BAPS 2: enhanced possibilities for the analysis of genetic population structure

Bayesian statistical methods based on simulation techniques have recently been shown to provide powerful tools for the analysis of genetic population structure. We have previously developed a Markov chain Monte Carlo (MCMC) algorithm for characterizing genetically divergent groups based on molecular markers and geographical sampling design of the dataset. However, for large-scale datasets such algorithms may get stuck to local maxima in the parameter space. Therefore, we have modified our earlier algorithm to support multiple parallel MCMC chains, with enhanced features that enable considerably faster and more reliable estimation compared to the earlier version of the algorithm. We consider also a hierarchical tree representation, from which a Bayesian model-averaged structure estimate can be extracted. The algorithm is implemented in a computer program that features a user-friendly interface and built-in graphics. The enhanced features are illustrated by analyses of simulated data and an extensive human molecular dataset. AVAILABILITY: Freely available at http://www.rni.helsinki.fi/~jic/bapspage.html.     

Exploring the effect of xenon on biomembranes

We report the initial findings of 100 ns molecular dynamics simulations of the role of cellular membranes in general anaesthesia. The effect of xenon on hydrated dipalmitoylphosphatidylcholine bilayers is described. The xenon atoms were found to prefer the interfacial and central regions of the bilayer. The presence of xenon was observed to lead to a small increase in the surface area, membrane thickness, and order of the acyl chains.     

Managing Nordic boreal forest landscapes for biodiversity: ecological and economic perspectives

More conservation-oriented forest management practices have been implemented recently in the Nordic countries. The goal of this ecological forest landscape management is to reconcile the commercial harvesting of boreal forests with biodiversity conservation. Management aims at maintaining viable populations of the full array of naturally occurring species in an area while still keeping the timber flow as maximal as possible. Basic ecological tools of managing landscape for biodiversity are (1) to mimic natural disturbance regimes, (2) to set aside areas in permanent or temporary nature reserves, and (3) to enhance dispersal of organisms by creating habitat corridors and stepping stones. The ecological basis of this management system is not well founded, and much more empirical and theoretical research is needed to justify and further develop forest landscape management. It has also proved difficult to assess the economic consequences of more conservation-oriented forest management because the market economy largely fails to give value to forest products other than fibre. Considerable methodological development in the valuation of non-timber goods has occurred in recent years, but there is still much controversy over the justification of the valuation procedure in principle. It seems that both economic and moral approaches to the issue of valuation are inseparable from the choices and decisions we have to make about ecological systems. Perhaps the most fruitful outcome can be achieved by using moral and economic arguments in parallel.     

Detecting tumor response to treatment using hyperpolarized 13C magnetic resonance imaging and spectroscopy

Measurements of early tumor responses to therapy have been shown, in some cases, to predict treatment outcome. We show in lymphoma-bearing mice injected intravenously with hyperpolarized [1-(13)C]pyruvate that the lactate dehydrogenase-catalyzed flux of (13)C label between the carboxyl groups of pyruvate and lactate in the tumor can be measured using (13)C magnetic resonance spectroscopy and spectroscopic imaging, and that this flux is inhibited within 24 h of chemotherapy. The reduction in the measured flux after drug treatment and the induction of tumor cell death can be explained by loss of the coenzyme NAD(H) and decreases in concentrations of lactate and enzyme in the tumors. The technique could provide a new way to assess tumor responses to treatment in the clinic.     

A genome-wide association study identifies UGT1A1 as a regulator of serum cell-free DNA in young adults: The Cardiovascular Risk in Young Finns Study

Introduction

Circulating cell-free DNA (cf-DNA) is a useful indicator of cell death, and it can also be used to predict outcomes in various clinical disorders. Several innate immune mechanisms are known to be involved in eliminating DNA and chromatin-related material as part of the inhibition of potentially harmful autoimmune responses. However, the exact molecular mechanism underlying the clearance of circulating cf-DNA is currently unclear.

Methods

To examine the mechanisms controlling serum levels of cf-DNA, we carried out a genome-wide association analysis (GWA) in a cohort of young adults (aged 24–39 years; n = 1841; 1018 women and 823 men) participating in the Cardiovascular Risk in Young Finns Study. Genotyping was performed with a custom-built Illumina Human 670 k BeadChip. The Quant-iT^TM high sensitivity DNA assay was used to measure cf-DNA directly from serum.

Results

The results revealed that 110 single nucleotide polymorphisms (SNPs) were associated with serum cf-DNA with genome-wide significance (p<5×10⁻⁸). All of these significant SNPs were localised to chromosome 2q37, near the UDP-glucuronosyltransferase 1 (UGT1) family locus, and the most significant SNPs localised within the UGT1 polypeptide A1 (UGT1A1) gene region.

Conclusion

The UGT1A1 enzyme catalyses the detoxification of several drugs and the turnover of many xenobiotic and endogenous compounds by glucuronidating its substrates. These data indicate that UGT1A1-associated processes are also involved in the regulation of serum cf-DNA concentrations.     

New insights into butterfly-environment relationships using partitioning methods

Variation partitioning and hierarchical partitioning are novel statistical approaches that provide deeper understanding of the importance of different explanatory variables for biodiversity patterns than traditional regression methods. Using these methods, the variation in occupancy and abundance of the clouded apollo butterfly (Parnassius mnemosyne L.) was decomposed into independent and joint effects of larval and adult food resources, microclimate and habitat quantity. The independent effect of habitat quantity variables (habitat area and connectivity) captured the largest fraction of the variation in the clouded apollo patterns, but habitat connectivity had a major contribution only for occupancy data. The independent effects of resources and microclimate were higher on butterfly abundance than on occupancy. However, a considerable amount of variation in the butterfly patterns was accounted for by the joint effects of predictors and may thus be causally related to two or all three groups of variables. Abundance of the butterfly in the surroundings of the focal grid cell had a significant effect in all analyses, independently of the effects of other predictors. Our results encourage wider applications of partitioning methods in biodiversity studies.     

Extensive MHC class II DRB3 diversity in African and European cattle

Genetic deversity at the highly polymorphic BoLA-DRB3 locus was investigated by DNA sequence analyses of 18 African cattle from two breeds representing the two subspecies of cattle, Bos primigenius indicus and Bos primigenius taurus. Yhe polymorphism was compared with that found in a sample ofd 32 European cattle from four breeds, all classified as B. p. taurus. Particularly extensive genetic diversity was found among African cattle, in which as many as 18 alleles were recognized in this small random sample of animals from two breeds. The observed similarity in allele frequency distribution between the two African populations, N'Dama and Zebu cattle, is consistent with the recent recognition of gene flow between B. p. indicus and B. P taurus cattle in Africa. A total of 30 DRB3 alleles were documented and as many as 26 of these were classified as major allelic types showing at least five amino acid substitutions compared with other major types. The observation of extensive genetic diversity at MHC loci in cattle, as well as in other farm animals, provides a compelling argument against matin-type preferences as a primary cause in maintaining major histocompatibility complex diversity, since the reproduction of these animals has been controlled by humans for many generations.The nucleotide sequence data reported in this paper have been submitted to the EMBL nucleotide sequence database and have been given the accession numbers X87641-X87670