Cargando…
Rapid Identification of Major-Effect Genes Using the Collaborative Cross
The Collaborative Cross (CC) was designed to facilitate rapid gene mapping and consists of hundreds of recombinant inbred lines descended from eight diverse inbred founder strains. A decade in production, it can now be applied to mapping projects. Here, we provide a proof of principle for rapid iden...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4174955/ https://www.ncbi.nlm.nih.gov/pubmed/25236450 http://dx.doi.org/10.1534/genetics.114.163014 |
_version_ | 1782336428456280064 |
---|---|
author | Ram, Ramesh Mehta, Munish Balmer, Lois Gatti, Daniel M. Morahan, Grant |
author_facet | Ram, Ramesh Mehta, Munish Balmer, Lois Gatti, Daniel M. Morahan, Grant |
author_sort | Ram, Ramesh |
collection | PubMed |
description | The Collaborative Cross (CC) was designed to facilitate rapid gene mapping and consists of hundreds of recombinant inbred lines descended from eight diverse inbred founder strains. A decade in production, it can now be applied to mapping projects. Here, we provide a proof of principle for rapid identification of major-effect genes using the CC. To do so, we chose coat color traits since the location and identity of many relevant genes are known. We ascertained in 110 CC lines six different coat phenotypes: albino, agouti, black, cinnamon, and chocolate coat colors and the white-belly trait. We developed a pipeline employing modifications of existing mapping tools suitable for analyzing the complex genetic architecture of the CC. Together with analysis of the founders’ genome sequences, mapping was successfully achieved with sufficient resolution to identify the causative genes for five traits. Anticipating the application of the CC to complex traits, we also developed strategies to detect interacting genes, testing joint effects of three loci. Our results illustrate the power of the CC and provide confidence that this resource can be applied to complex traits for detection of both qualitative and quantitative trait loci. |
format | Online Article Text |
id | pubmed-4174955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-41749552014-10-02 Rapid Identification of Major-Effect Genes Using the Collaborative Cross Ram, Ramesh Mehta, Munish Balmer, Lois Gatti, Daniel M. Morahan, Grant Genetics Multiparental Populations The Collaborative Cross (CC) was designed to facilitate rapid gene mapping and consists of hundreds of recombinant inbred lines descended from eight diverse inbred founder strains. A decade in production, it can now be applied to mapping projects. Here, we provide a proof of principle for rapid identification of major-effect genes using the CC. To do so, we chose coat color traits since the location and identity of many relevant genes are known. We ascertained in 110 CC lines six different coat phenotypes: albino, agouti, black, cinnamon, and chocolate coat colors and the white-belly trait. We developed a pipeline employing modifications of existing mapping tools suitable for analyzing the complex genetic architecture of the CC. Together with analysis of the founders’ genome sequences, mapping was successfully achieved with sufficient resolution to identify the causative genes for five traits. Anticipating the application of the CC to complex traits, we also developed strategies to detect interacting genes, testing joint effects of three loci. Our results illustrate the power of the CC and provide confidence that this resource can be applied to complex traits for detection of both qualitative and quantitative trait loci. Genetics Society of America 2014-09 2014-09-01 /pmc/articles/PMC4174955/ /pubmed/25236450 http://dx.doi.org/10.1534/genetics.114.163014 Text en Copyright © 2014 by the Genetics Society of America Available freely online through the author-supported open access option. |
spellingShingle | Multiparental Populations Ram, Ramesh Mehta, Munish Balmer, Lois Gatti, Daniel M. Morahan, Grant Rapid Identification of Major-Effect Genes Using the Collaborative Cross |
title | Rapid Identification of Major-Effect Genes Using the Collaborative Cross |
title_full | Rapid Identification of Major-Effect Genes Using the Collaborative Cross |
title_fullStr | Rapid Identification of Major-Effect Genes Using the Collaborative Cross |
title_full_unstemmed | Rapid Identification of Major-Effect Genes Using the Collaborative Cross |
title_short | Rapid Identification of Major-Effect Genes Using the Collaborative Cross |
title_sort | rapid identification of major-effect genes using the collaborative cross |
topic | Multiparental Populations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4174955/ https://www.ncbi.nlm.nih.gov/pubmed/25236450 http://dx.doi.org/10.1534/genetics.114.163014 |
work_keys_str_mv | AT ramramesh rapididentificationofmajoreffectgenesusingthecollaborativecross AT mehtamunish rapididentificationofmajoreffectgenesusingthecollaborativecross AT balmerlois rapididentificationofmajoreffectgenesusingthecollaborativecross AT gattidanielm rapididentificationofmajoreffectgenesusingthecollaborativecross AT morahangrant rapididentificationofmajoreffectgenesusingthecollaborativecross |