Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)

Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using th...
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Autor*in:	Jindong Liu [verfasserIn] Zhonghu He [verfasserIn] Awais Rasheed [verfasserIn] Weie Wen [verfasserIn] Jun Yan [verfasserIn] Pingzhi Zhang [verfasserIn] Yingxiu Wan [verfasserIn] Yong Zhang [verfasserIn] Chaojie Xie [verfasserIn] Xianchun Xia [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS

Übergeordnetes Werk:	In: BMC Plant Biology - BMC, 2003, 17(2017), 1, Seite 12
Übergeordnetes Werk:	volume:17 ; year:2017 ; number:1 ; pages:12

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12870-017-1167-3

Katalog-ID:	DOAJ056462247

Internformat


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520			\|a Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction.
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author_variant	j l jl z h zh a r ar w w ww j y jy p z pz y w yw y z yz c x cx x x xx
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allfields	10.1186/s12870-017-1167-3 doi (DE-627)DOAJ056462247 (DE-599)DOAJe6a6a0ef0ffc4511aa6e211d65a5cf1f DE-627 ger DE-627 rakwb eng QK1-989 Jindong Liu verfasserin aut Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.) 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction. 660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS Botany Zhonghu He verfasserin aut Awais Rasheed verfasserin aut Weie Wen verfasserin aut Jun Yan verfasserin aut Pingzhi Zhang verfasserin aut Yingxiu Wan verfasserin aut Yong Zhang verfasserin aut Chaojie Xie verfasserin aut Xianchun Xia verfasserin aut In BMC Plant Biology BMC, 2003 17(2017), 1, Seite 12 (DE-627)335489060 (DE-600)2059868-3 14712229 nnns volume:17 year:2017 number:1 pages:12 https://doi.org/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/article/e6a6a0ef0ffc4511aa6e211d65a5cf1f kostenfrei http://link.springer.com/article/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/toc/1471-2229 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_224 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 17 2017 1 12
spelling	10.1186/s12870-017-1167-3 doi (DE-627)DOAJ056462247 (DE-599)DOAJe6a6a0ef0ffc4511aa6e211d65a5cf1f DE-627 ger DE-627 rakwb eng QK1-989 Jindong Liu verfasserin aut Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.) 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction. 660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS Botany Zhonghu He verfasserin aut Awais Rasheed verfasserin aut Weie Wen verfasserin aut Jun Yan verfasserin aut Pingzhi Zhang verfasserin aut Yingxiu Wan verfasserin aut Yong Zhang verfasserin aut Chaojie Xie verfasserin aut Xianchun Xia verfasserin aut In BMC Plant Biology BMC, 2003 17(2017), 1, Seite 12 (DE-627)335489060 (DE-600)2059868-3 14712229 nnns volume:17 year:2017 number:1 pages:12 https://doi.org/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/article/e6a6a0ef0ffc4511aa6e211d65a5cf1f kostenfrei http://link.springer.com/article/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/toc/1471-2229 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_224 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 17 2017 1 12
allfields_unstemmed	10.1186/s12870-017-1167-3 doi (DE-627)DOAJ056462247 (DE-599)DOAJe6a6a0ef0ffc4511aa6e211d65a5cf1f DE-627 ger DE-627 rakwb eng QK1-989 Jindong Liu verfasserin aut Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.) 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction. 660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS Botany Zhonghu He verfasserin aut Awais Rasheed verfasserin aut Weie Wen verfasserin aut Jun Yan verfasserin aut Pingzhi Zhang verfasserin aut Yingxiu Wan verfasserin aut Yong Zhang verfasserin aut Chaojie Xie verfasserin aut Xianchun Xia verfasserin aut In BMC Plant Biology BMC, 2003 17(2017), 1, Seite 12 (DE-627)335489060 (DE-600)2059868-3 14712229 nnns volume:17 year:2017 number:1 pages:12 https://doi.org/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/article/e6a6a0ef0ffc4511aa6e211d65a5cf1f kostenfrei http://link.springer.com/article/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/toc/1471-2229 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_224 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 17 2017 1 12
allfieldsGer	10.1186/s12870-017-1167-3 doi (DE-627)DOAJ056462247 (DE-599)DOAJe6a6a0ef0ffc4511aa6e211d65a5cf1f DE-627 ger DE-627 rakwb eng QK1-989 Jindong Liu verfasserin aut Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.) 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction. 660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS Botany Zhonghu He verfasserin aut Awais Rasheed verfasserin aut Weie Wen verfasserin aut Jun Yan verfasserin aut Pingzhi Zhang verfasserin aut Yingxiu Wan verfasserin aut Yong Zhang verfasserin aut Chaojie Xie verfasserin aut Xianchun Xia verfasserin aut In BMC Plant Biology BMC, 2003 17(2017), 1, Seite 12 (DE-627)335489060 (DE-600)2059868-3 14712229 nnns volume:17 year:2017 number:1 pages:12 https://doi.org/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/article/e6a6a0ef0ffc4511aa6e211d65a5cf1f kostenfrei http://link.springer.com/article/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/toc/1471-2229 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_224 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 17 2017 1 12
allfieldsSound	10.1186/s12870-017-1167-3 doi (DE-627)DOAJ056462247 (DE-599)DOAJe6a6a0ef0ffc4511aa6e211d65a5cf1f DE-627 ger DE-627 rakwb eng QK1-989 Jindong Liu verfasserin aut Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.) 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction. 660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS Botany Zhonghu He verfasserin aut Awais Rasheed verfasserin aut Weie Wen verfasserin aut Jun Yan verfasserin aut Pingzhi Zhang verfasserin aut Yingxiu Wan verfasserin aut Yong Zhang verfasserin aut Chaojie Xie verfasserin aut Xianchun Xia verfasserin aut In BMC Plant Biology BMC, 2003 17(2017), 1, Seite 12 (DE-627)335489060 (DE-600)2059868-3 14712229 nnns volume:17 year:2017 number:1 pages:12 https://doi.org/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/article/e6a6a0ef0ffc4511aa6e211d65a5cf1f kostenfrei http://link.springer.com/article/10.1186/s12870-017-1167-3 kostenfrei https://doaj.org/toc/1471-2229 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_224 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 17 2017 1 12
language	English
source	In BMC Plant Biology 17(2017), 1, Seite 12 volume:17 year:2017 number:1 pages:12
sourceStr	In BMC Plant Biology 17(2017), 1, Seite 12 volume:17 year:2017 number:1 pages:12
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS Botany
isfreeaccess_bool	true
container_title	BMC Plant Biology
authorswithroles_txt_mv	Jindong Liu @@aut@@ Zhonghu He @@aut@@ Awais Rasheed @@aut@@ Weie Wen @@aut@@ Jun Yan @@aut@@ Pingzhi Zhang @@aut@@ Yingxiu Wan @@aut@@ Yong Zhang @@aut@@ Chaojie Xie @@aut@@ Xianchun Xia @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	335489060
id	DOAJ056462247
language_de	englisch
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Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. 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callnumber-first	Q - Science
author	Jindong Liu
spellingShingle	Jindong Liu misc QK1-989 misc 660 K SNP array misc 90 K SNP array misc Enzymatic browning misc Favorable and unfavorable allele misc GWAS misc Botany Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)
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topic_title	QK1-989 Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.) 660 K SNP array 90 K SNP array Enzymatic browning Favorable and unfavorable allele GWAS
topic	misc QK1-989 misc 660 K SNP array misc 90 K SNP array misc Enzymatic browning misc Favorable and unfavorable allele misc GWAS misc Botany
topic_unstemmed	misc QK1-989 misc 660 K SNP array misc 90 K SNP array misc Enzymatic browning misc Favorable and unfavorable allele misc GWAS misc Botany
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title	Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)
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title_full	Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)
author_sort	Jindong Liu
journal	BMC Plant Biology
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author_browse	Jindong Liu Zhonghu He Awais Rasheed Weie Wen Jun Yan Pingzhi Zhang Yingxiu Wan Yong Zhang Chaojie Xie Xianchun Xia
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title_sort	genome-wide association mapping of black point reaction in common wheat (triticum aestivum l.)
callnumber	QK1-989
title_auth	Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)
abstract	Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction.
abstractGer	Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction.
abstract_unstemmed	Abstract Background Black point is a serious threat to wheat production and can be managed by host resistance. Marker-assisted selection (MAS) has the potential to accelerate genetic improvement of black point resistance in wheat breeding. We performed a genome-wide association study (GWAS) using the high-density wheat 90 K and 660 K single nucleotide polymorphism (SNP) assays to better understand the genetic basis of black point resistance and identify associated molecular markers. Results Black point reactions were evaluated in 166 elite wheat cultivars in five environments. Twenty-five unique loci were identified on chromosomes 2A, 2B, 3A, 3B (2), 3D, 4B (2), 5A (3), 5B (3), 6A, 6B, 6D, 7A (5), 7B and 7D (2), respectively, explaining phenotypic variation ranging from 7.9 to 18.0%. The highest number of loci was detected in the A genome (11), followed by the B (10) and D (4) genomes. Among these, 13 were identified in two or more environments. Seven loci coincided with known genes or quantitative trait locus (QTL), whereas the other 18 were potentially novel loci. Linear regression showed a clear dependence of black point scores on the number of favorable alleles, suggesting that QTL pyramiding will be an effective approach to increase resistance. In silico analysis of sequences of resistance-associated SNPs identified 6 genes possibly involved in oxidase, signal transduction and stress resistance as candidate genes involved in black point reaction. Conclusion SNP markers significantly associated with black point resistance and accessions with a larger number of resistance alleles can be used to further enhance black point resistance in breeding. This study provides new insights into the genetic architecture of black point reaction.
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title_short	Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)
url	https://doi.org/10.1186/s12870-017-1167-3 https://doaj.org/article/e6a6a0ef0ffc4511aa6e211d65a5cf1f http://link.springer.com/article/10.1186/s12870-017-1167-3 https://doaj.org/toc/1471-2229
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author2	Zhonghu He Awais Rasheed Weie Wen Jun Yan Pingzhi Zhang Yingxiu Wan Yong Zhang Chaojie Xie Xianchun Xia
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up_date	2024-07-03T20:59:46.520Z
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Genome-wide association mapping of black point reaction in common wheat (Triticum aestivum L.)

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