Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso

<p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p< Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Costantini Carlo [verfasserIn] Sagnon N'Fale [verfasserIn] Guelbeogo Wamdaogo M [verfasserIn] Grushko Olga [verfasserIn] Michel Andrew P [verfasserIn] Besansky Nora J [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2006

Übergeordnetes Werk:	In: Malaria Journal - BMC, 2003, 5(2006), 1, p 115
Übergeordnetes Werk:	volume:5 ; year:2006 ; number:1, p 115

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1475-2875-5-115

Katalog-ID:	DOAJ043355579

Internformat


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520			\|a <p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p<
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912			\|a GBV_ILN_2113
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publishDate	2006
allfields	10.1186/1475-2875-5-115 doi (DE-627)DOAJ043355579 (DE-599)DOAJ4589ac73b5864cf082e7caa23ea025b6 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Costantini Carlo verfasserin aut Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p< Arctic medicine. Tropical medicine Infectious and parasitic diseases Sagnon N'Fale verfasserin aut Guelbeogo Wamdaogo M verfasserin aut Grushko Olga verfasserin aut Michel Andrew P verfasserin aut Besansky Nora J verfasserin aut In Malaria Journal BMC, 2003 5(2006), 1, p 115 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:5 year:2006 number:1, p 115 https://doi.org/10.1186/1475-2875-5-115 kostenfrei https://doaj.org/article/4589ac73b5864cf082e7caa23ea025b6 kostenfrei http://www.malariajournal.com/content/5/1/115 kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2006 1, p 115
spelling	10.1186/1475-2875-5-115 doi (DE-627)DOAJ043355579 (DE-599)DOAJ4589ac73b5864cf082e7caa23ea025b6 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Costantini Carlo verfasserin aut Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p< Arctic medicine. Tropical medicine Infectious and parasitic diseases Sagnon N'Fale verfasserin aut Guelbeogo Wamdaogo M verfasserin aut Grushko Olga verfasserin aut Michel Andrew P verfasserin aut Besansky Nora J verfasserin aut In Malaria Journal BMC, 2003 5(2006), 1, p 115 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:5 year:2006 number:1, p 115 https://doi.org/10.1186/1475-2875-5-115 kostenfrei https://doaj.org/article/4589ac73b5864cf082e7caa23ea025b6 kostenfrei http://www.malariajournal.com/content/5/1/115 kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2006 1, p 115
allfields_unstemmed	10.1186/1475-2875-5-115 doi (DE-627)DOAJ043355579 (DE-599)DOAJ4589ac73b5864cf082e7caa23ea025b6 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Costantini Carlo verfasserin aut Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p< Arctic medicine. Tropical medicine Infectious and parasitic diseases Sagnon N'Fale verfasserin aut Guelbeogo Wamdaogo M verfasserin aut Grushko Olga verfasserin aut Michel Andrew P verfasserin aut Besansky Nora J verfasserin aut In Malaria Journal BMC, 2003 5(2006), 1, p 115 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:5 year:2006 number:1, p 115 https://doi.org/10.1186/1475-2875-5-115 kostenfrei https://doaj.org/article/4589ac73b5864cf082e7caa23ea025b6 kostenfrei http://www.malariajournal.com/content/5/1/115 kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2006 1, p 115
allfieldsGer	10.1186/1475-2875-5-115 doi (DE-627)DOAJ043355579 (DE-599)DOAJ4589ac73b5864cf082e7caa23ea025b6 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Costantini Carlo verfasserin aut Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p< Arctic medicine. Tropical medicine Infectious and parasitic diseases Sagnon N'Fale verfasserin aut Guelbeogo Wamdaogo M verfasserin aut Grushko Olga verfasserin aut Michel Andrew P verfasserin aut Besansky Nora J verfasserin aut In Malaria Journal BMC, 2003 5(2006), 1, p 115 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:5 year:2006 number:1, p 115 https://doi.org/10.1186/1475-2875-5-115 kostenfrei https://doaj.org/article/4589ac73b5864cf082e7caa23ea025b6 kostenfrei http://www.malariajournal.com/content/5/1/115 kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2006 1, p 115
allfieldsSound	10.1186/1475-2875-5-115 doi (DE-627)DOAJ043355579 (DE-599)DOAJ4589ac73b5864cf082e7caa23ea025b6 DE-627 ger DE-627 rakwb eng RC955-962 RC109-216 Costantini Carlo verfasserin aut Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso 2006 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p< Arctic medicine. Tropical medicine Infectious and parasitic diseases Sagnon N'Fale verfasserin aut Guelbeogo Wamdaogo M verfasserin aut Grushko Olga verfasserin aut Michel Andrew P verfasserin aut Besansky Nora J verfasserin aut In Malaria Journal BMC, 2003 5(2006), 1, p 115 (DE-627)355986582 (DE-600)2091229-8 14752875 nnns volume:5 year:2006 number:1, p 115 https://doi.org/10.1186/1475-2875-5-115 kostenfrei https://doaj.org/article/4589ac73b5864cf082e7caa23ea025b6 kostenfrei http://www.malariajournal.com/content/5/1/115 kostenfrei https://doaj.org/toc/1475-2875 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 5 2006 1, p 115
language	English
source	In Malaria Journal 5(2006), 1, p 115 volume:5 year:2006 number:1, p 115
sourceStr	In Malaria Journal 5(2006), 1, p 115 volume:5 year:2006 number:1, p 115
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Arctic medicine. Tropical medicine Infectious and parasitic diseases
isfreeaccess_bool	true
container_title	Malaria Journal
authorswithroles_txt_mv	Costantini Carlo @@aut@@ Sagnon N'Fale @@aut@@ Guelbeogo Wamdaogo M @@aut@@ Grushko Olga @@aut@@ Michel Andrew P @@aut@@ Besansky Nora J @@aut@@
publishDateDaySort_date	2006-01-01T00:00:00Z
hierarchy_top_id	355986582
id	DOAJ043355579
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ043355579</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502230959.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2006 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/1475-2875-5-115</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ043355579</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ4589ac73b5864cf082e7caa23ea025b6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC955-962</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC109-216</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Costantini Carlo</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2006</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a"><p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. 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callnumber-first	R - Medicine
author	Costantini Carlo
spellingShingle	Costantini Carlo misc RC955-962 misc RC109-216 misc Arctic medicine. Tropical medicine misc Infectious and parasitic diseases Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso
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topic_title	RC955-962 RC109-216 Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso
topic	misc RC955-962 misc RC109-216 misc Arctic medicine. Tropical medicine misc Infectious and parasitic diseases
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title	Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso
ctrlnum	(DE-627)DOAJ043355579 (DE-599)DOAJ4589ac73b5864cf082e7caa23ea025b6
title_full	Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso
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author_browse	Costantini Carlo Sagnon N'Fale Guelbeogo Wamdaogo M Grushko Olga Michel Andrew P Besansky Nora J
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title_sort	effective population size of <it<anopheles funestus </it<chromosomal forms in burkina faso
callnumber	RC955-962
title_auth	Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso
abstract	<p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p<
abstractGer	<p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p<
abstract_unstemmed	<p<Abstract</p< <p<Background</p< <p<As <it<Anopheles funestus </it<is one of the principal Afro-tropical malaria vectors, a more complete understanding of its population structure is desirable. In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p<
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container_issue	1, p 115
title_short	Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso
url	https://doi.org/10.1186/1475-2875-5-115 https://doaj.org/article/4589ac73b5864cf082e7caa23ea025b6 http://www.malariajournal.com/content/5/1/115 https://doaj.org/toc/1475-2875
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In West and Central Africa, <it<An. funestus </it<population structure is complicated by the coexistence of two assortatively mating chromosomal forms. Effective population size (<it<N</it<<sub<<it<e</it<</sub<) is a key parameter in understanding patterns and levels of intraspecific variation, as it reflects the role of genetic drift. Here, <it<N</it<<sub<<it<e </it<</sub<was estimated from both chromosomal forms, Kiribina and Folonzo, in Burkina Faso.</p< <p<Methods</p< <p<Short-term <it<N</it<<sub<<it<e </it<</sub<was estimated by evaluating variation at 16 microsatellite loci across temporal samples collected annually from 2000–2002. Estimates were based on standardized variance in allele frequencies or a maximum likelihood method. Long-term <it<N</it<<sub<<it<e </it<</sub<was estimated from genetic diversity estimates using mtDNA sequences and microsatellites.</p< <p<Results</p< <p<For both forms, short-term and long-term <it<N</it<<sub<<it<e </it<</sub<estimates were on the order of 10<sup<3 </sup<and 10<sup<5</sup<, respectively. Long-term <it<N</it<<sub<<it<e </it<</sub<estimates were larger when based on loci from chromosome 3R (both inside and outside of inversions) than loci outside of this arm.</p< <p<Conclusion</p< <p<<it<N</it<<sub<<it<e </it<</sub<values indicate that <it<An. funestus </it<is not subject to seasonal bottlenecks. Though not statistically different because of large and overlapping confidence intervals, short-term <it<N</it<<sub<<it<e </it<</sub<estimates were consistently smaller for Kiribina than Folonzo, possibly due to exploitation of different breeding sites: permanent for Folonzo and intermittent for Kiribina. The higher long-term <it<N</it<<sub<<it<e </it<</sub<estimates on 3R, the arm carrying the two inversions mainly responsible for defining the chromosomal forms, give natural selection broader scope and merit further study.</p<</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Arctic medicine. Tropical medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Infectious and parasitic diseases</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sagnon N'Fale</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Guelbeogo Wamdaogo M</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Grushko Olga</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Michel Andrew P</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Besansky Nora J</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Malaria Journal</subfield><subfield code="d">BMC, 2003</subfield><subfield code="g">5(2006), 1, p 115</subfield><subfield code="w">(DE-627)355986582</subfield><subfield code="w">(DE-600)2091229-8</subfield><subfield code="x">14752875</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:5</subfield><subfield code="g">year:2006</subfield><subfield code="g">number:1, p 115</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1186/1475-2875-5-115</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/4589ac73b5864cf082e7caa23ea025b6</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield 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Effective population size of <it<Anopheles funestus </it<chromosomal forms in Burkina Faso

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