Establishment of sugarcane mosaic virus-based vector for dual gene expression in maize

Abstract Virus-based gene expression is a simple and powerful approach for functional genetic studies in plants. Here, sugarcane mosaic virus (SCMV, Potyvirus sacchari ) was engineered as a dual gene expression vector for simultaneous expression of two heterologous proteins in maize plants. Inoculation of the full-length cDNA clone of SCMV from agro-infiltrated Nicotiana benthamiana resulted in a rapid systemic infection in maize. To assess the possibility of SCMV as the gene expression vector, the marker gene GFP or GUS was inserted into either the NIb/CP or P1/HC-Pro junction site of SCMV to produce single-gene expression vectors. The results showed that these engineered SCMV vectors permitted efficient gene expression in systemically infected leaves and had the genetic capacity of inserts of more than 1800 bp, suggesting that both junction sites are suitable for heterologous gene insertion and expression. Furthermore, two different genes GFP and mCherry could be expressed simultaneously by engineering them into either NIb/CP or P1/HC-Pro junction sites of the same vector. These results clearly demonstrate the suitability of SCMV as a transient dual gene expression vector for maize plants.

Authors

Institutions

Publication Details

Journal
Phytopathology Research
Published
2025-05-08
DOI
https://doi.org/10.1186/s42483-025-00330-8
Citations
2
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
3.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishment of sugarcane mosaic virus-based vector for dual gene expression in maize

Kaizhou Xie, Asigul Ismayil, Yan Wang, Huangai Li et al.
2 citations
Phytopathology Research
Plant Virus Research Studies
3.50
article

Establishment of sugarcane mosaic virus-based vector for dual gene expression in maize

Kaizhou Xie, Asigul Ismayil, Yan Wang, Huangai Li, Yule Liu, Xiyin Zheng, Na Liu, Meng Han, Wei Xiang, Rong Zhong
article en
2 citations

Abstract

Abstract Virus-based gene expression is a simple and powerful approach for functional genetic studies in plants. Here, sugarcane mosaic virus (SCMV, Potyvirus sacchari ) was engineered as a dual gene expression vector for simultaneous expression of two heterologous proteins in maize plants. Inoculation of the full-length cDNA clone of SCMV from agro-infiltrated Nicotiana benthamiana resulted in a rapid systemic infection in maize. To assess the possibility of SCMV as the gene expression vector, the marker gene GFP or GUS was inserted into either the NIb/CP or P1/HC-Pro junction site of SCMV to produce single-gene expression vectors. The results showed that these engineered SCMV vectors permitted efficient gene expression in systemically infected leaves and had the genetic capacity of inserts of more than 1800 bp, suggesting that both junction sites are suitable for heterologous gene insertion and expression. Furthermore, two different genes GFP and mCherry could be expressed simultaneously by engineering them into either NIb/CP or P1/HC-Pro junction sites of the same vector. These results clearly demonstrate the suitability of SCMV as a transient dual gene expression vector for maize plants.

Phytopathology ResearchVol. 7(1)
Nanning Normal University (CN), Center for Life Sciences (CN)
National Natural Science Foundation of China, China Agricultural University, Ministry of Science and Technology of the People's Republic of China, National Science and Technology Major Project
Openalex Percentile: Top 9%
Plant Virus Research Studies
3.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.