Pangenome analysis of nine soybean cyst nematode genomes reveals hidden variation contributing to diversity and adaptation
Our study highlights substantial genetic variation in SCN that is not captured by single-reference analyses. By integrating multiple high-quality assemblies, we show that the SCN genome is highly dynamic, with extensive gene duplication and loss as well as structural variation shaping the differences among nematode populations. Collectively, the SCN pangenome provides a robust resource for studying virulence and adaptation mechanisms in SCN and establishes a genomic foundation for the development of more precise management strategies.
Authors
- Rick E. Masonbrink
- Matthew E. Hudson (ORCID: https://orcid.org/0000-0002-4737-0936)
- Khee-Man Kwon
- Kimberly Ko Walden
- Melissa G. Mitchum (ORCID: https://orcid.org/0000-0002-9086-6312)
- Andrew Josef Severin (ORCID: https://orcid.org/0000-0002-8015-9665)
- Christopher J. Fields (ORCID: https://orcid.org/0000-0002-7749-5844)
- João P. Gomes Viana
- Thomas J. Baum
- Zhihai Zhang
- Kurt C. Showmaker
- Alvaro G. Hernandez
- Thomas R. Maier
- Lucas Borges dos Santos
Institutions
- University of Wisconsin–Madison (US)
- University of Illinois Urbana-Champaign (US)
- University of Georgia (US)
- Iowa State University (US)
- Carnegie Department of Plant Biology (US)
- National Center for Supercomputing Applications (US)
- Institute of Plant Genetics, Polish Academy of Sciences (PL)
Publication Details
- Journal
- BMC Genomics
- Published
- 2026-01-15
- DOI
- https://doi.org/10.1186/s12864-025-12493-x
- Primary Topic
- Nematode management and characterization studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00