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Development and evolution of adaptive polyphenisms.

Phenotypic plasticity is the primitive character state for most if not all traits. Insofar as developmental and physiological processes obey the laws of chemistry and physics, they will be sensitive to such environmental variables as temperature, nutrient supply, ionic environment, and the availability of various macro- and micronutrients. Depending on the effect this phenotypic plasticity has on fitness, evolution may proceed to select either for mechanisms that buffer or canalize the phenotype against relevant environmental variation or for a modified plastic response in which some ranges of the phenotypic variation are adaptive to particular environments. Phenotypic plasticity can be continuous, in which case it is called a reaction norm, or discontinuous, in which case it is called a polyphenism. Although the morphological discontinuity of some polyphenisms is produced by discrete developmental switches, most polyphenisms are due to discontinuities in the environment that induce only portions of what is in reality a continuous reaction norm. In insect polyphenisms, the environmental variable that induces the alternative phenotype is a token stimulus that serves as a predictor of, but is not itself, the environment to which the polyphenism is an adaptation. In all cases studied so far, the environmental stimulus alters the endocrine mechanism of metamorphosis by altering either the pattern of hormone secretion or the pattern of hormone sensitivity in different tissues. Such changes in the patterns of endocrine interactions result in the execution of alternative developmental pathways. The spatial and temporal compartmentalization of endocrine interactions has produced a developmental mechanism that enables substantial localized changes in morphology that remain well integrated into the structure and function of the organism.

Adaptation, Physiological↗

Physical activity correlates in adolescent girls who differ by weight status.

OBJECTIVE: This study compared correlates of physical activity (PA) among African-American and white girls of different weight groups to guide future interventions. RESEARCH METHODS AND PROCEDURES: Participants were 1015 girls (mean age, 14.6 years; 45% African-American) from 12 high schools in South Carolina who served as control subjects for a school-based intervention. Post-intervention measures obtained at the end of ninth grade were used. PA was measured using the Three-Day PA Recall, and a questionnaire measured social-cognitive and environmental variables thought to mediate PA. Height and weight were measured, and BMI was calculated. Girls were stratified by race and categorized into three groups, based on BMI percentiles for girls from CDC growth charts: normal (BMI < 85th percentile), at risk (BMI, 85th to 94th percentile), and overweight (BMI > or = 95th percentile). Girls were further divided into active and low-active groups, based on a vigorous PA standard (average of one or more 30-minute blocks per day per 3-day period). Mixed-model ANOVA was used to compare factors among groups, treating school as a random effect RESULTS: None of the social-cognitive or environmental variables differed by weight status for African-American or white girls. Perceived behavioral control and sports team participation were significantly higher in girls who were more active, regardless of weight or race group. In general, social-cognitive variables seem to be more related to activity in white girls, whereas environmental factors seem more related to activity in African-American girls. DISCUSSION: PA interventions should be tailored to the unique needs of girls based on PA levels and race, rather than on weight status alone.

Adolescent↗

Neighborhood Effects in Bird Distributions, Navarre, Spain

This study examines the role of neighborhood effects in the spatial distributions of selected bird species in Navarre, Spain. We employed a geographic information system (GIS) to organize the data on bird distributions and relevant environmental variables and to analyze their spatial patterns. Three bird species were selected for analysis: the European honey-buzzard (Pernis apivorus), the Eurasian hobby (Falco subbuteo), and the European pied flycatcher (Ficedula hypoleuca). Selected environmental variables of the study area were digitized to create a comprehensive data base and logistic regression models were used to evaluate the significance of each variable in the spatial distribution. The spatial patterns of bird distributions were used to extract topological relationships and to identify neighborhood effects. Although all the selected species illustrate a pattern of positive spatial autocorrelation in their distributions, the significance of neighborhood effects varies from species to species. Among the selected species, neighborhood effects are most evident in the distribution of the European pied flycatcher and are significant for the Eurasian hobby. The distribution of the European honey-buzzard is not much affected by neighborhood effects. The results suggest that examination of neighborhood effects is a prerequisite for modeling bird distributions.KEY WORDS: neighborhood effects, spatial autocorrelation, logistic regression, bird distributions.

Journal Article↗

Does herbivore diversity depend on plant diversity? The case of California butterflies.

It is widely believed that the diversity of plants influences the diversity of animals, and this should be particularly true of herbivores. We examine this supposition at a moderate spatial extent by comparing the richness patterns of the 217 butterfly species resident in California to those of plants, including all 5,902 vascular plant species and the 552 species known to be fed on by caterpillars. We also examine the relationships between plant/butterfly richness and 20 environmental variables. We found that although plant and butterfly diversities are positively correlated, multiple regression, path models, and spatial analysis indicate that once primary productivity (estimated by a water-energy variable, actual evapotranspiration) and topographical variability are incorporated into models, neither measure of plant richness has any relationship with butterfly richness. To examine whether butterflies with the most specialized diets follow the pattern found across all butterflies, we repeated the analyses for 37 species of strict monophages and their food plants and found that plant and butterfly richness were similarly weakly associated after incorporating the environmental variables. We condude that plant diversity does not directly influence butterfly diversity but that both are probably responding to similar environmental factors.

Animals↗

Mapping QTLs and QTL x environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods.

The study of QTL x environment interaction (QEI) is important for understanding genotype x environment interaction (GEI) in many quantitative traits. For modeling GEI and QEI, factorial regression (FR) models form a powerful class of models. In FR models, covariables (contrasts) defined on the levels of the genotypic and/or environmental factor(s) are used to describe main effects and interactions. In FR models for QTL expression, considerable numbers of genotypic covariables can occur as for each putative QTL an additional covariable needs to be introduced. For large numbers of genotypic and/or environmental covariables, least square estimation breaks down and partial least squares (PLS) estimation procedures become an attractive alternative. In this paper we develop methodology for analyzing QEI by FR for estimating effects and locations of QTLs and QEI and interpreting QEI in terms of environmental variables. A randomization test for the main effects of QTLs and QEI is presented. A population of F2 derived F3 families was evaluated in eight environments differing in drought stress and soil nitrogen content and the traits yield and anthesis silking interval (ASI) were measured. For grain yield, chromosomes 1 and 10 showed significant QEI, whereas in chromosomes 3 and 8 only main effect QTLs were observed. For ASI, QTL main effects were observed on chromosomes 1, 2, 6, 8, and 10, whereas QEI was observed only on chromosome 8. The assessment of the QEI at chromosome 1 for grain yield showed that the QTL main effect explained 35.8% of the QTL + QEI variability, while QEI explained 64.2%. Minimum temperature during flowering time explained 77.6% of the QEI. The QEI analysis at chromosome 10 showed that the QTL main effect explained 59.8% of the QTL + QEI variability, while QEI explained 40.2%. Maximum temperature during flowering time explained 23.8% of the QEI. Results of this study show the possibilities of using FR for mapping QTL and for dissecting QEI in terms of environmental variables. PLS regression is efficient in accounting for background noise produced by other QTLs.

Chromosome Mapping↗

Relationships among epipelic diatom taxa, bacterial abundances and water quality in a highly polluted stream catchment, bursa -- Turkey.

Nilüfer Stream is an important water source in the industrial and metropolitan city of Bursa, Turkey. The stream catchment has been influenced by high human impact. The downstream receives sewage water from households and industry, whereas the headwater of the stream has a source of high-quality drinkable water. In this paper, abundances of epipelic diatom taxa, faecal coliforms (FC), total coliforms (TC) and total bacteria (TB) were studied in relation to measured environmental variables (T, pH, DO, BOD(5), EC, TDS) for the period July 1997 to June 1998 at six stations in the heavily polluted Nilüfer Stream catchment. It is observed that the physicochemical variables and bacterial abundances varied seasonally at all stations, and the level of pollution reached at its highest point in the summer. The results of Kruskal-Wallis and one-way ANOVA indicated that DO gradually decreased, whereas BOD(5), EC, TDS, TB, FC and TC gradually increased from upstream to downstream. The ordination method of Principal Component Analysis (PCA) was carried out for both biologic and physicochemical variables, and the results were supported by the former statistical procedures. The frequency of occurrence of dominant diatoms was examined in relation to the spatial variations in chemical constituents. Both diatoms and bacteria showed strong correlations with the measured physicochemical variables. In Canonical Correlation Analysis (CANCORR) measures of bacterial abundances also displayed strong correlations with abundances of 11 diatom taxa. The results showed that the stream catchment is polluted gradually from upstream to downstream. In addition, pollution load in the stream catchment has been gradually increased, compared with recent years. Urbanisation and industrialisation of the city have affected increasing pollution in Nilüfer Stream. The results also indicated that diatoms are not affected by environmental variables such as bacteria. Bacteria are more sensitive to organic pollution, while diatoms are indicators of different environmental conditions.

Analysis of Variance↗

Relationship between foliar chemical parameters measured in Melia azedarach L. and environmental conditions in urban areas.

A diagnostic study was done on Melia azedarach L. in relation to atmospheric pollutants in Córdoba city, Argentina. The study area receives regional pollutants, and it was categorized taking into account traffic level, industrial level, location of the sample point in relation to the corner, treeless condition, building type, topographic level and distance to the river. Water content and Specific Leaf Area (SLA) were calculated; and concentrations of soluble proteins, sulphur, hydroperoxy conjugated dienes (HPCD), chlorophylls (Total Chl) and pheophytins (Total Paeoph) were determined in leaf samples. HPCD correlated positively with industry, topographic level and distance to the river, and with a combination of the environmental variables (ECI); pigments correlated negatively with traffic level and with ECI; Total Phaeoph/Total Chl ratio correlated positively with traffic, building and ECI. On the basis of our results, traffic level, industrial level, building type, topographic level and distance to the river are the environmental variables to bear in mind when selecting analogous sampling points in a passive monitoring program. An approximation to predict tree injury may be obtained by measuring water content, soluble proteins, sulphur, HPCD and pigments as they are responsible for the major variability of data. This study revealed that M. azedarach was sensitive to air pollutants from traffic and industry. Thus, in those sampling sites with the maximum score for traffic level, industrial level and ECI, the highest values of the parameters that indicate foliar damage together with the least pigment concentration were observed.

Air Pollutants↗

Influence of environmental factors on suicidal behavior.

The regional distribution of completed suicide was analyzed in 19 regions of France for the years 1975 and 1983. The regional distributions of environmental variables (ambient temperature, sunlight duration, and precipitation) and of sociological factors (social cohesion, socioeconomic status, status of women, and social support) were then correlated using Pearson coefficients, stepwise regression analysis, and partial correlations. Our main finding is that environmental factors such as ambient temperature may play a role in the regional distribution of completed suicide in France. Both the stepwise regression analysis and the controlled regression analysis revealed that, among all the variables studied (environmental and sociological), the main factors affecting the regional distribution of suicide were ambient temperature and sunlight duration. To our knowledge, this is the first detailed study demonstrating a clear relationship between environmental variables and suicidal behavior. The finding may be consistent with the recent description of forms of affective disorders occurring in relationship to environmental factors.

Adult↗

How seals divide up the world: environment, life history, and conservation.

Pinnipeds display a remarkable variation in life history adaptations while successfully inhabiting almost every marine environment. We explore how they have done this by grouping the world's pinniped species according to their environmental conditions, mating systems, lactation strategies, and timing of life histories. Next, we tested whether any of these clusters provide information about risk of extinction (using the International Union for Nature and the Conservation of Natural Resources status ranks). Seals at risk were not characterized by differences in lactation pattern (22% short vs. 46% long), mating system (24% multi-male vs. 35% harems), or timing of life history events (23% fast vs. 42% slow) but did differ based on four environmental groupings. Grouping traits (rather than seals) described two clusters: one that included the environmental trait, primary productivity, and a second one that included all other environmental variables (seasonality, latitude, and temperature). Based on this result and theoretical considerations, we plotted seals according to energy (primary productivity) and variation (seasonality) and found a pattern analogous to that of the same four groups determined by cluster analysis of all environmental variables. Of the two pinniped groups representing low variation (equatorial and high productivity), ten of 21 seal species have been designated at risk, in contrast to none of the 13 seal species adapted to high variation. We conclude that seals appear to be best adapted to seasonal environments and thus, conservation efforts may benefit by concentrating on species inhabiting less variable environments.

Animals↗

Mortality in the elderly and ambient ozone concentration during the hot summer, 1994, in Belgium.

Extensive investigations were carried out to study the relationship between daily mortality in the elderly, outdoor air temperature, and ozone concentration observed in Belgium during the hot summer, 1994. The two environmental variables were assessed through mean daily temperature and 24-hr ozone concentration, both measured the day before and averaged over the country. Data were stratified by terciles of mean daily temperature in order to reduce the degree of collinearity between the investigated environmental variables. In the first stratum, which ranged from 9.9 to 15.4 degrees C (41 days), mean daily temperature and 24-hr ozone concentration were not correlated while the mean number of daily deaths was higher when 24-hr ozone concentration increased from 45 to 55 micrograms/m3 (P < 0.05). In the second stratum, which ranged from 15.6 to 20.3 degrees C (42 days), mean daily temperature and 24-hr ozone concentration were strongly correlated (r = 0.54, P < 0.0001). In this stratum, the number of daily deaths did not depend on the mean daily temperature but increased linearly with 24-hr ozone concentration within the range 25 to 85.5 micrograms/m3 (P < 0.001). After having examined the possible confounding effect of sulfur dioxide, nitrogen dioxide, fine particulates, and humidity, ozone was found to be the only investigated variable contributing to the increased daily mortality. In the third stratum, which ranged from 20.4 to 27.6 degrees C (40 days), mean daily temperature and 24-hr ozone concentration were also strongly correlated (r = 0.71, P < 0.0001). Daily mortality, in this stratum, was correlated more with mean daily temperature (r = 0.68, P < 0.001) than with 24-hr ozone concentration (r = 0.55, P < 0.001). Nonparametric regression analyses were performed to model the number of daily deaths in the whole range of temperatures. These analyses confirmed the effect of 24-hr ozone concentration on daily mortality already uncovered by the least-squares regression analysis in the second stratum of mean daily temperature. In addition, at levels exceeding 20 degrees C, the effect of ozone concentration on daily mortality was enhanced by temperature owing to a positive interaction between these two variables. The present study thus demonstrated a statistical association between daily mortality, observed in the elderly during the hot summer, 1994, in Belgium, and ambient ozone concentration. This relationship was dependent on the range of temperatures.

Aged↗

Genetic components of litter size variability in sheep.

Classical selection for increasing prolificacy in sheep leads to a concomitant increase in its variability, even though the objective of the breeder is to maximise the frequency of an intermediate litter size rather than the frequency of high litter sizes. For instance, in the Lacaune sheep breed raised in semi-intensive conditions, ewes lambing twins represent the economic optimum. Data for this breed, obtained from the national recording scheme, were analysed. Variance components were estimated in an infinitesimal model involving genes controlling the mean level as well as its environmental variability. Large heritability was found for the mean prolificacy, but a high potential for increasing the percentage of twins at lambing while reducing the environmental variability of prolificacy is also suspected. Quantification of the response to such a canalising selection was achieved.

Animals↗

Distribution pattern of two fish species in a coastal stream in southeast Brazil.

Longitudinal distribution of Mimagoniates microlepis and Hoplias malabaricus was analyzed in a coastal stream system in Southeast Brazil. Six sites were sampled by electrofishing in seven months, from July 94 to July 95. Densities of M. microlepis, and H. malabaricus and its prey (Poecilia vivipara, Deuterodon sp. and Astyanax janeiroensis) were estimated by the Zippin method; environmental variables of: (i) kind of substratum; (ii) percentage of pools, runs, riffles, instream vegetation, and canopy were registered for each site in each sampling month. The relative importance of each biotic and abiotic variable was tested through simple correlation analyses. We verified that M. microlepis occurrence correlates with canopy; H. malabaricus is correlated with instream vegetation, pools, clay substratum, and P. vivipara densities; and P. vivipara correlates with pools and clay substratum. Our results suggest that environmental variables, and food and shelter availability are the main factors in determining M. microlepis and H. malabaricus distribution.

Animals↗

The three-dimensional profile method using residue preference as a continuous function of residue environment.

In the 3-dimensional profile method, the compatibility of an amino acid sequence for a given protein structure is scored as the sum of the preferences of the residues for their environments in the 3D structure. In the original method (Bowie JU, Lüthy R, Eisenberg D, 1991, Science 253:164-170), residue environments were quantized into 18 discrete environmental classes. Here, amino acid residue preferences are expressed as a continuous function of environmental variables (residue area buried and fractional area buried by polar atoms). This continuous representation of residue preferences, expressed as a Fourier series, avoids the abrupt change of preference of residues in slightly different environments, as encountered in the original method with its 18 discrete environmental classes. When compared with the discrete 18-class representation of residue environments, this continuous 3D profile is found to be more sensitive in identifying sequences that fold into the profiled structure but share with it little sequence identity. The continuous 3D profile is also less sensitive to errors in environmental variables than is the discrete 3D profile. The continuous 3D profile can also be used to detect wrong folds or incorrectly modeled segments in an otherwise correct structure, as could the discrete 3D profile (Lüthy R, Bowie JU, Eisenberg D, 1992, Nature 356:83-85). Moreover, the progress of structure improvement during atomic refinement can also be monitored by examining the profile scores in a moving-window scan. Finally, by defining a functional form for profile scores, we open the way to profile atomic refinement in which an atomic structure adjusts to produce residue environments more compatible with the protein side chains.

Amino Acids↗

Spatial scaling of consumer-resource interactions in advection-dominated systems.

Ecologists studying consumer-resource interactions in advection-dominated systems such as streams and rivers frequently seek to link the results of small-scale experiments with larger-scale patterns of distribution and abundance. Accomplishing this goal requires determining the characteristic scale, termed the response length, at which there is a shift from local dynamics dominated by advective dispersal to larger-scale dynamics dominated by births and deaths. Here, we model the dynamics of consumer-resource systems in a spatially variable, advective environment and show how consumer-resource interactions alter the response length relative to its single-species value. For one case involving a grazer that emigrates in response to high predator density, we quantify the changes using published data from small-scale experiments on aquatic invertebrates. Using Fourier analysis, we describe the responses of advection-dominated consumer-resource systems to spatially extended environmental variability in a way that involves explicit consideration of the response length. The patterns we derive for different consumer-resource systems exhibit important similarities in how component populations respond to spatial environmental variability affecting dispersal as opposed to demographic parameters.

Ecosystem↗

[Design and implementation of an epidemiological surveillance system for mental health].

OBJECTIVE: To design and test a surveillance system to detect and rank the most significant mental health problems in a community and to establish their association with the living conditions in that community. METHODS: The system was designed and tested at a primary health care center in the community of La Florida, which is in the metropolitan region of Santiago, the capital of Chile. The health problems that were under surveillance, with monthly monitoring, were: addiction (to alcohol, tobacco, and benzodiazepines or other drugs), violence (domestic violence and sexual abuse, real or suspected), and disorders in children (attention deficit and behavioral disorders). By means of a computerized geographical information system (GIS), those surveillance data were combined with other data. These other data included sociodemographic information on the persons who went to the health center for care as well as data on local risk factors and protective factors for health problems, some of which are indicators of the local residents' living conditions. RESULTS: The proposed epidemiological surveillance system, which takes into account local living conditions and environmental variables, is a good tool for health action. The proposed system also complements the incomplete perspective of monitoring systems, which do not include variables describing the local context and that focus only on health problems. The information synthesized in the GIS maps makes it possible to simultaneously display different layers of information on factors related to the health problems studied, linked to a specific area and all its environmental variables, in an easy-to-read, self-explanatory format. CONCLUSIONS: These results and the concurring opinions of the participating physicians show that the experimental system effectively met the basic requirements of an epidemiological surveillance system of this kind.

Adult↗

Factors within the physical environment associated with childhood obesity.

The relationship of obesity to environmental factors such as season, region, and population density was examined in children studied during cycle II of the National Health Examination Survey. This survey selected 7119 children aged 6 to 11 yr old from a representative noninstitutionalized sample of the United States population. The prevalence of obesity (triceps skinfold more than the 85th percentile) was significantly more in the Northeast and Midwest than in the West and significantly more in large metropolitan areas than in areas with lower population densities. The prevalence of obesity was generally lowest in the summer and highest in the fall or winter. Each environmental variable was associated with 2- to 3-fold variations in the prevalence of obesity. The effect of region, population density, and season appeared independent of race and socioeconomic status. Similar relationships were found for superobesity (triceps skinfold more than the 95th percentile). These results emphasize that environmental variables significantly affect the prevalence of obesity and could help account for the wide variations in prevalence that have been previously published. Understanding the mechanisms by which the environment affects childhood obesity may improve the effectiveness of community level interventions.

Child↗

Evidence of a shift in the cyclicity of Antarctic seabird dynamics linked to climate.

Ecosystems and populations are known to be influenced not only by long-term climatic trends, but also by other short-term climatic modes, such as interannual and decadal-scale variabilities. Because interactions between climatic forcing, biotic and abiotic components of ecosystems are subtle and complex, analysis of long-term series of both biological and physical factors is essential to understanding these interactions. Here, we apply a wavelet analysis simultaneously to long-term datasets on the environment and on the populations and breeding success of three Antarctic seabirds (southern fulmar, snow petrel, emperor penguin) breeding in Terre Adélie, to study the effects of climate fluctuations on Antarctic marine ecosystems. We show that over the past 40 years, populations and demographic parameters of the three species fluctuate with a periodicity of 3-5 years that was also detected in sea-ice extent and the Southern Oscillation Index. Although the major periodicity of these interannual fluctuations is not common to different species and environmental variables, their cyclic characteristics reveal a significant change since 1980. Moreover, sliding-correlation analysis highlighted the relationships between environmental variables and the demography of the three species, with important change of correlation occurring between the end of the 1970s and the beginning of the 1980s. These results suggest that a regime shift has probably occurred during this period, significantly affecting the Antarctic ecosystem, but with contrasted effects on the three species.

Animals↗

Spatial and temporal patterns in the occurrence of peritrich ciliates as epibionts on calanoid copepods in the Chesapeake Bay, USA.

We investigated temporal and spatial patterns of distribution in two peritrich ciliates (i.e. Zoothamnium intermedium and Epistylis sp.) living as epibionts on calanoid copepods (i.e. Acartia tonsa and Eurytemora affinis) in Chesapeake Bay. Net tow samples collected along the main axis of the Bay were analyzed to estimate the occurrence of epibionts on copepods and to explore relationships among infestation prevalence, host abundance, and environmental variables. Zoothamnium intermedium and Epistylis sp. colonized populations of A. tonsa during spring and summer months, while only Z. intermedium colonized E. affinis during spring. Occurrence of epibionts on copepods showed high interannual variation, marked seasonality, and geographic heterogeneity. Extensive statistical analyses rejected simple scenarios of interactions between epibiosis, environmental variables, and host density, suggesting a more complex dynamics for the system. Analyses of epibiont colonies and zooids per host area (i.e. the sum of width and length of the body including antennae and swimming legs calculated assuming a cylindrical shape) were also performed. Overall, epibiont infestation prevalence (i.e. colonies/host area) and load (i.e. zooids/host area) were higher on copepodites than on adults for both host species, suggesting a preferential attachment to juveniles, or a higher predation pressure on adult stages. Infestation density and loads of both epibiont species were higher on the cephalothorax and abdomen of A. tonsa and E. affinis in comparison to the antennae and swimming legs, suggesting that ciliates can more easily colonize less active parts of the host.

Animals↗