Information about Phylogenetics
In biology, phylogenetics (Greek: phyle = tribe, race and genetikos = relative to birth, from genesis = birth) is the study of evolutionary relatedness among various groups of organisms (e.g., species, populations). Also known as phylogenetic systematics, phylogenetics treats a species as a group of lineage-connected individuals over time. Taxonomy, the classification of organisms according to similarity, has been richly informed by phylogenetics but remains methodologically and logically distinct.[1]
Evolution is regarded as a branching process, whereby populations are altered over time and may speciate into separate branches, hybridize together again, or terminate by extinction. This may be visualized as a multidimensional character-space that a population moves through over time. The problem posed by phylogenetics is that genetic data is only available for the present, and fossil records (osteometric data) are sporadic and less reliable. Our knowledge of how evolution operates is used to reconstruct the full tree.[2]
Cladistics provides a simplified method of understanding phylogenetic trees. There are some terms that describe the nature of a grouping. For instance, all birds and reptiles are believed to have descended from a single common ancestor, so this taxonomic grouping (yellow in the diagram) is called monophyletic. "Modern reptile" (cyan in the diagram) is a grouping that contains a common ancestor, but does not contain all descendents of that ancestor (birds are excluded). This is an example of a paraphyletic group. A grouping such as warm-blooded animals would include only mammals and birds (red/orange in the diagram) and is called polyphyletic because the members of this grouping do not include the most recent common ancestor. Although warm-blooded animals are all descended from a cold-blooded ancestor, warm-bloodedness evolved independently in both mammals and birds.
The most commonly used methods to infer phylogenies include parsimony, maximum likelihood, and MCMC-based Bayesian inference. Distance-based methods construct trees based on overall similarity which is often assumed to approximate phylogenetic relationships. All methods depend upon an implicit or explicit mathematical model describing the evolution of characters observed in the species included, and are usually used for molecular phylogeny where the characters are aligned nucleotide or amino acid sequences.
Ernst Haeckel's recapitulation theory
During the late 19th century, Ernst Haeckel's recapitulation theory, or biogenetic law, was widely accepted. This theory was often expressed as "ontogeny recapitulates phylogeny", i.e. the development of an organism exactly mirrors the evolutionary development of the species. Haeckel's early version of this hypothesis (that the embryo mirrors adult evolutionary ancestors) has since been rejected, and the hypothesis amended as the embryo's development mirroring embryos of its evolutionary ancestors. Most modern biologists recognize numerous connections between ontogeny and phylogeny, explain them using evolutionary theory, or view them as supporting evidence for that theory. Williamson believes that larvae and embryos represent adults in other taxa that have been transferred by hybridization (the larval transfer theory)[3] [4]Gene transfer
Organisms can generally inherit genes in two ways: from parent to offspring (vertical gene transfer), or by horizontal or lateral gene transfer, in which genes jump between unrelated organisms, a common phenomenon in prokaryotes.Lateral gene transfer has complicated the determination of phylogenies of organisms since inconsistencies have been reported depending on the gene chosen.
Carl Woese came up with the three-domain theory of life (eubacteria, archaea and eukaryotes) based on his discovery that the genes encoding ribosomal RNA are ancient and distributed over all lineages of life with little or no lateral gene transfer. Therefore rRNA are commonly recommended as molecular clocks for reconstructing phylogenies.
This has been particularly useful for the phylogeny of microorganisms, to which the species concept does not apply and which are too morphologically simple to be classified based on phenotypic traits.
Taxon sampling and phylogenetic signal
Owing to the development of advanced sequencing techniques in molecular biology, it has become feasible to gather large amounts of data (DNA or amino acid sequences) to estimate phylogenies. For example, it is not rare to find studies with character matrices based on whole mitochondrial genomes. However, it has been proposed that it is more important to increase the number of taxa in the matrix than to increase the number of characters, because the more taxa, the more robust is the resulting phylogeny. This is partly due to the breaking up of long branches. It has been argued that this is an important reason to incorporate data from fossils into phylogenies where possible. Using simulations, Derrick Zwickl and Hillis[5] found that increasing taxon sampling in phylogenetic inference has a positive effect on the accuracy of phylogenetic analyses.Another important factor that affects the accuracy of tree reconstruction is whether the data analyzed actually contain useful phylogenetic signal, a term that is used generally to denote whether related organisms tend to resemble each other with respect to their genetic material or phenotypic traits.[6]
See also
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References
1. ^ A.W.F. Edwards & L.L. Cavalli-Sforza (1964). in Systematics Assoc. Publ. No. 6: Phenetic and Phylogenetic Classification: Reconstruction of evolutionary trees, 67-76.
2. ^ L.L. Cavalli-Sforza and A.W.F. Edwards (Sep., 1967). "Phylogenetic analysis: Models and estimation procedures". Evol. 21 (3): 550-570.
3. ^ Williamson, D. I. (2003) The Origins of Larvae. Kluwer. Dordrecht. xviii + 261 pp.
4. ^ Williamson, D. I. (2006) Hybridization in the evolution of animal form and life-cycle. Zoological Journal of the Linnean Society 148: 585-602.
5. ^ Zwickl DJ, Hillis DM (2002). "Increased taxon sampling greatly reduces phylogenetic error". Systematic Biology 51: 588-598.
6. ^ Blomberg SP, Garland T Jr, Ives AR (2003). "Testing for phylogenetic signal in comparative data: behavioral traits are more labile". Evolution 57: 717-745.
2. ^ L.L. Cavalli-Sforza and A.W.F. Edwards (Sep., 1967). "Phylogenetic analysis: Models and estimation procedures". Evol. 21 (3): 550-570.
3. ^ Williamson, D. I. (2003) The Origins of Larvae. Kluwer. Dordrecht. xviii + 261 pp.
4. ^ Williamson, D. I. (2006) Hybridization in the evolution of animal form and life-cycle. Zoological Journal of the Linnean Society 148: 585-602.
5. ^ Zwickl DJ, Hillis DM (2002). "Increased taxon sampling greatly reduces phylogenetic error". Systematic Biology 51: 588-598.
6. ^ Blomberg SP, Garland T Jr, Ives AR (2003). "Testing for phylogenetic signal in comparative data: behavioral traits are more labile". Evolution 57: 717-745.
External links
- The Tree of Life
- Interactive Tree of Life
- PhyloCode
- UCMP Exhibit Halls: Phylogeny Wing
- Willi Hennig Society
- Filogenetica.org in Spanish
- PhyloPat, Phylogenetic Patterns
- Phylogenetic inferring on the T-REX server
- Mesquite
Basic topics in |
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Evidence of evolution
Processes of evolution: adaptation - macroevolution - microevolution - speciation
Population genetic mechanisms: natural selection - genetic drift - gene flow - mutation
Evolutionary developmental biology (Evo-devo) concepts: phenotypic plasticity - canalisation - modularity
Modes of evolution: anagenesis - catagenesis - cladogenesis
History: History of evolutionary thought - Charles Darwin - The Origin of Species - modern evolutionary synthesis - Evolutionary history of life
Other subfields: ecological genetics - human evolution - molecular evolution - phylogenetics - systematics
List of evolutionary biology topics - Timeline of evolution
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Topics in phylogenetics | |
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| Relevant fields | phylogenetics |
| Basic concepts | synapomorphy |
| Phylogeny inference methods | maximum parsimony |
| Current topics | PhyloCode |
| List of evolutionary biology topics | |
Biology (from Greek: βίος, bio, "life"; and λόγος, logos, "knowledge"), also referred to as the biological sciences, is the scientific study of life.
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Writing system: Greek alphabet
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Official language of: Greece
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Plantae Chromalveolata Heterokontophyta Haptophyta Cryptophyta Alveolata
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species is one of the basic units of biological classification. A species is often defined as a group of organisms capable of interbreeding and producing fertile offspring.
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For the science of classifying living things, see .
Taxonomy is the practice and science of classification. The word comes from the Greek τάξις, taxis, 'order' +
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Speciation is the evolutionary process by which new biological species arise. There are four modes of natural speciation, based on the extent to which speciating populations are geographically isolated from one another:
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hybrid has two meanings.[1]
The first meaning is the result of interbreeding between two animals or plants of different taxa. Hybrids between different species within the same genus are sometimes known as interspecific hybrids or crosses.
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The first meaning is the result of interbreeding between two animals or plants of different taxa. Hybrids between different species within the same genus are sometimes known as interspecific hybrids or crosses.
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extinction is the cessation of existence of a species or group of taxa, reducing biodiversity. The moment of extinction is generally considered to be the death of the last individual of that species (although the capacity to breed and recover may have been lost before this point).
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Scientific- (or data-), and Information visualization are branches of computer graphics and user interface design that are concerned with presenting data to users, by means of images. The goal of this area is usually to improve understanding of the data being presented.
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Multidimensional scaling (MDS) is a set of related statistical techniques often used in data visualisation for exploring similarities or dissimilarities in data. MDS is a special case of ordination.
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Genetics is the science of heredity and variation in living organisms.[1][2] Knowledge of the inheritance of characteristics has been implicitly used since prehistoric times for improving crop plants and animals through selective breeding.
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- For other uses of the term, see Fossil (disambiguation)
FOSSIL is a standard for allowing serial communication for telecommunications programs under the DOS operating system.
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Osteometry is the study and measurement of human or animal skeleton, especially in an anthropological or archaeological context. In Archaeology it have been used to various ends in the subdisciplines of Zooarcaheology and Bioarchaeology.
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Cladistics is a philosophy of classification that arranges organisms only by their order of branching in an evolutionary tree and not by their morphological similarity, in the words of Luria et al. (1981).
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In phylogenetics, a group is monophyletic (Greek: "of one race") if it consists of an inferred common ancestor and all its descendants. A taxonomic group that contains organisms but not their common ancestor is called polyphyletic, and a group that contains some but not all
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Cyan (from Greek κυανός, meaning "blue") may be used as the name of any of a number of a range of colors in the blue/green part of the spectrum.
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In phylogenetics, a group of organisms is said to be paraphyletic (Greek para = near and phyle = race) if the group contains its most recent common ancestor, but does not contain all the descendants of that ancestor.
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Warm-blooded animals maintain thermal homeostasis; that is, they keep their body temperature at a constant level. This involves the ability to cool down or produce more body heat. Warm-blooded animals mainly control their body temperature by regulating their metabolic rates (e.g.
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polyphyletic (Greek for "of many races") if the trait its members have in common evolved separately in different places in the phylogenetic tree. Equivalently, a polyphyletic taxon does not contain the most recent common ancestor of all its members.
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Computational phylogenetics is the application of computational algorithms, methods and programs to phylogenetic analyses. The goal is to assemble a phylogenetic tree representing a hypothesis about the evolutionary ancestry of a set of genes, species, or other taxa.
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Parsimony is a 'less is better' concept of frugality/economy/stinginess or caution in arriving at a hypothesis or course of action. The word derives from Middle English parcimony, from Latin parsimonia, from parsus, past participle of parcere:
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Maximum likelihood estimation (MLE) is a popular statistical method used to calculate the best way of fitting a mathematical model to some data. Modeling real world data by estimating maximum likelihood offers a way of tuning the free parameters of the model to provide an
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Markov chain Monte Carlo (MCMC) methods (which include random walk Monte Carlo methods), are a class of algorithms for sampling from probability distributions based on constructing a Markov chain that has the desired distribution as its equilibrium distribution.
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Bayesian inference is statistical inference in which evidence or observations are used to update or to newly infer the probability that a hypothesis may be true. The name "Bayesian" comes from the frequent use of Bayes' theorem in the inference process.
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phenetics, also known as numerical taxonomy, is an attempt to classify organisms based on overall similarity, usually in morphology or other observable traits, regardless of their phylogeny or evolutionary relation.
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mathematical model is an abstract model that uses mathematical language to describe the behaviour of a system. Mathematical models are used particularly in the natural sciences and engineering disciplines (such as physics, biology, and electrical engineering) but also in the social
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Molecular phylogeny is the use of the structure of molecules to gain information on an organism's evolutionary relationships. The result of a molecular phylogenetic analysis is expressed in a so-called phylogenetic tree.
Every living organism contains DNA, RNA, and proteins.
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Every living organism contains DNA, RNA, and proteins.
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A nucleotide is a chemical compound that consists of 3 portions: a heterocyclic base, a sugar, and one or more phosphate groups. In the most common nucleotides the base is a derivative of purine or pyrimidine, and the sugar is the pentose (five-carbon sugar) deoxyribose or ribose.
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amino acid is a molecule that contains both amine and carboxyl functional groups. In biochemistry, this term refers to alpha-amino acids with the general formula H2NCHRCOOH, where R is an organic substituent.
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