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  • 1
    Online Resource
    Online Resource
    Tokyo :Springer Japan,
    Keywords: Human genome. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (264 pages)
    Edition: 1st ed.
    ISBN: 9784431569046
    Series Statement: Evolutionary Studies
    DDC: 576.8
    Language: English
    Note: Intro -- Preface -- Contents -- Part I: Non-neutral Evolution on Human Genes -- Chapter 1: Anthropogeny -- 1.1 Getting at the Origins of the Human Phenomenon -- 1.2 Our Evolutionary Roots -- 1.2.1 Homo Sapiens: The Paradoxical Ape -- 1.2.2 Measuring Genetic Distance -- 1.2.3 Ancient Genome Data -- 1.2.4 Limits to Detecting Ancient Selection -- 1.2.5 Phenotypes Are More Than Nucleic Acids and Proteins -- 1.3 Phenotypes: From Fossils to Past Behavior, Current Physiology, and Cognition -- 1.3.1 Fossil Data -- 1.3.2 Archeological Data: Fossilized Behavior -- 1.3.3 Stable Isotopes, Paleoclimate, and Paleonutrition -- 1.3.4 Learning from Living Foragers -- 1.3.5 The Holocene Trap -- 1.3.6 Biological Proxies for Past Behavior -- 1.3.7 The Crying Need for Phenotypic Data of Non-human Hominids -- 1.3.8 Niche Construction and Top-Down Effects -- 1.3.9 The Physical Niche -- 1.3.10 The Socio-Cognitive Niche -- 1.4 The Cultural Niche -- 1.5 Language and Theory of Mind -- 1.5.1 The Brain Needs the Body and the Group -- 1.6 Opportunities and Limitations -- 1.7 Open Minds, Closed Umbrellas -- 1.7.1 The Need for Transdisciplinarity -- 1.8 Why Anthropogeny? -- 1.9 Note of Caution -- References -- Chapter 2: Positive Selection in Human Populations: Practical Aspects and Current Knowledge -- 2.1 Statistical Approaches to Identify Signals of Positive Selection -- 2.1.1 Using Polymorphism Data -- 2.1.1.1 Tests Based on Long Haplotypes -- 2.1.1.2 Tests Based on Site Frequency Spectrum -- 2.1.1.3 Tests Based on Genetic Differentiation -- 2.2 Practical Challenges in Detecting Positive Selection Using Polymorphism Data -- 2.2.1 Distortions Due to Ascertainment Bias -- 2.2.2 The Confounding Factor of Background Selection -- 2.2.3 Demography Can Mimic Positive Selection -- 2.2.3.1 Migration and Structure -- 2.2.3.2 Population Expansion -- 2.2.3.3 Population Bottleneck. , 2.2.3.4 Founder Effect -- 2.2.4 Has a Region of Interest Evolved Under Positive Selection? -- 2.2.4.1 Using Simulations Accounting for Demography -- 2.2.4.2 Outlier Approach -- 2.2.4.3 Combination of Different Tests -- 2.2.5 Selection Not Only by Hard Sweep -- 2.2.5.1 Soft Sweep -- 2.2.5.2 Polygenic Adaptation -- 2.2.5.3 Recent Methodological Advances in Detecting Alternative Sweep Scenarios -- 2.2.6 From Putative Advantageous Mutation to Increased Fitness -- 2.3 Current Knowledge on Positive Selection in the Human Genome -- 2.3.1 Candidate Gene Studies of Positive Selection -- 2.3.2 Genome-Wide Scans for Positive Selection -- 2.3.3 Insights from Published Studies of Positive Selection in Humans -- 2.3.3.1 Functional Categories for the Selected Protein-Coding Genes -- 2.3.3.2 Complex Adaptive Traits -- 2.3.3.3 The Importance of Regulatory Elements -- 2.4 Concluding Remarks -- References -- Chapter 3: Population Genomics of High-Altitude Adaptation -- 3.1 Background -- 3.2 High-Altitude Human Populations -- 3.2.1 Tibet -- 3.2.2 Andes -- 3.2.3 Ethiopia -- 3.3 Physiological Clues of High-Altitude Adaptation -- 3.4 Genetic Basis of High-Altitude Adaptation -- 3.4.1 Two Well-Recognized Genes (EPAS1 and EGLN1) and a Core Pathway (HIF) -- 3.4.2 A Broader Perspective from Multi-omics Resources -- 3.4.3 ``Borrowed Fitness´´ from Archaic Hominins -- 3.4.4 Convergent Adaptation -- 3.5 Current Limitations and Future Directions -- References -- Part II: Evolution of Modern Human Populations -- Chapter 4: Mitochondrial DNA -- 4.1 Outline of This Chapter -- 4.2 Characters of mtDNA and Its Merits for Studying Human Populations -- 4.3 Emergence of Modern Humans and Establish of Genetic Diversity of Current Human Populations -- 4.3.1 Neanderthals and Modern Humans -- 4.4 Controversy Between Pedigree Based Estimation and Divergence Based Estimation -- 4.5 Haplogroups. , 4.5.1 Phylogeny of Haplogroups -- 4.6 Demographic History Estimation Based on mtDNA -- 4.6.1 mtDNA Research Example Using BSP: Peopling to America -- 4.7 Disease -- 4.7.1 Missing Heritability and mtDNA Variation -- References -- Chapter 5: The Y Chromosome -- 5.1 The Odd Chromosome and Its History -- 5.2 Not All Y Chromosomes Are Created Equal: Polymorphisms in the Y Chromosome -- 5.3 Climbing Down the Y Tree -- 5.4 La Donna è Mobile Ma Non Troppo -- 5.5 Male Lines -- 5.6 A Royal Mystery in Three Acts -- 5.7 Hacking the Y Chromosome -- References -- Chapter 6: Africa -- 6.1 The African Landscape -- 6.2 African Genetic Diversity in a Global Scale -- 6.3 Genetic Diversity Within Africa -- 6.4 Local Genetic Diversity Within Africa -- 6.4.1 North Africans, the Misfit Within the Continent -- 6.4.2 Khoisan-Speakers, the Deepest Branch in the Humankind Tree -- 6.4.3 The Pygmies, the Hunter-Gatherers of the African Equatorial Forest -- 6.4.4 East African Groups, Source and Sink of Genetic Diversity -- 6.4.5 Western and Bantu-Speakers, the Major Component in Africa -- 6.4.6 Madagascar, an Island Between Two Distant Continents -- 6.5 Some Adaptive Variants in African Groups -- References -- Chapter 7: Peopling and Population Structure of West and South Asia -- 7.1 Introduction -- 7.2 Inferences from Uniparental Markers -- 7.3 Inferences from the Nuclear Genome -- References -- Chapter 8: Europe -- 8.1 Introduction: Genes and the Neolithic -- 8.2 The Making of the European Paleolithic Populations -- 8.3 The Genetic Legacy of Paleolithic Europe -- 8.4 The Genetic Legacy of Neolithic Europe -- 8.5 More Complex Models, More Complex Facts -- 8.6 Post-Neolithic Events in the European Gene Pool -- 8.7 Comparing Models -- 8.8 Conclusion -- References -- Chapter 9: Southeast Asia -- 9.1 Introduction -- 9.2 Contact with Archaic Humans in Southeast Asia. , 9.3 Ancient Migrants and Hunter Gatherers -- 9.4 Human Diversity in Mainland Southeast Asia -- 9.5 Impact of Human Expansions Driven by Agriculture -- 9.6 Concluding Remarks and Perspectives -- References -- Chapter 10: Australia and Oceania -- 10.1 Geography and Ecology of Australia and Oceania -- 10.2 Australia -- 10.3 Oceania -- 10.3.1 Near Oceania in the Pleistocene -- 10.3.2 The Austronesian Expansion and the Colonisation of Remote Oceania -- 10.3.3 Duality of Oceanian Heritage -- 10.3.4 Evidence for Contact Between South America and Polynesia -- 10.3.5 The Unique History of Santa Cruz -- 10.4 Archaic Admixture in Australia and Oceania -- 10.5 Conclusions -- References -- Chapter 11: America -- 11.1 Introduction -- 11.2 Peopling of the American Continents During the Prehistoric Age -- 11.2.1 Environment -- 11.2.2 First Humans of the American Continents -- 11.3 Genetic Analysis of Contemporary Native Americans -- 11.3.1 Genome Analysis with mtDNA and the Y Chromosome -- 11.3.2 Genome Analysis with Nuclear DNA -- 11.4 Genetic Complexities and Ethical Issues on Genome Analysis of Native Americans -- References -- Chapter 12: Simulations of Human Dispersal and Genetic Diversity -- 12.1 Introduction -- 12.2 Modelling and Simulating Human Dispersal -- 12.3 Realistic Simulation with Spatially Explicit Simulations -- 12.4 SPLATCHE: An Example of Spatially Explicit Simulation Program -- 12.4.1 Spatial Structure -- 12.5 Main Results and Discussion -- 12.5.1 Genes Surfing the Waves of Expansion -- 12.5.2 Hybridization During Expansion -- 12.5.3 Limitations and Future Developments -- 12.6 Conclusion -- References -- Index.
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  • 2
    Online Resource
    Online Resource
    Tokyo :Springer Japan,
    Keywords: Human genome. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (306 pages)
    Edition: 1st ed.
    ISBN: 9784431566038
    Series Statement: Evolutionary Studies
    Language: English
    Note: Intro -- Preface -- Contents -- Part I: Overview of the Human Genome -- Chapter 1: Human Evolution and Human Genome at a Glance -- 1.1 Brief Description of Human Evolution -- 1.1.1 From Origin of Life to Emergence of Primates -- 1.1.2 Evolution of Primates and Classification of Hominidae Species -- 1.1.3 Divergence Patterns of Hominoids -- 1.1.4 Sequencing of Hominoid Genomes -- 1.2 Structure of the Human Genome -- 1.2.1 Human Chromosomes and Their Band Structure -- 1.2.2 Protein Genes of the Human Genome -- 1.3 RNA-Coding Genes and Gene Expression Control Regions in the Human Genome -- 1.4 Various Types of Mutations Which Accumulated During Evolution of the Human Genome -- References -- Chapter 2: Rubbish DNA: The Functionless Fraction of the Human Genome -- 2.1 Introduction -- 2.2 What Is Function? -- 2.3 An Evolutionary Classification of Genome Activity and Genome Function -- 2.4 Changes in Functional Affiliation -- 2.5 Genome Size Variation -- 2.6 The C-Value Paradox as Evidence for the Existence of Junk DNA Within the Human Genome -- 2.7 Genetic Mutational Load: Can the Human Genome Be 100% Functional? -- 2.8 Detecting Functionality at the Genome Level -- 2.9 What Proportion of the Human Genome Is Functional? -- 2.10 How Much Garbage DNA Exists in the Human Genome? -- 2.11 Mutational Origins of Junk DNA -- 2.12 Why So Much of the Genome Is Transcribed, or Is It? -- 2.13 Hypotheses Concerning the Maintenance of Junk DNA -- 2.14 Selectionist Hypotheses -- 2.15 Nucleotypic and Nucleoskeletal Hypotheses -- 2.16 The Neutralist Hypothesis -- 2.17 Selfish DNA -- 2.18 The Mutational Hazard Hypothesis: A Nearly Neutralist Hypothesis -- 2.19 Genome Size and Bottlenecks: The Simultaneous Accumulation of Alus, Pseudogenes, and Numts Within Primate Genomes -- 2.20 Is It Junk DNA or Is It Indifferent DNA? -- References. , Chapter 3: GC Content Heterogeneity -- 3.1 Brief History of the GC Content Studies -- 3.2 Three Hypotheses on the Isochore Evolution -- 3.2.1 The Thermodynamic Stability Hypothesis (The Selection Model) -- 3.2.2 The GC-Biased Gene Conversion Hypothesis -- 3.2.3 The Mutation Bias Hypothesis -- 3.3 Definition of Isochore: As a Framework for the Genomic Evolutions -- 3.4 Controversy Over the Isochore Evolution -- 3.5 A New Framework with Nonlinear Dynamics -- 3.6 General Discussion on an Evolutionary Study Based on Nonlinear Dynamics -- 3.7 An Impact of Big Data and Extensive Simulation -- References -- Chapter 4: Protein-Coding and Noncoding RNA Genes -- 4.1 Human Protein-Coding Genes -- 4.1.1 Concepts of Human Protein-Coding Genes -- 4.1.2 A Typical Human Protein-Coding Gene -- 4.1.3 Number of Protein-Coding Genes -- 4.1.4 Immunoglobulin and T-Cell Receptor Genes -- 4.1.5 Pseudogenes -- 4.2 Noncoding RNA Genes -- 4.2.1 Classification of Noncoding RNA Genes -- 4.2.2 Long Noncoding RNAs -- 4.2.3 miRNA and Other Small ncRNAs -- 4.3 Alternative Splicing -- 4.3.1 Mechanisms of AS -- 4.3.2 Patterns of AS -- 4.3.3 Examples of Human AS -- 4.3.4 Evolutionary Conservation of AS -- 4.4 Other Mechanisms for Proteome Diversification -- 4.4.1 Alternative ORFs -- 4.4.2 NAGNAG Introns -- 4.4.3 Selenoproteins -- 4.5 Human Gene Databases -- 4.5.1 HUGO Gene Nomenclature Committee (HGNC) -- 4.5.2 RefSeq -- 4.5.3 GENCODE -- 4.5.4 H-InvDB -- 4.5.5 lncRNAdb -- 4.5.6 Comparisons of Databases -- 4.6 Conclusion -- References -- Chapter 5: Duplicated Genes -- 5.1 Fate of Duplicated Genes: Pseudogenization or Gain of New Function -- 5.2 Short History of Gene Duplication Studies -- 5.3 Types of Gene Duplication -- 5.4 The Number of Tandemly Duplicated Genes in Humans -- References -- Chapter 6: Recombination. , 6.1 Recombination and Its Distribution Along the Genome, Linkage Disequilibrium -- 6.2 Linkage Disequilibrium and a Population View -- 6.3 The Role of Linkage Disequilibrium in Reconstructing Our Past and the Origins of Modern Humans -- References -- Chapter 7: CNVs and Microsatellite DNA Polymorphism -- 7.1 Microsatellite DNA in Human Genome -- 7.1.1 Genomic Distribution -- 7.1.2 Mutational Pattern -- 7.1.3 Microsatellite DNA as Genetic Markers -- 7.2 CNV on Human Genome -- 7.2.1 What Is CNV -- 7.2.2 Variation of CNVs in Human Population -- 7.2.3 CNVs and Chemosensory Receptor Genes -- 7.3 Microsatellite DNA and CNV -- 7.3.1 Variation in Human Populations of Microsatellite DNA -- 7.3.2 CNV and Genome Size -- References -- Part II: The Human Genome Viewed Through Genes -- Chapter 8: Genes on X and Y Chromosomes -- 8.1 The Origin of Sex Chromosomes -- 8.2 History of Human X-Y Chromosome Differentiation -- 8.3 Origins of Genes on Human Sex Chromosomes -- 8.4 Origins of Genes in PAR on Human X and Y Chromosome -- 8.5 Human-Specific Gene Gain and Loss -- 8.6 Conclusion -- References -- Chapter 9: Human Leukocyte Antigen (HLA) Region in Human Population Studies -- 9.1 Introduction -- 9.2 HLA Genotyping Methods -- 9.3 Nomenclature of HLA Alleles -- 9.4 Factors Affecting HLA Diversity -- 9.5 Application of HLA Genotyping -- References -- Chapter 10: Evolution of Genes for Color Vision and the Chemical Senses in Primates -- 10.1 Introduction to Vision and Chemosensory Genes in Primates -- 10.2 Primate Color Vision and Opsin Genes -- 10.2.1 A Basic Knowledge on Primate Color Vision -- 10.2.1.1 Vision Specialization of Primates -- 10.2.1.2 L/M and S Opsins and Trichromatic Color Vision in Primates -- 10.2.1.3 The ``Three-Sites´´ Rule and Variation of Primate L/M Opsins -- 10.2.2 Visual Opsins and the Evolutionary Origin of Primate Color Vision. , 10.2.2.1 S Opsin Loss and Monochromacy -- 10.2.2.2 Dichromacy and Nocturnality -- 10.2.2.3 Origin of Trichromacy Under Dim Light -- 10.2.3 2.3. Visual Opsin Variation in New World Monkeys and Evolutionary Significance of Primate Color Vision -- 10.2.3.1 Overview and General Implications -- 10.2.3.2 Unexpected Hybrid L/M Opsins in Howler Monkeys -- 10.2.3.3 Unequal Allele Frequencies of L/M Opsins -- 10.2.3.4 Behavioral Studies and Evaluation of Trichromacy Advantage -- Limited Support or Contradictive Observations for Trichromacy Advantage -- Dichromat Advantage -- Direct Evaluation of Fitness Effect of Trichromacy -- Revising Conditions of Trichromacy Advantage -- 10.2.4 Uniform and Normal Trichromacy in Catarrhine Primates and Exceptional Variation in Human Color Vision -- 10.2.4.1 Nonhuman Catarrhines Contrasting to Platyrrhines -- 10.2.4.2 Uniqueness of Human Color Vision -- 10.3 Primate Olfaction -- 10.3.1 Evolutionary Trends Among Olfactory Receptor Genes: Numbers, Diversity, and Preservation of Function -- 10.3.2 Genetic Diversity of OR Gene Repertoire in Modern Humans -- 10.3.3 Olfactory Sensitivity of Primates -- 10.3.4 Sensory Ecology and Cross-Modal Usage of Olfaction in Primates -- 10.3.4.1 Uses of Olfactory Behavior -- 10.3.4.2 Sensory Integration: Olfaction, Vision, and the Other Senses (Taste, Touch, Sound) -- 10.3.5 Heterologous Gene Expression Assay for Current and Ancestral ORs in Primates -- 10.3.6 Future Directions in Olfactory Research -- 10.4 Primate Bitter Taste Reception -- 10.4.1 Neutral vs Non-neutral Genetic Variation of Bitter Taste Receptors in Humans and Chimpanzees -- 10.4.2 TAS2R38 Nontaster Variations Independently Arising in Human, Chimpanzee, Macaques -- 10.5 Umami/Sweet Taste Reception -- 10.6 Ending Remarks -- References -- Chapter 11: Global Landscapes of Human Phenotypic Variation in Inherited Traits. , 11.1 Introduction -- 11.2 What Drives Phenotypic Differentiation Between Human Populations? -- 11.3 Identification of Signatures of Adaptive Evolution in the Human Genome -- 11.4 Genes Associated with Common Phenotypic Variations I: Visible Traits -- 11.4.1 Height -- 11.4.2 Obesity -- 11.4.3 Pigmentation -- 11.4.4 Morphology of Hair, Teeth, and Other Skin Appendages -- 11.4.5 Baldness -- 11.4.6 Facial Morphology -- 11.5 Genes Associated with Common Phenotypic Variations II: Physiological Traits -- 11.5.1 Lactase Persistence -- 11.5.2 Alcohol Intolerance -- 11.5.3 Apocrine Gland Secretion -- 11.5.4 Blood Types -- 11.6 Closing Remarks -- References -- Chapter 12: Transcription Factor Genes -- 12.1 General Features of Transcription Factor Genes -- 12.1.1 Structure -- 12.1.2 Transcription Regulation -- 12.2 DNA-Binding Domain -- 12.2.1 Zinc Finger -- 12.2.2 Homeodomain -- 12.2.3 Helix-Loop-Helix Domain -- 12.3 Evolution of TF Gene Families -- 12.3.1 Hox Cluster Genes -- 12.3.2 Forkhead Box Genes -- 12.3.3 T-Box Genes -- 12.4 Recent Studies Related to TF Binding Sites -- 12.5 Recent Studies Related to TF Networks -- References -- Chapter 13: Genetics of Diabetes: Are They Thrifty Genotype? -- 13.1 Introduction -- 13.2 Fundamental Problem of Insulin Regulation -- 13.3 Genetics of Diabetes: Is It Still Geneticist´s Nightmare? -- 13.3.1 Genome-Wide Association Studies of T2D -- 13.3.2 Complexity of MODY and MODY-Related Genes -- 13.3.3 Transcriptional Regulatory Pathways Disrupted by T2D-Associated Variants -- 13.4 How Do T2D Susceptibilities Survive in Human History? -- 13.5 Reevaluation of ``Thrifty´´ Genotype Hypothesis -- References -- Chapter 14: Disease-Related Genes from Population Genetic Aspect and Their Functional Significance -- 14.1 Introduction -- 14.2 Atopic Dermatitis -- 14.3 Atopic Dermatitis and Filaggrin Gene -- 14.4 Filaggrin Mutations. , 14.5 Natural Vaccination Hypothesis.
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  • 3
    ISSN: 1546-1718
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Medicine
    Notes: [Auszug] The mammalian Y chromosome has unique characteristics compared with the autosomes or X chromosomes. Here we report the finished sequence of the chimpanzee Y chromosome (PTRY), including 271 kb of the Y-specific pseudoautosomal region 1 and 12.7 Mb of the male-specific region of the Y chromosome. ...
    Type of Medium: Electronic Resource
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  • 4
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  • 5
    ISSN: 1432-1432
    Keywords: Key words: POU — Human Brain-1 — GC pressure — Amino acid repeats
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract. The class III POU transcription factor genes play an important role in the nervous system. Comparison of their entire amino acid sequences disclosed a remarkable feature of particular mammalian class III POU genes. Alanine, glycine, and proline repeats were present in the mammalian Brain-1 gene, whereas most of these repeats were absent in the nonmammalian homologue. The mammalian Brain-2 gene had alanine, glycine, proline, and glutamine repeats, which were missing in the nonmammalian homologue. The mammalian Scip gene had alanine, glycine, proline, and histidine repeats, but the nonmammalian homologue completely lacked these repeats. In contrast, the mammalian Brain-4 gene had no amino acid repeats like its nonmammalian homologue. The mammalian genes containing the characteristic amino acid repeats had another feature, higher GC content. We found a positive correlation between the GC content and the amino acid repeat ratio. Those amino acids were encoded by triplet codons with relatively high GC content. These results suggest that the GC pressure has facilitated generation of the homopolymeric amino acid repeats.
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  • 6
    Electronic Resource
    Electronic Resource
    Springer
    Journal of molecular evolution 49 (1999), S. 615-626 
    ISSN: 1432-1432
    Keywords: Key words: Rh blood group — gene conversion — positive selection
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract. There are two tightly linked loci (D and CE) for the human Rh blood group. Their gene products are membrane proteins having 12 transmembrane domains and form a complex with Rh50 glycoprotein on erythrocytes. We constructed phylogenetic networks of human and nonhuman primate Rh genes, and the network patterns suggested the occurrences of gene conversions. We therefore used a modified site-by-site reconstruction method by using two assumed gene trees and detected 9 or 11 converted regions. After eliminating the effect of gene conversions, we estimated numbers of nonsynonymous and synonymous substitutions for each branch of both trees. Whichever gene tree we selected the branch connecting hominoids and Old World monkeys showed significantly higher nonsynonymous than synonymous substitutions, an indication of positive selection. Many other branches also showed higher nonsynonymous than synonymous substitutions; this suggests that the Rh genes have experienced some kind of positive selection.
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Journal of molecular evolution 27 (1988), S. 261-273 
    ISSN: 1432-1432
    Keywords: Molecular phylogeny ; Maximum likelihood method ; Tree-making methods ; DNA sequence data
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The maximum likelihood (ML) method for constructing phylogenetic trees (both rooted and unrooted trees) from DNA sequence data was studied. Although there is some theoretical problem in the comparison of ML values conditional for each topology, it is possible to make a heuristic argument to justify the method. Based on this argument, a new algorithm for estimating the ML tree is presented. It is shown that under the assumption of a constant rate of evolution, the ML method and UPGMA always give the same rooted tree for the case of three operational taxonomic units (OTUs). This also seems to hold approximately for the case with four OTUs. When we consider unrooted trees with the assumption of a varying rate of nucleotide substitution, the efficiency of the ML method in obtaining the correct tree is similar to those of the maximum parsimony method and distance methods. The ML method was applied to Brown et al.'s data, and the tree topology obtained was the same as that found by the maximum parsimony method, but it was different from those obtained by distance methods.
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  • 8
    ISSN: 1432-1432
    Keywords: POU ; Human Brain-1 ; GC pressure ; Amino acid repeats
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract The class III POU transcription factor genes play an important role in the nervous system. Comparison of their entire amino acid sequences disclosed a remarkable feature of particular mammalian class III POU genes. Alanine, glycine, and proline repeats were present in the mammalian Brain-1 gene, whereas most of these repeats were absent in the nonmammalian homologue. The mammalian Brain-2 gene had alanine, glycine, proline, and glutamine repeats, which were missing in the nonmammalian homologue. The mammalian Scip gene had alanine, glycine, proline, and histidine repeats, but the nonmammalian homologue completely lacked these repeats. In contrast, the mammalian Brain-4 gene had no amino acid repeats like its nonmammalian homologue. The mammalian genes containing the characteristic amino acid repeats had another feature, higher GC content. We found a positive correlation between the GC content and the amino acid repeat ratio. Those amino acids were encoded by triplet codons with relatively high GC content. These results suggest that the GC pressure has facilitated generation of the homopolymeric amino acid repeats.
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  • 9
    ISSN: 1432-1432
    Keywords: Key words:argK-tox gene cluster —hrp gene cluster —gyrB—rpoD— Molecular phylogeny —Pseudomonas syringae— Horizontal gene transfer
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract. Pseudomonas syringae are differentiated into approximately 50 pathovars with different plant pathogenicities and host specificities. To understand its pathogenicity differentiation and the evolutionary mechanisms of pathogenicity-related genes, phylogenetic analyses were conducted using 56 strains belonging to 19 pathovars. gyrB and rpoD were adopted as the index genes to determine the course of bacterial genome evolution, and hrpL and hrpS were selected as the representatives of the pathogenicity-related genes located on the genome (chromosome). Based on these data, NJ, MP, and ML phylogenetic trees were constructed, and thus 3 trees for each gene and 12 gene trees in total were obtained, all of which showed three distinct monophyletic groups: Groups 1, 2 and 3. The observation that the same set of OTUs constitute each group in all four genes suggests that these genes had not experienced any intergroup horizontal gene transfer within P. syringae but have been stable on and evolved along with the P. syringae genome. These four index genes were then compared with another pathogenicity-related gene, argK (the phaseolotoxin-resistant ornithine carbamoyltransferase gene, which exists within the argK–tox gene cluster). All 13 strains of pv. phaseolicola and pv. actinidiae used had been confirmed to produce phaseolotoxin and to have argK, whose sequences were completely identical, without a single synonymous substitution among the strains used (Sawada et al. 1997a). On the other hand, argK were not present on the genomes of the other 43 strains used other than pv. actinidiae and pv. phaseolicola. Thus, the productivity of phaseolotoxin and the possession of the argK gene were shown at only two points on the phylogenetic tree: Group 1 (pv. actinidiae) and Group 3 (pv. phaseolicola). A t test between these two pathovars for the synonymous distances of argK and the tandemly combined sequence of the four index genes showed a high significance, suggesting that the argK gene (or argK–tox gene cluster) experienced horizontal gene transfer and expanded its distribution over two pathovars after the pathovars had separated, thus showing a base substitution pattern extremely different from that of the noncluster region of the genome.
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Journal of molecular evolution 32 (1991), S. 443-445 
    ISSN: 1432-1432
    Keywords: Efficiency ; Maximum likelihood method ; Methods for inferring trees ; DNA sequence data
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Summary The efficiency of obtaining the correct tree by the maximum likelihood method (Felsenstein 1981) for inferring trees from DNA sequence data was compared with trees obtained by distance methods. It was shown that the maximum likelihood method is superior to distance methods in the efficiency particularly when the evolutionary rate differs among lineages.
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