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

Feasibility of using silica (Na2SiO3 and SiO2NPs) to mitigate mercury in transgenic soybeans grown in contaminated soils and respective effects on nutrient homeostasis DOI
Vinnícius Henrique Cerqueira da Silva,

Rodrigo Faleiro de Lima,

Juliana Lischka Sampaio Mayer

et al.

Environmental Science and Pollution Research, Journal Year: 2025, Volume and Issue: 32(12), P. 7600 - 7619

Published: March 5, 2025

Language: Английский

Citations

0
Significance determination of individual metabolic abundance changes owing to environmental impacts: Factorial design t-distribution spectral representations DOI
Gustavo Galo Marcheafave, Leonardo J. Duarte, Elis Daiane Pauli

et al.

Chemometrics and Intelligent Laboratory Systems, Journal Year: 2025, Volume and Issue: unknown, P. 105413 - 105413

Published: April 1, 2025

Language: Английский

Citations

0
Assessment of the impact of biodegradable lignin nanoparticles encapsulating IAA on tomato development: from seed to fruit DOI Creative Commons
Rodrigo Faleiro, Magda Andréia Tessmer, Anderson do Espírito Santo Pereira

et al.

BMC Plant Biology, Journal Year: 2025, Volume and Issue: 25(1)

Published: June 5, 2025

Language: Английский

Citations

0
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