@article{fdi:010082164,
  title = {{A} targeted amplicon sequencing panel to simultaneously identify mosquito species and {P}lasmodium presence across the entire {A}nopheles genus},
  author = {{M}akunin, {A}. and {K}orlevic, {P}. and {P}ark, {N}. and {G}oodwin, {S}. and {W}aterhouse, {R}. {M}. and von {W}yschetzki, {K}. and {J}acob, {C}. {G}. and {D}avies, {R}. and {K}wiatkowski, {D}. and {S}t {L}aurent, {B}. and {A}yala, {D}iego and {L}awniczak, {M}. {K}. {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}nopheles is a diverse genus of mosquitoes comprising over 500 described species, including all known human malaria vectors. {W}hile a limited number of key vector species have been studied in detail, the goal of malaria elimination calls for surveillance of all potential vector species. {H}ere, we develop a multilocus amplicon sequencing approach that targets 62 highly variable loci in the {A}nopheles genome and two conserved loci in the {P}lasmodium mitochondrion, simultaneously revealing both the mosquito species and whether that mosquito carries malaria parasites. {W}e also develop a cheap, nondestructive, and high-throughput {DNA} extraction workflow that provides template {DNA} from single mosquitoes for the multiplex {PCR}, which means specimens producing unexpected results can be returned to for morphological examination. {O}ver 1000 individual mosquitoes can be sequenced in a single {M}i{S}eq run, and we demonstrate the panel's power to assign species identity using sequencing data for 40 species from {A}frica, {S}outheast {A}sia, and {S}outh {A}merica. {W}e also show that the approach can be used to resolve geographic population structure within {A}n. gambiae and {A}n. coluzzii populations, as the population structure determined based on these 62 loci from over 1000 mosquitoes closely mirrors that revealed through whole genome sequencing. {T}he end-to-end approach is quick, inexpensive, robust, and accurate, which makes it a promising technique for very large-scale mosquito genetic surveillance and vector control.},
  keywords = {high-throughput sequencing ; malaria ; population genetics ; species ; identification ; vector surveillance ; {GABON} ; {CAMBODGE} ; {BRESIL}},
  booktitle = {},
  journal = {{M}olecular {E}cology {R}esources},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[17 ]},
  ISSN = {1755-098{X}},
  year = {2021},
  DOI = {10.1111/1755-0998.13436},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082164},
}