A new method for determining ribosomal DNA copy number shows differences between Saccharomyces cerevisiae populations

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved..

Ribosomal DNA genes (rDNA) encode the major ribosomal RNAs and in eukaryotes typically form tandem repeat arrays. Species have characteristic rDNA copy numbers, but there is substantial intra-species variation in copy number that results from frequent rDNA recombination. Copy number differences can have phenotypic consequences, however difficulties in quantifying copy number mean we lack a comprehensive understanding of how copy number evolves and the consequences. Here we present a genomic sequence read approach to estimate rDNA copy number based on modal coverage to help overcome limitations with existing mean coverage-based approaches. We validated our method using Saccharomyces cerevisiae strains with known rDNA copy numbers. Application of our pipeline to a global sample of S. cerevisiae isolates showed that different populations have different rDNA copy numbers. Our results demonstrate the utility of the modal coverage method, and highlight the high level of rDNA copy number variation within and between populations.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:114

Enthalten in:

Genomics - 114(2022), 4 vom: 30. Juli, Seite 110430

Sprache:

Englisch

Beteiligte Personen:

Sharma, Diksha [VerfasserIn]
Denmat, Sylvie Hermann-Le [VerfasserIn]
Matzke, Nicholas J [VerfasserIn]
Hannan, Katherine [VerfasserIn]
Hannan, Ross D [VerfasserIn]
O'Sullivan, Justin M [VerfasserIn]
Ganley, Austen R D [VerfasserIn]

Links:

Volltext

Themen:

Bioinformatics method
Copy number
DNA, Ribosomal
Journal Article
RNA, Ribosomal
Research Support, Non-U.S. Gov't
Ribosomal DNA
Saccharomyces cerevisiae
Saccharomyces cerevisiae Proteins
Sequence read coverage
Tandem repeats

Anmerkungen:

Date Completed 23.08.2022

Date Revised 17.09.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.ygeno.2022.110430

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM343512734