A pangenomic perspective of the Lake Malawi cichlid radiation reveals extensive structural variation driven by transposable elements
Quah, F. X.; Almeida, M. V.; Blumer, M.; Yuan, C. U.; Fischer, B.; See, K.; Jackson, B.; Zatta, R.; Rusuwa, B.; Turner, G. F.; Santos, M. E.; Svardal, H.; Hemberg, M.; Durbin, R.; Miska, E.
Show abstract
The East African Rift Lakes, namely Lake Malawi, Victoria, and Tanganyika, host a remarkable diversity of cichlid fishes, representing one of natures most striking vertebrate radiations. Despite rich phenotypic diversity, single nucleotide polymorphism (SNP)-based sequencing studies have revealed little sequence divergence between cichlids, with 0.1 to 0.25% pairwise divergence within Lake Malawi. These studies were based on aligning short reads to a single linear reference genome, which ignores the contribution of larger scale structural variants (SVs). To complement existing SNP-based studies, we adopted a pangenomic approach by constructing a multiassembly graph of haplochromine cichlids in Lake Malawi. We produced six new long read genome assemblies, alongside two publicly available ones, to span most of the major eco-morphological clades in the lake. This approach not only identifies longer SVs, but also visually represents complex and nested variation. Strikingly, the SV landscape is dominated by large insertions, many exclusive to individual assemblies. From a pangenomic perspective, we observed an exceptional amount of extra sequence, totaling up to 33.1% additional bases with respect to a single cichlid genome. Approximately 4.73 to 9.86% of the cichlid assemblies were estimated to be interspecies structural variation, suggesting substantial genomic diversity underappreciated in previous SNP-based studies. While coding regions remain highly conserved, our analysis uncovers a significant contribution of SVs from transposable element (TE) insertions, especially DNA, LINE, and LTR transposons. These findings underscore the intricate interplay of evolutionary forces shaping cichlid genome diversity, including both small nucleotide mutations and large TE-derived sequence alterations.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Ploidy variation and its implications for reproduction and population dynamics in two sympatric Hawaiian coral species 96%
- A chromosome-level genome assembly and resequencing data reveal low DNA methylation and reduced diversity in the solitary bee pollinator Osmia cornuta 96%
- Genome sequencing of the nine-spined stickleback (Pungitius pungitius) provides insights into chromosome evolution. 96%
Similar papers in this journal
- The mutation landscape of Daphnia obtusa reveals evolutionary forces shaping genome stability 95%
- Genomics of secondarily temperate adaptation in the only non-Antarctic icefish 95%
- Genomics of an avian neo-sex chromosome reveals the evolutionary dynamics of recombination suppression and sex-linked genes 94%
Similar papers in this journal
- A second unveiling: haplotig masking of the eastern oyster genome improves population-level inference 95%
- Klumpy: A tool to evaluate the integrity of long-read genome assemblies and illusive sequence motifs 95%
- Origin Matters: Using a Local Reference Genome Improves Measures in Population Genomics 95%
Similar papers in this journal
- Genome assembly, structural variants, and genetic differentiation between Lake Whitefish young species pairs (Coregonus sp.) with long and short reads 97%
- Pathways to polar adaptation in fishes revealed by long-read sequencing 96%
- Movement of transposable elements contributes to cichlid diversity 95%
Similar papers in this journal
- Extreme genome scrambling in cryptic Oikopleura dioica species 96%
- A chromosome-level assembly of the Atlantic herring - detection of a supergene and other signals of selection 95%
- Telomeric repeat evolution in the phylum Nematoda revealed by high-quality genome assemblies and subtelomere structures 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.