Development of a reverse genetic system for mononegaviruses using a circular polymerase extension reaction

Reverse genetic systems are commonly used to study viruses; the ability to rapidly generate recombinant viruses is critical for studying the functions of viral genes and for the development of new interventions, such as antivirals or vaccines. Reverse genetic methods for mononegaviruses, viruses with non-segmented negative-strand RNA genomes, commonly incorporate a full-length viral genome cDNA into a bacterial artificial chromosomes (BACs) or plasmid DNA. However, the large size of mononegavirus genomes makes their manipulation challenging. In this study, to overcome this limitation, we adopted and optimized the circular polymerase extension reaction (CPER) method for mononegavirus reverse genetics. We segmented the genome of the mononegavirus, respiratory syncytial virus (RSV), into approximately 1.2-2.5 kb fragments and reassembled them with a linker fragment containing a T7 promotor into a circular full-length viral cDNA. Recombinant RSV was then generated by co-transfecting cells with the circular cDNA and helper plasmids carrying viral proteins that are essential to initiate viral replication. This reverse genetic system has the potential to be applied to other mononegaviruses.

Authors

Institutions

Publication Details

Journal
Biochemical and Biophysical Research Communications
Published
2025-02-18
DOI
https://doi.org/10.1016/j.bbrc.2025.151493
Citations
4
Primary Topic
Viral gastroenteritis research and epidemiology
Type
article
Field-Weighted Citation Impact
5.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a reverse genetic system for mononegaviruses using a circular polymerase extension reaction

Yoko Hayasaki‐Kajiwara, Miki Watanabe, Satoko Izume, Masaaki Nakashima et al.
4 citations
Biochemical and Biophysical Research Communications
Viral gastroenteritis research and epidemiology
5.58
article

Development of a reverse genetic system for mononegaviruses using a circular polymerase extension reaction

Yoko Hayasaki‐Kajiwara, Miki Watanabe, Satoko Izume, Masaaki Nakashima, Saori Okaga, Takashi Hashimoto, Yoshiyuki Nakano, Atsuko Yamamoto, Yuki Maruyama, Keiko Funabiki
article en
4 citations

Abstract

Reverse genetic systems are commonly used to study viruses; the ability to rapidly generate recombinant viruses is critical for studying the functions of viral genes and for the development of new interventions, such as antivirals or vaccines. Reverse genetic methods for mononegaviruses, viruses with non-segmented negative-strand RNA genomes, commonly incorporate a full-length viral genome cDNA into a bacterial artificial chromosomes (BACs) or plasmid DNA. However, the large size of mononegavirus genomes makes their manipulation challenging. In this study, to overcome this limitation, we adopted and optimized the circular polymerase extension reaction (CPER) method for mononegavirus reverse genetics. We segmented the genome of the mononegavirus, respiratory syncytial virus (RSV), into approximately 1.2-2.5 kb fragments and reassembled them with a linker fragment containing a T7 promotor into a circular full-length viral cDNA. Recombinant RSV was then generated by co-transfecting cells with the circular cDNA and helper plasmids carrying viral proteins that are essential to initiate viral replication. This reverse genetic system has the potential to be applied to other mononegaviruses.

Biochemical and Biophysical Research CommunicationsVol. 754
Futaba (Japan) (JP)
Zero hunger
Openalex Percentile: Top 5%
Viral gastroenteritis research and epidemiology
5.58
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.