Dissection of the genetic architecture underlying the plant density response by mapping plant height-related traits in maize (Zea mays L.)

Ku, Lixia; Zhang, Liangkun; Tian, Zhongyuan; Guo, Shulei; Su, Huihui; Ren, Zhenzhen; Wang, Zhiyong; Li, Guohui; Wang, Xiaobo; Zhu, Yuguang; Zhou, Jinlong; Chen, Yanhui

doi:10.1007/s00438-014-0987-1

Cited by 28 publications

(13 citation statements)

References 41 publications

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“…A split–split–plot design was used in the field experiments with two replications. The main plot was ET treatment or control (CK) (with two levels), the sub-plot factor was populations (with two levels), and the sub-sub-plot factor was genotype [ 24 , 30 ]. Each plot consisted of a row of 3m × 0.67m with a density of 67,500 plants/ha.…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, further studies ET-responsive gene of stem elongation related traits (e.g., PH) is important for reveal the molecular mechanisms of ET signal transduction cascade and interacting with other plant hormones. Multiple QTLs for PH and ear height have been detected using different populations in maize [ 24 – 28 ], and genetic analysis of ear to plant heights (EPR, ear height /plant height) in relation to ET also was reported lately [ 29 ]. However, these results do not provide enough data to clarify maize genomic regions of PH-related traits response to ET.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of the genetic basis of plant height-related traits in response to ethylene by QTL mapping in maize (Zea mays L.)

Zhang

Fang

et al. 2018

PLoS ONE

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Ethylene (ET) is critical importance in the growth, development, and stress responses of plants. Plant hormonal stress responses have been extensively studied, however, the role of ET in plant growth, especially plant height (PH) remains unclear. Understanding the genetic control for PH in response to ET will provide insights into the regulation of maize development. To clarify the genetic basis of PH-related traits of maize in response to ET, we mapped QTLs for PH, ear height (EH), and internode length above the uppermost ear (ILAU) in two recombinant inbred line (RIL) populations of Zea mays after ET treatment and in an untreated control (CK) group. Sixty QTLs for the three traits were identified. Twenty-two QTLs were simultaneously detected under both ET treatment and untreated control, and five QTLs were detected at two geographic locations under ET treatment only. Individual QTL can be explained 3.87–17.71% of the phenotypic variance. One QTL (q2PH9-1, q1PH9, q1EH9/q1ILAU9-1, q2ILAU9, and q2EH9) for the measured traits (PH, EH, ILAU) was consistent across both populations. Two QTLs (q2PH2-5, q2ILAU2-2, q1PH2-2, and q1ILAU2-2; q1PH8-1, q1EH8-1, q2PH8-1) were identified for up to two traits in both locations and populations under both ET treatment and untreated control. These consistent and stable regions are important QTLs of potential hot spots for PH, ear height (EH), and internode length above the uppermost ear (ILAU) response to ET in maize; therefore, QTL fine-mapping and putative candidate genes validation should enable the cloning of PH, EH, and ILAU related genes to ET response. These results will be valuable for further fine-mapping and quantitative trait nucleotides (QTNs) determination, and elucidate the underlying molecular mechanisms of ET responses in maize.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Analysis of the genetic basis of plant height-related traits in response to ethylene by QTL mapping in maize (Zea mays L.)

Zhang

Fang

et al. 2018

PLoS ONE

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“…Therefore, higher GW and KR can be achieved by maintaining a suitable EHPH under drought stress. However, a limited number of QTLs for EHPH, GW, and KR have been identified under different levels of water availability (Chang et al 2017, Dong et al 2015, Ku et al 2015, and the genetic mechanisms underlying these three traits remains poorly understood, thus warranting in-depth investigations. Furthermore, a better understanding of the genotype-by-environment (G × E) interaction will provide a foundation for the genetic improvement and optimization of genotypes across different environments (EI-Soda et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Comparative QTL analysis for yield components and morphological traits in maize (<i>Zea mays</i> L.) under water-stressed and well-watered conditions

et al. 2019

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Drought significantly influences maize morphology and yield potential. The elucidation of the genetic mechanisms of yield components and morphological traits, and tightly linked molecular markers under drought stress are thus of great importance in marker assisted selection (MAS) breeding. Here, we identified 32 QTLs for grain weight per ear, kernel ratio, and ear height-to-plant height ratio across two F 2:3 populations under both drought and non-drought conditions by single-environment mapping with composite interval mapping (CIM), of which 21 QTLs were mapped under water-stressed conditions. We identified 29 QTLs by joint analysis of all environments with mixed-linear-model-based composite interval mapping (MCIM), 14 QTLs involved in QTL-by-environment interactions, and 11 epistatic interactions. Further analysis simultaneously identified 20 stable QTLs (sQTLs) by CIM and MCIM could be useful for genetic improvement of these traits via QTL pyramiding. Remarkably, bin 1.07-1.10/6.05/8.03/8.06 exhibited four pleiotropic sQTLs that were consistent with phenotypic correlations among traits, supporting the pleiotropy of QTLs and playing important roles in conferring growth and yield advantages under contrasting watering conditions. These findings provide information on the genetic mechanisms responsible for yield components and morphological traits that are affected by different watering conditions. Furthermore, these alleles provide useful targets for MAS.

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“…Plant architecture directly affects biomass in higher plants, and particularly influences grain yields in agricultural crops. The genetics of various aspects of maize ( Zea mays L.) plant architecture, a complicated agronomic trait that is mainly determined by plant height (PH), ear height (EH), and internode number (IN), have recently been extensively investigated [ 1 – 3 ]. These three components reflect the spatial conformation of the maize plant, which is closely correlated with biomass, lodging resistance, and tolerance of stress associated with high plant density.…”

Section: Introductionmentioning

confidence: 99%

Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines

et al. 2016

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BackgroundPlant architecture attributes, such as plant height, ear height, and internode number, have played an important role in the historical increases in grain yield, lodging resistance, and biomass in maize (Zea mays L.). Analyzing the genetic basis of variation in plant architecture using high density QTL mapping will be of benefit for the breeding of maize for many traits. However, the low density of molecular markers in existing genetic maps has limited the efficiency and accuracy of QTL mapping. Genotyping by sequencing (GBS) is an improved strategy for addressing a complex genome via next-generation sequencing technology. GBS has been a powerful tool for SNP discovery and high-density genetic map construction. The creation of ultra-high density genetic maps using large populations of advanced recombinant inbred lines (RILs) is an efficient way to identify QTL for complex agronomic traits.ResultsA set of 314 RILs derived from inbreds Ye478 and Qi319 were generated and subjected to GBS. A total of 137,699,000 reads with an average of 357,376 reads per individual RIL were generated, which is equivalent to approximately 0.07-fold coverage of the maize B73 RefGen_V3 genome for each individual RIL. A high-density genetic map was constructed using 4183 bin markers (100-Kb intervals with no recombination events). The total genetic distance covered by the linkage map was 1545.65 cM and the average distance between adjacent markers was 0.37 cM with a physical distance of about 0.51 Mb. Our results demonstrated a relatively high degree of collinearity between the genetic map and the B73 reference genome. The quality and accuracy of the bin map for QTL detection was verified by the mapping of a known gene, pericarp color 1 (P1), which controls the color of the cob, with a high LOD value of 80.78 on chromosome 1. Using this high-density bin map, 35 QTL affecting plant architecture, including 14 for plant height, 14 for ear height, and seven for internode number were detected across three environments. Interestingly, pQTL10, which influences all three of these traits, was stably detected in three environments on chromosome 10 within an interval of 14.6 Mb. Two MYB transcription factor genes, GRMZM2G325907 and GRMZM2G108892, which might regulate plant cell wall metabolism are the candidate genes for qPH10.ConclusionsHere, an ultra-high density accurate linkage map for a set of maize RILs was constructed using a GBS strategy. This map will facilitate identification of genes and exploration of QTL for plant architecture in maize. It will also be helpful for further research into the mechanisms that control plant architecture while also providing a basis for marker-assisted selection.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-016-2555-z) contains supplementary material, which is available to authorized users.

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Dissection of the genetic architecture underlying the plant density response by mapping plant height-related traits in maize (Zea mays L.)

Cited by 28 publications

References 41 publications

Analysis of the genetic basis of plant height-related traits in response to ethylene by QTL mapping in maize (Zea mays L.)

Analysis of the genetic basis of plant height-related traits in response to ethylene by QTL mapping in maize (Zea mays L.)

Comparative QTL analysis for yield components and morphological traits in maize (<i>Zea mays</i> L.) under water-stressed and well-watered conditions

Genetic dissection of maize plant architecture with an ultra-high density bin map based on recombinant inbred lines

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