@article{fdi:010072484,
  title = {{D}a{TAL}base : a database for genomic and transcriptomic data related to {TAL} effectors},
  author = {{P}erez-{Q}uintero, {A}. {L}. and {L}amy, {L}{\'e}o and {Z}arate, {C}. {A}. and {C}unnac, {S}{\'e}bastien and {D}oyle, {E}. and {B}ogdanove, {A}. and {S}zurek, {B}oris and {D}ereeper, {A}lexis},
  editor = {},
  language = {{ENG}},
  abstract = {{T}ranscription activator-like effectors ({TALE}s) are proteins found in the genus {X}anthomonas of phytopathogenic bacteria. {T}hese proteins enter the nucleus of cells in the host plant and can induce the expression of susceptibility genes ({S} genes), triggering disease. {TALE}s bind the promoter region of {S} genes following a specific code, which allows the prediction of binding sites based on {TALE}s amino acid sequences. {N}ew candidate {S} genes can then be discovered by finding the intersection between genes induced in the presence of {TALE}s and genes containing predicted effector binding elements. {B}y contrasting differential expression data and binding site predictions across different datasets, patterns of {TALE} diversification or convergence may be unveiled, but this requires the seamless integration of different genomic and transcriptomic data. {W}ith this in mind, we present da{TAL}base, a curated relational database that integrates {TALE}-related data including bacterial {TALE} sequences, plant promoter sequences, predicted {TALE} binding sites, transcriptomic data of host plants in response to {TALE}-harboring bacteria, and other associated data. {T}he database can be explored to uncover new candidate {S} genes as well as to study variation in {TALE} repertories and their corresponding targets. {T}he first version of the database here presented includes data for {O}ryza sp.-{X}anthomonas pv. oryzae interactions. {F}uture versions of the database will incorporate information for other pathosystems involving {TALE}s.},
  keywords = {},
  booktitle = {},
  journal = {{M}olecular {P}lant-{M}icrobe {I}nteractions},
  volume = {31},
  numero = {4},
  pages = {471--480},
  ISSN = {0894-0282},
  year = {2018},
  DOI = {10.1094/mpmi-06-17-0153-fi},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072484},
}