Fungal spore seasons advanced across the US over two decades of climate change DOI Creative Commons
Ruoyu Wu, Yiluan Song, Jennifer R. Head

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Abstract Phenological shifts due to climate change have been extensively studied in plants and animals. Yet, the responses of fungal spores—crucial organisms that play important roles ecosystems act as airborne allergens—remain understudied. This knowledge gap global biology hinders our understanding its ecological public health implications. To bridge this gap, we acquired a long-term (2003 ∼ 2022), large-scale (the continental US) dataset spores collected by US National Allergy Bureau. We first pre-processed spore data gap-filling smoothing. Afterward, extracted ten metrics describing phenology (e.g., start end season) intensity peak concentration integral) seasons. These were derived using two complementary but not mutually exclusive approaches—ecological approaches, defined percentiles total allergenic thresholds concentration, respectively. Using linear mixed effects models, quantified annual temporal these across US. revealed significant advancement onset seasons both (11 days, 95% confidence interval: 0.4 23 days) (22 6 38 approaches over decades. Nevertheless, an cycle allergy season tended decrease time. The earlier was significantly correlated with climatic variables, such warmer temperatures altered precipitations. Overall, findings suggest possible climate-driven advanced seasons, highlighting importance mitigation adaptation decision-making.

Language: Английский

The Past, Present and Future of Plant Activator Targeting Salicylic Acid Signal Pathway DOI Open Access
Misbah Naz,

Dongqin Zhang,

Kangcen Liao

et al.

Published: July 17, 2024

Plant activators have emerged as promising alternatives to conventional pesticides for crop disease manage-ment due their unique mode of action. By priming the plant's innate immune system, these compounds can induce systemic acquired resistance against a broad spectrum pathogens without directly inhibiting proliferation. Key advantages plant include prolonged defense activity, lower effective dosages, and negligible risk developing pathogen resistance. Among various defensive pathways tar-geted, salicylic acid (SA) signaling cascade has been extensively explored, leading successful devel-opment commercial like benzothiadiazole widespread application in protection. While action sites many SA-targeting preliminarily mapped different steps along pathway, comprehensive understanding precise mechanisms remains elusive. This review provides historical perspective on activator development outlines diverse screening strategies employed across multiple levels, from whole-plant bioassays molecular transgenic approaches. We expound intricate components, biological relevance, regulatory circuits governing SA while criti-cally examining structural features, bioactivities, proposed modes classical such derivatives, analogs, other small molecules. Insights field trials as-sessing practical applicability are also discussed. Furthermore, we highlight current status, challenges, future prospects realm globally, with focus recent en-deavors China. Collectively, this aims synthesize existing knowledge provide roadmap research toward more potent mechanistically understood activa-tors that fortify immunity disease.

Language: Английский

Citations

5
Hidden Biocontrol Agents: The World of Insect-Pathogenic Fungi DOI
Kamel A. Abd–Elsalam,

Rawan K. Hassan,

Toka E. Abdelkhalek

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Algorithms for Plant Monitoring Applications: A Comprehensive Review DOI Creative Commons
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri

et al.

Algorithms, Journal Year: 2025, Volume and Issue: 18(2), P. 84 - 84

Published: Feb. 5, 2025

Many sciences exploit algorithms in a large variety of applications. In agronomy, amounts agricultural data are handled by adopting procedures for optimization, clustering, or automatic learning. this particular field, the number scientific papers has significantly increased recent years, triggered scientists using artificial intelligence, comprising deep learning and machine methods bots, to process crop, plant, leaf images. Moreover, many other examples can be found, with different applied plant diseases phenology. This paper reviews publications which have appeared past three analyzing used classifying agronomic aims crops applied. Starting from broad selection 6060 papers, we subsequently refined search, reducing 358 research articles 30 comprehensive reviews. By summarizing advantages applying analyses, propose guide farming practitioners, agronomists, researchers, policymakers regarding best practices, challenges, visions counteract effects climate change, promoting transition towards more sustainable, productive, cost-effective encouraging introduction smart technologies.

Language: Английский

Citations

0
Metal pollution-induced alterations in soil fungal community structure and functional adaptations across regional scales DOI
Xiaoting Wang, Chenghang Du, Yixuan Li

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: 494, P. 138553 - 138553

Published: May 9, 2025

Language: Английский

Citations

0
Rational design and discovery of novel hydrazide derivatives as potent succinate dehydrogenase inhibitors inspired by natural d/l‐camphor DOI
Peng Dai,

Zihua Ma,

Guangfu Yi

et al.

Pest Management Science, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 18, 2024

Abstract BACKGROUND Succinate dehydrogenase inhibitors (SDHIs) have rapidly become one of the fastest‐growing categories fungicides used against plant pathogenic fungi. Recent research advancements emphasized that structural modifications SDHIs using naturally sourced scaffolds represent an innovative strategy for developing new, highly effective, broad‐spectrum fungicides. A novel series d/l ‐camphorhydrazide derivatives potentially targeting fungal succinate (SDH) were designed, synthesized and evaluated their antifungal effects Rhizoctonia solani , Fusarium graminearum Valsa mali Botrytis cinerea . RESULTS Amongst them, compounds A1‐7 ( d ‐camphor) A2‐7 l displayed excellent in vitro activity R. with median effective concentration (EC 50 ) values 0.38 0.48 μg mL −1 which obviously superior to boscalid (0.87 ). A2‐5 ‐camphor, EC = 3.27 exhibited good V. (2.13 − 1), A2‐21 (5.2 A1‐5 (5.15 showed F. below (5.85 Preliminary mechanistic studies, scanning transmission electron microscopy, indicated compound induced disordered entanglement hyphae, shrinkage hyphal surfaces, vacuole swelling rupture, disrupted normal growth. Additionally, production accumulation reactive oxygen species, mitochondrial membrane potential, effectively inhibited germination formation sclerotia Moreover, molecular docking results SDH enzyme assays yielded promising outcomes. CONCLUSION In this study, designed optimized emerged as candidates SDH‐targeting fungicides, demonstrating strong activity. These hold potential new agents further research. © 2024 Society Chemical Industry.

Language: Английский

Citations

1
Fungal spore seasons advanced across the US over two decades of climate change DOI Creative Commons
Ruoyu Wu, Yiluan Song, Jennifer R. Head

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Abstract Phenological shifts due to climate change have been extensively studied in plants and animals. Yet, the responses of fungal spores—crucial organisms that play important roles ecosystems act as airborne allergens—remain understudied. This knowledge gap global biology hinders our understanding its ecological public health implications. To bridge this gap, we acquired a long-term (2003 ∼ 2022), large-scale (the continental US) dataset spores collected by US National Allergy Bureau. We first pre-processed spore data gap-filling smoothing. Afterward, extracted ten metrics describing phenology (e.g., start end season) intensity peak concentration integral) seasons. These were derived using two complementary but not mutually exclusive approaches—ecological approaches, defined percentiles total allergenic thresholds concentration, respectively. Using linear mixed effects models, quantified annual temporal these across US. revealed significant advancement onset seasons both (11 days, 95% confidence interval: 0.4 23 days) (22 6 38 approaches over decades. Nevertheless, an cycle allergy season tended decrease time. The earlier was significantly correlated with climatic variables, such warmer temperatures altered precipitations. Overall, findings suggest possible climate-driven advanced seasons, highlighting importance mitigation adaptation decision-making.

Language: Английский

Citations

0