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Impact of harvest maturity and storage conditions on tomato quality: A comprehensive experimental and modeling study 收获成熟度和储藏条件对番茄品质的影响:综合实验和模型研究
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-31 DOI: 10.1016/j.postharvbio.2024.113286
Steven Duret , Christophe Aubert , Sophie Annibal , Evelyne Derens-Bertheau , Valentine Cottet , Michel Jost , Guillaume Chalot , Denis Flick , Jean Moureh , Onrawee Laguerre , Valérie Mérendet , Elsa Desnoues
The study was applied to fresh tomatoes (Solanum lycopersicum, Marbone variety). First, a field survey was conducted to obtain statistical data on the temperature and duration (minimum, mode, maximum) at different stages in the supply chain. Then, the physicochemical, phytochemical and volatile compounds were measured at harvest and on five different days (3, 7, 11, 14 and 21 days) for two maturity stages at harvest (green-orange and light red) and under three storage temperatures (3 °C, 8 °C and 15 °C). These data were used to evaluate the combined impact of harvest maturity, time and storage temperature on the evolution of the different compounds. From the same data, quality models were developed based on the Arrhenius equation to describe the tomato quality evolution under different storage temperatures for (Z)-3 hexenal, total sum of acids, lycopene and chlorogenic acid. These compounds were chosen because of their relation to commercial and nutritional qualities. The model results were validated using additional data from a different study conducted on one constant temperature profile and two dynamic time-temperature profiles as in a supply chain. Finally, data from the field survey and the quality models were combined in a Monte Carlo process (105 product items) to simulate the variability of time-temperature profiles from the grower to the sales outlet and its impact on the quality attributes. For two maturity stages at harvest, the impact of the supply chain on the quality attributes of tomatoes at the sales outlet was also analyzed. Simulation results show that the maturity stage at harvest significantly impacts the final lycopene content and the total sum of acids in tomatoes at the sales outlet, with fruit harvested at the light red stage containing higher lycopene levels (and a lower hue angle) and a lower total sum of acids in comparison with fruit harvested at the green-orange stage. However, at the sales outlet, the concentrations of chlorogenic acid and (Z)-3-hexenal in fruit harvested at the green-orange and light red stages are similar. This information would be useful for fruit and vegetable stakeholders for time-temperature management of tomato fruit throughout the supply chain in order to optimally preserve the main quality attributes.
这项研究适用于新鲜番茄(Solanum lycopersicum,Marbone 品种)。首先,进行了实地调查,以获得供应链中不同阶段的温度和持续时间(最低、一般、最高)的统计数据。然后,在收获时和五个不同的日期(3、7、11、14 和 21 天),对收获时的两个成熟阶段(绿橙色和浅红色)以及三种储存温度(3 °C、8 °C 和 15 °C)下的理化、植物化学和挥发性化合物进行了测量。这些数据用于评估收获成熟度、时间和储存温度对不同化合物演变的综合影响。根据相同的数据,基于阿伦尼乌斯方程建立了质量模型,以描述不同贮藏温度下 (Z)-3 己烯醛、酸总和、番茄红素和绿原酸的番茄质量变化。之所以选择这些化合物,是因为它们与商业和营养品质有关。利用对供应链中一个恒定温度曲线和两个动态时间-温度曲线进行的不同研究中的额外数据,对模型结果进行了验证。最后,在蒙特卡洛过程(105 个产品项目)中结合了实地调查数据和质量模型,以模拟从种植者到销售点的时间-温度曲线的变化及其对质量属性的影响。对于收获时的两个成熟阶段,还分析了供应链对销售点番茄质量属性的影响。模拟结果显示,收获时的成熟阶段对销售点番茄的最终番茄红素含量和酸总和有显著影响,与青橙色阶段收获的番茄相比,浅红色阶段收获的果实番茄红素含量更高(色调角度更低),酸总和更低。不过,在销售点,绿橙色和浅红色阶段采收的水果中绿原酸和(Z)-3-己烯醛的浓度相似。这一信息将有助于水果和蔬菜利益相关者在整个供应链中对番茄果实进行时间-温度管理,从而以最佳方式保存其主要质量属性。
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引用次数: 0
CmERFⅠ-5 and CmERFⅤ-2 affect ethylene synthesis and sucrose accumulation in postharvest oriental melon fruit at low temperature CmERFⅠ-5和CmERFⅤ-2对低温条件下采后东瓜果实乙烯合成和蔗糖积累的影响
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-31 DOI: 10.1016/j.postharvbio.2024.113295
Fan Yang , Ge Gao , Cheng Wang , Jingyue Guan , Junqin Chen , Hongyan Qi
Postharvest low-temperature storage crucially affects ethylene-dependent fruit ripening and the sucrose accumulation of climacteric melon fruit; however, the molecular mechanism by which ethylene affects sugar content at low temperature remains unclear. Here, ‘High Sucrose’ (‘HS’) melon fruit were harvested at the initial stage of ethylene release (30 d after anthesis, DAA) and treated at different temperature (25 ℃, 10 ℃, and 4 ℃). The results revealed that both low temperature treatments had a lower sucrose content and sucrose percentage while also having a higher starch content, hexose level, vacuolar invertase (VINV) activity, and CmVINV2 expression in the melon fruit. Moreover, the ethylene production and CmACO1 (ACC oxidase 1) expression were lower at low temperature. Both low-temperature treatments positively and negatively regulated the expression of the ethylene response factors CmERFV-2 and CmERFI-5, respectively. We found that CmERFV-2 and CmERFI-5 could positively regulate the promoters of CmVINV2 and CmACO1, respectively. The agrobacterium-mediated transient transformation further verified that CmERFV-2 silencing and CmERFI-5 overexpression resulted in higher sucrose levels and produced more ethylene. In short, postharvest low-temperature treatments promoted CmERFV-2 expression and inhibited CmERFI-5 expression, which activated the transcription of downstream CmVINV2 and CmACO1, respectively, ultimately affecting sugar content and ethylene biosynthesis. The lower production of ethylene at low temperature reduced starch degradation, thereby affecting sugar accumulation in melon fruit. This study explained the cause for the lower sweetness of postharvest oriental melon fruit at low temperature and provided new insights into maintaining flavour quality at low temperature.
采后低温贮藏对依赖乙烯的果实成熟和攀缘瓜果的蔗糖积累有重要影响;然而,乙烯在低温下影响糖分含量的分子机制仍不清楚。本文在乙烯释放初期(花后30 d,DAA)采收'高蔗糖'('HS')甜瓜果实,并在不同温度(25 ℃、10 ℃和4 ℃)下处理。结果表明,两种低温处理的甜瓜果实蔗糖含量和蔗糖率都较低,但淀粉含量、己糖含量、液泡转化酶(VINV)活性和 CmVINV2 表达量都较高。此外,低温条件下乙烯产量和 CmACO1(ACC 氧化酶 1)表达量较低。低温处理对乙烯响应因子 CmERFV-2 和 CmERFI-5 的表达分别有正向和负向调节作用。我们发现,CmERFV-2 和 CmERFI-5 可分别正向调节 CmVINV2 和 CmACO1 的启动子。农杆菌介导的瞬时转化进一步验证了 CmERFV-2 沉默和 CmERFI-5 过表达可提高蔗糖水平并产生更多乙烯。总之,采后低温处理促进了 CmERFV-2 的表达,抑制了 CmERFI-5 的表达,分别激活了下游 CmVINV2 和 CmACO1 的转录,最终影响了糖分含量和乙烯的生物合成。低温下乙烯产量降低,淀粉降解减少,从而影响瓜果的糖分积累。这项研究解释了低温条件下采后倭瓜果实甜度降低的原因,并为在低温条件下保持风味品质提供了新的见解。
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引用次数: 0
Relationships between melatonin and salicylic acid treatments in delaying the senescence of postharvest pear fruit 褪黑激素和水杨酸处理在延缓采后梨果衰老方面的关系
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-30 DOI: 10.1016/j.postharvbio.2024.113288
Ao Cheng , Pengfei Zhao , Xu Wang , Shichao Luo , Peixuan Xu , Yiran Ye , Hao Yuan , Yuxin Ji , Hui Ma , Jianfeng Xu , Yuxing Zhang , Haixia Zhang
Fruit senescence is an important stage in the post-ripening fruit life process and has a direct impact on the maintenance of postharvest fruit quality. Pears are among the most widely cultivated fruit trees in China and worldwide. However, there are problems such as poor postharvest preservation, high rotting rates, and serious economic losses in the pear industry. Previous studies have shown that melatonin and salicylic acid can delay fruit senescence; however, the relationship between them during this process has not been elucidated. Therefore, to clarify the relationships of melatonin and salicylic acid in regulating pear fruit senescence, this study applied melatonin, salicylic acid and their combined treatments at different concentrations to 'Xin li No.7′ pear fruit and analyzed the physiological, biochemical, and transcriptional effects of melatonin and salicylic acid on pear fruit senescence. The results showed that melatonin, salicylic acid and their combined treatments delayed the percentage of decayed pear fruit during postharvest storage. Melatonin, salicylic acid and their combined delayed the increase in weight loss of pear fruit and decrease in the internal quality (firmness, soluble solid content, and total soluble sugar) of pear fruit. This reduced the peak value of the endogenous ethylene release rate and the activity of cell wall-degrading enzymes (polygalacturonase, pectin methylesterase, and lipoxygenase). It also increased the activity of antioxidant enzymes (superoxide dismutase, peroxidase, and catalase, and ascorbate peroxidase) and the levels of endogenous melatonin and salicylic acid in pears. However, melatonin and salicylic acid combined treatments did not present additive effects. In addition, the transcriptome data of pear peel and pulp treated with different concentrations of melatonin and salicylic acid at different concentrations during senescence storage were analysed using GO and KEGG enrichment to reveal the molecular relationships between them at the transcriptional level. In addition, we found that exogenous melatonin and salicylic acid upregulated the expression of PR1-like genes and downregulated the expression of NPR-like genes. They can also promote the expression of ETR1 and EBF-1 and inhibit the expression of EIN3-like1 and CTR1 in the ethylene signalling pathway in postharvest pear fruit. Our results preliminarily revealed the biochemical and molecular relationships between melatonin and salicylic acid in delaying pear fruit senescence and provided a theoretical basis to further elucidate the relationship between melatonin and salicylic acid in delaying the senescence of postharvest pear fruit.
果实衰老是果实成熟后生命过程中的一个重要阶段,直接影响到采后果实品质的保持。梨是中国乃至世界上栽培面积最大的果树之一。然而,梨产业存在采后保鲜差、腐烂率高、经济损失严重等问题。以往的研究表明,褪黑激素和水杨酸能延缓果实衰老,但它们在这一过程中的关系尚未阐明。因此,为了阐明褪黑素和水杨酸在调控梨果衰老过程中的关系,本研究对 "新梨 7 号 "梨果施加不同浓度的褪黑素、水杨酸及其联合处理,并分析了褪黑素和水杨酸对梨果衰老的生理、生化和转录效应。结果表明,褪黑素、水杨酸及其联合处理均能延缓梨果在采后贮藏过程中的腐烂率。褪黑素、水杨酸和它们的组合能延缓梨果重量损失的增加和梨果内部质量(坚实度、可溶性固形物含量和可溶性总糖)的下降。这降低了内源乙烯释放率的峰值和细胞壁降解酶(聚半乳糖醛酸酶、果胶甲基酯酶和脂氧酶)的活性。它还提高了梨中抗氧化酶(超氧化物歧化酶、过氧化物酶、过氧化氢酶和抗坏血酸过氧化物酶)的活性以及内源褪黑激素和水杨酸的水平。然而,褪黑素和水杨酸的联合处理并没有产生叠加效应。此外,我们还利用 GO 和 KEGG 富集方法分析了衰老贮藏期间使用不同浓度褪黑激素和水杨酸处理的梨皮和果肉的转录组数据,以揭示它们之间在转录水平上的分子关系。此外,我们还发现外源褪黑激素和水杨酸能上调 PR1 类基因的表达,下调 NPR 类基因的表达。它们还能促进采后梨果实乙烯信号通路中 ETR1 和 EBF-1 的表达,抑制 EIN3-like1 和 CTR1 的表达。我们的研究结果初步揭示了褪黑激素和水杨酸延缓梨果衰老的生化和分子关系,为进一步阐明褪黑激素和水杨酸延缓采后梨果衰老的关系提供了理论依据。
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引用次数: 0
A multi-source feature stable learning method for rapid identification of cork spot disorder in ‘Akizuki’ pear 一种多源特征稳定学习法,用于快速识别 "秋月 "梨的软木塞斑病
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-30 DOI: 10.1016/j.postharvbio.2024.113285
Jianghui Xiong , Shangfeng Gu , Yuan Rao , Li Liu , Xiaodan Zhang , Yuting Wu , Xiu Jin
The quality grading and sorting of ‘Akizuki’ pear, a high-quality fruit, is a vital part of the supply chain. Meanwhile, cork spot disorder, a common physiological issue that affects the healthy development of pear fruit, requires rapid and accurate identification. To further enhance the identification precision of cork spot disorder in ‘Akizuki’ pear, this study proposes a multi-source feature stable learning (MFSL) method based on neural architecture search and sample reweighting techniques, building upon the fusion of near-infrared spectrum and visual image. This method employs secondary reweighted optimization training on a multi-source fusion model, enabling it to fully learn label-related features and thereby enhance generalization. Experimental results show that the optimal modelling performance of the multi-source fusion feature has increased by 26.89 % in accuracy compared to the single spectrum and by 11.19 % compared to the single image. After optimization training, the testing accuracy of the model improved by 1.31 %, reaching 89.47 %, and the F1-score increased by 1.47 %, reaching 89.83 %. The results validate the effectiveness of the method in enhancing the model’s generalization performance. The proposed MFSL method for the precise identification of cork spot disorder in ‘Akizuki’ pear in this study significantly improves the accuracy of the multi-source fusion model in symptom recognition. The research results have important reference value for the efficient grading and sorting of pear fruit quality.
优质水果'秋月'梨的质量分级和分类是供应链的重要组成部分。同时,木栓斑病是影响梨果健康发育的常见生理问题,需要快速准确地识别。为了进一步提高'秋月'梨软木塞斑病的识别精度,本研究在融合近红外光谱和视觉图像的基础上,提出了一种基于神经架构搜索和样本重权技术的多源特征稳定学习(MFSL)方法。该方法对多源融合模型进行二次重权优化训练,使其能够充分学习与标签相关的特征,从而增强泛化能力。实验结果表明,与单一光谱相比,多源融合特征的最佳建模性能提高了 26.89%,与单一图像相比,提高了 11.19%。经过优化训练后,模型的测试准确率提高了 1.31%,达到 89.47%,F1 分数提高了 1.47%,达到 89.83%。结果验证了该方法在提高模型泛化性能方面的有效性。本研究提出的用于精确识别秋月梨软木斑病的 MFSL 方法显著提高了多源融合模型在症状识别中的准确性。研究成果对梨果实质量的有效分级和分类具有重要的参考价值。
{"title":"A multi-source feature stable learning method for rapid identification of cork spot disorder in ‘Akizuki’ pear","authors":"Jianghui Xiong ,&nbsp;Shangfeng Gu ,&nbsp;Yuan Rao ,&nbsp;Li Liu ,&nbsp;Xiaodan Zhang ,&nbsp;Yuting Wu ,&nbsp;Xiu Jin","doi":"10.1016/j.postharvbio.2024.113285","DOIUrl":"10.1016/j.postharvbio.2024.113285","url":null,"abstract":"<div><div>The quality grading and sorting of ‘Akizuki’ pear, a high-quality fruit, is a vital part of the supply chain. Meanwhile, cork spot disorder, a common physiological issue that affects the healthy development of pear fruit, requires rapid and accurate identification. To further enhance the identification precision of cork spot disorder in ‘Akizuki’ pear, this study proposes a multi-source feature stable learning (MFSL) method based on neural architecture search and sample reweighting techniques, building upon the fusion of near-infrared spectrum and visual image. This method employs secondary reweighted optimization training on a multi-source fusion model, enabling it to fully learn label-related features and thereby enhance generalization. Experimental results show that the optimal modelling performance of the multi-source fusion feature has increased by 26.89 % in accuracy compared to the single spectrum and by 11.19 % compared to the single image. After optimization training, the testing accuracy of the model improved by 1.31 %, reaching 89.47 %, and the F1-score increased by 1.47 %, reaching 89.83 %. The results validate the effectiveness of the method in enhancing the model’s generalization performance. The proposed MFSL method for the precise identification of cork spot disorder in ‘Akizuki’ pear in this study significantly improves the accuracy of the multi-source fusion model in symptom recognition. The research results have important reference value for the efficient grading and sorting of pear fruit quality.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"219 ","pages":"Article 113285"},"PeriodicalIF":6.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Starch–sucrose metabolism and phenylpropanoid biosynthesis pathways play crucial regulatory roles in extending the postharvest longevity of Lilium brownii var. viridulum bulbs 淀粉-蔗糖代谢和苯丙酮生物合成途径在延长棕色百合变种 viridulum 球茎采后寿命方面发挥关键的调节作用
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-30 DOI: 10.1016/j.postharvbio.2024.113280
Zongquan Chen , Haoran Zhu , Kezhong Zhang , Jinteng Cui
The short shelf life of Lilium brownii var. viridulum bulbs after harvesting limits its market supply capacity and makes it difficult to meet customer demand. Therefore, it is particularly important to effectively extend the fresh-eating period of Lilium brownii var. viridulum. In this study, Lilium brownii var. viridulum was used as experimental material and metabolomics and transcriptomics techniques were employed. A total of 883 metabolites and 9452 differentially expressed genes were detected, primarily enriched in secondary metabolite biosynthesis, phenylpropanoid biosynthesis, and starch–sucrose metabolism pathways. Further analyses showed that the accumulation of cellulose had a positive effect on maintaining the cellular structure and morphology of the Lilium brownii var. viridulum bulbs. The reduction of vicianose may be related to the energy expenditure associated with maintaining internal metabolism in Lilium brownii var. viridulum bulbs after postharvest. The low temperature and hypobaric conditions could slow down the increase of reducing sugars, reduce the metabolic rate of sucrose, maintain the relative stability of trehalose, and improve the resistance of bulbs. Ferulic acid was not consumed in large quantities and flavonoids were not over-accumulated, effectively maintaining the stability of the epidermal colour of the bulbs. Meanwhile, the increased expression of LbSUS4, LbINV2, and LbTPP genes could enhance the cold tolerance of Lilium brownii var. viridulum bulbs, stabilise the cell membrane and protect the cell structure to adapt to changes in environmental conditions. In conclusion, bulbs stored under low temperature and hypobaric conditions showed minimal changes in metabolites, and their morphology and color were maintained for a longer duration. This method proves to be suitable for the rapid postharvest storage of Lilium brownii var. viridulum bulbs. This study provides new insights into the molecular regulatory mechanisms during postharvest storage of Lilium brownii var. viridulum bulbs and offers theoretical and technical support for extending their fresh-eating period.
百合花球茎采收后货架期短,限制了其市场供应能力,难以满足客户需求。因此,有效延长百合花的鲜食期尤为重要。本研究以棕色百合(Lilium brownii var. viridulum)为实验材料,采用代谢组学和转录组学技术。共检测到 883 种代谢物和 9452 个差异表达基因,主要富集在次生代谢物生物合成、苯丙类化合物生物合成和淀粉-蔗糖代谢途径中。进一步的分析表明,纤维素的积累对维持棕色百合变种 viridulum 球茎的细胞结构和形态有积极作用。葡萄糖的减少可能与采后百合花球茎维持内部代谢的能量消耗有关。低温和低气压条件可以减缓还原糖的增加,降低蔗糖的代谢率,维持三卤糖的相对稳定,提高鳞茎的抗性。阿魏酸没有被大量消耗,黄酮类化合物也没有过度积累,有效地保持了鳞茎表皮颜色的稳定。同时,LbSUS4、LbINV2 和 LbTPP 基因表达量的增加可增强百合鳞茎的耐寒性,稳定细胞膜,保护细胞结构,以适应环境条件的变化。总之,在低温和低气压条件下贮藏的球茎代谢物变化极小,其形态和颜色也能保持较长时间。事实证明,这种方法适用于棕色百合变种 viridulum 球茎采后的快速贮藏。这项研究为研究采后贮藏百合变种viridulum球茎的分子调控机制提供了新的视角,为延长其鲜食期提供了理论和技术支持。
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引用次数: 0
Functional analysis of apple defense protein MdPL and screening of proteins interaction with Penicillium expansum 苹果防御蛋白 MdPL 的功能分析及与扩张青霉相互作用蛋白的筛选
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-30 DOI: 10.1016/j.postharvbio.2024.113289
Kaili Wang, Hua Wang, Meng Xu, Esa Abiso Godana, Yuchun Lu, Hongyin Zhang
Blue mold disease, caused by Penicillium expansum, is the most devastating post-harvest fungal disease affecting apples. During the fungal infection, there is a significant interaction between the pathogen and the apple, leading to the production of important metabolites and the activation of related metabolic processes. As one of the metabolites, pectin lyase is an important pectin-modifying enzyme that regulates the elasticity and permeability of cell wall and plays a key role in plant disease resistance and fruit softening. In this study, a pectin lyase protein MdPL was identified, which has the function of regulating cell wall permeability. It is up-regulated in the process of apple defense against P. expansum infection, and may have a key defense function. Protein bioinformatics analysis showed that MdPL belonged to the PL1 family, and subcellular localization was predicted to be located in the nucleus. The protein expression of P. expansum at different stages of infection was analyzed by RT-qPCR. The results of subcellular localization of Agrobacterium transformation showed that MdPL was localized in the nucleus, which was consistent with the results of bioinformatics analysis. The Y2H system explored the proteins interacting with apple proteins during P. expansum infection. The results showed that apple bait protein had no self-activation and no toxic effect on Y2H cells. The interacting protein MdPL-PeXR was screened from 10 pairs of candidates interacting protein pairs. HDOCK was used to analyze the interaction protein of MdPL, the results showed that the docking score was −225.61 and the confidence score was 0.8194, which verified the results of the Y2H test. This study provides ideas and references for further exploring the interaction mechanism between apple and P. expansum, and is of great significance for the study of plant-pathogen interaction.
由扩张青霉引起的蓝霉病是影响苹果的最具破坏性的采后真菌病。在真菌感染过程中,病原体与苹果之间会发生显著的相互作用,从而产生重要的代谢产物并激活相关的代谢过程。作为代谢产物之一,果胶裂解酶是一种重要的果胶修饰酶,可调节细胞壁的弹性和渗透性,在植物抗病和果实软化过程中发挥关键作用。本研究发现了一种果胶裂解酶蛋白 MdPL,它具有调节细胞壁渗透性的功能。它在苹果抵御扩张菌感染的过程中上调,可能具有关键的防御功能。蛋白质生物信息学分析表明,MdPL属于PL1家族,亚细胞定位预测位于细胞核。通过 RT-qPCR 分析了扩张体在不同感染阶段的蛋白质表达情况。农杆菌转化的亚细胞定位结果显示,MdPL定位于细胞核,这与生物信息学分析结果一致。Y2H 系统探讨了扩张菌感染过程中与苹果蛋白相互作用的蛋白。结果表明,苹果诱饵蛋白对Y2H细胞无自激活作用,也无毒性作用。从10对候选相互作用蛋白中筛选出了相互作用蛋白MdPL-PeXR。利用 HDOCK 对 MdPL 的相互作用蛋白进行分析,结果显示对接得分为-225.61,置信度为 0.8194,验证了 Y2H 试验的结果。该研究为进一步探讨苹果与扩张果实(P. expansum)的互作机制提供了思路和参考,对植物与病原菌互作的研究具有重要意义。
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引用次数: 0
MeJA and MeSA alleviate black rot in winter jujube caused by Alternaria tenuissima by regulating membrane lipid and reactive oxygen metabolism MeJA和MeSA通过调节膜脂和活性氧代谢缓解由Alternaria tenuissima引起的冬枣黑腐病
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-30 DOI: 10.1016/j.postharvbio.2024.113275
Wanting Yang , Lingling Li , Yuxing Liu , Weida Zhang , Minrui Guo , Guogang Chen
Black rot is a serious disease caused by Alternaria tenuissima (A. tenuissima) that affects winter jujubes. This study explored the effects of MeJA and MeSA on disease resistance in winter jujubes by regulating membrane lipid and reactive oxygen metabolism in response to A. tenuissima infection. MeJA and MeSA significantly reduced the disease severity in winter jujube, enhanced the activity and gene expression of antioxidant-related enzymes, inhibited the activity and gene expression of membrane lipid oxidation-related enzymes, delayed the decomposition of ascorbic acid, glutathione, phosphatidylcholine, and phosphatidylinositol, inhibited the accumulation of hydrogen peroxide, phosphatidic acid, and malondialdehyde, the production rate of superoxide anion and a rise in relative electrical conductivity, and maintained winter jujube cell membrane unsaturation (U/S). Compared with the sterile water treatment, the regulation of membrane lipid metabolism and ROS metabolism in winter jujube fruits by MeJA and MeSA could be a contributing factor to their enhanced resistance against A. tenuissima. The membrane lipid oxidation degree in the MeJA group was lower, indicating that MeJA had better application prospects in disease resistance and storing and preserving winter jujube than MeSA.
黑腐病是由Alternaria tenuissima(A. tenuissima)引起的一种严重病害,主要危害冬枣。本研究探讨了 MeJA 和 MeSA 通过调节膜脂和活性氧代谢对冬枣抗病性的影响。MeJA 和 MeSA 能明显减轻冬枣的病害程度,提高抗氧化相关酶的活性和基因表达,抑制膜脂氧化相关酶的活性和基因表达,延缓抗坏血酸、谷胱甘肽和磷脂酰胆碱的分解、磷脂酰胆碱和磷脂酰肌醇的分解,抑制过氧化氢、磷脂酸和丙二醛的积累,抑制超氧阴离子的产生率和相对电导率的升高,维持冬枣细胞膜的不饱和度(U/S)。与无菌水处理相比,MeJA和MeSA对冬枣果实膜脂代谢和ROS代谢的调节作用可能是冬枣对A. tenuissima抗性增强的一个因素。MeJA 组的膜脂氧化程度较低,表明 MeJA 在冬枣抗病和贮藏保鲜方面比 MeSA 有更好的应用前景。
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引用次数: 0
Genome-wide characterization and comparative transcriptomics unravel CpMADS47 as a positive regulator during fruit ripening and softening in Chinese cherry 全基因组表征和比较转录组学揭示了 CpMADS47 在中国樱桃果实成熟和软化过程中的积极调控作用
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-29 DOI: 10.1016/j.postharvbio.2024.113287
Tai Tian , Shiqing Yin , Fengting Huang , Longqiang Feng , Yan Ma , Hao Wang , Jing Zhang , Wen He , Yuanxiu Lin , Yunting Zhang , Mengyao Li , Zhiwei Wu , Yong Zhang , Ya Luo , Haoru Tang , Qing Chen , Xiaorong Wang , Yan Wang
Chinese cherry [Cerasus pseudocerasus (Lindl.) G.Don] (syn. Prunus pseudocerasus Lindl.) is an economically important fruit crop native to China. The fruits are prone to softening and rotting after harvest, which significantly limits their marketability and hinders its rapid development throughout China. The MADS-box gene family, particularly the SEP subfamily, plays a crucial role in governing fruit ripening and softening. However, the molecular mechanisms underlying fruit ripening and softening in Chinese cherry remains unclear. Herein, we identified 92 MADS genes from the Chinese cherry genome and analyzed their physicochemical characteristics, chromosomal localization, phylogeny, gene structures, covariance, and cis-acting elements. Many cis-elements in the promoters of CpMADSs are implicated in fruit development, ripening and stress response. Using comparative transcriptomics and RT-qPCR analysis, we identified a key gene, CpMADS47, as a positive regulator of cherry fruit ripening. CpMADS47 is localized in both the nucleus and cell membrane and shows highly expression in flowers and mature fruits. Transient overexpression of CpMADS47 in cherry fruit demonstrated its role in mediating fruit ripening and softening by promoting reduction in fruit firmness, anthocyanin accumulation, depolymerization of cell wall components, enhancement of cell wall degradation enzyme activity, and ABA biosynthesis. Conversely, silencing CpMADS47 generated the opposite effect. Yeast one-hybrid and dual-luciferase assays revealed that the CpMADS47 targets the promoters of cell wall degrading genes (CpPME3 and CpXTH31) and ABA signal transduction genes (CpPP2C12), thereby activating their transcription and promoting cherry fruit ripening. In summary, this study enriches our understanding of the transcriptional regulation of fruit ripening and softening in Chinese cherry.
中国樱桃[Cerasus pseudocerasus (Lindl.) G.Don](同属 Prunus pseudocerasus Lindl.)是原产于中国的一种经济上重要的水果作物。果实采收后容易软化和腐烂,极大地限制了其销路,阻碍了其在中国各地的快速发展。MADS-box 基因家族,尤其是 SEP 亚家族,在果实成熟和软化过程中起着至关重要的作用。然而,中国樱桃果实成熟和软化的分子机制仍不清楚。在此,我们从中国樱桃基因组中鉴定了92个MADS基因,并分析了它们的理化特征、染色体定位、系统发育、基因结构、共变性和顺式作用元件。CpMADS 启动子中的许多顺式元件与果实发育、成熟和胁迫响应有关。通过比较转录组学和 RT-qPCR 分析,我们发现了一个关键基因 CpMADS47,它是樱桃果实成熟的正调控因子。CpMADS47 定位于细胞核和细胞膜,在花和成熟果实中均有高表达。CpMADS47 在樱桃果实中的瞬时过表达表明,它通过促进果实硬度下降、花青素积累、细胞壁成分解聚、细胞壁降解酶活性增强和 ABA 生物合成等作用,介导果实成熟和软化。相反,沉默 CpMADS47 则会产生相反的效果。酵母单杂交和双荧光素酶测定显示,CpMADS47靶向细胞壁降解基因(CpPME3 和 CpXTH31)和 ABA 信号转导基因(CpPP2C12)的启动子,从而激活它们的转录,促进樱桃果实成熟。总之,本研究丰富了我们对中国樱桃果实成熟和软化转录调控的认识。
{"title":"Genome-wide characterization and comparative transcriptomics unravel CpMADS47 as a positive regulator during fruit ripening and softening in Chinese cherry","authors":"Tai Tian ,&nbsp;Shiqing Yin ,&nbsp;Fengting Huang ,&nbsp;Longqiang Feng ,&nbsp;Yan Ma ,&nbsp;Hao Wang ,&nbsp;Jing Zhang ,&nbsp;Wen He ,&nbsp;Yuanxiu Lin ,&nbsp;Yunting Zhang ,&nbsp;Mengyao Li ,&nbsp;Zhiwei Wu ,&nbsp;Yong Zhang ,&nbsp;Ya Luo ,&nbsp;Haoru Tang ,&nbsp;Qing Chen ,&nbsp;Xiaorong Wang ,&nbsp;Yan Wang","doi":"10.1016/j.postharvbio.2024.113287","DOIUrl":"10.1016/j.postharvbio.2024.113287","url":null,"abstract":"<div><div>Chinese cherry [<em>Cerasus pseudocerasus</em> (Lindl.) G.Don] (syn. <em>Prunus pseudocerasus</em> Lindl.) is an economically important fruit crop native to China. The fruits are prone to softening and rotting after harvest, which significantly limits their marketability and hinders its rapid development throughout China. The MADS-box gene family, particularly the SEP subfamily, plays a crucial role in governing fruit ripening and softening. However, the molecular mechanisms underlying fruit ripening and softening in Chinese cherry remains unclear. Herein, we identified 92 MADS genes from the Chinese cherry genome and analyzed their physicochemical characteristics, chromosomal localization, phylogeny, gene structures, covariance, and cis-acting elements. Many <em>cis</em>-elements in the promoters of <em>CpMADSs</em> are implicated in fruit development, ripening and stress response. Using comparative transcriptomics and RT-qPCR analysis, we identified a key gene, <em>CpMADS47</em>, as a positive regulator of cherry fruit ripening. CpMADS47 is localized in both the nucleus and cell membrane and shows highly expression in flowers and mature fruits. Transient overexpression of <em>CpMADS47</em> in cherry fruit demonstrated its role in mediating fruit ripening and softening by promoting reduction in fruit firmness, anthocyanin accumulation, depolymerization of cell wall components, enhancement of cell wall degradation enzyme activity, and ABA biosynthesis. Conversely, silencing <em>CpMADS47</em> generated the opposite effect. Yeast one-hybrid and dual-luciferase assays revealed that the <em>CpMADS47</em> targets the promoters of cell wall degrading genes (<em>CpPME3</em> and <em>CpXTH31</em>) and ABA signal transduction genes (<em>CpPP2C12</em>), thereby activating their transcription and promoting cherry fruit ripening. In summary, this study enriches our understanding of the transcriptional regulation of fruit ripening and softening in Chinese cherry.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"219 ","pages":"Article 113287"},"PeriodicalIF":6.4,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dynamic finite element simulation of the collision behavior and multi-parameter quantitative characterization of the damage degree of banana fruit in the post-harvest operations 香蕉果实采后加工过程中碰撞行为的动态有限元模拟及损伤程度的多参数定量分析
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-29 DOI: 10.1016/j.postharvbio.2024.113284
Jie Guo , Zhou Yang , Manoj Karkee , Xiongzhe Han , Jieli Duan , Yong He
Squeezing, collision, friction and other behaviors are widely present in the post-harvest processing operations of bananas, such as field picking, de-handing, cleaning, packaging and transportation, which will inevitably cause a certain degree of mechanical damage to banana fruits. In view of the difficulty in accurately detecting and quantifying fruit damage in the early stage of production, this paper adopted dynamic finite element numerical simulation and multi-parameter optimization of response surface to carry out simulation analysis on the collision behavior of banana fruit in the post-harvest operations, and the accurate assessment and quantitative characterization of fruit damage degree and erosion rule were carried out. The three-dimensional solid model of banana was established by reverse engineering method based on 3D scanning technology. The multi-scale finite element model of banana was further established by combining the constitutive parameters of banana bunch obtained from quasi-static mechanical experiments. In this study, a total of 27 collision systems including different contact materials, collision angles and impact speeds were developed to quantitatively characterize the changing rules of contact force, equivalent stress, energy, damage volume and bruise susceptibility of fruit under different experimental scenarios. An empirical prediction model for banana fruit’s bruise susceptibility was established using response surface optimization methodology, and the comprehensive effects of contact material, collision angle and impact speed on fruit damage were obtained. On this basis, three dynamic collision systems including banana hand and impact panel were developed, and the generation region and erosion rule of equivalent stress of banana hand and impact panel under different encounter postures were further investigated. Finally, the physical verification experiments of banana impact and collision were carried out based on the characteristics of banana growth distribution and movement in the actual post-harvest operations. The experimental results showed that the prediction models of bruising susceptibility of banana fruit under different scenarios achieved a prediction accuracy of more than 80 %. The residual stress inside the banana hand under Posture_3 is the smallest (2.55e-2 MPa), and the maximum relative error between the predicted value and the experimental value of bruising susceptibility is less than 8.5 %. These results indicate that the multi-scale dynamic finite element model and the empirical prediction model of collision system for bananas are reasonable and correct, and the study have certain reference value for the numerical simulation and quantitative characterization of damage degree of other fruits and vegetables.
挤压、碰撞、摩擦等行为广泛存在于香蕉采后的田间采摘、去杂、清洗、包装、运输等加工作业中,不可避免地会对香蕉果实造成一定程度的机械损伤。鉴于生产初期果实损伤难以准确检测和定量,本文采用动态有限元数值模拟和响应面多参数优化方法,对香蕉果实在采后作业中的碰撞行为进行了仿真分析,对果实损伤程度和侵蚀规律进行了准确评估和定量表征。基于三维扫描技术,采用逆向工程方法建立了香蕉的三维实体模型。结合准静力学实验所获得的香蕉果串构成参数,进一步建立了香蕉的多尺度有限元模型。本研究共建立了 27 个碰撞系统,包括不同的接触材料、碰撞角度和碰撞速度,以定量表征不同实验场景下水果的接触力、等效应力、能量、损伤体积和挫伤敏感性的变化规律。利用响应面优化方法建立了香蕉果实挫伤敏感性的经验预测模型,并得出了接触材料、碰撞角度和冲击速度对果实损伤的综合影响。在此基础上,建立了包括香蕉手和冲击板在内的三个动态碰撞系统,并进一步研究了香蕉手和冲击板在不同相遇姿态下等效应力的产生区域和侵蚀规律。最后,根据实际收获后作业中香蕉生长分布和运动的特点,进行了香蕉冲击和碰撞的物理验证实验。实验结果表明,不同情况下香蕉果实挫伤敏感性预测模型的预测准确率达到 80% 以上。其中,Posture_3 条件下香蕉手掌内部的残余应力最小(2.55e-2 MPa),淤伤敏感性预测值与实验值之间的最大相对误差小于 8.5%。这些结果表明,香蕉碰撞系统的多尺度动态有限元模型和经验预测模型是合理和正确的,该研究对其他果蔬损伤程度的数值模拟和定量表征具有一定的参考价值。
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引用次数: 0
Enhanced detection of early bruises in apples using near-infrared hyperspectral imaging with geometrical influence correction for universal size adaptation 利用近红外高光谱成像技术,通过几何影响校正增强对苹果早期瘀伤的检测,从而实现普遍的尺寸适应性
IF 6.4 1区 农林科学 Q1 AGRONOMY Pub Date : 2024-10-29 DOI: 10.1016/j.postharvbio.2024.113282
Bin Li, Te Ma, Tetsuya Inagaki, Satoru Tsuchikawa
Near-infrared (NIR) imaging is effective in monitoring the optical property changes of fruit arising from mechanical damage. However, differences in fruit geometry and size severely limit the application of bruise detection solutions. By integrating NIR hyperspectral imaging (NIR-HSI) with geometrical influence correction (GIC), this paper presents a universal bruise enhancement and detection method for early-stage bruises inspection across apple cultivars with large size variations. HSI and shape data were collected via 360° rotational scanning of Sun Fuji, Shinano Sweet, and Esopus Spitzenburg apples before and during the first 24 h post-bruising. GIC was applied as a pretreatment method. For comparison, we applied whiteboard reflectance calibration (WRC) and WRC combined with the standard normal variate (SNV) approach. Using principal component analysis (PCA), a set of effective wavelength-loading coefficients for bruise enhancement was extracted across pooled datasets of average sound and bruise spectra from different samples. The optimal coefficients, determined using logistic regression, were applied uniformly across all HSI datasets for bruise enhancement. Finally, the local Otsu method combined with connected-domain screening was applied for bruise identification. Based on spectral analysis, PCA successfully extracted bruise-related wavelength coefficients with consistent trends across cultivars, facilitating universal bruise enhancement. GIC reduced shape-related interference, improving the use of the light scattering-related PC for bruise identification. GIC coupled with the universal enhancement emerged as the most effective method, consistently achieving the highest classification accuracy, superior identification accuracies for both central and edge bruises, and the earliest peak accuracy.
近红外成像技术可有效监测水果因机械损伤而产生的光学特性变化。然而,水果几何形状和大小的差异严重限制了挫伤检测解决方案的应用。通过将近红外高光谱成像(NIR-HSI)与几何影响校正(GIC)相结合,本文提出了一种通用的淤伤增强和检测方法,适用于对具有较大尺寸差异的苹果栽培品种进行早期淤伤检测。通过对 Sun Fuji、Shinano Sweet 和 Esopus Spitzenburg 苹果进行 360° 旋转扫描,收集了瘀伤前和瘀伤后 24 小时内的 HSI 和形状数据。采用 GIC 作为预处理方法。为了进行比较,我们采用了白板反射率校准(WRC)和 WRC 与标准正态变异(SNV)相结合的方法。通过主成分分析法(PCA),我们从不同样本的平均声谱和瘀斑光谱数据集中提取了一组用于增强瘀斑的有效波长加载系数。使用逻辑回归法确定的最佳系数被统一应用于所有恒星仪数据集,以增强瘀伤。最后,将局部大津法与连接域筛选相结合,用于瘀伤识别。基于光谱分析,PCA 成功提取了与瘀伤相关的波长系数,这些系数在不同栽培品种之间具有一致的趋势,从而促进了普遍的瘀伤增强。GIC 减少了与形状相关的干扰,提高了与光散射相关的 PC 在瘀伤鉴定中的应用。GIC 与通用增强技术相结合,成为最有效的方法,可持续获得最高的分类准确度,中心和边缘瘀伤的识别准确度更高,峰值准确度也最高。
{"title":"Enhanced detection of early bruises in apples using near-infrared hyperspectral imaging with geometrical influence correction for universal size adaptation","authors":"Bin Li,&nbsp;Te Ma,&nbsp;Tetsuya Inagaki,&nbsp;Satoru Tsuchikawa","doi":"10.1016/j.postharvbio.2024.113282","DOIUrl":"10.1016/j.postharvbio.2024.113282","url":null,"abstract":"<div><div>Near-infrared (NIR) imaging is effective in monitoring the optical property changes of fruit arising from mechanical damage. However, differences in fruit geometry and size severely limit the application of bruise detection solutions. By integrating NIR hyperspectral imaging (NIR-HSI) with geometrical influence correction (GIC), this paper presents a universal bruise enhancement and detection method for early-stage bruises inspection across apple cultivars with large size variations. HSI and shape data were collected via 360° rotational scanning of Sun Fuji, Shinano Sweet, and Esopus Spitzenburg apples before and during the first 24 h post-bruising. GIC was applied as a pretreatment method. For comparison, we applied whiteboard reflectance calibration (WRC) and WRC combined with the standard normal variate (SNV) approach. Using principal component analysis (PCA), a set of effective wavelength-loading coefficients for bruise enhancement was extracted across pooled datasets of average sound and bruise spectra from different samples. The optimal coefficients, determined using logistic regression, were applied uniformly across all HSI datasets for bruise enhancement. Finally, the local Otsu method combined with connected-domain screening was applied for bruise identification. Based on spectral analysis, PCA successfully extracted bruise-related wavelength coefficients with consistent trends across cultivars, facilitating universal bruise enhancement. GIC reduced shape-related interference, improving the use of the light scattering-related PC for bruise identification. GIC coupled with the universal enhancement emerged as the most effective method, consistently achieving the highest classification accuracy, superior identification accuracies for both central and edge bruises, and the earliest peak accuracy.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"219 ","pages":"Article 113282"},"PeriodicalIF":6.4,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142537259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Postharvest Biology and Technology
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