Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.)
Key message An InDel marker closely linked with a major and stable quantitative trait locus (QTL) on chromosome 4BS, QSnpa.cau-4B , controlling spike number per unit area will benefit wheat yield improvement. Spike number per unit area (SNPA) is an essential yield-related trait, and analyzing its ge...
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creator | Li, Jinghui Wen, Shaozhe Fan, Chaofeng Zhang, Minghu Tian, Shuai Kang, Wenjing Zhao, Wenxin Bi, Chan Wang, Qiuyan Lu, Shuang Guo, Weilong Ni, Zhongfu Xie, Chaojie Sun, Qixin You, Mingshan |
description | Key message
An InDel marker closely linked with a major and stable quantitative trait locus (QTL) on chromosome 4BS,
QSnpa.cau-4B
, controlling spike number per unit area will benefit wheat yield improvement.
Spike number per unit area (SNPA) is an essential yield-related trait, and analyzing its genetic basis is important for cultivar improvement in wheat (
Triticum aestivum
L.). In this study, we used the
F
2
population derived from a cross between two wheat accessions displaying significant differences in SNPA to perform quantitative trait locus (QTL) analysis. Through bulked segregant analysis, a major and stable QTL that explained 18.11–82.11% of the phenotypic variation was identified on chromosome 4BS. The QTL interval was validated using
F
4:5
and
F
6:7
families and narrowed it to a 24.91–38.36 Mb region of chromosome 4BS according to the ‘Chinese Spring’ reference genome sequence. In this region, variations in 16 genes caused amino acid changes and three genes were present in only one parent. Among these, we annotated a gene orthologous to
TB1
in maize (
Zea mays
), namely
TraesCS4B01G042700
, which carried a 44-bp deletion in its promoter in the higher-SNPA parent. An InDel marker based on the insertion/deletion polymorphism was designed and used to diagnose the allelic distribution within a natural population. The frequency of the 44-bp deletion allele associated with higher SNPA was relatively low (13.24%), implying that this favorable allele has not been widely utilized and could be valuable for wheat yield improvement. In summary, we identified a major and stable QTL for SNPA and developed a diagnostic marker for the more-spiked trait, which will be beneficial for molecular-assisted breeding in wheat. |
doi_str_mv | 10.1007/s00122-020-03595-z |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2396303410</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A627546938</galeid><sourcerecordid>A627546938</sourcerecordid><originalsourceid>FETCH-LOGICAL-c476t-2e6f5c6efb6bc7346c37d6854a603f0084b16318fd6cfbfc617ac91a86d89d313</originalsourceid><addsrcrecordid>eNp9ks9uEzEQxlcIREPhBTggS1zawwb_W-_usY0oVIqEBOVseb3jrEO8Tm0v0DwLD4tDClUQQpZla_z7xjOjryheEjwnGNdvIsaE0hJTXGJWtVW5e1TMCGe0pJTTx8UMY47Lqq7oSfEsxjXGmFaYPS1OGGW8ZqSdFT8WgwpKJwh2p5L1I_IGKeTU2gd0O6kx2ZTjXwGloGxCG6-niDKWBkBx8CEhFdxepIfgnY_eAeKXyGR53NovgMbJdRDQNu9ptHscFLIj0t65nOfbACqhs5tgk9WTQwpi_i5flvPz58UTozYRXtyfp8Xnq7c3i_fl8sO768XFstS8FqmkIEylBZhOdLpmXGhW96KpuBKYGYwb3hHBSGN6oU1ntCC10i1RjeibtmeEnRZnh7zb4G-nXIB0NmrYbNQIfoqSslYwzDjBGX39F7r2UxhzdZJyIvLAW1o9UCu1AWlH4_P09D6pvBC0rrhoWZOp-T-ovHpwVvsRjM3xI8H5kSAzCb6nlZpilNefPh6z9MDq4GMMYOQ2WKfCnSRY7u0jD_aR2T7yl33kLote3Xc3dQ76P5LffskAOwAxP40rCA_t_yftT2ehz1E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2416040925</pqid></control><display><type>article</type><title>Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.)</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Li, Jinghui ; Wen, Shaozhe ; Fan, Chaofeng ; Zhang, Minghu ; Tian, Shuai ; Kang, Wenjing ; Zhao, Wenxin ; Bi, Chan ; Wang, Qiuyan ; Lu, Shuang ; Guo, Weilong ; Ni, Zhongfu ; Xie, Chaojie ; Sun, Qixin ; You, Mingshan</creator><creatorcontrib>Li, Jinghui ; Wen, Shaozhe ; Fan, Chaofeng ; Zhang, Minghu ; Tian, Shuai ; Kang, Wenjing ; Zhao, Wenxin ; Bi, Chan ; Wang, Qiuyan ; Lu, Shuang ; Guo, Weilong ; Ni, Zhongfu ; Xie, Chaojie ; Sun, Qixin ; You, Mingshan</creatorcontrib><description>Key message
An InDel marker closely linked with a major and stable quantitative trait locus (QTL) on chromosome 4BS,
QSnpa.cau-4B
, controlling spike number per unit area will benefit wheat yield improvement.
Spike number per unit area (SNPA) is an essential yield-related trait, and analyzing its genetic basis is important for cultivar improvement in wheat (
Triticum aestivum
L.). In this study, we used the
F
2
population derived from a cross between two wheat accessions displaying significant differences in SNPA to perform quantitative trait locus (QTL) analysis. Through bulked segregant analysis, a major and stable QTL that explained 18.11–82.11% of the phenotypic variation was identified on chromosome 4BS. The QTL interval was validated using
F
4:5
and
F
6:7
families and narrowed it to a 24.91–38.36 Mb region of chromosome 4BS according to the ‘Chinese Spring’ reference genome sequence. In this region, variations in 16 genes caused amino acid changes and three genes were present in only one parent. Among these, we annotated a gene orthologous to
TB1
in maize (
Zea mays
), namely
TraesCS4B01G042700
, which carried a 44-bp deletion in its promoter in the higher-SNPA parent. An InDel marker based on the insertion/deletion polymorphism was designed and used to diagnose the allelic distribution within a natural population. The frequency of the 44-bp deletion allele associated with higher SNPA was relatively low (13.24%), implying that this favorable allele has not been widely utilized and could be valuable for wheat yield improvement. In summary, we identified a major and stable QTL for SNPA and developed a diagnostic marker for the more-spiked trait, which will be beneficial for molecular-assisted breeding in wheat.</description><identifier>ISSN: 0040-5752</identifier><identifier>EISSN: 1432-2242</identifier><identifier>DOI: 10.1007/s00122-020-03595-z</identifier><identifier>PMID: 32347319</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agriculture ; Alleles ; Amino acid sequence ; Analysis ; Biochemistry ; Biomedical and Life Sciences ; Biotechnology ; Chromosome Mapping ; Chromosomes ; Chromosomes, Plant ; Crop yields ; Crosses, Genetic ; Cultivars ; Gene deletion ; Genes ; Genes, Plant ; Genetic aspects ; Genetic Linkage ; Genetic Markers ; Genetic research ; Genomes ; Genomics ; Insertion ; Life Sciences ; Nucleotide sequence ; Original Article ; Phenotype ; Phenotypic variations ; Plant Biochemistry ; Plant Breeding ; Plant Breeding/Biotechnology ; Plant Genetics and Genomics ; Population genetics ; Quantitative genetics ; Quantitative Trait Loci ; Triticum - genetics ; Triticum aestivum ; Wheat</subject><ispartof>Theoretical and applied genetics, 2020-07, Vol.133 (7), p.2259-2269</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020</rights><rights>COPYRIGHT 2020 Springer</rights><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c476t-2e6f5c6efb6bc7346c37d6854a603f0084b16318fd6cfbfc617ac91a86d89d313</citedby><cites>FETCH-LOGICAL-c476t-2e6f5c6efb6bc7346c37d6854a603f0084b16318fd6cfbfc617ac91a86d89d313</cites><orcidid>0000-0003-4103-0962</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00122-020-03595-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00122-020-03595-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32347319$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Jinghui</creatorcontrib><creatorcontrib>Wen, Shaozhe</creatorcontrib><creatorcontrib>Fan, Chaofeng</creatorcontrib><creatorcontrib>Zhang, Minghu</creatorcontrib><creatorcontrib>Tian, Shuai</creatorcontrib><creatorcontrib>Kang, Wenjing</creatorcontrib><creatorcontrib>Zhao, Wenxin</creatorcontrib><creatorcontrib>Bi, Chan</creatorcontrib><creatorcontrib>Wang, Qiuyan</creatorcontrib><creatorcontrib>Lu, Shuang</creatorcontrib><creatorcontrib>Guo, Weilong</creatorcontrib><creatorcontrib>Ni, Zhongfu</creatorcontrib><creatorcontrib>Xie, Chaojie</creatorcontrib><creatorcontrib>Sun, Qixin</creatorcontrib><creatorcontrib>You, Mingshan</creatorcontrib><title>Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.)</title><title>Theoretical and applied genetics</title><addtitle>Theor Appl Genet</addtitle><addtitle>Theor Appl Genet</addtitle><description>Key message
An InDel marker closely linked with a major and stable quantitative trait locus (QTL) on chromosome 4BS,
QSnpa.cau-4B
, controlling spike number per unit area will benefit wheat yield improvement.
Spike number per unit area (SNPA) is an essential yield-related trait, and analyzing its genetic basis is important for cultivar improvement in wheat (
Triticum aestivum
L.). In this study, we used the
F
2
population derived from a cross between two wheat accessions displaying significant differences in SNPA to perform quantitative trait locus (QTL) analysis. Through bulked segregant analysis, a major and stable QTL that explained 18.11–82.11% of the phenotypic variation was identified on chromosome 4BS. The QTL interval was validated using
F
4:5
and
F
6:7
families and narrowed it to a 24.91–38.36 Mb region of chromosome 4BS according to the ‘Chinese Spring’ reference genome sequence. In this region, variations in 16 genes caused amino acid changes and three genes were present in only one parent. Among these, we annotated a gene orthologous to
TB1
in maize (
Zea mays
), namely
TraesCS4B01G042700
, which carried a 44-bp deletion in its promoter in the higher-SNPA parent. An InDel marker based on the insertion/deletion polymorphism was designed and used to diagnose the allelic distribution within a natural population. The frequency of the 44-bp deletion allele associated with higher SNPA was relatively low (13.24%), implying that this favorable allele has not been widely utilized and could be valuable for wheat yield improvement. In summary, we identified a major and stable QTL for SNPA and developed a diagnostic marker for the more-spiked trait, which will be beneficial for molecular-assisted breeding in wheat.</description><subject>Agriculture</subject><subject>Alleles</subject><subject>Amino acid sequence</subject><subject>Analysis</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>Biotechnology</subject><subject>Chromosome Mapping</subject><subject>Chromosomes</subject><subject>Chromosomes, Plant</subject><subject>Crop yields</subject><subject>Crosses, Genetic</subject><subject>Cultivars</subject><subject>Gene deletion</subject><subject>Genes</subject><subject>Genes, Plant</subject><subject>Genetic aspects</subject><subject>Genetic Linkage</subject><subject>Genetic Markers</subject><subject>Genetic research</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Insertion</subject><subject>Life Sciences</subject><subject>Nucleotide sequence</subject><subject>Original Article</subject><subject>Phenotype</subject><subject>Phenotypic variations</subject><subject>Plant Biochemistry</subject><subject>Plant Breeding</subject><subject>Plant Breeding/Biotechnology</subject><subject>Plant Genetics and Genomics</subject><subject>Population genetics</subject><subject>Quantitative genetics</subject><subject>Quantitative Trait Loci</subject><subject>Triticum - genetics</subject><subject>Triticum aestivum</subject><subject>Wheat</subject><issn>0040-5752</issn><issn>1432-2242</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9ks9uEzEQxlcIREPhBTggS1zawwb_W-_usY0oVIqEBOVseb3jrEO8Tm0v0DwLD4tDClUQQpZla_z7xjOjryheEjwnGNdvIsaE0hJTXGJWtVW5e1TMCGe0pJTTx8UMY47Lqq7oSfEsxjXGmFaYPS1OGGW8ZqSdFT8WgwpKJwh2p5L1I_IGKeTU2gd0O6kx2ZTjXwGloGxCG6-niDKWBkBx8CEhFdxepIfgnY_eAeKXyGR53NovgMbJdRDQNu9ptHscFLIj0t65nOfbACqhs5tgk9WTQwpi_i5flvPz58UTozYRXtyfp8Xnq7c3i_fl8sO768XFstS8FqmkIEylBZhOdLpmXGhW96KpuBKYGYwb3hHBSGN6oU1ntCC10i1RjeibtmeEnRZnh7zb4G-nXIB0NmrYbNQIfoqSslYwzDjBGX39F7r2UxhzdZJyIvLAW1o9UCu1AWlH4_P09D6pvBC0rrhoWZOp-T-ovHpwVvsRjM3xI8H5kSAzCb6nlZpilNefPh6z9MDq4GMMYOQ2WKfCnSRY7u0jD_aR2T7yl33kLote3Xc3dQ76P5LffskAOwAxP40rCA_t_yftT2ehz1E</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Li, Jinghui</creator><creator>Wen, Shaozhe</creator><creator>Fan, Chaofeng</creator><creator>Zhang, Minghu</creator><creator>Tian, Shuai</creator><creator>Kang, Wenjing</creator><creator>Zhao, Wenxin</creator><creator>Bi, Chan</creator><creator>Wang, Qiuyan</creator><creator>Lu, Shuang</creator><creator>Guo, Weilong</creator><creator>Ni, Zhongfu</creator><creator>Xie, Chaojie</creator><creator>Sun, Qixin</creator><creator>You, Mingshan</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>3V.</scope><scope>7SS</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4103-0962</orcidid></search><sort><creationdate>20200701</creationdate><title>Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.)</title><author>Li, Jinghui ; Wen, Shaozhe ; Fan, Chaofeng ; Zhang, Minghu ; Tian, Shuai ; Kang, Wenjing ; Zhao, Wenxin ; Bi, Chan ; Wang, Qiuyan ; Lu, Shuang ; Guo, Weilong ; Ni, Zhongfu ; Xie, Chaojie ; Sun, Qixin ; You, Mingshan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c476t-2e6f5c6efb6bc7346c37d6854a603f0084b16318fd6cfbfc617ac91a86d89d313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agriculture</topic><topic>Alleles</topic><topic>Amino acid sequence</topic><topic>Analysis</topic><topic>Biochemistry</topic><topic>Biomedical and Life Sciences</topic><topic>Biotechnology</topic><topic>Chromosome Mapping</topic><topic>Chromosomes</topic><topic>Chromosomes, Plant</topic><topic>Crop yields</topic><topic>Crosses, Genetic</topic><topic>Cultivars</topic><topic>Gene deletion</topic><topic>Genes</topic><topic>Genes, Plant</topic><topic>Genetic aspects</topic><topic>Genetic Linkage</topic><topic>Genetic Markers</topic><topic>Genetic research</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Insertion</topic><topic>Life Sciences</topic><topic>Nucleotide sequence</topic><topic>Original Article</topic><topic>Phenotype</topic><topic>Phenotypic variations</topic><topic>Plant Biochemistry</topic><topic>Plant Breeding</topic><topic>Plant Breeding/Biotechnology</topic><topic>Plant Genetics and Genomics</topic><topic>Population genetics</topic><topic>Quantitative genetics</topic><topic>Quantitative Trait Loci</topic><topic>Triticum - genetics</topic><topic>Triticum aestivum</topic><topic>Wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jinghui</creatorcontrib><creatorcontrib>Wen, Shaozhe</creatorcontrib><creatorcontrib>Fan, Chaofeng</creatorcontrib><creatorcontrib>Zhang, Minghu</creatorcontrib><creatorcontrib>Tian, Shuai</creatorcontrib><creatorcontrib>Kang, Wenjing</creatorcontrib><creatorcontrib>Zhao, Wenxin</creatorcontrib><creatorcontrib>Bi, Chan</creatorcontrib><creatorcontrib>Wang, Qiuyan</creatorcontrib><creatorcontrib>Lu, Shuang</creatorcontrib><creatorcontrib>Guo, Weilong</creatorcontrib><creatorcontrib>Ni, Zhongfu</creatorcontrib><creatorcontrib>Xie, Chaojie</creatorcontrib><creatorcontrib>Sun, Qixin</creatorcontrib><creatorcontrib>You, Mingshan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Theoretical and applied genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Jinghui</au><au>Wen, Shaozhe</au><au>Fan, Chaofeng</au><au>Zhang, Minghu</au><au>Tian, Shuai</au><au>Kang, Wenjing</au><au>Zhao, Wenxin</au><au>Bi, Chan</au><au>Wang, Qiuyan</au><au>Lu, Shuang</au><au>Guo, Weilong</au><au>Ni, Zhongfu</au><au>Xie, Chaojie</au><au>Sun, Qixin</au><au>You, Mingshan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.)</atitle><jtitle>Theoretical and applied genetics</jtitle><stitle>Theor Appl Genet</stitle><addtitle>Theor Appl Genet</addtitle><date>2020-07-01</date><risdate>2020</risdate><volume>133</volume><issue>7</issue><spage>2259</spage><epage>2269</epage><pages>2259-2269</pages><issn>0040-5752</issn><eissn>1432-2242</eissn><abstract>Key message
An InDel marker closely linked with a major and stable quantitative trait locus (QTL) on chromosome 4BS,
QSnpa.cau-4B
, controlling spike number per unit area will benefit wheat yield improvement.
Spike number per unit area (SNPA) is an essential yield-related trait, and analyzing its genetic basis is important for cultivar improvement in wheat (
Triticum aestivum
L.). In this study, we used the
F
2
population derived from a cross between two wheat accessions displaying significant differences in SNPA to perform quantitative trait locus (QTL) analysis. Through bulked segregant analysis, a major and stable QTL that explained 18.11–82.11% of the phenotypic variation was identified on chromosome 4BS. The QTL interval was validated using
F
4:5
and
F
6:7
families and narrowed it to a 24.91–38.36 Mb region of chromosome 4BS according to the ‘Chinese Spring’ reference genome sequence. In this region, variations in 16 genes caused amino acid changes and three genes were present in only one parent. Among these, we annotated a gene orthologous to
TB1
in maize (
Zea mays
), namely
TraesCS4B01G042700
, which carried a 44-bp deletion in its promoter in the higher-SNPA parent. An InDel marker based on the insertion/deletion polymorphism was designed and used to diagnose the allelic distribution within a natural population. The frequency of the 44-bp deletion allele associated with higher SNPA was relatively low (13.24%), implying that this favorable allele has not been widely utilized and could be valuable for wheat yield improvement. In summary, we identified a major and stable QTL for SNPA and developed a diagnostic marker for the more-spiked trait, which will be beneficial for molecular-assisted breeding in wheat.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32347319</pmid><doi>10.1007/s00122-020-03595-z</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4103-0962</orcidid></addata></record> |
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subjects | Agriculture Alleles Amino acid sequence Analysis Biochemistry Biomedical and Life Sciences Biotechnology Chromosome Mapping Chromosomes Chromosomes, Plant Crop yields Crosses, Genetic Cultivars Gene deletion Genes Genes, Plant Genetic aspects Genetic Linkage Genetic Markers Genetic research Genomes Genomics Insertion Life Sciences Nucleotide sequence Original Article Phenotype Phenotypic variations Plant Biochemistry Plant Breeding Plant Breeding/Biotechnology Plant Genetics and Genomics Population genetics Quantitative genetics Quantitative Trait Loci Triticum - genetics Triticum aestivum Wheat |
title | Characterization of a major quantitative trait locus on the short arm of chromosome 4B for spike number per unit area in common wheat (Triticum aestivum L.) |
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