Pub Date : 2025-02-10DOI: 10.1016/j.postharvbio.2025.113417
Hong-Xiang Zhou , Run-Zhe Wang , Wen-Ting Luo , Yang Liang , Shi-Yu Liu , Juan Chen , Ji-Qing Peng , Yan-Xia Fan , Shu-Zhan Li , Chuan Guo , Zi-Qiang Zhang , Feng-Xia Shao , Song Sheng , Sen Wang
Jujube (Ziziphus jujuba Mill.), a ‘woody grain’ tree with medicinal and dietary uses, contains various vitamins, cyclic adenosine monophosphate, and essential trace elements. This study found that precipitation and temperature significantly contributed to jujube fruit cracking, with high temperatures and rainfall damaging the fruit epidermis and leading to swelling and cracking. The fruit bottom and surface areas were most prone to cracking. Differentially expressed gene analysis revealed 1957 DEGs between cracking-resistant and susceptible jujube cultivars, linked to cell wall structure, growth processes, and auxin transport. This suggests resistance may be due to modified cell wall properties, controlled cell growth, and regulated auxin transport. Applying amino acid solution at a concentration of 143 mg/L increased epidermal thickness and reduced the cracking rate by 37.5 %, showing significant anti-cracking effects.
{"title":"Enhancing fruit quality through unraveling the molecular and physiological basis and preventing cracking in jujube (Ziziphus jujuba Mill.)","authors":"Hong-Xiang Zhou , Run-Zhe Wang , Wen-Ting Luo , Yang Liang , Shi-Yu Liu , Juan Chen , Ji-Qing Peng , Yan-Xia Fan , Shu-Zhan Li , Chuan Guo , Zi-Qiang Zhang , Feng-Xia Shao , Song Sheng , Sen Wang","doi":"10.1016/j.postharvbio.2025.113417","DOIUrl":"10.1016/j.postharvbio.2025.113417","url":null,"abstract":"<div><div>Jujube (<em>Ziziphus jujuba</em> Mill.), a ‘woody grain’ tree with medicinal and dietary uses, contains various vitamins, cyclic adenosine monophosphate, and essential trace elements. This study found that precipitation and temperature significantly contributed to jujube fruit cracking, with high temperatures and rainfall damaging the fruit epidermis and leading to swelling and cracking. The fruit bottom and surface areas were most prone to cracking. Differentially expressed gene analysis revealed 1957 DEGs between cracking-resistant and susceptible jujube cultivars, linked to cell wall structure, growth processes, and auxin transport. This suggests resistance may be due to modified cell wall properties, controlled cell growth, and regulated auxin transport. Applying amino acid solution at a concentration of 143 mg/L increased epidermal thickness and reduced the cracking rate by 37.5 %, showing significant anti-cracking effects.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113417"},"PeriodicalIF":6.4,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377883","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}
Pub Date : 2025-02-10DOI: 10.1016/j.postharvbio.2025.113434
Jiangbo Li , Junyi Zhang , Mengwen Mei , Zhihua Diao , Xuetong Li , Ruiyao Shi , Zhonglei Cai
Bruising negatively affects the appearance and sensory quality of fruit, weakening their commercial value. Optical non-destructive testing of bruised fruit is an important research topic. However, the degree and formation time of bruising have a significant impact on detection accuracy, which poses a challenge for accurately detecting bruised fruit. This study attempted to use structured-illumination reflectance imaging (SIRI) to detect bruised pears with different degrees and formation times. Structured-illumination images of pears with three bruising levels (S1, S2 and S3) and five bruising formation times (0, 6, 24, 48 and 72 hours) were collected. Two machine learning models including texture feature-based least squares support vector machine (LS-SVM) and ResNet-18-based convolutional neural network (CNN) were established using different input images (DC, AC, RT, DC-AC and DC-AC-RT). Study indicated that AC and RT images have depth resolution capability, achieving good results for detecting pear bruises within 24 hours combining with two types of models, showing that the powerful detection capability of SIRI technology for early bruising. Compared to LS-SVM model, the ResNet-18-based CNN model obtained better detection performance, and its detection accuracy was not significantly affected by the bruising degree and formation time. For all samples, ResNet-18-based CNN model, combined with AC and RT images, achieved an overall detection accuracy of 92.5 % and 94.3 %, respectively. This study provided a valuable solution for accurate identification of bruised pears with varying bruising degrees and times.
{"title":"Detection of bruising in pear with varying bruising degrees and formation times by using SIRI technique combining with texture feature-based LS-SVM and ResNet-18-based CNN model","authors":"Jiangbo Li , Junyi Zhang , Mengwen Mei , Zhihua Diao , Xuetong Li , Ruiyao Shi , Zhonglei Cai","doi":"10.1016/j.postharvbio.2025.113434","DOIUrl":"10.1016/j.postharvbio.2025.113434","url":null,"abstract":"<div><div>Bruising negatively affects the appearance and sensory quality of fruit, weakening their commercial value. Optical non-destructive testing of bruised fruit is an important research topic. However, the degree and formation time of bruising have a significant impact on detection accuracy, which poses a challenge for accurately detecting bruised fruit. This study attempted to use structured-illumination reflectance imaging (SIRI) to detect bruised pears with different degrees and formation times. Structured-illumination images of pears with three bruising levels (S1, S2 and S3) and five bruising formation times (0, 6, 24, 48 and 72 hours) were collected. Two machine learning models including texture feature-based least squares support vector machine (LS-SVM) and ResNet-18-based convolutional neural network (CNN) were established using different input images (DC, AC, RT, DC-AC and DC-AC-RT). Study indicated that AC and RT images have depth resolution capability, achieving good results for detecting pear bruises within 24 hours combining with two types of models, showing that the powerful detection capability of SIRI technology for early bruising. Compared to LS-SVM model, the ResNet-18-based CNN model obtained better detection performance, and its detection accuracy was not significantly affected by the bruising degree and formation time. For all samples, ResNet-18-based CNN model, combined with AC and RT images, achieved an overall detection accuracy of 92.5 % and 94.3 %, respectively. This study provided a valuable solution for accurate identification of bruised pears with varying bruising degrees and times.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113434"},"PeriodicalIF":6.4,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377868","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}
Pub Date : 2025-02-10DOI: 10.1016/j.postharvbio.2025.113422
Yueying Sang , Lijuan Lin , Hongyi Wen , Yixiong Lin , Mengshi Lin , Yihui Chen , Hui Wang , Zhongqi Fan , Yifen Lin , Hetong Lin
This research aimed to compare the fruit storability and quality differences between the ‘Fuyan’ and ‘Dongbi’ varieties of longan (Dimocarpus longan Lour.) by assaying their antioxidant system and disease defense systems. The results showed that, compared to ‘Fuyan’ fruit, during storage, ‘Dongbi’ fruit exhibited superior storability and appearance, characterized by lower levels of fruit disease, pulp breakdown, pericarp browning, and weight loss, alongside higher pericarp color, brightness, pigments, pulp nutrient content, and commercial acceptability of fruit. Additionally, ‘Dongbi’ longans exhibited lower ROS accumulation and MDA level, higher levels of antioxidants (AsA, GSH), antioxidant enzymes (SOD, CAT, APX), reducing power, and DPPH• scavenging ability. Besides, ‘Dongbi’ longans retained higher levels of secondary metabolites (lignin, total phenolics, flavonoid), PRMEs (PAL, C4H, 4-CL, CAD, POD), and PRs (CHI, GLU). Therefore, the enhanced storage stability of ‘Dongbi’ longans may be attributed to the synergistic effects of an improved antioxidant system, phenylpropanoid pathway, and PRs.
{"title":"Comparative analysis in postharvest storability, quality attributes, antioxidant activity, and disease defense systems in ‘Fuyan’ and ‘Dongbi’ longans during storage","authors":"Yueying Sang , Lijuan Lin , Hongyi Wen , Yixiong Lin , Mengshi Lin , Yihui Chen , Hui Wang , Zhongqi Fan , Yifen Lin , Hetong Lin","doi":"10.1016/j.postharvbio.2025.113422","DOIUrl":"10.1016/j.postharvbio.2025.113422","url":null,"abstract":"<div><div>This research aimed to compare the fruit storability and quality differences between the ‘Fuyan’ and ‘Dongbi’ varieties of longan (<em>Dimocarpus longan</em> Lour.) by assaying their antioxidant system and disease defense systems. The results showed that, compared to ‘Fuyan’ fruit, during storage, ‘Dongbi’ fruit exhibited superior storability and appearance, characterized by lower levels of fruit disease, pulp breakdown, pericarp browning, and weight loss, alongside higher pericarp color, brightness, pigments, pulp nutrient content, and commercial acceptability of fruit. Additionally, ‘Dongbi’ longans exhibited lower ROS accumulation and MDA level, higher levels of antioxidants (AsA, GSH), antioxidant enzymes (SOD, CAT, APX), reducing power, and DPPH• scavenging ability. Besides, ‘Dongbi’ longans retained higher levels of secondary metabolites (lignin, total phenolics, flavonoid), PRMEs (PAL, C4H, 4-CL, CAD, POD), and PRs (CHI, GLU). Therefore, the enhanced storage stability of ‘Dongbi’ longans may be attributed to the synergistic effects of an improved antioxidant system, phenylpropanoid pathway, and PRs.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113422"},"PeriodicalIF":6.4,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377885","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}
'Orri' mandarin is the main citrus variety grown and exported from Israel. In the current study, we assessed the potential of utilizing large-scale preharvest and commercial packinghouse data to predict the postharvest storage performances of different sets of 'Orri' mandarins. For that purpose, we examined during 3 years (2022–2024), the postharvest performances of between 79 and 93 sets of 'Orri' mandarins per year after 2, 4 and 8 weeks storage at 5 °C and one-week at shelf life at 22 °C. The observed preharvest data consisted climatic features (amounts of rain and warm days) and horticultural features (harvest time, tree age, yield, and soil type), and the observed packinghouse data consisted ripening features (total soluble solids, acidity and juice contents) and packing line quality evaluation features (occurrences of various defects and packaging rates). Consolidating the observed preharvest and packinghouse data with the postharvest storage data using machine learning algorithms, allowed the prediction of decay percentages by an R2 of 0.60 and RMSE of 10.56 %, and of fruit quality acceptance score by an R2 of 0.74 and RMSE of 0.57 on a quality scale from 1 (very bad) to 5 (excellent). The development of fruit quality prediction models based on preharvest and packinghouse data can assist in the future implementation of intelligent logistic management system that will allow to direct specific fruit sets to different market destinations based on their predicted shelf life's, thus assuring that only high-quality produce will arrive at the recipient markets.
{"title":"Utilizing preharvest and packinghouse data in combination with storage trials to develop an intelligent logistic management system for 'Orri' mandarins","authors":"Abiola Owoyemi , Moria Balaklav , Ron Porat , Amnon Lichter , Aviv Goren , Noam Koenigstein , Yael Salzer","doi":"10.1016/j.postharvbio.2025.113452","DOIUrl":"10.1016/j.postharvbio.2025.113452","url":null,"abstract":"<div><div>'Orri' mandarin is the main citrus variety grown and exported from Israel. In the current study, we assessed the potential of utilizing large-scale preharvest and commercial packinghouse data to predict the postharvest storage performances of different sets of 'Orri' mandarins. For that purpose, we examined during 3 years (2022–2024), the postharvest performances of between 79 and 93 sets of 'Orri' mandarins per year after 2, 4 and 8 weeks storage at 5 °C and one-week at shelf life at 22 °C. The observed preharvest data consisted climatic features (amounts of rain and warm days) and horticultural features (harvest time, tree age, yield, and soil type), and the observed packinghouse data consisted ripening features (total soluble solids, acidity and juice contents) and packing line quality evaluation features (occurrences of various defects and packaging rates). Consolidating the observed preharvest and packinghouse data with the postharvest storage data using machine learning algorithms, allowed the prediction of decay percentages by an R<sup>2</sup> of 0.60 and RMSE of 10.56 %, and of fruit quality acceptance score by an R<sup>2</sup> of 0.74 and RMSE of 0.57 on a quality scale from 1 (very bad) to 5 (excellent). The development of fruit quality prediction models based on preharvest and packinghouse data can assist in the future implementation of intelligent logistic management system that will allow to direct specific fruit sets to different market destinations based on their predicted shelf life's, thus assuring that only high-quality produce will arrive at the recipient markets.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113452"},"PeriodicalIF":6.4,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377227","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}
Pub Date : 2025-02-10DOI: 10.1016/j.postharvbio.2025.113429
Qiqi Yang , Xianzhe Zheng , Xu Fang , Qiongdan Zhang , Jie Deng , Jiarui Han , Chan Xu , Qiaoli Xie , Wei Deng
During the postharvest storage of tomato fruits, they often shrink or even rot due to water loss or infection by pathogenic bacteria, leading to significant economic losses in the tomato fruit industry. Inositol monophosphatase (IMP) is involved in inositol synthesis, which serves as a precursor for the synthesis of cell wall polysaccharides and is also involved in ascorbic acid synthesis. Overexpression of SlIMP3 in tomato has been shown to delay fruit softening, but the mechanism by which SlIMP3 regulates fruit softening remains unclear. In this study, the transcriptome and metabolome of wild-type tomato fruit (WT) and SlIMP3 overexpressing tomato fruit were thoroughly analyzed at 0, 15 and 26 days of storage. A total of 83 differential metabolites were identified, and more than 2000 genes exhibited changes during storage and in SlIMP3-OE tomato fruits. KEGG pathway enrichment analysis revealed that the differential genes were mainly related to metabolic pathways and the biosynthesis of secondary metabolites. Metabolome analysis showed that various sugars (lythreon, glucose, cellobiose, allulose, etc.) and antioxidants (melatonin, 3,4-dihydroxymandelic acid, dihydroquercetin, salicylic acid) underwent significant changes during storage. Significantly, most genes associated with cell wall degradation (SlEXP1, SlPL, SlPG2, SlTBG4, SlXYL1, SlXTH5) were downregulated in SlIMP3-OE compared to the wild type. Two-omics analysis indicated that overexpression of SlIMP3 regulated the accumulation of many carbohydrates and antioxidants and the expression of related anabolic genes during storage of tomato fruits. In conclusion, overexpression of SlIMP3 affects tomato fruit softening through the modulation of carbohydrate and antioxidant metabolism, concurrently regulating the expression of genes associated with cell wall metabolism. This study provides new theoretical insights and potential methods for improving fruit quality and reducing postharvest loss.
{"title":"Overexpression of SlIMP3 regulates sugar metabolism, antioxidant activity, and fruit softening, leading to extended shelf life of tomato fruits","authors":"Qiqi Yang , Xianzhe Zheng , Xu Fang , Qiongdan Zhang , Jie Deng , Jiarui Han , Chan Xu , Qiaoli Xie , Wei Deng","doi":"10.1016/j.postharvbio.2025.113429","DOIUrl":"10.1016/j.postharvbio.2025.113429","url":null,"abstract":"<div><div>During the postharvest storage of tomato fruits, they often shrink or even rot due to water loss or infection by pathogenic bacteria, leading to significant economic losses in the tomato fruit industry. Inositol monophosphatase (IMP) is involved in inositol synthesis, which serves as a precursor for the synthesis of cell wall polysaccharides and is also involved in ascorbic acid synthesis. Overexpression of <em>SlIMP3</em> in tomato has been shown to delay fruit softening, but the mechanism by which <em>SlIMP3</em> regulates fruit softening remains unclear. In this study, the transcriptome and metabolome of wild-type tomato fruit (WT) and <em>SlIMP3</em> overexpressing tomato fruit were thoroughly analyzed at 0, 15 and 26 days of storage. A total of 83 differential metabolites were identified, and more than 2000 genes exhibited changes during storage and in <em>SlIMP3</em>-OE tomato fruits. KEGG pathway enrichment analysis revealed that the differential genes were mainly related to metabolic pathways and the biosynthesis of secondary metabolites. Metabolome analysis showed that various sugars (lythreon, glucose, cellobiose, allulose, etc.) and antioxidants (melatonin, 3,4-dihydroxymandelic acid, dihydroquercetin, salicylic acid) underwent significant changes during storage. Significantly, most genes associated with cell wall degradation (<em>SlEXP1</em>, <em>SlPL</em>, <em>SlPG2</em>, <em>SlTBG4</em>, <em>SlXYL1</em>, <em>SlXTH5</em>) were downregulated in <em>SlIMP3</em>-OE compared to the wild type. Two-omics analysis indicated that overexpression of <em>SlIMP3</em> regulated the accumulation of many carbohydrates and antioxidants and the expression of related anabolic genes during storage of tomato fruits. In conclusion, overexpression of <em>SlIMP3</em> affects tomato fruit softening through the modulation of carbohydrate and antioxidant metabolism, concurrently regulating the expression of genes associated with cell wall metabolism. This study provides new theoretical insights and potential methods for improving fruit quality and reducing postharvest loss.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113429"},"PeriodicalIF":6.4,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377882","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}
Pub Date : 2025-02-06DOI: 10.1016/j.postharvbio.2025.113443
Xiaomin Yang , Fang Zhang , Jiayi Wang , Changping Tian , Xianghong Meng
Gray mold is a fungal disease with high incidence and great economic loss caused by Botrytis cinerea. Here, it was found that the cell-free supernatant (CFS) derived from Bacillus velezensis YTQ3 reduced the mycelial growth and spore germination of the B. cinerea in a dose-dependent manner. Further examination using scanning electron microscopy disclosed the deformation and collapse of the B. cinerea mycelial structure. CFS could also effectively control gray mold of three kinds of fruit. It is worth pointing out that the application of CFS did not adversely affect fruit quality. Moreover, the CFS was resistant to extreme temperatures, acidic and alkaline conditions, ultraviolet light, and proteases. To gain further insights into the potential secondary metabolites produced by B. velezensis YTQ3, the complete genome of the YTQ3 strain was sequenced. Genome analysis revealed 14 biosynthetic secondary metabolite gene clusters responsible for polypeptides, polyketides, bacteriocin, and terpenes. Notably, the lipopeptide compound extracted from CFS significantly restrained the B. cinerea growth, and the main inhibitory substance was identified as surfactin and fengycin by liquid chromatography-mass spectrometry (LC-MS). These findings suggest that strain YTQ3 holds promise as a prospective agricultural biocontrol agent and a resource for further developing antifungal compounds.
{"title":"Characterization of Bacillus velezensis YTQ3 as a potential biocontrol agent against Botrytis cinerea","authors":"Xiaomin Yang , Fang Zhang , Jiayi Wang , Changping Tian , Xianghong Meng","doi":"10.1016/j.postharvbio.2025.113443","DOIUrl":"10.1016/j.postharvbio.2025.113443","url":null,"abstract":"<div><div>Gray mold is a fungal disease with high incidence and great economic loss caused by <em>Botrytis cinerea</em>. Here, it was found that the cell-free supernatant (CFS) derived from <em>Bacillus velezensis</em> YTQ3 reduced the mycelial growth and spore germination of the <em>B. cinerea</em> in a dose-dependent manner. Further examination using scanning electron microscopy disclosed the deformation and collapse of the <em>B. cinerea</em> mycelial structure. CFS could also effectively control gray mold of three kinds of fruit. It is worth pointing out that the application of CFS did not adversely affect fruit quality. Moreover, the CFS was resistant to extreme temperatures, acidic and alkaline conditions, ultraviolet light, and proteases. To gain further insights into the potential secondary metabolites produced by <em>B. velezensis</em> YTQ3, the complete genome of the YTQ3 strain was sequenced. Genome analysis revealed 14 biosynthetic secondary metabolite gene clusters responsible for polypeptides, polyketides, bacteriocin, and terpenes. Notably, the lipopeptide compound extracted from CFS significantly restrained the <em>B. cinerea</em> growth, and the main inhibitory substance was identified as surfactin and fengycin by liquid chromatography-mass spectrometry (LC-MS). These findings suggest that strain YTQ3 holds promise as a prospective agricultural biocontrol agent and a resource for further developing antifungal compounds.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113443"},"PeriodicalIF":6.4,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143323747","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}
Pub Date : 2025-02-06DOI: 10.1016/j.postharvbio.2025.113444
Yuanyuan Hou , Wanyu Yan , Rui Deng , Jiayi Wang , Yu Wang , Liang Wang , Jun Xing , Peng Jin , Yating Zhao
Prune fruit tends to chilling injury (CI) under refrigeration after harvest, causing a remarkable quality decline. The L-glutamate (L-Glu) has been confirmed to be involved in regulating chilling resistance in postharvest prune fruit, but the underlying molecular mechanisms remain unknown. In this work, we found that L-Glu application mitigated the CI of prunes under refrigeration, accompanied by lower levels of ROS, internal browning index, malondialdehyde (MDA) content, as well as higher soluble sugar content, amino acids content, total phenolic content, flavone content. Furthermore, metabolomic and transcriptomic analyses were conducted to comprehensively reveal the variations of metabolic and transcriptional in prune fruit during CI development. In total, 490 differentially accumulated metabolites (DAMs) and 6831 differentially expressed genes (DEGs) were identified, and these DAMs and DEGs were mainly enriched in the biosynthesis of amino acids and secondary metabolites pathways. Moreover, the weighted correlation network analysis (WGCNA) was performed to establish a gene-metabolite correlation network, which uncovered the crucial transcription factors, structural genes, and metabolites correlated to amino acids and phenolics biosynthesis pathways of prune fruit regulated by L-Glu during CI development. Overall, these results implied that L-Glu could trigger the amino acids and phenolic synthesis pathways to attenuate CI of prune fruit, which supplies new information on the regulatory mechanism of L-Glu-improved chilling resistance of postharvest prunes.
{"title":"Multi-omics analysis reveals the role of L-Glutamate in regulating cold tolerance of postharvest prune fruit","authors":"Yuanyuan Hou , Wanyu Yan , Rui Deng , Jiayi Wang , Yu Wang , Liang Wang , Jun Xing , Peng Jin , Yating Zhao","doi":"10.1016/j.postharvbio.2025.113444","DOIUrl":"10.1016/j.postharvbio.2025.113444","url":null,"abstract":"<div><div>Prune fruit tends to chilling injury (CI) under refrigeration after harvest, causing a remarkable quality decline. The L-glutamate (L-Glu) has been confirmed to be involved in regulating chilling resistance in postharvest prune fruit, but the underlying molecular mechanisms remain unknown. In this work, we found that L-Glu application mitigated the CI of prunes under refrigeration, accompanied by lower levels of ROS, internal browning index, malondialdehyde (MDA) content, as well as higher soluble sugar content, amino acids content, total phenolic content, flavone content. Furthermore, metabolomic and transcriptomic analyses were conducted to comprehensively reveal the variations of metabolic and transcriptional in prune fruit during CI development. In total, 490 differentially accumulated metabolites (DAMs) and 6831 differentially expressed genes (DEGs) were identified, and these DAMs and DEGs were mainly enriched in the biosynthesis of amino acids and secondary metabolites pathways. Moreover, the weighted correlation network analysis (WGCNA) was performed to establish a gene-metabolite correlation network, which uncovered the crucial transcription factors, structural genes, and metabolites correlated to amino acids and phenolics biosynthesis pathways of prune fruit regulated by L-Glu during CI development. Overall, these results implied that L-Glu could trigger the amino acids and phenolic synthesis pathways to attenuate CI of prune fruit, which supplies new information on the regulatory mechanism of L-Glu-improved chilling resistance of postharvest prunes.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113444"},"PeriodicalIF":6.4,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143323746","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}
Pub Date : 2025-02-05DOI: 10.1016/j.postharvbio.2025.113432
Hubo Li , Kai Zhu , Xiaomin Wang , Shitao Sun , Jiahui Fang , Junguang He , Qinghui Han , Guangwu Zhao
Sweet corn, widely consumed as a vegetable or fruit for its sweetness and nutrition, depends on the cold chain for preservation. Although refrigerated storage effectively extends shelf life, the long-term exposure to low temperature may degrade its quality and taste, and the current storage duration also requires improvement, highlighting the urgent need to innovate preservation techniques for existing methods. This study examines the effectiveness of sodium alginate coating (SAC) at varying concentrations (0.5 %, 1 %, and 1.5 %) in prolonging the shelf life of sweet corn during low temperature storage. Research findings indicate that 1 % SAC, the optimal concentration for alleviating kernel shrinkage and browning while preserving fine texture and sweetness, can extend the 4 °C storage shelf life of sweet corn by 6 days. RNA sequencing and physiological assays indicate that SAC maintains the storage quality of sweet corn by regulating phenylpropanoid biosynthesis, starch and sucrose metabolism, glycolysis, pyruvate metabolism, and antioxidant capacity. This regulatory effect may be mediated by enhanced gibberellin synthesis and the suppression of O-glucosylation of dihydrozeatin and cis-zeatin. This study concludes that 1 % SAC enhances the quality of sweet corn during low temperature storage by modulating metabolic responses via key hormonal pathways, providing a promising strategy for postharvest management.
{"title":"Sodium alginate coating improves refrigerated sweet corn quality: Hormonal and metabolic responses","authors":"Hubo Li , Kai Zhu , Xiaomin Wang , Shitao Sun , Jiahui Fang , Junguang He , Qinghui Han , Guangwu Zhao","doi":"10.1016/j.postharvbio.2025.113432","DOIUrl":"10.1016/j.postharvbio.2025.113432","url":null,"abstract":"<div><div>Sweet corn, widely consumed as a vegetable or fruit for its sweetness and nutrition, depends on the cold chain for preservation. Although refrigerated storage effectively extends shelf life, the long-term exposure to low temperature may degrade its quality and taste, and the current storage duration also requires improvement, highlighting the urgent need to innovate preservation techniques for existing methods. This study examines the effectiveness of sodium alginate coating (SAC) at varying concentrations (0.5 %, 1 %, and 1.5 %) in prolonging the shelf life of sweet corn during low temperature storage. Research findings indicate that 1 % SAC, the optimal concentration for alleviating kernel shrinkage and browning while preserving fine texture and sweetness, can extend the 4 °C storage shelf life of sweet corn by 6 days. RNA sequencing and physiological assays indicate that SAC maintains the storage quality of sweet corn by regulating phenylpropanoid biosynthesis, starch and sucrose metabolism, glycolysis, pyruvate metabolism, and antioxidant capacity. This regulatory effect may be mediated by enhanced gibberellin synthesis and the suppression of O-glucosylation of dihydrozeatin and cis-zeatin. This study concludes that 1 % SAC enhances the quality of sweet corn during low temperature storage by modulating metabolic responses via key hormonal pathways, providing a promising strategy for postharvest management.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113432"},"PeriodicalIF":6.4,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143323376","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}
Pub Date : 2025-02-04DOI: 10.1016/j.postharvbio.2025.113426
Jing Qian , Ying Zhao , Wenjing Yan , Jianhao Zhang , Jin Wang
To enhance the preservation of fresh strawberries and promote innovation in preservation technology, plasma-activated salicylic acid was combined with in-package dielectric barrier discharge plasma (PASA-DBD). Effects of combined plasma technology on strawberries were elucidated from the perspectives of phenylpropane metabolism, reactive oxygen metabolism, antioxidant capacity, and gray mold control. The results showed that PASA-DBD treatment slowed down the senescence of the strawberries, significantly increased the total phenol, anthocyanin, and total flavonoid content during storage, reduced the malondialdehyde and H2O2 content, and significantly enhanced the antioxidant enzyme (superoxide dismutase, catalase, ascorbate peroxidase) activity. Additionally, PASA-DBD treatments could reduce the incidence of gray mold and strengthen the resistance of strawberries, exhibiting by the increase in the chitinase activity and β-1,3-glucanase activity. This study contributes in exploring new preservation techniques of strawberries in postharvest.
{"title":"Improvement of antioxidant capacity and gray mold resistance of strawberries by combined plasma technology","authors":"Jing Qian , Ying Zhao , Wenjing Yan , Jianhao Zhang , Jin Wang","doi":"10.1016/j.postharvbio.2025.113426","DOIUrl":"10.1016/j.postharvbio.2025.113426","url":null,"abstract":"<div><div>To enhance the preservation of fresh strawberries and promote innovation in preservation technology, plasma-activated salicylic acid was combined with in-package dielectric barrier discharge plasma (PASA-DBD). Effects of combined plasma technology on strawberries were elucidated from the perspectives of phenylpropane metabolism, reactive oxygen metabolism, antioxidant capacity, and gray mold control. The results showed that PASA-DBD treatment slowed down the senescence of the strawberries, significantly increased the total phenol, anthocyanin, and total flavonoid content during storage, reduced the malondialdehyde and H<sub>2</sub>O<sub>2</sub> content, and significantly enhanced the antioxidant enzyme (superoxide dismutase, catalase, ascorbate peroxidase) activity. Additionally, PASA-DBD treatments could reduce the incidence of gray mold and strengthen the resistance of strawberries, exhibiting by the increase in the chitinase activity and <em>β</em>-1,3-glucanase activity. This study contributes in exploring new preservation techniques of strawberries in postharvest.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113426"},"PeriodicalIF":6.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104035","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}
Pub Date : 2025-02-04DOI: 10.1016/j.postharvbio.2025.113428
Yaoxing Niu, Lixia Ye, Yubing Shi, Huina Gu, Anwei Luo
The perishability and microbial contamination of fresh kiwifruit reduce its shelf-life, and the thick skin and deep color make it challenging for consumers and merchants to assess its freshness visually, resulting in losses. Relevant predictive models are crucial in minimizing losses by quickly determining the shelf-life. The appearance, physiological and biochemical properties, and microbial populations of kiwifruit stored under different temperatures were assessed through simulated storage. Shelf-life prediction models were developed based on deterioration quality using a combination of dynamic and Arrhenius equations, as well as total mold and yeast changes using a combination of the Gompertz model and Belehradek equation. Furthermore, a shelf-life prediction program was established for both types of models using Python, and the accuracy of the models was validated and compared. The results indicated that the quality index based on the zero-order kinetic model fits better. The average relative errors of the shelf-life prediction model were all below 10 % except for the weight loss, and the prediction accuracy of the model based on L* was the highest. The average relative error in the shelf-life prediction model based on total mold and yeast count was within 25 %. This study can provide theoretical support for developing shelf-life prediction models and reducing postharvest losses of kiwifruit.
{"title":"Development of shelf-life prediction models and programs for 'Xuxiang' kiwifruit stored at different temperatures","authors":"Yaoxing Niu, Lixia Ye, Yubing Shi, Huina Gu, Anwei Luo","doi":"10.1016/j.postharvbio.2025.113428","DOIUrl":"10.1016/j.postharvbio.2025.113428","url":null,"abstract":"<div><div>The perishability and microbial contamination of fresh kiwifruit reduce its shelf-life, and the thick skin and deep color make it challenging for consumers and merchants to assess its freshness visually, resulting in losses. Relevant predictive models are crucial in minimizing losses by quickly determining the shelf-life. The appearance, physiological and biochemical properties, and microbial populations of kiwifruit stored under different temperatures were assessed through simulated storage. Shelf-life prediction models were developed based on deterioration quality using a combination of dynamic and Arrhenius equations, as well as total mold and yeast changes using a combination of the Gompertz model and Belehradek equation. Furthermore, a shelf-life prediction program was established for both types of models using Python, and the accuracy of the models was validated and compared. The results indicated that the quality index based on the zero-order kinetic model fits better. The average relative errors of the shelf-life prediction model were all below 10 % except for the weight loss, and the prediction accuracy of the model based on L* was the highest. The average relative error in the shelf-life prediction model based on total mold and yeast count was within 25 %. This study can provide theoretical support for developing shelf-life prediction models and reducing postharvest losses of kiwifruit.</div></div>","PeriodicalId":20328,"journal":{"name":"Postharvest Biology and Technology","volume":"223 ","pages":"Article 113428"},"PeriodicalIF":6.4,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143104034","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}
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