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Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci
BACKGROUND: Repetitive DNA is a major component of plant genomes and is thought to be a driver of evolutionary novelty. Describing variation in repeat content among individuals and between populations is key to elucidating the evolutionary significance of repetitive DNA. However, the cost of produci...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993463/ https://www.ncbi.nlm.nih.gov/pubmed/32000670 http://dx.doi.org/10.1186/s12864-020-6517-0 |
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author | Renny-Byfield, Simon Baumgarten, Andy |
author_facet | Renny-Byfield, Simon Baumgarten, Andy |
author_sort | Renny-Byfield, Simon |
collection | PubMed |
description | BACKGROUND: Repetitive DNA is a major component of plant genomes and is thought to be a driver of evolutionary novelty. Describing variation in repeat content among individuals and between populations is key to elucidating the evolutionary significance of repetitive DNA. However, the cost of producing references genomes has limited large-scale intraspecific comparisons to a handful of model organisms where multiple reference genomes are available. RESULTS: We examine repeat content variation in the genomes of 94 elite inbred maize lines using graph-based repeat clustering, a reference-free and rapid assay of repeat content. We examine population structure using genome-wide repeat profiles, and demonstrate the stiff-stalk and non-stiff-stalk heterotic populations are homogenous with regard to global repeat content. In contrast, and similar to previously reported results, the same individuals show clear differentiation, and aggregate into two populations when examining population structure using genome-wide SNPs. Additionally, we develop a novel kmer based technique to examine the chromosomal distribution of repeat clusters in silico and show a cluster dependent association with gene density. CONCLUSION: Our results indicate global repeat content variation in the heterotic populations of maize has not diverged, and is uncoupled from population stratification at SNP loci. We show that repeat families exhibit divergent patterns with regard to chromosomal distribution, some repeat clusters accumulate in regions of high gene density, whereas others aggregate in regions of low gene density. |
format | Online Article Text |
id | pubmed-6993463 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69934632020-02-04 Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci Renny-Byfield, Simon Baumgarten, Andy BMC Genomics Research Article BACKGROUND: Repetitive DNA is a major component of plant genomes and is thought to be a driver of evolutionary novelty. Describing variation in repeat content among individuals and between populations is key to elucidating the evolutionary significance of repetitive DNA. However, the cost of producing references genomes has limited large-scale intraspecific comparisons to a handful of model organisms where multiple reference genomes are available. RESULTS: We examine repeat content variation in the genomes of 94 elite inbred maize lines using graph-based repeat clustering, a reference-free and rapid assay of repeat content. We examine population structure using genome-wide repeat profiles, and demonstrate the stiff-stalk and non-stiff-stalk heterotic populations are homogenous with regard to global repeat content. In contrast, and similar to previously reported results, the same individuals show clear differentiation, and aggregate into two populations when examining population structure using genome-wide SNPs. Additionally, we develop a novel kmer based technique to examine the chromosomal distribution of repeat clusters in silico and show a cluster dependent association with gene density. CONCLUSION: Our results indicate global repeat content variation in the heterotic populations of maize has not diverged, and is uncoupled from population stratification at SNP loci. We show that repeat families exhibit divergent patterns with regard to chromosomal distribution, some repeat clusters accumulate in regions of high gene density, whereas others aggregate in regions of low gene density. BioMed Central 2020-01-30 /pmc/articles/PMC6993463/ /pubmed/32000670 http://dx.doi.org/10.1186/s12864-020-6517-0 Text en © The Author(s) 2020 Open Access This article is 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 you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Renny-Byfield, Simon Baumgarten, Andy Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci |
title | Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci |
title_full | Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci |
title_fullStr | Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci |
title_full_unstemmed | Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci |
title_short | Repetitive DNA content in the maize genome is uncoupled from population stratification at SNP loci |
title_sort | repetitive dna content in the maize genome is uncoupled from population stratification at snp loci |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6993463/ https://www.ncbi.nlm.nih.gov/pubmed/32000670 http://dx.doi.org/10.1186/s12864-020-6517-0 |
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