Comparative transcriptome analysis of the peanut semi-dwarf mutant 1 reveals regulatory mechanism involved in plant height

Guo, Fengdan; Hou, Lei; Ma, Changle; Li, Guanghui; Lin, Ruxia; Zhao, Yanxiu; Wang, Xingjun

doi:10.1016/j.gene.2021.145722

Cited by 9 publications

(4 citation statements)

References 61 publications

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“…Hormones are important regulators of plant growth and development. Many basic biological processes in peanut, such as seed germination, root hair growth, pollen tube elongation, blossom and leaf senescence, are known to be regulated by auxin, ABA, gibberellic acid (GA), JA and ethylene (Wang et al, 2018;Guo et al, 2021). Here, the AhPLDs expressed in various peanut tissues were found to contain at least one class of hormone-responsive cis-elements in their respective promoters (Figure 6; Table S6).…”

Section: Discussionmentioning

confidence: 95%

Genome-wide characterization of phospholipase D family genes in allotetraploid peanut and its diploid progenitors revealed their crucial roles in growth and abiotic stress responses

Zhang

Wang

et al. 2023

Front. Plant Sci.

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Abiotic stresses such as cold, drought and salinity are the key environmental factors that limit the yield and quality of oil crop peanut. Phospholipase Ds (PLDs) are crucial hydrolyzing enzymes involved in lipid mediated signaling and have valuable functions in plant growth, development and stress tolerance. Here, 22, 22 and 46 PLD genes were identified in Arachis duranensis, Arachis ipaensis and Arachis hypogaea, respectively, and divided into α, β, γ, δ, ε, ζ and φ isoforms. Phylogenetic relationships, structural domains and molecular evolution proved the conservation of PLDs between allotetraploid peanut and its diploid progenitors. Almost each A. hypogaea PLD except for AhPLDα6B had a corresponding homolog in A. duranensis and A. ipaensis genomes. The expansion of Arachis PLD gene families were mainly attributed to segmental and tandem duplications under strong purifying selection. Functionally, the most proteins interacting with AhPLDs were crucial components of lipid metabolic pathways, in which ahy-miR3510, ahy-miR3513-3p and ahy-miR3516 might be hub regulators. Furthermore, plenty of cis-regulatory elements involved in plant growth and development, hormones and stress responses were identified. The tissue-specific transcription profiling revealed the broad and unique expression patterns of AhPLDs in various developmental stages. The qRT-PCR analysis indicated that most AhPLDs could be induced by specific or multiple abiotic stresses. Especially, AhPLDα3A, AhPLDα5A, AhPLDβ1A, AhPLDβ2A and AhPLDδ4A were highly up-regulated under all three abiotic stresses, whereas AhPLDα9A was neither expressed in 22 peanut tissues nor induced by any abiotic stresses. This genome-wide study provides a systematic analysis of the Arachis PLD gene families and valuable information for further functional study of candidate AhPLDs in peanut growth and abiotic stress responses.

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Section: Discussionmentioning

confidence: 95%

Genome-wide characterization of phospholipase D family genes in allotetraploid peanut and its diploid progenitors revealed their crucial roles in growth and abiotic stress responses

Zhang

Wang

et al. 2023

Front. Plant Sci.

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“…The higher main stem height, lateral branch length, and LAI of late sowing peanuts may be attributed to stronger vegetative growth led by warmer temperatures and higher precipitation before flowering (Table 1). Plant height and LAI are fundamentally crucial agronomic traits to control crop growth and will influence peanut yield (Guo et al., 2021). One possible reason for the yield reduction of late sowing was the imbalance of the source–sink relationship for photoassimilates and nutrients and the ineffective assimilation of photosynthate to storage tissues (Zeng et al., 2021).…”

Section: Discussionmentioning

confidence: 99%

Optimizing sowing date and plant density improve peanut yield by mitigating heat and chilling stress

Liu¹,

Xu²,

Zhao³

et al. 2023

Agronomy Journal

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Peanut (Arachis hypogea L.) yield is dramatically declined by extreme weather stresses under climate change. Adjusting the sowing date and plant density are effective strategies to mitigate these stresses and improve peanut yield. However, a mechanistic understanding of the influence of environmental drivers and an optimized strategy have yet to be developed. Here, a 3‐year field experiment was conducted to evaluate the sowing date (April 25, early sowing; May 5, middle sowing; May 15, late sowing) and plant density (24, 30, and 36 plants m−2 as low, medium, and high) of peanut in the North China Plain. We found that higher pod yield was observed in the middle sowing (∼4492.4 kg ha−1) compared with the early and late sowing (∼3317.2 and 4088.1 kg ha−1, respectively). Meanwhile, the pod yield in high density (∼4162.5 kg ha−1) was 10.6% and 4.7% higher than low and medium density, respectively, mainly due to higher leaf area index. The relative peanut pod yield was positively correlated with the average minimum temperature 5 days before and after the flowering pegging stage, whilst it was negatively correlated with average maximum temperature 5 days before and after pod filling stage. Therefore, optimizing temperature conditions to improve the peanut yield can be achieved by adjusting the sowing date. In conclusion, sowing date and plant density manipulation constitute a useful method to mitigate heat and chilling stress and improve peanut yield.

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“…Plant structure reflects the size and organization form of above-ground organs of crops [ 11 ], which can indicate growth status, cultivation conditions, and water and fertilizer measures of crops [ 12 ]. In addition, the phenotypic traits of plants such as height and width also provide references for breeders to cultivate excellent breeding [ 13 – 16 ]. The establishment of a three-dimensional (3D) model of the plant can comprehensively understand the morphological features of the plant, which avoid the limitation of two-dimensional (2D) imaging lacking depth information and facilitate the subsequent accurate extraction of multiple trait parameters [ 10 , 17 – 19 ].…”

Section: Introductionmentioning

confidence: 99%

Fast reconstruction method of three-dimension model based on dual RGB-D cameras for peanut plant

et al. 2023

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Background Plant shape and structure are important factors in peanut breeding research. Constructing a three-dimension (3D) model can provide an effective digital tool for comprehensive and quantitative analysis of peanut plant structure. Fast and accurate are always the goals of the plant 3D model reconstruction research. Results We proposed a 3D reconstruction method based on dual RGB-D cameras for the peanut plant 3D model quickly and accurately. The two Kinect v2 were mirror symmetry placed on both sides of the peanut plant, and the point cloud data obtained were filtered twice to remove noise interference. After rotation and translation based on the corresponding geometric relationship, the point cloud acquired by the two Kinect v2 was converted to the same coordinate system and spliced into the 3D structure of the peanut plant. The experiment was conducted at various growth stages based on twenty potted peanuts. The plant traits’ height, width, length, and volume were calculated through the reconstructed 3D models, and manual measurement was also carried out during the experiment processing. The accuracy of the 3D model was evaluated through a synthetic coefficient, which was generated by calculating the average accuracy of the four traits. The test result showed that the average accuracy of the reconstructed peanut plant 3D model by this method is 93.42%. A comparative experiment with the iterative closest point (ICP) algorithm, a widely used 3D modeling algorithm, was additionally implemented to test the rapidity of this method. The test result shows that the proposed method is 2.54 times faster with approximated accuracy compared to the ICP method. Conclusions The reconstruction method for the 3D model of the peanut plant described in this paper is capable of rapidly and accurately establishing a 3D model of the peanut plant while also meeting the modeling requirements for other species' breeding processes. This study offers a potential tool to further explore the 3D model for improving traits and agronomic qualities of plants.

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Comparative transcriptome analysis of the peanut semi-dwarf mutant 1 reveals regulatory mechanism involved in plant height

Cited by 9 publications

References 61 publications

Genome-wide characterization of phospholipase D family genes in allotetraploid peanut and its diploid progenitors revealed their crucial roles in growth and abiotic stress responses

Genome-wide characterization of phospholipase D family genes in allotetraploid peanut and its diploid progenitors revealed their crucial roles in growth and abiotic stress responses

Optimizing sowing date and plant density improve peanut yield by mitigating heat and chilling stress

Fast reconstruction method of three-dimension model based on dual RGB-D cameras for peanut plant

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