Files and links (1)
CC BY V4.0, Open Access
Journal article
Exploring the genomics of abiotic stress tolerance and crop resilience to climate change
The plant genome, Vol.17(1), e20445
2024
PMID: 38481118
Appears in Open Access via Read & Publish Agreements
Abstract
Abiotic stresses have a detrimental impact on crop production globally. The escalating frequency and intensity of these stresses, driven by rapid changes in climatic conditions, pose significant challenges to agriculture. This situation is worsened by the burgeoning human population that is projected to heighten the demand for food in the coming years, emphasizing the need for further agricultural innovations. Addressing these challenges and steering agriculture toward sustainability requires concerted research efforts to mitigate the adverse effects of climate change-induced abiotic stresses. One of the most logical and cost-effective strategies on a global scale is the development and utilization of crop varieties endowed with increased tolerance to different abiotic stresses.
Conventional breeding has played a key role in developing crops resilient to abiotic stress; however, recent advancements in genomics technologies have expedited these efforts. The development and public availability of multiple crop genomes, coupled with improvements in genome assembly quality and the emergence of pangenome and super-pangenome, signify a substantial leap forward. High-quality reference genomes, whole-genome resequencing, and pangenome approaches have enabled the mapping of allelic variants, discovery of candidate genes, development of molecular markers, and the introgression of traits related to abiotic stress tolerance. This wealth of genomic data, complemented by other omics datasets such as transcriptomics, proteomics, metabolomics, and phenomics, has effectively bridged the genotype–phenotype gap (Varshney, Bohra et al., 2021). This integration is crucial for gene mapping and marker-assisted breeding, offering a comprehensive understanding of crop responses to diverse abiotic stresses at the whole-genome level. Identifying and characterizing candidate genes and elucidating biological mechanisms underpinning abiotic stress tolerance using modern genomic technologies are essential for designing climate-resilient crops for the future.
The current special section titled “Genomics of abiotic stress tolerance and crop resilience to climate change” comprises 16 research articles, five reviews, and one perspective. These articles cover diverse topics such as genome-wide association studies (GWAS), long noncoding RNA transcriptome profiling, proteome analysis, integrated multi-omics analysis, genome-wide identification of key abiotic stress tolerance genes, abiotic stress tolerance mechanisms, and the application of pangenomics and machine learning in identifying genes/proteins associated with abiotic stress responses. Collectively, these articles underscore the potential of genomic innovations in providing fresh insights into plant responses and tolerance to various abiotic stresses, comprising drought, temperature extremes, salinity, anaerobic germination, and pre-harvest sprouting (PHS), across various crop species.
Details
- Title
- Exploring the genomics of abiotic stress tolerance and crop resilience to climate change
- Authors/Creators
- Rajeev K Varshney - Murdoch UniversityRutwik Barmukh - Murdoch UniversityAlison Bentley - Australian National UniversityHenry T Nguyen - University of Missouri
- Publication Details
- The plant genome, Vol.17(1), e20445
- Publisher
- Wiley Periodicals LLC on behalf of Crop Science Society of America
- Identifiers
- 991005648965507891
- Copyright
- © 2024 The Authors
- Murdoch Affiliation
- Centre for Crop and Food Innovation; Food Futures Institute
- Language
- English
- Resource Type
- Journal article
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Metrics
89 File views/ downloads
142 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 3 Agriculture, Environment & Ecology
- 3.4 Crop Science
- 3.4.96 QTL
- Web Of Science research areas
- Genetics & Heredity
- Plant Sciences
- ESI research areas
- Plant & Animal Science