@article{fdi:010075288,
  title = {{N}ext-generation sequencing accelerates crop gene discovery},
  author = {{N}guyen, {K}. {L}. and {G}rondin, {A}lexandre and {C}ourtois, {B}. and {G}antet, {P}ascal},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he identification and isolation of genes underlying quantitative trait loci ({QTL}s) associated with agronomic traits in crops have been recently accelerated thanks to next-generation sequencing ({NGS})-based technologies combined with plant genetics. {W}ith {NGS}, various revisited genetic approaches, which benefited from higher marker density, have been elaborated. {T}hese approaches improved resolution in {QTL} position and assisted in determining functional causative variations in genes. {E}xamples of {QTL}s/genes associated with agronomic traits in crops and identified using different strategies based on whole-genome sequencing ({WGS})/whole-genome resequencing ({WGR}) or {RNA}-seq are presented and discussed in this review. {M}ore specifically, we summarize and illustrate how {NGS} boosted bulk-segregant analysis ({BSA}), expression profiling, and the construction of polymorphism databases to facilitate the detection of {QTL}s and causative genes.},
  keywords = {},
  booktitle = {},
  journal = {{T}rends in {P}lant {S}cience},
  volume = {24},
  numero = {3},
  pages = {263--274},
  ISSN = {1360-1385},
  year = {2019},
  DOI = {10.1016/j.tplants.2018.11.008},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075288},
}