Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population

Zhang, Xiaolei; Ming, Lu; Xia, Aiai; Xu, Tao; Cui, Zhenhai; Zhang, Ruiying; Liu, Wenguo; He, Yan

doi:10.1186/s12864-021-07723-x

Cited by 6 publications

(3 citation statements)

References 48 publications

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“…All statistical analyses were performed by using R Version 4.0.1 ( www.R-project.org ) as previously described ( Zhang et al., 2021 ; Zhang et al., 2022 ). The R ‘AOV’ function was used to estimate the variances of TOC.…”

Section: Methodsmentioning

confidence: 99%

Genetic dissection of QTLs for oil content in four maize DH populations

et al. 2023

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Oil is one of the main components in maize kernels. Increasing the total oil content (TOC) is favorable to optimize feeding requirement by improving maize quality. To better understand the genetic basis of TOC, quantitative trait loci (QTL) in four double haploid (DH) populations were explored. TOC exhibited continuously and approximately normal distribution in the four populations. The moderate to high broad-sense heritability (67.00-86.60%) indicated that the majority of TOC variations are controlled by genetic factors. A total of 16 QTLs were identified across all chromosomes in a range of 3.49-30.84% in term of phenotypic variation explained. Among them, six QTLs were identified as the major QTLs that explained phenotypic variation larger than 10%. Especially, qOC-1-3 and qOC-2-3 on chromosome 9 were recognized as the largest effect QTLs with 30.84% and 21.74% of phenotypic variance, respectively. Seventeen well-known genes involved in fatty acid metabolic pathway located within QTL intervals. These QTLs will enhance our understanding of the genetic basis of TOC in maize and offer prospective routes to clone candidate genes regulating TOC for breeding program to cultivate maize varieties with the better grain quality.

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Section: Methodsmentioning

confidence: 99%

Genetic dissection of QTLs for oil content in four maize DH populations

et al. 2023

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“…R Version 4.0.1 ( www.R-project.org ) was used to perform all statistical analyses as previously described (Zhang et al, 2021 ). The variances of SC were estimated by using the R ‘AOV' function.…”

Section: Methodsmentioning

confidence: 99%

Genetic dissection of QTLs for starch content in four maize DH populations

Zhang¹,

Wang

Zhang³

et al. 2022

Front. Plant Sci.

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Starch is the principal carbohydrate source in maize kernels. Understanding the genetic basis of starch content (SC) benefits greatly in improving maize yield and optimizing end-use quality. Here, four double haploid (DH) populations were generated and were used to identify quantitative trait loci (QTLs) associated with SC. The phenotype of SC exhibited continuous and approximate normal distribution in each population. A total of 13 QTLs for SC in maize kernels was detected in a range of 3.65–16.18% of phenotypic variation explained (PVE). Among those, only some partly overlapped with QTLs previously known to be related to SC. Meanwhile, 12 genes involved in starch synthesis and metabolism located within QTLs were identified in this study. These QTLs will lay the foundation to explore candidate genes regulating SC in maize kernel and facilitate the application of molecular marker-assisted selection for a breeding program to cultivate maize varieties with a deal of grain quality.

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“…The recessive mutation in milkweed pod1, encoding a KANADI protein, results in abnormal abaxial/adaxial patterning of both maize leaves and husk leaves (Candela et al, 2008). Although several quantitative trait loci underpinning multifaceted maize husk leaf traits have been identified by integrating linkage mapping analysis with genome-wide association studies (Cui et al, 2016(Cui et al, , 2018Jiang et al, 2020;Zhang et al, 2021), none of the genes underlying these loci have been identified.…”

Section: Introductionmentioning

confidence: 99%

The RHW1‐ZCN4 regulatory pathway confers natural variation of husk leaf width in maize

et al. 2023

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Summary Maize husk leaf – the outer leafy layers covering the ear – modulates kernel yield and quality. Despite its importance, however, the genetic controls underlying husk leaf development remain elusive. Our previous genome‐wide association study identified a single nucleotide polymorphism located in the gene RHW1 (Regulator of Husk leaf Width) that is significantly associated with husk leaf‐width diversity in maize. Here, we further demonstrate that a polymorphic 18‐bp InDel (insertion/deletion) variant in the 3′ untranslated region of RHW1 alters its protein abundance and accounts for husk leaf width variation. RHW1 encodes a putative MYB‐like transcriptional repressor. Disruption of RHW1 altered cell proliferation and resulted in a narrower husk leaf, whereas RHW1 overexpression yielded a wider husk leaf. RHW1 positively regulated the expression of ZCN4, a well‐known TFL1‐like protein involved in maize ear development. Dysfunction of ZCN4 reduced husk leaf width even in the context of RHW1 overexpression. The InDel variant in RHW1 is subject to selection and is associated with maize husk leaf adaption from tropical to temperate regions. Overall, our results identify that RHW1‐ZCN4 regulates a pathway conferring husk leaf width variation at a very early stage of husk leaf development in maize.

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Genetic analysis of three maize husk traits by QTL mapping in a maize-teosinte population

Cited by 6 publications

References 48 publications

Genetic dissection of QTLs for oil content in four maize DH populations

Genetic dissection of QTLs for oil content in four maize DH populations

Genetic dissection of QTLs for starch content in four maize DH populations

The RHW1‐ZCN4 regulatory pathway confers natural variation of husk leaf width in maize

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