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PubMed1999

DnaSP version 3: an integrated program for molecular population genetics and molecular evolution analysis.

UNLABELLED: DnaSP is a Windows integrated software package for the analysis of the DNA polymorphism from nucleotide sequence data. DnaSP version 3 incorporates several methods for estimating the amount and pattern of DNA polymorphism and divergence, and for conducting neutrality tests. AVAILABILITY: For academic uses, DnaSP is available free of charge from: http://www.bio.ub.es/julio/DnaSP.html CONTACT: julio@porthos.bio.ub.es

Computer Simulation↗
PubMedDate not supplied

Counting all possible ancestral configurations of sample sequences in population genetics.

Given a set D of input sequences, a genealogy for D can be constructed backward in time using such evolutionary events as mutation, coalescent, and recombination. An ancestral configuration (AC) can be regarded as the multiset of all sequences present at a particular point in time in a possible genealogy for D. The complexity of computing the likelihood of observing D depends heavily on the total number of distinct ACs of D and, therefore, it is of interest to estimate that number. For D consisting of binary sequences of finite length, we consider the problem of enumerating exactly all distinct ACs. We assume that the root sequence type is known and that the mutation process is governed by the infinite-sites model. When there is no recombination, we construct a general method of obtaining closed-form formulas for the total number of ACs. The enumeration problem becomes much more complicated when recombination is involved. In that case, we devise a method of enumeration based on counting contingency tables and construct a dynamic programming algorithm for the approach. Last, we describe a method of counting the number of ACs that can appear in genealogies with less than or equal to a given number R of recombinations. Of particular interest is the case in which R is close to the minimum number of recombinations for D.

Biological Evolution↗
PubMed2006

Letting the gene out of the bottle: the population genetics of genetically modified crops.

Genetically modified (GM) plants are rapidly becoming a common feature of modern agriculture. This transition to engineered crops has been driven by a variety of potential benefits, both economic and ecological. The increase in the use of GM crops has, however, been accompanied by growing concerns regarding their potential impact on the environment. Here, we focus on the escape of transgenes from cultivation via crop x wild hybridization. We begin by reviewing the literature on natural hybridization, with particular reference to gene flow between crop plants and their wild relatives. We further show that natural selection, and not the overall rate of gene flow, is the most important factor governing the spread of favorable alleles. Hence, much of this review focuses on the likely effects of transgenes once they escape. Finally, we consider strategies for transgene containment.

Crops, Agricultural↗
PubMed1995

Ecological population genetics: the interface between genes and the environment.

We review recent studies in ecological genetics considering the way genes interact with the environment. Studies on morphological and allozyme polymorphisms continue to highlight problems in identifying selective factors. Selection on allozymes as well as quantitative traits may only occur under specific conditions. Responses to toxins illustrate how adaptive changes can be based on major genes with polygenic modifiers. Analyses of continuous variation in ecologically relevant traits suggest low levels of heritable variation in some natural situations and emphasize the importance of genetic interactions. It is still not clear if adaptive responses in quantitative traits tend to involve major or minor genes. There is some evidence for genetic tradeoffs among environments and life history traits. Low levels of genetic variation, tradeoffs, and gene flow may restrict distributions and habitats occupied by species, but their relative importance remains unclear.

Animals↗
PubMed2000

Population genetics and benefit sharing.

The majority of international or national guidelines, specific to human genetics concentrate on actual or potential clinical applications. In contrast, the Ethics Committee of the Human Genome Organisation (HUGO) attempts to provide guidance to the bench scientists engaged in fundamental research in genomics prior to any clinical applications. Often confused as constituting the Human Genome Project (HGP) itself, HUGO's (Human Genome Organization) ultimate goal is to assist in the worldwide collaboration underpinning the HGP. It is an international organisation with 1,229 members in approximately 60 countries. The Ethics Committee is one of HUGO's six international advisory committees. Composed of experts from a number of countries and disciplines, the HUGO Ethics Committee promotes discussion and understanding of social, legal, and ethical issues as they relate to the conduct of, and knowledge derived from, the Genome Initiative. Currently, it has 13 members from 11 difference countries. It has produced statements on the conduct of genetic research, on cloning, and, has most recently presented a 'Statement on Benefit-Sharing', April 11, 2000. The Intellectual Property Committee of HUGO has been active in the controversial area of patenting. The issue of benefit-sharing is one that has its source in the mandate of both committees. How to avoid both commodification of the person through payment for access to DNA and biopiracy with no return to benefits to the families or community? While patents are a legitimate form of recognition for innovation, there seems to be no therapeutic exception to some of its stringent rules and the 'morality' exclusion has lain dormant. The HUGO 'Statement on Benefit-Sharing' examines the issues of defining community, common heritage, distributive justice and solidarity before arriving at its conclusions in benefit-sharing. This communication reviews some of these issues.

Genetics, Population↗
PubMed2006

Population genetics of translational robustness.

Recent work has shown that expression level is the main predictor of a gene's evolutionary rate and that more highly expressed genes evolve slower. A possible explanation for this observation is selection for proteins that fold properly despite mistranslation, in short selection for translational robustness. Translational robustness leads to the somewhat paradoxical prediction that highly expressed genes are extremely tolerant to missense substitutions but nevertheless evolve very slowly. Here, we study a simple theoretical model of translational robustness that allows us to gain analytic insight into how this paradoxical behavior arises.

Evolution, Molecular↗
PubMed2006

The population genetics of adaptation on correlated fitness landscapes: the block model.

Several recent theoretical studies of the genetics of adaptation have focused on the mutational landscape model, which considers evolution on rugged fitness landscapes (i.e., ones having many local optima). Adaptation in this model is characterized by several simple results. Here I ask whether these results also hold on correlated fitness landscapes, which are smoother than those considered in the mutational landscape model. In particular, I study the genetics of adaptation in the block model, a tunably rugged model of fitness landscapes. Considering the scenario in which adaptation begins from a high fitness wild-type DNA sequence, I use extreme value theory and computer simulations to study both single adaptive steps and entire adaptive walks. I show that all previous results characterizing single steps in adaptation in the mutational landscape model hold at least approximately on correlated landscapes in the block model; many entire-walk results, however, do not.

Adaptation, Physiological↗
PubMed2005

Colony social organization and population genetic structure of an introduced population of formosan subterranean termite from New Orleans, Louisiana.

The Formosan subterranean termite, Coptotermes formosanus Shiraki, is an invasive species in many parts of the world, including the U.S. mainland. The reasons for its invasive success may have to do with the flexible social and spatial organization of colonies. We investigated the population and breeding structure of 14 C. formosanus colonies in Louis Armstrong Park, New Orleans, LA. This population has been the focus of extensive study for many years, providing the opportunity to relate aspects of colony breeding structure to previous findings on colony characteristics such as body weight and number of workers, wood consumption, and intercolony aggression. Eight colonies were headed by a single pair of outbred reproductives (simple families), whereas six colonies were headed by low numbers of multiple kings and/or queens that were likely the neotenic descendants of the original colony (extended families). Within the foraging area of one large extended family colony, we found genetic differentiation among different collection sites, suggesting the presence of separate reproductive centers. No significant difference between simple family colonies and extended family colonies was found in worker body weight, soldier body weight, foraging area, population size, or wood consumption. However, level of inbreeding within colonies was negatively correlated with worker body weight and positively correlated with wood consumption. Also, genetic distance between colonies was positively correlated with aggression levels, suggesting a genetic basis to nestmate discrimination cues in this termite population. No obvious trait associated with colony reproductive structure was found that could account for the invasion success of this species.

Animals↗
PubMedDate not supplied

Population genetic study of the STR loci (HUMCSF1PO, HUMTPOX, HUMTHO1, HUMLPL, HUMF13A01, HUMF13B, HSFESFPS and HUMVWA) in North Indians.

BACKGROUND: Highly polymorphic genetic markers like short tandem repeats (STRs) have been used successfully in disease analysis and studies of human evolution and population genetic diversity. However, DNA-based population genetic studies of Indian populations are limited. SUBJECTS AND METHODS: To enlarge our understanding of genetic variation in Indian populations, a population genetic study was carried out on Jat Sikh (Punjab, North India) individuals (n = 150) using a battery of the STR loci. The STR loci analysed by means of PCR amplification followed by electrophoresis and silver staining included HUMCSF1PO, HUMTPOX, HUMTHO1, HUMLPL, HUMF13A01, HUMF13B, HUMFESFPS and HUMVWA loci. RESULTS: The overall pattern of allele frequencies was similar to many Caucasian and Indian populations and heterozygosity varied from 65% (HUMLPL) to 85% (HUMVWA). For all eight loci, no deviations from the Hardy-Weinberg equilibrium hypothesis were detected. Significant differences were observed between Jat Sikhs and African, Chinese and Indian tribes. The mean exclusion probability ranged from 35% to 70%, and the power of discrimination from 81% to 93%, indicating the potential of these loci for forensic and paternity investigations. CONCLUSION: The allele frequency spectrum, heterozygosity, probability of exclusion, match probability and discrimination probability estimates show interesting variation and suggest the usefulness of these loci for anthropogenetic, paternity and forensic investigations in Indian populations.

DNA Fingerprinting↗