Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping

Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, includin...
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Autor*in:	Xiaoli Fan [verfasserIn] Fa Cui [verfasserIn] Jun Ji [verfasserIn] Wei Zhang [verfasserIn] Xueqiang Zhao [verfasserIn] JiaJia Liu [verfasserIn] Deyuan Meng [verfasserIn] Yiping Tong [verfasserIn] Tao Wang [verfasserIn] Junming Li [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Schlagwörter:	spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat

Übergeordnetes Werk:	In: Frontiers in Plant Science - Frontiers Media S.A., 2011, 10(2019)
Übergeordnetes Werk:	volume:10 ; year:2019

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpls.2019.00187

Katalog-ID:	DOAJ041379888

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520			\|a Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions.
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allfields	10.3389/fpls.2019.00187 doi (DE-627)DOAJ041379888 (DE-599)DOAJ9325bfe999b24a509e06a396a279763c DE-627 ger DE-627 rakwb eng SB1-1110 Xiaoli Fan verfasserin aut Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions. spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat Plant culture Fa Cui verfasserin aut Jun Ji verfasserin aut Jun Ji verfasserin aut Wei Zhang verfasserin aut Xueqiang Zhao verfasserin aut JiaJia Liu verfasserin aut Deyuan Meng verfasserin aut Yiping Tong verfasserin aut Tao Wang verfasserin aut Tao Wang verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 10(2019) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:10 year:2019 https://doi.org/10.3389/fpls.2019.00187 kostenfrei https://doaj.org/article/9325bfe999b24a509e06a396a279763c kostenfrei https://www.frontiersin.org/article/10.3389/fpls.2019.00187/full kostenfrei https://doaj.org/toc/1664-462X 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_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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 10 2019
spelling	10.3389/fpls.2019.00187 doi (DE-627)DOAJ041379888 (DE-599)DOAJ9325bfe999b24a509e06a396a279763c DE-627 ger DE-627 rakwb eng SB1-1110 Xiaoli Fan verfasserin aut Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions. spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat Plant culture Fa Cui verfasserin aut Jun Ji verfasserin aut Jun Ji verfasserin aut Wei Zhang verfasserin aut Xueqiang Zhao verfasserin aut JiaJia Liu verfasserin aut Deyuan Meng verfasserin aut Yiping Tong verfasserin aut Tao Wang verfasserin aut Tao Wang verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 10(2019) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:10 year:2019 https://doi.org/10.3389/fpls.2019.00187 kostenfrei https://doaj.org/article/9325bfe999b24a509e06a396a279763c kostenfrei https://www.frontiersin.org/article/10.3389/fpls.2019.00187/full kostenfrei https://doaj.org/toc/1664-462X 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_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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 10 2019
allfields_unstemmed	10.3389/fpls.2019.00187 doi (DE-627)DOAJ041379888 (DE-599)DOAJ9325bfe999b24a509e06a396a279763c DE-627 ger DE-627 rakwb eng SB1-1110 Xiaoli Fan verfasserin aut Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions. spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat Plant culture Fa Cui verfasserin aut Jun Ji verfasserin aut Jun Ji verfasserin aut Wei Zhang verfasserin aut Xueqiang Zhao verfasserin aut JiaJia Liu verfasserin aut Deyuan Meng verfasserin aut Yiping Tong verfasserin aut Tao Wang verfasserin aut Tao Wang verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 10(2019) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:10 year:2019 https://doi.org/10.3389/fpls.2019.00187 kostenfrei https://doaj.org/article/9325bfe999b24a509e06a396a279763c kostenfrei https://www.frontiersin.org/article/10.3389/fpls.2019.00187/full kostenfrei https://doaj.org/toc/1664-462X 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_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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 10 2019
allfieldsGer	10.3389/fpls.2019.00187 doi (DE-627)DOAJ041379888 (DE-599)DOAJ9325bfe999b24a509e06a396a279763c DE-627 ger DE-627 rakwb eng SB1-1110 Xiaoli Fan verfasserin aut Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions. spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat Plant culture Fa Cui verfasserin aut Jun Ji verfasserin aut Jun Ji verfasserin aut Wei Zhang verfasserin aut Xueqiang Zhao verfasserin aut JiaJia Liu verfasserin aut Deyuan Meng verfasserin aut Yiping Tong verfasserin aut Tao Wang verfasserin aut Tao Wang verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 10(2019) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:10 year:2019 https://doi.org/10.3389/fpls.2019.00187 kostenfrei https://doaj.org/article/9325bfe999b24a509e06a396a279763c kostenfrei https://www.frontiersin.org/article/10.3389/fpls.2019.00187/full kostenfrei https://doaj.org/toc/1664-462X 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_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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 10 2019
allfieldsSound	10.3389/fpls.2019.00187 doi (DE-627)DOAJ041379888 (DE-599)DOAJ9325bfe999b24a509e06a396a279763c DE-627 ger DE-627 rakwb eng SB1-1110 Xiaoli Fan verfasserin aut Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions. spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat Plant culture Fa Cui verfasserin aut Jun Ji verfasserin aut Jun Ji verfasserin aut Wei Zhang verfasserin aut Xueqiang Zhao verfasserin aut JiaJia Liu verfasserin aut Deyuan Meng verfasserin aut Yiping Tong verfasserin aut Tao Wang verfasserin aut Tao Wang verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut Junming Li verfasserin aut In Frontiers in Plant Science Frontiers Media S.A., 2011 10(2019) (DE-627)662359240 (DE-600)2613694-6 1664462X nnns volume:10 year:2019 https://doi.org/10.3389/fpls.2019.00187 kostenfrei https://doaj.org/article/9325bfe999b24a509e06a396a279763c kostenfrei https://www.frontiersin.org/article/10.3389/fpls.2019.00187/full kostenfrei https://doaj.org/toc/1664-462X 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_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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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 10 2019
language	English
source	In Frontiers in Plant Science 10(2019) volume:10 year:2019
sourceStr	In Frontiers in Plant Science 10(2019) volume:10 year:2019
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat Plant culture
isfreeaccess_bool	true
container_title	Frontiers in Plant Science
authorswithroles_txt_mv	Xiaoli Fan @@aut@@ Fa Cui @@aut@@ Jun Ji @@aut@@ Wei Zhang @@aut@@ Xueqiang Zhao @@aut@@ JiaJia Liu @@aut@@ Deyuan Meng @@aut@@ Yiping Tong @@aut@@ Tao Wang @@aut@@ Junming Li @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	662359240
id	DOAJ041379888
language_de	englisch
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callnumber-first	S - Agriculture
author	Xiaoli Fan
spellingShingle	Xiaoli Fan misc SB1-1110 misc spike characteristics misc low nitrogen tolerance misc quantitative trait locus misc conditional QTL mapping misc wheat misc Plant culture Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping
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topic_title	SB1-1110 Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping spike characteristics low nitrogen tolerance quantitative trait locus conditional QTL mapping wheat
topic	misc SB1-1110 misc spike characteristics misc low nitrogen tolerance misc quantitative trait locus misc conditional QTL mapping misc wheat misc Plant culture
topic_unstemmed	misc SB1-1110 misc spike characteristics misc low nitrogen tolerance misc quantitative trait locus misc conditional QTL mapping misc wheat misc Plant culture
topic_browse	misc SB1-1110 misc spike characteristics misc low nitrogen tolerance misc quantitative trait locus misc conditional QTL mapping misc wheat misc Plant culture
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title	Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping
ctrlnum	(DE-627)DOAJ041379888 (DE-599)DOAJ9325bfe999b24a509e06a396a279763c
title_full	Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping
author_sort	Xiaoli Fan
journal	Frontiers in Plant Science
journalStr	Frontiers in Plant Science
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lang_code	eng
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author_browse	Xiaoli Fan Fa Cui Jun Ji Wei Zhang Xueqiang Zhao JiaJia Liu Deyuan Meng Yiping Tong Tao Wang Junming Li
container_volume	10
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format_se	Elektronische Aufsätze
author-letter	Xiaoli Fan
doi_str_mv	10.3389/fpls.2019.00187
author2-role	verfasserin
title_sort	dissection of pleiotropic qtl regions controlling wheat spike characteristics under different nitrogen treatments using traditional and conditional qtl mapping
callnumber	SB1-1110
title_auth	Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping
abstract	Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions.
abstractGer	Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions.
abstract_unstemmed	Optimal spike characteristics are critical in improving the sink capacity and yield potential of wheat even in harsh environments. However, the genetic basis of their response to nitrogen deficiency is still unclear. In this study, quantitative trait loci (QTL) for six spike-related traits, including heading date (HD), spike length (SL), spikelet number (SN), spike compactness (SC), fertile spikelet number (FSN), and sterile spikelet number (SSN), were detected under two different nitrogen (N) supplies, based on a high-density genetic linkage map constructed by PCR markers, DArTs, and Affymetrix Wheat 660 K SNP chips. A total of 157 traditional QTLand 54 conditional loci were detected by inclusive composite interval mapping, among which three completely low N-stress induced QTL for SN and FSN (qSn-1A.1, qFsn-1B, and qFsn-7D) were found to maintain the desired spikelet fertility and kernel numbers even under N deficiency through pyramiding elite alleles. Twenty-eight stable QTL showing significant differencet in QTL detection model were found and seven genomic regions (R2D, R4A, R4B, R5A, R7A, R7B, and R7D) clustered by these stable QTL were highlighted. Among them, the effect of R4B on controlling spike characteristics might be contributed from Rht-B1. R7A harboring three major stable QTL (qSn-7A.2, qSc-7A, and qFsn-7A.3) might be one of the valuable candidate regions for further genetic improvement. In addition, the R7A was found to show syntenic with R7B, indicating the possibly exsting homoeologous candidate genes in both regions. The SNP markers involved with the above highlighted regions will eventually facilitate positional cloning or marker-assisted selection for the optimal spike characteristics under various N input conditions.
collection_details	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_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_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 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
title_short	Dissection of Pleiotropic QTL Regions Controlling Wheat Spike Characteristics Under Different Nitrogen Treatments Using Traditional and Conditional QTL Mapping
url	https://doi.org/10.3389/fpls.2019.00187 https://doaj.org/article/9325bfe999b24a509e06a396a279763c https://www.frontiersin.org/article/10.3389/fpls.2019.00187/full https://doaj.org/toc/1664-462X
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author2	Fa Cui Jun Ji Wei Zhang Xueqiang Zhao JiaJia Liu Deyuan Meng Yiping Tong Tao Wang Junming Li
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up_date	2024-07-03T19:57:17.747Z
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