Polygene

A polygene, multiple factor, multiple gene inheritance or quantitative gene is a group of non-epistatic genes that together influence a phenotypic trait. The precise loci or identities of the non-allelic genes are often unknown to biologists. Advances in statistical methodology and high throughput sequencing are, however, allowing researchers to locate candidate genes for the trait. These genes are generally pleiotropic as well. The genes that contribute to type 2 diabetes are thought to be mostly polygenes.[1] In July 2016, scientists reported identifying a set of 355 genes from the Last Universal Common Ancestor (LUCA) of all organisms living on Earth.[2]

Traits with polygenic determinism correspond to the classical quantitative characters, as opposed to the qualitative characters with monogenic or oligogenic determinism. In essence instead of two options, such as freckles or no freckles, there are many variations. Like the color of skin, hair, or even eyes.

Overview

Illustration of polygenic inheritance

Polygenic locus is any individual locus which is included in the system of genes responsible for the genetic component of variation in a quantitative (polygenic) character. Allelic substitutions contribute to the variance in a specifed quantitative character. Polygenic locus may be either a single or complex genetic locus in the conventional sense, i.e., either a single gene or closely linked block of functionally related genes.[3]

In modern sense, the inheritance mode of polygenic patterns is called polygenic inheritance, whose main properties may be summarized as follows:

  1. Most metric and meristic traits are controlled by a number of genetic loci.
  2. Main mode of nonallelic genes interaction in corresponding gene series is addition of mainly small particular allele contributions.
  3. The effects of allelic substitution at each of the segregating genes are usually relatively small and interchangeable which results that identical phenotype may be displayed by a great variety of genotypes.
  4. The phenotypic expression of the polygenic characters is undergoing considerable modification by environmental influence.
  5. Polygenic characters show a continuous rather than discontinuous distribution.
  6. Balanced systems of polygenic inheritance in a population contain a great deal of potential genetic variability in the heterozygous condition and released by small increments through genetic recombination between linked polygenes.[4][5][6][7]

Inheritance

Polygenic inheritance occurs when one characteristic is controlled by two or more genes. Often the genes are large in quantity but small in effect.[8] Examples of human polygenic inheritance are height, skin color, eye color and weight. Polygenes exist in other organisms, as well. Drosophila, for instance, display polygeny with traits such as wing morphology,[9] bristle count[10] and many others.

Trait distribution

The frequency of the phenotypes of these traits generally follows a normal continuous variation distribution pattern. This results from the many possible allelic combinations. When the values are plotted, a bell-shaped curve is obtained. The mode of the distribution represents the optimal, or fittest, phenotype. The more genes are involved, the smoother the estimated curve. However, in this model all genes must code for alleles with additive effects. This assumption is often unrealistic as many genes display epistasis effects which can have unpredictable effects on the distribution of outcomes, especially when looking at the distribution on a fine scale.[11]

Mapping polygenes

Example of a genome-wide scan for QTL of osteoporosis

Traditionally, mapping polygenes requires statistical tools available to help measure the effects of polygenes as well as narrow in on single genes. One of these tools is QTL-mapping. QTL-mapping utilizes a phenomenon known as linkage disequilibrium by comparing known marker genes with correlated phenotypes. Often, researchers will find a large region of DNA, called a locus, that accounts for a significant amount of the variation observed in the measured trait. This locus will usually contain a large number of genes that are responsible. A new form of QTL has been described as expression QTL (eQTL). eQTLs regulate the amount of expressed mRNA, which in turn regulates the amount of protein within the organism.[12]

Another interest of statistical geneticists using QTL mapping is to determine the complexity of the genetic architecture underlying a phenotypic trait. For example, they may be interested in knowing whether a phenotype is shaped by many independent loci, or by a few loci, and do those loci interact. This can provide information on how the phenotype may be evolving.

See also

References

  1. ↑ Emerging epidemic of type 2 diabetes in youth
  2. ↑ Wade, Nicholas (25 July 2016). "Meet Luca, the Ancestor of All Living Things". New York Times. Retrieved 25 July 2016.
  3. ↑ Lerner j. M. (1968). Heredity, evolution and society. San Francicso: Freeman and Comp.
  4. ↑ Rieger R. Michaelis A., Green M. M. (1976). Glossary of genetics and cytogenetics: Classical and molecular. Heidelberg - New York: Springer-Verlag. ISBN 0-387-07668-9.
  5. ↑ Dobzhansky T. (1970). Mankind envolving: The evolution of the human species. New York: Bantam Books. ISBN 978-05526-5390-9.
  6. ↑ Hadžiselimović R. (2005). Bioantropologija – Biodiverzitet recentnog čovjeka/Bioanthropology – biodiversity of recent man. Sarajevo: Institut za genetičko inženjerstvo i biotehnologiju (INGEB)/Institute for genetic engineering and biotechnology. ISBN 9958-9344-2-6.
  7. ↑ Dobzhansky T. (1970). Genetics of the evolutionary process. New York: Columbia. ISBN 0-231-02837-7.
  8. ↑ Falconer, D. S. & Mackay TFC (1996). Introduction to Genetics. Fourth edition. Addison Wesley Longman, Harlow, Essex, UK.
  9. ↑ Quantitative Trait Loci Affecting Components of Wing Shape in Drosophila melanogaster
  10. ↑ http://service004.hpc.ncsu.edu/mackay/Good_Mackay_site/PUB_files/Mackay%202005%20Trends%20Genet.pdf
  11. ↑ Ricki Lewis (2003), Multifactorial Traits, McGraw-Hill Higher Education
  12. ↑ Consoli L, Lefèvre A, Zivy M, de Vienne D, Damerval C (Apr 2002). "QTL analysis of proteome and transcriptome variations for dissecting the genetic architecture of complex traits in maize.". Plant Mol Biol. 48 (5-6): 575–581. doi:10.1023/A:1014840810203. PMID 11999835.
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