| Autor: |
Siwar Haidar, Julia Hooker, Simon Lackey, Mohamad Elian, Nathalie Puchacz, Krzysztof Szczyglowski, Frédéric Marsolais, Ashkan Golshani, Elroy R. Cober, Bahram Samanfar |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Plants, Vol 13, Iss 19, p 2714 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2223-7747 |
| DOI: |
10.3390/plants13192714 |
| Popis: |
Soybean improvement has entered a new era with the advent of multi-omics strategies and bioinformatics innovations, enabling more precise and efficient breeding practices. This comprehensive review examines the application of multi-omics approaches in soybean—encompassing genomics, transcriptomics, proteomics, metabolomics, epigenomics, and phenomics. We first explore pre-breeding and genomic selection as tools that have laid the groundwork for advanced trait improvement. Subsequently, we dig into the specific contributions of each -omics field, highlighting how bioinformatics tools and resources have facilitated the generation and integration of multifaceted data. The review emphasizes the power of integrating multi-omics datasets to elucidate complex traits and drive the development of superior soybean cultivars. Emerging trends, including novel computational techniques and high-throughput technologies, are discussed in the context of their potential to revolutionize soybean breeding. Finally, we address the challenges associated with multi-omics integration and propose future directions to overcome these hurdles, aiming to accelerate the pace of soybean improvement. This review serves as a crucial resource for researchers and breeders seeking to leverage multi-omics strategies for enhanced soybean productivity and resilience. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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