The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.
Coordinated resource allocation to plant growth–defense tradeoffs
Abstract
Summary: Plant resource allocation patterns often reveal tradeoffs that favor growth (G) over defense (D), or vice versa. Ecologists most often explain G–D tradeoffs through principles of economic optimality, in which negative trait correlations are attributed to the reconciliation of fitness costs. Recently, researchers in molecular biology have developed ‘big data’ resources including multi‐omic (e.g. transcriptomic, proteomic and metabolomic) studies that describe the cellular processes controlling gene expression in model species. In this synthesis, we bridge ecological theory with discoveries in multi‐omics biology to better understand how selection has shaped the mechanisms of G–D tradeoffs. Multi‐omic studies reveal strategically coordinated patterns in resource allocation that are enabled by phytohormone crosstalk and transcriptional signal cascades. Coordinated resource allocation justifies the framework of optimality theory, while providing mechanistic insight into the feedbacks and control hubs that calibrate G–D tradeoff commitments. We use the existing literature to describe the coordinated resource allocation hypothesis (CoRAH) that accounts for balanced cellular controls during the expression of G–D tradeoffs, while sustaining stored resource pools to buffer the impacts of future stresses. The integrative mechanisms of the CoRAH unify the supply‐ and demand‐side perspectives of previous G–D tradeoff theories.
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Cites
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Cited by
A review of plants strategies to resist biotic and abiotic environmental stressors
Nawaz, M., Sun, J., Shabbir, S., Khattak, W. A., Ren, G., Nie, X., Bo, Y., Javed, Q., Du, D., & Sonne, C. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165832 · Cited by 336
Metadata
- Authors
- Monson, R. K., Trowbridge, A. M., Lindroth, R. L., & Lerdau, M. T.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2021-10-23
- Volume
- 233
- Issue
- 3
- Pages
- 1051-1066
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W3201946293
- Cited by
- 283
- References
- 140
- FWCI
- 16.45
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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