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Gene-level quantitative trait mapping in Caenorhabditis elegans

The Caenorhabditis elegans multiparental experimental evolution (CeMEE) panel is a collection of genome-sequenced, cryopreserved recombinant inbred lines useful for mapping the evolution and genetic basis of quantitative traits. We have expanded the resource with new lines and new populations, and h...

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Detalles Bibliográficos
Autores principales: Noble, Luke M, Rockman, Matthew V, Teotónio, Henrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022935/
https://www.ncbi.nlm.nih.gov/pubmed/33693602
http://dx.doi.org/10.1093/g3journal/jkaa061
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author Noble, Luke M
Rockman, Matthew V
Teotónio, Henrique
author_facet Noble, Luke M
Rockman, Matthew V
Teotónio, Henrique
author_sort Noble, Luke M
collection PubMed
description The Caenorhabditis elegans multiparental experimental evolution (CeMEE) panel is a collection of genome-sequenced, cryopreserved recombinant inbred lines useful for mapping the evolution and genetic basis of quantitative traits. We have expanded the resource with new lines and new populations, and here report the genotype and haplotype composition of CeMEE version 2, including a large set of putative de novo mutations, and updated additive and epistatic mapping simulations. Additive quantitative trait loci explaining 4% of trait variance are detected with >80% power, and the median detection interval approaches single-gene resolution on the highly recombinant chromosome arms. Although CeMEE populations are derived from a long-term evolution experiment, genetic structure is dominated by variation present in the ancestral population.
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spelling pubmed-80229352021-04-09 Gene-level quantitative trait mapping in Caenorhabditis elegans Noble, Luke M Rockman, Matthew V Teotónio, Henrique G3 (Bethesda) Investigation The Caenorhabditis elegans multiparental experimental evolution (CeMEE) panel is a collection of genome-sequenced, cryopreserved recombinant inbred lines useful for mapping the evolution and genetic basis of quantitative traits. We have expanded the resource with new lines and new populations, and here report the genotype and haplotype composition of CeMEE version 2, including a large set of putative de novo mutations, and updated additive and epistatic mapping simulations. Additive quantitative trait loci explaining 4% of trait variance are detected with >80% power, and the median detection interval approaches single-gene resolution on the highly recombinant chromosome arms. Although CeMEE populations are derived from a long-term evolution experiment, genetic structure is dominated by variation present in the ancestral population. Oxford University Press 2021-01-23 /pmc/articles/PMC8022935/ /pubmed/33693602 http://dx.doi.org/10.1093/g3journal/jkaa061 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigation
Noble, Luke M
Rockman, Matthew V
Teotónio, Henrique
Gene-level quantitative trait mapping in Caenorhabditis elegans
title Gene-level quantitative trait mapping in Caenorhabditis elegans
title_full Gene-level quantitative trait mapping in Caenorhabditis elegans
title_fullStr Gene-level quantitative trait mapping in Caenorhabditis elegans
title_full_unstemmed Gene-level quantitative trait mapping in Caenorhabditis elegans
title_short Gene-level quantitative trait mapping in Caenorhabditis elegans
title_sort gene-level quantitative trait mapping in caenorhabditis elegans
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8022935/
https://www.ncbi.nlm.nih.gov/pubmed/33693602
http://dx.doi.org/10.1093/g3journal/jkaa061
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