Identification of Ear Morphology Genes in Maize (Zea mays L.) Using Selective Sweeps and Association Mapping

Li, Ting; Qu, Jianzhou; Tian, Xiaokang; Lao, Yonghui; Wang, Ningning; Wang, Yahui; Hao, Yinchuan; Zhang, Xinghua; Xue, Jiquan; Xu, Shutu

doi:10.3389/fgene.2020.00747

Cited by 10 publications

(3 citation statements)

References 52 publications

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“…KA105, a superior female inbred line of two nationally approved commercial hybrids (SD650: No.20200261; SD620: No.20200264), was selected from the Shaan A group cultivated by Northwest A&F University [ 43 ]. The plants were cultivated at approximately 67,500 plants/ha in summer in Yangling, Shaanxi Province, China.…”

Section: Methodsmentioning

confidence: 99%

Transcriptome profiling provides insights into the molecular mechanisms of maize kernel and silk development

Wang

Shi

et al. 2021

BMC Genom Data

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Background Maize kernel filling, which is closely related to the process of double fertilization and is sensitive to a variety of environmental conditions, is an important component of maize yield determination. Silk is an important tissue of maize ears that can discriminate pollen and conduct pollination. Therefore, investigating the molecular mechanisms of kernel development and silk senescence will provide important information for improving the pollination rate to obtain high maize yields. Results In this study, transcript profiles were determined in an elite maize inbred line (KA105) to investigate the molecular mechanisms functioning in self-pollinated and unpollinated maize kernels and silks. A total of 5285 and 3225 differentially expressed transcripts (DETs) were identified between self-pollinated and unpollinated maize in a kernel group and a silk group, respectively. We found that a large number of genes involved in key steps in the biosynthesis of endosperm storage compounds were upregulated after pollination in kernels, and that abnormal development and senescence appeared in unpollinated kernels (KUP). We also identified several genes with functions in the maintenance of silk structure that were highly expressed in silk. Further investigation suggested that the expression of autophagy-related genes and senescence-related genes is prevalent in maize kernels and silks. In addition, pollination significantly altered the expression levels of senescence-related and autophagy-related genes in maize kernels and silks. Notably, we identified some specific genes and transcription factors (TFs) that are highly expressed in single tissues. Conclusions Our results provide novel insights into the potential regulatory mechanisms of self-pollinated and unpollinated maize kernels and silks.

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Section: Methodsmentioning

confidence: 99%

Transcriptome profiling provides insights into the molecular mechanisms of maize kernel and silk development

Wang

Shi

et al. 2021

BMC Genom Data

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“…To further uncover the genetic regulation of ear traits revealed by GWAS research, we collected the known QTNs associated with ear traits from published papers [17,[33][34][35]77,80,87,[92][93][94][95][96][97][98][99][100][101][102][103][104][105][106][107][108][109][110]. Similar to the normalization of QTLs, 829 KRN, 377 CD, 271 EL, 183 ED, 98 CW, 78 EW, 29 KNPR, and 28 KWPE QTNs were successfully mapped to B73 RefGen_v5.0 (Figure 3a, Table S4).…”

Section: The Genetic Basis Of the Ear Traits And Summary Of The Genet...mentioning

confidence: 99%

The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (Zea mays L.)

Dong

Bao

et al. 2023

Cells

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Maize (Zea mays L.) is one of the world’s staple food crops. In order to feed the growing world population, improving maize yield is a top priority for breeding programs. Ear traits are important determinants of maize yield, and are mostly quantitatively inherited. To date, many studies relating to the genetic and molecular dissection of ear traits have been performed; therefore, we explored the genetic loci of the ear traits that were previously discovered in the genome-wide association study (GWAS) and quantitative trait locus (QTL) mapping studies, and refined 153 QTL and 85 quantitative trait nucleotide (QTN) clusters. Next, we shortlisted 19 common intervals (CIs) that can be detected simultaneously by both QTL mapping and GWAS, and 40 CIs that have pleiotropic effects on ear traits. Further, we predicted the best possible candidate genes from 71 QTL and 25 QTN clusters that could be valuable for maize yield improvement.

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“…Morphological characterization will provide information on morphological differences among lines and relationships between the tested lines. These information plays an important role in selecting parents to be used to assemble varieties (Li et al 2020). Crosses between distantly related parents will produce largely segregated offsprings, making it easier to choose the desired variety (Goulet et al 2017;Marone et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Morphological and molecular characterization of maize lines tolerance to drought stress

Amzeri

Badami

SANTOSO³

et al. 2022

Biodiversitas

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Abstract. Amzeri A, Badami K, Santoso SB, Sukma KPW. 2022. Morphological and molecular characterization of maize lines tolerance to drought stress. Biodiversitas 23: 5844-5853. The early step in assembling varieties with early maturity, high productivity, and resistance to drought stress is to carry out morphological and molecular characterization among lines resistant to drought stress. The research aimed to characterize the morphology and molecular characteristics of maize lines resistant to drought stress to develop breeding and cultivation programs. The research used a randomized complete block design with twenty genotypes (maize lines) as treatment and three replicates. A total of 57 morphological characters and seven RAPD primers were used to assess the relationship based on morphological characters and RAPD markers. The results showed that the similarity coefficient based on the morphological characters was 0.69-0.97, while the similarity coefficient based on the RAPD marker was 0.64-0.95. The phenotypic diversity coefficient (PDC) was greater than the Genotypic Diversity Coefficient (GDC) in all observed quantitative characters. The broad sense heritability values of the tested maize lines ranged from 0.83 to 0.99. Production per hectare was significantly positively correlated with eight tested quantitative characters. G1 and G15 were the genotypes that can be used as parents to assemble hybrid maize varieties, while G10, G11, G16, and G17 could be used as maize for cultivation programs.

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Identification of Ear Morphology Genes in Maize (Zea mays L.) Using Selective Sweeps and Association Mapping

Cited by 10 publications

References 52 publications

Transcriptome profiling provides insights into the molecular mechanisms of maize kernel and silk development

Transcriptome profiling provides insights into the molecular mechanisms of maize kernel and silk development

The Genetic Structures and Molecular Mechanisms Underlying Ear Traits in Maize (Zea mays L.)

Morphological and molecular characterization of maize lines tolerance to drought stress

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