comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.)

MAIN CONCLUSION : The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to gra...

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Published inPlanta Vol. 243; no. 2; pp. 459 - 471
Main Authors Wang, Yijun, Xu, Jing, Deng, Dexiang, Ding, Haidong, Bian, Yunlong, Yin, Zhitong, Wu, Yarong, Zhou, Bo, Zhao, Ye
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2016
Springer Science + Business Media
Springer Nature B.V
Subjects
Agriculture
agronomic traits
alleles
bioinformatics
Biomedical and Life Sciences
Chromosomes, Plant
Computational Biology
Corn
corn ears
Crop yield
crops
Disease resistance
Disease Resistance - genetics
Ecology
flowering
Forestry
Genes, Plant
genomics
introgression
leaf angle
Leaves
Life Sciences
meta-analysis
ORIGINAL ARTICLE
Plant breeding
Plant morphology
Plant Sciences
Plants
Quantitative Trait Loci
rice
stress tolerance
translation (genetics)
viruses
Zea mays
Zea mays - genetics
Zea mays - growth & development
Zea mays - virology
Maize breeding
Yield performance
Agronomic trait
Candidate gene
Quantitative trait locus
Bioinformatics
Meta-analysis
Online AccessGet full text

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Abstract MAIN CONCLUSION : The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.
AbstractList The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.
The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.MAIN CONCLUSIONThe meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.
A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL1 6 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.
Main conclusion The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8/OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.
Main conclusion The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for functional markers development and elite alleles introgression in maize breeding program. A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories. The integration of fruitful QTL becomes a major issue in current plant genomics. To this end, we first collected QTL for six agriculturally important traits in maize, including yield, plant height, ear height, leaf angle, stay-green, and maize rough dwarf disease resistance. The meta-analysis method was then employed to retrieve 113 meta-QTL. Additionally, we also isolated candidate genes for target traits by the bioinformatic technique. Several candidates, including some well-characterized genes, GA3ox2 for plant height, lg1 and lg4 for leaf angle, zfl1 and zfl2 for flowering time, were co-localized with established meta-QTL intervals. Intriguingly, in a relatively narrow meta-QTL region, the maize ortholog of rice yield-related gene GW8 / OsSPL16 was believed to be a candidate for yield. Leveraging results presented in this study will provide further insights into the genetic architecture of maize agronomic traits. Moreover, the meta-QTL and candidate genes reported here could be harnessed for the enhancement of stress tolerance and yield performance in maize and translation to other crops.
Author Ding, Haidong
Bian, Yunlong
Yin, Zhitong
Deng, Dexiang
Xu, Jing
Wu, Yarong
Zhou, Bo
Zhao, Ye
Wang, Yijun
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  fullname: Yin, Zhitong
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  fullname: Wu, Yarong
– sequence: 8
  fullname: Zhou, Bo
– sequence: 9
  fullname: Zhao, Ye
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26474992$$D View this record in MEDLINE/PubMed
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ISSN 0032-0935
1432-2048
IngestDate Mon Jul 21 11:30:16 EDT 2025
Thu Jul 10 23:22:31 EDT 2025
Fri Jul 11 16:50:31 EDT 2025
Fri Jul 25 09:43:45 EDT 2025
Mon Jul 21 05:55:12 EDT 2025
Thu Apr 24 23:12:41 EDT 2025
Tue Jul 01 02:50:25 EDT 2025
Fri Feb 21 02:33:42 EST 2025
Thu Jun 19 21:34:53 EDT 2025
Wed Dec 27 19:15:57 EST 2023
IsPeerReviewed true
IsScholarly true
Issue 2
Keywords Maize breeding
Yield performance
Agronomic trait
Candidate gene
Quantitative trait locus
Bioinformatics
Meta-analysis
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c620t-ba59d9fb2b0fc71e980ca85a9a73749ba63a8c194fc648c0fdf07ce95f40898a3
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  day: 01
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PublicationSubtitle An International Journal of Plant Biology
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Snippet MAIN CONCLUSION : The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new...
A large number of QTLs attributed to grain productivity and other agriculturally important traits have been identified and deposited in public repositories....
Main conclusion The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new...
The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new avenues for...
Main conclusion The meta-QTL and candidate genes will facilitate the elucidation of molecular bases underlying agriculturally important traits and open new...
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StartPage 459
SubjectTerms Agriculture
agronomic traits
alleles
bioinformatics
Biomedical and Life Sciences
Chromosomes, Plant
Computational Biology
Corn
corn ears
Crop yield
crops
Disease resistance
Disease Resistance - genetics
Ecology
flowering
Forestry
Genes, Plant
genomics
introgression
leaf angle
Leaves
Life Sciences
meta-analysis
ORIGINAL ARTICLE
Plant breeding
Plant morphology
Plant Sciences
Plants
Quantitative Trait Loci
rice
stress tolerance
translation (genetics)
viruses
Zea mays
Zea mays - genetics
Zea mays - growth & development
Zea mays - virology
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Title comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.)
URI https://www.jstor.org/stable/48726326
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