Taxon

Summary

In biology, a taxon (back-formation from taxonomy; : taxa) is a group of one or more populations of an organism or organisms seen by taxonomists to form a unit. Although neither is required, a taxon is usually known by a particular name and given a particular ranking, especially if and when it is accepted or becomes established. It is very common, however, for taxonomists to remain at odds over what belongs to a taxon and the criteria used for inclusion. If a taxon is given a formal scientific name, its use is then governed by one of the nomenclature codes specifying which scientific name is correct for a particular grouping. Initial attempts at classifying and ordering organisms (plants and animals) were set forth in Carl Linnaeus's system in Systema Naturae, 10th edition (1758), as well as an unpublished work by Bernard and Antoine Laurent de Jussieu. The idea of a unit-based system of biological classification was first made widely available in 1805 in the introduction of Jean-B

Official source

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

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 publications (28)

Related publications

Related people (5)

Related people

Related units (2)

Related units

Related concepts (50)

Related concepts

Related courses (2)

Related courses

Related lectures (2)

Related lectures

Comparative 16S rDNA and 16S rRNA sequence analysis indicates that Actinobacteria might be a dominant part of the metabolically active bacteria in heavy metal-contaminated bulk and rhizosphere soil

Fabienne Gremion

Bacterial diversity in 16S ribosomal DNA and reverse-transcribed 16S rRNA clone libraries originating from the heavy metal-contaminated rhizosphere of the metal-hyperaccumulating plant Thlaspi caerulescens was analysed and compared with that of contaminated bulk soil. Partial sequence analysis of 282 clones revealed that most of the environmental sequences in both soils affiliated with five major phylogenetic groups, the Actinobacteria, alpha-Proteobacteria, beta-Proteobacteria, Acidobacteria and the Planctomycetales. Only 14.7% of all phylotypes (sequences with similarities >97%), but 45% of all clones, were common in the rhizosphere and the bulk soil clone libraries. The combined use of rDNA and rRNA libraries indicated which taxa might be metabolically active in this soil. All dominant taxa, with the exception of the Actinobacteria, were relatively less represented in the rRNA libraries compared with the rDNA libraries. Clones belonging to the Verrucomicrobiales, Firmicutes, Cytophaga-Flavobacterium-Bacteroides and OP10 were found only in rDNA clone libraries, indicating that they might not represent active constituents in our samples. The most remarkable result was that sequences belonging to the Actinobacteria dominated both bulk and rhizosphere soil libraries derived from rRNA (50% and 60% of all phylotypes respectively). Seventy per cent of these clone sequences were related to the Rubrobacteria. subgroups 2 and 3, thus providing for the first time evidence that this group of bacteria is probably metabolically active in heavy metal-contaminated soil.

Wiley-Blackwell2003

Exposing planktonic source communities from stream and floodplain ecosystems to differing hydraulic environments revealed strong selective hydraulic pressures but only minor founder effects on the differentiation of attached biofilms and suspended aggregates and their biodiversity dynamics. Key taxa with a coherent phylogenetic underpinning drove this differentiation. Few resident and phylogenetically related taxa formed the backbone of biofilm communities, whereas numerous taxa with lower temporal turnover characterized aggregate communities. Fundamental ecological differences between biofilms and aggregates exist and local hydraulics drives the distribution of microbial diversity along the fluvial continuum

2016

Pollen productivity estimates and relevant source area of pollen for selected plant taxa in a pasture woodland landscape of the Jura Mountains (Switzerland)

Alexandre Buttler, Pascal Vittoz

Relevant source area of pollen (RSAP) and pollen productivity for 11 key taxa characteristic of the pasture woodland landscape of the Jura Mountains, Switzerland, were estimated using pollen assemblages from moss polsters at 20 sites. To obtain robust pollen productivity estimates (PPEs), we used vegetation survey data at a fine spatial-resolution (1 x 1 m(2)) and randomized locations for sampling sites, techniques rarely used in palynology. Three Extended R value (ERV) submodels and three distance-weighting methods for plant abundance calculation were applied. Different combinations of the submodels and distance-weighting methods provide slightly different estimates of RSAP and PPEs. Although ERV submodel 1 using 1/d (d = distance in meters) best fits the dataset, PPE values for heavy pollen types (e.g. Abies) were sensitive to the method used for distance-weighting. Taxon-specific distance-weighting methods, such as Prentice's model, emphasize the intertaxonomic differences in pollen dispersal and deposition, and are thus theoretically sound. For the dataset obtained in this project, Prentice's model was more appropriate than other distance-weighting methods to estimate PPEs. Most of the taxa have PPEs equal to (Fagus, Plantago media and Potentilla-type), or higher (Abies, Picea, Rubiaceae and Trollius europaeus) than Poaceae (PPE = 1). Acer, Cyperaceae, and Plantago montana-type are low pollen producers. This set of PPEs will be useful for reconstructing heterogeneous, mountainous pasture woodland landscapes from fossil pollen records. The RSAP for moss polsters in this semi-open landscape region is ca. 300 m.

Springer Verlag2008