@article{fdi:010095218,
  title = {{O}ptimization and evaluation of the best{RAD} sequencing approach : towards ascertainment of the invasion routes of the {O}riental fruit fly, {B}actrocera dorsalis},
  author = {{C}harbonnel, {E}. and {B}enoit, {L}. and {N}idelet, {S}. and {O}rtega {A}bboud, {E}nrique and {G}schloessl, {B}. and {L}eblois, {R}. and {O}uvrard, {D}. and {C}hapuis, {M}.{P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he best{RAD} technique is a reduced genome representation approach with high-capacity sample multiplexing and physical isolation of biotin-labelled target {DNA} fragments using streptavidin beads, which should reduce total cost and genotyping errors. {W}hile we here formalise the relevance of this approach within the {HTS} landscape, our foremost aim was to improve its replicability, validity, and transparency. {W}e first optimised the molecular laboratory protocol and shared the associated protocols (e.g., final detailed methodologies, quality control, best practices) under the {FAIR} principles. {U}sing 84 worldwide individual samples of the {O}riental fruit fly, {B}actrocera dorsalis, a major invasive pest, we revealed a low rate of {PCR} duplicates, robustness to {DNA} quality and quantity, high genotype call rate, insignificant genotyping error rate, high nuclear and mitochondrial genome representativeness, and a high level of genetic information. {T}his in-depth data quality assessment, along with total cost and handling time reduced by an estimated one-third relative to the parent {RAD}-{S}eq version, demonstrates that best{RAD} is an excellent compromise between cost and quality. {W}hile we generated high-quality genomic resources for {B}. dorsalis, we also share details and recommendations for the best{RAD} technique that can be readily used in any laboratory and applied to all organisms, even without published genome sequence.},
  keywords = {},
  booktitle = {},
  journal = {{M}olecular {E}cology {R}esources},
  volume = {25},
  numero = {8},
  pages = {e14114 [15 ]},
  ISSN = {1755-098{X}},
  year = {2025},
  DOI = {10.1111/1755-0998.14114},
  URL = {https://www.documentation.ird.fr/hor/fdi:010095218},
}