Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 193 - 208
Published: Jan. 1, 2023
Language: Английский
Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 193 - 208
Published: Jan. 1, 2023
Language: Английский
Science, Journal Year: 2024, Volume and Issue: 384(6696), P. 688 - 693
Published: May 9, 2024
Heritable variation is a prerequisite for evolutionary change, but the relevance of genetic constraints on macroevolutionary timescales debated. By using two datasets fossil and contemporary taxa, we show that divergence among populations, to lesser extent species, increases with microevolutionary evolvability. We evaluate reject several hypotheses explain this relationship propose an effect evolvability population species can be explained by influence ability populations track rapid, stationary environmental fluctuations.
Language: Английский
Citations
25Journal of Evolutionary Biology, Journal Year: 2024, Volume and Issue: 37(12), P. 1523 - 1537
Published: June 1, 2024
Abstract Rates of evolution get smaller when they are measured over longer time intervals. As first shown by Gingerich, rates morphological change from fossil series show a robust minus-one scaling with span, implying that evolutionary changes just as large hundred years hundred-thousand years. On even scales, however, the shifts toward minus-half exponent consistent behaving Brownian motion, commonly observed in phylogenetic comparative studies. Here, I discuss how such patterns arise, and derive expected standard stochastic models evolution. argue cannot be easily explained simple univariate models, but require mode scale is changing. To illustrate this idea, present hypothesis about three distinct, connected, modes analyze predicted this, use results to should interpreted. distinct at different scales act decouple micro- macroevolution, criticize various attempts extrapolating one other.
Language: Английский
Citations
7Journal of Evolutionary Biology, Journal Year: 2024, Volume and Issue: 37(12), P. 1413 - 1432
Published: Aug. 29, 2024
Abstract The relationship between the evolutionary dynamics observed in contemporary populations (microevolution) and evolution on timescales of millions years (macroevolution) has been a topic considerable debate. Historically, this debate centers inconsistencies microevolutionary processes macroevolutionary patterns. Here, we characterize striking exception: emerging evidence indicates that standing variation rates phenotypic divergence is often positively correlated. This apparent consistency micro- macroevolution paradoxical because it contradicts our previous understanding so far unexplained. explore prospects for bridging through an examination “paradox predictability.” We begin by explaining why divergence–variance correlation paradox, followed data analysis to show general phenomenon across broad range temporal scales, from few generations tens years. Then review complementary approaches quantitative genetics, comparative morphology, evo-devo, paleontology argue they can help address paradox shared vantage point recent work evolvability. In conclusion, recommend methodological orientation combines different kinds short-term long-term using multiple analytical frameworks interdisciplinary research program. Such program will increase how works within timescales.
Language: Английский
Citations
3Synthese, Journal Year: 2024, Volume and Issue: 203(5)
Published: April 27, 2024
Abstract This paper applies philosophical tools from the causalists/statisticalists debate to evo-devo idea of variational tendencies as propensities biasing phenotypic change. It contends that properties are present in a statistical sense some population dynamics models, particularly quantitative genetics ones, providing ultimate explanations . further argues these properties, contrary recent views, cannot be subsumed under natural selection. Finally, it advocates for causalist interpretation explanations, where indirectly refer evo-devo’s propensities.
Language: Английский
Citations
1Journal of Evolutionary Biology, Journal Year: 2024, Volume and Issue: 37(12), P. 1551 - 1562
Published: July 16, 2024
Abstract Extrapolating microevolutionary models does not always provide satisfactory explanations for phenotypic diversification on million-year time scales. For example, short-term evolutionary change is often modelled assuming a fixed adaptive landscape, but macroevolutionary changes are likely to involve in the landscape itself. A better understanding of how across different intervals and these cause populations evolve has potential narrow gap between micro- macroevolution. Here, we analyze two fossil diatom series exceptional quality resolution covering few hundred thousand years using that account behaviours landscape. We find one lineages evolves randomly continuously changing whereas other lineage shows rapid shift position peak magnitude typically associated with species-level differentiation. This suggests evolution beyond generational timescales may be consequence both gradual sudden repositioning peaks. Both show erratic constantly readapting towards optimal trait state, observations align dynamics commonly observed contemporary populations. The inferred over span is, therefore, chimeric sense it combines components short long timescales.
Language: Английский
Citations
1Evolution, Journal Year: 2024, Volume and Issue: 78(8), P. 1517 - 1520
Published: May 20, 2024
Citations
0Evolution, Journal Year: 2024, Volume and Issue: 78(9), P. 1523 - 1526
Published: June 17, 2024
The informed use of scales and units in evolutionary quantitative genetics is often neglected, naïve standardizations can cause misinterpretations empirical results. A potentially influential example such neglect be found the recent book by Arnold (2023. Evolutionary genetics. Oxford University Press). There, championed heritability over mean-scaled genetic variance as a measure potential arguing that variances are correlated with trait means while heritabilities not. Here, we show Arnold's result an artifact ignoring which traits measured. More importantly, argument mistakenly assumes goal mean scaling to remove relationship between variance. In our view, purpose put different on common scale makes changes, or their potential, readily interpretable comparable terms proportions mean.
Language: Английский
Citations
0Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 169 - 191
Published: Jan. 1, 2023
Language: Английский
Citations
0Springer eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 193 - 208
Published: Jan. 1, 2023
Language: Английский
Citations
0