@article{fdi:010077321,
  title = {{D}iagnostic kit for rice blight resistance},
  author = {{E}om, {J}. {S}. and {L}uo, {D}. {P}. and {A}tienza-{G}rande, {G}. and {Y}ang, {J}. and {J}i, {C}. {H}. and {L}uu, {V}. {T}. and {H}uguet-{T}apia, {J}. {C}. and {C}har, {S}. {N}. and {L}iu, {B}. and {N}guyen, {H}. and {S}chmidt, {S}. {M}. and {S}zurek, {B}oris and {C}ruz, {C}. {V}. and {W}hite, {F}. {F}. and {O}liva, {R}. and {Y}ang, {B}. and {F}rommer, {W}. {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}light-resistant rice lines are the most effective solution for bacterial blight, caused by {X}anthomonas oryzae pv. oryzae ({X}oo). {K}ey resistance mechanisms involve {SWEET} genes as susceptibility factors. {B}acterial transcription activator-like ({TAL}) effectors bind to effector-binding elements ({EBE}s) in {SWEET} gene promoters and induce {SWEET} genes. {EBE} variants that cannot be recognized by {TAL} effectors abrogate induction, causing resistance. {H}ere we describe a diagnostic kit to enable analysis of bacterial blight in the field and identification of suitable resistant lines. {S}pecifically, 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. {W}e also developed {CRISPR}-{C}as9 genome-edited {K}itaake 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.},
  keywords = {},
  booktitle = {},
  journal = {{N}ature {B}iotechnology},
  volume = {37},
  numero = {11},
  pages = {1372--1379 + 1 p.},
  ISSN = {1087-0156},
  year = {2019},
  DOI = {10.1038/s41587-019-0268-y},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077321},
}