NOBLE · Novelties, Biases, and Landscapes in Evolution
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2021-08-16 → 2023-11-04
- Финансиране от ЕС
- 202 159 €
- Участници
- 1
- Схема
- MSCA-IF
Линиите свързват координатора с партньорите.
Накратко на български
Предвидимостта на еволюцията се анализира чрез развитието на защитни структури при колониалните бриозои. Разбирането на тези процеси помага да се предвиди как патогените се променят или как видовете реагират на промени в околната среда.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Novelties, Biases, and Landscapes in Evolution
How predictable is evolution? Key components of evolution (mutation, recombination, and genetic drift) are all “random” processes [1,2]. Add chance in ecological events (like a particularly large asteroid impact) and it seems like evolution should be unpredictable. Despite this, similar traits (phenotypes) have evolved repeatedly across distantly-related groups. Examples of phenotypic convergence include the repeated evolution of multicellularity; the “tuna-shaped” body plan in fish, sharks, and ichthyosaurs; and ant-mimicry in arhtropods [3-5]. Convergent evolution is often attributed to natural selection. Lineages evolving under the same selection pressures may be pushed towards the same adaptive optima, resulting in a predictable phenotype. Evolutionary predictability is important for medicine (how will pathogens evolve?), conservation (how will species respond to environmental change?), and our understanding of evolutionary trends (how likely was the evolution of a particular trait?). In project NOBLE, we investigated three questions about evolutionary predictability: Q1: Can ancestral traits predict the appearance (or loss) of a novel trait in their descendants? Q2: Is convergent evolution driven by natural selection, or does it occur by chance? Q3: Does division of labor (splitting functions between cells, organs, or individuals) increase phenotypic convergence? We investigated these questions in phylum Bryozoa – a group of aquatic, colonial, suspension feeders. In particular, we focused on a novel trait found in cheilostome bryozoans called “avicularia” (Fig. 1). Avicularia are morphologically specialized colony members (like ant soldiers), and are thought to have a defensive function. Avicularia were chosen as a focal trait because the repeated evolution (and loss) of avicularia [6] provides a natural experiment to investigate the predictability of their evolution. Conclusions: We found that while the loss of a novel trait (avicularia) was related to ancestral traits (Q1), phenotypic convergence was less predictable and could have occurred by chance (Q2-Q3). Figure 1: Example cheilostome bryozoan colony. A: colony surface, showing colony individuals and avicularia (pink). B-C: Avicularia with closed (B) and open (C) mandibles. References 1. T. Lenormand, D. Roze, F. Rousset, Trends in Ecology & Evolution. 24, 157–165 (2009). 2. Z. D. Blount, R. E. Lenski, J. B. Losos, Science. 362, eaam5979 (2018). 3. K. J. Niklas, S. A. Newman, J Exp Bot. 71, 3247–3253 (2020). 4. R. Motani, K. Shimada, Sci Rep. 13, 16664 (2023). 5. J. D. Mclver, G. Stonedahl, Annual Review of Entomology. 38, 351–377 (1993). 6. A. H. Cheetham, J. Sanner, P. D. Taylor, A. N. Ostrovsky, Journal of Paleontology. 80, 49–71 (2006).
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Several challenges undermine our ability to predict the course of evolution: the likelihood of evolutionary novelties, the impact of the adaptive landscape, and the influence of developmental biases. NOBLE (NOvelties, Biases, and Landscapes in Evolution) will make use of cutting-edge machine learning, fossil times series, and biomechanical modelling to generate a synthesis of the predictability of phenotypic evolution. First, NOBLE will use ancestral state reconstruction to determine if origination of and loss of novelties are predictable over macroevolutionary timescales (>113 million years). Trait origination may be predictable from ancestral morphology, while degree of trait specialization may predict loss. Next,NOBLE will investigate whether convergent evolution is a product of adaptation (as is so often assumed) or chance (rendering it less predictable). This phase will quantify the magnitude and frequency of morphological convergence between functionally and structurally homologous traits in different lineages. Then, observed convergence will be compared to converge achieved in simulations of Brownian motion (and biased random walks over biomechanically-derived adaptive landscapes.Finally, NOBLE will determine the impact of integration between traits on 1) the strength of within-trait developmental biases and 2) morphological diversity. This is possible because NOBLE’s model organism, cheilostome bryozoans, have a rich fossil record and a colonial growth form – allowing within-genotype, within-population phenotypic variation to be quantified. The influence of trait integration will be examined at five levels of comparison (from within a single species to across multiple clades).Not only will NOBLE begin untangling the Gordian Knot of evolutionary predictability, it will provide an emerging researcher with an advanced statistical skillset (incorporating phylogenetic and paleontological analyses).
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITETET I OSLO · OsloКоординаторНорвегия
Връзки
Данни: CORDIS, © Европейски съюз
