%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Eom, J. S.
%A Luo, D. P.
%A Atienza-Grande, G.
%A Yang, J.
%A Ji, C. H.
%A Luu, V. T.
%A Huguet-Tapia, J. C.
%A Char, S. N.
%A Liu, B.
%A Nguyen, H.
%A Schmidt, S. M.
%A Szurek, Boris
%A Cruz, C. V.
%A White, F. F.
%A Oliva, R.
%A Yang, B.
%A Frommer, W. B.
%T Diagnostic kit for rice blight resistance
%D 2019
%L fdi:010077321
%G ENG
%J Nature Biotechnology
%@ 1087-0156
%M ISI:000494984400025
%N 11
%P 1372-1379 + 1
%R 10.1038/s41587-019-0268-y
%U https://www.documentation.ird.fr/hor/fdi:010077321
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers19-11/010077321.pdf
%V 37
%W Horizon (IRD)
%X Blight-resistant rice lines are the most effective solution for bacterial blight, caused by Xanthomonas oryzae pv. oryzae (Xoo). Key resistance mechanisms involve SWEET genes as susceptibility factors. Bacterial transcription activator-like (TAL) effectors bind to effector-binding elements (EBEs) in SWEET gene promoters and induce SWEET genes. EBE variants that cannot be recognized by TAL effectors abrogate induction, causing resistance. Here we describe a diagnostic kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. Specifically, we include a SWEET promoter database, RT-PCR primers for detecting SWEET induction, engineered reporter rice lines to visualize SWEET protein accumulation and knock-out rice lines to identify virulence mechanisms in bacterial isolates. We also developed CRISPR-Cas9 genome-edited Kitaake rice to evaluate the efficacy of EBE mutations in resistance, software to predict the optimal resistance gene set for a specific geographic region, and two resistant 'mega' rice lines that will empower farmers to plant lines that are most likely to resist rice blight.
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