Gravitropic Gene Expression Divergence Associated With Adaptation to Contrasting Environments in an Australian Wildflower
| dc.contributor.author | Broad, Zoe | en |
| dc.contributor.author | Lefreve, James | en |
| dc.contributor.author | Wilkinson, Melanie J. | en |
| dc.contributor.author | Barton, Samuel | en |
| dc.contributor.author | Barbier, Francois | en |
| dc.contributor.author | Jung, Hyungtaek | en |
| dc.contributor.author | Donovan, Diane | en |
| dc.contributor.author | Ortiz-Barrientos, Daniel | en |
| dc.date.accessioned | 2025-05-23T13:24:49Z | |
| dc.date.available | 2025-05-23T13:24:49Z | |
| dc.date.issued | 2024 | en |
| dc.description.abstract | Plants adapt to their local environment through complex interactions between genes, gene networks and hormones. Although the impact of gene expression on trait regulation and evolution has been recognised for many decades, its role in the evolution of adaptation is still a subject of intense exploration. We used a Multi-parent Advanced Generation Inter-Cross (MAGIC) population, which we derived from crossing multiple parents from two distinct coastal ecotypes of an Australia wildflower, Senecio lautus. We focused on studying the contrasting gravitropic behaviours of these ecotypes, which have evolved independently multiple times and show strong responses to natural selection in field experiments, emphasising the role of natural selection in their evolution. Here, we investigated how gene expression differences have contributed to the adaptive evolution of gravitropism. We studied gene expression in 60 pools at five time points (30, 60, 120, 240 and 480 min) after rotating half of the pools 90°. We found 428 genes with differential expression in response to the 90° rotation treatment. Of these, 81 genes (~19%) have predicted functions related to the plant hormones auxin and ethylene, which are crucial for the gravitropic response. By combining insights from Arabidopsis mutant studies and analysing our gene networks, we propose a preliminary model to explain the differences in gravitropism between ecotypes. This model suggests that the differences arise from changes in the transport and availability of the two hormones auxin and ethylene. Our findings indicate that the genetic basis of adaptation involves interconnected signalling pathways that work together to give rise to new ecotypes. | en |
| dc.description.sponsorship | This work was supported by Australian Research Council, DP140103774, DP190103039, FT200100169. Australian Research Council Centre of Excellence for Plant Success in Nature and Agriculture, CE200100015. Funding: We thank Candice Bywater and Christine Beveridge for their comments on the manuscript. Thanks to Maddie James, Nicholas O'Brien, Avneet Kaur, Henry Arenas\u2010Castro and Steven Smith for discussing this work. The Australian Research Council (ARC) provided funds for this research through grants FT200100169, DP190103039, DP140103774, and CE200100015 to Daniel Ortiz\u2010Barrientos\u2014an ARC PhD fellowship funded ZB during the execution of this project. Open access publishing facilitated by The University of Queensland, as part of the Wiley \u2010 The University of Queensland agreement via the Council of Australian University Librarians. | en |
| dc.description.status | Peer-reviewed | en |
| dc.identifier.issn | 0962-1083 | en |
| dc.identifier.scopus | 85207510685 | en |
| dc.identifier.uri | http://www.scopus.com/inward/record.url?scp=85207510685&partnerID=8YFLogxK | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733752342 | |
| dc.language.iso | en | en |
| dc.rights | Publisher Copyright: © 2024 The Author(s). Molecular Ecology published by John Wiley & Sons Ltd. | en |
| dc.source | Molecular Ecology | en |
| dc.subject | adaptive evolution | en |
| dc.subject | gene network evolution | en |
| dc.subject | hormonal pathways | en |
| dc.subject | natural selection | en |
| dc.title | Gravitropic Gene Expression Divergence Associated With Adaptation to Contrasting Environments in an Australian Wildflower | en |
| dc.type | Journal article | en |
| dspace.entity.type | Publication | en |
| local.contributor.affiliation | Broad, Zoe; University of Queensland | en |
| local.contributor.affiliation | Lefreve, James; University of Queensland | en |
| local.contributor.affiliation | Wilkinson, Melanie J.; University of Queensland | en |
| local.contributor.affiliation | Barton, Samuel; University of Queensland | en |
| local.contributor.affiliation | Barbier, Francois; University of Queensland | en |
| local.contributor.affiliation | Jung, Hyungtaek; National Centre for Indigenous Genomics, John Curtin School of Medical Research, ANU College of Science and Medicine, The Australian National University | en |
| local.contributor.affiliation | Donovan, Diane; University of Queensland | en |
| local.contributor.affiliation | Ortiz-Barrientos, Daniel; University of Queensland | en |
| local.identifier.doi | 10.1111/mec.17543 | en |
| local.identifier.pure | 051e2b81-7856-4cd8-bc1c-c10772c325dd | en |
| local.identifier.url | https://www.scopus.com/pages/publications/85207510685 | en |
| local.type.status | Accepted/In press | en |