Published: Jan. 1, 2025
Language: Английский
Published: Jan. 1, 2025
Language: Английский
Genes, Journal Year: 2023, Volume and Issue: 14(6), P. 1281 - 1281
Published: June 16, 2023
The present day's ongoing global warming and climate change adversely affect plants through imposing environmental (abiotic) stresses disease pressure. major abiotic factors such as drought, heat, cold, salinity, etc., hamper a plant's innate growth development, resulting in reduced yield quality, with the possibility of undesired traits. In 21st century, advent high-throughput sequencing tools, state-of-the-art biotechnological techniques bioinformatic analyzing pipelines led to easy characterization plant traits for stress response tolerance mechanisms by applying 'omics' toolbox. Panomics pipeline including genomics, transcriptomics, proteomics, metabolomics, epigenomics, proteogenomics, interactomics, ionomics, phenomics, have become very handy nowadays. This is important produce climate-smart future crops proper understanding molecular responses genes, transcripts, proteins, epigenome, cellular metabolic circuits resultant phenotype. Instead mono-omics, two or more (hence 'multi-omics') integrated-omics approaches can decipher well. Multi-omics-characterized be used potent genetic resources incorporate into breeding program. For practical utility crop improvement, multi-omics particular combined genome-assisted (GAB) being pyramided improved yield, food quality associated agronomic open new era omics-assisted breeding. Thus, together are able processes, biomarkers, targets engineering, regulatory networks precision agriculture solutions crop's variable ensure security under changing circumstances.
Language: Английский
Citations
92Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 14
Published: Jan. 5, 2024
Global agricultural production must double by 2050 to meet the demands of an increasing world human population but this challenge is further exacerbated climate change. Environmental stress, heat, and drought are key drivers in food security strongly impacts on crop productivity. Moreover, global warming threatening survival many species including those which we rely for production, forcing migration cultivation areas with impoverishing environment genetic variability fall out effects security. This review considers relationship climatic changes their bearing sustainability natural ecosystems, as well role omics-technologies, genomics, proteomics, metabolomics, phenomics ionomics. The use resource saving technologies such precision agriculture new fertilization discussed a focus breeding plants higher tolerance adaptability mitigation tools changes. Nevertheless, exposed multiple stresses. study lays basis proposition novel research paradigm referred holistic approach that went beyond exclusive concept yield, included sustainability, socio-economic commercialization, agroecosystem management.
Language: Английский
Citations
45Biotechnology Advances, Journal Year: 2025, Volume and Issue: unknown, P. 108520 - 108520
Published: Jan. 1, 2025
Language: Английский
Citations
3South African Journal of Botany, Journal Year: 2023, Volume and Issue: 161, P. 258 - 268
Published: Aug. 18, 2023
Language: Английский
Citations
37Nucleic Acids Research, Journal Year: 2023, Volume and Issue: 52(D1), P. D1639 - D1650
Published: Oct. 9, 2023
Abstract Advanced multi-omics technologies offer much information that can uncover the regulatory mechanisms from genotype to phenotype. In soybean, numerous databases have been published. Although they cover multiple omics, there are still limitations when it comes types and scales of omics datasets analysis methods utilized. This study aims address these by collecting integrating a comprehensive set datasets. includes 38 genomes, transcriptomes 435 tissue samples, 125 phenotypes 6686 accessions, epigenome data involving histone modification, transcription factor binding, chromosomal accessibility interaction, as well genetic variation 24 501 soybean accessions. Then, common pipelines statistical were applied mine datasets, resulting in successful establishment user-friendly database called SoyMD (https://yanglab.hzau.edu.cn/SoyMD/#/). provides researchers with efficient query options tools, allowing them swiftly access relevant conduct analyses. Another notable feature is its capability facilitate candidate genes, demonstrated case on seed oil content. highlights immense potential breeding functional genomics research.
Language: Английский
Citations
25New Crops, Journal Year: 2024, Volume and Issue: 1, P. 100030 - 100030
Published: June 2, 2024
Root system architecture, a crucial agronomic trait for sustainable crop production, is influenced by variety of internal developmental signals and external environmental factors. In this review, we highlight recent advancements in understanding the molecular mechanisms behind root meristem maintenance, cell differentiation, lateral growth, hair development, crown formation. Additionally, explore how abiotic stresses such as drought, salinity, nitrate deficiency, aluminum toxicity impact architecture. We identify key target genes that regulate offering potential targets genome editing future improvement. Finally, discuss opportunities challenges de novo design
Language: Английский
Citations
16The Plant Journal, Journal Year: 2024, Volume and Issue: 119(5), P. 2168 - 2180
Published: July 11, 2024
SUMMARY Mass spectrometry imaging (MSI) has become increasingly popular in plant science due to its ability characterize complex chemical, spatial, and temporal aspects of metabolism. Over the past decade, as emerging unique features various MSI techniques have continued support new discoveries studies metabolism closely associated with function physiology, spatial metabolomics based on positioned it at forefront metabolic studies, providing opportunity for far higher resolution than was previously available. Despite these efforts, profound challenges levels resolution, sensitivity, quantitative ability, chemical confidence, isomer discrimination, multi‐omics integration, undoubtedly remain. In this Perspective, we provide a contemporary overview emergent widely used sciences, particular emphasis recent advances methodological breakthroughs. Having established detailed context MSI, outline both golden opportunities key currently facing metabolomics, presenting our vision how enormous potential technologies will contribute progress coming years.
Language: Английский
Citations
11International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 2030 - 2030
Published: Feb. 26, 2025
Molecular genetics aims to understand the genetic principles and functions of genes at molecular level, while plant breeding apply this information improve traits develop new crop varieties with desired characteristics [...].
Language: Английский
Citations
1Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15
Published: May 22, 2024
Editorial: Applications of artificial intelligence, machine learning, and deep learning in plant breeding
Language: Английский
Citations
8Physiologia Plantarum, Journal Year: 2024, Volume and Issue: 176(3)
Published: May 1, 2024
Abstract Millets, comprising a diverse group of small‐seeded grains, have emerged as vital crops with immense nutritional, environmental, and economic significance. The comprehension complex traits in millets, influenced by multifaceted genetic determinants, presents compelling challenge opportunity agricultural research. This review delves into the transformative roles phenomics genomics deciphering these intricate architectures. On front, high‐throughput platforms generate rich datasets on plant morphology, physiology, performance environments. data, coupled field trials controlled conditions, helps to interpret how environment interacts genetics. Genomics provides underlying blueprint for traits. Genome sequencing genotyping technologies illuminated millet genome landscape, revealing gene pools evolutionary relationships. Additionally, different omics approaches unveil information expression, protein function, metabolite accumulation driving phenotypic expression. multi‐omics approach is crucial identifying candidate genes unfolding pathways governing highlights synergy between genomics. Genomically informed phenotyping targets specific traits, reducing breeding size cost. Conversely, identifies promising germplasm genomic analysis, prioritizing variants superior performance. dynamic interplay accelerates programs facilitates development climate‐smart, nutrient‐rich varieties hybrids. In conclusion, this emphasizes unlocking enigma millets.
Language: Английский
Citations
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