Allocation of resources to sex functions in flowering plants

1991 ◽  
Vol 332 (1262) ◽  
pp. 91-102 ◽  

The study of allocation of resources offers the possibility of understanding the pressures of natural selection on reproductive functions. In allocation studies, theoretical predictions are generated and the assumptions as well as the predictions can be tested in the field. Here, we review some of the theoretical models, and discuss how much biological reality can be included in them, and what factors have been left out. We also review the empirical data that have been generated as tests of this body of theory. There are many problems associated with estimating reproductive resources, and also with testing how allocation of these resources affects reproductive and other components of fitness, and we assess how important these may be in allowing empirical results to be interpreted. Finally, we discuss the relevance of resource allocation patterns to the evolution of unisexual flowers, both at the level of individual plants (monoecy, andro- and gynomonoecy) and at the population level (dioecy).

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Aneil F. Agrawal ◽  
Jeffrey L. Feder ◽  
Patrik Nosil

The evolution of intrinsic postmating isolation has received much attention, both historically and in recent studies of speciation genes. Intrinsic isolation often stems from between-locus genetic incompatibilities, where alleles that function well within species are incompatible with one another when brought together in the genome of a hybrid. It can be difficult for such incompatibilities to originate when populations diverge with gene flow, because deleterious genotypic combinations will be created and then purged by selection. However, it has been argued that if genes underlying incompatibilities are themselves subject to divergent selection, then they might overcome gene flow to diverge between populations, resulting in the origin of incompatibilities. Nonetheless, there has been little explicit mathematical exploration of such scenarios for the origin of intrinsic incompatibilities during ecological speciation with gene flow. Here we explore theoretical models for the origin of intrinsic isolation where genes subject to divergent natural selection also affect intrinsic isolation, either directly or via linkage disequilibrium with other loci. Such genes indeed overcome gene flow, diverge between populations, and thus result in the evolution of intrinsic isolation. We also examine barriers to neutral gene flow. Surprisingly, we find that intrinsic isolation sometimes weakens this barrier, by impeding differentiation via ecologically based divergent selection.


2018 ◽  
Vol 618 ◽  
pp. A27 ◽  
Author(s):  
M. C. Powell ◽  
B. Husemann ◽  
G. R. Tremblay ◽  
M. Krumpe ◽  
T. Urrutia ◽  
...  

Aims. We probe the radiatively-efficient, hot wind feedback mode in two nearby luminous unobscured (type 1) AGN from the Close AGN Reference Survey (CARS), which show intriguing kpc-scale arc-like features of extended [O III]ionized gas as mapped with VLT-MUSE. We aimed to detect hot gas bubbles that would indicate the existence of powerful, galaxy-scale outflows in our targets, HE 0227–0931 and HE 0351+0240, from deep (200 ks) Chandra observations. Methods. By measuring the spatial and spectral properties of the extended X-ray emission and comparing with the sub kpc-scale IFU data, we are able to constrain feedback scenarios and directly test if the ionized gas is due to a shocked wind. Results. No extended hot gas emission on kpc-scales was detected. Unless the ambient medium density is low (n H  ∼  1 cm−3 at 100 pc), the inferred upper limits on the extended X-ray luminosities are well below what is expected from theoretical models at matching AGN luminosities. Conclusions. We conclude that the highly-ionized gas structures on kpc scales are not inflated by a hot outflow in either target, and instead are likely caused by photoionization of pre-existing gas streams of different origins. Our nondetections suggest that extended X-ray emission from an AGN-driven wind is not universal, and may lead to conflicts with current theoretical predictions.


Oecologia ◽  
1980 ◽  
Vol 46 (1) ◽  
pp. 86-91 ◽  
Author(s):  
D. D. Clark ◽  
J. H. Burk

2012 ◽  
Vol 40 (3) ◽  
pp. 341-354 ◽  
Author(s):  
Andre E. Moura ◽  
Ada Natoli ◽  
Emer Rogan ◽  
A. Rus Hoelzel

Author(s):  
Mohan Matthen

Physicalism appears to undermine the autonomy of ‘special sciences’ such as biology, and to leave little room for proprietary biological laws or causation. Mendel’s ‘Laws’ are so-called because they are fundamental to the subject-area, but since they describe causal processes that are wholly physical in nature, they seem to reduce to physical laws, given certain propositions about the composition of DNA. The same goes for other principles of the biological sciences. This argument has been challenged by Hilary Putnam, on the grounds that good explanations, for instance in mathematical terms, could range more widely than any given physical realization. Putnam argues that mathematics could thus have an autonomous role in science despite physicalism. Putnam’s insight has been applied to classical genetics by Philip Kitcher. A gene is a unit of inheritance that passes unchanged from parent to offspring according to certain rules. It is these rules that are essential to understanding inheritance, not details of interaction in the DNA substrate. Putnam and Kitcher here employ a notion similar to Aristotle’s ‘formal causes’ – functional and structural determinants of biological characteristics that are somewhat independent of material constitution. There are other conceptions of laws to be found in philosophy of science. Some think that they are propositions with the capacity to impart axiomatic structure to what is known about a domain. The principle of natural selection plays this role in biology, though it is a priori. Again, some think that laws are necessary truths: on cladistic systems of classification, the proposition that the common raven is a bird is arguably a law under this understanding. The nature of causal patterns in natural selection has been a matter of some discussion recently. The view that individual-level causes are sufficient to explain selection-outcomes is tempting to the reductionist, but distorts the explanatory aims of evolutionary theory. Clearly, evolutionary theory requires population-level causes. On the other hand, it has been questioned whether natural selection itself should be understood as a ‘force’ acting on a population, somewhat in the same manner as gravitation acts on a body. Statistical views of natural selection seek alternatives to this way of understanding selection. Finally, what are biological entities? Some ontologies admit no priority among collections of atoms – the argument is that an organism, for instance, is nothing more than such a collection. Many biologists, however, treat of composite entities as internally organized complex systems. On this view, cells, organisms, populations, and ecosystems have privileged ontological status.


2002 ◽  
Vol 8 (5) ◽  
pp. 249-254 ◽  
Author(s):  
K van Gool ◽  
M R Haas ◽  
R Viney

Current funding mechanisms can impede the efficient use and integration of telemedicine services. Telemedicine has developed in Australia against a background of complex funding arrangements and interwoven health-care responsibilities. These impediments are not unique to telemedicine but are accentuated by its ability to cover different locations, clinical areas and purposes. There is also a link between economic evaluation and funding mechanisms for telemedicine. While economic evaluations provide important information for the efficient allocation of resources, the funding environment in which telemedicine is established is also crucial in ensuring that services are efficient. Given these complexities, should telemedicine be funded? We conclude that this will depend on: the objectives and priorities of the health system; the efficiency of telemedicine relative to that of other forms of health-care delivery; and the funding environment. In terms of resource allocation processes, the optimum scenario is likely to be where the decision to invest in telemedicine services is made taking local needs into account, but where considerations such as market structure and network compatibility are examined on a broader scale and balanced against the principles of efficiency and equity.


Author(s):  
Lorna J. Ayton

The extended introduction in this paper reviews the theoretical modelling of leading- and trailing-edge noise, various bioinspired aerofoil adaptations to both the leading and trailing edges of blades, and how these adaptations aid in the reduction of aerofoil–turbulence interaction noise. Attention is given to the agreement between current theoretical predictions and experimental measurements, in particular, for turbulent interactions at the trailing edge of an aerofoil. Where there is a poor agreement between theoretical models and experimental data the features neglected from the theoretical models are discussed. Notably, it is known that theoretical predictions for porous trailing-edge adaptations do not agree well with experimental measurements. Previous works propose the reason for this: theoretical models do not account for surface roughness due to the porous material and thus omit a key noise source. The remainder of this paper, therefore, presents an analytical model, based upon the acoustic analogy, to predict the far-field noise due to a rough surface at the trailing edge of an aerofoil. Unlike previous roughness noise models which focus on roughness over an infinite wall, the model presented here includes diffraction by a sharp edge. The new results are seen to be in better agreement with experimental data than previous models which neglect diffraction by an edge. This new model could then be used to improve theoretical predictions for far-field noise generated by turbulent interactions with a (rough) porous trailing edge. This article is part of the theme issue ‘Frontiers of aeroacoustics research: theory, computation and experiment’.


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