@article{fdi:010052856,
  title = {{SNP} genotyping defines complex gene-flow boundaries among {A}frican malaria vector mosquitoes},
  author = {{N}eafsey, {D}. {E}. and {L}awniczak, {M}. {K}. {N}. and {P}ark, {D}. {J}. and {R}edmond, {S}. {N}. and {C}oulibaly, {M}. {B}. and {T}raore, {S}. {F}. and {S}agnon, {N}. and {C}ostantini, {C}arlo and {J}ohnson, {C}. and {W}iegand, {R}. {C}. and {C}ollins, {F}. {H}. and {L}ander, {E}. {S}. and {W}irth, {D}. {F}. and {K}afatos, {F}. {C}. and {B}esansky, {N}. {J}. and {C}hristophides, {G}. {K}. and {M}uskavitch, {M}. {A}. {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}osquitoes in the {A}nopheles gambiae complex show rapid ecological and behavioral diversification, traits that promote malaria transmission and complicate vector control efforts. {A} high-density, genome-wide mosquito {SNP}-genotyping array allowed mapping of genomic differentiation between populations and species that exhibit varying levels of reproductive isolation. {R}egions near centromeres or within polymorphic inversions exhibited the greatest genetic divergence, but divergence was also observed elsewhere in the genomes. {S}ignals of natural selection within populations were overrepresented among genomic regions that are differentiated between populations, implying that differentiation is often driven by population-specific selective events. {C}omplex genomic differentiation among speciating vector mosquito populations implies that tools for genome-wide monitoring of population structure will prove useful for the advancement of malaria eradication.},
  keywords = {},
  booktitle = {},
  journal = {{S}cience},
  volume = {330},
  numero = {6003},
  pages = {514--517},
  ISSN = {0036-8075},
  year = {2010},
  DOI = {10.1126/science.1193036},
  URL = {https://www.documentation.ird.fr/hor/fdi:010052856},
}