Genetic analysis of maize shank length by QTL mapping in three recombinant inbred line populations

Liu, Meiling; He, Wenshu; Zhang, Ao; Zhang, Lijun; Sun, Daqiu; Gao, Yuan; Ni, Pengzun; Ma, Xinglin; Cui, Zhenhai; Ruan, Yijun

doi:10.1016/j.plantsci.2020.110767

Cited by 7 publications

(13 citation statements)

References 49 publications

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“…To date, only a few studies focused on the genetic architecture of maize ESL. Liu et al detected 10 ESL-related QTL in three maize RIL populations using linkage mapping [ 12 ]. In addition, Sun et al performed a GWAS for maize ESL and uncovered 11 genetic regions controlling ESL in two environments [ 13 ].…”

Section: Discussionmentioning

confidence: 99%

“…A previous study showed that the ESL is a quantitative trait and its narrow heritability was approximately 72.2% in diverse F2 populations [ 10 ]. Using the inbred lines with distinct ESLs, Ji et al constructed F2 populations and revealed that the ESL has high additive and additive-dominance effects [ 11 , 12 ]. Liu et al used three recombinant inbred line (RIL) populations to detect the quantitative trait loci (QTL) for maize ESL.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, 10 QTL were mapped to chromosomes 1, 2, 4, and 9, with the total phenotypic variation explained (PVE) ranging from 13.67 to 30.81% among the three populations. Each of these QTL had the PVE varying from 6.15 to 16.7%, suggesting that maize ESL was controlled by both minor- and major-effect genes [ 12 ]. A recent study dissected the genetic basis of 15 vascular system-related traits in maize ear shank using genome-wide association studies (GWAS), revealing 69 unique QTL and 348 candidate genes for these traits [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

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An Integration of Linkage Mapping and GWAS Reveals the Key Genes for Ear Shank Length in Maize

Liang

Líu

et al. 2022

IJMS

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Ear shank length (ESL) has significant effects on grain yield and kernel dehydration rate in maize. Herein, linkage mapping and genome-wide association study were combined to reveal the genetic architecture of maize ESL. Sixteen quantitative trait loci (QTL) were identified in the segregation population, among which five were repeatedly detected across multiple environments. Meanwhile, 23 single nucleotide polymorphisms were associated with the ESL in the association panel, of which four were located in the QTL identified by linkage mapping and were designated as the population-common loci. A total of 42 genes residing in the linkage disequilibrium regions of these common variants and 12 of them were responsive to ear shank elongation. Of the 12 genes, five encode leucine-rich repeat receptor-like protein kinases, proline-rich proteins, and cyclin11, respectively, which were previously shown to regulate cell division, expansion, and elongation. Gene-based association analyses revealed that the variant located in Cyclin11 promoter affected the ESL among different lines. Cyclin11 showed the highest expression in the ear shank 15 days after silking among diverse tissues of maize, suggesting its role in modulating ESL. Our study contributes to the understanding of the genetic mechanism underlying maize ESL and genetic modification of maize dehydration rate and kernel yield.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Integration of Linkage Mapping and GWAS Reveals the Key Genes for Ear Shank Length in Maize

Liang

Líu

et al. 2022

IJMS

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“…Wang analyzed the relationship between shank length and corn yield and found that there was a certain correlation between them. Studies have shown that the number, size and distribution of shank vascular bundles directly affected the transport efficiency of assimilates from the source to kernels, eventually limiting crop yield [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…For maize, since the publication of the B73 reference genome [ 18 ], many genes for important agronomic traits have been identified by GWAS, such as plant height [ 19 , 20 , 21 , 22 ], flowering time [ 23 ], ear height [ 21 , 22 ] and grain size [ 24 , 25 ]. Meanwhile, phenotype-genotype association analysis is also an important tool for revealing the phenotypic diversity and genetic structure of maize vascular bundles [ 9 , 10 , 11 , 26 ]. Based on advanced microscopic imaging technology and intelligent phenotyping analysis algorithms, the combination of abundant phenotypic and genotypic data will provide a breakthrough for understanding the genetic basis of vascular bundle formation and development in the shank.…”

Section: Introductionmentioning

confidence: 99%

High-Throughput Phenotyping Accelerates the Dissection of the Phenotypic Variation and Genetic Architecture of Shank Vascular Bundles in Maize (Zea mays L.)

Guo

Zhou

Wang

et al. 2022

Plants

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The vascular bundle of the shank is an important ‘flow’ organ for transforming maize biological yield to grain yield, and its microscopic phenotypic characteristics and genetic analysis are of great significance for promoting the breeding of new varieties with high yield and good quality. In this study, shank CT images were obtained using the standard process for stem micro-CT data acquisition at resolutions up to 13.5 μm. Moreover, five categories and 36 phenotypic traits of the shank including related to the cross-section, epidermis zone, periphery zone, inner zone and vascular bundle were analyzed through an automatic CT image process pipeline based on the functional zones. Next, we analyzed the phenotypic variations in vascular bundles at the base of the shank among a group of 202 inbred lines based on comprehensive phenotypic information for two environments. It was found that the number of vascular bundles in the inner zone (IZ_VB_N) and the area of the inner zone (IZ_A) varied the most among the different subgroups. Combined with genome-wide association studies (GWAS), 806 significant single nucleotide polymorphisms (SNPs) were identified, and 1245 unique candidate genes for 30 key traits were detected, including the total area of vascular bundles (VB_A), the total number of vascular bundles (VB_N), the density of the vascular bundles (VB_D), etc. These candidate genes encode proteins involved in lignin, cellulose synthesis, transcription factors, material transportation and plant development. The results presented here will improve the understanding of the phenotypic traits of maize shank and provide an important phenotypic basis for high-throughput identification of vascular bundle functional genes of maize shank and promoting the breeding of new varieties with high yield and good quality.

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Integration of GWAS models and GS reveals the genetic architecture of ear shank in maize

Jiang,

Ren,

Zeng

et al. 2025

Gene

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Genetic analysis of maize shank length by QTL mapping in three recombinant inbred line populations

Cited by 7 publications

References 49 publications

An Integration of Linkage Mapping and GWAS Reveals the Key Genes for Ear Shank Length in Maize

An Integration of Linkage Mapping and GWAS Reveals the Key Genes for Ear Shank Length in Maize

High-Throughput Phenotyping Accelerates the Dissection of the Phenotypic Variation and Genetic Architecture of Shank Vascular Bundles in Maize (Zea mays L.)

Integration of GWAS models and GS reveals the genetic architecture of ear shank in maize

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