Abstract
Satellite DNA (satDNA) is one of the major fractions of the eukaryotic nuclear genome. Highly variable satDNA is involved in various genome functions, and a clear link between satellites and phenotypes exists in a wide range of organisms. However, little is known about the origin and temporal dynamics of satDNA. The “library hypothesis” indicates that the rapid evolutionary changes experienced by satDNAs are mostly quantitative. Although this hypothesis has received some confirmation, a number of its aspects are still controversial. A recently developed next-generation sequencing (NGS) method allows the determination of the satDNA landscape and could shed light on unresolved issues. Here, we explore low-coverage NGS data to infer satDNA evolution in the phylogenetic context of the diploid species of the Chenopodium album aggregate. The application of the Illumina read assembly algorithm in combination with Oxford Nanopore sequencing and fluorescent in situ hybridization allowed the estimation of eight satDNA families within the studied group, six of which were newly described. The obtained set of satDNA families of different origins can be divided into several categories, namely group-specific, lineage-specific and species-specific. In the process of evolution, satDNA families can be transmitted vertically and can be eliminated over time. Moreover, transposable element-derived satDNA families may appear repeatedly in the satellitome, creating an illusion of family conservation. Thus, the obtained data refute the “library hypothesis”, rather than confirming it, and in our opinion, it is more appropriate to speak about “the library of the mechanisms of origin”.
Highlights
IntroductionThe funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
In silico tandem repeat finder (TRF) scanning results were applied for the identification of eight Satellite DNA (satDNA) families and the most common microsatellites in the genomes of diploid C. album aggregate species (Tables 2 and 3)
Application of the short read genome assembly algorithm in combination with Oxford Nanopore reads (ONs) sequencing allowed the estimation of the satDNA landscape of the genomes of the diploid C. album aggregate species
Summary
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript
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