@article{fdi:010064130,
  title = {{B}ushmeat genetics : setting up a reference framework for the {DNA} typing of {A}frican forest bushmeat},
  author = {{G}aubert, {P}hilippe and {N}jiokou, {F}. and {O}layemi, {A}. and {P}agani, {P}. and {D}ufour, {S}. and {D}anquah, {E}. and {N}utsuakor, {M}. {E}. {K}. and {N}gua, {G}. and {M}issoup, {A}. {D}. and {T}edesco, {P}ablo and {D}ernat, {R}. and {A}ntunes, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he bushmeat trade in tropical {A}frica represents illegal, unsustainable off-takes of millions of tons of wild game - mostly mammals - per year. {W}e sequenced four mitochondrial gene fragments (cyt b, {COI}, 12{S}, 16{S}) in >300 bushmeat items representing nine mammalian orders and 59 morphological species from five western and central {A}frican countries ({G}uinea, {G}hana, {N}igeria, {C}ameroon and {E}quatorial {G}uinea). {O}ur objectives were to assess the efficiency of cross-species {PCR} amplification and to evaluate the usefulness of our multilocus approach for reliable bushmeat species identification. {W}e provide a straightforward amplification protocol using a single universal' primer pair per gene that generally yielded >90% {PCR} success rates across orders and was robust to different types of meat preprocessing and {DNA} extraction protocols. {F}or taxonomic identification, we set up a decision pipeline combining similarity- and tree-based approaches with an assessment of taxonomic expertise and coverage of the {GENBANK} database. {O}ur multilocus approach permitted us to: (i) adjust for existing taxonomic gaps in {GENBANK} databases, (ii) assign to the species level 67% of the morphological species hypotheses and (iii) successfully identify samples with uncertain taxonomic attribution (preprocessed carcasses and cryptic lineages). {H}igh levels of genetic polymorphism across genes and taxa, together with the excellent resolution observed among species-level clusters (neighbour-joining trees and {K}lee diagrams) advocate the usefulness of our markers for bushmeat {DNA} typing. {W}e formalize our {DNA} typing decision pipeline through an expert-curated query database - {DNA}bushmeat - that shall permit the automated identification of {A}frican forest bushmeat items.},
  keywords = {{A}frica ; bushmeat ; decision pipeline ; {DNA} typing ; mammals ; mt{DNA} ; {GUINEE} ; {GHANA} ; {NIGERIA} ; {CAMEROUN} ; {GUINEE} {EQUATORIALE}},
  booktitle = {},
  journal = {{M}olecular {E}cology {R}esources},
  volume = {15},
  numero = {3},
  pages = {633--651},
  ISSN = {1755-098{X}},
  year = {2015},
  DOI = {10.1111/1755-0998.12334},
  URL = {https://www.documentation.ird.fr/hor/fdi:010064130},
}