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Data associated with publication: James et al. "Uncovering the genetic architecture of parallel evolution"

The University of Queensland
Dr Avneet Kaur (Aggregated by) Dr Maddie James (Aggregated by) Dr Maddie James (Aggregated by) Dr Melanie Wilkinson (Aggregated by) Dr Melanie Wilkinson (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/40dec7a&rft.title=Data associated with publication: James et al. Uncovering the genetic architecture of parallel evolution&rft.identifier=RDM ID: 9c7f4250-4157-11ee-bdb1-b93c60a75044&rft.publisher=The University of Queensland&rft.description=This paper examines the repeated evolution of components of the auxin pathway that have contributed to the replicated loss of gravitropism (i.e., the ability of a plant to bend in response to gravity) in multiple populations of the Senecio lautus species complex in Australia. We use a powerful approach which combines parallel population genomics with association mapping in a Multiparent Advanced Generation Inter-Cross (MAGIC) population to breakdown genetic and trait correlations to reveal how adaptive traits evolve during replicated evolution. The dataset contains the raw sequencing files (fast files) for the individuals from the MAGIC population and the natural populations.&rft.creator=Dr Avneet Kaur&rft.creator=Dr Maddie James&rft.creator=Dr Maddie James&rft.creator=Dr Melanie Wilkinson&rft.creator=Dr Melanie Wilkinson&rft.creator=Miss Maddie James&rft.creator=Miss Robin Allsopp&rft.creator=Professor Daniel Ortiz-Barrientos&rft.creator=Professor Daniel Ortiz-Barrientos&rft.date=2023&rft_rights= https://creativecommons.org/licenses/by/4.0/deed.en&rft_subject=eng&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Evolutionary biology&rft_subject=Genetics&rft.type=dataset&rft.language=English Access the data
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School of the Environment

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This paper examines the repeated evolution of components of the auxin pathway that have contributed to the replicated loss of gravitropism (i.e., the ability of a plant to bend in response to gravity) in multiple populations of the Senecio lautus species complex in Australia. We use a powerful approach which combines parallel population genomics with association mapping in a Multiparent Advanced Generation Inter-Cross (MAGIC) population to breakdown genetic and trait correlations to reveal how adaptive traits evolve during replicated evolution. The dataset contains the raw sequencing files (fast files) for the individuals from the MAGIC population and the natural populations.

Issued: 2023

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Subjects
Biological Sciences | Evolutionary Biology | Genetics | eng |

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