Gibberellin in plant height control: old player, new story

Wang, Yijun; Zhao, Jia; Lu, Wenjie; Deng, Dexiang

doi:10.1007/s00299-017-2104-5

Cited by 142 publications

(95 citation statements)

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“…Moreover, the variations that happened in upstream regions of 12 candidate genes with 29 haplotypes were selected for further verifying (Figure ). As we know, the hormones, including gibberellin (GA), auxin (IAA), brassinosteroids (BRs) and cytokinin (CK), have mainly taken part in the process of the division or elongation of cells and played a significant role in controlling the PH of plants (Ubeda‐Tomas & Bennett, ; Wang, Zhao, Lu, & Deng, ). Therefore, six of the 12 genes containing the motifs like TATC‐box, TGA‐element and AuxRE ( Glym a.01G023100, TATC‐box; Glyma.03G207700 , TGA‐element; Glyma.12G182500 , TGA‐element; Glyma.16G137500 , TGA‐element; Glyma.20G122200 , TATC‐box and AuxRE; Glyma .20G122300, AuxRE) which were involved in gibberellin or auxin responsiveness were selected and identified with qRT‐PCR.…”

Section: Resultsmentioning

confidence: 99%

“…In the present study, a total of 134 potential candidate genes were identified in 200‐kb genomic regions among the 14 association signals. Some genes associated with cell division or elongation, plant hormone metabolisms, proteins modification or degradation and signalling or transport of specific proteins, have been found to participate in the regulation of PH in soybean (Jung et al, ; Ubeda‐Tomas & Bennett, ; Wang, Zhao, et al, ; Yao et al, ; Zhong et al, ). To further identify the candidate genes that regulated PH, haplotype analysis of candidate genes was conducted.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the variations that happened in upstream regions of 12 candidate genes with 29 haplotypes were selected for further verifying ( Figure 5). As we know, the hormones, including gibberellin (GA), auxin (IAA), brassinosteroids (BRs) and cytokinin (CK), have mainly taken part in the process of the division or elongation of cells and played a significant role in controlling the PH of plants (Ubeda-Tomas & Bennett, 2010;Wang, Zhao, Lu, & Deng, 2017). Therefore, six of the 12 genes containing the motifs like TATC-box, TGA-element and AuxRE (Glyma.01G023100, TATC-box;…”

Section: Prediction Of Candidate Genes For Phmentioning

confidence: 99%

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Identification of loci and candidate genes for plant height in soybean (Glycine max) via genome‐wide association study

Zhao

Wang

et al. 2019

Plant Breeding

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Plant height (PH) of soybean (Glycine max (L.) Merr.) is an important and complex architecture trait significantly related to soybean yield. A natural population of 185 elite soybean accessions was used to identify QTN (quantitative trait nucleotide) and candidate genes of PH through genome‐wide association study (GWAS). A total of 33,149 SNPs were identified based on the Specific Locus Amplified Fragment Sequencing (SLAF‐seq). Finally, 14 signals associated with PH through GWAS were detected, including seven novel SNPs and seven known ones which were overlapped or located in the linked regions of known QTL. Numbers of functional genes located in the 200‐kb genomic region of each peak SNP were found. Furthermore, a total of 103 SNPs based on 28 genes were scanned. Among them, six novel genes containing cis‐acting elements involved in gibberellin or auxin responsiveness were predicted significantly related with PH according to transcript abundance analysis. The identified loci with beneficial alleles and the candidate genes might be useful for studying the molecular mechanisms of soybean PH and further for improving the potential yield of soybean.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Prediction Of Candidate Genes For Phmentioning

confidence: 99%

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Identification of loci and candidate genes for plant height in soybean (Glycine max) via genome‐wide association study

Zhao

Wang

et al. 2019

Plant Breeding

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“…At beginning of the flowering stage, the average plant height among 8 treatments was 46.50 cm, in which the maximum was observed in F8 (51.28 cm), followed by F5 (51.03 cm), F6 (50.16 cm), and F2 (49.75 cm). In these formulas, supplementary GA 3 was applied, and it was one of the major factors that contributed to the development of plant height [16]. Additionally, micronutrient fertilizer and Ca(NO 3 ) 2 foliar fertilizer were also applied in F8, leading to the highest plant height value found in this formula.…”

Section: Resultsmentioning

confidence: 99%

Effects of Gibberellic acid, micronutrient fertilizer and Calcium nitrate foliar fertilizer on growth and yield of tomato Solanum lycopersicum L. cultivated in Vietnam

Lê¹,

Bui²

2019

Vestn. Ross. univ. družby nar., Ser. Agron. životnovod.

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In this study, we present the experimental results which evaluate the influence of Gibberellic acid GA 3 , micronutrient fertilizer and Calcium nitrate Ca(NO 3 ) 2 foliar fertilizer on the growth and yield of tomato cultivar NHP11 cultivated in a net house located in Thanh Hoa province, Vietnam. The experiment including 8 formulas was laid out in a randomized complete block design (RCBD) with three replications. In treatments with the application of GA 3 , micronutrient fertilizer and Ca(NO 3 ) 2 foliar fertilizer, plants were observed to grow better than the control (via some indicators such as plant height, leaf area index, number of flowers per plant, effective flower rate, number of fruits per plant, average fruit weight per plant). The yields differed due to different formulas on tomato. Results indicated that the highest yield was recorded at 50.73 tons ha -1 when the combination of GA 3 , micronutrient fertilizer and Ca(NO 3 ) 2 foliar fertilizer was applied in F8, followed by the record of 47.31 tons ha -1 in F6 (in presence of GA 3 and Ca(NO 3 ) 2 foliar fertilizer), 46.55 tons ha -1 in F5 (in presence of GA 3 and micronutrient fertilizer), 45.79 tons ha -1 in F7 (in presence of Ca(NO 3 ) 2 foliar fertilizer and micronutrient fertilizer). The yields of tomato in F2, F3, F4 when treated with supplemented separately GA 3 , micronutrient fertilizer and Ca(NO 3 ) 2 foliar fertilizer respectively were higher than those of the control (39.90 tons ha -1 ) but lower than the yield in mixed formulas. Results show that the treatment combination of GA 3 , micronutrient fertilizer and Ca(NO 3 ) 2 foliar fertilizer can promote the growth and yield of tomato. Acknowledgments:Hong Duc University, Vietnam is appreciated for supporting this research. Author contributions:LVT conceived and planned the research, set-up the experiments, collected and analyzed the data, and wrote the initial draft of the manuscript. BBT planned and set up the experiments, analyzed the data, wrote and edited the manuscript. For citation:Le VT, Bui BT. Effects of Gibberellic acid, micronutrient fertilizer and Calcium nitrate foliar fertilizer on growth and yield of tomato Solanum lycopersicum L. cultivated in Vietnam.

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“…very large numbers of small additive effect loci) with some large effect loci likely fixed during domestication and early selection [23]. Functional genetic variation in terminal plant height has been shown to be controlled through hormones; mutations within the (i) gibberellin biosynthesis pathways [33] and crosstalk with other phytohormomes including: (ii) auxin [34] and (iii) brassinosteriods [35–38]. Hormones are well known to fluctuate throughout plant growth, responding to environmental and developmental stimuli [39–42].…”

Section: Introductionmentioning

confidence: 99%

Unoccupied aerial system enabled functional modeling of maize (Zea mays L.) height reveals dynamic expression of loci associated to temporal growth

Anderson

Murray

Chen

et al. 2019

Preprint

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Unoccupied aerial systems (UAS) were used to phenotype growth trajectories of inbred maize populations under field conditions. Three recombinant inbred line populations were surveyed on a weekly basis collecting RGB images across two irrigation regimens (irrigated and non-irrigated/rain fed). Plant height, estimated by the 95th percentile (P95) height from UAS generated 3D point clouds, exceeded 70% correlation to manual ground truth measurements and 51% of experimental variance was explained by genetics. The Weibull sigmoidal function accurately modeled plant growth (R2: >99%; RMSE: < 4 cm) from P95 genetic means. The mean asymptote was strongly correlated (r2=0.66-0.77) with terminal plant height. Maximum absolute growth rates (mm d-1) were weakly correlated to height and flowering time. The average inflection point ranged from 57 to 60 days after sowing (DAS) and was correlated with flowering time (r2=0.45-0.68). Functional growth parameters (asymptote, inflection point, growth rate) alone identified 34 genetic loci, each explaining 3 to 15% of total genetic variation. Plant height was estimated at one-day intervals to 85 DAS, identifying 58 unique temporal quantitative trait loci (QTL) locations. Genomic hotspots on chromosome 1 and 3 indicated chromosomal regions associated with functional growth trajectories influencing flowering time, growth rate, and terminal growth. Temporal QTL demonstrated unique dynamic expression patterns not observable previously, no QTL were significantly expressed throughout the entire growing season. UAS technologies improved phenotypic selection accuracy and permitted monitoring traits on a temporal scale previously infeasible using manual measurements, furthering understanding of crop development and biological trajectories.Author summaryUnoccupied aerial systems (UAS) now can provide high throughput phenotyping to functionally model plant growth and explore genetic loci underlying temporal expression of dynamic phenotypes, specifically plant height. Efficient integration of temporal phenotyping via UAS, will improve the scientific understanding of dynamic, quantitative traits and developmental trajectories of important agronomic crops, leading to new understanding of plant biology. Here we present, for the first time, the dynamic nature of quantitative trait loci (QTL) over time under field conditions. To our knowledge, this is first empirical study to expand beyond selective developmental time points, evaluating functional and temporal QTL expression in maize (Zea mays L.) throughout a growing season within a field-based environment.

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Gibberellin in plant height control: old player, new story

Cited by 142 publications

References 58 publications

Identification of loci and candidate genes for plant height in soybean (Glycine max) via genome‐wide association study

Identification of loci and candidate genes for plant height in soybean (Glycine max) via genome‐wide association study

Effects of Gibberellic acid, micronutrient fertilizer and Calcium nitrate foliar fertilizer on growth and yield of tomato Solanum lycopersicum L. cultivated in Vietnam

Unoccupied aerial system enabled functional modeling of maize (Zea mays L.) height reveals dynamic expression of loci associated to temporal growth

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