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. 2019 Oct 28;37(11):1372–1379. doi: 10.1038/s41587-019-0268-y

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© The Author(s) 2019

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — PathoTracer (http://webapps.irri.org/pathotracer/index.html) is an online repository that integrates genotypic and phenotypic pathogen data with the resistance profiles of rice accessions to support strategic deployment of varieties in the region. Tester- strain-based prediction of SWEET targets is provided here for SWEET14, using Xoo populations collected from 1972 to 2012 in Laguna, a disease-endemic area in the Philippines (n = 1,294 isolates). A screenshot of the full interface with the same map is shown in Supplementary Fig. 15.