Published: Jan. 1, 2024
Language: Английский
Plant Stress, Journal Year: 2023, Volume and Issue: 10, P. 100227 - 100227
Published: Sept. 17, 2023
Global crop production is facing a myriad of challenges and obstacles to achieving food security in the near future. Among all challenges, heat stress (HS) one them. In HS, temperature prime factor responsible for affecting optimum growth plants. Higher temperatures lead changes plants' functional processes negatively affect plant productivity. most plants, reproductive stage sensible greatly hampered by HS. However, some mechanisms were developed mitigate drastic impacts Although, there massive gap sustainability goal under climate change scenario. By considering these facts, present analysis deals with impact HS on vital such as water nutritional status, assimilate partitioning, photosynthetic activity, yield, oxidative damages. This review further discussed molecular shock proteins (HSPs) including sHSPs, HSP60, HSP70, HSP90, HSP100 tolerance. also highlights advanced techniques genome editing, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) omics that open exciting avenues several directions related tolerance mechanisms. Further, this gathered information help understanding recent advances through HSPs, which could used developing future strategies warming temperatures. Moreover, supports breeding program high-temperature tolerant lines.
Language: Английский
Citations
28
Plants, Journal Year: 2024, Volume and Issue: 13(15), P. 2022 - 2022
Published: July 23, 2024
Climate change presents numerous challenges for agriculture, including frequent events of plant abiotic stresses such as elevated temperatures that lead to heat stress (HS). As the primary driving factor climate change, HS threatens global food security and biodiversity. In recent years, have negatively impacted physiology, reducing plant's ability maintain disease resistance resulting in lower crop yields. Plants must adapt their priorities toward defense mechanisms tolerate challenging environments. Furthermore, selective breeding long-term domestication higher yields made varieties vulnerable multiple stressors, making them more susceptible events. Studies on predict concurrent biotic will become severe future, potentially occurring simultaneously or sequentially. While most studies focused singular effects systems examine how plants respond specific stresses, simultaneous occurrence pose a growing threat agricultural productivity. Few explored interactions between plant-biotic interactions. Here, we aim shed light physiological molecular (bacteria, fungi, oomycetes, nematodes, insect pests, pollinators, weedy species, parasitic plants), well combined impact growth We also advances designing developing various strategies address multi-stress scenarios related factors.
Language: Английский
Citations
14
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1890 - 1890
Published: Feb. 12, 2025
The prediction of grain protein function is essential for the advancement food science. Traditional experimental methods are associated with high costs and significant time requirements. Computational recognized their efficiency reduced demands. A new multimodal deep learning method, MMSNet, proposed in this study, data four types grains (japonica, indica, maize, wheat) analyzed. This method fuses structure information predicted by AlphaFold2 combines a multiscale one-dimensional convolutional neural network (1DCNN) two-dimensional (2DCNN) to enable model capture sequence structural effectively. We used residual attention mechanism replace traditional pooling layer, thereby improving feature extraction capability layers 2DCNN. results indicate that secondary spatial contribute performance. Compared two classical methods, MMSNet demonstrates optimal performance, which validates effectiveness our approach integrating complex highlights its potential open avenues prediction.
Language: Английский
Citations
1
Journal of Sustainable Agriculture and Environment, Journal Year: 2025, Volume and Issue: 4(2)
Published: March 31, 2025
ABSTRACT To fulfil food and nutritional demand for nine billion people by the mid‐21st century, global production must increase 60% regardless of challenges such as environmental pollution, water scarcity land degradation. Climate change exacerbates frequency intensity biotic abiotic stresses, which, in turn, severely compromise crop yields, jeopardize supply, deteriorate sustainable development goals achieving safety, limit climate‐smart production. Current consumption practices negatively influence environment, posing a major threat to ecosystem human health. Addressing these critical issues achieve agriculture necessitates designing future crops employing cutting‐edge breeding strategies enhanced productivity with minimal footprints. This endeavour requires comprehensive understanding plant stress adaptation, signalling pathways mitigation mechanisms. In this review, we first explain diverse impacts ongoing climate events on Subsequently, outline various tackle change, including agronomic practices, advanced technologies physiological molecular mechanisms tolerance. We also discuss engineering superior tolerance disease resistance nurturing healthy microbial partnerships between plants soil ensure nutrition security current populations amidst mounting challenges.
Language: Английский
Citations
1
Rice Science, Journal Year: 2024, Volume and Issue: 31(4), P. 375 - 400
Published: Feb. 9, 2024
The yield potential of rice is seriously affected by heat stress due to climate change. Since a staple food globally, it imperative develop heat-resistant varieties. Thus, thorough understanding the underlying complex molecular mechanisms governing tolerance and impact high temperatures on various critical stages crop needed. Adoption conventional innovative breeding strategies offers long-term advantage over other methods, such as agronomic practices, counter stress. In this review, we summarize effects stress, regulatory pathways for tolerance, phenotyping strategies, methods available developing heat-tolerant rice. We offer perspectives knowledge guide future research endeavors enhancing rice's ability withstand ultimately benefit humanity.
Language: Английский
Citations
7
Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35513 - e35513
Published: Aug. 1, 2024
Conventional breeding approaches have played a significant role in meeting the food demand remarkably well until now. However, increasing population, yield plateaus certain crops, and limited recombination necessitate using genomic resources for genomics-assisted crop improvement programs. As result of advancements next-generation sequence technology, GABs developed dramatically to characterize allelic variants facilitate their rapid efficient incorporation Genomics-assisted (GAB) has an important harnessing potential modern tools, exploiting variation from genetic developing cultivars over past decade. The availability pangenomes major crops been development, albeit with varying degrees completeness. Even though adopting these technologies is essentially determined on economic grounds cost-effective assays, which create wealth information that can be successfully used exploit latent crops. GAB instrumental enhancement cultivar development. strategies will indispensable designing future are expected play crucial climate-smart higher nutritional value.
Language: Английский
Citations
5
Plant Stress, Journal Year: 2024, Volume and Issue: unknown, P. 100704 - 100704
Published: Dec. 1, 2024
Language: Английский
Citations
4
Plant Pathology, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 2, 2025
ABSTRACT Blast caused by Pyricularia oryzae (synonym Magnaporthe ) is a major fungal disease affecting productivity and quality in rice‐growing areas globally. A genome‐wide association study (GWAS) was performed using the blast score(s) whole‐genome sequence data pertaining to subset of 280 diverse accessions IRRI 3 K Rice Genome panel. Continuous variation observed, with 8.9% total resistant, 39.6% moderately 37.2% susceptible 14.2% susceptible, average severity ratings 0 3, > 5, 5 7 9, respectively, indicating polygenic inheritance trait. We identified potential different subpopulations resistance reaction (IRGC 127151 [subtrop], 127738 [ind2], 132245 [aro] 127130 [aus]), having lowest < 2. GWAS revealed significant 22 quantitative trait nucleotides (QTNs)—20 main effect two interaction effect—linked that led identification 43 plant defence‐related candidate genes. The haplo‐pheno analysis genes (LOC_Os02g06470, LOC_Os02g06510, LOC_Os07g34370, LOC_Os08g29760, LOC_Os10g07470 LOC_Os12g34290) associated superior haplotypes were play critical role defence mechanisms. resistant sources hold promise for stacking into an elite genetic background haplotype‐based breeding approach development cultivars wide range pathotypes.
Language: Английский
Citations
0
BMC Plant Biology, Journal Year: 2025, Volume and Issue: 25(1)
Published: April 28, 2025
Numerous quantitative trait loci (QTLs) and candidate genes associated with yield-related traits have been identified in barley by genome-wide association study (GWAS) analysis. However, genetic bottlenecks elite cultivars reduced diversity, limiting further yield improvements. Grain is a complex, polygenic shaped environmental factors, necessitating integrative breeding approaches. While genomic selection, marker-assisted GWAS key for traits, functional validation remains significant challenge. A total of 346 QTLs seven were GWAS, including 93 stable across multiple environments. Two major-effect spike length thousand kernel weight, along several moderate-effect QTLs, show potential breeding. Candidate gene analysis revealed 134 highly expressed linked to stress response, transport, metabolism. Notable include HORVU.MOREX.r3.5HG0514790 (growth adaptation) HORVU.MOREX.r3.2HG0212810 (seed storage protein). eight presumably novel identified. One the Hv_TKW_3H.5, had strongest effect on grain yield. The integration favorable alleles from moderate- significantly influenced weight kernels per spike. This aimed identify characterize through GWAS. Integrating transcriptomic methods suggests promising strategy selection enhance
Language: Английский
Citations
0
Plants, Journal Year: 2024, Volume and Issue: 13(9), P. 1205 - 1205
Published: April 26, 2024
Rice (Oryza sativa), as a staple crop feeding significant portion of the global population, particularly in Asian countries, faces constant threats from various diseases jeopardizing food security. A precise understanding disease resistance mechanisms is crucial for developing resilient rice varieties. Traditional genetic mapping methods, such QTL mapping, provide valuable insights into basis diseases. However, complex nature demands holistic approach to gain an accurate knowledge it. Omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, enable comprehensive analysis biological molecules, uncovering intricate molecular interactions within plant. The integration techniques using multi-omics data has revolutionized our resistance. By overlaying maps with high-throughput omics datasets, researchers can pinpoint specific genes, proteins, or metabolites associated This enhances precision disease-related biomarkers better their functional roles improvement breeding through this represents stride agricultural science because intricacies underlying architecture leads more efficient development productive In review, we explore how result transformative impact on enhancing
Language: Английский
Citations
3