High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele

<p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p< Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Soller Morris [verfasserIn] Nganga Joseph K [verfasserIn] Iraqi Fuad A [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2010

Übergeordnetes Werk:	In: BMC Genomics - BMC, 2003, 11(2010), 1, p 394
Übergeordnetes Werk:	volume:11 ; year:2010 ; number:1, p 394

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1471-2164-11-394

Katalog-ID:	DOAJ063687895

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245	1	0	\|a High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele
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520			\|a <p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p<
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912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2061
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912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
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912			\|a GBV_ILN_4126
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912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
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912			\|a GBV_ILN_4325
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951			\|a AR
952			\|d 11 \|j 2010 \|e 1, p 394

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author_variant	s m sm n j k njk i f a ifa
matchkey_str	article:14712164:2010----::iheouinapnotyaoooirssaclcitrtadtii3snf2dacdnecosiewtmjr
hierarchy_sort_str	2010
callnumber-subject-code	TP
publishDate	2010
allfields	10.1186/1471-2164-11-394 doi (DE-627)DOAJ063687895 (DE-599)DOAJ81672882452647d383d9162542326418 DE-627 ger DE-627 rakwb eng TP248.13-248.65 QH426-470 Soller Morris verfasserin aut High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p< Biotechnology Genetics Nganga Joseph K verfasserin aut Iraqi Fuad A verfasserin aut In BMC Genomics BMC, 2003 11(2010), 1, p 394 (DE-627)326644954 (DE-600)2041499-7 14712164 nnns volume:11 year:2010 number:1, p 394 https://doi.org/10.1186/1471-2164-11-394 kostenfrei https://doaj.org/article/81672882452647d383d9162542326418 kostenfrei http://www.biomedcentral.com/1471-2164/11/394 kostenfrei https://doaj.org/toc/1471-2164 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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 11 2010 1, p 394
spelling	10.1186/1471-2164-11-394 doi (DE-627)DOAJ063687895 (DE-599)DOAJ81672882452647d383d9162542326418 DE-627 ger DE-627 rakwb eng TP248.13-248.65 QH426-470 Soller Morris verfasserin aut High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p< Biotechnology Genetics Nganga Joseph K verfasserin aut Iraqi Fuad A verfasserin aut In BMC Genomics BMC, 2003 11(2010), 1, p 394 (DE-627)326644954 (DE-600)2041499-7 14712164 nnns volume:11 year:2010 number:1, p 394 https://doi.org/10.1186/1471-2164-11-394 kostenfrei https://doaj.org/article/81672882452647d383d9162542326418 kostenfrei http://www.biomedcentral.com/1471-2164/11/394 kostenfrei https://doaj.org/toc/1471-2164 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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 11 2010 1, p 394
allfields_unstemmed	10.1186/1471-2164-11-394 doi (DE-627)DOAJ063687895 (DE-599)DOAJ81672882452647d383d9162542326418 DE-627 ger DE-627 rakwb eng TP248.13-248.65 QH426-470 Soller Morris verfasserin aut High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p< Biotechnology Genetics Nganga Joseph K verfasserin aut Iraqi Fuad A verfasserin aut In BMC Genomics BMC, 2003 11(2010), 1, p 394 (DE-627)326644954 (DE-600)2041499-7 14712164 nnns volume:11 year:2010 number:1, p 394 https://doi.org/10.1186/1471-2164-11-394 kostenfrei https://doaj.org/article/81672882452647d383d9162542326418 kostenfrei http://www.biomedcentral.com/1471-2164/11/394 kostenfrei https://doaj.org/toc/1471-2164 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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 11 2010 1, p 394
allfieldsGer	10.1186/1471-2164-11-394 doi (DE-627)DOAJ063687895 (DE-599)DOAJ81672882452647d383d9162542326418 DE-627 ger DE-627 rakwb eng TP248.13-248.65 QH426-470 Soller Morris verfasserin aut High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p< Biotechnology Genetics Nganga Joseph K verfasserin aut Iraqi Fuad A verfasserin aut In BMC Genomics BMC, 2003 11(2010), 1, p 394 (DE-627)326644954 (DE-600)2041499-7 14712164 nnns volume:11 year:2010 number:1, p 394 https://doi.org/10.1186/1471-2164-11-394 kostenfrei https://doaj.org/article/81672882452647d383d9162542326418 kostenfrei http://www.biomedcentral.com/1471-2164/11/394 kostenfrei https://doaj.org/toc/1471-2164 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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 11 2010 1, p 394
allfieldsSound	10.1186/1471-2164-11-394 doi (DE-627)DOAJ063687895 (DE-599)DOAJ81672882452647d383d9162542326418 DE-627 ger DE-627 rakwb eng TP248.13-248.65 QH426-470 Soller Morris verfasserin aut High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p< Biotechnology Genetics Nganga Joseph K verfasserin aut Iraqi Fuad A verfasserin aut In BMC Genomics BMC, 2003 11(2010), 1, p 394 (DE-627)326644954 (DE-600)2041499-7 14712164 nnns volume:11 year:2010 number:1, p 394 https://doi.org/10.1186/1471-2164-11-394 kostenfrei https://doaj.org/article/81672882452647d383d9162542326418 kostenfrei http://www.biomedcentral.com/1471-2164/11/394 kostenfrei https://doaj.org/toc/1471-2164 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 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 11 2010 1, p 394
language	English
source	In BMC Genomics 11(2010), 1, p 394 volume:11 year:2010 number:1, p 394
sourceStr	In BMC Genomics 11(2010), 1, p 394 volume:11 year:2010 number:1, p 394
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Biotechnology Genetics
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container_title	BMC Genomics
authorswithroles_txt_mv	Soller Morris @@aut@@ Nganga Joseph K @@aut@@ Iraqi Fuad A @@aut@@
publishDateDaySort_date	2010-01-01T00:00:00Z
hierarchy_top_id	326644954
id	DOAJ063687895
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">DOAJ063687895</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309032302.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2010 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/1471-2164-11-394</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ063687895</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ81672882452647d383d9162542326418</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">TP248.13-248.65</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH426-470</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Soller Morris</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</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<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p<</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biotechnology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Genetics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nganga Joseph K</subfield><subfield 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callnumber-first	T - Technology
author	Soller Morris
spellingShingle	Soller Morris misc TP248.13-248.65 misc QH426-470 misc Biotechnology misc Genetics High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele
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topic_title	TP248.13-248.65 QH426-470 High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele
topic	misc TP248.13-248.65 misc QH426-470 misc Biotechnology misc Genetics
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title	High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele
ctrlnum	(DE-627)DOAJ063687895 (DE-599)DOAJ81672882452647d383d9162542326418
title_full	High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele
author_sort	Soller Morris
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author_browse	Soller Morris Nganga Joseph K Iraqi Fuad A
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title_sort	high resolution mapping of trypanosomosis resistance loci <it<tir</it<2 and <it<tir</it<3 using f12 advanced intercross lines with major locus <it<tir</it<1 fixed for the susceptible allele
callnumber	TP248.13-248.65
title_auth	High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele
abstract	<p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p<
abstractGer	<p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p<
abstract_unstemmed	<p<Abstract</p< <p<Background</p< <p<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p<
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container_issue	1, p 394
title_short	High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele
url	https://doi.org/10.1186/1471-2164-11-394 https://doaj.org/article/81672882452647d383d9162542326418 http://www.biomedcentral.com/1471-2164/11/394 https://doaj.org/toc/1471-2164
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up_date	2024-07-03T19:01:58.293Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ063687895</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309032302.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2010 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/1471-2164-11-394</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ063687895</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ81672882452647d383d9162542326418</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">TP248.13-248.65</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH426-470</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Soller Morris</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2010</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<Trypanosomosis is the most economically important disease constraint to livestock productivity in Africa. A number of trypanotolerant cattle breeds are found in West Africa, and identification of the genes conferring trypanotolerance could lead to effective means of genetic selection for trypanotolerance. In this context, high resolution mapping in mouse models are a promising approach to identifying the genes associated with trypanotolerance. In previous studies, using F2 C57BL/6J × A/J and C57BL/6J × BALB/cJ mouse resource populations, trypanotolerance QTL were mapped within a large genomic intervals of 20-40 cM to chromosomes MMU17, 5 and 1, and denoted <it<Tir</it<1, <it<Tir</it<2 and <it<Tir</it<3 respectively. Subsequently, using F6 C57BL/6J × A/J and C57BL/6J × BALB/cJ F6 advanced intercross lines (AIL), <it<Tir</it<1 was fine mapped to a confidence interval (CI) of less than 1 cM, while <it<Tir</it<2 and <it<Tir</it<3, were mapped within 5-12 cM. <it<Tir</it<1 represents the major trypanotolerance QTL.</p< <p<Results</p< <p<In order to improve map resolutions of <it<Tir</it<2 and <it<Tir</it<3, an F12 C57BL/6J × A/J AIL population fixed for the susceptible alleles at <it<Tir</it<1 QTL was generated. An F12 C57BL/6J × A/J AIL population, fixed for the resistant alleles at <it<Tir</it<1 QTL was also generated to provide an additional estimate of the gene effect of <it<Tir</it<1. The AIL populations homozygous for the resistant and susceptible <it<Tir</it<1 alleles and the parental controls were challenged with <it<T. congolense </it<and followed for survival times over 180 days. Mice from the two survival extremes of the F12 AIL population fixed for the susceptible alleles at <it<Tir</it<1 were genotyped with a dense panel of microsatellite markers spanning the <it<Tir</it<2 and <it<Tir</it<3 genomic regions and QTL mapping was performed. <it<Tir</it<2 was fine mapped to less than 1 cM CI while <it<Tir</it<3 was mapped to three intervals named <it<Tir</it<3a, <it<Tir</it<3b and <it<Tir</it<3c with 95% confidence intervals (CI) of 6, 7.2 and 2.2 cM, respectively.</p< <p<Conclusions</p< <p<The mapped QTL regions encompass genes that are vital to innate immune response and can be potential candidate genes for the underlying QTL.</p<</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Biotechnology</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Genetics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nganga Joseph K</subfield><subfield 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High resolution mapping of trypanosomosis resistance loci <it<Tir</it<2 and <it<Tir</it<3 using F12 advanced intercross lines with major locus <it<Tir</it<1 fixed for the susceptible allele

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