Regulatory mechanisms and breeding strategies for crop drought resistance

New Crops, Journal Year: 2024, Volume and Issue: 1, P. 100029 - 100029

Published: May 24, 2024

Drought is a primary abiotic stress affecting crops, leading to plant stomatal closure, reduced photosynthetic capacity, and yields or even harvest failure. Severe drought can adversely impact agricultural production, ecosystems, socio-economic capacities. Recently, researchers have studied the regulatory mechanisms of crop resistance cloned hundreds genes via genetic molecular approaches. However, limited number been successfully employed in breeding, suggesting that regulation too complex. More work must be done fully understand networks responses breed drought-resistant high-yield varieties. This review outlines current achievements investigating responses, particularly by phytohormones at transcriptional, post-translational, epigenetic levels responses. Finally, we examine problems potential solutions breeding propose strategies for improvement.

Language: Английский

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Crop root system architecture in drought response

Journal of genetics and genomics/Journal of Genetics and Genomics, Journal Year: 2024, Volume and Issue: unknown

Published: May 1, 2024

Drought is a natural disaster that has profound impact on global agricultural production, significantly reduces crop yields and thereby poses severe threat to worldwide food security. Addressing the challenge of effectively improving drought resistance (DR) mitigate yield loss under conditions issue. An optimal root system architecture (RSA) plays pivotal role in enhancing crops' capacity efficiently uptake water nutrients, which consequently strengthens their resilience against environmental stresses. In this review, we discuss compositions roles RSA summarize most recent developments augmenting tolerance crops by manipulating RSA-related genes. Based current research, propose potential configuration could be helpful DR. Lastly, discussed existing challenges future directions for breeding with enhanced DR capabilities through genetic improvements targeting RSA.

Language: Английский

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Crop root system phenotyping with high water-use efficiency and its targeted precision regulation: Present and prospect

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 309, P. 109327 - 109327

Published: Jan. 29, 2025

Language: Английский

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A review on regulatory aspects, challenges and public perception in acceptance of genetically modified foods

Food Science and Biotechnology, Journal Year: 2024, Volume and Issue: 33(4), P. 791 - 804

Published: Jan. 30, 2024

Language: Английский

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Evolution and subfunctionalization of CIPK6 homologous genes in regulating cotton drought resistance

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: July 8, 2024

Abstract The occurrence of whole-genome duplication or polyploidy may promote plant adaptability to harsh environments. Here, we clarify the evolutionary relationship eight GhCIPK6 homologous genes in upland cotton ( Gossypium hirsutum ). Gene expression and interaction analyses indicate that show significant functional changes after polyploidy. Among these, GhCIPK6D1 GhCIPK6D3 are significantly up-regulated by drought stress. Functional studies reveal high promotes sensitivity, while tolerance, indicating clear differentiation. Genetic biochemical confirm synergistic negative positive regulation resistance through GhCBL1A1-GhCIPK6D1 GhCBL2A1-GhCIPK6D3, respectively, regulate stomatal movement controlling directional flow K + guard cells. These results differentiated roles response stress following work provides a different perspective for exploring functionalization subfunctionalization duplicated polyploidization.

Language: Английский

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ZmC2H2‐149 negatively regulates drought tolerance by repressing ZmHSD1 in maize

Plant Cell & Environment, Journal Year: 2024, Volume and Issue: 47(3), P. 885 - 899

Published: Jan. 1, 2024

Abstract Drought is a major abiotic stress that limits maize production worldwide. Therefore, it of great importance to improve drought tolerance in crop plants for sustainable agriculture. In this study, we examined the roles Cys 2 /His zinc‐finger‐proteins (C2H2‐ZFPs) maize's as C2H2‐ZFPs have been implicated plant tolerance. By subjecting 150 Ac/Ds mutant lines stress, successfully identified Ds ‐insertion mutant, zmc2h2‐149 , which shows increased stress. Overexpression ZmC2H2‐149 led decrease both and yield. DAP‐Seq, RNA‐Seq, Y1H LUC assays additionally showed directly suppresses expression positive regulator, ZmHSD1 (hydroxysteroid dehydrogenase 1). Consistently, zmhsd1 mutants exhibited decreased grain yield under water deficit conditions compared their respective wild‐type plants. Our findings thus demonstrated can regulate maize, offering valuable theoretical genetic resources breeding programmes aim improving

Language: Английский

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Drone-Based Multispectral Remote Sensing Inversion for Typical Crop Soil Moisture under Dry Farming Conditions

Agriculture, Journal Year: 2024, Volume and Issue: 14(3), P. 484 - 484

Published: March 16, 2024

Drone multispectral technology enables the real-time monitoring and analysis of soil moisture across vast agricultural lands. overcoming time-consuming, labor-intensive, spatial discontinuity constraints traditional methods. This study establishes a rapid inversion model for deep (0–200 cm) in dryland agriculture using data from drone-based remote sensing. Maize, millet, sorghum, potatoes were selected this study, with data, canopy leaf, content at various depths collected every 3 to 6 days. Vegetation indices highly correlated crop leaf (p < 0.01) identified Pearson correlation analysis, leading development linear nonlinear regression models predicting leaves soil. The results show significant between predicted actual levels four crops, according chosen vegetation indices. use predict surface (0–20 demonstrated enhanced accuracy. designed top 20 cm successfully estimated (up 200 all crops. range showed improvements over 10 model, increases Root Mean Square Error (RMSE), Absolute (MAE), Coefficient Determination (R2), Nash–Sutcliffe Efficiency (NSE) by 0.4, 0.8, 0.73, 0.34, respectively, corn area; 0.28, 0.69, 0.48, 0.25 millet 0.22, 0.52 sorghum 1.14, 0.81, 0.56 potato area, an average Relative (RE) less than 10% Using technology, forecasts water via index facilitating swift effective inversion. research introduces novel method managing resources, providing scientific basis precision farming variation areas.

Language: Английский

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Meta-Quantitative Trait Loci Analysis and Candidate Gene Mining for Drought Tolerance-Associated Traits in Maize (Zea mays L.)

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(8), P. 4295 - 4295

Published: April 12, 2024

Drought is one of the major abiotic stresses with a severe negative impact on maize production globally. Understanding genetic architecture drought tolerance in crucial step towards breeding drought-tolerant varieties and targeted exploitation resources. In this study, 511 quantitative trait loci (QTL) related to grain yield components, flowering time, plant morphology under conditions, as well index were collected from 27 published studies then projected IBM2 2008 Neighbors reference map for meta-analysis. total, 83 meta-QTL (MQTL) associated identified, which 20 determined core MQTL. The average confidence interval MQTL was strongly reduced compared that previously QTL. Nearly half confirmed by co-localized marker-trait associations genome-wide association studies. Based alignment rice proteins tolerance, 63 orthologous genes identified near Furthermore, 583 candidate within regions maize–rice homologous genes. KEGG analysis genes, hormone signaling pathways found be significantly enriched. can have direct or indirect effects also interact other pathways. conclusion, study provides novel insights into molecular mechanisms more improvement important breeding.

Language: Английский

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GWAS and transcriptome analyses unravel ZmGRAS15 regulates drought tolerance and root elongation in maize

BMC Genomics, Journal Year: 2025, Volume and Issue: 26(1)

Published: March 13, 2025

Drought is a major abiotic stress affecting maize development and growth. Unravelling the molecular mechanisms underlying drought tolerance enhancing of great importance. However, due to complexity genome multiplicity mechanisms, identifying genetic effects remains challenging. Using mixed linear model (MLM) based on 362 inbred lines, we identified 40 associated loci 150 candidate genes with survival rates. Concurrently, transcriptome analysis was conducted for five - tolerant sensitive lines under Well-Watered (WW) Water-Stressed (WS) conditions. Additionally, through co-expression network (WGCNA), modules significantly leaf relative water content (RWC) treatment. By integrating results GWAS, DEGs, WGCNA, four (Zm00001d006947, Zm00001d038753, Zm00001d003429 Zm00001d003553) rate were successfully identified. Among them, ZmGRAS15 (Zm00001d003553), GRAS transcription factor considered as key hub gene, selected further functional validation. The overexpression in could enhance regulating primary root length at seedling stage. This study provides valuable information understanding basis gene resources breeding.

Language: Английский

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Drought stress memory in maize: understanding and harnessing the past for future resilience

Plant Cell Reports, Journal Year: 2025, Volume and Issue: 44(5)

Published: April 25, 2025

Language: Английский

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