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Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics

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Safeguarding crop yields in a changing climate requires bioinformatics advances in harnessing data from vast phenomics and genomics datasets to translate research findings into climate smart crops in the field.

Abstract

Climate change and an additional 3 billion mouths to feed by 2050 raise serious concerns over global food security. Crop breeding and land management strategies will need to evolve to maximize the utilization of finite resources in coming years. High-throughput phenotyping and genomics technologies are providing researchers with the information required to guide and inform the breeding of climate smart crops adapted to the environment. Bioinformatics has a fundamental role to play in integrating and exploiting this fast accumulating wealth of data, through association studies to detect genomic targets underlying key adaptive climate-resilient traits. These data provide tools for breeders to tailor crops to their environment and can be introduced using advanced selection or genome editing methods. To effectively translate research into the field, genomic and phenomic information will need to be integrated into comprehensive clade-specific databases and platforms alongside accessible tools that can be used by breeders to inform the selection of climate adaptive traits. Here we discuss the role of bioinformatics in extracting, analysing, integrating and managing genomic and phenomic data to improve climate resilience in crops, including current, emerging and potential approaches, applications and bottlenecks in the research and breeding pipeline.

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Acknowledgements

We would like to give credit to BioRender.com, the software used to create the figure. The authors thank the Australian Government through the Australian Research Council for funding support through projects DP200100762, DP160104497 and LP160100030. Additionally, HH thanks the China Scholarship Council for supporting his studies at The University of Western Australia.

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JIM and DE jointly conceived the review; JIM, HH and MG reviewed the literature and wrote the manuscript with editing from DE and JB.

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Correspondence to David Edwards.

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The authors declare that they have no conflicts of interest.

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Communicated by Eric Ober.

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Marsh, J.I., Hu, H., Gill, M. et al. Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics. Theor Appl Genet 134, 1677–1690 (2021). https://doi.org/10.1007/s00122-021-03820-3

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  • DOI: https://doi.org/10.1007/s00122-021-03820-3

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