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Pangenome-wide characterization of the TCP gene family and its potential role in regulating adventitious shoot regeneration in apple TCP基因家族的全基因组特征及其在调控苹果不定芽再生中的潜在作用
Pub Date : 2025-09-01 DOI: 10.1016/j.agrcom.2025.100101
Chuanjun Chang , Zushu Xie , Shubiao Zhang , Dantong Shao , Xiaoyan Ma , Lu Tong , Muhammad Mobeen Tahir , Zhanling Lu , Ikhtiyor Namozov , Dong Zhang , Juanjuan Ma , Yanrong Lv
With rapid advancements in sequencing technologies, the genomes of numerous plant species have been deciphered. Among these, apple—a globally important fruit crop—has greatly benefited from such progress, with numerous high-quality genome assemblies providing valuable resources for genomic research and gene family studies. In this study, we analyzed the genomic characteristics of 26 Malus accessions, identified and classified their transcription factor (TF) families, and conducted a comprehensive pangenome-wide investigation of the TCP gene family across these accessions. Our findings revealed a strong positive correlation between genome size and transposable element (TE) content, suggesting TEs play a role in genome expansion. TF profiling showed significant variation in the abundance of certain families among different accessions. Specifically, 932 TCP genes were grouped into three subfamilies (PCF, CIN, and CYC/TB1) with a consistent compositional pattern. Orthologous gene group (OGG) analysis among the 26 Malus accessions revealed that core TCP genes were relatively conserved in gene count and possessed longer gene sequences and coding sequences (CDS). Synteny analyses indicated strong evolutionary conservation, with purifying selection acting on most TCP genes. Functional enrichment analysis highlighted the functional diversity within the TCP gene family. Moreover, transcriptomic analyses during adventitious shoot (AS) regeneration showed that core TCP genes were expressed at higher levels than non-core ones and identified some candidate TCP genes potentially involved in regulating AS formation. This study provides valuable insights into the evolutionary conservation and functional diversity of the TCP gene family, revealing its potential regulatory roles in AS regeneration in apple.
随着测序技术的快速发展,许多植物物种的基因组已经被破译。其中,苹果作为一种全球重要的水果作物,其大量高质量的基因组组装为基因组研究和基因家族研究提供了宝贵的资源。本研究分析了26份苹果材料的基因组特征,对其转录因子(TF)家族进行了鉴定和分类,并对这些材料的TCP基因家族进行了全基因组范围的研究。我们的研究结果表明,基因组大小与转座因子(TE)含量呈正相关,表明TE在基因组扩增中起作用。TF谱分析显示,不同种质间某些家族的丰度存在显著差异。具体而言,932个TCP基因被分为三个亚家族(PCF, CIN和CYC/TB1),其组成模式一致。同源基因群(OGG)分析表明,核心TCP基因在基因数量上相对保守,且具有较长的基因序列和编码序列(CDS)。Synteny分析显示了强烈的进化保守性,纯化选择作用于大多数TCP基因。功能富集分析强调了TCP基因家族的功能多样性。此外,转录组学分析表明,核心TCP基因的表达水平高于非核心基因,并确定了一些可能参与调控AS形成的候选TCP基因。该研究为TCP基因家族的进化保护和功能多样性提供了有价值的见解,揭示了其在苹果AS再生中的潜在调控作用。
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引用次数: 0
Impacts of global climate change on mushroom production: challenges and opportunities 全球气候变化对蘑菇生产的影响:挑战与机遇
Pub Date : 2025-09-01 DOI: 10.1016/j.agrcom.2025.100091
Xia Guo , Jianping Xu
Climate change has been linked to a wide range of adverse impacts on human health and socioeconomic well-being. While mushrooms have been suggested as potential agents for mitigating climate change, the effects of climate change on mushroom production remain largely unexplored. Here, we review and analyze the potential impacts of climate change on the production of both cultivated and wild edible and medicinal mushrooms, with a focus on the impacts of changing temperature and precipitation. First, we review global temperature and precipitation scenarios projected by 2100. Most climate scientists predict that global temperature will continue to rise gradually and precipitation distribution will become increasingly uneven in the future. Second, our analyses suggest that these environmental shifts will negatively impact the productivity of most cultivated mushrooms in multiple ways, including restricted substrate supplies, damage from pests and pathogens, and high electrical expenditures, etc. Third, some wild mushrooms may benefit from warmer and more humid conditions in certain regions, leading to increased mycelial growth and fruiting. However, hotter and drier environments in other regions, as projected for the future, will likely suffer decreasing yields for most mushrooms. For many wild gourmet mushroom species, their suitable habitats may change, with the majority predicted to experience habitat shrinkage, resulting in an overall decrease in productivity. Aside from challenges, we also discuss opportunities, including incorporating smart technologies for monitoring environmental factors, utilizing artificial intelligence for predictive analytics, and automating tasks such as irrigation and cooling/heating. We note that long-term monitoring across multiple ecological zones is needed to accurately quantify the impacts of global climate change on mushroom production and fine-tune strategies for sustainable mushroom cultivation.
气候变化与对人类健康和社会经济福祉的广泛不利影响有关。虽然蘑菇被认为是缓解气候变化的潜在媒介,但气候变化对蘑菇生产的影响在很大程度上仍未被探索。在此,我们回顾和分析了气候变化对栽培和野生食用菌生产的潜在影响,重点关注了温度和降水变化的影响。首先,我们回顾了2100年全球温度和降水预测情景。大多数气候科学家预测,未来全球气温将继续逐渐上升,降水分布将变得越来越不均匀。其次,我们的分析表明,这些环境变化将以多种方式对大多数栽培蘑菇的生产力产生负面影响,包括限制基质供应,害虫和病原体的破坏以及高电力支出等。第三,一些野生蘑菇可能受益于某些地区更温暖、更潮湿的环境,导致菌丝生长和结果增加。然而,正如未来预测的那样,其他地区更热、更干燥的环境可能会导致大多数蘑菇的产量下降。对于许多野生美食蘑菇物种来说,它们的适宜栖息地可能会发生变化,其中大多数预计会经历栖息地萎缩,导致生产力整体下降。除了挑战,我们还讨论了机遇,包括整合智能技术来监测环境因素,利用人工智能进行预测分析,以及自动化任务,如灌溉和冷却/加热。我们注意到,需要跨多个生态区进行长期监测,以准确量化全球气候变化对蘑菇生产的影响,并微调可持续蘑菇种植策略。
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引用次数: 0
Immune evasion strategies of Seneca Valley virus: mechanisms of host innate immune suppression 塞内卡谷病毒的免疫逃避策略:宿主先天免疫抑制机制
Pub Date : 2025-09-01 DOI: 10.1016/j.agrcom.2025.100100
Shijie Xie , Jingyu Yan , Bo Jiang , Jue Liu , Jiangwei Song
Seneca Valley virus (SVV), an emerging picornavirus, poses a significant threat to the global swine industry. Innate immunity acts as the initial defense mechanism of host cells against viral infection. Upon infection, viruses can be detected by the cellular host's pattern recognition receptors (PRRs), which trigger the activation of signaling cascades and the strong production of type I interferon (IFN-I) to limit viral replication. SVV employs diverse strategies to evade innate immunity, primarily through 3C protease, which targets host antiviral proteins to antagonize IFN-I signaling. Additionally, SVV hijacks autophagy, apoptosis, and pyroptosis to facilitate its own replication. In this review, we summarize recent research on the underlying mechanisms employed by SVV to manipulate host innate immune response and programmed cell death pathways. This review will provide insights for the design of SVV vaccines and contribute to the prevention and control of SVV infection.
塞内卡谷病毒(SVV)是一种新兴的小核糖核酸病毒,对全球养猪业构成重大威胁。先天免疫是宿主细胞抵御病毒感染的初始防御机制。感染后,病毒可被细胞宿主的模式识别受体(PRRs)检测到,从而触发信号级联反应的激活和I型干扰素(IFN-I)的强烈产生,以限制病毒的复制。SVV采用多种策略逃避先天免疫,主要通过3C蛋白酶,其靶向宿主抗病毒蛋白拮抗IFN-I信号。此外,SVV劫持自噬、凋亡和焦亡以促进自身复制。在这篇综述中,我们总结了SVV操纵宿主先天免疫反应和程序性细胞死亡途径的潜在机制的最新研究。这一综述将为SVV疫苗的设计提供新的思路,并有助于SVV感染的预防和控制。
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引用次数: 0
Review of computer vision for livestock body conformation assessment 家畜体型评估的计算机视觉研究进展
Pub Date : 2025-08-06 DOI: 10.1016/j.agrcom.2025.100099
Simon X. Yang , Yongqi Han , Weihong Ma , Dan Tulpan , Jiawei Li , Junfei Li , Youjun Yue
Livestock body conformation is a key indicator for evaluating an animal's production performance, health status, and breeding value. Traditional conformation assessment methods, which rely on manual measurements and visual scoring, are not only time-consuming and labor-intensive but also prone to subjective. With the rapid development of computer vision and artificial intelligence technologies, novel approaches leveraging two-dimensional (2D) images, three-dimensional (3D) point cloud processing, and multimodal data fusion have become research hotspots in the field of automated conformation assessment. This paper reviews the progress of computer vision applications in livestock body conformation assessment, highlighting key methods and their potential practical value. The review encompasses core technologies such as expert knowledge-based approaches, data collection and preprocessing techniques, classical machine learning algorithms, and advanced deep learning models. Specifically, it elaborates on the implementation methods, application scenarios, and typical outcomes of these techniques in body size measurement, limb and hoof detection, reproductive organ detection, and udder detection. Furthermore, the main challenges in applying computer vision to livestock conformation assessment are outlined, including data quality issues, algorithm generalization capability, real-time performance limitations, and the cost and complexity of device deployment. Future research should aim to improve data quality, model adaptability, and deployment efficiency, ensuring scalable and cost-effective conformation assessment solutions.
畜禽体质是评价畜禽生产性能、健康状况和养殖价值的重要指标。传统的构象评估方法依赖于人工测量和视觉评分,不仅耗时费力,而且容易主观。随着计算机视觉和人工智能技术的快速发展,利用二维(2D)图像、三维(3D)点云处理和多模态数据融合的新方法已成为自动化构象评估领域的研究热点。本文综述了计算机视觉在家畜体型评估中的应用进展,重点介绍了计算机视觉在家畜体型评估中的关键方法及其潜在的实用价值。该综述涵盖了核心技术,如基于专家知识的方法、数据收集和预处理技术、经典机器学习算法和先进的深度学习模型。具体阐述了这些技术在体型测量、四肢蹄检测、生殖器官检测、乳房检测等方面的实现方法、应用场景和典型效果。此外,还概述了将计算机视觉应用于牲畜形状评估的主要挑战,包括数据质量问题、算法泛化能力、实时性能限制以及设备部署的成本和复杂性。未来的研究应致力于提高数据质量、模型适应性和部署效率,确保可扩展和经济有效的构造评估解决方案。
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引用次数: 0
Ecological wisdom: functional plant Cosmos bipinnata enhances fitness traits of predator Harmonia axyridis strengthening biological control in greenhouse production 生态智慧:功能植物双峰草芥提高捕食者绿毛草芥的适合度性状,加强温室生产中的生物防治
Pub Date : 2025-07-26 DOI: 10.1016/j.agrcom.2025.100097
Jie Wang , Shu Li , Wenyi Yuan , Séverin Hatt , Yan Fang , Zhenyu Jin , Su Wang
Functional plants play a pivotal role in plant protection by bolstering the populations of pests’ natural enemies. When utilized as companion plants, they serve as crucial components in conservation biological control. A systematic analysis of the ecological functions of candidate companion plant species is of utmost importance for effectively attracting and sustaining natural enemies, thereby promoting biological control strategies. In this study, we comprehensively examined the impact of Cosmos bipinnata (Asteraceae) on the olfactory behavior, lifespan, and survival of Harmonia axyridis, and evaluated its function in maintaining field populations and pest control capabilities. Compared to the absence of companion plants, C. bipinnata leaves at the vegetative stage significantly attracted H. axyridis females in Y-tube olfactometer assays, while both females and males significantly avoided C. bipinnata during the flowering stage. Additionally, females lived significantly longer when offered 5 ​C. bipinnata flowers daily compared to those with no food source. Moreover, providing C. bipinnata flowers in addition to aphids (in deprivation or ad libitum) also significantly increased egg production of H. axyridis. Furthermore, in greenhouse pepper production, the introduction of C. bipinnata increased the colonization rate of H. axyridis released in the early stages, thus achieving effective pest control in the short term. In the long term, incorporating C. bipinnata helped sustain multiple developmental stages of H. axyridis populations, accelerating pest suppression and enhancing pepper yield throughout the entire production cycle.
功能性植物通过增加害虫天敌的数量,在植物保护中发挥着关键作用。作为伴生植物利用,是保护生物防治的重要组成部分。系统分析候选伴生植物的生态功能对于有效地吸引和维持天敌,从而促进生物防治策略至关重要。摘要本研究全面考察了石竹对野田鼠嗅觉行为、寿命和存活的影响,并评价了石竹对野田鼠种群维持和害虫防治的作用。与无伴生植物相比,y管嗅测结果表明,营养期的双羽石楠叶片显著吸引雌蜂,而花期的雌雄双羽石楠叶片均显著避开雌蜂。此外,当提供5 C时,雌性的寿命明显更长。与那些没有食物来源的相比,碧羽塔每天都会开花。此外,除提供蚜虫外,还提供双羽石楠花(剥夺或随意提供)也显著增加了毛蚜的产卵量。此外,在温室辣椒生产中,引入双峰锥虫提高了前期释放的灰蚜定殖率,在短期内达到了有效的防治效果。从长期来看,在辣椒生产的整个生产周期中,加入双羽石斛有助于维持红毛蚜种群的多个发育阶段,加速害虫的抑制和提高产量。
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引用次数: 0
Moderate intermittent water deficit enhances dry matter remobilization, nitrogen uptake, and water and nitrogen use efficiency in winter wheat 适度的间断性水分亏缺提高了冬小麦干物质再动员、氮素吸收和水氮利用效率
Pub Date : 2025-07-25 DOI: 10.1016/j.agrcom.2025.100098
Chen Ru , Yuxuan Liu , Wene Wang , Xiaotao Hu
Drought stress severely inhibits the growth and production of winter wheat, particularly after anthesis. To mitigate these effects, this study evaluated the impact of intermittent water deficit priming on physiological and yield-related traits of winter wheat under subsequent drought stress, based on a two-year experiment. Intermittent moderate water deficit priming (PID2) significantly increased photosynthetic rate (Pn) and stomatal conductance, resulting in higher dry matter accumulation and relative growth rate. Moreover, compared to non-primed plants, PID2 improved dry matter translocation efficiency and its contribution to grain by 42.3 ​% and 23.0 ​%, respectively, thereby increasing yield by 27.1 ​%. Additionally, PID2 and persistent mild water deficit priming (PPD1) improved root distribution in the middle and lower soil layers, enhancing nitrogen uptake, as well as grain nitrogen and protein accumulation. Nitrogen use efficiency for yield under PID2 and PPD1 treatments increased by 12.5 ​% and 12.2 ​%, respectively, compared to non-primed plants. The TOPSIS assessment indicated that PID2 enhanced drought tolerance in wheat most effectively, making it a promising water management strategy for mitigating post-anthesis stress.
干旱胁迫严重抑制冬小麦的生长和产量,特别是在花期后。为了减轻这些影响,本研究基于一项为期两年的试验,评估了干旱胁迫下间歇性水分亏缺启动对冬小麦生理和产量相关性状的影响。间歇中度亏水处理(PID2)显著提高了叶片光合速率(Pn)和气孔导度,提高了叶片干物质积累和相对生长速率。与未处理的植株相比,PID2处理的干物质转运效率和对籽粒的贡献分别提高了42.3%和23.0%,产量提高了27.1%。此外,PID2和持续轻度水分亏缺启动(PPD1)改善了中下层土壤根系分布,提高了氮素吸收、籽粒氮素和蛋白质积累。与未处理相比,PID2和PPD1处理对产量的氮素利用效率分别提高了12.5%和12.2%。TOPSIS评价结果表明,PID2对小麦抗旱性的提高最为有效,是一种很有前景的缓解花后胁迫的水分管理策略。
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引用次数: 0
Non-destructive detection of spotted wing Drosophila infestation in blueberry fruit using hyperspectral imaging technology 高光谱成像技术无损检测蓝莓果实斑翅果蝇侵染
Pub Date : 2025-07-08 DOI: 10.1016/j.agrcom.2025.100096
Xinyang Mu, Yuzhen Lu
Spotted Wing Drosophila (SWD) infestation in blueberries presents a significant threat to blueberry industries due to yield loss and quality safety issues during the postharvest process, where infested fruit is zero-tolerated. Current detection methods require destructive sampling, which is time-consuming and labor-intensive. Therefore, they are not suitable for high-volume inspection of individual products during postharvest handling. This study presents an innovative hyperspectral imaging-based approach to detect SWD infestation in highbush blueberry fruit. Two benchtop hyperspectral imaging systems in reflectance mode, operating in the visible-near-infrared (Vis-NIR, 400–1000 ​nm) and short-wavelength infrared (SWIR, 900–1700 ​nm) ranges, respectively, were in-house assembled for acquiring images of 945 (including 706 healthy and 235 infested) blueberry samples hand-picked from orchards. Hyperspectral imagery was processed to segment blueberries and extract mean spectra from individual samples. Infested blueberries showed lower spectral reflectance in the region of 750–1350 ​nm than normal samples. Baseline models were built using six different classifiers for sample classification, and the models based on partial least squares discriminant analysis (PLS-DA) yielded the best overall accuracy of 90.2 ​% and 92.5 ​% for the Vis-NIR and SWIR systems, respectively, with the corresponding recall rates of 74.2 ​% and 80.6 ​% for infested fruit. Three alternative modeling pipelines were proposed by implementing oversampling of the minority infested fruit class and waveband selection, through an exhaustive search for optimal methods, resulting in improved detection performance. Among the optimization strategies, oversampling proved more effective than waveband selection for enhancing model performance, and their combination (oversampling followed by waveband selection) yielded the best classification, with PLS-DA remaining the best classifier. The Vis-NIR and SWIR systems achieved the best overall accuracies of 93.7 ​% and 97.2 ​%, respectively, with the corresponding recall rates of 85.9 ​% and 95.7 ​% for infested fruit. This research showed that hyperspectral imaging, especially in the SWIR range, was useful for rapid, non-destructive detection of SWD infestation in blueberry fruit.
斑翅果蝇(SWD)在蓝莓中的侵染对蓝莓产业构成了重大威胁,因为在采后过程中,受侵染的果实是零容忍的,因此会造成产量损失和质量安全问题。目前的检测方法需要破坏性采样,耗时耗力。因此,它们不适合在采后处理期间对单个产品进行大批量检查。本研究提出了一种创新的基于高光谱成像的方法来检测高丛蓝莓果实中的SWD侵染。在室内组装了两套反射模式的台式高光谱成像系统,分别工作在可见光-近红外(Vis-NIR, 400-1000 nm)和短波红外(SWIR, 900-1700 nm)范围内,用于采集945个果园采摘的蓝莓样本(包括706个健康蓝莓样本和235个感染蓝莓样本)的图像。对高光谱图像进行分割,提取蓝莓样品的平均光谱。侵染蓝莓在750 ~ 1350 nm波段的光谱反射率较正常蓝莓低。采用6种不同的分类器建立基线模型进行样本分类,基于偏最小二乘判别分析(PLS-DA)的模型对Vis-NIR和SWIR系统的总体准确率最高,分别为90.2%和92.5%,对侵染水果的召回率分别为74.2%和80.6%。通过穷举搜索优化方法,提出了对少数侵染水果类进行过采样和选择波段的三种建模管道,提高了检测性能。在优化策略中,过采样比波段选择更有效地提高了模型的性能,它们的组合(过采样+波段选择)产生了最好的分类器,PLS-DA仍然是最好的分类器。Vis-NIR和SWIR系统的总体准确率最高,分别为93.7%和97.2%,相应的召回率分别为85.9%和95.7%。研究表明,高光谱成像,特别是在SWIR范围内,可用于快速、无损地检测蓝莓果实中SWD的侵害。
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引用次数: 0
Liquid–liquid phase separation regulates gene expression in plants 液-液相分离调控植物基因表达
Pub Date : 2025-06-01 DOI: 10.1016/j.agrcom.2025.100084
Diyi Fu , Bochen Jiang
Liquid–liquid phase separation (LLPS) is recognized as a key process for the efficient organization of macromolecules, including numerous proteins and nucleic acids, within cells, facilitating the formation and function of various membraneless organelles. Growing evidence shows that environmental cues, including light, temperature, hormones, and pathogens, trigger the LLPS of phase-separating proteins with intrinsically disordered or multimerization regions, thereby modulating plant growth and development. Proteins involved in phase separation form distinct biomolecular condensates localized across subcellular compartments, from the nucleus to the cytoplasm and organelles. Here, we summarize the plant condensates assembled by LLPS, with a focus on those that regulate gene expression either directly or indirectly through mechanisms such as DNA epigenetics, transcription, mRNA methylation, and RNA metabolism. These findings underscore the potential of exploiting reversible protein phase separation for plant engineering to enhance crop yield and stress tolerance.
液-液相分离(LLPS)被认为是细胞内大分子(包括许多蛋白质和核酸)高效组织的关键过程,促进了各种无膜细胞器的形成和功能。越来越多的证据表明,环境因素,包括光、温度、激素和病原体,可以触发具有内在无序或多聚区域的相分离蛋白的LLPS,从而调节植物的生长和发育。参与相分离的蛋白质形成不同的生物分子凝聚体,分布在亚细胞区室中,从细胞核到细胞质和细胞器。在此,我们总结了由LLPS组装的植物凝聚体,重点介绍了那些通过DNA表观遗传学、转录、mRNA甲基化和RNA代谢等机制直接或间接调节基因表达的植物凝聚体。这些发现强调了利用可逆蛋白相分离技术进行植物工程以提高作物产量和抗逆性的潜力。
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引用次数: 0
A unified strategy for addressing climate change, improving public health, and mitigating environmental degradation 应对气候变化、改善公共卫生和减轻环境退化的统一战略
Pub Date : 2025-06-01 DOI: 10.1016/j.agrcom.2025.100090
Sierra M. Silverwood , Katie E. Lichter , Helena S. Kleiner , Tamiko R. Katsumoto
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引用次数: 0
Germination fitness differs between penoxsulam resistant and susceptible Echinochloa phyllopogon biotypes 戊诺舒南抗性和敏感叶根棘球藻生物型之间的萌发适应性差异
Pub Date : 2025-06-01 DOI: 10.1016/j.agrcom.2025.100088
Haitao Gao , Jie Li , Jiaxing Yu , Yucheng Gu , Hongchun Wang , Liyao Dong
Echinochloa phyllopogon, a malignant weed that mostly reproduces through self-pollination in the paddy fields of Northeast China, currently presents critical resistance concerns. Multiple herbicide-resistant individuals were identified within the same population, and seeds from each biotype were propagated for three generations. Three biotypes resistant to penoxsulam exhibited varying degrees of cross-resistance to other acetolactate synthase (ALS) inhibitors. Sequencing results indicated that F4 generation seeds were homozygous with stably inherited mutations. A derived cleaved amplified polymorphic sequences (dCAPS) method was consistent with the sequencing results and can quickly and accurately detect specific ALS mutations in E. phyllopogon. Seed germination experiments revealed that at 200 ​mM NaCl concentration, the tE50 values of RNTSR (non-target-site resistance) and R197 (target-site resistance carrying ​Pro-197-Thr mutation) biotypes were 11.37 and ​> ​14 days, respectively, with mean germination times of 10.32 and 8.66 days, both longer than that of the susceptible (S) biotype. Under osmotic potential and soil burial conditions, the RNTSR biotype exhibited lower germination and emergence rates than the S biotype. Overall, RNTSR and R197 biotypes displayed significant germination fitness costs under extreme environmental conditions (e.g., temperature, salt concentration, osmotic potential, and burial depth) compared with S biotypes. This study elucidates the relationship between specific herbicide target enzyme mutations and weed germination fitness, providing theoretical guidance for in-field management of resistant E. phyllopogon.
毛叶棘球藻(Echinochloa phyllopogon)是一种主要通过自花授粉繁殖的东北水田恶性杂草,目前存在严重的抗性问题。在同一种群中鉴定出多个抗除草剂个体,并将每个生物型的种子传代三代。对培诺舒朗耐药的三种生物型对其他乙酰乳酸合酶(ALS)抑制剂表现出不同程度的交叉耐药。测序结果表明,F4代种子为纯合子,遗传突变稳定。衍生的cleaved amplified polymorphic sequences (dCAPS)方法与测序结果一致,能够快速、准确地检测出毛竹的ALS特异性突变。种子萌发试验结果表明,在200 mM NaCl浓度下,RNTSR(非靶点抗性)和R197(携带Pro-197-Thr突变的靶点抗性)生物型的tE50值分别为11.37和>;平均萌发时间分别为10.32和8.66 d,均较感生型(S)长。在渗透势和土壤埋藏条件下,RNTSR生物型的萌发率和出苗率低于S生物型。总体而言,与S生物型相比,RNTSR和R197生物型在极端环境条件下(如温度、盐浓度、渗透势和埋深)表现出显著的发芽适应性成本。本研究阐明了除草剂特异靶酶突变与杂草萌发适宜性的关系,为田间防治毛叶纵缕草提供理论指导。
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引用次数: 0
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Agriculture Communications
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