Current Opinion in Plant Biology, Год журнала: 2024, Номер 82, С. 102665 - 102665
Опубликована: Ноя. 22, 2024
Язык: Английский
Horticulturae, Год журнала: 2025, Номер 11(1), С. 44 - 44
Опубликована: Янв. 6, 2025
The challenges posed by climate change have had a crucial impact on global food security, with crop yields negatively affected abiotic and biotic stresses. Consequently, the identification of stress-responsive genes (SRGs) in crops is essential for augmenting their resilience. This study presents computational model utilizing machine learning techniques to predict Chinese cabbage that respond four stresses: cold, heat, drought, salt. To construct this model, data from relevant studies regarding responses these stresses were compiled, protein sequences encoded SRGs converted into numerical representations subsequent analysis. For selected feature set, six distinct binary classification algorithms employed. results demonstrate constructed models can effectively associated types stresses, area under receiver operating characteristic curve (auROC) being 81.42%, 87.92%, 80.85%, 88.87%, respectively. each type stress, number stress-resistant was predicted, ten highest scores further facilitate implementation proposed strategy users, an online prediction server, has been developed. provides new insights approaches as well other plants.
Язык: Английский
Процитировано
0
Biology, Год журнала: 2025, Номер 14(3), С. 287 - 287
Опубликована: Март 11, 2025
Soil salinisation is threatening crop sustainability worldwide, mainly due to anthropogenic climate change. Molecular mechanisms developed counteract salinity have been intensely studied in model plants. Nevertheless, the economically relevant olive tree (Olea europaea subsp. L.), being highly exposed soil salinisation, deserves a specific review extract recent genomic advances that support known morphological and biochemical make it relative salt-tolerant crop. A comprehensive list of 98 cultivars classified by salt tolerance provided, together with available genomes genes be involved response. Na+ Cl– exclusion leaves retention roots seem most prominent adaptations, but cell wall thickening antioxidant changes are also required for tolerant Several post-translational modifications proteins emerging as key factors, microbiota amendments, making treatments biostimulants chemical compounds promising approach enable cultivation already salinised soils. Low high-throughput transcriptomics metagenomics results obtained from salt-sensitive -tolerant cultivars, future advantages engineering metacaspases programmed death autophagy pathways rapidly raise or rootstocks discussed. The overview bioinformatic tools focused on tree, combined machine learning approaches studying plant stress multi-omics perspective, indicates development adapted progressing. This could pave way ‘smart oliviculture’, promoting more productive sustainable practices under stress.
Язык: Английский
Процитировано
0
Current Plant Biology, Год журнала: 2024, Номер unknown, С. 100432 - 100432
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
1
bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown
Опубликована: Июль 12, 2023
Abstract One of the main quests plant biology is understanding how genes and metabolites work together to form complex networks that drive growth, development, responses environmental stimuli. However, ever-growing volume diversity scientific literature make it increasingly challenging stay current with latest advances in gene function studies. Here, we tackle challenge by deploying text-mining capacities large language models process over 71,000 abstracts. Our approach unveiled nearly 5 million functional relationships between a wide array biological entities—genes, metabolites, tissues, others—with high accuracy 85%. We encapsulated these findings PlantConnectome, user-friendly database, demonstrated its diverse utility providing insights into regulatory networks, protein-protein interactions, stress responses. believe this innovative use AI life sciences will allow scientists keep up date rapidly growing corpus literature. PlantConnectome available at https://plant.connectome.tools/ .
Язык: Английский
Процитировано
3
Current Opinion in Plant Biology, Год журнала: 2024, Номер 82, С. 102665 - 102665
Опубликована: Ноя. 22, 2024
Язык: Английский
Процитировано
0