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  • Oxford University Press (OUP)  (6)
  • 2020-2024  (6)
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  • Oxford University Press (OUP)  (6)
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  • 2020-2024  (6)
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  • 1
    Online Resource
    Online Resource
    A tomato HD-zip I transcription factor, VAHOX1, acts as a negative regulator of fruit ripening
    Oxford University Press (OUP) ; 2023
    In:  Horticulture Research Vol. 10, No. 1 ( 2023-01-04)
    Details
    In: Horticulture Research, Oxford University Press (OUP), Vol. 10, No. 1 ( 2023-01-04)
    Abstract: Homeodomain-leucine zipper (HD-Zip) transcription factors are only present in higher plants and are involved in plant development and stress responses. However, our understanding of their participation in the fruit ripening of economical plants, such as tomato (Solanum lycopersicum), remains largely unclear. Here, we report that VAHOX1, a member of the tomato HD-Zip I subfamily, was expressed in all tissues, was highly expressed in breaker+4 fruits, and could be induced by ethylene. RNAi repression of VAHOX1 (VAHOX1-RNAi) resulted in accelerated fruit ripening, enhanced sensitivity to ethylene, and increased total carotenoid content and ethylene production. Conversely, VAHOX1 overexpression (VAHOX1-OE) in tomato had the opposite effect. RNA-Seq results showed that altering VAHOX1 expression affected the transcript accumulation of a series of genes involved in ethylene biosynthesis and signal transduction and cell wall modification. Additionally, a dual-luciferase reporter assay, histochemical analysis of GUS activity and a yeast one-hybrid (Y1H) assay revealed that VAHOX1 could activate the expression of AP2a. Our findings may expand our knowledge about the physiological functions of HD-Zip transcription factors in tomato and highlight the diversities of transcriptional regulation during the fruit ripening process.
    Type of Medium: Online Resource
    ISSN: 2052-7276
    URL: Article
    DOI: 10.1093/hr/uhac236
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2781828-7
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Trihelix transcription factor SlGT31 regulates fruit ripening mediated by ethylene in tomato
    Oxford University Press (OUP) ; 2023
    In:  Journal of Experimental Botany Vol. 74, No. 18 ( 2023-09-29), p. 5709-5721
    Details
    In: Journal of Experimental Botany, Oxford University Press (OUP), Vol. 74, No. 18 ( 2023-09-29), p. 5709-5721
    Abstract: Trihelix proteins are plant-specific transcription factors that are classified as GT factors due to their binding specificity for GT elements, and they play crucial roles in development and stress responses. However, their involvement in fruit ripening and transcriptional regulatory mechanisms remains largely unclear. In this study, we cloned SlGT31, encoding a trihelix protein in tomato (Solanum lycopersicum), and determined that its relative expression was significantly induced by the application of exogenous ethylene whereas it was repressed by the ethylene-inhibitor 1-methylcyclopropene. Suppression of SlGT31 expression resulted in delayed fruit ripening, decreased accumulation of total carotenoids, and reduced ethylene content, together with inhibition of expression of genes related to ethylene and fruit ripening. Conversely, SlGT31-overexpression lines showed opposite results. Yeast one-hybrid and dual-luciferase assays indicated that SlGT31 can bind to the promoters of two key ethylene-biosynthesis genes, ACO1 and ACS4. Taken together, our results indicate that SlGT31 might act as a positive modulator during fruit ripening.
    Type of Medium: Online Resource
    ISSN: 0022-0957 , 1460-2431
    URL: Article
    DOI: 10.1093/jxb/erad300
    RVK:
    WA 15000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 1466717-4
    SSG: 12
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Bridging photosynthesis and crop yield formation with a mechanistic model of whole-plant carbon–nitrogen interaction
    Oxford University Press (OUP) ; 2023
    In:  in silico Plants Vol. 5, No. 2 ( 2023-07-01)
    Details
    In: in silico Plants, Oxford University Press (OUP), Vol. 5, No. 2 ( 2023-07-01)
    Abstract: Crop yield is determined by potential harvest organ size, source organ photosynthesis and carbohydrate partitioning. Filling the harvest organ efficiently remains a challenge. Here, we developed a kinetic model of rice grain filling, which scales from the primary biochemical and biophysical processes of photosynthesis to whole-plant carbon and nitrogen dynamics. The model reproduces the rice yield formation process under different environmental and genetic perturbations. In silico screening identified a range of post-anthesis targets—both established and novel—that can be manipulated to enhance rice yield. Remarkably, we pinpointed the stability of grain-filling rate from flowering to harvest as a critical factor for maximizing grain yield. This finding was further validated in two independent super-high-yielding rice cultivars, each yielding approximately 21 t ha−1 of rough rice at 14% moisture content. Furthermore, we revealed that stabilizing the grain-filling rate could lead to a potential yield increase of 30–40% in an elite rice cultivar. Notably, the instantaneous grain-filling rates around 15- and 38-day post-flowering significantly influence grain yield; and we introduced an innovative in situ approach using ear respiratory rates for precise quantification of these rates. We finally derived an equation to predict the maximum dried brown rice yield (Y, t ha−1) of a cultivar based on its potential gross photosynthetic accumulation from flowering to harvest (Apc, t CO2 ha−1): Y = 0.74 × Apc + 1.9. Overall, this work establishes a framework for quantitatively dissecting crop physiology and designing high-yielding ideotypes.
    Type of Medium: Online Resource
    ISSN: 2517-5025
    URL: Article
    DOI: 10.1093/insilicoplants/diad011
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 3019806-9
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  • 4
    Online Resource
    Online Resource
    Road Injuries Associated With Cellular Phone Use While Walking or Riding a Bicycle or an Electric Bicycle: A Case-Crossover Study
    Oxford University Press (OUP) ; 2021
    In:  American Journal of Epidemiology Vol. 190, No. 1 ( 2021-01-04), p. 37-43
    Details
    In: American Journal of Epidemiology, Oxford University Press (OUP), Vol. 190, No. 1 ( 2021-01-04), p. 37-43
    Abstract: Vulnerable road users (pedestrians, bicyclists, and motorcyclists) account for an increasing proportion of traffic injuries. We used a case-crossover study design to examine the association between cell-phone usage and traffic injuries among pedestrians, bicyclists, and electric bicycle riders during the course of their travel. We studied 643 pedestrians, bike riders, and electric bike riders aged 10–35 years who were involved in a road injury, visited the emergency department in one of the 3 hospitals in Shanghai, China, in 2019, and owned a cell phone. Half of the participants (n = 323; 50.2%) had used a cell phone within 1 minute before the injury happened. A pedestrian’s or rider’s use of a mobile phone up to 1 minute before a road injury was associated with a 3-fold increase in the likelihood of injury (odds ratio = 3.00, 95% confidence interval: 2.04, 4.42; P  & lt; 0.001). The finding was consistent across subgroups by sex, occupation, reason for travel, mode of transportation, and location of injury. Use of a cell phone when walking or riding was associated with an increased risk of road injury. Measures should be taken to make people aware of this detrimental impact on the risk of road injury.
    Type of Medium: Online Resource
    ISSN: 0002-9262 , 1476-6256
    URL: Article
    DOI: 10.1093/aje/kwaa164
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2030043-8
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  • 5
    Online Resource
    Online Resource
    The evolution of stomatal traits along the trajectory toward C4 photosynthesis
    Oxford University Press (OUP) ; 2022
    In:  Plant Physiology Vol. 190, No. 1 ( 2022-08-29), p. 441-458
    Details
    In: Plant Physiology, Oxford University Press (OUP), Vol. 190, No. 1 ( 2022-08-29), p. 441-458
    Abstract: C4 photosynthesis optimizes plant carbon and water relations, allowing high photosynthetic rates with low stomatal conductance. Stomata have long been considered a part of the C4 syndrome. However, it remains unclear how stomatal traits evolved along the path from C3 to C4. Here, we examined stomata in the Flaveria genus, a model used for C4 evolutionary study. Comparative, transgenic, and semi-in vitro experiments were performed to study the molecular basis that underlies the changes of stomatal traits in C4 evolution. The evolution from C3 to C4 species is accompanied by a gradual rather than an abrupt change in stomatal traits. The initial change appears near the Type I intermediate stage. Co-evolution of the photosynthetic pathway and stomatal traits is supported. On the road to C4, stomata tend to be fewer in number but larger in size and stomatal density dominates changes in anatomical maximum stomatal conductance (gsmax). Reduction of FSTOMAGEN expression underlies decreased gsmax in Flaveria and likely occurs in other C4 lineages. Decreased gsmax contributes to the increase in intrinsic water-use efficiency in C4 evolution. This work highlights the stomatal traits in the current C4 evolutionary model. Our study provides insights into the pattern, mechanism, and role of stomatal evolution along the road toward C4.
    Type of Medium: Online Resource
    ISSN: 0032-0889 , 1532-2548
    URL: Article
    DOI: 10.1093/plphys/kiac252
    RVK:
    WA 15000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2004346-6
    detail.hit.zdb_id: 208914-2
    SSG: 12
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    Online Resource
  • 6
    Online Resource
    Online Resource
    Fusing 2D and 3D molecular graphs as unambiguous molecular descriptors for conformational and chiral stereoisomers
    Oxford University Press (OUP) ; 2023
    In:  Briefings in Bioinformatics Vol. 24, No. 1 ( 2023-01-19)
    Details
    In: Briefings in Bioinformatics, Oxford University Press (OUP), Vol. 24, No. 1 ( 2023-01-19)
    Abstract: The rapid progress of machine learning (ML) in predicting molecular properties enables high-precision predictions being routinely achieved. However, many ML models, such as conventional molecular graph, cannot differentiate stereoisomers of certain types, particularly conformational and chiral ones that share the same bonding connectivity but differ in spatial arrangement. Here, we designed a hybrid molecular graph network, Chemical Feature Fusion Network (CFFN), to address the issue by integrating planar and stereo information of molecules in an interweaved fashion. The three-dimensional (3D, i.e., stereo) modality guarantees precision and completeness by providing unabridged information, while the two-dimensional (2D, i.e., planar) modality brings in chemical intuitions as prior knowledge for guidance. The zipper-like arrangement of 2D and 3D information processing promotes cooperativity between them, and their synergy is the key to our model’s success. Experiments on various molecules or conformational datasets including a special newly created chiral molecule dataset comprised of various configurations and conformations demonstrate the superior performance of CFFN. The advantage of CFFN is even more significant in datasets made of small samples. Ablation experiments confirm that fusing 2D and 3D molecular graphs as unambiguous molecular descriptors can not only effectively distinguish molecules and their conformations, but also achieve more accurate and robust prediction of quantum chemical properties.
    Type of Medium: Online Resource
    ISSN: 1467-5463 , 1477-4054
    URL: Article
    DOI: 10.1093/bib/bbac560
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2036055-1
    SSG: 12
    Location Call Number Limitation Availability
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