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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Soil Management and Sugarbeet Research » Research » Research Project #444262
Research Project: Genomic Mining of Sugar Beet Crop Wild Relative Germplasm Resources for New Sources of Disease Resistance

Location: Soil Management and Sugarbeet Research

Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)

Structural characterization the LlaI anti-phage defense system reveals insights into the evolution of nucleotide specificity and the organization of DNA binding in McrBC restriction complexes Reprint Icon - (Pre-print Publication)
Bui, A.Q., Hosford, C.J., Niu, Y., Santiago, E., Wagner, M.M., Chappie, J.S. 2026. Structural characterization the LlaI anti-phage defense system reveals insights into the evolution of nucleotide specificity and the organization of DNA binding in McrBC restriction complexes. bioRxiv. https://doi.org/10.64898/2026.08.31.748284.

Subcellular localization and differential expression provide insights into the putative function of the nematode resistance gene Hs4 Reprint Icon - (Peer Reviewed Journal)
Schildberg, A., Dorn, K.M., Jung, C. 2026. Subcellular localization and differential expression provide insights into the putative function of the nematode resistance gene Hs4. Scientific Reports. 16. Article e7830. https://doi.org/10.1038/s41598-026-40666-5.

Assessment of NPGS sugar beet germplasm for resistance to Rhizoctonia Root and Crown Rot in Fort Collins, CO, 2024 Reprint Icon - (Peer Reviewed Journal)
Todd, O.E., McNeill, S., Cornwall, A.M., Stewart, C.E., Yeater, K.M., Dorn, K.M. 2025. Assessment of NPGS sugar beet germplasm for resistance to Rhizoctonia Root and Crown Rot in Fort Collins, CO, 2024. Plant Health Progress. 27(1). https://doi.org/10.1094/PHP-09-25-0233-PDMR.

All-in-one machine learning framework for early detection and characterization of sugar beet diseases using hyperspectral imaging Reprint Icon - (Peer Reviewed Journal)
Abdalla, A., Todd, O.E., Pennam, S.V., Hoopes, E., Nguyen, N., Dorn, K.M., Dao, P. 2025. All-in-one machine learning framework for early detection and characterization of sugar beet diseases using hyperspectral imaging. Smart Agricultural Technology. 12. Article e101633. https://doi.org/10.1016/j.atech.2025.101633.

Vibrio cholerae integrates interspecies quorum-sensing signals to regulate virulence Reprint Icon - (Peer Reviewed Journal)
Bosire, E.M., Adams, M.C., Bitar, P.P., Murphy, S.G., Shin, J., Chappie, J.S., Dorr, T., Altier, C. 2025. Vibrio cholerae integrates interspecies quorum-sensing signals to regulate virulence. mBio. 16(9). Article e01537-25. https://doi.org/10.1128/mbio.01537-25.

Transcriptomic profiling reveals distinct plant responses to beet curly top virus (BCTV) infection in resistant and susceptible sugar beet genotypes Reprint Icon - (Peer Reviewed Journal)
Withycombe, J., Han, J., MacWilliams, J., Dorn, K.M., Nalam, V., Nachappa, P. 2024. Transcriptomic profiling reveals distinct plant responses to beet curly top virus (BCTV) infection in resistant and susceptible sugar beet genotypes. BMC Genomics. 25. Article e1237. https://doi.org/10.1186/s12864-024-11143-y.

A fully phased, chromosome-scale genome of sugar beet line FC309 enables the discovery of Fusarium yellows resistance QTL Reprint Icon - (Peer Reviewed Journal)
Todd, O.E., Simpson, S.A., Scheffler, B.E., Dorn, K.M. 2024. A fully phased, chromosome-scale genome of sugar beet line FC309 enables the discovery of Fusarium yellows resistance QTL. DNA Research. 32(1). https://doi.org/10.1093/dnares/dsae032.

A standard area diagram for Fusarium yellows rating in sugar beet (Beta vulgaris L.) Reprint Icon - (Peer Reviewed Journal)
Todd, O.E., Hanson, L.E., Dorn, K.M. 2024. A standard area diagram for Fusarium yellows rating in sugar beet (Beta vulgaris L.). Plant Pathology Journal. 74(2):422-430. https://doi.org/10.1111/ppa.14028.

Standard area diagram for rating Fusarium oxysporum in sugar beet (Beta vulgaris) - (Pre-print Publication)

Beet crop wild relative germplasm mining uncovers new sources of disease resistance - (Abstract Only)
Dorn, K.M. 2024. Beet crop wild relative germplasm mining uncovers new sources of disease resistance. 79th IIRB Congress 'Innovation: our driver for a profitable and ecologically balanced sugar beet production'. Meeting Abstract.

Future outlook of dryland crop production systems in the semi-arid High Plains amid climate change Reprint Icon - (Review Article)
Todd, O.E., Creech, C.F., Kumar, V., Mahood, A.L., Peirce, E.S. 2024. Future outlook of dryland crop production systems in the semi-arid High Plains amid climate change. Outlooks on Pest Management. 35(1):4-10. https://doi.org/10.1564/v35_feb_02.

A genomic retrospective of beet breeding progress - (Abstract Only)
Dorn, K.M. 2023. A genomic retrospective of beet breeding progress. Plant Genomics and Gene Editing Congress Asia. Meeting Abstract.

Beet crop wild relative germplasm mining uncovers new sources of disease resistance - (Abstract Only)
Dorn, K.M. 2023. Beet crop wild relative germplasm mining uncovers new sources of disease resistance. International Plant and Animal Genome Conference Sugar Crops Workshop. Meeting Abstract.