Mechanistic Insights into Plant Drought Tolerance: A Multi-level Perspective DOI
Abdul Rehaman, M. Sajid Khan, Balwant Rawat

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 77(2)

Published: March 4, 2025

Language: Английский

Approaches for the amelioration of adverse effects of drought stress on soybean plants: from physiological responses to agronomical, molecular, and cutting-edge technologies DOI
Muhammad Faheem Jan, Muhammad Tanveer Altaf, Waqas Liaqat

et al.

Plant and Soil, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Language: Английский

Citations

2
New insights on biomass production in lakes: Integration of Carlson trophic state index and vertically generalized production model DOI

Mohammad Reza Badamian,

Roohollah Noori, Changhyun Jun

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113450 - 113450

Published: April 11, 2025

Language: Английский

Citations

2
Evaluation and Early Detection of Downy Mildew of Lettuce Using Hyperspectral Imagery DOI Creative Commons
Songtao Ban, Minglu Tian, Hu Dong

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(5), P. 444 - 444

Published: Feb. 20, 2025

This study combines hyperspectral imaging technology with biochemical parameter analysis to facilitate the disease severity evaluation and early detection of lettuce downy mildew. The results reveal a significant negative correlation between index (DI) levels flavonoids (r = −0.523) anthocyanins −0.746), indicating role these secondary metabolites in enhancing plant resistance. Analysis data identified that spectral regions (410–503 nm, 510–615 630–690 nm) vegetation indices like PRI ARI2 were highly correlated DI, flavonoids, anthocyanins, providing potential indicators for assessment detection. Moreover, regression models developed using Partial Least Squares (PLS), Random Forest (RF), Convolutional Neural Network (CNN) algorithms demonstrated high accuracy reliability predicting highest R2 0.857, 0.910, 0.963, respectively. classification model PLS, RF, CNN successfully detected physiological changes within 24 h post-infection (highest 0.764), offering an effective tool key parameters PLS-DA model, PRI, also strong correlations DI. These findings provide scientific basis practical tools managing mildew resistance breeding while laying foundation broader applications pathology.

Language: Английский

Citations

1
Trimethylamine-N-oxide enhances drought tolerance in Eucalyptus by increasing photosynthesis DOI
Hao Li, Hongrui Wang,

Shu-Ying Wei

et al.

Plant Physiology and Biochemistry, Journal Year: 2025, Volume and Issue: 222, P. 109768 - 109768

Published: March 7, 2025

Language: Английский

Citations

1
Cold tolerance SNPs and candidate gene mining in the soybean germination stage based on genome-wide association analysis DOI
Yuehan Chen, Zhi Liu,

Dezhi Han

et al.

Theoretical and Applied Genetics, Journal Year: 2024, Volume and Issue: 137(8)

Published: July 8, 2024

Language: Английский

Citations

6
Creating large-scale genetic diversity in Arabidopsis via base editing-mediated deep artificial evolution DOI Creative Commons

Xiang Wang,

Wenbo Pan, Chao Sun

et al.

Genome biology, Journal Year: 2024, Volume and Issue: 25(1)

Published: Aug. 9, 2024

Base editing is a powerful tool for artificial evolution to create allelic diversity and improve agronomic traits. However, the great evolutionary potential every sgRNA target has been overlooked. And there currently no high-throughput method generating characterizing as many changes in single possible based on large mutant pools permit rapid gene directed plants.

Language: Английский

Citations

6
Comparative transcriptomic insights into key genes for biomass production and lipid synthesis in Chlorella sorokiniana mutated by argon and air atmospheric and room temperature plasma at different culture stages: common mechanisms and unique differences DOI

Hongwei Li,

Xin Sun, Ranran Liu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 474, P. 143590 - 143590

Published: Sept. 7, 2024

Language: Английский

Citations

6
Transcriptome Sequencing Provides Insights into High-Temperature-Induced Leaf Senescence in Herbaceous Peony DOI Creative Commons
Mengting Zu,

Shuying Qiu,

Yi Qian

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(4), P. 574 - 574

Published: April 3, 2024

Global warming causes frequent high temperatures in summer; which negatively impacts herbaceous peonies (Paeonia lactiflora Pall.) by accelerating leaf senescence and reducing biomass accumulation, leading to reduced flower quality the subsequent year. Our findings revealed that as heat stress progressed, high-temperature-sensitive cultivar ‘Meigui Zi’ (MGZ) exhibited a higher rate of chlorophyll content reduction more pronounced premature aging symptoms than high-temperature-tolerant ‘Chi Fen’ (CF). To investigate gene expression differences between CF MGZ under high-temperature stress, we combined PacBio Iso-Seq sequencing (Iso-Seq) with next-generation (RNA-seq). Iso-seq yielded 352,891 full-length transcripts ranging from 61 bp 49,022 length. RNA-seq generated 257,562 across all samples. Further analysis differentially expressed genes (DEGs) were primarily enriched “Photosynthesis”, most photosynthesis-related DEGs highly CF. This indicates has stability its photosystem compared MGZ, is crucial for mitigating caused temperatures. Additionally, degradation stay-green (SGR) stay-green-like (SGRL) may be involved induced temperature. study preliminarily molecular mechanism high-temperature-induced peony provided candidate further studies regulation -temperature-induced senescence.

Language: Английский

Citations

5
High night temperature stress on rice (Oryza sativa) – insights from phenomics to physiology. A review DOI
Awais Riaz,

Julie Thomas,

Hafiz Haider Ali

et al.

Functional Plant Biology, Journal Year: 2024, Volume and Issue: 51(6)

Published: May 30, 2024

Rice (Oryza sativa ) faces challenges to yield and quality due urbanisation, deforestation climate change, which has exacerbated high night temperature (HNT). This review explores the impacts of HNT on physiological, molecular agronomic aspects rice growth. Rise in minimum threatens a potential 41% reduction by 2100. disrupts growth stages, causing reduced seed germination, biomass, spikelet sterility poor grain development. Recent findings indicate 4.4% decline for every 1°C increase beyond 27°C, with japonica ecotypes exhibiting higher sensitivity than indica. We examine relationships between elevated CO2 , nitrogen regimes HNT, showing that complexity balancing positive effects biomass challenges. Nitrogen enrichment proves crucial during vegetative stage but causes disruption reproductive affecting starch synthesis. Additionally, we elucidate impact plant respiration, emphasising mitochondrial photorespiration antioxidant responses. Genomic techniques, including CRISPR-Cas9, offer manipulating genes tolerance. Plant hormones carbohydrate enzymatic activities are explored, revealing their intricate roles fertility, size metabolism under HNT. Gaps understanding genetic factors influencing heat tolerance trade-offs associated hormone applications remain. The importance interdisciplinary collaboration is needed provide holistic approach. Research priorities include study regulatory mechanisms, post-anthesis effects, cumulative exposure interaction variability research direction enhance resilience changing climate.

Language: Английский

Citations

5
From the rhizosphere to plant fitness: Implications of microplastics soil pollution DOI Creative Commons

Maria Antonietta Ranauda,

Maria Tartaglia, Daniela Zuzolo

et al.

Environmental and Experimental Botany, Journal Year: 2024, Volume and Issue: 226, P. 105874 - 105874

Published: June 24, 2024

Microplastics (MPs) are a widespread contaminant in the terrestrial environment, with potential impacts on soil-plant system not yet well understood. This study explores effects of oxidised low-density polyethylene-MPs (LDPE-MPs) rhizosphere ecology and plant fitness Fragaria x ananassa (Duchesne ex Weston) Duchesne Rozier. The rhizospheric microbial community was investigated under influence 0,5% LDPE-MPs by internal transcribed spacer (ITS) 16 S rRNA metagenomic analysis; photosynthetic parameters, antioxidant enzyme activities, nutrient accumulation were assessed to evaluate physiological biochemical status. Genes related jasmonic acid (JA), ethylene biosynthesis, nitrate signalling pathways analysed define molecular response. Our results showed shift community. We identified MPs biomarkers contaminated (Fusarium, Thanatephorus Pseudallescheria) pathogenic functions two novel (Ohtaekwangia Ascobolus). pollution negatively fitness, which decreased chlorophyll b (40 48%, respectively), change content (fluctuations between 14,42 26,7%) at leaf level increased activity enzymes. Gene expression JA, nitrogen is enhanced plants grown soil, as root endophytic epiphytic microorganism interactions. demonstrate that influences functions, consequently, health.

Language: Английский

Citations

5