Natural allelic variation of GmST05 controlling seed size and quality in soybean

Plant Biotechnology Journal, Journal Year: 2022, Volume and Issue: 20(9), P. 1807 - 1818

Published: June 1, 2022

Seed size is one of the most important agronomic traits determining yield crops. Cloning key genes controlling seed and pyramiding their elite alleles will facilitate improvement. To date, few have been identified in soybean, a major crop that provides half plant oil quarter protein globally. Here, through genome-wide association study over 1800 soybean accessions, we determined natural allelic variation at GmST05 (Seed Thickness 05) predominantly controlled thickness germplasm. Further analyses suggested two haplotypes differed significantly transcriptional level. Transgenic experiments demonstrated positively regulated influenced contents, possibly by regulating transcription GmSWEET10a. Population genetic diversity analysis variations were selected during geographical differentiation but not fixed. In summary, determines levels influences quality making it an gene resource for molecular breeding.

Language: Английский

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Temperature‐smart plants: A new horizon with omics‐driven plant breeding

Physiologia Plantarum, Journal Year: 2024, Volume and Issue: 176(1)

Published: Jan. 1, 2024

Abstract The adverse effects of mounting environmental challenges, including extreme temperatures, threaten the global food supply due to their impact on plant growth and productivity. Temperature extremes disrupt genetics, leading significant issues eventually damaging phenotypes. Plants have developed complex signaling networks respond tolerate temperature stimuli, genetic, physiological, biochemical, molecular adaptations. In recent decades, omics tools other strategies rapidly advanced, offering crucial insights a wealth information about how plants adapt stress. This review explores potential an integrated omics‐driven approach understanding temperatures. By leveraging cutting‐edge methods, genomics, transcriptomics, proteomics, metabolomics, miRNAomics, epigenomics, phenomics, ionomics, alongside power machine learning speed breeding data, we can revolutionize practices. These advanced techniques offer promising pathway developing climate‐proof varieties that withstand fluctuations, addressing increasing demand for high‐quality in face changing climate.

Language: Английский

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Applications of Artificial Intelligence in Climate-Resilient Smart-Crop Breeding

International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(19), P. 11156 - 11156

Published: Sept. 22, 2022

Recently, Artificial intelligence (AI) has emerged as a revolutionary field, providing great opportunity in shaping modern crop breeding, and is extensively used indoors for plant science. Advances phenomics, enviromics, together with the other "omics" approaches are paving ways elucidating detailed complex biological mechanisms that motivate functions response to environmental trepidations. These have provided researchers precise tools evaluate important agronomic traits larger-sized germplasm at reduced time interval early growth stages. However, big data relationships within impede understanding of behind genes driving agronomic-trait formations. AI brings huge computational power many new strategies future breeding. The present review will encompass how applications technology, utilized current breeding practice, assist solve problem high-throughput phenotyping gene functional analysis, advances technologies bring opportunities make envirotyping widely Furthermore, methods, linking genotype phenotype remains massive challenge impedes optimal application field phenotyping, genomics, enviromics. In this review, we elaborate on be preferred tool increase accuracy genotyping, data; moreover, explore developing challenges multiomics computing integration. Therefore, integration can allow rapid identification eventually accelerate crop-improvement programs.

Language: Английский

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Multi-omics revolution to promote plant breeding efficiency

Frontiers in Plant Science, Journal Year: 2022, Volume and Issue: 13

Published: Dec. 8, 2022

Crop production is the primary goal of agricultural activities, which always taken into consideration. However, global systems are coming under increasing pressure from rising food demand rapidly growing world population and changing climate. To address these issues, improving high-yield climate-resilient related-traits in crop breeding an effective strategy. In recent years, advances omics techniques, including genomics, transcriptomics, proteomics, metabolomics, paved way for accelerating plant/crop to cope with climate enhance production. Optimized phenotypic plasticity platform integration, exploited by evolving machine learning algorithms will aid development biological interpretations complex traits. The precise progressive assembly desire alleles using genome editing approaches enhanced strategies would enable future crops excel combating climates. Furthermore, plant genetic engineering ensures exclusive approach developing nutrient sufficient crops, productivity can sustainably adequately meet world's food, nutrition, energy needs. This review provides overview how integration could be select varieties desired

Language: Английский

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Biotechnological Advances to Improve Abiotic Stress Tolerance in Crops

International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(19), P. 12053 - 12053

Published: Oct. 10, 2022

The major challenges that agriculture is facing in the twenty-first century are increasing droughts, water scarcity, flooding, poorer soils, and extreme temperatures due to climate change. However, most crops not tolerant climatic environments. aim near future, a world with hunger an population, breed and/or engineer tolerate abiotic stress higher yield. Some crop varieties display certain degree of tolerance, which has been exploited by plant breeders develop thrive under conditions. Moreover, long list genes involved tolerance have identified characterized molecular techniques overexpressed individually transformation experiments. Nevertheless, phenotypes polygenetic traits, current genomic tools dissecting exploit their use accelerating genetic introgression using markers or site-directed mutagenesis such as CRISPR-Cas9. In this review, we describe mechanisms sense adverse conditions examine discuss classic new select improve crops.

Language: Английский

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Integrating speed breeding with artificial intelligence for developing climate-smart crops

Molecular Biology Reports, Journal Year: 2022, Volume and Issue: 49(12), P. 11385 - 11402

Published: Aug. 8, 2022

Language: Английский

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Integrated Multi-Omics Perspective to Strengthen the Understanding of Salt Tolerance in Rice

International Journal of Molecular Sciences, Journal Year: 2022, Volume and Issue: 23(9), P. 5236 - 5236

Published: May 7, 2022

Salt stress is one of the major constraints to rice cultivation worldwide. Thus, development salt-tolerant cultivars becomes a hotspot current breeding. Achieving this goal depends in part on understanding how responds salt and uncovering molecular mechanism underlying trait. Over past decade, great efforts have been made understand tolerance through genomics, transcriptomics, proteomics, metabolomics, epigenetics. However, there are few reviews aspect. Therefore, we review research progress omics related discuss these advances will promote innovations In future, expect that integration multi-omics data can accelerate solution response stress, lay foundation for precise breeding tolerance.

Language: Английский

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Genetic regulatory networks of soybean seed size, oil and protein contents

Frontiers in Plant Science, Journal Year: 2023, Volume and Issue: 14

Published: March 7, 2023

As a leading oilseed crop that supplies plant oil and protein for daily human life, increasing yield improving nutritional quality (high or protein) are the top two fundamental goals of soybean breeding. Seed size is one most critical factors determining yield. size, contents complex quantitative traits governed by genetic environmental during seed development. The composition quantity storage reserves directly affect size. In general, make up almost 60% total seed. Therefore, soybean's oil, content highly correlated agronomical traits. Increasing helps increase probably improves quality. Similarly, rising will likely Due to importance these three in breeding, extensive studies have been conducted on their underlying trait locus (QTLs) genes dissection molecular regulatory pathways. This review summarized progress functional genome controlling recent decades, presented challenges prospects developing high-yield cultivars with high content. end, we hope this be helpful improvement future breeding process.

Language: Английский

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Modern Plant Breeding Techniques in Crop Improvement and Genetic Diversity: From Molecular Markers and Gene Editing to Artificial Intelligence—A Critical Review

Plants, Journal Year: 2024, Volume and Issue: 13(19), P. 2676 - 2676

Published: Sept. 24, 2024

With the development of new technologies in recent years, researchers have made significant progress crop breeding. Modern breeding differs from traditional because great changes technical means and concepts. Whereas initially focused on high yields, modern focuses orientations based different crops’ audiences or by-products. The process starts creation material populations, which can be constructed by natural mutagenesis, chemical physical mutagenesis transfer DNA (T-DNA), Tos17 (endogenous retrotransposon), etc. Then, gene function mined through QTL mapping, Bulked-segregant analysis (BSA), Genome-wide association studies (GWASs), RNA interference (RNAi), editing. at transcriptional, post-transcriptional, translational levels, functions genes are described terms post-translational aspects. This article mainly discusses application above scientific technological methods advantages limitations diversity. In particular, editing technology has contributed to research.

Language: Английский

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Sugarcane breeding: a fantastic past and promising future driven by technology and methods

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: March 8, 2024

Sugarcane is the most important sugar and energy crop in world. During sugarcane breeding, technology requirement methods are means. As we know, seed cornerstone of development industry. Over past century, with advancement expansion methods, breeding has continued to improve, production realized a leaping growth, providing large amount essential clean for long-term mankind development, especially face future threats world population explosion, reduction available arable land, various biotic abiotic stresses. Moreover, due narrow genetic foundation, serious varietal degradation, lack breakthrough varieties, as well long cycle low probability gene polymerization, it particularly realize leapfrog by seizing opportunity emerging Breeding 4.0, making full use modern biotechnology including but not limited whole genome selection, transgene, editing, synthetic biology, combined information such remote sensing deep learning. In view this, focus on from perspective reviewing main history, pointing out current status challenges, reasonable outlook prospects smart breeding.

Language: Английский

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