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Gene expression networks in the Drosophila Genetic Reference Panel

A major challenge in modern biology is to understand how naturally occurring variation in DNA sequences affects complex organismal traits through networks of intermediate molecular phenotypes. This question is best addressed in a genetic mapping population in which all molecular polymorphisms are kn...

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Autores principales: Everett, Logan J., Huang, Wen, Zhou, Shanshan, Carbone, Mary Anna, Lyman, Richard F., Arya, Gunjan H., Geisz, Matthew S., Ma, Junwu, Morgante, Fabio, St. Armour, Genevieve, Turlapati, Lavanya, Anholt, Robert R.H., Mackay, Trudy F.C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111517/
https://www.ncbi.nlm.nih.gov/pubmed/32144088
http://dx.doi.org/10.1101/gr.257592.119
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author Everett, Logan J.
Huang, Wen
Zhou, Shanshan
Carbone, Mary Anna
Lyman, Richard F.
Arya, Gunjan H.
Geisz, Matthew S.
Ma, Junwu
Morgante, Fabio
St. Armour, Genevieve
Turlapati, Lavanya
Anholt, Robert R.H.
Mackay, Trudy F.C.
author_facet Everett, Logan J.
Huang, Wen
Zhou, Shanshan
Carbone, Mary Anna
Lyman, Richard F.
Arya, Gunjan H.
Geisz, Matthew S.
Ma, Junwu
Morgante, Fabio
St. Armour, Genevieve
Turlapati, Lavanya
Anholt, Robert R.H.
Mackay, Trudy F.C.
author_sort Everett, Logan J.
collection PubMed
description A major challenge in modern biology is to understand how naturally occurring variation in DNA sequences affects complex organismal traits through networks of intermediate molecular phenotypes. This question is best addressed in a genetic mapping population in which all molecular polymorphisms are known and for which molecular endophenotypes and complex traits are assessed on the same genotypes. Here, we performed deep RNA sequencing of 200 Drosophila Genetic Reference Panel inbred lines with complete genome sequences and for which phenotypes of many quantitative traits have been evaluated. We mapped expression quantitative trait loci for annotated genes, novel transcribed regions, transposable elements, and microbial species. We identified host variants that affect expression of transposable elements, independent of their copy number, as well as microbiome composition. We constructed sex-specific expression quantitative trait locus regulatory networks. These networks are enriched for novel transcribed regions and target genes in heterochromatin and euchromatic regions of reduced recombination, as well as genes regulating transposable element expression. This study provides new insights regarding the role of natural genetic variation in regulating gene expression and generates testable hypotheses for future functional analyses.
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spelling pubmed-71115172020-04-03 Gene expression networks in the Drosophila Genetic Reference Panel Everett, Logan J. Huang, Wen Zhou, Shanshan Carbone, Mary Anna Lyman, Richard F. Arya, Gunjan H. Geisz, Matthew S. Ma, Junwu Morgante, Fabio St. Armour, Genevieve Turlapati, Lavanya Anholt, Robert R.H. Mackay, Trudy F.C. Genome Res Resource A major challenge in modern biology is to understand how naturally occurring variation in DNA sequences affects complex organismal traits through networks of intermediate molecular phenotypes. This question is best addressed in a genetic mapping population in which all molecular polymorphisms are known and for which molecular endophenotypes and complex traits are assessed on the same genotypes. Here, we performed deep RNA sequencing of 200 Drosophila Genetic Reference Panel inbred lines with complete genome sequences and for which phenotypes of many quantitative traits have been evaluated. We mapped expression quantitative trait loci for annotated genes, novel transcribed regions, transposable elements, and microbial species. We identified host variants that affect expression of transposable elements, independent of their copy number, as well as microbiome composition. We constructed sex-specific expression quantitative trait locus regulatory networks. These networks are enriched for novel transcribed regions and target genes in heterochromatin and euchromatic regions of reduced recombination, as well as genes regulating transposable element expression. This study provides new insights regarding the role of natural genetic variation in regulating gene expression and generates testable hypotheses for future functional analyses. Cold Spring Harbor Laboratory Press 2020-03 /pmc/articles/PMC7111517/ /pubmed/32144088 http://dx.doi.org/10.1101/gr.257592.119 Text en © 2020 Everett et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Resource
Everett, Logan J.
Huang, Wen
Zhou, Shanshan
Carbone, Mary Anna
Lyman, Richard F.
Arya, Gunjan H.
Geisz, Matthew S.
Ma, Junwu
Morgante, Fabio
St. Armour, Genevieve
Turlapati, Lavanya
Anholt, Robert R.H.
Mackay, Trudy F.C.
Gene expression networks in the Drosophila Genetic Reference Panel
title Gene expression networks in the Drosophila Genetic Reference Panel
title_full Gene expression networks in the Drosophila Genetic Reference Panel
title_fullStr Gene expression networks in the Drosophila Genetic Reference Panel
title_full_unstemmed Gene expression networks in the Drosophila Genetic Reference Panel
title_short Gene expression networks in the Drosophila Genetic Reference Panel
title_sort gene expression networks in the drosophila genetic reference panel
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7111517/
https://www.ncbi.nlm.nih.gov/pubmed/32144088
http://dx.doi.org/10.1101/gr.257592.119
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