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Challenges and Approaches to Genotyping Repetitive DNA
Individuals within a species can exhibit vast variation in copy number of repetitive DNA elements. This variation may contribute to complex traits such as lifespan and disease, yet it is only infrequently considered in genotype-phenotype associations. Although the possible importance of copy number...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945026/ https://www.ncbi.nlm.nih.gov/pubmed/31757929 http://dx.doi.org/10.1534/g3.119.400771 |
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author | Morton, Elizabeth A. Hall, Ashley N. Kwan, Elizabeth Mok, Calvin Queitsch, Konstantin Nandakumar, Vivek Stamatoyannopoulos, John Brewer, Bonita J. Waterston, Robert Queitsch, Christine |
author_facet | Morton, Elizabeth A. Hall, Ashley N. Kwan, Elizabeth Mok, Calvin Queitsch, Konstantin Nandakumar, Vivek Stamatoyannopoulos, John Brewer, Bonita J. Waterston, Robert Queitsch, Christine |
author_sort | Morton, Elizabeth A. |
collection | PubMed |
description | Individuals within a species can exhibit vast variation in copy number of repetitive DNA elements. This variation may contribute to complex traits such as lifespan and disease, yet it is only infrequently considered in genotype-phenotype associations. Although the possible importance of copy number variation is widely recognized, accurate copy number quantification remains challenging. Here, we assess the technical reproducibility of several major methods for copy number estimation as they apply to the large repetitive ribosomal DNA array (rDNA). rDNA encodes the ribosomal RNAs and exists as a tandem gene array in all eukaryotes. Repeat units of rDNA are kilobases in size, often with several hundred units comprising the array, making rDNA particularly intractable to common quantification techniques. We evaluate pulsed-field gel electrophoresis, droplet digital PCR, and Nextera-based whole genome sequencing as approaches to copy number estimation, comparing techniques across model organisms and spanning wide ranges of copy numbers. Nextera-based whole genome sequencing, though commonly used in recent literature, produced high error. We explore possible causes for this error and provide recommendations for best practices in rDNA copy number estimation. We present a resource of high-confidence rDNA copy number estimates for a set of S. cerevisiae and C. elegans strains for future use. We furthermore explore the possibility for FISH-based copy number estimation, an alternative that could potentially characterize copy number on a cellular level. |
format | Online Article Text |
id | pubmed-6945026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-69450262020-01-09 Challenges and Approaches to Genotyping Repetitive DNA Morton, Elizabeth A. Hall, Ashley N. Kwan, Elizabeth Mok, Calvin Queitsch, Konstantin Nandakumar, Vivek Stamatoyannopoulos, John Brewer, Bonita J. Waterston, Robert Queitsch, Christine G3 (Bethesda) Investigations Individuals within a species can exhibit vast variation in copy number of repetitive DNA elements. This variation may contribute to complex traits such as lifespan and disease, yet it is only infrequently considered in genotype-phenotype associations. Although the possible importance of copy number variation is widely recognized, accurate copy number quantification remains challenging. Here, we assess the technical reproducibility of several major methods for copy number estimation as they apply to the large repetitive ribosomal DNA array (rDNA). rDNA encodes the ribosomal RNAs and exists as a tandem gene array in all eukaryotes. Repeat units of rDNA are kilobases in size, often with several hundred units comprising the array, making rDNA particularly intractable to common quantification techniques. We evaluate pulsed-field gel electrophoresis, droplet digital PCR, and Nextera-based whole genome sequencing as approaches to copy number estimation, comparing techniques across model organisms and spanning wide ranges of copy numbers. Nextera-based whole genome sequencing, though commonly used in recent literature, produced high error. We explore possible causes for this error and provide recommendations for best practices in rDNA copy number estimation. We present a resource of high-confidence rDNA copy number estimates for a set of S. cerevisiae and C. elegans strains for future use. We furthermore explore the possibility for FISH-based copy number estimation, an alternative that could potentially characterize copy number on a cellular level. Genetics Society of America 2019-11-22 /pmc/articles/PMC6945026/ /pubmed/31757929 http://dx.doi.org/10.1534/g3.119.400771 Text en Copyright © 2020 Morton et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Investigations Morton, Elizabeth A. Hall, Ashley N. Kwan, Elizabeth Mok, Calvin Queitsch, Konstantin Nandakumar, Vivek Stamatoyannopoulos, John Brewer, Bonita J. Waterston, Robert Queitsch, Christine Challenges and Approaches to Genotyping Repetitive DNA |
title | Challenges and Approaches to Genotyping Repetitive DNA |
title_full | Challenges and Approaches to Genotyping Repetitive DNA |
title_fullStr | Challenges and Approaches to Genotyping Repetitive DNA |
title_full_unstemmed | Challenges and Approaches to Genotyping Repetitive DNA |
title_short | Challenges and Approaches to Genotyping Repetitive DNA |
title_sort | challenges and approaches to genotyping repetitive dna |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945026/ https://www.ncbi.nlm.nih.gov/pubmed/31757929 http://dx.doi.org/10.1534/g3.119.400771 |
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