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学者姓名：钟凤林
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Abstract ：
Tomato (Solanum lycopersicum L.) is a major economic vegetable crop globally, yet it is prone to gray mold disease caused by Botrytis cinerea infection during cultivation. Caffeoyl shikimate esterase (CSE) is a crucial component of the lignin biosynthesis pathway, which significantly contributes to plant stress resistance. Therefore, investigating the expression patterns of SlCSE after Botrytis cinerea infection may offer a theoretical foundation for breeding resistant tomato varieties. In this study, 11 SlCSE family members were identified from the tomato genome using bioinformatics analyses. Public transcriptome databases and RT-qPCR experiments were used to analyze gene expression in tomato tissues, responses to Botrytis cinerea infection, and the temporal characteristics of the response to 2-ethylfuran treatment during infection. These experiments resulted in the identification of the key gene SlCSE06. Transgenic tomato lines that overexpressed SlCSE06 were constructed to examine their resistance levels to gray mold disease. Many SlCSE genes were upregulated when tomato fruit were infected with Botrytis cinerea during the ripening stage. Furthermore, 24 h after treatment with 2-ethylfuran, most SlCSE genes exhibited increased expression levels compared with the control group, but they exhibited significantly lower levels at other time points. Thus, 2-ethylfuran treatment may enhance the responsiveness of SlCSEs. Based on this research, SlCSE06 was identified as the key gene involved in the response to Botrytis cinerea infection. The SlCSE06-overexpressing (OE6) tomato plants exhibited a 197.94% increase in expression levels compared to the wild type (WT). Furthermore, the lignin content in OE6 was significantly higher than in WT, suggesting that the overexpression of SlCSE06 enhanced lignin formation in tomato plants. At 5 days post-inoculation with Botrytis cinerea, the lesion diameter in OE6 decreased by 31.88% relative to the WT, whereas the lignin content increased by 370.90%. Furthermore, the expression level of SlCSE06 was significantly upregulated, showing a 17.08-fold increase compared with the WT. These findings suggest that 2-ethylfuran enhances the activation of the critical tomato disease resistance gene SlCSE06 in response to gray mold stress, thereby promoting lignin deposition to mitigate further infection by Botrytis cinerea.
Keyword ：
2-ethylfuran 2-ethylfuran Botrytis cinerea Botrytis cinerea caffeoyl shikimate esterase caffeoyl shikimate esterase tomato tomato
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| GB/T 7714 | Ye, Huilan , Gao, Hongdou , Li, Jinnian et al. Mitigating Response of SlCSE06 Induced by 2-Ethylfuran to Botrytis cinerea Infection [J]. | PLANTS-BASEL , 2025 , 14 (4) . |
| MLA | Ye, Huilan et al. "Mitigating Response of SlCSE06 Induced by 2-Ethylfuran to Botrytis cinerea Infection" . | PLANTS-BASEL 14 . 4 (2025) . |
| APA | Ye, Huilan , Gao, Hongdou , Li, Jinnian , Lu, Linye , Zheng, Shilan , Wu, Chengxin et al. Mitigating Response of SlCSE06 Induced by 2-Ethylfuran to Botrytis cinerea Infection . | PLANTS-BASEL , 2025 , 14 (4) . |
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Effective weed management is essential for protecting crop yields in cotton production, yet conventional deep learning approaches often falter in detecting small or occluded weeds and can be restricted by large parameter counts. To tackle these challenges, we propose YOLO-ACE, an advanced extension of YOLOv5s, which was selected for its optimal balance of accuracy and speed, making it well suited for agricultural applications. YOLO-ACE integrates a Context Augmentation Module (CAM) and Selective Kernel Attention (SKAttention) to capture multi-scale features and dynamically adjust the receptive field, while a decoupled detection head separates classification from bounding box regression, enhancing overall efficiency. Experiments on the CottonWeedDet12 (CWD12) dataset show that YOLO-ACE achieves notable mAP@0.5 and mAP@0.5:0.95 scores-95.3% and 89.5%, respectively-surpassing previous benchmarks. Additionally, we tested the model's transferability and generalization across different crops and environments using the CropWeed dataset, where it achieved a competitive mAP@0.5 of 84.3%, further showcasing its robust ability to adapt to diverse conditions. These results confirm that YOLO-ACE combines precise detection with parameter efficiency, meeting the exacting demands of modern cotton weed management.
Keyword ：
attention mechanism attention mechanism deep learning deep learning weed detection weed detection YOLOv5s YOLOv5s
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| GB/T 7714 | Zhou, Qi , Li, Huicheng , Cai, Zhiling et al. YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection [J]. | SENSORS , 2025 , 25 (5) . |
| MLA | Zhou, Qi et al. "YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection" . | SENSORS 25 . 5 (2025) . |
| APA | Zhou, Qi , Li, Huicheng , Cai, Zhiling , Zhong, Yiwen , Zhong, Fenglin , Lin, Xiaoyu et al. YOLO-ACE: Enhancing YOLO with Augmented Contextual Efficiency for Precision Cotton Weed Detection . | SENSORS , 2025 , 25 (5) . |
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Key messageGA participates in FR light-induced internode elongation of cucumber by regulating the expression of genes/proteins related to aquaporins, expansins, cell wall biosynthesis, hormone metabolism, and signal transduction.AbstractThis study investigated the effects of the interaction between far-red (FR) light and gibberellin (GA) on the internode elongation of cucumber (Cucumis sativus L. 'Zhongnong No. 26') seedlings through combined physiological, biochemical, transcriptomic, and proteomic analyses. The results revealed that FR light and GA significantly promoted internode elongation in cucumber seedlings, whereas a GA biosynthesis inhibitor (PAC) inhibited the promoting effect of FR light. Hormone content determination revealed that FR light and GA decreased the contents of abscisic acid (ABA), indole-3-acetic acid (IAA), cytokinin (CTK), and jasmonate (JA) in cucumber seedling internodes. Bioinformatics analysis revealed that the expression patterns of the Co-DEGs and Co-DEPs were consistent in the FR (WL combined with FR light) and WLG (WL, in which plants were sprayed GA) groups, as well as in the FRP (FR, in which plants were sprayed PAC) and WL (full-spectrum LED white light) groups, suggesting that the mechanisms of FR and GA were similar in these Co-DEGs and Co-DEPs. Further analysis of these Co-DEGs and Co-DEPs revealed that they were involved mainly in cell wall biosynthesis and modification, lignin synthesis, hormone metabolism, and signal transduction pathways. In conclusion, this study revealed the important role of GA in FR light-induced internode elongation in cucumber seedlings, and this promoting effect was achieved mainly through the regulation of aquaporins, expansins, hormone metabolism, and signal transduction-related genes/proteins. This study provides new insights into the molecular mechanism of FR light-induced internode elongation in cucumber seedlings.
Keyword ：
Cucumber Cucumber Far-red light Far-red light Gibberellin Gibberellin Internode Internode Proteome Proteome Transcriptome Transcriptome
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| GB/T 7714 | Li, Shuhao , Xu, Yang , Tian, Jun et al. Multiomics analysis of gibberellin involved in far-red light-regulated internode elongation in cucumber seedlings [J]. | PLANT CELL REPORTS , 2025 , 44 (10) . |
| MLA | Li, Shuhao et al. "Multiomics analysis of gibberellin involved in far-red light-regulated internode elongation in cucumber seedlings" . | PLANT CELL REPORTS 44 . 10 (2025) . |
| APA | Li, Shuhao , Xu, Yang , Tian, Jun , Zheng, Hanbing , Sun, Ji , Wu, Haitao et al. Multiomics analysis of gibberellin involved in far-red light-regulated internode elongation in cucumber seedlings . | PLANT CELL REPORTS , 2025 , 44 (10) . |
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Gray mold is one of the major diseases affecting tomato production. Its early symptoms are often inconspicuous, yet the disease spreads rapidly, leading to severe economic losses. Therefore, the development of efficient and non-destructive early detection technologies is of critical importance. At present, multispectral imaging-based detection methods are constrained by two major bottlenecks: limited sample size and single modality, which hinder precise recognition at the early stage of infection. To address these challenges, this study explores a detection approach integrating multispectral fluorescence and reflectance imaging, combined with machine learning algorithms, to enhance early recognition of tomato gray mold. Particular emphasis is placed on evaluating the effectiveness of multimodal information fusion in extracting early disease features, and on elucidating the quantitative relationships between disease progression and key physiological indicators such as chlorophyll content, water content, malondialdehyde levels, and antioxidant enzyme activities. Furthermore, an improved WGAN-GP (Wasserstein Generative Adversarial Network with Gradient Penalty) is employed to alleviate data scarcity under small-sample conditions. The results demonstrate that multimodal data fusion significantly improves model sensitivity to early-stage disease detection, while WGAN-GP-based data augmentation effectively enhances learning performance with limited samples. The Random Forest model achieved an early recognition precision of 97.21% on augmented datasets, and transfer learning models attained an overall precision of 97.56% in classifying different disease stages. This study provides an effective approach for the early prediction of tomato gray mold, with potential application value in optimizing disease management strategies and reducing environmental impact.
Keyword ：
disease detection disease detection gray mold gray mold machine learning machine learning multispectral fluorescence-reflectance technology multispectral fluorescence-reflectance technology tomato tomato
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| GB/T 7714 | Zhong, Xiaohao , Li, Huicheng , Cai, Yixin et al. Early Detection of Tomato Gray Mold Based on Multispectral Imaging and Machine Learning [J]. | HORTICULTURAE , 2025 , 11 (9) . |
| MLA | Zhong, Xiaohao et al. "Early Detection of Tomato Gray Mold Based on Multispectral Imaging and Machine Learning" . | HORTICULTURAE 11 . 9 (2025) . |
| APA | Zhong, Xiaohao , Li, Huicheng , Cai, Yixin , Deng, Ying , Xu, Haobin , Tian, Jun et al. Early Detection of Tomato Gray Mold Based on Multispectral Imaging and Machine Learning . | HORTICULTURAE , 2025 , 11 (9) . |
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The species and quantity of volatile organic compounds (VOCs) and the disease resistance are different in red and green ripening periods of tomato. In this study, treatments against Botrytis cinerea infections occurred during the red (RB.) and green (GB.) ripening periods were investigated. GB. decreased disease incidence rate and enhanced the defense capacity by altering the key defense-related enzymes [NADPH-cytochrome c reductase (NCR), aminopyrine-n-demethylase (AND), aniline-4-hydroxylase (AH) and erythromycin N-demethylase (ERND)] activities. Gray mold development in tomatoes is associated with defense mechanisms and cell degradation. PUFAs are involved in maintaining cell integrity. PUFA-related enzymes, such as lipoxygenase (LOX) and alcohol dehydrogenase (ADH), showed lower activity levels during GB.. Additionally, GB. enhanced the energy level by increasing NAD+, NADH, and ATP amounts. At the metabolic level, the VOCs composition was altered by the GB., leading to a reduction in key precursors of PUFA synthesis, including aldehydes/alcohols (VAAs). Among them, the concentrations of key disease resistance-associated substances-hexanal, 2-hexanal, and citral-significantly declined during the GB.. Transcriptomic analysis revealed that GB. modulated gene expression changes corresponded to metabolomic changes, with 37 PUFAs-related genes down-regulated and 79 up-regulated compared to RB.. These findings indicate that GB. enhances disease-resistance capability and maintains cellular integrity. Thereby, fewer genes and VOCs need to be mobilized to increase resistance in postharvest tomatoes.
Keyword ：
Botrytis cinerea Botrytis cinerea Ripening periods Ripening periods Tomato Tomato Volatile organic compounds Volatile organic compounds
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| GB/T 7714 | Gao, Hongdou , Wu, Chengxin , Jia, Zhen et al. Metabolomic and transcriptomic analyses of VOCs functions in different ripening periods tomato resistance responses to Botrytis cinerea infection [J]. | SCIENTIA HORTICULTURAE , 2025 , 350 . |
| MLA | Gao, Hongdou et al. "Metabolomic and transcriptomic analyses of VOCs functions in different ripening periods tomato resistance responses to Botrytis cinerea infection" . | SCIENTIA HORTICULTURAE 350 (2025) . |
| APA | Gao, Hongdou , Wu, Chengxin , Jia, Zhen , Li, Jinnian , Jia, Qi , Xu, Yang et al. Metabolomic and transcriptomic analyses of VOCs functions in different ripening periods tomato resistance responses to Botrytis cinerea infection . | SCIENTIA HORTICULTURAE , 2025 , 350 . |
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Bitter melon, an important medicinal and edible economic crop, is often threatened by diseases such as downy mildew, powdery mildew, viral diseases, anthracnose, and blight during its growth. Efficient and accurate disease detection is of significant importance for achieving sustainable disease management in bitter melon cultivation. To address the issues of weak generalization ability and high computational demands in existing deep learning models in complex field environments, this study proposes an improved lightweight YOLOv8-LSW model. The model incorporates the inverted bottleneck structure of LeYOLO-small to design the backbone network, utilizing depthwise separable convolutions and cross-stage feature reuse modules to achieve lightweight design, reducing the number of parameters while enhancing multi-scale feature extraction capabilities. It also integrates the ShuffleAttention mechanism, strengthening the feature response in lesion areas through channel shuffling and spatial attention dual pathways. Finally, WIoUv3 replaces the original loss function, optimizing lesion boundary regression based on a dynamic focusing mechanism. The results show that YOLOv8-LSW achieves a precision of 95.3%, recall of 94.3%, mAP50 of 98.1%, mAP50-95h of 95.6%, and F1-score of 94.80%, which represent improvements of 2.2%, 2.7%, 1.2%, 2.2%, and 2.46%, respectively, compared to the original YOLOv8n. The effectiveness of the improvements was verified through heatmap analysis and ablation experiments. The number of parameters and GFLOPS were reduced by 20.58% and 20.29%, respectively, with an FPS of 341.58. Comparison tests with various mainstream deep learning models also demonstrated that YOLO-LSW performs well in the bitter melon disease detection task. This research provides a technical solution with both lightweight design and strong generalization ability for real-time detection of bitter melon diseases in complex environments, which holds significant application value in promoting precision disease control in smart agriculture.
Keyword ：
bitter melon bitter melon deep learning deep learning disease detection disease detection leaf disease leaf disease YOLO-LSW YOLO-LSW
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| GB/T 7714 | Liu, Shuang , Xu, Haobin , Deng, Ying et al. YOLOv8-LSW: A Lightweight Bitter Melon Leaf Disease Detection Model [J]. | AGRICULTURE-BASEL , 2025 , 15 (12) . |
| MLA | Liu, Shuang et al. "YOLOv8-LSW: A Lightweight Bitter Melon Leaf Disease Detection Model" . | AGRICULTURE-BASEL 15 . 12 (2025) . |
| APA | Liu, Shuang , Xu, Haobin , Deng, Ying , Cai, Yixin , Wu, Yongjie , Zhong, Xiaohao et al. YOLOv8-LSW: A Lightweight Bitter Melon Leaf Disease Detection Model . | AGRICULTURE-BASEL , 2025 , 15 (12) . |
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Nonanal, as a volatile organic compound (VOC) produced during the biosynthesis of polyunsaturated fatty acids (PUFAs), could inhibit damage to tomatoes caused by Botrytis cinerea. In this study, an 0.054 moL L-1 nonanal treatment decreased the incidence rate of gray mold on tomato and enhanced the defense capacity by altering the activities of the main defense-related enzymes, including NADPH-cytochrome c reductase, aminopyrine-n-demethylase, aniline-4-hydroxylase, and erythromycin N-demethylase. Tomato gray mold is associated with defense mechanisms and with cell degradation. PUFAs are closely related to the maintenance of cell integrity. The enzymes related to PUFAs showed weak activities until 36 h after the 0.054 moL L-1 nonanal treatment, afterwards, their activities increased. The 0.054 moL L-1 nonanal treatment decrease the energy wasted by decreasing NAD+, NADH, and ATP levels. The nonanal treatment also decreased the contents of key substances required for the synthesis of PUFAs (mainly aldehydes and alcohols, VAAs). The most important substances for disease resistance (hexanal, 2-hexanal, and citral) also significantly decreased after the 0.054 moL L-1 nonanal treatment. The transcriptome data revealed corresponding gene expression changes. Among the genes related to PUFAs, 14 were down-regulated and 5 were up-regulated after the 0.054 moL L-1 nonanal treatment compared with the control, and the genes in the plant–pathogen interaction pathway were up-regulated in the control group. This indicated that the nonanal treatment increased the postharvest tomato plant’s resistance capability and helped maintain cell integrity, which meant that less genes and substances were required to fight the B. cinerea infection. © 2025, The Authors. All rights reserved.
Keyword ：
Biochemistry Biochemistry Fruits Fruits Gene expression Gene expression Plants (botany) Plants (botany) Volatile organic compounds Volatile organic compounds
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| GB/T 7714 | Gao, Hongdou , Li, Jinnian , Wu, Chengxin et al. Elucidating Voc Dynamics and Molecular Mechanisms in Nonanal-Treated Postharvest Tomatoes Infected with Botrytis Cinerea [J]. | SSRN , 2025 . |
| MLA | Gao, Hongdou et al. "Elucidating Voc Dynamics and Molecular Mechanisms in Nonanal-Treated Postharvest Tomatoes Infected with Botrytis Cinerea" . | SSRN (2025) . |
| APA | Gao, Hongdou , Li, Jinnian , Wu, Chengxin , Ye, Huilan , Jia, Qi , Xu, Yang et al. Elucidating Voc Dynamics and Molecular Mechanisms in Nonanal-Treated Postharvest Tomatoes Infected with Botrytis Cinerea . | SSRN , 2025 . |
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Non-heading Chinese cabbage prefers cool temperatures, and heat stress has become a major factor for reduced yield. The proline transporter protein (ProT) is highly selective for proline transport, contributing to the heat tolerance of non-heading Chinese cabbage. However, there has been no systematic study on the identification and potential functions of the ProT gene family in response to heat stress in non-heading Chinese cabbage. We identified six BchProT genes containing 11-12 transmembrane helices characteristic of membrane proteins through whole-genome sequencing. These genes diverged into three evolutionary branches and exhibited similarity in motifs and intron/exon numbers. Segmental duplication is the primary driving force for the amplification of BchProT. Notably, many stress-related elements have been identified in the promoters of BchProT using cis-acting element analysis. The expression level of BchProT6 was the highest in petioles, and the expression level of BchProT1 was the highest under high-temperature stress. Subcellular localization indicated their function at cell membranes. Heterologous expression of BchProT1 in Arabidopsis plants increased proline transport synthesis under heat-stress conditions. This study provides valuable information for exploring the molecular mechanisms underlying heat tolerance mediated by members of the BchProT family.
Keyword ：
genome-wide analysis genome-wide analysis heat stress heat stress non-heading Chinese cabbage non-heading Chinese cabbage ProT ProT
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| GB/T 7714 | Tian, Jun , Chang, Kaizhen , Lei, Yingxiao et al. Genome-Wide Identification of Proline Transporter Gene Family in Non-Heading Chinese Cabbage and Functional Analysis of BchProT1 under Heat Stress [J]. | INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES , 2024 , 25 (1) . |
| MLA | Tian, Jun et al. "Genome-Wide Identification of Proline Transporter Gene Family in Non-Heading Chinese Cabbage and Functional Analysis of BchProT1 under Heat Stress" . | INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES 25 . 1 (2024) . |
| APA | Tian, Jun , Chang, Kaizhen , Lei, Yingxiao , Li, Shuhao , Wang, Jinwei , Huang, Chenxin et al. Genome-Wide Identification of Proline Transporter Gene Family in Non-Heading Chinese Cabbage and Functional Analysis of BchProT1 under Heat Stress . | INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES , 2024 , 25 (1) . |
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Our experiments explored the effects of far-red (FR) light on cucumber (Cucumis sativus L. 'Zhongnong No. 26') seedling growth. Our results indicated that FR light significantly promoted the growth of cucumber seedlings. Specifically, it promoted the accumulation of shoot biomass and the elongation of internodes and leaves (except the first leaf at the bottom). Further analysis showed that FR light had no effect on the accumulation contents of abscisic acid (ABA) and auxin (IAA) in seedling leaves. Still, it significantly caused the increase of the gibberellin (GA3, GA4, and GA7) contents and the decrease of GA1 content, which suggested that the leaf expansion progress under FR light may be primarily related to GA. Therefore, the cucumber seedling leaf expansion response to GA was evaluated under different light sources. The exogenous spraying of different GA4/7 contents significantly promoted the leaf expansion of cucumber seedlings under white light, while the GA biosynthesis inhibitor paclobutrazol (PAC) significantly promoted the expression of GA hydrolytic genes (GA2ox2 and GA2ox4) and decreased the content of endogenous active GA, which inhibited the leaf expansion induced by FR light. As expected, the combination of exogenous GA4/7 and PAC restored the growth promotion effect of FR light on cucumber seedling leaves. It increased the contents of endogenous active GA (GA1, GA3, GA4, and GA7), and the expression trend in GA synthetic/hydrolytic-related genes was the opposite of that of PAC was applied alone. All of the above results indicated that FR light regulates leaf expansion progress in cucumber seedlings through GA.
Keyword ：
Cucumber Cucumber Far-red light Far-red light Hormone Hormone Leaf Leaf
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| GB/T 7714 | Li, Shuhao , Ran, Shengxiang , Yuan, Song et al. Gibberellin-mediated far-red light-induced leaf expansion in cucumber seedlings [J]. | PROTOPLASMA , 2024 , 261 (3) : 571-579 . |
| MLA | Li, Shuhao et al. "Gibberellin-mediated far-red light-induced leaf expansion in cucumber seedlings" . | PROTOPLASMA 261 . 3 (2024) : 571-579 . |
| APA | Li, Shuhao , Ran, Shengxiang , Yuan, Song , Chang, Kaizhen , Han, Mingxuan , Zhong, Fenglin . Gibberellin-mediated far-red light-induced leaf expansion in cucumber seedlings . | PROTOPLASMA , 2024 , 261 (3) , 571-579 . |
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设施栽培氮肥投入大、残留高，过量氮肥残留导致土壤环境恶化，然而，残留氮也是重要的土壤氮素资源。为研究不同水分调控方案对土壤残留氮分布和再利用的影响，采用15N同位素标记技术，种植2茬青梗菜，首茬青梗菜设N1、N2、N3共3种施氮水平，分别为150、225、300 kg/hm~2的15NH2CO215NH2），二茬青梗菜设W1、W2、W3共3种水分下限方案（占田间持水量的百分数），分别为60%、70%和80%，观测不同处理下残留氮的分布、再利用和平衡规律。研究结果表明：N1-N3处理共有72.3、123.6和195.3 kg/hm~2的氮肥残留于0～60 cm土体中，主要以矿质态存在。在N1、N2和N3共3种残留氮场景下，均以W2处理根系鲜重最大，分别达到0.182、0.188和0.195 g/株。不同处理以W2N1处理青梗菜残留氮利用效率最高，达到5.4%。在相同土壤氮残留量条件下，W2处理残留氮利用效率显著（p<0.05）高于W1和W3。前茬施氮量越高，残留氮肥在后茬栽培过程中的损失风险越大；控水下限越高，残留氮更易向40 cm以下土层迁移，总损失量也越大，与W1相比，W3处理残留氮损失量增加了29.9%～66.7%(2.29～6.97 kg/hm~2)。推荐70%控水下限作为提升残留氮利用效率的最优水分调控方案。
Keyword ：
施氮量 施氮量 残留氮再利用 残留氮再利用 残留氮分布 残留氮分布 水分调控 水分调控 灌水下限 灌水下限 青梗菜 青梗菜
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| GB/T 7714 | 章二子 , 翟亚明 , 钟凤林 et al. 不同控水下限对设施青梗菜田残留氮分布及再利用的影响 [J]. | 节水灌溉 , 2024 , 7 (01) : 109-114,127 . |
| MLA | 章二子 et al. "不同控水下限对设施青梗菜田残留氮分布及再利用的影响" . | 节水灌溉 7 . 01 (2024) : 109-114,127 . |
| APA | 章二子 , 翟亚明 , 钟凤林 , 侯毛毛 . 不同控水下限对设施青梗菜田残留氮分布及再利用的影响 . | 节水灌溉 , 2024 , 7 (01) , 109-114,127 . |
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