Quantifying gene flow from spatial genetic structure data in a metapopulation of Chamaecrista fasciculata (Leguminosae)

Abstract An extensive allozyme survey was conducted within a natural "meta" population of the native North American annual legume, Chamaecrista fasciculata (Leguminosae) to quantify genetic structure at different spatial scales. Gene flow was then estimated by a recently developed indirect method based on a continuous population model, using pairwise kinship coefficients between individuals. The indirect estimates of gene flow, quantified in terms of neighborhood size, with an average value on the order of 150 individuals, were concordant among different spatial scales (subpopulation, population, metapopulation). This gene-flow value lies within the range of direct estimates previously documented from observations of pollen and seed dispersal for the same metapopulation. Monte Carlo simulations using the direct measures of gene flow as parameters further demonstrated that the observed spatial pattern of allozyme variation was congruent with a model of isolation by distance. Combining previously published estimates of pollen dispersal distances with kinship coefficients from this study, we quantified biparental inbreeding relative to either a single subpopulation or the whole metapopulation. At the level of a neighborhood, little biparental inbreeding was observed and most departure from Hardy-Weinberg genotypic proportions was explained by self-fertilization, whereas both selfing and biparental inbreeding contributed to nonrandom mating at the metapopulation level. Gene flow was also estimated from indirect methods based on a discontinuous population structure model. We discuss these results with respect to the effect of a patchy population structure on estimation of gene flow.     

Extrapolation of Rodent Studies on Amniotic Fluid Contaminatnts to Human Populations

If endocrine active chemicals (EACs) adversely affect human development, then there must be evidence of effects in animal models at properly scaled levels of exposure during pertinent sensitive periods as derived from quantified exposures of the human fetus. Our recent studies attempt to address both effects and exposures. First Study: Dams were gavaged from Gestation Day (GD) 14 through weaning on Post-Natal Day (PND) 21 with either corn oil alone (unexposed controls) or Low DES (0.5?mg/kg BW); High DES (5.0?mg/kg BW); GEN (15?mg/kg BW); GEN + DES (GEN at 15?mg/kg BW and DES at 0.5?mg/kg BW). No treatments affected duration of gestation, litter size or birth anogenital distance / birth body weights ((bAGD/bBW) or ratios of bAGD/cube root of bBW of pups of either sex. The ratio of weaning AGD to weaning body weight (wAGD/wBW) differed significantly between the control group and each of the estrogenic treatments in both sexes with larger wAGD/wBW values associated with each of the estrogenic treatments. Males exposed to High DES and GEN alone exhibited earlier onset of puberty. Only females in the low DES group showed an earlier onset of puberty. At 50 to 70 days of age, the ratios of male reproductive organ weights/body weight were unaffected by estrogen treatment in all groups except high DES which increased testicle weight and decreased epididymis, seminal vesicle, and prostate weights. Initial vaginal cycle lengths were affected only in the high DES group. Thus low doses of DES and GEN at levels comparable to the upper range of human exposure affect some but not all markers of sexual development. Second Study: Amniotic fluid samples obtained at routine amniocentesis between 15 and 23 weeks of gestation were assayed by gas chromatographic/mass spectrometric (GC/MS) analysis. The first group of amniotic fluid samples (n = 53) from 51 women were analysed for several xenobiotic EACs. Alpha-hexachlorocyclohexane, with a mean (± SD) concentration of 0.15 ± 0.06 (ng/ml), and p,p′-DDE, with a mean (± SD) concentration of 0.21 ± 0.18?ng/ ml, were detected in several specimens. Overall one in three amniotic fluid samples tested positive for at least one xenobiotic EAC. Another group of amniotic fluid samples (n = 62) from 56 women were analysed for phytoestrogenic EACs. The mean (± SD) concentration of daidzein and genistein in amniotic fluid were 1.14 ± 1.04 and 1.37 ± 1.00?ng/ml with maximum levels of 5.52 and 4.86?ng/ml, respectively. Overall, 26 and 34 of the samples had quantifiable levels of daidzein and genistein, respectively. Conclusions: One in three human fetuses were exposed to xenobiotic EACs and two of three human fetuses were exposed to phytoestrogenic EACs in utero. Our demonstrations that EACs have developmental effects in an animal model at levels of exposure that mimic those found in humans in North America during sensitive time-frames sustains concerns about potential adverse health effects of developmental exposures to EACs for the human fetus/neonate.     

Some insights into protein structural class prediction

It has been quite clear that the success rate for predicting protein structural class can be improved significantly by using the algorithms that incorporate the coupling effect among different amino acid components of a protein. However, there is still a lot of confusion in understanding the relationship of these advanced algorithms, such as the least Mahalanobis distance algorithm, the component-coupled algorithm, and the Bayes decision rule. In this communication, a simple, rigorous derivation is provided to prove that the Bayes decision rule introduced recently for protein structural class prediction is completely the same as the earlier component-coupled algorithm. Meanwhile, it is also very clear from the derivative equations that the least Mahalanobis distance algorithm is an approximation of the component-coupled algorithm, also named as the covariant-discriminant algorithm introduced by Chou and Elrod in protein subcellular location prediction (Protein Engineering, 1999; 12:107-118). Clarification of the confusion will help use these powerful algorithms effectively and correctly interpret the results obtained by them, so as to conduce to the further development not only in the structural prediction area, but in some other relevant areas in protein science as well.     

Three-dimensional structure of the inclusion complex between phloridzin and beta-cyclodextrin

The inclusion of phloridzin into beta-cyclodextrin was studied as a model of molecular recognition in membranes. Effects on 1H NMR spectra and NOE correlational peaks between phloridzin and beta-cyclodextrin were observed in the complex. Strong NOEs were observed between hydrogens of a phenol group in phloridzin and beta-cyclodextrin. The three-dimensional structure of the inclusion complex between phloridzin and beta-cyclodextrin was simulated with distance constraints estimated by the intensity of NOE peaks using the DADAS90 programs. Two inclusion possibilities were suggested-the large rim of beta-cyclodextrin as an entrance of the inclusion and the small rim of beta-cyclodextrin as the entrance. In both cases, the phenol group of phloridzin was included in the hydrophobic space of beta-cyclodextrin.     

Examining genetic structure in a bogus yucca moth: a sequential approach to phylogeography

Understanding the phylogeography of a species requires not only elucidating patterns of genetic structure among populations, but also identifying the possible evolutionary events creating that structure. The use of a single phylogeographic test or analysis, however, usually provides a picture of genetic structure without revealing the possible underlying evolutionary causes. We used current analytical techniques in a sequential approach to examine genetic structure and its underlying causes in the bogus yucca moth Prodoxus decipiens (Lepidoptera: Prodoxidae). Both historical biogeography and recent human transplantations of the moth's host plants provided a priori expectations of the pattern of genetic structure and its underlying causes. We evaluated these expectations by using a progression of phylogenetic, demographic, and population genetic analyses of mtDNA sequence data from 476 individuals distributed across 25 populations that encompassed the range of P. decipiens. The combination of these analyses revealed that much of the genetic structure has evolved more recently than suggested by historical biogeography, has been influenced by changes in demography, and can be best explained by long distance dispersal and isolation by distance. We suggest that performing a suite of analyses that focus on different temporal scales may be an effective approach to investigating the patterns and causes of genetic structure within species.     

Molecular dynamics of the FixJ receiver domain: movement of the beta4-alpha4 loop correlates with the in and out flip of Phe101

FixJ is a two-domain response regulator involved in nitrogen fixation in Sinorhizobium meliloti. Recent X-ray characterization of both the native (unphosphorylated) and the active (phosphorylated) states of the protein identify conformational changes of the beta4-alpha4 loop and the conserved residue Phe101 as the key switches in activation. These structures also allowed investigation of the transition between conformations of this two-component regulatory receiver domain by molecular dynamics simulations. The path for the conformational change was studied with a distance constraint directing the system from one state to the other. The simulations provide evidence for a correlation between the conformation of the beta4-alpha4 loop and the orientation of the residue Phe101. A model presenting the sequence of events during the activation/deactivation process is discussed.     

Evolutionary and statistical properties of three genetic distances

Many genetic distances have been developed to summarize allele frequency differences between populations. I review the evolutionary and statistical properties of three popular genetic distances: DS, DA, and theta;, using computer simulation of two simple evolutionary histories: an isolation model of population divergence and an equilibrium migration model. The effect of effective population size, mutation rate, and mutation mechanism upon the parametric value between pairs of populations in these models explored, and the unique properties of each distance are described. The effect of these evolutionary parameters on study design is also investigated and similar results are found for each genetic distance in each model of evolution: large sample sizes are warranted when populations are relatively genetically similar; and loci with more alleles produce better estimates of genetic distance.     

Genetic analysis and FISH mapping of the Colourless non-ripening locus of tomato

Cnr (Colourless non-ripening) is a dominant pleiotropic ripening mutation of tomato (Lycopersicon esculentum) which has previously been mapped to the proximal region of tomato chromosome 2. We describe the fine mapping of the Cnr locus using both linkage analysis and fluorescence in situ hybridisation (FISH). Restriction fragment length polymorphism (RFLP)-, amplified restriction fragment polymorphism (AFLP)-, and cleaved amplified polymorphic sequence (CAPS)-based markers, linked to the Cnr locus were mapped onto the long arm of chromosome 2. Detailed linkage analysis indicated that the Cnr locus was likely to lie further away from the top of the long arm than previously thought. This was confirmed by FISH, which was applied to tomato pachytene chromosomes in order to gain an insight into the organisation of hetero- and euchromatin and its relationship to the physical and genetic distances in the Cnr region. Three molecular markers linked to Cnr were unambiguously located by FISH to the long arm of chromosome 2 using individual BAC probes containing these single-copy sequences. The physical order of the markers coincided with that established by genetic analysis. The two AFLP markers most-closely linked to the Cnr locus were located in the euchromatic region 2.7-cM apart. The physical distance between these markers was measured on the pachytene spreads and estimated to be approximately 900 kb, suggesting a bp:cM relationship in this region of chromosome 2 of about 330 kb/cM. This is less than half the average value of 750 kb/cM for the tomato genome. The relationship between genetic and physical distances on chromosome 2 is discussed. Received: 11 January 2001 / Accepted: 30 April 2001     

Multivariate approach for selecting sets of differentially expressed genes

An important problem addressed using cDNA microarray data is the detection of genes differentially expressed in two tissues of interest. Currently used approaches ignore the multidimensional structure of the data. However it is well known that correlation among covariates can enhance the ability to detect less pronounced differences. We use the Mahalanobis distance between vectors of gene expressions as a criterion for simultaneously comparing a set of genes and develop an algorithm for maximizing it. To overcome the problem of instability of covariance matrices we propose a new method of combining data from small-scale random search experiments. We show that by utilizing the correlation structure the multivariate method, in addition to the genes found by the one-dimensional criteria, finds genes whose differential expression is not detectable marginally.     

Identifying metameric variation in extant hominoid and fossil hominid mandibular molars

Landmark data were collected from cross sections and occlusal images of mandibular molar crowns, and Euclidean distance matrix analysis (EDMA) was used to identify metameric morphological variation between the first and second mandibular molars of living taxa: Gorilla gorilla (n = 30), Pan troglodytes (n = 34), and Homo sapiens (n = 26). Two patterns of metameric variation were identified, one unique to humans and the other shared by chimpanzees and gorillas. In order to assess the utility of this type of analysis for the interpretation of the hominid fossil record, 19 mandibular molars from Sterkfontein Member 4, South Africa, were examined. The pattern of metameric variation of the Sterkfontein molars resembled that of the African great apes, and differed from the modern human pattern. These results demonstrate that data on metameric variation may provide information regarding function or developmental processes previously indiscernible from fossil material.