liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
The Genetic Architecture of Domestication in Animals
Linköping University, Department of Physics, Chemistry and Biology, Biology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-2329-2635
2015 (English)In: Bioinformatics and Biology Insights, ISSN 1177-9322, E-ISSN 1177-9322, Vol. 9, no S4, 11-20 p.Article in journal (Refereed) Published
Abstract [en]

Domestication has been essential to the progress of human civilization, and the process itself has fascinated biologists for hundreds of years. Domestication has led to a series of remarkable changes in a variety of plants and animals, in what is termed the "domestication phenotype." In domesticated animals, this general phenotype typically consists of similar changes in tameness, behavior, size/morphology, color, brain composition, and adrenal gland size. This domestication phenotype is seen in a range of different animals. However, the genetic basis of these associated changes is still puzzling. The genes for these different traits tend to be grouped together in clusters in the genome, though it is still not clear whether these clusters represent pleiotropic effects, or are in fact linked clusters. This review focuses on what is currently known about the genetic architecture of domesticated animal species, if genes of large effect (often referred to as major genes) are prevalent in driving the domestication phenotype, and whether pleiotropy can explain the loci underpinning these diverse traits being colocated.

Place, publisher, year, edition, pages
2015. Vol. 9, no S4, 11-20 p.
Keyword [en]
domestication, genetic architecture, pleiotropy
National Category
Bioinformatics and Systems Biology
URN: urn:nbn:se:liu:diva-121875DOI: 10.4137/BBI.S28902OAI: diva2:860366
Available from: 2015-10-12 Created: 2015-10-12 Last updated: 2015-11-04

Open Access in DiVA

fulltext(526 kB)85 downloads
File information
File name FULLTEXT01.pdfFile size 526 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Wright, Dominic
By organisation
BiologyFaculty of Science & Engineering
In the same journal
Bioinformatics and Biology Insights
Bioinformatics and Systems Biology

Search outside of DiVA

GoogleGoogle Scholar
Total: 85 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 106 hits
ReferencesLink to record
Permanent link

Direct link