@article{fdi:010049661,
  title = {{P}opulation genetic structure of the malaria vector {A}nopheles nili in sub-{S}aharan {A}frica},
  author = {{N}do, {C}. and {A}ntonio-{N}kondjio, {C}. and {C}ohuet, {A}nna and {A}yala, {D}iego and {K}engne, {P}ierre and {M}orlais, {I}sabelle and {A}wono-{A}mb{\'e}n{\'e}, {P}. {H}. and {C}ouret, {D}aniel and {N}gassam, {P}. and {F}ontenille, {D}idier and {S}imard, {F}r{\'e}d{\'e}ric},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {A}nopheles nili is a widespread efficient vector of human malaria parasites in the humid savannas and forested areas of sub-{S}aharan {A}frica. {U}nderstanding {A}n. nili population structure and gene flow patterns could be useful for the development of locally-adapted vector control measures. {M}ethods: {P}olymorphism at eleven recently developed microsatelitte markers, and sequence variation in four genes within the 28s r{DNA} subunit ({ITS}2 and {D}3) and mt{DNA} ({COII} and {ND}4) were assessed to explore the level of genetic variability and differentiation among nine populations of {A}n. nili from {S}enegal, {I}vory {C}oast, {B}urkina {F}aso, {N}igeria, {C}ameroon and the {D}emocratic {R}epublic of {C}ongo ({DRC}). {R}esults: {A}ll microsatellite loci successfully amplified in all populations, showing high and very similar levels of genetic diversity in populations from {W}est {A}frica and {C}ameroon (mean {R}s = 8.10-8.88, mean {H}e = 0.805-0.849) and much lower diversity in the {K}enge population from {DRC} (mean {R}s = 5.43, mean {H}e = 0.594). {B}ayesian clustering analysis of microsatellite allelic frequencies revealed two main genetic clusters in the dataset. {T}he first one included only the {K}enge population and the second grouped together all other populations. {H}igh {F}st estimates based on microsatellites ({F}st > 0.118, {P} < 0.001) were observed in all comparisons between {K}enge and all other populations. {B}y contrast, low {F}st estimates ({F}st < 0.022, {P} < 0.05) were observed between populations within the second cluster. {T}he correlation between genetic and geographic distances was weak and possibly obscured by demographic instability. {S}equence variation in mt{DNA} genes matched these results, whereas low polymorphism in r{DNA} genes prevented detection of any population substructure at this geographical scale. {C}onclusion: {O}verall, high genetic homogeneity of the {A}n. nili gene pool was found across its distribution range in {W}est and {C}entral {A}frica, although demographic events probably resulted in a higher level of genetic isolation in the marginal population of {K}enge ({DRC}). {T}he role of the equatorial forest block as a barrier to gene flow and the implication of such findings for vector control are discussed.},
  keywords = {{AFRIQUE} {SUBSAHARIENNE}},
  booktitle = {},
  journal = {{M}alaria {J}ournal},
  volume = {9},
  numero = {1},
  pages = {161},
  ISSN = {1475-2875},
  year = {2010},
  DOI = {10.1186/1475-2875-9-161},
  URL = {https://www.documentation.ird.fr/hor/fdi:010049661},
}