Concept

Phylogenetic nomenclature

Phylogenetic nomenclature is a method of nomenclature for taxa in biology that uses phylogenetic definitions for taxon names as explained below. This contrasts with the traditional approach, in which taxon names are defined by a type, which can be a specimen or a taxon of lower rank, and a description in words. Phylogenetic nomenclature is currently regulated by the International Code of Phylogenetic Nomenclature (PhyloCode). Phylogenetic nomenclature ties names to clades, groups consisting of an ancestor and all its descendants. These groups can equivalently be called monophyletic. There are slightly different ways of specifying the ancestor, which are discussed below. Once the ancestor is specified, the meaning of the name is fixed: the ancestor and all organisms which are its descendants are included in the named taxon. Listing all these organisms (i.e. providing a full circumscription) requires the full phylogenetic tree to be known. In practice, there are only one or more hypotheses as to the correct tree. Different hypotheses lead to different organisms being thought to be included in the named taxon, but do not affect what organisms the name actually applies to. In this sense the name is independent of theory revision. Phylogenetic nomenclature ties names to clades, groups consisting solely of an ancestor and all its descendants. All that is needed to specify a clade, therefore, is to designate the ancestor. There are a number of ways of doing this. Commonly, the ancestor is indicated by its relation to two or more specifiers (species, specimens, or traits) that are mentioned explicitly. The diagram shows three common ways of doing this. For previously defined clades A, B, and C, the clade X can be defined as: A node-based definition could read: "the last common ancestor of A and B, and all descendants of that ancestor". Thus, the entire line below the junction of A and B does not belong to the clade to which the name with this definition refers. A crown group is a type of node-based group where A and B are extant (living) taxa.

Official source

https://en.wikipedia.org/wiki/Phylogenetic_nomenclature

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related courses (3)

BIO-109: Introduction to life sciences (for IC)

Ce cours présente les principes fondamentaux à l'œuvre dans les organismes vivants. Autant que possible, l'accent est mis sur les contributions de l'Informatique aux progrès des Sciences de la Vie.

BIO-463: Genomics and bioinformatics

This course covers various data analysis approaches associated with applications of DNA sequencing technologies, from genome sequencing to quantifying gene evolution, gene expression, transcription fa

BIOENG-519: Methods: omics in biomedical research

High-throughput methodologies broadly called Omics allow to characterize the complexity and dynamics of any biological system. This course will provide a general description of different methods relat

Related people (1)

Bernard Moret

Bernard M.E. Moret was born in Vevey, Switzerland, received baccalauréats in Latin-Greek and Latin-Mathematics, then did a Diploma in Electrical Engineering at EPFL. After working for 2 years for Omega and Swiss Timing on the development of real-time OS for sports applications, he left for the US. He received his PhD in Electrical Engineering from the U. of Tennessee in 1980 and joined the Department of Computer Science at the University of New Mexico (UNM) that fall. He served as Chairman of the department from 1991 till 1993 and eventually retired in summer 2006 to join the School of Computer and Communication Sciences at EPFL. (You can read about his work at UNM on his (archived) personal and laboratory web pages at UNM.) He was appointed group leader for phylogenetics at the Swiss Institute for Bioinformatics (SIB). From 2009 until his retirement, he was also in charge of the BS and MS programs in Computer Science and Associate Dean for Education. He founded the ACM Journal of Experimental Algorithmics (JEA) and served as its Editor-in-Chief for 7 years; he also helped found the IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), where he served as Associate Editor until 2008. He founded the annual Workshop on Algorithms in Bioinformatics (WABI) and chairs its steering committee, and he serves on the steering committee of the Workshop on Algorithm Engineering and Experiments (ALENEX). Until summer 2008, he chaired the Biodata Management and Analysis (BDMA) study section of the US National Institutes of Health (NIH); now he is a charter member of the NIH College of Reviewers. He led a team of over 50 biologists, computer scientists, and mathematicians in the CIPRES (Cyber Infrastructure for Phylogenetic Research) project, funded by the US National Science Foundation (NSF) for US$ 12 million over 5 years. He has published nearly 150 papers in computational biology, under funding from the US NSF, the Alfred P. Sloan foundation, the IBM Corporation, the US NIH, the Swiss NSF, and SystemsX.ch. He is a Fellow of the ISCB (International Society for Computational Biology). His Erdös number is 2 and (as of 2020) his h-index is 48.

Related concepts (20)

Crown group

In phylogenetics, the crown group or crown assemblage is a collection of species composed of the living representatives of the collection, the most recent common ancestor of the collection, and all descendants of the most recent common ancestor. It is thus a way of defining a clade, a group consisting of a species and all its extant or extinct descendants. For example, Neornithes (birds) can be defined as a crown group, which includes the most recent common ancestor of all modern birds, and all of its extant or extinct descendants.

Taxonomic rank

In biology, taxonomic rank is the relative level of a group of organisms (a taxon) in an ancestral or hereditary hierarchy. A common system of biological classification (taxonomy) consists of species, genus, family, order, class, phylum, kingdom, and domain. While older approaches to taxonomic classification were phenomenological, forming groups on the basis of similarities in appearance, organic structure and behaviour, methods based on genetic analysis have opened the road to cladistics.

PhyloCode

The International Code of Phylogenetic Nomenclature, known as the PhyloCode for short, is a formal set of rules governing phylogenetic nomenclature. Its current version is specifically designed to regulate the naming of clades, leaving the governance of species names up to the rank-based nomenclature codes (ICN, ICNCP, ICNP, ICZN, ICVCN). The PhyloCode is associated with the International Society for Phylogenetic Nomenclature (ISPN). The companion volume, Phylonyms, establishes 300 taxon names under PhyloCode, serving as examples for those unfamiliar with the code.

Official source

https://en.wikipedia.org/wiki/Phylogenetic_nomenclature

About this result

Ontological neighbourhood

Biology

Zoology: Topics in zoology

Related courses (3)

BIO-109: Introduction to life sciences (for IC)

BIO-463: Genomics and bioinformatics

BIOENG-519: Methods: omics in biomedical research

Related lectures (9)

Exploring Evolution: Molecular Evidence and Mechanisms

Explores molecular evidence and mechanisms of evolution, including phylogenetic trees and protein comparisons.

Protein Structure Prediction: AlphaFold Evolution and OpenFold Insights

Explores the evolution of protein structure prediction with AlphaFold models and introduces OpenFold insights.

Phylogenetic Tree Construction

Covers the stages of building a phylogenetic tree using DNA sequences and the UPGMA method.

Related publications (27)

The microbial genomics of glacier-fed streams: adaptations to an extreme ecosystem

Massimo Bourquin

Glacier-fed streams are the cold, ultra-oligotrophic, and unstable streams that are fed by glacial meltwater. Despite these extreme conditions, they harbour a diverse and abundant microbial diversity that develops into biofilms, covering the boulders and s ...

EPFL2024

Bacterial diversity dominates variable macrophage responses of tuberculosis patients in Tanzania

Jacques Fellay, Zhi Ming Xu

The Mycobacterium tuberculosis complex (MTBC) comprises nine human-adapted lineages that differ in their geographical distribution. Local adaptation of specific MTBC genotypes to the respective human host population has been invoked in this context. We aim ...

Nature Portfolio2024

A benchmark dataset for machine learning in ecotoxicology

Kristin Schirmer, Marco Baity-Jesi, Fernando Perez Cruz

The use of machine learning for predicting ecotoxicological outcomes is promising, but underutilized. The curation of data with informative features requires both expertise in machine learning as well as a strong biological and ecotoxicological background, ...

Nature Portfolio2023