORCID https://orcid.org/0009-0003-9554-6937
Qi LiuState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.
Minglongcheng ZhouState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.
Jian YeState Key Laboratory of Plant Genomics, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-7741-4354
Zongying ZhangState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.
Xian-Bing WangState Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0003-3082-2462
Cheng-Gui HanState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.
Ying WangState Key Laboratory of Agricultural and Forestry Biosecurity, College of Plant Protection, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0002-5557-7558

Funding

China Agricultural Industry Technology System CARS-170304National Natural Science Foundation of China 31872921National Natural Science Foundation of China 32270165
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BSCTVHIGSRNA silencingsugar beetVIGS vector

Identifiers

PMID40986430
PMCPMC12906799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.