How much evolutionary advantage does sex confer?

In discussing the long term advantage of sex, Crow & Kimura (1965) andMaynard Smith (1971) have argued that the advantage of a reproductive system allowing recombination (sex) is greatest for large populations. However the validity of this conclusion depends upon the model used for evolution. We propose two simple models: the bootstrap model, where the number of loci at which favourable mutations may take place remains constant over long time periods; and the environment-led model, where evolution is at a constant rate dictated by the environment (and does not depend on the organism's ability to evolve). While the bootstrap model leads to conclusions similar to those mentioned above, the conclusions for environment-led evolution are the opposite: as the size of the population decreases the advantage for sex increases.     

Phylogenetic inference: how much evolutionary history is knowable?

In order to reconstruct phylogenetic trees from extremely dissimilar sequences it is necessary to estimate accurately the extent of sequence divergence. In this paper a new method of sequence analysis, Markov triple analysis, is developed for determining the relative frequencies of nucleotide substitutions within the three branches of a three-taxon dendrogram. Assuming that nucleotide sites are independently and identically distributed and assuming a Markov model for nucleotide (or protein) evolution, it is shown that the unique Markov matrices can be reconstructed given only the joint probability distribution relating three taxa. (In the much simpler case involving only two taxa and two character states, Markov matrices can also be reconstructed, provided symmetry assumptions are placed on the elements of the matrices.) The method is illustrated using sequence data from the combined first and second codon positions derived from complete human, mouse, and cow mitochondrial sequences.      

Do miRNAs have a deep evolutionary history?

The recent discovery of microRNAs (miRNAs) in unicellular eukaryotes, including miRNAs known previously only from animals or plants, implies that miRNAs have a deep evolutionary history among eukaryotes. This contrasts with the prevailing view that miRNAs evolved convergently in animals and plants. We re-evaluate the evidence and find that none of the 73 plant and animal miRNAs described from protists meet the required criteria for miRNA annotation and, by implication, animals and plants did not acquire any of their respective miRNA genes from the crown ancestor of eukaryotes. Furthermore, of the 159 novel miRNAs previously identified among the seven species of unicellular protists examined, only 28 from the algae Ectocarpus and Chlamydomonas, meet the criteria for miRNA annotation. Therefore, at present only five groups of eukaryotes are known to possess miRNAs, indicating that miRNAs have evolved independently within eukaryotes through exaptation of their shared inherited RNAi machinery.     

How much can history constrain adaptive evolution? A real‐time evolutionary approach of inversion polymorphisms in Drosophila subobscura

Chromosomal inversions are present in a wide range of animals and plants, having an important role in adaptation and speciation. Although empirical evidence of their adaptive value is abundant, the role of different processes underlying evolution of chromosomal polymorphisms is not fully understood. History and selection are likely to shape inversion polymorphism variation to an extent yet largely unknown. Here, we perform a real‐time evolution study addressing the role of historical constraints and selection in the evolution of these polymorphisms. We founded laboratory populations of Drosophila subobscura derived from three locations along the European cline and followed the evolutionary dynamics of inversion polymorphisms throughout the first 40 generations. At the beginning, populations were highly differentiated and remained so throughout generations. We report evidence of positive selection for some inversions, variable between foundations. Signs of negative selection were more frequent, in particular for most cold‐climate standard inversions across the three foundations. We found that previously observed convergence at the phenotypic level in these populations was not associated with convergence in inversion frequencies. In conclusion, our study shows that selection has shaped the evolutionary dynamics of inversion frequencies, but doing so within the constraints imposed by previous history. Both history and selection are therefore fundamental to predict the evolutionary potential of different populations to respond to global environmental changes.     

How much seed remains in the soil after a fire?

Soil seed banks that persist after a fire are important in fire-prone habitats as they minimise the risk of decline or local extinction in plants, should the fire-free interval be less than the primary juvenile periods of the species. In two common woody plant genera (Acacia and Grevillea) in southeastern Australia, we examined the size and location of the residual seed bank after fire across areas of varying seedling densities at three locations in comparison to the distribution of seeds in the soil at an unburnt site. We found viable dormant seeds remaining in the soil after fire (evidence of residual soil seed bank). A significantly lower proportion of seeds remained in the top 5 cm of soil than at 5–10 cm or 10–15 cm soil depths, independent of seedling density or plant genus. This was due to greater germination, and possibly some seed mortality, near the soil surface. Reduced germination below 5 cm was probably due to the reduced efficacy of the fire cues that break seed dormancy, a declining ability of seeds to emerge successfully from such depths, and the lower abundance of seeds in the soil at such depths. The magnitude of the residual seed bank was similar across 0–5, 5–10 and 10–15 cm soil depths in Acacia suaveolens. For two Grevillea species, most residual seeds were at 0–5 and 5–10 cm. The residual soil seed bank in the top 10 cm of soil after fire varied across sites with estimates of 0, 19 and 27% in G. speciosa and 23, 35, and 55% in A. suaveolens. At two sites, both species had similar residual seed bank sizes, while at a third, there were large differences between the species (0–55%). The observed patterns imply that the fire-related cues that break seed dormancy generally declined with soil depth. For Acacia, seed dormancy is broken by heat shock, a fire-cue that declines with soil depth. Some 250 species (approx 15% of the fire-prone flora) in the region are thought to have dormancy broken by heat shock. For Grevillea, where seed dormancy is broken by the interaction of smoke and heat shock, at two sites, we suggest three possibilities: (i) the smoke cue declined with soil depth; (ii) both heat and smoke are obligatory for breaking seed dormancy; or (iii) the cues may be independent and additive and below the zone of soil heating, only a proportion of available seeds had dormancy broken by smoke alone. At a third site (no residual seed bank detected) the smoke cue was predicted not to have declined with soil depth. Up to 900 species (just under half the fire-prone flora) in the study region are thought to have seed dormancy broken by the interaction of heat and smoke during the passage of a fire.     

How much can we know about the causes of evolutionary trends?

One of the first questions that paleontologists ask when they identify a large-scale trend in the fossil record (e.g., size increase, complexity increase) is whether it is passive or driven. In this article, I explore two questions about driven trends: (1) what is the underlying cause or source of the directional bias? and (2) has the strength of the directional bias changed over time? I identify two underdetermination problems that prevent scientists from giving complete answers to these two questions.     

Should evolutionary history guide conservation?

Phylogenetic diversity (PD) is an emerging tool for prioritising species in biodiversity conservation problems. PD uses the evolutionary history of a group of species to provide a formal measure of their biodiversity. This provides an objective target for biodiversity conservation, in which decisions are frequently made for political reasons or according to the charisma of a species. Incorporating PD in biodiversity decisions ensures that the best outcome given current knowledge is achieved. Unfortunately, the phylogenetic information required to calculate PD is frequently unknown or costly to obtain. Using PD in a decision making framework also complicates the process substantially, thereby decreasing its transparency and potentially disillusioning stakeholders. Here we provide a broad assessment of the value of PD in biodiversity conservation approaches. We find that using PD in a prioritisation process can typically increase biodiversity outcomes by a broad range of 10–220 %. Higher gains are obtained where (i) few species are selected, (ii) the phylogeny includes speciation events on a broad range of time scales and/or (iii) closely related species are prioritised in the absence of PD (e.g. several closely related charismatic animals). Our results indicate situations where PD is likely to contribute substantially to biodiversity conservation decisions and provides guidance to organisations when deciding whether to incorporating phylogenetic information in their decision making. This assessment is crucial as inclusion of PD may be costly and reduces transparency of the decision process, however the potential gains may far outweigh this cost.     

How much is a stabilizing bond worth?

It is commonly supposed that the contribution of a bond to protein or nucleic acid stability is equal to the in situ stability of the bond itself. This is not true for the noncovalent bonds that stabilize molecular folding. In general, a bonding interaction contributes a free energy increment to protein or nucleic acid stability that is larger, an enthalpy increment that is smaller, and entropy and heat capacity increments that are more positive than the corresponding bond parameter.     

How much water does a river need?

1. This paper introduces a new approach for setting streamflow-based river ecosystem management targets and this method is called the 'Range of Variability Approach' (RVA). The proposed approach derives from aquatic ecology theory concerning the critical role of hydrological variability, and associated characteristics of timing, frequency, duration, and rates of change, in sustaining aquatic ecosystems. The method is intended for application on rivers wherein the conservation of native aquatic biodiversity and protection of natural ecosystem functions are primary river management objectives.
2. The RVA uses as its starting point either measured or synthesized daily streamflow values from a period during which human perturbations to the hydrological regime were negligible. This streamflow record is then characterized using thirty-two different hydrological parameters, using methods defined in Richter et al . (1996). Using the RVA, a range of variation in each of the thirty-two parameters, e.g. the values at ± 1 standard deviation from the mean or the twenty-fifth to seventy-fifth percentile range, are selected as initial flow management targets.
3. The RVA targets are intended to guide the design of river management strategies (e.g. reservoir operations rules, catchment restoration) that will lead to attainment of these targets on an annual basis. The RVA will enable river managers to define and adopt readily interim management targets before conclusive, long-term ecosystem research results are available. The RVA targets and management strategies should be adaptively refined as suggested by research results and as needed to sustain native aquatic ecosystem biodiversity and integrity.     

How much Ascariasis is there in Africa?

What is the real burden of parasitic infections? How many people, for example, are infected with the common roundworm Ascaris lumbricoides-usually cited as'number one' in the 'league table' of human parasite prevalence? Extrapolations are often made from figures for helminth infection published in 1947 by Stoll. More recent estimates suggest almost unbelievable numbers of oscoriosis cases - about 1000 million people representing about one quarter of the world population. Such figures are important because they contribute to the perennial debate about: allocation o f scarce health resources in affected countries to infections of greatest public health importance. But where do such figures come from? In this article, David Crompton and Jim Tulley report on their appraisal of Ascaris prevalence data for Africa. Their figures were used to compile the geographic histogram on this month's cover.     

How much cytoplasm can a bacterial genome control?

In this perspective we discuss that bacterial genomes have optimized during evolution to control a range of cytoplasm, from immediately after cell division to a maximum amount/volume present just prior to DNA replication and subsequent cell division. The genetic expansion of bacteria via evolution may be limited to a genome size:cytoplasm amount/volume ratios and energetics that have been selected for during 3.6-4 billion years of evolution on the Earth. The optimal genome size is one that is relatively constant, but also has some plasticity for evolutionary change (via gene transfer) and mutational events, and can control a range of cytoplasm during the cell cycle.     

How much personal care in four group practices?

OBJECTIVE--To establish the degree of continuity of care in general practice. DESIGN--Retrospective study of the records of all eligible patients attending the surgery at randomly selected sessions. SETTING--Four large group practices in the Southampton Health District, one of which operated a strict system of personal lists. PATIENTS--776 Patients who had been registered for at least two years and had consulted at least 12 times over six years or less. MAIN OUTCOME MEASURES--Continuity score for each patient calculated from the number of consultations (out of the past 12) with his or her usual doctor. Number of the times the patients had consulted the doctor with whom they were registered. RESULTS--In the practice with personal lists a mean of 10 of the 12 consultations had been with the same doctor (83% of consultations), but in the three practices with combined lists the means were 5.9 (49%), 6.2 (52%), and 6.9 (58%). Continuity was associated with increased age and with the recording of a major problem. In the practices with combined lists 63 of 72 children consulted at least five different doctors. Only 140 of 489 patients currently in the practice who were identified as being registered with a doctor had most usually consulted that doctor in the practices with combined lists. CONCLUSIONS--Personal continuity of care may be fairly low in group practice, especially for younger and healthier patients registered at practices with combined lists. These findings support the Department of Health''s recent decision to make "target payments" (for cervical smears and childhood immunisations) to groups rather than to individual principals but pose a question for the future of individual clinical responsibility.     

Is evolutionary history repeatedly rewritten in light of new fossil discoveries?

Mass media and popular science journals commonly report that new fossil discoveries have ‘rewritten evolutionary history’. Is this merely journalistic hyperbole or is our sampling of systematic diversity so limited that attempts to derive evolutionary history from these datasets are premature? We use two exemplars—catarrhine primates (Old World monkeys and apes) and non-avian dinosaurs—to investigate how the maturity of datasets can be assessed. Both groups have been intensively studied over the past 200 years and so should represent pinnacles in our knowledge of vertebrate systematic diversity. We test the maturity of these datasets by assessing the completeness of their fossil records, their susceptibility to changes in macroevolutionary hypotheses and the balance of their phylogenies through study time. Catarrhines have shown prolonged stability, with discoveries of new species being evenly distributed across the phylogeny, and thus have had little impact on our understanding of their fossil record, diversification and evolution. The reverse is true for dinosaurs, where the addition of new species has been non-random and, consequentially, their fossil record, tree shape and our understanding of their diversification is rapidly changing. The conclusions derived from these analyses are relevant more generally: the maturity of systematic datasets can and should be assessed before they are exploited to derive grand macroevolutionary hypotheses.     

Host specificity in spinturnicid mites: do parasites share a long evolutionary history with their host?

Host specificity in parasites can be explained by spatial isolation from other potential hosts or by specialization and speciation of specific parasite species. The first assertion is based on allopatric speciation, the latter on differential lifetime reproductive success on different available hosts. We investigated the host specificity and cophylogenetic histories of four sympatric European bat species of the genus Myotis and their ectoparasitic wing mites of the genus Spinturnix. We sampled >40 parasite specimens from each bat species and reconstructed their phylogenetic COI trees to assess host specificity. To test for cospeciation, we compared host and parasite trees for congruencies in tree topologies. Corresponding divergence events in host and parasite trees were dated using the molecular clock approach. We found two species of wing mites to be host specific and one species to occur on two unrelated hosts. Host specificity cannot be explained by isolation of host species, because we found individual parasites on other species than their native hosts. Furthermore, we found no evidence for cospeciation, but for one host switch and one sorting event. Host‐specific wing mites were several million years younger than their hosts. Speciation of hosts did not cause speciation in their respective parasites, but we found that diversification of recent host lineages coincided with a lineage split in some parasites.