DIGITAL REVOLUTION IN PLANT BREEDING: A COMPREHENSIVE REVIEW OF METHODOLOGIES, TOOLS, APPLICATIONS, AND FUTURE PERSPECTIVES DOI Open Access

Sirigiri Naveen Kumar Reddy,

Puneet Walia,

Sanjeet Singh Sandal

et al.

Asian Journal of Microbiology Biotechnology and Environmental Sciences, Journal Year: 2023, Volume and Issue: 25(04), P. 629 - 632

Published: Jan. 1, 2023

Digital breeding integrates modern technologies like genomics, bioinformatics, and data analytics into conventional plant breeding. It accelerates the process, improves selection effectiveness, enhances crop yield quality. High-throughput genotyping phenotyping enable efficient analysis of large populations rapid characterization traits. Genomic aid in predicting values analyzing extensive for trait improvement. applications include accelerated cycles, trait-based breeding, disease resistance, stress tolerance, nutritional quality enhancement, remote sensing, prediction, multi-environment testing, precision prospects involve integrating multiple omics technologies, developing precise phenotypic prediction models, fostering sharing collaboration. can greatly improve programs address global food security challenges.Digital challenges.

Language: Английский

Comprehensive in silico characterization of soybean (Glycine max L.) isoflavone reductase genes and their expressions in response to spermidine and ultrasonication DOI Creative Commons
Hafiz Muhammad Rizwan, Jiayi He, Muhammad Amjad Nawaz

et al.

Plant Stress, Journal Year: 2024, Volume and Issue: 11, P. 100392 - 100392

Published: Feb. 8, 2024

Soybean (Glycine max L.) is a globally important industrial legume crop that provides several dietary components but faces growth challenges under various stresses, cause production and economic losses. Isoflavone reductase (IFR) key gene involved in isoflavonoid biosynthesis response to plant stresses. However, IFR genes remain unexplored the soybean genome. In this study, 37 were identified comprehensively characterized for first time All GmIFR proteins contained NmrA conserved domains with diverse physicochemical properties including 1 9 motifs, 10 exons. Chromosomal distribution revealed 11 located on chromosomes 11. Cis-element analysis unveiled role phytohormones stress responses. Synteny 13 segmental 2 tandem duplicates purifying selection. Additionally, 118 gma-miRNAs from 76 families be targeting all genes. Potential transcription factors ERF, MYB, Dof, BBR-BPC, bHLHs predicted visualized network interacting The annotation results exhibit highly related of metabolites, phenylpropanoid pathway, FPKM expression data highlighted significant upregulation tissues different conditions. qRT-PCR exhibited most genes, mainly GmIFR9/17 GmIFR36 upregulated cotyledon followed by hypocotyl root spermidine ultrasonication treatments than control, suggesting their developmental processes soybean. These findings laid foundation further functional studies elucidate contributions improvement adverse

Language: Английский

Citations

3

Harnessing Multi-Omics Strategies and Bioinformatics Innovations for Advancing Soybean Improvement: A Comprehensive Review DOI Creative Commons
Siwar Haidar,

Julia Hooker,

Simon Lackey

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(19), P. 2714 - 2714

Published: Sept. 28, 2024

Soybean improvement has entered a new era with the advent of multi-omics strategies and bioinformatics innovations, enabling more precise efficient breeding practices. This comprehensive review examines application approaches in soybean-encompassing genomics, transcriptomics, proteomics, metabolomics, epigenomics, phenomics. We first explore pre-breeding genomic selection as tools that have laid groundwork for advanced trait improvement. Subsequently, we dig into specific contributions each -omics field, highlighting how resources facilitated generation integration multifaceted data. The emphasizes power integrating datasets to elucidate complex traits drive development superior soybean cultivars. Emerging trends, including novel computational techniques high-throughput technologies, are discussed context their potential revolutionize breeding. Finally, address challenges associated propose future directions overcome these hurdles, aiming accelerate pace serves crucial resource researchers breeders seeking leverage enhanced productivity resilience.

Language: Английский

Citations

2

Omic tools in understanding stress tolerance in grasses DOI
Anita Kumari, Jhilmil Nath, Suman Gusain

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 255 - 268

Published: Jan. 1, 2024

Language: Английский

Citations

0

Role of omics tools in understanding the stress tolerance in legumes DOI

Shilky,

Subhashree Patra, Anwesha Chakraborty

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 215 - 226

Published: Jan. 1, 2024

Language: Английский

Citations

0

Unravelling soybean responses to early and late Tetranychus urticae (Acari: Tetranychidae) infestation DOI
Kettlin Ruffatto,

Luiz Carlos Oliveira da Silva,

Cleo de Oliveira Neves

et al.

Plant Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 9, 2024

Abstract Soybean is a crucial source of food, protein, and oil worldwide that facing challenges from biotic stresses. Infestation Tetranychus urticae Koch (Acari: Tetranychidae) stands out as detrimentally affecting plant growth grain production. Understanding soybean responses to T. infestation pivotal for unravelling the dynamics mite–plant interactions. We evaluated physiological molecular plants mite after 5 21 days. employed visual/microscopy observations leaf damage, H 2 O accumulation, lipid peroxidation. Additionally, impact on shoot length/dry weight, chlorophyll concentration, development stages was analysed. Proteomic analysis identified differentially abundant proteins (DAPs) early (5 days) late (21 infestation. Furthermore, GO, KEGG, protein–protein interaction analyses were performed understand effects metabolic pathways. Throughout analysed period, symptoms peroxidation consistently increased. Mite reduced stage duration. Proteomics revealed 185 266 DAPs infestation, respectively, indicating complex remodelling Photorespiration, synthesis, amino acid metabolism, Krebs cycle/energy production impacted both specific pathways modified only or This study underscores detrimental physiology metabolism. offer potential in breeding programs enhanced resistance. Overall, this research highlights nature response providing insights intervention strategies.

Language: Английский

Citations

0

Comparative Analysis of Two Soybean Cultivars Revealed Tolerance Mechanisms Underlying Soybean Adaptation to Flooding DOI Creative Commons
Xiaobo Yu,

Jiangang An,

Jian Liang

et al.

Current Issues in Molecular Biology, Journal Year: 2024, Volume and Issue: 46(11), P. 12442 - 12456

Published: Nov. 4, 2024

Flooding stress poses a significant challenge to soybean cultivation, impacting plant growth, development, and ultimately yield. In this study, we investigated the responses of two distinct cultivars: flooding-tolerant Nanxiadou 38 (ND38) flooding-sensitive 45 (ND45). To achieve this, healthy seedlings were cultivated with water surface consistently maintained at 5 cm above soil surface. Our objective was elucidate physiological molecular adaptations cultivars. Under flooding stress, both cultivars exhibited dwarfing notable decrease in root length. While there no differences dry weight aboveground shoots, underground shoots ND38 strikingly decreased following flooding. Additionally, total chlorophyll content significantly indicating impaired photosynthetic performance Moreover, malondialdehyde (MDA) levels increased after flooding, particularly ND45 cultivar, suggesting heightened oxidative stress. Expression analysis methylation demethylation genes indicated that

Language: Английский

Citations

0

Effects of Seasonal Climates and MIPS Mutations on Soybean Germination through Multi-Omics Analysis DOI Creative Commons

Huakun Yu,

Longming Zhu, Yuhao Chen

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 19, 2024

Abstract This study delves into the combined effects of seasonal climate variations and MIPS gene mutations on germination rates soybean cultivars TW-1 TW75. Through comprehensive metabolomic transcriptomic analyses, we identified key KEGG pathways significantly affected by these factors, including starch sucrose metabolism, lipid amino acid biosynthesis. These were notably disrupted during spring, leading to an imbalance in metabolic reserves critical for seedling development. Additionally, further altered pathways, exacerbating disturbances. Our results underscore intricate network environmental genetic interactions influencing seed vigor importance understanding enhance agricultural resilience quality fluctuating climates.

Language: Английский

Citations

0

Integrative Analysis of Multi Omic Data DOI

Zhao Yue,

Zeti‐Azura Mohamed‐Hussein

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0

Effects of seasonal climates and MIPS1 mutations on soybean germination through multi-omics analysis DOI Creative Commons

Huakun Yu,

Longming Zhu, Yuhao Chen

et al.

BMC Plant Biology, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 23, 2024

This study delves into the combined effects of seasonal climate variations and MIPS1 gene mutations on germination rates soybean cultivars TW-1 TW75. Through comprehensive metabolomic transcriptomic analyses, we identified key KEGG pathways significantly affected by these factors, including starch sucrose metabolism, lipid amino acid biosynthesis. These were notably disrupted during spring, leading to an imbalance in metabolic reserves critical for seedling development. Additionally, further altered pathways, exacerbating disturbances. Our results underscore intricate network environmental genetic interactions influencing seed vigor importance understanding enhance agricultural resilience quality fluctuating climates.

Language: Английский

Citations

0

DIGITAL REVOLUTION IN PLANT BREEDING: A COMPREHENSIVE REVIEW OF METHODOLOGIES, TOOLS, APPLICATIONS, AND FUTURE PERSPECTIVES DOI Open Access

Sirigiri Naveen Kumar Reddy,

Puneet Walia,

Sanjeet Singh Sandal

et al.

Asian Journal of Microbiology Biotechnology and Environmental Sciences, Journal Year: 2023, Volume and Issue: 25(04), P. 629 - 632

Published: Jan. 1, 2023

Digital breeding integrates modern technologies like genomics, bioinformatics, and data analytics into conventional plant breeding. It accelerates the process, improves selection effectiveness, enhances crop yield quality. High-throughput genotyping phenotyping enable efficient analysis of large populations rapid characterization traits. Genomic aid in predicting values analyzing extensive for trait improvement. applications include accelerated cycles, trait-based breeding, disease resistance, stress tolerance, nutritional quality enhancement, remote sensing, prediction, multi-environment testing, precision prospects involve integrating multiple omics technologies, developing precise phenotypic prediction models, fostering sharing collaboration. can greatly improve programs address global food security challenges.Digital challenges.

Language: Английский

Citations

0