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Habitat type predicts genetic population differentiation in freshwater invertebrates.

A basic challenge in evolutionary biology is to establish links between ecology and evolution of species. One important link is the habitat template. It has been hypothesized, that the spatial and temporal settings of a habitat strongly influence the evolution of species dispersal propensity. Here, we evaluate the importance of the habitat type on genetic population differentiation of species using freshwater habitats as a model system. Freshwater habitats are either lentic (standing) or lotic (running). On average, lotic habitats are more stable and predictable over space and time than lentic habitats. Therefore, lentic habitats should favour the evolution of higher dispersal propensity which ensures population survival of lentic species. To test for such a relationship, we used extensive data on species' genetic population differentiation of lentic and lotic freshwater invertebrates retrieved from published allozyme studies. Overall, we analysed more than 150 species from all over the world. Controlling for several experimental, biological and geographical confounding effects, we always found that lentic invertebrates exhibit, on average, lower genetic population differentiation than lotic species. This pattern was consistent across insects, crustaceans and molluscs. Our results imply fundamental differences in genetic population differentiation among species adapted to either lentic or lotic habitats. We propose that such differences should occur in a number of other habitat types that differ in spatio-temporal stability. Furthermore, our results highlight the important role of lotic habitats as reservoirs for evolutionary processes and the potential for rapid speciation.

Animals↗

A chromosomal rearrangement hotspot can be identified from population genetic variation and is coincident with a hotspot for allelic recombination.

Insights into the origins of structural variation and the mutational mechanisms underlying genomic disorders would be greatly improved by a genomewide map of hotspots of nonallelic homologous recombination (NAHR). Moreover, our understanding of sequence variation within the duplicated sequences that are substrates for NAHR lags far behind that of sequence variation within the single-copy portion of the genome. Perhaps the best-characterized NAHR hotspot lies within the 24-kb-long Charcot-Marie-Tooth disease type 1A (CMT1A)-repeats (REPs) that sponsor deletions and duplications that cause peripheral neuropathies. We investigated structural and sequence diversity within the CMT1A-REPs, both within and between species. We discovered a high frequency of retroelement insertions, accelerated sequence evolution after duplication, extensive paralogous gene conversion, and a greater than twofold enrichment of SNPs in humans relative to the genome average. We identified an allelic recombination hotspot underlying the known NAHR hotspot, which suggests that the two processes are intimately related. Finally, we used our data to develop a novel method for inferring the location of an NAHR hotspot from sequence variation within segmental duplications and applied it to identify a putative NAHR hotspot within the LCR22 repeats that sponsor velocardiofacial syndrome deletions. We propose that a large-scale project to map sequence variation within segmental duplications would reveal a wealth of novel chromosomal-rearrangement hotspots.

Alleles↗

Population genetics.

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Alcohol Oxidoreductases↗

A panel of 20 highly variable microsatellite polymorphisms in rhesus macaques (Macaca mulatta) selected for pedigree or population genetic analysis.

This paper reports 20 new microsatellite loci that are highly polymorphic in rhesus macaques (Macaca mulatta). We screened known human microsatellite loci to identify markers that are polymorphic in rhesus macaques, and then selected specific loci that show substantial levels of heterozygosity and robust, reliable amplification. The 20 loci reported here were chosen to include one highly informative microsatellite from each rhesus monkey autosomal chromosome. Fourteen of the 20 polymorphisms are tetranucleotide repeats, and all can be analyzed using standard PCR and electrophoresis procedures. These new rhesus markers have an average of 15.5 alleles per locus and average heterozygosity of 0.83. This panel of DNA polymorphisms will be useful for a variety of different genetic analyses, including pedigree testing, paternity analysis, and population genetic studies. Many of these loci are also likely to be informative in other closely related Old World monkey species.

Alleles↗

Minding the gap: frequency of indels in mtDNA control region sequence data and influence on population genetic analyses.

Insertions and deletions (indels) result in sequences of various lengths when homologous gene regions are compared among individuals or species. Although indels are typically phylogenetically informative, occurrence and incorporation of these characters as gaps in intraspecific population genetic data sets are rarely discussed. Moreover, the impact of gaps on estimates of fixation indices, such as F(ST), has not been reviewed. Here, I summarize the occurrence and population genetic signal of indels among 60 published studies that involved alignments of multiple sequences from the mitochondrial DNA (mtDNA) control region of vertebrate taxa. Among 30 studies observing indels, an average of 12% of both variable and parsimony-informative sites were composed of these sites. There was no consistent trend between levels of population differentiation and the number of gap characters in a data block. Across all studies, the average influence on estimates of PhiST was small, explaining only an additional 1.8% of among population variance (range 0.0-8.0%). Studies most likely to observe an increase in PhiST with the inclusion of gap characters were those with < 20 variable sites, but a near equal number of studies with few variable sites did not show an increase. In contrast to studies at interspecific levels, the influence of indels for intraspecific population genetic analyses of control region DNA appears small, dependent upon total number of variable sites in the data block, and related to species-specific characteristics and the spatial distribution of mtDNA lineages that contain indels.

Animals↗

Non-congruent relationships between variation in emm gene sequences and the population genetic structure of group A streptococci.

To examine the molecular population genetics of the M protein family of Streptococcus pyogenes (group A Streptococcus), the 5' regions of polymerase chain reaction-amplified emm products from 79 M serotypes were sequenced and the phylogeny was compared to estimates of overall genetic relationships among strains determined by multilocus enzyme electrophoresis. Although the 5' emm sequences from several strains designated as distinct M types were identical or almost identical, the overall pattern is characterized by very extensive variation. The composition of distinct emm sequence clusters generally parallels the ability of strains to express serum opacity factor and in some cases historical associations of certain M types with acute rheumatic fever, but not with M types classified as nephritogenic. For many strains there is a lack of congruency between variation in 5' emm sequences and estimates of overall chromosomal relationships, which is undoubtedly due to horizontal transfer and recombination of emm sequences. The results of these studies provide insights into the nature and extent of emm sequence variation and describe how this variation 'maps' onto the population genetic structure of extant S. pyogenes lineages. The complexity of emm sequence and streptococcal cell lineage relationships revealed by this analysis has significant implications for understanding evolutionary events generating strain diversity and the epidemiology of S. pyogenes diseases.

Amino Acid Sequence↗

Population genetic models of genomic imprinting.

The phenomenon of genomic imprinting has recently excited much interest among experimental biologists. The population genetic consequences of imprinting, however, have remained largely unexplored. Several population genetic models are presented and the following conclusions drawn: (i) systems with genomic imprinting need not behave similarly to otherwise identical systems without imprinting; (ii) nevertheless, many of the models investigated can be shown to be formally equivalent to models without imprinting; (iii) consequently, imprinting often cannot be discovered by following allele frequency changes or examining equilibrium values; (iv) the formal equivalences fail to preserve some well known properties. For example, for populations incorporating genomic imprinting, parameter values exist that cause these populations to behave like populations without imprinting, but with heterozygote advantage, even though no such advantage is present in these imprinting populations. We call this last phenomenon "pseudoheterosis." The imprinting systems that fail to be formally equivalent to nonimprinting systems are those in which males and females are not equivalent, i.e., two-sex viability systems and sex-chromosome inactivation.

Dosage Compensation, Genetic↗

Quantifying genotyping errors in noninvasive population genetics.

The use of noninvasively collected samples greatly expands the range of ecological issues that may be investigated through population genetics. Furthermore, the difficulty of obtaining reliable genotypes with samples containing low quantities of amplifiable DNA may be overcome by designing optimal genotyping schemes. Such protocols are mainly determined by the rates of genotyping errors caused by false alleles and allelic dropouts. These errors may not be avoided through laboratory procedure and hence must be quantified. However, the definition of genotyping error rates remains elusive and various estimation methods have been reported in the literature. In this paper we proposed accurate codification for the frequencies of false alleles and allelic dropouts. We then reviewed other estimation methods employed in hair- or faeces-based population genetics studies and modelled the bias associated with erroneous methods. It is emphasized that error rates may be substantially underestimated when using an erroneous approach. Genotyping error rates may be important determinants of the outcome of noninvasive studies and hence should be carefully computed and reported.

Alleles↗

Molecular population genetics of accessory gland protein genes and testis-expressed genes in Drosophila mojavensis and D. arizonae.

Molecular population genetic investigation of Drosophila male reproductive genes has focused primarily on melanogaster subgroup accessory gland protein genes (Acp's). Consistent with observations from male reproductive genes of numerous taxa, Acp's evolve more rapidly than nonreproductive genes. However, within the Drosophila genus, large data sets from additional types of male reproductive genes and from different species groups are lacking. Here we report findings from a molecular population genetics analysis of male reproductive genes of the repleta group species, Drosophila arizonae and D. mojavensis. We find that Acp's have dramatically higher average pairwise Ka/Ks (0.93) than testis-enriched genes (0.19) and previously reported melanogaster subgroup Acp's (0.42). Overall, 10 of 19 Acp's have Ka/Ks > 1 either in nonpolarized analyses or in at least one lineage of polarized analyses. Of the nine Acp's for which outgroup data were available, average Ka/Ks was considerably higher in D. mojavensis (2.08) than in D. arizonae (0.87). Contrasts of polymorphism and divergence suggest that adaptive protein evolution at Acp's is more common in D. mojavensis than in D. arizonae.

Animals↗

Estimating recombination rates from population genetic data.

We introduce a new method for estimating recombination rates from population genetic data. The method uses a computationally intensive statistical procedure (importance sampling) to calculate the likelihood under a coalescent-based model. Detailed comparisons of the new algorithm with two existing methods (the importance sampling method of Griffiths and Marjoram and the MCMC method of Kuhner and colleagues) show it to be substantially more efficient. (The improvement over the existing importance sampling scheme is typically by four orders of magnitude.) The existing approaches not infrequently led to misleading results on the problems we investigated. We also performed a simulation study to look at the properties of the maximum-likelihood estimator of the recombination rate and its robustness to misspecification of the demographic model.

Genetics, Population↗

Brief communication: paleoanthropology and the population genetics of ancient genes.

The Mezmaiskaya cave mtDNA is similar in many ways to the Feldhofer cave Neandertal sequence and the more recently obtained Vindija cave sequence. If we accept the contention that the Mezmaiskaya cave specimen is a Neandertal infant, its mtDNA provides no new information about the fate of the European Neandertals. However, there is reason to believe that the Mezmaiskaya cave infant is not a Neandertal, and this places its importance in another light, because it delimits the possible hypotheses of Neandertal and recent human genetic relationships. One possibility is a that the pattern found in ancient mtDNA results from the replacement of an isolated gene pool (Neandertals) by one of its contemporaries (modern humans). A second possibility is natural selection expressed as the substitution of an advantageous mtDNA variant within a single large species, including both Neandertals and modern humans. The geologic, archaeological, and dating evidence shows the Mezmaiskaya cave infant to be a burial from a level even more recent than the Upper Paleolithic preserved at the site, and its anatomy does not contradict the assessment that the Mezmaiskaya cave infant is not a Neandertal. Therefore, the second pattern can be favored over the first.

Animals↗

Population genetics of colonic cancer.

BACKGROUND: There are several well known but rare syndromes of inherited colonic cancer. Genetic epidemiologic studies also have demonstrated that relatives of individuals with colonic cancer in general exhibit an excess risk for this malignancy. METHODS: This report reviews the literature pertinent to genetic and familial risk for colonic cancer with emphasis on the recent work that suggests that inherited susceptibility to colonic neoplasms is common. RESULTS: The adenomatous polyposis syndromes are rare inherited colonic cancer conditions caused by a mutant gene which recently has been characterized. Hereditary nonpolyposis colorectal cancer is likewise inherited and may account for up to 5% of cases. The molecular genetics of this disease remain to be clarified. The majority of colonic cancer cases are considered sporadic but are known to often cluster in families. Recent work suggests that inherited susceptibility may be the basis of this familial occurrence. Screening strategies based on inherited and familial risk are suggested. CONCLUSIONS: Knowledge of the familial and inherited risk for colonic cancer is leading to a better understanding of this disease and is suggesting more directed preventive strategies.

Adenomatous Polyposis Coli↗

Population genetics of apolipoproteins A-IV, E, and H, and the angiotensin converting enzyme (ACE): associations with lipids, and apolipoprotein levels in American Samoans.

Distributions of alleles at three apolipoprotein loci (APO E, APO H, and APO A-IV) and an insertion/deletion (I/D) polymorphism at the angiotensin converting enzyme (ACE) locus among 274 American Samoans are described here. Genotypes at each locus are examined for associations with quantitative lipid (total cholesterol (total-c), LDL-cholesterol (LDL-c), HDL-cholesterol (HDL-c), and triglycerides) and apolipoprotein (APO AI, APO AII, APO E, and APO B) levels. Genotype frequencies at all four loci are in Hardy-Weinberg equilibrium. The most common APO A-IV genotype (1-1) was observed in 252 American Samoans (97%). The three most common APO E genotypes were 3-3 (47%), 3-4 (30%), and 2-3 (12%). The most frequent APO H genotype was 2-2 (86%). The most common ACE genotype (I/I) was observed in 75% of sampled individuals, and 23% were I/D heterozygotes. APO E genotypic variation was associated with total-c, HDL-c, LDL-c, and all four quantitative apolipoproteins (AI, AII, E, and B). APO A-IV genotypes were associated significantly with total cholesterol, LDL-c, and APO-B levels. APO H showed little association with any quantitative lipid or apolipoprotein. ACE D/D homozygotes had higher AII levels. ACE showed a consistent association with APO AII levels, with either APO A-IV or APO E as a covariate. The interaction term between ACE and APO E was also significantly associated with total-c and APO E levels, and the ACE genotype showed a significant main effect on APO AI levels in multivariate analyses.

American Samoa↗