Frontiers in Plant Science最新文献

{"title":"Unraveling site-specific seed formation abnormalities in <i>Picea neoveitchii</i> Mast. trees via widely metabolomic and transcriptomic analysis.","authors":"Kaiyuan Li, Jiayi Lin, Rong Fan, Sibo Chen, Zhilin Ma, Wenli Ji","doi":"10.3389/fpls.2024.1495784","DOIUrl":"https://doi.org/10.3389/fpls.2024.1495784","url":null,"abstract":"<p><p><i>Picea neoveitchii</i> Mast. is a rare and threatened species of evergreen coniferous tree in China, commonly facing issues such as damaged seeds, abnormal seed growth, and empty seed shells. These abnormalities vary by location; unfortunately, the reasons behind these inconsistencies are completely unknown. This study compared seeds from two 150-year-old trees located in Taibai (Shaanxi province, TB150) and Zhouqu (Gansu province, ZQ150). The results showed significant differences in 43 metabolites and hormone levels, with higher levels of indole-3-acetic acid (IAA), methyl jasmonate (MeJA), and brassinosteroid (BR) in ZQ150, which were associated with more viable seeds. In contrast, TB150 exhibited more damaged seeds and empty seed shells due to higher abscisic acid (ABA) levels. Moreover, to further investigate these inconsistencies, we performed <i>de-novo</i> transcriptomic assembly and functional annotation of unigenes using high-throughput sequencing. A total of 2,355 differentially expressed unigenes were identified between TB150 and ZQ150, with 1,280 upregulated and 1,075 downregulated. Hormone signaling and sugar metabolism-related unigenes were further examined for their role in seed development. ZQ150 increased the number of normal seeds by enhancing endogenous IAA levels and upregulating auxin signaling and sugar metabolism-related genes. Conversely, TB150 showed more empty seed shells, correlated with elevated ABA levels and the activation of ABA signaling genes. We hypothesize that enhanced IAA levels and the upregulation of sugar metabolism and auxin signaling genes promote normal seed development.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1495784"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667104/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using the Pearson's correlation coefficient as the sole metric to measure the accuracy of quantitative trait prediction: is it sufficient?","authors":"Shouhui Pan, Zhongqiang Liu, Yanyun Han, Dongfeng Zhang, Xiangyu Zhao, Jinlong Li, Kaiyi Wang","doi":"10.3389/fpls.2024.1480463","DOIUrl":"https://doi.org/10.3389/fpls.2024.1480463","url":null,"abstract":"<p><p>How to evaluate the accuracy of quantitative trait prediction is crucial to choose the best model among several possible choices in plant breeding. Pearson's correlation coefficient (PCC), serving as a metric for quantifying the strength of the linear association between two variables, is widely used to evaluate the accuracy of the quantitative trait prediction models, and generally performs well in most circumstances. However, PCC may not always offer a comprehensive view of predictive accuracy, especially in cases involving nonlinear relationships or complex dependencies in machine learning-based methods. It has been found that many papers on quantitative trait prediction solely use PCC as a single metric to evaluate the accuracy of their models, which is insufficient and limited from a formal perspective. This study addresses this crucial issue by presenting a typical example and conducting a comparative analysis of PCC and nine other evaluation metrics using four traditional methods and four machine learning-based methods, thereby contributing to the improvement of practical applicability and reliability of plant quantitative trait prediction models. It is recommended to employ PCC in conjunction with other evaluation metrics in a targeted manner based on specific application scenarios to reduce the likelihood of drawing misleading conclusions.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1480463"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing maize drought and heat tolerance: single vs combined plant growth promoting rhizobacterial inoculation.","authors":"Iviwe Notununu, Lucy Moleleki, Ashira Roopnarain, Rasheed Adeleke","doi":"10.3389/fpls.2024.1480718","DOIUrl":"https://doi.org/10.3389/fpls.2024.1480718","url":null,"abstract":"<p><p>Maize (<i>Zea mays</i> L.), a key staple crop in Sub-Saharan Africa, is particularly vulnerable to concurrent drought and heat stress, which threatens crop yield and food security. Plant growth-promoting rhizobacteria (PGPR) have shown potential as biofertilizers to enhance plant resilience under such abiotic stresses. This study aimed to (1) identify PGPR isolates tolerant to drought and heat, (2) assess their capacity to mitigate the effects of these stresses on early maize growth, and (3) analyze maize gene expression changes associated with PGPR-induced tolerance. Rhizobacteria were isolated and screened for drought and heat tolerance, alongside key plant growth-promoting (PGP) traits, including phosphorus solubilization, nitrogen fixation, and indole acetic acid production. In vitro and pot trials evaluated the effects of selected isolates on maize growth under stress, using indicators such as shoot length, root and shoot biomass (wet and dry), and leaf water content. Quantitative reverse transcription PCR (qRT-PCR) was employed to profile maize stress response genes. The identified PGPR isolates included <i>Bacillus cereus</i> (11MN1), <i>Bacillus pseudomycoides</i> (21MN1B), <i>Lelliottia amnigena</i> (33MP1), and <i>Leclercia adecarboxylata</i> (36MP8). Greenhouse trials demonstrated that <i>L. amnigena</i> 33MP1, <i>L. adecarboxylata</i> 36MP8, and a mixed culture of isolates (11MN1, 21MN1B, 33MP1, 36MP8) effectively alleviated the adverse effects of concurrent drought and heat stress in maize. Notably, qRT-PCR analysis indicated that PGPR-induced tolerance may involve the modulation of stress response genes <i>CAT2</i> (catalase 2) and <i>DHN2</i> (dehydrin 2), which play roles in oxidative stress management and cellular protection. The PGPR isolates identified in this study represent promising bioinoculants for enhancing maize resilience under climate-induced stresses, offering a sustainable approach to improve maize productivity, conserve water, and reduce irrigation needs in drought-prone regions.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1480718"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Genetic response and resistance in plants towards abiotic and biotic stresses.","authors":"Sushil Satish Chhapekar, Sachin Gorakshnath Chavan","doi":"10.3389/fpls.2024.1505006","DOIUrl":"https://doi.org/10.3389/fpls.2024.1505006","url":null,"abstract":"","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1505006"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666485/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evolution and comparative transcriptome analysis of glucosinolate pathway genes in <i>Brassica napus</i> L.","authors":"Shiying Liu, Zexuan Wu, Xingying Chen, Zhuo Chen, Yibing Shen, Salman Qadir, Huafang Wan, Huiyan Zhao, Nengwen Yin, Jiana Li, Cunmin Qu, Hai Du","doi":"10.3389/fpls.2024.1483635","DOIUrl":"https://doi.org/10.3389/fpls.2024.1483635","url":null,"abstract":"<p><p>Glucosinolates (GSLs) are important secondary metabolites abundantly distributed in Brassicaceae plants, whose degradation products benefit plant resistance but are regarded as disadvantageous factors for human health. Thus, reducing GSL content is an important goal in the breeding program in crops, such as <i>Brassica napus</i>. In this study, 1280 genes in the GSL pathway were identified from 14 land plant genomes, which are specifically distributed in Brassicaceae and are extensively expanded in <i>B. napus</i>. Most GSL pathway genes had many positive selection sites, especially the encoding genes of transcription factors (TFs) and structural genes involved in the GSL breakdown process. There are 344 genes in the GSL pathway in the <i>B. napus</i> genome, which are unequally distributed on the 19 chromosomes. Whole-genome duplication mainly contributed to the gene expansion of the GSL pathway in <i>B. napus</i>. The genes in GSL biosynthesis were regulated by various TFs and <i>cis</i>-elements in <i>B. napus</i> and mainly response to abiotic stress and hormone induction. A comparative transcriptome atlas of the roots, stems, leaves, flowers, siliques, and seeds of a high- (ZY821), and a low-GSL-content (ZS11) cultivar was constructed. The features of the two cultivars may be attributed to diverse expression differences in each organ at different stages, especially in seeds. In all, 65 differential expressed genes (DEGs) concentrated on the core structure pathway were inferred to mainly influence the GSL contents between ZY821 and ZS11. This study provides an important RNA-seq dataset and diverse gene resources for future manipulating GSLs biosynthesis and distribution in <i>B. napus</i> using molecular breeding methods.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1483635"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666375/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genome-wide identification and characterization of BASIC PENTACYSTEINE transcription factors and their binding motifs in coconut palm.","authors":"Zifen Lao, Jiali Mao, Runan Chen, Ran Xu, Zhuang Yang, Ying Wang, Junjie Zhou, Zhihua Mu, Hang Xu, Fengmei Li, Dongyi Huang, Yong Xiao, Jie Luo, Wei Xia","doi":"10.3389/fpls.2024.1491139","DOIUrl":"https://doi.org/10.3389/fpls.2024.1491139","url":null,"abstract":"<p><strong>Introduction: </strong><i>BASIC PENTACYSTEINE</i> (<i>BPC</i>) is a small transcription factor family known for its role in various developmental processes in plants, particularly in binding GA motifs and regulating flower and seed development. However, research on the functional characteristics and target genes of <i>BPCs</i> in coconut (<i>Cocos nucifera</i>) is limited.</p><p><strong>Methods: </strong>In this study, we systematically characterized the gene structure, conserved protein domains, gene expansion, and target genes of <i>CnBPCs</i> in the coconut genome. We conducted yeast one-hybrid (Y1H) and dual-luciferase assay to explore gene interactions. We identified genes with the GA motif in their promoter regions and combined this information with a weighted gene co-expression network to identify the target genes of <i>CnBPCs</i>.</p><p><strong>Results: </strong>Eight <i>CnBPCs</i> were identified, including three Class I <i>CnBPCs</i> from triplication, four Class II <i>CnBPCs</i> (with <i>CnBPC6A</i> and <i>CnBPC6B</i> resulting from segmental duplication), and one Class III CnBPC (<i>CnBPC7</i>). Three conserved DNA-binding motifs were detected, exhibiting variation in certain sites. Widespread BPC gene expansion was detected in coconut and other plant species, while only three BPCs were found in the most basal extant flowering plant. Notably, 92% of protein-coding genes contained at least one GA motif, with the (GA)3 motif being most prevalent. Genes containing the GA motif that exhibit a high expression correlation with <i>CnBPCs</i>, tend to interact strongly with the corresponding <i>CnBPCs</i>. Additionally, promoters rich in the GA motif tend to interact with all members of <i>CnBPC</i>. The dual-luciferase assay showed that <i>CnBPCs</i> could activate or repress the transcriptional activities of promoters containing either (GA)3 or (GA)11 motif but with a bias toward certain genes. Furthermore, we constructed co-expressed networks identifying 426 genes with GA motifs as potential <i>CnBPC</i> targets.</p><p><strong>Discussion: </strong>Our findings suggest that <i>CnBPCs</i> may play significant roles in seed germination, flower development, and mesocarp development by interacting with genes such as <i>CnAG1</i>, <i>CnAG2</i>, <i>CnSTK</i>, <i>CnMFT</i>, and <i>CnCS</i>. This study characterized <i>CnBPCs</i>' binding motif and possible target genes, laying a theoretical foundation to reveal <i>CnBPCs</i>' function in flower and seed development.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1491139"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666369/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum: Age effects of Moso bamboo on leaf isoprene emission characteristics.","authors":"Yandong Song, Chunju Peng, Qinjiao Wu, Shijie Tao, Tingting Mei, Zhihong Sun, Zhaojiang Zuo, Chunyu Pan, Yufeng Zhou, Guomo Zhou","doi":"10.3389/fpls.2024.1521031","DOIUrl":"https://doi.org/10.3389/fpls.2024.1521031","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fpls.2023.1132717.].</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1521031"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667737/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Nitrogen Nutrition Index estimation in rice using multi-leaf SPAD values and machine learning approaches.","authors":"Yuan Wang, Peihua Shi, Yinfei Qian, Gui Chen, Jiang Xie, Xianjiao Guan, Weiming Shi, Haitao Xiang","doi":"10.3389/fpls.2024.1492528","DOIUrl":"https://doi.org/10.3389/fpls.2024.1492528","url":null,"abstract":"<p><p>Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study investigates the potential of using multi-leaf SPAD measurements combined with machine learning models to improve nitrogen nutrition diagnostics in rice. Conducted across five locations with 15 rice cultivars, SPAD values from the first to fifth fully expanded leaves were collected at key growth stages. The study demonstrates that integrating multi-leaf SPAD data with advanced machine learning models, particularly Random Forest and Extreme Gradient Boosting, significantly improves the accuracy of Leaf Nitrogen Concentration (LNC) and Nitrogen Nutrition Index (NNI) estimation. The second fully expanded Leaf From the Top (2LFT) emerged as the most critical variable for predicting LNC, while the 3LFT was pivotal for NNI estimation. The inclusion of statistical metrics, such as maximum and median SPAD values, further enhanced model performance, underscoring the importance of considering both original SPAD measurements and derived indices. This approach provides a more precise method for nitrogen assessment, facilitating improved nitrogen use efficiency and contributing to sustainable agricultural practices through targeted and effective nitrogen management strategies in rice cultivation.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1492528"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lowering the target daily light integrals following days with excessive lighting can reduce lettuce production costs.","authors":"Andres M Mayorga-Gomez, Marc W van Iersel, Rhuanito Soranz Ferrarezi","doi":"10.3389/fpls.2024.1467443","DOIUrl":"https://doi.org/10.3389/fpls.2024.1467443","url":null,"abstract":"<p><p>Given the fluctuating availability of natural lighting throughout the year, supplemental light is frequently employed to maintain the optimal daily light integral (DLI) levels necessary for adequate plant growth. However, the use of supplemental light translates into higher operational costs. Recent reports suggest that plants can tolerate a day with low DLI following exposure to a day with high DLI from natural light. This was referred to as the 'carryover' effect. In such cases, supplemental lighting may not be necessary, resulting in energy savings. In this study, we determined if plants can withstand such DLI fluctuations over multiple days without compromising plant growth. Additionally, we calculated the energy requirements for trese treatments to evaluate the potential energy savings of the carryover effect. To test this, we cultivated lettuce plants (<i>Lactuca sativa</i> cv. 'Waldmand's Dark Green' and 'Rouxai') in a walk-in grow chamber, subjecting them to six different lighting treatments. Each treatment consisted of a day with a high DLI of 22.5 mol·m^-2·d^-1 followed by a varying number of consecutive days with low DLI, ranging from 1 to 5 days, with DLIs of 7.5, 11.25, 12.5, 13.13, and 13.5 mol·m^-2·d^-1 respectively. The combined DLI for each treatment, calculated as the average DLI across high and low DLI days, was maintained at 15 mol·m^-2·d^-1. Additionally, we included a control treatment where plants were exposed to a constant DLI of 15 mol·m^-2·d^-1. We measured plant growth rate, final fresh and dry weights, leaf number, leaf area, specific leaf area, light use efficiency, and relative pigment content to assess differences in plant growth under the different lighting regimes. We observed a decrease in biomass accumulation, as indicated by a 13% reduction in final dry weight only for the treatment involving one day of high DLI followed by one day of low DLI, compared to our control. We discovered that plants can tolerate multiple days of low DLI following a day with high DLI, in contrast to the optimal values reported in the literature. This finding can lead to reduced energy consumption for supplemental lighting and consequent operational cost savings.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1467443"},"PeriodicalIF":4.1,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667103/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Signaling pathways mediating the induction of preharvest fruit drop in litchi.","authors":"Jun Wang, Wuqiang Ma, Fei Wang, Zidi He, Xiangyang Ye, Jiahui Deng, Minglei Zhao, Jianguo Li","doi":"10.3389/fpls.2024.1474657","DOIUrl":"https://doi.org/10.3389/fpls.2024.1474657","url":null,"abstract":"<p><p>Certain litchi varieties, such as \"Nuomici\", are highly susceptible to preharvest fruit drop, which leads to significant losses in fruit yield and economic value. However, the precise molecular mechanisms underlying this issue are not yet fully understood. In this study, we aimed to elucidate the signaling pathways that facilitate preharvest fruit drop in litchi, using \"Nuomici\" and \"Huaizhi\" cultivars as examples, which demonstrate high and low preharvest fruit drop rates, respectively. Our findings revealed that \"Nuomici\" experienced a substantial preharvest fruit drop, with a cumulative rate of 41.68%, significantly higher than the 1.44% observed in \"Huaizhi\". Cellulase activity assays showed a significant increase in cellulase activity in the abscission zone of \"Nuomici\", which coincided with the occurrence of preharvest fruit drop, in contrast to the relatively low levels in \"Huaizhi\". Phytohormone assays indicated lower indole-3-acetic acid content in the pericarp, aril, and seeds of \"Nuomici\" during the preharvest stage compared to \"Huaizhi\", coupled with higher abscisic acid levels in the seeds of \"Nuomici\". Furthermore, transcriptomic analysis identified 180, 282, 655, and 241 differentially expressed genes (DEGs) in the pericarp, aril, seed, and abscission zone, respectively, between the two cultivars during preharvest fruit drop. These DEGs are intricately involved in the generation and transmission of abscission signals from fruit tissues, encompassing <i>PIN</i>, <i>PIN-LIKES</i>, <i>LAX</i>, and <i>SAUR</i> genes related to polar auxin transport, ethylene diffusion, as well as perceiving these signals and activating the abscission process within the abscission zone. This includes <i>ACO</i> and <i>ILR</i> genes involved in hormone biosynthesis and signal transduction, regulation by WRKY, NAC, and bHLH transcription factors, AAO genes involved in response to reactive oxygen species, and EXP, EG, and PG genes involved in cell wall degradation in the abscission zone. Based on these comprehensive findings, we propose a model for preharvest fruit drop triggered by a series of molecular events in litchi, providing valuable insights into the complex mechanisms governing this phenomenon.</p>","PeriodicalId":12632,"journal":{"name":"Frontiers in Plant Science","volume":"15 ","pages":"1474657"},"PeriodicalIF":4.1,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11663655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}